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    GCC Artificial Neural Network Market

    ID: MRFR/ICT/59859-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    GCC Artificial Neural Network Market Research Report By Type (Feedback Artificial Neural Network, Feedforward Artificial Neural Network, Other), By Component (Software, Services, Other) and By Application (Drug Development, Others)-Forecast to 2035

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    Table of Contents

    GCC Artificial Neural Network Market Summary

    The GCC Artificial Neural Network market is projected to grow significantly from 3.18 USD Billion in 2024 to 10 USD Billion by 2035.

    Key Market Trends & Highlights

    GCC Artificial Neural Network Key Trends and Highlights

    • The market is expected to achieve a compound annual growth rate (CAGR) of 10.98% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 10 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 3.18 USD Billion, reflecting a solid foundation for future expansion.
    • Growing adoption of artificial intelligence technologies due to increasing demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 3.18 (USD Billion)
    2035 Market Size 10 (USD Billion)
    CAGR (2025-2035) 10.98%

    Major Players

    Oracle, Microsoft, SAP, Siemens, Hewlett Packard Enterprise, Deloitte, C3.ai, NVIDIA, Salesforce, Intel, Google, DataRobot, IBM, Accenture

    GCC Artificial Neural Network Market Trends

    The GCC Artificial Neural Network Market is characterized by substantial growth, which is encouraged by a variety of critical market drivers. Increased utilization of artificial intelligence and machine learning in numerous industries, including finance, healthcare, and manufacturing, is one of the primary factors.

    National strategies, including Saudi Vision 2030 and the UAE's Strategy for Artificial Intelligence, are indicative of the active promotion of digital transformation initiatives by governments in the GCC region. The significance of utilizing advanced technologies to advance public services and stimulate economic growth is underscored by this initiative.

    Indeed, there are substantial opportunities to be investigated, particularly in industries such as healthcare, where artificial neural networks can enhance patient care and diagnostic accuracy. In addition, the increasing availability of data and the necessity for data-driven decision-making are generating opportunities for neural networks in predictive modeling and analytics. The potential of these technologies to unlock efficiencies and promote innovation is being increasingly recognized by organizations.

    A significant emphasis has been placed on the development of artificial intelligence research and development through partnerships between academic institutions and technology companies in the GCC, as evidenced by recent trends.

    In addition, there is an increasing trend among businesses to integrate neural networks in order to optimize supply chains, enhance consumer experiences, and automate processes. Advanced algorithms are also required to oversee urban infrastructure and services, as evidenced by the region's investment in smart city initiatives. As the GCC continues to adopt digitalization, the significance of artificial neural networks is expected to increase, creating ongoing opportunities for market growth and innovation.

    GCC Artificial Neural Network Market Drivers

    Market Segment Insights

    GCC Artificial Neural Network Market Segment Insights

    GCC Artificial Neural Network Market Segment Insights

    Artificial Neural Network Market Type Insights

    Artificial Neural Network Market Type Insights

    The GCC Artificial Neural Network Market segmentation under the Type category indicates a diverse landscape with notable categories including Feedback Artificial Neural Networks, Feedforward Artificial Neural Networks, and Others. Feedback Artificial Neural Networks are particularly significant as they utilize historical data to improve predictions, making them ideal for applications such as pattern recognition and time series prediction, which are increasingly vital for various industries in the GCC region seeking to leverage AI for strategic decision-making.On the other hand, Feedforward Artificial Neural Networks represent a major component of this segment, characterized by their straightforward data flow from input to output layers.

    This type is extensively utilized for classification and regression tasks, enabling businesses in the GCC to automate processes and enhance productivity in different verticals such as finance, healthcare, and telecommunications. The Other category encompasses various unconventional architectures and emerging technologies, which, while less prevalent, are gaining traction as organizations experiment with innovative solutions tailored to specific needs.

    The rapid digitization occurrence across the GCC countries, driven by governmental initiatives and the desire to diversify economies, generates substantial growth opportunities for all types of Artificial Neural Networks. Overall, the Type segmentation presents unique advantages that cater to the diverse demands within the region, propelling advancements in automation and intelligent analytics, thereby reflecting the broader trends of technological integration in the GCC marketplace.

    The ongoing developments in data science and machine learning further contribute to enhancing the reliability and efficiency of these neural network types, confirming their importance as foundational elements of the GCC Artificial Neural Network Market landscape.

    Artificial Neural Network Market Component Insights

    Artificial Neural Network Market Component Insights

    The Component segment of the GCC Artificial Neural Network Market plays a pivotal role in driving technological advancements and enhancing operational efficiencies across various industries. Within this segment, Software solutions are integral, offering tools for model development and data analysis that empower organizations to leverage artificial intelligence capabilities effectively. Services, including consulting and support, are vital in ensuring the successful integration and maintenance of these systems, facilitating smoother transitions and optimized performance for businesses.

