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Systematic Review of the Toy Industry in India: Trends, Challenges,
and Global Integration"
Adit Jha
1
, Praveen Choudhry
2
1
Research Scholar, Vivekananda Global University, Jaipur,
2
Professor, Vivekananda Global University, Jaipur, Rajasthan, India
DOI: https://doi.org/10.51583/IJLTEMAS.2026.150600084
Received: 14 June 2026; Accepted: 19 June 2026; Published: 07 July 2026
ABSTRACT
Purpose: This study examines the intellectual evolution of the toy industry through a domain-based
Systematic Literature Review (SLR). The review is guided by four research questions: (RQ1) What are the
publication trends in toy-related research? (RQ2) What thematic clusters define the intellectual structure of
the toy domain? (RQ3) How do policy and economic developments influence the evolution of the toy industry?
and (RQ4) What future research directions emerge from existing literature?
Research Design: The review follows PRISMA 2020 guidelines and the SPAR-4-SLR protocol. Peer-
reviewed articles were systematically retrieved from the Scopus database to capture historical developments
and structural shifts within the toy industry. Bibliometric techniques were applied using Biblioshiny (R) and
VOSviewer, including descriptive analysis, keyword co-occurrence mapping, cluster analysis, and factorial
analysis (PCA).
Key Findings: The findings reveal a steady Compound Annual Growth Rate (CAGR) of 6.65% in toy-related
research. The literature is organized into ten thematic clusters, which merged together as three core areas such
as; core toys, smart and digital toys and toy production & design, . Keywords related to data-driven
technologies, such as deep learning, machine learning, and IoT, appear prominently, reflecting the growing
integration of digital and analytical tools within toy research. Recent studies increasingly focus on wooden
toys, smart toys, and technology-enabled play products.
Originality and Implications: To the best of the authors knowledge, this is the first domain-wide
bibliometric review of the toy industry. The study offers a structured understanding of research trends and
thematic evolution, providing useful insights for scholars, industry practitioners, and policymakers. The
findings support evidence-based decision-making for innovation, policy formulation, and future academic
inquiry in the toy sector. The findings will also help governments, startups to identify the core changes of the
toy industry in recent years, which will help the government to make a policy framework; practitioners to
identify new trends and clusters.
Keywords: Toy Industry; Toy Manufacturing; Bibliometric Analysis; Toy Innovation; Data Analytics
Paper Type: Systematic Literature Review
INTRODUCTION
The toy industry represents a distinctive intersection of culture, manufacturing, innovation, and childhood
development. Historically, toys have not only served as objects of play but have also reflected the cultural
values, craftsmanship, and social contexts of their regions. In the Indian context, archaeological and historical
accounts trace the presence of toys back to the Indus Valley civilization, highlighting a long-standing tradition
of indigenous toy-making (About Indian Toys). Toys enable play and imagination in children. Gurudev
Rabindranath Tagore noted that incomplete toys encourage creativity, but he also observed how attractive
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foreign-made toys can shift attention from imaginative play to the object itself (Modi, 2020). Despite this rich
heritage, the contemporary Indian toy industry remains economically underrepresented, with Indian firms
accounting for a marginal share of the global toy market and domestic manufacturers meeting only a limited
proportion of internal demand (ASSOCHAM, 2021; The Indian Toy Industry Fighting for Its Survival, 2021).
Scholarly research on toys has evolved across multiple disciplinary lenses. Early studies primarily examined
conventional toys and their material and functional characteristics (Jayan, 2018), while subsequent research
expanded into consumer behavior and purchasing patterns associated with toys (Ellen, 2006; Bhuwandee,
2016; Sian, 2020). Other studies explored psychological and developmental dimensions, including personality
traits and learning outcomes associated with toy use (Goldberg, 2000; Yi Lin, 2010; Anette Sandberg, 2008).
Collectively, these works established toys as meaningful products influencing child development, family
interaction, and consumption behavior.
Further streams of literature investigated social and contextual dimensions of toy use. Studies focusing on
gender-based toy preferences (Luisi, 2019; Davis & Hines, 2020) and family interactions with toys (Wood,
2002; Dawson, 2008; Goldbart et al., 2010) highlighted the role of toys in shaping socialization and relational
dynamics. Parallel research addressed entrepreneurship and production aspects, including women-led soft toy
enterprises (Kumar, 2009), design innovation, creativity, and sustainability in toy manufacturing (Pereira,
2017). Health-related studies examined the impact of games and toys on children’s physical and psychological
well-being (Johnson, 2011; Maureira, 2019; Yadav, 2020; Sajjadi, 2022), further broadening the scope of toy-
related scholarship.
In recent years, the toy industry has also attracted attention from a policy and economic perspective. Toy
industry has identified as one of the most potential industry which is supposed to reach $179.4 billion by 2032
(IANS, 2025). Comparative trade studies, particularly those examining India–China dynamics, have
highlighted structural weaknesses in domestic manufacturing and competitiveness (ASSOCHAM, 2021).
Recognizing this potential, the Government of India has identified the toy industry as a strategic sector for
economic growth and employment generation. Policy initiatives such as quality control orders, manufacturing
incentives, and the National Action Plan to Accelerate India’s Toy Sector have aimed to promote indigenous
production and reduce import dependency (National Action Plan, 2021; Modi, 2020). Institutional efforts,
including the organization of the National Toy Fair by the Department for Promotion of Industry and Internal
Trade (DPIIT), further signal growing policy emphasis on revitalizing the sector.
Alongside these developments, recent academic publications increasingly reference data-driven and
technology-oriented concepts within toy-related research. Keywords such as artificial intelligence, machine
learning, and IoT appear with greater frequency, reflecting broader trends in smart manufacturing, product
innovation, and digital play experiences. However, these technological themes have largely emerged in a
fragmented manner and have not been systematically mapped within the broader toy industry literature.
Despite the richness and diversity of existing studies, the literature on the toy industry remains dispersed across
disciplines, methodologies, and thematic areas. Prior reviews have typically focused on specific aspects, such
as gender preferences or developmental outcomes, without offering a comprehensive overview of the domains
intellectual structure (Davis & Hines, 2020). Consequently, there is limited clarity regarding publication
trends, dominant research clusters, policy linkages, and emerging themes within toy-related scholarship as a
whole.
The primary objective of this study is to systematically examine the existing body of literature on the toy
industry and to map its intellectual structure using bibliometric analysis. Specifically, the study aims to:
(i) analyse publication trends in the toy research domain;
(ii) identify and interpret major thematic clusters shaping the literature;
(iii) examine the influence of policy and economic developments on the evolution of toy-related research; and
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(iv) propose future research directions based on identified gaps. To address these objectives, the study is guided
by the following research questions:
RQ1: What are the prevailing publication trends in toy-industry research?
RQ2: What thematic clusters define the intellectual structure of the toy domain?
RQ3: How do policy and economic developments influence the evolution of the toy industry literature?
RQ4: What future research opportunities emerge from existing studies?
Against this backdrop, a domain-based Systematic Literature Review is both timely and necessary.
Bibliometric analysis provides a robust methodological approach to synthesizing large volumes of literature,
enabling the identification of publication patterns, thematic clusters, and conceptual relationships (Paul, 2020;
Rana, 2016). Accordingly, the purpose of this study is to conduct a systematic and bibliometric review of the
toy industry, mapping its intellectual evolution, examining the influence of policy and economic
developments, and identifying future research opportunities. By doing so, the study offers a cohesive
understanding of the toy research landscape and contributes meaningful insights for scholars, industry
practitioners, and policymakers.
RESEARCH METHODOLOGY
Review Design
The present study conducts a Systematic Literature Review (SLR) on the Toy Industry of India, drawing
insights from global perspectives. In alignment with the research methodology, the literature review aims to
"contribute significantly to the conceptual, methodological, and thematic development of different domains"
(Palmateir, 2018).
The researcher adopts the scientific steps of SLR, involving organization and purification of dataset and,
finally, analysis and future roadmap development, departing from the traditional form of literature review
described as the "process of assembling, arranging, and assessing existing literature in the research domain"
(Justin Paul, 2021). Purification refers to removing the irrelevant data from the study through coding, inclusion
and exclusion criteria. The main aim of SLR to provide deep insights from the domain and to provide value
from the current literature of the toy domain by providing future research aspects. (Khanra Sayantan A. D.,
2021) .
