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    GCC AI in Computer Vision Market

    ID: MRFR/ICT/57038-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    GCC 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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    GCC AI in Computer Vision Market Research Report- Forecast to 2035 Infographic
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    Table of Contents

    GCC AI in Computer Vision Market Summary

    The GCC AI in Computer Vision market is poised for substantial growth, reaching 563.6 USD Million by 2035.

    Key Market Trends & Highlights

    GCC AI in Computer Vision Key Trends and Highlights

    • The market is valued at 281.8 USD Million in 2024, indicating a robust starting point for growth.
    • It is projected to grow at a compound annual growth rate of 6.5 percent from 2025 to 2035.
    • By 2035, the market is expected to double in size, reflecting increasing investments in AI technologies.
    • Growing adoption of AI in various sectors due to enhanced operational efficiency is a major market driver.

    Market Size & Forecast

    2024 Market Size 281.8 (USD Million)
    2035 Market Size 563.6 (USD Million)
    CAGR (2025-2035) 6.5%

    Major Players

    Qualcomm, NVIDIA, Oracle, Intel, Siemens, SenseTime, Amazon, Google, C3.ai, Microsoft, Cognex, SAS, ABB, IBM, Megvii

    GCC AI in Computer Vision Market Trends

    The GCC AI in Computer Vision Market is expanding rapidly as governments push smart-city agendas and wider digital makeovers. The UAE and Saudi Arabia are pouring funds into AI-powered urban systems, using computer vision to polish surveillance, ease traffic flow, and boost retail insight. Such spending lines up with national blueprints like Saudi Vision 2030 and the UAE AI Strategy 2031, both questing to weave AI into daily life and lift efficiency. Numerous prospects remain untapped in health care and security, where imaging systems can sharpen diagnoses and tighten public safety.

    Health care stands out since smarter scans and real-time analysis can speed treatment and streamline hospital routines. In parallel, the Gulf states quest for safer streets and malls creates fertile ground for vision cameras and analytic dashboards. Recent signals show firms and public bodies leaning into these AI tools, drawn by their knack for sifting huge data streams and fuelling quick, informed choices.

    Rising demand for automation in retail, transport, and logistics is accelerating the advance of computer-vision tools across those sectors. At the same time, partnerships between tech companies and municipal authorities are becoming routine, fostering solutions customized for each Gulf Cooperation Council (GCC) nation. Such cooperation not only broadens the market portfolio but also propels local research-and-development efforts, reinforcing the GCCs standing as a growing center for AI-driven vision technology.

    GCC AI in Computer Vision Market Drivers

    Market Segment Insights

    GCC AI in Computer Vision Market Segment Insights

    GCC AI in Computer Vision Market Segment Insights

    AI in Computer Vision Market Application Insights

    AI in Computer Vision Market Application Insights

    The Application segment of the GCC AI in Computer Vision Market is witnessing considerable transformation, driven by advancements in technology and an increasing demand for automation across various sectors. Within this segment, vital industries such as Healthcare, Automotive, Retail, Manufacturing, and Security are all harnessing the potential of AI and computer vision technologies. In Healthcare, AI-powered imaging solutions facilitate diagnostic accuracy and improve patient outcomes, resulting in more streamlined healthcare service delivery.

    The Automotive sector is experiencing significant changes as autonomous driving technologies heavily rely on computer vision for real-time object detection and navigation, enhancing the safety and efficiency of transportation.

    Retail is also evolving, using AI to analyze customer behavior and optimize inventory management through advanced visual recognition techniques, refining the overall shopping experience. Manufacturing utilizes computer vision for quality control and automation, ensuring operational efficiency and reducing human error. In the Security sector, computer vision systems play a crucial role in surveillance and threat detection, helping safeguard assets and individuals. The increasing integration of artificial intelligence in these applications underlines a strong trend towards improved operational efficiency and effectiveness across the GCC region, setting a robust foundation for growth in the coming years.

    As businesses prioritize technology investments, the GCC AI in Computer Vision Market segmentation illustrates a diverse landscape, with each sector contributing significantly to market evolution and expansion. The growing focus on digital transformation, combined with governmental support for innovation, creates ample opportunities for the implementation and expansion of AI in computer vision applications, making it a focal point for investors and developers in the region. 

    AI in Computer Vision Market Technology Insights

    AI in Computer Vision Market Technology Insights

    The Technology segment of the GCC AI in Computer Vision Market shows a comprehensive integration of advanced techniques that significantly enhance visual data processing. Deep Learning remains a fundamental technology, leveraging neural networks to facilitate accuracy in applications like facial recognition and autonomous driving, which are increasingly pivotal in GCC smart city developments.

