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    GCC Artificial Neural Network Market

    ID: MRFR/ICT/59859-HCR
    200 Pages
    Aarti Dhapte
    October 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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    GCC Artificial Neural Network Market Infographic
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    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.

    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

    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

    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.

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