There are various phases of a systematic Literature review. Khanra et.al. (2021) have conducted a literature
review in three phases: scanning, curating, and reporting, which include the selection of appropriate studies
by appropriate keywords; curating refers to refining the results from the scanning phase; and the last step
followed as reporting of data (Khanra et.al., 2021). The initial step in the Systematic Literature Review entails
identifying definitions and keywords. The researcher establishes criteria for the appearance of keywords in
either the abstract or the full-text manuscript. Subsequent steps involve searching for papers across various
databases, reading abstracts, and selecting titles, followed by the selection of full papers. The final step
involves the analysis of extracted papers from the
SPAR-4-SLR & PRISMA Protocol
Researchers have adapted SPAR-4-SLR & PRISMA (Matthew, 2021); sequential phases of Khanra et.al.
(2021). These all protocols stand for systematic literature review (Paul et.al 2021; Khanra et.al, 2021).
SPAR-4-SLR protocols describe the entire procedure of systematic literature review, which includes the 3
stages of SLR and 6 subtopics.
On the basis of protocols, researchers have conducted the review. Inclusion and exclusion criteria for the
research is one of the important parts of the review study, which help in deselecting the irrelevant research
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articles (Plessen, 2020). The authors have followed the mixed-methodology approach outlined by Khanra
(2021) and Justine Paul (2021) (Khanra et al., 2021; Paul et al. 2021). The sequential phases of SLR has
adopted from Khanra et.al 2021. The process of Systematic Literature Review is mentioned in table 1.
Table 1: Process of Systematic Literature Review
Sr.No.
Phase (Paul,2021)
Sequential Phases, Khanra et.al.
(2021)
1
Definition and Key word identification
Scanning Phase
2
Searching the papers from various databases
3
Abstract and title selection
Curating Phase
4
Identifying full research paper
5
Analysis of the papers
Analysis Phase
Source: Three decades of export competitiveness literature: systematic review, synthesis and future research
agenda (Justin paul R. D., 2021); Servitization research: A review and bibliometric analysis of past
achievements and future promises (Khanra et al. 2021).
To describe the process of SLR, the Inclusion-Exclusion process was followed in Phase 1:
Scanning Phase
The initial inclusion process. Authors have used search strings as follows: The primary database has been
taken from two sources, first, the SCOPUS database as the primary data source, and second, government
reports on toys. The reason behind selecting government reports was to study the developments in the toy
domain concerning quality, infrastructure development, and educational uses. To identify relevant literature
for this study, a comprehensive search was conducted using the Scopus database. The search string included
the keywords TITLE-ABS-KEY ( "Toys" OR "Toy Startups" OR "Toy
Ecosystem" OR "Khilone” ) AND ( LIMIT-O ( AFFILCOUNTRY, "India" ) ) AND (LIMIT TO
((LANGUAGE, “English”)).
"Toy", "Toys", OR "Khilone" to capture both English and vernacular references to toys. The search was
restricted to publications from 1993 to 2026 (i.e., PUBYEAR > 1993 AND PUBYEAR < 2026). Additionally,
only English-language publications with at least one author affiliated with an institution in India were included
in the final dataset.
Curating Phase
The study has considered the keyword as “Toy.” A total of 291 research papers were identified from the
Scopus database, and 24 government reports were identified for review. Papers where keywords have appeared
in the abstract or in the full text were selected; after the careful review of 291 papers, 151 research papers were
excluded from the final consideration in the review process; Total number 140 research papers were selected
for further analysis, and of these 140 papers 24 government reports were identified for further analysis.
Due to non-applicable key terms. The exclusion and inclusion criteria is given below - The researchers have
used the PRISMA protocol to show the exclusion-inclusion process it as shown in Figure 1.
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Figure 1: Inclusion-Exclusion Process
Source: Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R
package and Shiny app for producing PRISMA 2020.
Research QuestionsResearchers have examined four questions in their review paper next part of the paper
will discuss the research questions and the statistics used (Table 2) for the same
RQ 1: What are the recent publications and trends in the toy domain?
RQ 2: What are the various clusters in the toy domain literature?
RQ 3: What are the policy initiatives to improve the domain in recent years?
RQ 4: What are the future research aspects in the domain
Table 2: Statistics Used in Research Questions
Sr. No.
Research Question
1
What are the recent publication trends in the toy domain?
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2
What are the various clusters in the toy domain literature?
3
What are the policy initiatives to improve the domain in recent
years?
4
What are the future research aspects in the domain
Source: author’s own implication
RQ 1: What are the major publications trends in the toy domain
To examine this question, researchers have used the Scopus database; the range of data appears in the study is
from 2000 to 2025, the first paper that came into review was from the year 2000, with a Compound Annual
Growth Rate (CAGR) of 6.65%. A compound annual growth rate (CAGR) of 6.65% in the toy industry points
to a healthy and consistent rise in the sector over the selected time period. This upward trend highlights the
growing interest of parents and caregivers in toys that support learning, creativity, and overall child
development. It also reflects improving purchasing power, changing lifestyle preferences, and the wider
availability of both Indian and global toy brands in the market. Overall, this level of growth indicates
increasing confidence in the toy sector and underlines its potential as an attractive area for business investment
and innovation. Total number of 72 articles were published in 2021-2025 presented in graph 1 with CAGR of
6.65%, smart innovation, systems and Technologies (6 ) articles was found to lead toy literature, followed by
Exergaming Intervention For Children, Adolescents, And Elderly People (5) and Lecture Notes In Mechanical
Engineering (4) presented in table 3. Das S was found most influential author in toy domain, followed by Patil,
Sharma, Bhat. The list of top 10 most influential authors in the domain was summarized in table 4
Source: R-Suite Biblioshiny author’s data
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Graph 1: Years of Article Publication
Source: Author’s Own Compilation
Table 3: Most Influential Journals
Sr.No
.
Journal Name
Published
Articles
1
Smart Innovation, Systems And Technologies
6
2
Exergaming Intervention For Children, Adolescents, And Elderly People
5
3
Lecture Notes In Mechanical Engineering
4
4
Lecture Notes In Networks And Systems
3
5
Materials Today: Proceedings
3
6
Acm International Conference Proceeding Series
2
7
Acm/Ieee International Conference On Human-Robot Interaction
2
8
Bioplastics For Sustainability: Manufacture, Technologies, And Environment
2
9
Emerald Emerging Markets Case Studies
2
10
Journal Of Molecular Liquids
2
Source: Author’s Own Compilation
Table 4: Top 10 author’s based on number of publication
Sr. No.
Author’s Name
Author’s Affiliation
Article
1
DAS S
Department of Design IIT, Guwahati
3
2
PATIL K
Department of Design, Department of Humanities and
Social Sciences, Indian Institute of Technology
Kanpur, Kanpur, UP, India
3
3
5
14
32
72
0
10
20
30
40
50
60
70
80
2000-2005 2005-2010 2011-2015 2016-2020 2021-2025
1 2 3 4 5
Year-Wise Publication
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3
SHARMA S
Faculty of Information Technology and
Communication Sciences, Tampere University,
Finland
3
4
BHAT JS
Manipal Academy of Higher Education, Manipal,
India
2
5
INDIA G
Microsoft Research, Bangalore, India
2
6
JOHRY A
IDC School of Design, IIT Bombay
2
7
JOSEPH CV
National Institute of Design, Gandhinagar, India
2
8
KHANEJA S
School of Business, World University of Design,
Haryana, Sonipat, India
2
9
KUMAR P
Department of Design, Shiv Nadar University, Uttar
Pradesh
2
10
KUMAR S
Amity Business School, Amity University, Noida,
India
2
Source: Author’s Own Compilation
Authors from the top-most institute of the country have contributed in toy research domain, notably 50% of
the authors belong to the design department, which indicates the product design part and material importance
in the toy domain. Material refers to raw material and components used in the toy design and production.
