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    India AI in Computer Vision Market

    ID: MRFR/ICT/57039-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    India AI in Computer Vision Market Research Report By Application (Healthcare, Automotive, Retail, Manufacturing, Security), By Technology (Deep Learning, Machine Learning, Image Processing, Pattern Recognition), By Component (Hardware, Software, Services) and By End Use (Consumer Electronics, Industrial, Aerospace and Defense, Transportation)- Forecast to 2035

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    Table of Contents

    India AI in Computer Vision Market Summary

    The India AI in Computer Vision market is projected to experience substantial growth from 739.7 USD Million in 2024 to 3850 USD Million by 2035.

    Key Market Trends & Highlights

    India AI in Computer Vision Key Trends and Highlights

    • The market is expected to grow at a compound annual growth rate (CAGR) of 16.18% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 3850 USD Million, indicating a robust expansion.
    • In 2024, the market is valued at 739.7 USD Million, reflecting the current investment landscape in AI technologies.
    • Growing adoption of AI in various sectors due to increasing demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 739.7 (USD Million)
    2035 Market Size 3850 (USD Million)
    CAGR (2025-2035) 16.18%

    Major Players

    Ganit, NVIDIA, Qualcomm, Happiest Minds, Infosys, CureMetrix, Fractal Analytics, Sigtuple, Niramai, Qure.ai, Robolab Technologies, Wipro, Tata Consultancy Services

    India AI in Computer Vision Market Trends

    The India AI-in-computer-vision market is gaining strong momentum, fueled by growing technology spending and wider use across a range of industries. National initiatives such as the AI Strategy and the Digital India program seek to upgrade infrastructure and spark innovation, acting as a major catalyst for growth. These policies urge sectors, including healthcare, retail, farming, and automotive, to embed AI tools, yielding noticeable gains in efficiency and productivity. As a result, firms now see vast opportunities in computer-vision applications such as facial recognition, self-driving cars, and factory quality checks.

    Indian technology start-ups are eagerly seizing this momentum, crafting home-grown products that address the unique demands of the local market. At the same time, interest in applying artificial intelligence to smart-city initiatives is swelling, creating a significant appetite for computer-vision tools that manage traffic, monitor public spaces, and enhance safety. 

    This enthusiasm is mirrored in universities and research centers across the country, where teams are ramping up development and yielding fresh algorithms, and machine-learning models fine-tuned for visual tasks. Increasingly, scholars and corporate engineers are working side by side, sharing insights that bridge theory and real-world applications.

    India AI in Computer Vision Market Drivers

    Market Segment Insights

    India AI in Computer Vision Market Segment Insights

    India AI in Computer Vision Market Segment Insights

    AI in Computer Vision Market Application Insights

    AI in Computer Vision Market Application Insights

    The India AI in Computer Vision Market, with significant potential, is largely categorized by its diverse applications across various sectors. The healthcare segment stands out due to the increasing adoption of AI technologies for diagnostic imaging, patient monitoring, and predictive analytics, allowing for efficiencies in clinical workflows and better patient outcomes. As India's healthcare infrastructure expands, the application of AI in medical imaging and robotics presents opportunities for innovations that can handle the growing patient base effectively. In the automotive sector, AI in computer vision facilitates advancements like autonomous driving technology, enhanced safety features, and vehicle surveillance systems. 

    This is crucial in a rapidly urbanizing India where traffic management and road safety are becoming pressing issues. The government initiatives aimed at promoting smart transportation solutions are further fueling this trend, making automotive applications not only significant but increasing in sophistication.The retail sector experiences transformative changes through AI-driven visual analytics, enabling personalized shopping experiences, inventory management, and fraud detection.

    As e-commerce continues to thrive in India, the integration of computer vision can optimize customer interactions and streamline operational processes, thus shaping a new retail landscape that caters to evolving consumer behavior.In manufacturing, AI applications improve quality control through real-time monitoring and predictive maintenance, which contribute to increased efficiency and reduced downtime. 

    The 'Make in India' initiative by the government encourages this transformation as manufacturers seek to leverage technology for competitive advantage. Smart factories and automation represent a growing trend that can redefine operational benchmarks.Lastly, the security applications of AI in computer vision hold significant importance, particularly in enhancing surveillance and threat detection capabilities. As urbanization rises, the need for robust security measures has escalated, allowing for the implementation of AI-driven systems that ensure safety in public and private domains. Such applications reflect the broader concerns of safety and security in an increasingly complex environment.