    Additionally, other components contribute by providing essential hardware and infrastructures that support the demands of neural network applications. The growing emphasis on automation and data-driven decision-making within the GCC region emphasizes the importance of these components, reflecting a regional trend towards adopting advanced technologies to enhance productivity and innovation. The GCC’s commitment to diversifying its economy and investing in smart technologies positions the Component segment as a significant driver of market growth, opening avenues for enhanced services and technological solutions tailored to local industry needs.

    Artificial Neural Network Market Application Insights

    Artificial Neural Network Market Application Insights

    The Application segment of the GCC Artificial Neural Network Market has been gaining considerable traction due to its essential roles in various industries. Notably, the sector of Drug Development is particularly significant, as companies leverage artificial neural networks for drug discovery and optimization processes. This application helps in predicting compound interactions and streamlining clinical trials, which is crucial in a region where advancements in healthcare and pharmaceuticals are prioritized.

    Additionally, other applications in the market support diverse industries, including finance, where artificial neural networks enhance data analysis and decision-making processes.As the GCC countries increasingly embrace digital transformation, the demand for sophisticated artificial intelligence solutions is expected to rise.

    The ongoing government initiatives aimed at bolstering technology adoption further create abundant opportunities for innovation within the GCC Artificial Neural Network Market, thus propelling its overall growth trajectory. Overall, this segment not only showcases technological advancements but also reflects the region's commitment to enhancing efficiency and effectiveness across various fields.

    Get more detailed insights about GCC Artificial Neural Network Market Research Report-Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The GCC Artificial Neural Network Market is witnessing significant growth due to the increasing emphasis on automation and data-driven decision-making across various industries. The competitive landscape is characterized by a blend of global technology leaders and regional players who are vying for market share. Companies are focusing on harnessing the power of artificial intelligence to create innovative solutions that cater to specific regional needs, thus fostering a dynamic environment for growth.

    With the rapid digital transformation in sectors such as healthcare, finance, and transportation within the GCC, organizations are investing heavily in artificial neural networks to enhance their operational efficiency and deliver improved customer experiences. As a result, competitive strategies including partnerships, product innovation, and targeted marketing campaigns have become prevalent as companies aim to establish a strong foothold in this burgeoning market.Oracle has significantly established its presence in the GCC Artificial Neural Network Market through its robust technology offerings and innovative solutions.

    The company's strengths lie in its comprehensive suite of cloud applications and platforms that integrate advanced artificial neural networks to deliver predictive analytics and machine learning capabilities. Oracle's commitment to cloud technology enables businesses in the region to leverage powerful computational resources for their neural network applications, driving efficiency and scalability. Moreover, Oracle's strong focus on customer support and its extensive training programs equip organizations in the GCC with the necessary skills and knowledge to effectively utilize its technologies.

    This strategic customer-centric approach helps deepen Oracle's engagement in the market and elevates its competitive positioning.Microsoft has also secured a prominent role in the GCC Artificial Neural Network Market, primarily through its Azure cloud services, which include a suite of AI tools and frameworks designed to support the development and deployment of neural networks. The company's strengths are underscored by its investment in regional data centers, enabling lower latency and compliance with local data regulations.

    Microsoft’s key offerings include Azure Machine Learning and Cognitive Services, which empower businesses to build and integrate intelligent applications seamlessly. The company's commitment to innovation is evident through its continuous updates and feature enhancements, ensuring that users have access to cutting-edge technology. Furthermore, through strategic mergers and partnerships within the GCC, Microsoft has solidified its market presence and expanded its capabilities, thus enhancing its competitive edge in delivering AI-driven solutions tailored to meet the unique demands of the region.

    Key Companies in the GCC Artificial Neural Network Market market include

    Industry Developments

    In April 2024, Microsoft made a strategic investment of US$1.5 billion in G42, an AI enterprise based in the UAE. This investment resulted in a minority stake and board representation, which facilitated the integration of Azure-based neural network technology across various sectors in the UAE. Additionally, it established a $1 billion AI skills fund for the region.In November 2024, Kuwait Finance House (KFH) implemented its in-house AI engine "RiskGPT," which was developed in partnership with Microsoft.

    This engine employs ANN-based analytics to reduce the turnover time for risk assessments from days to under an hour, thereby demonstrating the operational capabilities of AI in finance.In May 2025, Saudi Arabia, through its Public Investment Fund subsidiary HUMAIN, collaborated with NVIDIA to establish sovereign "AI factories" that are powered by hundreds of thousands of NVIDIA GPUs (including 18,000 GB300 supercomputers).