Analysis
RQ 2: What are the various clusters in the toy domain literature?
To track the trends, clusters, and networks, researchers have Vosviewer and R-Suite Biblioshiny for
identifying the emerging field of a domain. The VOSviewer overlay visualization in the image provides a clear
picture of research trends by mapping out the connections between different keywords. Each node (keyword)
represents a frequently used term in the dataset, while the links between them show how often these terms
appear together in research papers. The size of the nodes reflects the frequency of keyword usage, and the
colors indicate different clusters of related topics. Additionally, the color gradient (2019-2022) helps track the
evolution of research focus.
At the heart of the visualization lies the keyword “toys,” which acts as the central anchor for the entire research
landscape. Its strong connections with terms such as toy manufacture, toy design, design, and sustainable
development (Smith et al., 2020) suggest that earlier studies largely concentrated on production methods,
material choices, and design considerations. These themes represent the foundational phase of toy research,
where attention was primarily directed toward improving manufacturing processes and aligning product design
with sustainability concerns.
A noticeable cluster on the left side of the network highlights design-oriented research, including keywords
like product design, design and development, wooden toys, and toy manufacture. This grouping reflects
sustained academic interest in traditional craftsmanship, eco-friendly materials, and responsible production
practices (Gupta & Sharma, 2021). The association of these themes with sustainable development indicates
that environmental considerations gradually became an integral part of toy design research rather than a
peripheral concern.
In contrast, the right side of the visualization shows a stronger focus on the end user, with keywords such as
child, children, children’s toys, human, and India. The relatively recent appearance of these terms suggests a
shift in research priorities toward understanding children’s needs, play behavior, and socio-cultural contexts.
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The inclusion of India points to growing scholarly attention in developing economies, where policy support,
demographic trends, and domestic manufacturing initiatives are reshaping the toy sector.
The lower portion of the network reveals emerging themes linked to technological advancement, including
artificial intelligence, Internet of Things, and learning-related concepts (Kumar & Jain, 2022). These
keywords, which appear in warmer shades, indicate newer research directions that combine digital
technologies with toys aimed at enhancing learning and cognitive development. Their connections with
children and cognitive development highlight a transition toward smart and interactive toys designed to
support educational outcomes.
Overall, the overlay visualization captures a clear progression in toy-related research. The field has moved
from a strong emphasis on manufacturing and design toward a more interdisciplinary approach that
incorporates child development, technology, and innovation. This shift reflects broader changes in consumer
expectations and technological capabilities, suggesting that future research in the toy domain is likely to
continue blending design, sustainability, and intelligent systems with a strong focus on child-centric value
creation.
Diagram 1: Overlay Visualisation
Source: VoS Viewer, overlay visualization
Diagram 2: Coword Network Analysis
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Source: R-Biblioshiny Result on Coword Net
Coword network analysis clearly exhibited a few key words in focus, which combined other key terms in the
network, such as reinforcement learning, which has a strong network with learning toys, decision making
through toys (red network); whereas other networks indicated key terms such as human, articles, and female-
oriented toys.
Table 5: Cluster Analysis
Cluster
Callon
Centrality
Callon
Density
Rank
Centrality
Rank
Density
Cluster
Frequency
Toys
6.914
97.517
4
7
15
Internet Of Things
3.953
133.6
7
5
37
toy manufacture
4.803
76.681
9
8
366
children's toys
7.076
174.044
8
9
455
design and
development
2.632
82.083
5
2.5
9
computational
thinkings
0.167
83.333
6
6
15
learning algorithms
0.889
48.148
1.5
2.5
2
developing countries
0
50
3
2.5
2
nanocomposites
0.25
50
1.5
2.5
2
supply chain
management
0
50
1.21989817
2.585822
54
Source: Author’s Own Compilation
The dataset provides an insightful overview of various research themes by evaluating their significance and
development within the academic landscape. The Callon Centrality metric highlights how interconnected a
topic is with other research areas. The “children’s toyscluster shows high centrality (7.076) and very high
density (174.044), indicating that it is both well-developed and highly influential within the overall research
network. Its high frequency further confirms that this theme acts as a core driver of scholarly discussions,
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linking developmental, educational, and product-oriented studies in the toy domain kids (Chugh, 2020),
(Lydia, et al., 2024). Similarly, the “toyscluster demonstrates strong internal development with a high density
(97.517) and moderate centrality, suggesting that it represents a foundational theme. While internally cohesive,
its slightly lower centrality implies that it supports the field rather than driving cross-thematic integration.
The “Internet of Thingscluster exhibits moderate centrality (3.953) but high density (133.6), indicating a
specialized yet mature niche theme. This reflects focused research on smart toys and connected play
technologies that are conceptually advanced but still limited in broader integration across the field (Pujari S.
Sachin, 2017). The “toy manufactureand “design and developmentclusters display moderate density and
centrality, positioning them as basic and transversal themes. Their high frequency, particularly for toy
manufacture, highlights their practical relevance, although their moderate centrality suggests room for stronger
theoretical integration with emerging digital and cognitive themes.
Clusters such as “computational thinking,” “learning algorithms,” “nanocomposites, and “developing
countriesshow low centrality values, indicating that they are emerging or peripheral themes. Despite some
internal coherence, their limited connectivity suggests that these topics are still in early stages of conceptual
integration within the toy research landscape. Lastly, “supply chain managementpresents low centrality and
moderate density, suggesting a specialized but under-explored theme, particularly relevant in the context of
manufacturing resilience and global production networks.
For tracking the various dimensions in the toy industry, Factor Analysis was conducted. In factor analysis,
Principal Component Analysis has been performed through cluster analysis, which is used to reduce the
dimensions. Values of factor analysis are shown in Table 6.
Table 6: Factor Analysis, Principal Component Analysis (PCA)
word
Dim1
Dim2
cluster
toys
0
-0.34
1
internet of things
0.35
-1.96
1
toy manufacture
0.22
0.39
1
children
0.2
0.27
1
children's toys
-1.64
0.14
1
artificial intelligence
0.21
-0.6
1
design
0.24
0.43
1
design and development
0.15
0.23
1
human
-3.39
-0.05
1
learn+
0.33
-0.15
1
toy design
0.18
0.34
1
wooden toys
0.14
0.41
1
article
-3.98
-0.17
1
child
-1.1
0.33
1
cognitive development
0.14
0.02
1
Source: Data result analysis author’s own compilation R-Studio, biblioshiny
The data provides important insights into how concepts from technology, artificial intelligence, and human-
centered research interconnect. Words related to advanced systems — such as "reinforcement learning" (0.73,
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-0.31), "deep learning" (0.76, -1.04), and "robotics" (0.79, -1.27) cluster with positive Dim1 values,
reflecting a focus on automation and intelligent systems. In contrast, terms like "child" (-1.92, 0.05), "health
care policy" (-1.62, 0.05), and "controlled study" (-2.35, 0.06) show negative Dim1 values, indicating a strong
association with healthcare, psychology, and human behavior. This split suggests a broader theme where
technology and humanity coexist, likely in research on intelligent systems impacting societal aspects.
The second dimension further refines this perspective. Words that represent structured research processes and
decision-making, such as "Markov decision processes" (0.78, 2.37) and "behavioral research" (0.65, 1.99),
have high Dim2 values. In contrast, more practical or application-based technology terms, like "robots" (0.66,
-1.38) and "intelligent robots" (0.47, -0.9), lean towards negative Dim2 values. This division could reflect a
difference between theoretical frameworks and real-world implementations. Despite these variations, the fact
that all words fall under Cluster 1 suggests they are part of a cohesive research domain where human behavior,
decision-making, and technological systems intersect.