    AI in Computer Vision Market Technology Insights

    AI in Computer Vision Market Technology Insights

    The Technology segment of the India AI in Computer Vision Market is witnessing robust growth, fueled by the increasing demand for automation and improved image processing capabilities across various industries. Deep Learning is particularly significant as it facilitates advanced feature extraction and has become essential for applications ranging from facial recognition to autonomous driving.

    Machine Learning complements this by providing the foundational algorithms that enable systems to learn from data, making it crucial for tasks like object detection and classification.Image Processing, which enhances and analyzes images to extract useful information, plays a vital role in sectors such as healthcare and security, allowing for more accurate diagnostics and surveillance. 

    Pattern Recognition stands out by enabling systems to recognize and interpret patterns in visual data, which is invaluable in numerous applications, from industrial automation to customer behavior analysis. As industries in India increasingly adopt these technologies, the overall market is poised for significant advancements, driven by continuous innovation and the demand for smarter, more efficient solutions.The integration of these technologies into everyday applications highlights their importance and portrays a dynamic landscape for the India AI in Computer Vision Market.

    AI in Computer Vision Market Component Insights

    AI in Computer Vision Market Component Insights

    The India AI in Computer Vision Market is increasingly defined by its Component segment, which comprises Hardware, Software, and Services, each playing a crucial role in the market's dynamic landscape. Hardware serves as the backbone, with advancements in imaging sensors and processing units significantly elevating performance and efficiency in various applications like surveillance, automation, and healthcare diagnostics. Meanwhile, Software solutions, including deep learning frameworks and machine learning algorithms, are becoming essential for developing applications that interpret visual data reliably.

    The Services component, which encompasses consulting and system integration, ensures that businesses leverage AI capabilities effectively and remain competitive. Given the Indian government's push for digital transformation and smart city initiatives, companies are adopting these components to enhance operational productivity and decision-making. The rapid adoption of AI technologies across various industries, including manufacturing, retail, and automotive, signals promising growth potential within this segment, reflecting the growing importance of AI in advancing traditional sectors.

    AI in Computer Vision Market End Use Insights

    AI in Computer Vision Market End Use Insights

    The India AI in Computer Vision Market has a diverse range of applications across various end-use sectors, reflecting its growing importance in today’s tech-driven landscape. Consumer electronics stand out as a rapidly evolving domain where AI in computer vision enhances user experience through smart devices that recognize faces and gestures, thus promoting user engagement and connectivity. In the industrial sector, the integration of AI-driven computer vision is pivotal for automation, quality control, and predictive maintenance, leading to increased efficiency and reduced operational costs.

    The aerospace and defense industry benefits immensely from computer vision technology for surveillance, reconnaissance, and enhanced situational awareness, which is critical for operational success and security. Transportation, particularly with the rise of smart vehicles, heavily relies on AI in computer vision for navigation, safety, and traffic management, aiming for safer and more efficient transit systems.

    This segmentation reflects the broader India AI in Computer Vision Market data, showcasing significant growth opportunities driven by innovation, expanding applications, and increasing investments in technological advancements, making it a vital component of future development strategies across these key sectors.As these industries continue to evolve, the emphasis on AI and computer vision integration will play a crucial role in shaping the market landscape and pushing towards advancements in efficiency and productivity.

    Get more detailed insights about India AI in Computer Vision Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The India AI in Computer Vision Market is an evolving sector that showcases a significant competitive landscape, with various players contributing to its growth. The increasing demand for intelligent imaging solutions across a multitude of industries, such as healthcare, automotive, and retail, has fostered innovation and technological advancements. As businesses increasingly recognize the value of artificial intelligence in enhancing productivity and automating processes, numerous firms are vying for market share. This competitive environment has stimulated investments, research partnerships, and the development of unique solutions aimed at addressing specific industry needs.

    Companies in this market are not only focusing on creating advanced computer vision technologies but are also navigating challenges such as regulatory requirements and the fast pace of technological advancement. 