    Machine Learning is another critical player, empowering systems to learn from data and improve over time, thus driving efficiency in industries such as healthcare and security.Image Processing specializes in manipulating and analyzing images to extract meaningful information, which is indispensable in sectors like retail for inventory management and quality control. 

    Pattern Recognition, a vital technology, allows machines to identify patterns and anomalies, enhancing predictive maintenance in manufacturing. As governments in the GCC, particularly in the UAE and Saudi Arabia, invest in digital transformation initiatives, the significance of these technological sub-segments is expected to grow, shaping the future landscape of the AI in Computer Vision Market.The market demonstrates promising growth trends, attributed to increasing demand for automation and smart applications across various industries, creating opportunities for innovative solutions and advancements.

    AI in Computer Vision Market Component Insights

    AI in Computer Vision Market Component Insights

    The Component segment of the GCC AI in Computer Vision Market presents a diversified landscape comprising Hardware, Software, and Services. This market segment has been instrumental in driving advancements across various industries, particularly in security, automotive, and healthcare, contributing to the region's digital transformation. Hardware solutions, such as cameras and sensors, are essential for data collection and real-time processing, thereby supporting the deployment of AI-driven applications. Software plays a crucial role in interpreting and analyzing visual data, enhancing automation and decision-making processes across sectors.

    Meanwhile, Services include integration, customization, and maintenance, ensuring that AI systems are effectively tailored to meet the specific needs of businesses in the GCC. This segment is expected to grow significantly, propelled by increasing investments in smart city initiatives and government support for technology adoption in businesses. The rising demand for enhanced surveillance and safety measures further underscores the importance of this segment in meeting the key challenges faced by industries in the region.

    Overall, the Component segment remains a vital aspect of the GCC AI in Computer Vision Market, reflecting the region's commitment to embracing innovative technological solutions and enhancing operational efficiency.

    AI in Computer Vision Market End Use Insights

    AI in Computer Vision Market End Use Insights

    The End Use segment of the GCC AI in Computer Vision Market showcases a diverse range of applications that drive innovation and adoption across multiple industries. Consumer Electronics is significant, as the demand for smart devices equipped with computer vision technology continues to rise, enhancing user experiences through features such as facial recognition and augmented reality. The Industrial sector also plays a crucial role, with AI-powered vision systems improving efficiency and precision in processes like quality inspection and automation.

    The Aerospace and Defense segment highlights the importance of computer vision for surveillance, air traffic control, and unmanned aerial vehicles, where decision-making speed and accuracy are paramount. Moreover, Transportation relies heavily on AI in computer vision for self-driving vehicles, traffic management systems, and safety enhancements, aligning with the GCC region's focus on smart city initiatives and infrastructure development. Overall, these sectors illustrate the robust application and integration of computer vision technology, contributing to the market growth and addressing the dynamic needs of the GCC economy while advancing technological capabilities in everyday life.

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

    Regional Insights

    Key Players and Competitive Insights

    The GCC AI in Computer Vision Market is witnessing significant growth, driven by advancements in artificial intelligence technologies and increasing adoption across various sectors, including retail, healthcare, automotive, and security. Companies are competing to leverage cutting-edge innovations in computer vision to enhance operational efficiency, improve customer experiences, and drive revenue growth. The regional market presents ample opportunities for both established players and emerging startups due to favorable government initiatives aimed at bolstering AI capabilities and digitizing various industries. 

    Consequently, the competitive landscape is characterized by strategic partnerships, increasing investment in research and development, and a focus on creating scalable AI solutions tailored to local needs.Qualcomm has established a strong presence in the GCC AI in Computer Vision Market through its advanced technology solutions and robust product offerings. The company’s strengths lie in its innovative chipsets, which are designed to support high-performance computing tasks crucial for effective AI and computer vision applications. By focusing on low power consumption and high efficiency, Qualcomm enables businesses in the region to implement AI-driven initiatives without incurring excessive operational costs. 

    Moreover, the company's commitment to developing tailored solutions for mobile and edge devices is favorable as enterprises in the GCC increasingly seek to integrate AI capabilities into their existing operations. Qualcomm’s collaborative efforts with local companies and institutions have further enhanced its reputation, fostering an ecosystem that supports the growth of AI technologies.NVIDIA continues to be a dominant force in the GCC AI in Computer Vision Market, primarily due to its powerful GPUs that serve as the backbone for leading computer vision applications.