Table 7: Summary of Factor Analysis (PCA) Themes and Data
Theme
Examples (Dim1, Dim2)
Trend (Dim1 / Dim2)
Technology & AI
Reinforcement learning (0.73, -0.31),
Robotics (0.79, -1.27)
Positive / Negative
Human & Social Sciences
Child (-1.92, 0.05),
Health care policy (-1.62, 0.05)
Negative / Slightly Positive
Decision-Making
Processes
Markov processes (0.78, 2.37),
Decision making (-0.13, 1.32)
Slightly Positive / Strongly Positive
Robotics & Automation
Intelligent robots (0.47, -0.9),
Robot programming (0.59, 1.31)
Positive / Negative or Positive
Healthcare & Policy
Major clinical study (-2, -0.06),
Environmental exposure (-1.33, -
0.26)
Strongly Negative / Slightly
Negative
Source: Author’s Own Compilation
Content Analysis of Clusters
Prior studies on cluster analysis have ten clusters, which are further clubbed into three core clusters. Clusters
can be merged together if they are similar in nature and if they together give better results (Booth et al. 2013).
Three cluster areas were clubbed according to the similarities in studies. Three clusters were named as, Core
Toy Domain which includes studies related to the toys, children toys (Pandey, 2021; Ravichandran et.al. 2022)
second cluster has emerged as Smart and Innovative Toys which includes research on latest toy innovations,
AI toys, Toys with machine learning (Gesu et.al, 2020, Joshi et.al. 2017); third, toy production and design
system which includes studies related to design and development of toys with new materials, sustainable toys,
indigenous toy design ((Rangaswami, 2018, Chattopadhyay, 2015). To analyze the thematic area, we have
included Table 8 & Table 9
Table 8: Core cluster identification
Cluster Number
Cluster Component
Core Cluster
1
Toys, Children’s Toy
Core Toy Domain
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2
IoT-based toys, Computational Thinking toys,
Machine Learning, Robotics-based toys
Smart and Digital Toys
3
Toy Production, toy manufacture, design and
design development, sustainable toys
Toy production and design
system
Source: Author’s Own Implication
Table 9: Analysis of Core
Thematic Area
Thematic Area
Prior Literature
Research Gap
Core Toy Domain
Using sustainable materials for
the development of toys
(Pandey et.al, 2021)
Market Acceptance of those
products is not studied
A study on Fragrance
Chemicals in Children’s
products was analyzed in the
context of various toys
(Ravichandran et.al. 2022)
Consumer behavior and
parental perspectives are not
discussed
Use of sustainable materials to
build environmentally friendly
toys (Rebello et.al. 2021)
Safety norms and consumer
acceptance of sustainable toys
were not addressed
The study discussed children’s
health by examining buyers
attitudes and purchase
intentions toward green toys in
India (Saini et al. 2024)
The study has discussed limited
stakeholders sus as buyers.
Study has not discussed other
stakeholders like, like
manufacturers, suppliers or
designer’s perspective
A comprehensive empirical
investigation of phthalate
contamination in children’s
toys available in the Indian
market was discussed.
Parental awareness regarding
phthalates in Indian toys and
consumer attitudes were not
discussed
Smart and Digital Toys
Study on toy design specifically
for computational Thinking, for
school students through
learning toys/play-based
learning tools. (Gesu,at.al,
2020)
Play-based physical
programming toys with a digital
approach are not defined
A study based on the smart
cradle baby toy with an
operating system of Android
was discussed and analyzed
(Joshi et.al. 2017)
Consumer acceptance and
parents' perception of using this
type of toy were not analyzed
The study discussed remotely
controlled smart robot toys as a
medium of communication
between parents and children.
The user experience of parents
was not discussed
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IoT based smart toy car has
been discussed. The study
analyzed multiple features of
the Smart toy car, such as
automated obstacle detection,
indicator activation, and
bloototh enabled voice system
Educational and development
impact has not been discussed
in the study.
The study discussed the use of
robot toys in imparting
education and improving the
level of understanding of
STEM subjects. This integrated
fun and IoT together, and their
drawbacks and challenges were
discussed (Gupta & Jain, 2021)
Third, the study does not
address affordability, and
accessibility—especially in
low-resource settings—are also
not addressed. Additionally, the
paper does not examine the
environmental or sustainability
implications of deploying
robotic systems in education.
Toy Production & Design
System
Composite materials, from
ancient applications to modern
high-performance composites
used in toys, were discussed
Sustainable fibers in toy
manufacturing are not
discussed
Life cycle assessment results
show that Channapatna wooden
toys made from Wrightia
tinctoria have lower toxicity,
reduced energy demand, and
smaller environmental impacts
than PVC toys. Their localized
production also supports
traditional craftsmanship and
sustainable small-scale
manufacturing, making them an
environmentally preferable
option for children’s products
(Rangaswami, 2018)
Market option barriers,
consumer perception is not
discussed, cost–benefit
assessment or life cycle costing
(LCC) are absent.
The study demonstrates the
potential of jute as a sustainable
material for value-added
products, including soft toys.
Natural dyeing of jute fabric
using plant-based dyes and
double pre-mordanting
significantly improved color
yield, fastness properties, UV
protection, and antimicrobial
performance, reinforcing jute’s
suitability for eco-friendly
textile applications
(Chattopadhyay, 2015)
The study doesn’t examine the
scalability, cost implications, or
industrial feasibility of the
dyeing and mordanting
processes.
It highlights key entrepreneurial
attributes, including resilience,
innovation, and strategic
It lacks an assessment of
consumer perception, market
demand analytics, and
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decision-making, while
emphasizing the role of product
design, upskilling, and market-
oriented innovation in
sustaining traditional crafts
(Kumar, 2023)
competitive benchmarking.
Additionally, issues related to
digital marketing adoption,
supply chain scalability,
sustainability metrics, and
policy-level support
mechanisms
Source: Author’s Own Implication
Thematic Analysis
The thematic cluster analysis reveals a structured yet evolving research landscape within the toy-related
literature. Themes positioned with high density and centrality highlight areas that are both conceptually mature
and strongly integrated into the broader knowledge network, while clusters with lower connectivity signal
emerging or specialized research directions. Thematic clusters connect with four broad themes such as basic
themes, emerging or declining themes, niche themes, and motor themes. The dominance of children’s toys
reflects the sustained scholarly focus on child-centric perspectives, encompassing play behavior, learning
outcomes, safety, and developmental benefits. Its strong internal cohesion and connectivity suggest that this
theme acts as a central anchor, linking multiple strands such as education, design, and technology.
Similarly, the toys cluster represents a foundational research base, reinforcing the centrality of traditional toy
studies while supporting adjacent themes rather than driving methodological or technological expansion.
Technology-oriented clusters, particularly Internet of Things, demonstrate high conceptual maturity but
moderate integration across the network. This positioning suggests that smart toys and connected play systems
are well developed within their niche but remain partially isolated from mainstream toy research (Crisman,
1996). As digitalization of play accelerates, this gap indicates an opportunity for stronger interdisciplinary
integration. Themes related to toy manufacture and design and development occupy an intermediate
position, reflecting their operational importance and consistent research presence. Despite high publication
frequency, their moderate centrality suggests that these themes are often addressed from applied or industry-
specific perspectives, with limited theoretical cross-linkages to cognitive, technological, or sustainability-
driven discussions. Clusters such as computational thinking, learning algorithms, and nanocomposites
appear as specialized or emerging areas. Their relatively low connectivity indicates that these themes are still
consolidating their role within toy research, often appearing in experimental or exploratory studies. The
developing countries cluster similarly reflects limited integration, highlighting a contextual research gap
despite its relevance for inclusive innovation and market expansion (Arvinder, 2000); Finally, supply chain
management emerges as a marginal yet internally coherent theme, underscoring its relevance in production
and logistics while revealing limited engagement with broader toy innovation and policy discussions.
Collectively, the findings suggest a field anchored in child-focused and product-based research, with growing
but still fragmented contributions from digital, material, and systemic perspectives.
The evolving research landscape offers valuable insights into how priorities have shifted over time. The
changes in uses of toys has been found differently at different places. Early on, there was a clear focus on
competitiveness of toys between Indian toys and chines toys (Arvinder, 2000); Robotic toy hands (Crisman,
1996); Transformation of indigenous kondapalli toys to global level toys handcrafted material was discussed
by Girija Kumari, 2004 (Girija Kuamri, 2004) environmental concerns, particularly in 2019-2020, reflecting
a global push for sustainability. By 2021, attention began to pivot toward market-driven studies, emphasizing
consumer behavior and economic factors. More recently, in 2022, the spotlight has shifted toward advanced
technology applications, highlighting the growing influence of tech-driven solutions in business,
sustainability, and social sciences. This evolution reflects a broader global trend where innovation and
technology are increasingly seen as key drivers for addressing complex societal challenges. For researchers,
policymakers, and businesses, understanding these shifts is crucial for identifying emerging opportunities,
fostering collaborations, and developing innovative solutions tailored to real-world needs.