    Ganit has established a strong foothold in the India AI in Computer Vision Market, leveraging its innovative approaches to deliver tailored solutions for various sectors. The company is recognized for its expertise in data analytics and machine learning, enabling it to provide high-quality computer vision applications that enhance operational efficiency for clients. Ganit's strength lies in its talented workforce, which continually pushes the boundaries of what is possible in the realm of AI, and its commitment to addressing industry-specific challenges.

    The firm has built a reputation for its ability to integrate complex AI systems seamlessly into existing infrastructures, and its proactive engagement with clients helps in identifying areas where computer vision can create significant value. This adaptability is crucial in a competitive landscape, allowing Ganit to maintain a robust market presence in India.

    NVIDIA has carved a prominent niche in the India AI in Computer Vision Market, recognized for its powerful hardware and software solutions that underpin advanced computer vision applications. The company offers cutting-edge GPUs and platforms that facilitate the deployment of machine learning and artificial intelligence algorithms at scale, thereby serving a diverse range of industries. NVIDIA's strengths are particularly evident in its comprehensive ecosystem that includes developer tools, libraries, and resources that empower businesses to build innovative AI-driven applications seamlessly.

    The firm’s strategic focus on partnerships, mergers, and acquisitions within the region has further solidified its market position and expanded its capabilities in computer vision. By continuously investing in research and development, NVIDIA stays at the forefront of technological advancement, ensuring its solutions effectively meet the complex demands of the Indian market in this rapidly evolving field.

    Key Companies in the India AI in Computer Vision Market market include

    Industry Developments

    In March 2023, Fractal Analytics expanded its capabilities in computer vision, aligning with trends promoting innovation in business processes. Sigtuple reported advancements in AI for healthcare diagnostics in January 2023, showcasing how computer vision is revolutionizing patient care. 

    In August 2023, Niramai made strides in early cancer detection technologies, incorporating AI to enhance screening processes. Regarding mergers and acquisitions, in April 2023, Wipro announced a strategic partnership to leverage AI technologies with a focus on computer vision applications, further reinforcing its market position. 

    Tata Consultancy Services has also been expanding its service portfolio in recent months by acquiring several smaller firms focusing on AI technologies, including computer vision capabilities. India's investment in AI startups has surged, with the sector's valuation projected to grow, indicating a robust future for AI in Computer Vision, with the government's push for digital transformation catalyzing this growth.

    Market Segmentation

    AI in Computer Vision Market End Use Outlook

    • Consumer Electronics
    • Industrial
    • Aerospace and Defense
    • Transportation

    AI in Computer Vision Market Component Outlook

    • Hardware
    • Software
    • Services

    AI in Computer Vision Market Technology Outlook

    • Deep Learning
    • Machine Learning
    • Image Processing
    • Pattern Recognition

    AI in Computer Vision Market Application Outlook

    • Healthcare
    • Automotive
    • Retail
    • Manufacturing
    • Security

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 639.45(USD Million)
    MARKET SIZE 2024 739.72(USD Million)
    MARKET SIZE 2035 3850.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 16.179% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED Ganit, NVIDIA, Qualcomm, Happiest Minds, Infosys, CureMetrix, Fractal Analytics, Sigtuple, Niramai, Qure.ai, Robolab Technologies, Wipro, Tata Consultancy Services
    SEGMENTS COVERED Application, Technology, Component, End Use
    KEY MARKET OPPORTUNITIES Retail analytics and personalized shopping, Autonomous vehicle development, Healthcare diagnostics and imaging, Security surveillance enhancement, Manufacturing process automation.
    KEY MARKET DYNAMICS growing demand for automation, increasing investments in AI, advancements in deep learning, rising industry applications, attractive startup ecosystem
    COUNTRIES COVERED India

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    What is the expected market size of the India AI in Computer Vision Market in 2024?

    In 2024, the India AI in Computer Vision Market is expected to be valued at 739.72 USD million.

    What is the projected market value for the India AI in Computer Vision Market in 2035?

    By 2035, the market is projected to reach a value of 3850.0 USD million.

    What is the expected compound annual growth rate (CAGR) for the India AI in Computer Vision Market from 2025 to 2035?

    The anticipated CAGR for the market from 2025 to 2035 is 16.179%.

    Which application segment has the largest market value in 2024 for the India AI in Computer Vision Market?

    The Healthcare application segment leads with a market value of 180.0 USD million in 2024.

    What is the market value for the Automotive application segment in 2024?

    The Automotive application segment is valued at 150.0 USD million in 2024.