    The company’s product lineup includes the NVIDIA Jetson platform, which is specifically designed for AI-powered edge devices, offering developers the tools needed to create innovative solutions for various industries, including smart cities and healthcare. 

    NVIDIA's strengths in the realm of machine learning and deep learning further propel its significance in the market, as these capabilities are critical for enhancing computer vision technologies. The company has also made strategic investments and partnerships within the GCC region, focusing on collaboration with research institutions and tech startups to boost innovation. Additionally, mergers and acquisitions geared towards deepening its capabilities in AI and computer vision have positioned NVIDIA as a key player, ensuring that it remains at the forefront of industry advancements while catering to the unique demands of the GCC market.

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

    Industry Developments

    In September 2023, NVIDIA announced a partnership with regional governments to enhance smart city initiatives through advanced computer vision applications. Similarly, Microsoft unveiled its new AI solutions tailored for the GCC market, focusing on healthcare and surveillance using computer vision technology.

    Additionally, August 2023 saw IBM expanding its offerings in AI and computer vision by setting up a new research lab in the UAE, aiming to drive local innovation. In terms of market growth, the GCC AI in Computer Vision Market is projected to reach significant valuations, reflecting a strong demand driven by sectors such as security, retail, and healthcare. The rise in the adoption of AI technologies in the region is further supported by national strategies promoting digital transformation.

    Notably, in early 2022, Google established new partnerships with universities in Saudi Arabia to bolster AI Research and Development initiatives related to computer vision, indicating a growing focus on talent and expertise in the area.

    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 243.6(USD Million)
    MARKET SIZE 2024 281.8(USD Million)
    MARKET SIZE 2035 563.6(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 6.504% (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 Qualcomm, NVIDIA, Oracle, Intel, Siemens, SenseTime, Amazon, Google, C3.ai, Microsoft, Cognex, SAS, ABB, IBM, Megvii
    SEGMENTS COVERED Application, Technology, Component, End Use
    KEY MARKET OPPORTUNITIES Autonomous vehicles development, Smart city surveillance solutions, Retail analytics and insights, Healthcare imaging innovations, Industrial automation applications
    KEY MARKET DYNAMICS growing demand for automation, increasing investment in technology, rising adoption in healthcare, government support for AI, expanding applications in retail
    COUNTRIES COVERED GCC

    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 GCC AI in Computer Vision Market by 2035?

    The GCC AI in Computer Vision Market is expected to be valued at 563.6 million USD by 2035.

    What was the market value of the GCC AI in Computer Vision Market in 2024?

    In 2024, the GCC AI in Computer Vision Market is valued at 281.8 million USD.

    What is the anticipated CAGR for the GCC AI in Computer Vision Market from 2025 to 2035?

    The expected CAGR for the GCC AI in Computer Vision Market from 2025 to 2035 is 6.504%.

    Which application segment is projected to hold the largest market value in 2035?

    The Healthcare application segment is projected to reach 140.0 million USD in market value by 2035.

    What was the market size of the Automotive segment in the GCC AI in Computer Vision Market in 2024?

    The Automotive segment is valued at 65.0 million USD in the GCC AI in Computer Vision Market in 2024.

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

    Major players include Qualcomm, NVIDIA, Oracle, Intel, Siemens, and Amazon among others.

    What is the expected market size for the Security application in 2035?

    The Security application segment is expected to be valued at 83.6 million USD by 2035.

    What is the forecasted market value for the Retail application segment by 2035?

    The Retail application segment is forecasted to reach 110.0 million USD by 2035.

    What challenges might the GCC AI in Computer Vision Market face in the coming years?

    Challenges could include technological integration and data privacy concerns impacting adoption rates.

    What opportunities does the GCC AI in Computer Vision Market present for emerging startups?

    There are opportunities in niche applications such as healthcare diagnostics and smart retail solutions.