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Image 1: Thematic Analysis
Source: Thematic Analysis, Biblioshiny
RQ 3: Government policy initiatives
In this section, researchers attempt to list the various factors that have been frequently studied in various toy
research. It can be seen that the majority of practitioners have studied factors such as safety regulations,
government policies for the development of the toy industry in India, Chinese imports and the threat to the
Indian toy industry, indigenous toys and heritage, Indian domestic market opportunities, and technology
advancement. Recent policy initiatives have positioned the Indian toy sector as a strategic industry within the
country’s broader agenda of self-reliant and innovation-driven growth. Programmes such as, Toycathon, the
National Action Plan for Toys, and targeted measures under the self-reliance framework have been designed
to strengthen domestic manufacturing capacity, promote design-led innovation, and reduce dependence on
imports. Policy support has also focused on sustainability through the promotion of eco-friendly toys,
collaborative industry platforms such as national toy fairs, and tariff interventions to encourage indigenous
production. Together, these initiatives reflect a coordinated policy effort to nurture entrepreneurship, enhance
skill development, and build a competitive manufacturing ecosystem supported by institutional and regulatory
frameworks (Government of India, 2023; Ministry of Education India, 2022). Table 10 exhibits various
factors studied by previous researchers.
Table 10: Factors studied in Indian Toy Industry
Sr. No.
Factor for consideration
Authors
1.
Safety Regulations, Quality Control
The gazette of India, Quality Control in
Toys DPIIT, Suresh Gupta and Prateek
Gupta
2.
Government Policies for development of toy
industry
Savills, Leaping forward, Favorable
government policies to make in India a toy
manufacturing hub
3.
Chinese Imports, threat to Indian toy
industry, high import duty on toy making
raw materials
ASSOCHAM, 2013; ASSOCHAM, 2016;
NSIC, 2015, Sridhar Krishna, 2000;
Sunny, K P, Sund Rajesh, 2014; Bhatia
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madhur, 2016, Sadiya Siddiqui & Asma
farooque
4.
Indigenous Toys, Culture, and heritage
DPIIT, 2020; Sunanda Yadav, 2020;
Ministry of Tourism, Sudarshan Khanna,
1987; Natasha Rego, 2021; Bhagwan
Nagpal, Lalana Bhatina & Supradip Das,
2019; Sunny & Sund, 2014, (F, 2016)
5.
Indian domestic market opportunities
KPMG, 2021, Khyati Malhotra, 2021;
Uma Shankar yadav & Ravindra Tripathi.
2022
6.
Technology Advancement, Productivity and
Competitiveness of Toy Manufacturing
Sector In India
UN Industrial Development Organization
Industrial Promotion and Technology
Branch, 2004; Economic Services Group
National Productivity Council, 2017
Source: Author’s own Compilation
Safety Regulations- The safety of toys is a critical public health and consumer protection concern, particularly
in a country like India, where toys are used by children across diverse age groups and socio-economic settings.
In this context, the Bureau of Indian Standards (BIS) has established key regulatory benchmarks—most
notably IS 9873 and IS 15644—to ensure that toys available in the market meet essential safety requirements.
IS 9873, which is aligned with international toy safety frameworks, focuses on mechanical, physical, and
chemical safety aspects such as choking hazards, sharp edges, small detachable components, flammability,
and the presence of harmful substances (BIS, 2020). These provisions are especially important for protecting
younger children, who are more vulnerable to injuries arising from unsafe toy design or poor material quality.
Complementing this, IS 15644 specifically addresses the safety of electric and battery-operated toys, setting
standards related to insulation, overheating, short circuits, and protection against electric shock. With the
increasing penetration of electronic, smart, and interactive toys in the Indian market, this standard has gained
renewed relevance. Together, IS 9873 and IS 15644 form a comprehensive safety framework that balances
innovation in toy design with child welfare considerations (Nanda, 2020). Beyond minimizing physical and
electrical risks, these standards also promote responsible manufacturing practices, quality control, and material
transparency. Their enforcement has broader implications, including strengthening parental trust, enhancing
consumer confidence, and improving the credibility of Indian toy manufacturers in domestic and export
markets. Moreover, in the context of sustainable and eco-friendly toys, BIS standards provide a foundational
safety baseline against which alternative materials and green design innovations can be evaluated. Thus, these
standards play a pivotal role not only in ensuring toy safety but also in supporting the long-term development
of a safe, competitive, and responsible toy ecosystem in India. Safety regulations and quality control in Indian
toys are recognized as a prime concern by researchers. Safety and toxicity have been studied in various
research reports and by practitioners. The Bureau of Indian Standards (BIS), an Indian regulatory agency, has
specified toy safety regulations in IS 9873 (Part 1 to Part 4, 7, and 9) and IS 15644:2006 (Nanda, 2020). The
Indian safety standard is detailed in Table 11
Table 11: Safety Standard for Indian Toys
Good of Articles
Indian Standard
Title of Indian Standard
1
2
3
TOYS
IS 9873 (Part 1): 2018
Safety of Toys part 1: Safety
aspects related to mechanical
and physical properties
IS 9873(Part 2): 2017
Safety of toys Part 2:
Flammability
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IS 9873(Part 3): 2017
Safety requirements for toys,
Part 3: Migration of certain
elements
IS 9873(Part 4): 2017
Safety of toys part 4 swings,
slides and similar activity toys
for indoor and outdoor family
domestic use
IS 9873(Part 7): 2017
Safety of toys part 7
requirements and test methods
for finger paints.
IS 9873(Part 9): 2017
Safety of toys part 9 certain
phthalate esters in toys and
children’s products
IS 15644: 2006
Safety of electric toys.
Source: Adopted from The Gazette of India, G-DL-E 26022020-216415, Ministry of Commerce and Industry
DPIIT, 25-02-2020
Previous researchers have examined the levels of metal content in toys and their effects on children's health.
Elevated levels of lead (Pb), zinc (Zn), and toxicity have been linked to adverse effects, including serious
medical issues such as cancer (Somsiri Decharat, 2013). The levels of cadmium (Cd), nickel (Ni), and arsenic
(As) in PVC toys have been discussed by Rangaswami et al. (Jananee Rangaswami, 2018; Abhay Kumar,
2007). Johnson et al. studied the presence of phthalates in 24 toys and childcare items from China, India,
Taiwan, and other countries. Results showed a higher concentration of phthalates in soft toys compared to
hard toys. Children under 3 years old, who are more likely to suck or chew soft toys, may be directly affected
regarding their health (Sapana Johnson, 2011). The impact of toys in packaged foods on obesity was discussed
by Dario et al. in 2014; the study found no clear link between toys and food consumption (Dario Gregori,
2014).
Government Policies for the Development of the Indian Toy Industry - Over the past few years, the Indian
toy sector has emerged as a priority area within the government’s broader vision of innovation-led and self-
reliant industrial growth. Initiatives such as Toycathon and the Aatma Nirbhar Bharat programme reflect a
deliberate effort to reposition toy manufacturing from an import-dependent activity to a domestically driven
and innovation-oriented sector.
Toycathon, in particular, has played a catalytic role by encouraging students, designers, and young
entrepreneurs to engage in theme-based toy development, thereby strengthening design capabilities and
fostering startup culture within the industry; its long-term effectiveness depends on commercialization
pathways, funding continuity, and integration with manufacturing clusters. Atma Nirbhar Bharat seeks to
reduce import dependence through tariff reforms, localization incentives, and manufacturing support, which
may enhance domestic production competitiveness but can also create short-term adjustment pressures for
small firms lacking technological capability.