    How much is the Security application segment expected to be valued in 2035?

    The Security application segment is expected to reach a value of 950.0 USD million by 2035.

    Who are the key players in the India AI in Computer Vision Market?

    Major players in the market include Ganit, NVIDIA, Qualcomm, Happiest Minds, and others.

    What is the market value of the Retail application segment in 2035?

    The Retail application segment is projected to be valued at 650.0 USD million in 2035.

    What market value does the Manufacturing application segment hold in 2024?

    In 2024, the Manufacturing application segment is valued at 120.0 USD million.

    What challenges does the India AI in Computer Vision Market face amidst current market trends?

    Challenges include rapid technological advancements and the need for continuous innovation in applications.

    1. EXECUTIVE
    2. SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH
    16. METHODOLOGY
    17. Overview
    18. Data
    19. Mining
    20. Secondary Research
    21. Primary
    22. Research
    23. Primary Interviews and Information Gathering
    24. Process
    25. Breakdown of Primary Respondents
    26. Forecasting
    27. Model
    28. Market Size Estimation
    29. Bottom-Up
    30. Approach
    31. Top-Down Approach
    32. Data
    33. Triangulation
    34. Validation
    35. MARKET
    36. DYNAMICS
    37. Overview
    38. Drivers
    39. Restraints
    40. Opportunities
    41. MARKET FACTOR ANALYSIS
    42. Value chain Analysis
    43. Porter's
    44. Five Forces Analysis
    45. Bargaining Power of Suppliers
    46. Bargaining
    47. Power of Buyers
    48. Threat of New Entrants
    49. Threat
    50. of Substitutes
    51. Intensity of Rivalry
    52. COVID-19
    53. Impact Analysis
    54. Market Impact Analysis
    55. Regional
    56. Impact
    57. Opportunity and Threat Analysis
    58. India
    59. AI in Computer Vision Market, BY Application (USD Million)
    60. Healthcare
    61. Automotive
    62. Retail
    63. Manufacturing
    64. Security
    65. India
    66. AI in Computer Vision Market, BY Technology (USD Million)
    67. Deep
    68. Learning
    69. Machine Learning
    70. Image
    71. Processing
    72. Pattern Recognition
    73. India
    74. AI in Computer Vision Market, BY Component (USD Million)
    75. Hardware
    76. Software
    77. Services
    78. India
    79. AI in Computer Vision Market, BY End Use (USD Million)
    80. Consumer
    81. Electronics
    82. Industrial
    83. Aerospace
    84. and Defense
    85. Transportation
    86. Competitive Landscape
    87. Overview
    88. Competitive
    89. Analysis
    90. Market share Analysis
    91. Major
    92. Growth Strategy in the AI in Computer Vision Market
    93. Competitive
    94. Benchmarking
    95. Leading Players in Terms of Number of Developments
    96. in the AI in Computer Vision Market
    97. Key developments
    98. and growth strategies
    99. New Product Launch/Service Deployment
    100. Merger
    101. & Acquisitions
    102. Joint Ventures
    103. Major
    104. Players Financial Matrix
    105. Sales and Operating Income
    106. Major
    107. Players R&D Expenditure. 2023
    108. Company
    109. Profiles
    110. Ganit
    111. Financial
    112. Overview
    113. Products Offered
    114. Key
    115. Developments
    116. SWOT Analysis
    117. Key
    118. Strategies
    119. NVIDIA
    120. Financial
    121. Overview
    122. Products Offered
    123. Key
    124. Developments
    125. SWOT Analysis
    126. Key
    127. Strategies
    128. Qualcomm
    129. Financial
    130. Overview
    131. Products Offered
    132. Key
    133. Developments
    134. SWOT Analysis
    135. Key
    136. Strategies
    137. Happiest Minds
    138. Financial
    139. Overview
    140. Products Offered
    141. Key
    142. Developments
    143. SWOT Analysis
    144. Key
    145. Strategies
    146. Infosys
    147. Financial
    148. Overview
    149. Products Offered
    150. Key
    151. Developments
    152. SWOT Analysis
    153. Key
    154. Strategies
    155. CureMetrix
    156. Financial
    157. Overview
    158. Products Offered
    159. Key