    These factories will facilitate neural-network compute, digital-twin simulations, and industry-wide AI deployments.NVIDIA and the Saudi Data & AI Authority (SDAIA) initiated a generative AI training program at King Fahd University of Petroleum & Minerals (Dhahran) in January 2025. The program's objective is to provide training in generative neural network technologies to more than 4,000 Saudi professionals.

    Market Segmentation

    Artificial Neural Network Market Type Outlook

    • Software
    • Services
    • Other

    Artificial Neural Network Market Component Outlook

    • Drug Development
    • Others

    Artificial Neural Network Market Application Outlook

    • Drug Development
    • Others

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 2.64(USD Billion)
    MARKET SIZE 2024 3.18(USD Billion)
    MARKET SIZE 2035 10.0(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.985% (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 Billion
    KEY COMPANIES PROFILED Oracle, Microsoft, Wipro, SAP, Siemens, Hewlett Packard Enterprise, Deloitte, C3.ai, NVIDIA, Salesforce, Intel, Google, DataRobot, IBM, Accenture
    SEGMENTS COVERED Type, Component, Application
    KEY MARKET OPPORTUNITIES Healthcare data analysis expansion, Smart city infrastructure integration, Enhanced customer service automation, Financial fraud detection solutions, Education technology personalization tools
    KEY MARKET DYNAMICS growing demand for automation, increasing data generation, rising investment in AI, favorable government initiatives, expanding technological infrastructure
    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 Artificial Neural Network Market in 2024?

    The GCC Artificial Neural Network Market is expected to be valued at 3.18 USD Billion in 2024.

    What will the market value of the GCC Artificial Neural Network Market be by 2035?

    By 2035, the GCC Artificial Neural Network Market is projected to reach 10.0 USD Billion.

    What is the expected CAGR for the GCC Artificial Neural Network Market during the forecast period?

    The expected CAGR for the GCC Artificial Neural Network Market from 2025 to 2035 is 10.985%.

    Which type of artificial neural network is expected to lead the market by 2035?

    By 2035, the Feedforward Artificial Neural Network is expected to lead, valued at 6.0 USD Billion.

    What are the expected market values for Feedback Artificial Neural Networks in 2024 and 2035?

    Feedback Artificial Neural Networks are expected to be valued at 1.1 USD Billion in 2024 and 3.5 USD Billion in 2035.

    What are the anticipated market figures for other types of artificial neural networks by 2035?

    The 'Other' category of artificial neural networks is expected to reach a market size of 0.5 USD Billion by 2035.

    Who are the major players in the GCC Artificial Neural Network Market?

    Key players in the GCC Artificial Neural Network Market include Oracle, Microsoft, Wipro, SAP, and Siemens.

    What impact does regional demand have on the GCC Artificial Neural Network Market?

    The GCC region's demand is expected to grow significantly, contributing to the overall market expansion through technology adoption.

    What are the growth drivers behind the GCC Artificial Neural Network Market?

    Growth drivers include increasing investments in AI technologies and the need for advanced data analysis.

    How competitive is the GCC Artificial Neural Network Market?

    The GCC Artificial Neural Network Market is highly competitive with numerous companies innovating and expanding their products and services.