Complementing this, national-level policy frameworks such as the National Action Plan for Toys provide
structured direction through targeted objectives aimed at strengthening manufacturing capacity, skill
development, and market access.
These policies should be interpreted not merely as promotional initiatives but as institutional mechanisms
shaping industrial restructuring, innovation diffusion, and entrepreneurial capacity within the evolving toy
ecosystem. Table 12 presents an overview of these key initiatives and policy measures that collectively shape
the evolving toy ecosystem in India (Yadav et al., 2022; Day & Gupta, 2021).”
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Table 12: Toy Initiatives and Government Support-
S.No.
Initiative/Scheme
Objective
State Government/Central
Government/Ministry
1.
Toycathon 2021-2022
To come up with new toy startups
in various themes under the
Toycathon. Theme based toy
development, by students,
faculties, and professionals
Institution’s Innovation
Council, MHRD, MoE
2.
National Action Plan for
Toys
To formulate action plan for
development of toys in the
country, 21 point agenda for toy
development.
Central Government
3.
Identifying as key sector
under Aatma Nirbhar
Bharat
Development of Toy sector as
self-resilient sector, to build toys
from the local resources,
Atma Nirbar Bharat
4.
Eco-friendly toys
To make India hub for eco-
friendly toys
Atma Nirbar Bharat
5.
India’s First Toy Fair
To come up with all memebrs of
toy community manufacturers,
suppliers, entrepreneurs, startups,
MEMEs initiatives
Central Government
6.
Increase in Import duty
on toys
To motivate Indian toy
manufactures to create indigenous
toys
Budget Announcement,
2023 (Govt hikes import
duty on toys to 70% , 2023)
Source: Toy Initiatives by Government of India, Budget Announcement, 2023, Institution’s Innovation
Council, MHRD, MoE
The above-mentioned initiatives outlined in Table 12 demonstrate a coordinated approach toward building a
resilient and sustainable toy industry. Policies promoting eco-friendly toys and the strategic increase in import
duties have encouraged manufacturers to explore locally sourced materials, traditional craftsmanship, and
environmentally responsible production methods.
At the same time, platforms such as India’s Toy Fair have facilitated collaboration among manufacturers,
suppliers, MSMEs, and startups, creating opportunities for knowledge exchange and market expansion. These
interventions go beyond short-term protectionist measures and instead support long-term innovation,
sustainability, and localization.
By aligning creativity, policy support, and indigenous manufacturing, the government’s initiatives are
gradually transforming the toy sector into a competitive, socially responsible, and globally relevant industry
rooted in local innovation.
RQ 4: Findings concerning Research Questions for the analysis of the research
FINDINGS, DISCUSSIONS, AND FUTURE SCOPE
Historical Evolution of Toy Research
The intellectual development of toy-related research reflects a gradual yet distinct transformation in scholarly
priorities. Early academic work primarily concentrated on production processes, material innovation, and
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competitive industrial dynamics. Researchers focused on manufacturing techniques, mechanical toy design,
and the transformation of traditional handcrafted toys into standardized commercial products. This period
largely treated toys as physical commodities, emphasizing functionality, durability, and cost efficiency rather
than their developmental or social significance.
By the late 2010s, the research focus began shifting toward environmental sustainability and product safety.
Growing global awareness of ecological risks and regulatory requirements encouraged studies on eco-friendly
materials, non-toxic components, and sustainable manufacturing processes. Scholars increasingly examined
biodegradable plastics, composite materials, and life-cycle assessment of toy production, reflecting broader
concerns about environmental responsibility and consumer safety (Browne et al., 2011; Steenis et al., 2017).
Around 2021, the research landscape expanded further to incorporate market-oriented and human-centered
perspectives. Studies began to explore consumer preferences, educational value, and the developmental
implications of play.
More recently, technological integration has emerged as a defining research frontier. Contemporary studies
examine artificial intelligence, smart toys, robotics, and digitally mediated play environments. These
developments signal a conceptual shift toward interactive and adaptive play systems that merge entertainment,
education, and digital connectivity (Nambisan et al., 2019). Overall, the historical evolution of toy research
demonstrates a clear progression from production-centered analysis to human-centered and technology-driven
inquiry.
Clustered Themes in Toy Research
Thematic clustering reveals a structured yet evolving intellectual architecture within toy research. Highly
central and dense clusters represent mature knowledge domains with strong conceptual integration, whereas
peripheral clusters reflect emerging or specialized research areas with limited connectivity.
At the core of the research landscape lies the children’s toys cluster, which consistently anchors scholarly
attention. This domain emphasizes developmental outcomes, learning processes, emotional engagement, and
child well-being. Its prominence reflects the recognition that toys function not merely as commodities but as
instruments of cognitive and social development (Goldstein, 2012).
Supporting this central domain is the broader toys cluster, representing traditional product-based research
focused on design characteristics, materials, and usability. While foundational, this cluster is increasingly
complemented by technology-oriented themes. Among these, the Internet of Things (IoT) forms a specialized
yet conceptually advanced cluster centered on connected play environments, data-enabled interaction, and
intelligent feedback systems (Marsh et al., 2018).
Intermediate clusters, such as toy manufacture and design and development, represent applied research
domains that bridge production and innovation. These areas address engineering optimization, product testing,
and design methodologies. Meanwhile, emerging themes—including computational thinking, learning
algorithms, and nanocomposite materials—remain relatively fragmented, indicating early-stage exploration
with limited cross-domain integration. Supply chain management appears as a marginal but internally coherent
area, highlighting logistics, production resilience, and distribution efficiency as underexplored dimensions of
the field.
Collectively, these clusters reveal a research domain anchored in child-centered and product-oriented inquiry,
while gradually expanding toward digital integration and systemic analysis.
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Emerging Research Trends
Temporal analysis indicates notable shifts in thematic emphasis over time. Earlier research was dominated by
environmental and material concerns, particularly the impact of plastics, chemical safety, and sustainability in
toy production (Steenis et al., 2017). These studies reflected growing public awareness of environmental risk
and regulatory oversight.
Subsequent research increasingly examined market behavior and developmental outcomes, reflecting rising
interest in educational value, consumer decision-making, and play-based learning. Scholars explored how toys
influence cognitive development, creativity, and social interaction, positioning play as a structured learning
process rather than a purely recreational activity (Goldstein, 2012).
The most recent wave of research is strongly technology-driven. Smart toys equipped with sensors, artificial
intelligence, and adaptive interfaces now represent a major emerging research frontier. These technologies
enable personalized interaction, real-time feedback, and immersive digital engagement, illustrating the
convergence of play, education, and technological innovation (Nambisan et al., 2019).This temporal
progression reflects a broader transition from material and environmental concerns toward intelligent and
interactive toy ecosystems.
Broader Conceptual Patterns: Principal Component Analysis
To identify higher-order relationships among thematic domains, Principal Component Analysis (PCA) was
employed. The results reveal two dominant conceptual orientations shaping contemporary toy research. The
first dimension captures technological advancement, encompassing artificial intelligence, robotic toys, and
automated toy-human interaction. This dimension reflects the growing importance of digital capability and
technological sophistication in toy design and functionality.
The second dimension represents human and social outcomes, including learning, behavioral development,
health, and emotional engagement. This orientation emphasizes the role of toys in shaping developmental
processes and social interaction.
Together, these dimensions indicate that toy research is structured around the interaction between
technological innovation and human-centered outcomes. Rather than replacing traditional developmental
concerns, digital advancements coexist with educational and social objectives. This dual structure reflects a
hybrid research paradigm in which technological capability and developmental value are mutually reinforcing.
The Indian Context
These global research patterns are increasingly reflected within the toy industry of India. Traditional
priorities—such as safety, cultural relevance, and artisanal craftsmanship—remain central to the sector.
However, policy-driven initiatives are reshaping industry structure by promoting domestic manufacturing,
startup participation, and technological innovation.
Government programs supporting indigenous production, innovation clusters, and entrepreneurship are
fostering new growth opportunities. Higher levels of institutional support and industry collaboration are
strengthening the transition from traditional craft-based production toward organized manufacturing systems
(KPMG, 2022).