    160. Developments
    161. SWOT Analysis
    162. Key
    163. Strategies
    164. Fractal Analytics
    165. Financial
    166. Overview
    167. Products Offered
    168. Key
    169. Developments
    170. SWOT Analysis
    171. Key
    172. Strategies
    173. Sigtuple
    174. Financial
    175. Overview
    176. Products Offered
    177. Key
    178. Developments
    179. SWOT Analysis
    180. Key
    181. Strategies
    182. Niramai
    183. Financial
    184. Overview
    185. Products Offered
    186. Key
    187. Developments
    188. SWOT Analysis
    189. Key
    190. Strategies
    191. Qure.ai
    192. Financial
    193. Overview
    194. Products Offered
    195. Key
    196. Developments
    197. SWOT Analysis
    198. Key
    199. Strategies
    200. Robolab Technologies
    201. Financial
    202. Overview
    203. Products Offered
    204. Key
    205. Developments
    206. SWOT Analysis
    207. Key
    208. Strategies
    209. Wipro
    210. Financial
    211. Overview
    212. Products Offered
    213. Key
    214. Developments
    215. SWOT Analysis
    216. Key
    217. Strategies
    218. Tata Consultancy Services
    219. Financial
    220. Overview
    221. Products Offered
    222. Key
    223. Developments
    224. SWOT Analysis
    225. Key
    226. Strategies
    227. References
    228. Related
    229. Reports
    230. LIST
    231. OF ASSUMPTIONS
    232. India AI in Computer Vision Market SIZE
    233. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    234. India
    235. AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035
    236. (USD Billions)
    237. India AI in Computer Vision Market SIZE
    238. ESTIMATES & FORECAST, BY COMPONENT, 2019-2035 (USD Billions)
    239. India
    240. AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY END USE, 2019-2035
    241. (USD Billions)
    242. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    243. ACQUISITION/PARTNERSHIP
    244. LIST
    245. Of figures
    246. MARKET SYNOPSIS
    247. INDIA
    248. AI IN COMPUTER VISION MARKET ANALYSIS BY APPLICATION
    249. INDIA
    250. AI IN COMPUTER VISION MARKET ANALYSIS BY TECHNOLOGY
    251. INDIA
    252. AI IN COMPUTER VISION MARKET ANALYSIS BY COMPONENT
    253. INDIA
    254. AI IN COMPUTER VISION MARKET ANALYSIS BY END USE
    255. KEY
    256. BUYING CRITERIA OF AI IN COMPUTER VISION MARKET
    257. RESEARCH
    258. PROCESS OF MRFR
    259. DRO ANALYSIS OF AI IN COMPUTER VISION
    260. MARKET
    261. DRIVERS IMPACT ANALYSIS: AI IN COMPUTER VISION
    262. MARKET
    263. RESTRAINTS IMPACT ANALYSIS: AI IN COMPUTER VISION
    264. MARKET
    265. SUPPLY / VALUE CHAIN: AI IN COMPUTER VISION MARKET
    266. AI
    267. IN COMPUTER VISION MARKET, BY APPLICATION, 2025 (% SHARE)
    268. AI
    269. IN COMPUTER VISION MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    270. AI
    271. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    272. AI
    273. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    274. AI
    275. IN COMPUTER VISION MARKET, BY COMPONENT, 2025 (% SHARE)
    276. AI
    277. IN COMPUTER VISION MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    278. AI
    279. IN COMPUTER VISION MARKET, BY END USE, 2025 (% SHARE)
    280. AI
    281. IN COMPUTER VISION MARKET, BY END USE, 2019 TO 2035 (USD Billions)
    282. BENCHMARKING
    283. OF MAJOR COMPETITORS

    India AI in Computer Vision Market Segmentation

     

     

     

    • AI in Computer Vision Market By Application (USD Million, 2019-2035)

      • Healthcare
      • Automotive
      • Retail
      • Manufacturing
      • Security

     

    • AI in Computer Vision Market By Technology (USD Million, 2019-2035)

      • Deep Learning
      • Machine Learning
      • Image Processing
      • Pattern Recognition

     

    • AI in Computer Vision Market By Component (USD Million, 2019-2035)

      • Hardware
      • Software
      • Services

     

    • AI in Computer Vision Market By End Use (USD Million, 2019-2035)

      • Consumer Electronics
      • Industrial
      • Aerospace and Defense
      • Transportation

     

     

     

     

     

     

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