The statistic shows the size of the Middle Eastern and African market for artificial intelligence, from 2016 to 2025. In 2017, the AI market in the Middle East and Africa is estimated to be worth around ** million U.S. dollars. Artificial intelligence technologies are being used in a variety of situations across consumer, enterprise, and government markets. The term is currently used to refer to a variety of technologies, such as machine learning and natural language processing.

Middle East and Africa Artificial Intelligence Optimised Data Center Market Report is Segmented by Data Center Type (CSP Data Centers, Colocation Data Centers, Others (Enterprise and Edge)), by Component (Hardware, Software Technology, Services - (Managed Services, Professional Services, Etc. ). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).

The market size in the artificial intelligence market in MENA was modeled to stand at 7.25 billion U.S. dollars in 2024. Between 2020 and 2024, the market size rose by 3.36 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The market size will steadily rise by 30.56 billion U.S. dollars over the period from 2024 to 2031, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Artificial Intelligence.

Machine learning holds the highest revenue share in the United Arab Emirates' AI market, reaching about 420.97 million U.S. dollars in 2024. In contrast, AI Robotics ranks lowest in market revenue. This disparity highlights the UAE's stronger investment focus on data-driven AI applications over hardware-intensive technologies. Market pressures and AI in the Emirates The adoption of AI tools across businesses in the UAE can be described as driven by push factors originating outside the businesses themselves. For instance, according to a survey from 2024, the main reasons for prioritizing AI and automation among businesses in the country included the adoption of technologies by competitors, customer feedback, and guidance from third parties. According to business professionals in the UAE, the leading goals of leveraging AI in businesses include operational efficiency, product or service innovation, and better detection and response to fraud or security incidents. As of 2024, the majority of technology professionals in the country listed AI and automation among the digital transformations that have facilitated high profitability increases in their organizations. AI potential and challenges in the GCC In absolute terms, Saudi Arabia and the United Arab Emirates, hold the largest added AI economic potential in the Gulf Cooperation Council (GCC). The potential annual economic impact of generative AI in the region was estimated at 35 billion U.S. dollars, on its upper bound as of 2024. On the other hand, generative AI heightens certain risks and creates new security challenges for organizations.

Middle East and Africa Artificial Intelligence Education Technology Market size will be USD 78.50 Million in 2023 and will expand at a compound annual growth rate (CAGR) of 47.2% from 2023 to 2030.

In Middle East and Africa Artificial Intelligence in Manufacturing Market is projected to grow from USD 1.15 billion in 2025 to USD 4.80 billion by 2031, at a CAGR of 26.6%

The Middle East and Africa AI, Cybersecurity, and Big Data Analytics Market Report is Segmented by Component (Hardware, Software, Services), Security Type (Network, and More), Analytics Type (Data Discovery and Visualization, and More), End-User Industry (IT and Telecom, and More), End-User Enterprise Size (Large Enterprises, Smes), and Geography (UAE, and More). The Market Forecasts are Provided in Terms of Value (USD).

Middle East and Africa Artificial Intelligence Chip market was USD 431.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 39.2% from 2024 to 2031. The market is foreseen to reach USD 4659.9 million by 2031, owing to increasing investement in AI technologies.

According to a survey conducted in the United Arab Emirates (UAE) among technology professionals in 2024, the primary reason for prioritizing artificial intelligence in businesses was to achieve higher operational efficiency, as indicated by 41 percent of the respondents. Comparatively, 27 percent of the surveyed professionals in the country said that customer service automation was their goal in leveraging AI.

In Middle East and Africa Artificial Intelligence in Healthcare Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.

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Artificial Intelligence Platforms Market Size 2024-2028

The artificial intelligence platforms market size is valued to increase USD 64.9 billion, at a CAGR of 45.1% from 2023 to 2028. Rising demand for AI-based solutions will drive the artificial intelligence platforms market.

Major Market Trends & Insights

North America dominated the market and accounted for a 66% growth during the forecast period.
By Application - Retail segment was valued at USD 662.60 billion in 2022
By Deployment - On-premises segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 2.00 million
Market Future Opportunities: USD 64896.80 million
CAGR : 45.1%
North America: Largest market in 2022

Market Summary

The market represents a dynamic and ever-evolving landscape, characterized by continuous innovation and advancements in core technologies and applications. With the increasing adoption of AI-driven solutions, there is a rising demand for advanced platforms that can facilitate seamless integration and interoperability among neural networks. According to recent studies, the global AI platforms market is expected to witness significant growth, with a notable market share held by major players such as IBM, Microsoft, and Google. However, the market is not without challenges.
The rise in data privacy issues poses a significant threat, necessitating stringent regulations and compliance measures. Despite these challenges, the market presents ample opportunities for growth, particularly in sectors such as healthcare, finance, and manufacturing, where AI-driven solutions can bring about transformative change. The ongoing unfolding of market activities and evolving patterns underscores the importance of staying informed and agile in this rapidly evolving landscape.

What will be the Size of the Artificial Intelligence Platforms Market during the forecast period?

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How is the Artificial Intelligence Platforms Market Segmented and what are the key trends of market segmentation?