Simultaneously, growing emphasis on digital integration and global competitiveness is transforming the
sector’s strategic orientation. The convergence of policy support, innovation ecosystems, and domestic
production capacity indicates a structural shift toward a knowledge-driven and technologically integrated toy
industry.
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Multi-layer Toy Framework
The findings of this study suggest that the toy sector can no longer be understood simply as a manufacturing
industry focused on product creation. Instead, it is better viewed as a dynamic system shaped by the interaction
of technology, child development, sustainability concerns, and industrial structures.
Over time, research attention has gradually shifted from production and materials toward human experience,
digital innovation, and policy-driven transformation. This evolution reflects a broader movement from viewing
toys as physical objects to understanding them as interactive tools that influence learning, behaviour, and
social development.
Layer 1: Toy Development
At the Micro level of this framework lies the cognitive development and human-centric role of toys. Research
consistently highlights their importance in shaping cognitive skills, emotional engagement, and social
interaction among children (piaget, 2013). This human-centred dimension remains the foundation of toy
research, even as new technologies transform the way toys function and interact with users.
Layer 2: Educational Skill Enhancement
Layer 3: Technology Integration
Alongside developmental perspectives, technological innovation has become increasingly central. The
growing presence of smart and connected toys indicates that play is becoming digitally mediated. Sensors,
artificial intelligence, and interactive features are reshaping how children engage with toys, making them more
responsive and personalized. This technological shift is not replacing traditional developmental concerns but
expanding them, creating new forms of learning and interaction.
Layer 4: Sustainable Industrial Production
Industrial and supply chain structures provide the operational foundation that supports innovation.
Manufacturing systems, logistics networks, and production efficiency influence how new ideas are
implemented and scaled. At the same time, policy support and entrepreneurial ecosystems shape the broader
environment in which the industry operates.
Government initiatives, startup culture, and institutional support mechanisms play a key role in enabling
innovation and strengthening domestic production capacity. Sustainability forms another important layer of
the framework. Rising awareness of environmental impact and material safety has pushed manufacturers and
researchers to focus on eco-friendly design, safe materials, and responsible production. Sustainability is
therefore no longer a peripheral issue; it is becoming integral to product development and industry strategy.
Layer 5: Entrepreneurial Ecosystem
Taken together, these elements form an interconnected system in which technological capability,
developmental value, environmental responsibility, and industrial organization evolve together.
Toy research is therefore best understood as a socio-technical field where human needs and technological
possibilities continuously influence one another. For understanding the industry at various levels, a Multi-
Layered Toy framework is given in Figure 2.
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Figure 2: Multi-layered Toy Framework
Source: Author’s Own Compilation
Implications for Future Research
The evolving research landscape points to several important directions for future inquiry. First, emerging
technological domains remain fragmented and require stronger interdisciplinary integration with
developmental psychology, education, and behavioural science. Second, production systems and supply chain
dynamics remain underexplored despite their strategic importance for scalability and resilience.
Third, developing country contexts require deeper investigation to understand inclusive innovation, market
expansion, and policy effectiveness. Comparative and longitudinal studies would provide valuable insight into
how regional ecosystems shape industry transformation.
Future research should therefore prioritize the integration of technological innovation with developmental
outcomes, examine entrepreneurial and institutional support systems, and explore sustainability within
scalable production frameworks. Such efforts will contribute to a more comprehensive understanding of the
evolving toy industry and its broader socio-economic significance.
In the context of the Indian toy industry, this broader evolution is mirrored in several pivotal dimensions. Toy
safety, consumer perceptions, and cultural significance remain foundational concerns, but there is also a
growing emphasis on increasing the global visibility of Indian toys and positioning India as a thriving hub in
the global toy market. Government support has played a significant role in this transformation, fostering
entrepreneurship and encouraging startups to venture into the toy sector. Exploring how entrepreneurial
perceptions and attitudes shape these ventures offers valuable insights into the dynamics of a rapidly growing
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industry. With startups at the heart of this ecosystem, innovation is poised to drive sustained growth and create
new opportunities for businesses and consumers alike.
CONCLUSION
Looking ahead, the future of research in the Indian toy industry holds immense promise. Beyond refining toy
design, safety standards, and cultural representation, there is an urgent need to delve deeper into the
entrepreneurial landscape understanding the motivations, challenges, and opportunities faced by startups.
Additionally, the integration of advanced technology, such as smart toys and sustainable materials, is expected
to redefine how toys are designed, manufactured, and marketed. As the industry continues to evolve, future
research should also explore the socio-economic impact of these changes, examining how innovation can
support local communities and preserve cultural heritage. Ultimately, the Indian toy industry stands at the
intersection of tradition and modernity, offering a vibrant space where creativity, entrepreneurship, and
technology can come together to shape a dynamic and globally competitive future
The toy industry is no longer just about play—it’s become a serious area of study. Researchers are exploring
how toys can help children learn, how they can be environmentally friendly, and how to use the latest tech like
AI. There’s a clear shift from traditional toys to smart, educational, and inclusive toys, opening exciting new
paths for educators, developers, and policymakers.
Statements & Declarations
Declaration of generative AI and AI-assisted technologies in the writing process
During the preparation of this work the author(s) used [Chat GPT, Google Gemini] to refine the language of
the article. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s)
full responsibility for the content of the publication
“The authors have no relevant financial or non-financial interests to disclose.”
Author’s Contribution
“All authors contributed to the study conception and design. Material preparation, data collection and analysis
were performed by [A.J], Expert review was done by Dr. P.C. The first draft of the manuscript was written by
[A.J] and all authors commented on previous versions of the manuscript. All authors read and approved the
final manuscript.”
Financial Statement
“The authors declare that no funds, grants, or other support were received during the preparation of this
manuscript.”
Responses to Editor Decision Minor- Review Date 08/07/2025
Data Availability Statement-
The datasets generated during and/or analysed during the current study are available in the DATAVERSE
repository, https://doi.org/10.7910/DVN/M3O97Q, Harvard Dataverse, V1,
UNF:6:tpaBjJgqN8p9W3fKyzVn3g== [fileUNF]. This data set include 291 research papers from SCOPUS
database, I have uploaded the final data used for the study.
Ethical Approval
"This article does not contain any studies with human participants performed by any of the authors"
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INFORMED CONSENT
1. "This article does not contain any studies with human participants performed by any of the authors."
2. Arvinder, S. (2000). China and the global economic slowdown. China Report, 38(3).
https://doi.org/10.1177/000944550203800303
3. Bhatiya, M. (2016). Dragon vs. elephant: A comparative study of competitiveness of the toy industry
of China and India. ZENITH International Journal of Business Economics & Research, 5(11).
4. Bhuwandee, R. S. (2016). Indian toy industry: Market analysis and recommendations. IIMB
Management Review.
5. Directorate General of Foreign Trade, Ministry of Commerce and Industry. (2017). Amendment in
policy condition No. 2 (iii) to chapter 95 of ITC (HS) 2017 Schedule 1 (Import policy). Government
of India.
6. Economic Services Group, National Productivity Council. (2017). A research study on productivity
and competitiveness of the toy manufacturing sector in India. National Productivity Council.
7. Hirshfelder, P. F. A. (1999). Toys with Indian imagery. In American stereotypes in the world of
children (2nd ed., pp. 139–154). Scarecrow Press.
8. India Brand Equity Foundation. (n.d.). About Indian toys. Retrieved May 15, 2022, from
https://www.ibef.org/indian-toys
9. ILO Consulting. (2021, May 30). An overview of Indian toy industry.
https://www.iloconsulting.in/knowledge-center/an-overview-of-indian-toys-industry
10. Kumar, A. (2007). Lead and cadmium in soft plastic toys. Current Science, 93(6), 818–822.
11. Sandberg, A., & [Author initials needed], V. T. (2008). Dimensions of childhood play and toys. Asia-
Pacific Journal of Teacher Education.
12. S. J. (2020). Parents responses to toys representing physical impairment. Equality, Diversity and
Inclusion, 949–966. Verify authors.