    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. Artificial Neural Network Market, BY Type (USD Billion)
    60. Feedback
    61. Artificial Neural Network
    62. Feedforward Artificial Neural
    63. Network
    64. Other
    65. GCC
    66. Artificial Neural Network Market, BY Component (USD Billion)
    67. Software
    68. Services
    69. Other
    70. GCC
    71. Artificial Neural Network Market, BY Application (USD Billion)
    72. Drug
    73. Development
    74. Others
    75. Competitive Landscape
    76. Overview
    77. Competitive
    78. Analysis
    79. Market share Analysis
    80. Major
    81. Growth Strategy in the Artificial Neural Network Market
    82. Competitive
    83. Benchmarking
    84. Leading Players in Terms of Number of Developments
    85. in the Artificial Neural Network Market
    86. Key developments
    87. and growth strategies
    88. New Product Launch/Service Deployment
    89. Merger
    90. & Acquisitions
    91. Joint Ventures
    92. Major
    93. Players Financial Matrix
    94. Sales and Operating Income
    95. Major
    96. Players R&D Expenditure. 2023
    97. Company
    98. Profiles
    99. Oracle
    100. Financial
    101. Overview
    102. Products Offered
    103. Key
    104. Developments
    105. SWOT Analysis
    106. Key
    107. Strategies
    108. Microsoft
    109. Financial
    110. Overview
    111. Products Offered
    112. Key
    113. Developments
    114. SWOT Analysis
    115. Key
    116. Strategies
    117. Wipro
    118. Financial
    119. Overview
    120. Products Offered
    121. Key
    122. Developments
    123. SWOT Analysis
    124. Key
    125. Strategies
    126. SAP
    127. Financial
    128. Overview
    129. Products Offered
    130. Key
    131. Developments
    132. SWOT Analysis
    133. Key
    134. Strategies
    135. Siemens
    136. Financial
    137. Overview
    138. Products Offered
    139. Key
    140. Developments
    141. SWOT Analysis
    142. Key
    143. Strategies
    144. Hewlett Packard Enterprise
    145. Financial
    146. Overview
    147. Products Offered
    148. Key
    149. Developments
    150. SWOT Analysis
    151. Key
    152. Strategies
    153. Deloitte
    154. Financial
    155. Overview
    156. Products Offered
    157. Key
    158. Developments
    159. SWOT Analysis
    160. Key
    161. Strategies
    162. C3.ai
    163. Financial
    164. Overview
    165. Products Offered
    166. Key
    167. Developments
    168. SWOT Analysis
    169. Key
    170. Strategies
    171. NVIDIA
    172. Financial
    173. Overview
    174. Products Offered
    175. Key
    176. Developments
    177. SWOT Analysis
    178. Key
    179. Strategies
    180. Salesforce
    181. Financial
    182. Overview
    183. Products Offered
    184. Key
    185. Developments
    186. SWOT Analysis
    187. Key
    188. Strategies
    189. Intel
    190. Financial
    191. Overview
    192. Products Offered
    193. Key
    194. Developments
    195. SWOT Analysis
    196. Key
    197. Strategies
    198. Google
    199. Financial
    200. Overview
    201. Products Offered
    202. Key
    203. Developments
    204. SWOT Analysis
    205. Key
    206. Strategies
    207. DataRobot
    208. Financial
    209. Overview
    210. Products Offered
    211. Key
    212. Developments
    213. SWOT Analysis
    214. Key
    215. Strategies
    216. IBM
    217. Financial
    218. Overview
    219. Products Offered
    220. Key
    221. Developments
    222. SWOT Analysis
    223. Key
    224. Strategies
    225. Accenture
    226. Financial
    227. Overview
    228. Products Offered
    229. Key
    230. Developments
    231. SWOT Analysis
    232. Key
    233. Strategies
    234. References
    235. Related
    236. Reports
    237. LIST
    238. OF ASSUMPTIONS
    239. GCC Artificial Neural Network Market SIZE
    240. ESTIMATES & FORECAST, BY TYPE, 2019-2035 (USD Billions)
    241. GCC
    242. Artificial Neural Network Market SIZE ESTIMATES & FORECAST, BY COMPONENT, 2019-2035
    243. (USD Billions)
    244. GCC Artificial Neural Network Market SIZE
    245. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    246. PRODUCT
    247. LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    248. ACQUISITION/PARTNERSHIP
    249. LIST
    250. Of figures
    251. MARKET SYNOPSIS
    252. GCC
    253. ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY TYPE
    254. GCC
    255. ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY COMPONENT
    256. GCC
    257. ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY APPLICATION
    258. KEY
    259. BUYING CRITERIA OF ARTIFICIAL NEURAL NETWORK MARKET
    260. RESEARCH
    261. PROCESS OF MRFR
    262. DRO ANALYSIS OF ARTIFICIAL NEURAL NETWORK
    263. MARKET
    264. DRIVERS IMPACT ANALYSIS: ARTIFICIAL NEURAL NETWORK
    265. MARKET
    266. RESTRAINTS IMPACT ANALYSIS: ARTIFICIAL NEURAL
    267. NETWORK MARKET
    268. SUPPLY / VALUE CHAIN: ARTIFICIAL NEURAL
    269. NETWORK MARKET
    270. ARTIFICIAL NEURAL NETWORK MARKET, BY TYPE,
    271. (% SHARE)
    272. ARTIFICIAL NEURAL NETWORK MARKET, BY TYPE,
    273. TO 2035 (USD Billions)
    274. ARTIFICIAL NEURAL NETWORK
    275. MARKET, BY COMPONENT, 2025 (% SHARE)
    276. ARTIFICIAL NEURAL
    277. NETWORK MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    278. ARTIFICIAL
    279. NEURAL NETWORK MARKET, BY APPLICATION, 2025 (% SHARE)
    280. ARTIFICIAL
    281. NEURAL NETWORK MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    282. BENCHMARKING
    283. OF MAJOR COMPETITORS

    GCC Artificial Neural Network Market Segmentation

    • Artificial Neural Network Market By Type (USD Billion, 2019-2035)

      • Feedback Artificial Neural Network
      • Feedforward Artificial Neural Network
      • Other

     

    • Artificial Neural Network Market By Component (USD Billion, 2019-2035)

      • Software
      • Services
      • Other

     

    • Artificial Neural Network Market By Application (USD Billion, 2019-2035)

      • Drug Development
      • Others

     

     

     

     

     

     

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