The artificial intelligence platforms industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Retail
  Banking
  Manufacturing
  Healthcare
  Others


Deployment

  On-premises
  Cloud-based


Geography

  North America

    US


  Europe

    France
    Germany
    UK


  APAC

    China


  Rest of World (ROW)

By Application Insights

The retail segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) platforms are revolutionizing business operations across various sectors, with the retail industry experiencing significant growth. According to recent reports, the retail segment accounts for approximately 25% of the global AI market, a trend fueled by the digitalization of commerce and the increasing demand for personalized customer experiences. In the realm of AI, Natural Language Processing (NLP) and Cognitive Computing Services are key technologies driving innovation. NLP enables machines to understand human language, while cognitive computing services mimic human thought processes, leading to more accurate and efficient business solutions. Moreover, AI platforms are transforming industries by addressing challenges related to Hyperparameter Optimization, Model Versioning, and Responsible AI Development.

Hyperparameter optimization fine-tunes machine learning models for optimal performance, while model versioning ensures that updated models are seamlessly integrated into existing systems. Responsible AI development focuses on creating ethical AI frameworks and minimizing bias in AI systems. Key performance metrics, such as F1-score calculation, precision, and recall, are essential for evaluating AI model performance. Reinforcement learning methods, inference latency, and throughput optimization are also critical aspects of AI platforms, ensuring real-time data streaming and scalability. The integration of APIs, semantic web technologies, and predictive analytics tools further enhances AI capabilities. Deep learning algorithms, neural network architecture, and model training pipelines are essential components of advanced AI systems.

Data security protocols and knowledge graph technology are crucial for ensuring data privacy and security. Model performance evaluation, real-time data streaming, and bias detection algorithms are essential for maintaining trust and transparency in AI applications. AI-powered automation and big data processing are transforming industries by streamlining processes and generating valuable insights. Edge AI deployment and cloud-based AI platforms are enabling b

In 2023, Middle East Automotive AI Market reached a value of USD 136.1 million, and it is projected to surge to USD 960.4 million by 2030

In the Middle East and North Africa (MENA) region, the retail, wholesale trade, consumer goods, accommodation, and food services industries were expected to gain the most from Artificial Intelligence (AI), at around ** percent of the region's GDP in 2030. The MENA region was forecasted to accrue *** percent of the total global benefits of AI, which was valued at *** billion U.S. dollars by the same year.

Middle East and Africa Artificial Intelligence AI in Insurance Market size was USD 93.62 million in 2024 and will expand at a compound annual growth rate (CAGR) of 33.3% from 2024 to 2031.

The MEA generative AI market is projected at USD 1.5 billion in 2025 and will reach USD 12.9 billion by 2032, growing at 36.0% CAGR during 2026-2032.

The size of the MENA ICT market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.41% during the forecast period.The MENA ICT market is an extremely broad range of technologies and services that are transforming the region at a breakneck pace. It ranges from telecommunications and internet services to software development, cybersecurity, and artificial intelligence.The MENA ICT market is driven by several key factors, including increasing internet penetration, growing smartphone usage, government initiatives to promote digital transformation, and the emergence of a young and tech-savvy population. The region is witnessing significant investments in infrastructure development, such as 5G networks and data centers, which are further fueling the growth of the ICT sector.The MENA ICT market definitely offers a lot of room for innovation and growth. Given its rapid adoption of digital technologies, the region will more likely become a hub globally for ICT services and solutions. Recent developments include: October 2023 - Logicom, a regional technology distributor, entered a strategic relationship agreement with HP Poly, a provider of advanced workplace collaboration solutions. These solutions bridge the gap between in-room and remote participants in meetings, enhancing meeting equity. Through this collaboration, Logicom sought to empower its channel partners throughout the extended Middle East, allowing them to deliver HP Poly's advanced remote work as well as office collaboration solutions to their customers. As businesses increasingly adopt flexible work arrangements, this cooperation came at a crucial time to address the rising demand for innovative collaboration solutions that augment remote collaboration and productivity., February 2023 - Abu Dhabi-based Mohamed bin Zayed University introduced a brand-new AI Center of Excellence backed by the consulting and technology power of IBM. This newly released AI Center of Excellence is a crucial part of MBZUAI's ambition to operate at the lead of the AI domain through continuous upskilling and research. The AI Center of Excellence also possesses an outward focus, assisting businesses and governments by improving the overall adoption of AI technology.. Key drivers for this market are: Ongoing Events and Tourism Demanding Automation, Government Policies and PPP Initiatives; Rising Digital Transformation in the Industries. Potential restraints include: High Risk of Data Theft, Heavy Dependence on Oil and Gas Sector. Notable trends are: Communication and Connectivity Component to Hold Major Share.

In Middle East and Africa Artificial Intelligence in Agriculture Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.