13. India Education Diary. (2021, February 22). Big on toys: Rajasthan government plans for the India
Toy Fair.
https://indiaeducationdiary.in/big-on-toys-rajasthan-government-plans-for-the-india-toy-
fair/
14. Brandl, M. (2011). Children’s play and military toys today. Psychological Science and Education, (2),
26–29.
15. Bulsara, H. K., & [Author surname needed], S. G. (2009). Women entrepreneurship in India: A case
study of Phoenix Soft Toys Creation. IIMA Institutional Repository, 111–120.
16. ASSOCHAM. (2013, August 8). Chinese toys trigger attrition in Indian SMEs: The Indian toy industry
fighting for its survival. http://www.assocham.org/newsdetail.php?id=4125
17. ASSOCHAM. (2021, May 30). Chinese toys trigger attrition in Indian SMEs: The Indian toy industry
fighting for its survival.
18. Crisman, J. D. (1996). Graspar: A flexible, easily controllable robotic hand. IEEE Robotics and
Automation Magazine, 32–38.
19. Kwong, C. W., & [Author surname needed], S. M. (2021). Evaluation of the tactics for small- and
medium-sized toy factories in China to deal with European and US toy safety requirements.
International Journal of Engineering Business Management.
20. Gregori, D., et al. (2014). Food packaged with toys: An investigation of potential obesogenic effects
in Indian children. Indian Journal of Pediatrics, 81(1), 30–38.
21. Merriam-Webster. (n.d.). Toy. In Merriam-Webster dictionary.
https://www.merriam-
webster.com/dictionary/toy
22. Teik, D. O. L., & [Author initials needed], K. K. (2014). An exploratory study of the factors influencing
Generation Y’s purchasing intention within the toy industry in Malaysia. Academy of World Business,
Marketing and Management Development Conference Proceedings, 6(1), 176–188.
23. Dhar, S. (2020, September 2). India’s toy industry can’t meet domestic demand expectation. The Times
of India.
https://timesofindia.indiatimes.com/india/indias-toy-industry-cant-meet-domestic-demand-
expectation/articleshow/77884539.cms
Page 1173
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24. Business Standard. (2016, August 19). Differential duty structure a big challenge for toy industry:
ASSOCHAM.
https://www.business-standard.com/article/news-cm/differential-duty-structure-a-big-
challenge-for-toy-industry-assocham-116081800234_1.html
25. Department for Promotion of Industry and Internal Trade. (2020). DPIIT organises virtual conference
on the National Action Plan for Toys (Newsletter No. 16).
26. Wood, E., Desmarais, S., & Gugula, S. (2002). The impact of parenting experience on gender
stereotyped toy play of children. Sex Roles, 47(1–2), 39–49.
27. Singh, F. (2016). Wooden toys of Varanasi: Weakly developed isolated sector and shortages of income
and employment opportunities. Arts and Social Sciences Journal, 7(3), 1–3.
28. The Economic Times. (2021, February 26). Foxconn of toy world to set up India’s first toy cluster in
Karnataka. https://economictimes.indiatimes.com/news/politics-and-nation/foxconn-of-toy-world-to-
set-up-indias-first-toy-cluster-in-karnataka/articleshow/81230592.cms
29. Gálvez Martín, M. E. (1997). How to teach social science with toys. National Council for the Social
Studies, Ohio State University.
30. George, A. (2013). The study of consumer behavior in the toys market of Kerala (Doctoral
dissertation).
31. Dawson, G., & Galpert, L. (2008). Mothersuse of imitative play for facilitating social responsiveness
and toy play in young autistic children. Development and Psychopathology, 20(2).
32. Kumari, G., & Jayasree, K. (2004). Design development from Kondapalli toys. Textile Trends, 46(10),
23–27.
33. The Economic Times. (2023, February 1). Government hikes import duty on toys to 70%.
34. Ministry of Commerce and Industry. (2024). Government creates conducive manufacturing ecosystem
for toy industry.
https://pib.gov.in/PressReleasePage.aspx?PRID=2002099
35. Todd, B. K., Barry, J. A., & Thommessen, S. A. O. (2020). How large are gender differences in toy
preferences? A systematic review and meta-analysis. Archives of Sexual Behavior.
36. India Brand Equity Foundation. (2020). India’s toy story. https://www.ibef.org
37. Jain, P., & Singh, T. (2023). Teaching toy car to self-drive in a game environment using reinforcement
learning. In Proceedings of the 5th International Conference on Advances in Computing,
Communication Control and Networking (pp. 948–956). IEEE.
https://doi.org/10.1109/GCAT59970.2023.10353463
38. Rangaswami, J., Kumar, T., & [Author surname needed], K. (2018). A comparative life cycle
assessment of locally oriented small-scale toy industries: Traditional Channapatna toys vs. low-cost
PVC toys made in China. Procedia CIRP, 487–492.
39. Gogan, J., & O’Leary, M. (2010). Aiming at a moving target: IT alignment in toy companies. In
Proceedings of the 18th European Conference on Information Systems (pp. 1–13).
40. Jayan, A. P. (2018). A theoretical paper on research studies about the conventional toy industry.
Research Journal of Management Sciences, 7(2), 6–9.
41. Goldbart, J., & Marshall, S. (2010). Play and toys in West Bengal: Self-reports of parents of children
with cerebral palsy. International Journal of Disability, Development and Education, 47(4), 337–353.
42. Plessen, C. F. (2020). Humor styles and personality: A systematic review and meta-analysis on the
relations between humor styles and the Big Five personality traits. Personality and Individual
Differences, 154.
43. Reddy, S. (2021). Leaping forward: Favourable government policies to make India a toy manufacturing
hub. Savills.
44. Rego, N. (2021, April 16). Clusters have wonderful and rare skills, says toy designer Natasha Khanna.
.
45. Palmatier, R. W., Houston, M. B., & Hulland, J. (2018). Review articles: Purpose, process, and
structure. Journal of the Academy of Marketing Science, 1–5.
46. The Hindu. (2021, January 29). A look at the Indian toy industry as the National Toy Fair is set to
begin next month.
47. Johnson, S., Nair, S., & Rao, S. (2011). Phthalates in toys available in Indian market. Bulletin of
Environmental Contamination and Toxicology.
48. Siddiqui, S., & Farooque, A. (2019). Study of Indo-China trade with special reference to Chinese toys
in Indian market. International Journal of Research and Analytical Reviews, 6(1), i51–i58.
Page 1174
www.rsisinternational.org
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49. Seiter, E. (2006). Toys are us: Marketing to children and parents. Cultural Studies. Add
volume/pages.
50. Shaheen, S. (2015). Cost optimization in electronic toys manufacturing and marketing: A viable
alternative for women entrepreneurship (Doctoral thesis). Aligarh Muslim University.
51. Decharat, S. (2013). Assessment of lead in some children plastic toys. KKU Research Journal, 18(6).
52. Rana, S., & Sharma, K. (2016). A review on the state of methodological trends in international
marketing literature. Journal of Global Business Advancement, 9(1), 90–107.
53. Misra, S., & Gupta, P. (2015). Toys and safety regulations. Consumer Education Monograph Series,
18.
54. Inc42. (2018, March 15). The 26 Rajasthan-based startups to look out for.
https://inc42.com/features/the-26-rajasthan-based-startups-to-look-out-for/
55. The India Toy Fair. (2021). https://theindiatoyfair.in/
56. Ministry of Tourism. (2020). Toy story: Promotion of indigenous toys of India.
57. Toycathon. (2021).
https://toycathon.mic.gov.in/
58. Dey, V., & Gupta, Y. (2021). Toyathon: Steps towards creating innovative Indian toy industry
ecosystem. Indian Journal of Economics and Business, 20(3), 1505–1512.
59. Department for Promotion of Industry and Internal Trade. (2020). Virtual conference on the action
plan for toys.
60. Yadav, C. S. (2020). Incredible handmade in India toys on the brink of extinction. International Journal
of Disaster Recovery and Business Continuity, 11(1), 561–571.
Conflict of Interest
There is no conflict of interest in the current research paper in any form of financial, personal, academics.
There are two beneficial organizations in the paper
1. Author’s scholar institute
2. Author’s Academic institute
Financial Statement
Author has not received any financial funding from any agency.