    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. GCC
    59. AI in Computer Vision Market, BY Application (USD Million)
    60. Healthcare
    61. Automotive
    62. Retail
    63. Manufacturing
    64. Security
    65. GCC
    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. GCC
    74. AI in Computer Vision Market, BY Component (USD Million)
    75. Hardware
    76. Software
    77. Services
    78. GCC
    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. Qualcomm
    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. Oracle
    129. Financial
    130. Overview
    131. Products Offered
    132. Key
    133. Developments
    134. SWOT Analysis
    135. Key
    136. Strategies
    137. Intel
    138. Financial
    139. Overview
    140. Products Offered
    141. Key
    142. Developments
    143. SWOT Analysis
    144. Key
    145. Strategies
    146. Siemens
    147. Financial
    148. Overview
    149. Products Offered
    150. Key
    151. Developments
    152. SWOT Analysis
    153. Key
    154. Strategies
    155. SenseTime
    156. Financial
    157. Overview
    158. Products Offered
    159. Key
    160. Developments
    161. SWOT Analysis
    162. Key
    163. Strategies
    164. Amazon
    165. Financial
    166. Overview
    167. Products Offered
    168. Key
    169. Developments
    170. SWOT Analysis
    171. Key
    172. Strategies
    173. Google
    174. Financial
    175. Overview
    176. Products Offered
    177. Key
    178. Developments
    179. SWOT Analysis
    180. Key
    181. Strategies
    182. C3.ai
    183. Financial
    184. Overview
    185. Products Offered
    186. Key
    187. Developments
    188. SWOT Analysis
    189. Key
    190. Strategies
    191. Microsoft
    192. Financial
    193. Overview
    194. Products Offered
    195. Key
    196. Developments
    197. SWOT Analysis
    198. Key
    199. Strategies
    200. Cognex
    201. Financial
    202. Overview
    203. Products Offered
    204. Key
    205. Developments
    206. SWOT Analysis
    207. Key
    208. Strategies
    209. SAS
    210. Financial
    211. Overview
    212. Products Offered
    213. Key
    214. Developments
    215. SWOT Analysis
    216. Key
    217. Strategies
    218. ABB
    219. Financial
    220. Overview
    221. Products Offered
    222. Key
    223. Developments
    224. SWOT Analysis
    225. Key
    226. Strategies
    227. IBM
    228. Financial
    229. Overview
    230. Products Offered
    231. Key
    232. Developments
    233. SWOT Analysis
    234. Key
    235. Strategies
    236. Megvii
    237. Financial
    238. Overview
    239. Products Offered
    240. Key
    241. Developments
    242. SWOT Analysis
    243. Key
    244. Strategies
    245. References
    246. Related
    247. Reports
    248. LIST
    249. OF ASSUMPTIONS
    250. GCC AI in Computer Vision Market SIZE
    251. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    252. GCC
    253. AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035
    254. (USD Billions)
    255. GCC AI in Computer Vision Market SIZE
    256. ESTIMATES & FORECAST, BY COMPONENT, 2019-2035 (USD Billions)
    257. GCC
    258. AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY END USE, 2019-2035
    259. (USD Billions)
    260. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    261. ACQUISITION/PARTNERSHIP
    262. LIST
    263. Of figures
    264. MARKET SYNOPSIS
    265. GCC
    266. AI IN COMPUTER VISION MARKET ANALYSIS BY APPLICATION
    267. GCC
    268. AI IN COMPUTER VISION MARKET ANALYSIS BY TECHNOLOGY
    269. GCC
    270. AI IN COMPUTER VISION MARKET ANALYSIS BY COMPONENT
    271. GCC
    272. AI IN COMPUTER VISION MARKET ANALYSIS BY END USE
    273. KEY
    274. BUYING CRITERIA OF AI IN COMPUTER VISION MARKET
    275. RESEARCH
    276. PROCESS OF MRFR
    277. DRO ANALYSIS OF AI IN COMPUTER VISION
    278. MARKET
    279. DRIVERS IMPACT ANALYSIS: AI IN COMPUTER VISION
    280. MARKET
    281. RESTRAINTS IMPACT ANALYSIS: AI IN COMPUTER VISION
    282. MARKET
    283. SUPPLY / VALUE CHAIN: AI IN COMPUTER VISION MARKET
    284. AI
    285. IN COMPUTER VISION MARKET, BY APPLICATION, 2025 (% SHARE)
    286. AI
    287. IN COMPUTER VISION MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    288. AI
    289. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    290. AI
    291. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    292. AI
    293. IN COMPUTER VISION MARKET, BY COMPONENT, 2025 (% SHARE)
    294. AI
    295. IN COMPUTER VISION MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    296. AI
    297. IN COMPUTER VISION MARKET, BY END USE, 2025 (% SHARE)
    298. AI
    299. IN COMPUTER VISION MARKET, BY END USE, 2019 TO 2035 (USD Billions)
    300. BENCHMARKING
    301. OF MAJOR COMPETITORS

    GCC 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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