The Middle East and Africa region is witnessing a surge in demand for artificial intelligence (AI) and cybersecurity solutions, driven by government initiatives and the growing need to enhance data security. The market size was valued at USD XX million in 2025 and is projected to expand at a CAGR of 20.40% during the forecast period of 2025-2033. This growth is primarily attributed to the increasing adoption of IoT and cloud-based technologies and the growing prevalence of cyberattacks. The Middle East and Africa region is also a significant hub for the oil and gas industry, which is a key driver for the demand for cybersecurity solutions. Major market trends include the growing adoption of cloud-based AI and cybersecurity solutions, the increasing deployment of IoT devices and sensors, and the growing focus on data privacy and protection. Key restraints include the lack of skilled cybersecurity professionals and the high cost of implementation. The market is segmented into hardware, software, and services components, with the software segment holding the largest market share. The IT and telecom, retail, public and government institutions, BFSI, and manufacturing and construction end-user industries are dominant. The Middle East and Africa region includes key markets such as Saudi Arabia, the United Arab Emirates, Israel, Qatar, Kuwait, Oman, Bahrain, Jordan, and Lebanon. Recent developments include: November 2022 - The Saudi Ministry of Finance declared that it permitted two more artificial intelligence companies to operate in the kingdom. QVALON and Faceki thus have business licenses in Saudi Arabia., July 2022 - Liquid C2, a business of Cassava Technologies, a pan-African technology group, opened the doors of its first Cyber Security Fusion Centre (CSFC) in Nairobi, Kenya, making this the 2nd center of its kind in Africa. Clients in Kenya would encounter new cybersecurity services that leverage Microsoft Sentinel and Microsoft Defender - all delivered and constantly monitored without interruption.. Key drivers for this market are: Favorable Governmental Policies and Collaborations Undertaken by Technology Enablers in the Region, Growth in Adoption of IoT in Retail and BFSI Sector; Growing End-user Applications and Need for Real-time Analysis. Potential restraints include: Lack of Standardization for Security of Digital Content. Notable trends are: Rise in the Government initiatives and scalable IT infrastructure.

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Artificial Intelligence Market in the Industrial Sector Size 2024-2028

The artificial intelligence market in the industrial sector size is forecast to increase by USD 29.3 billion at a CAGR of 38.86% between 2023 and 2028.

The artificial intelligence (AI) market in the industrial sector is experiencing significant growth, driven by several key trends. Digital twin technology is gaining traction in industries, enabling real-time monitoring and predictive maintenance of machinery. The emergence of the Industrial Internet of Things (IIoT) is facilitating the integration of AI into industrial processes, enhancing efficiency and productivity. However, the lack of technical knowledge among operators poses a challenge, necessitating the development of user-friendly AI solutions.
Additionally, data security and privacy concerns are becoming increasingly important, requiring strong security measures to protect sensitive industrial data. Overall, the AI market in the industrial sector is poised for substantial growth, driven by these trends and the need to optimize industrial processes and enhance productivity.

What will be the Artificial Intelligence Market Size in the Industrial Sector During the Forecast Period?

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Artificial Intelligence (AI) is revolutionizing the industrial sector with its ability to enhance efficiency, productivity, and accuracy. Big data and AI are at the heart of this transformation, with machine learning algorithms enabling real-time monitoring and predictive maintenance of industrial machines. Speech processing and natural language processing are key components of AI, enabling seamless communication between humans and smart machines. Generative AI and computer vision are driving innovation in areas such as quality control and supply chain optimization. Intelligent robotics are being integrated into manufacturing processes to automate repetitive tasks and improve overall production. Technology and communication are being transformed by AI, with chatbots and AI art generators enabling new forms of content creation.
Additionally, federated learning and explainable AI are emerging trends, enabling decentralized machine learning and improving the transparency and interpretability of AI systems. Decision-making is being enhanced through AI, with real-time data analysis and predictive analytics enabling more informed decisions. Edge AI is also gaining traction, enabling AI processing at the edge of the network for faster response times and reduced latency. Overall, AI is set to continue transforming the industrial sector, with applications ranging from quality control to supply chain optimization and intelligent robotics.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Remote monitoring and predictive maintenance
  Supply chain management
  Production planning
  Quality control
  Others


End-user

  Process industries
  Discrete industries


Geography

  North America

    US


  APAC

    China


  Europe

    Germany
    UK


  Middle East and Africa



  South America

By Application Insights

The remote monitoring and predictive maintenance segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) is revolutionizing the industrial sector by enhancing efficiency, productivity, and safety. Big Data, machine learning, speech processing, generative AI, robotics, computer vision, and natural language processing are some of the key technologies driving this transformation. In industrial machines and smart machines, AI enables real-time monitoring, predictive maintenance, and process optimization. Computer vision and machine learning are used for quality control, supply chain optimization, and intelligent robotics. Autonomous vehicles and guided systems are revolutionizing transportation and logistics, while energy management and human-machine interfaces are transforming the energy sector. AI-powered virtual assistants, deep learning search algorithms, and recommendation systems are disrupting financial services, healthcare, and travel and hospitality.

Moreover, AI is essential for cybersecurity, energy management, and process optimization in various industries. With the proliferation of IoT devices, AI is becoming increasingly important for central processing units and semiconductor manufacturing. The adoption of AI solutions is expected to reduce maintenance costs, minimize safety hazards, and enhance overall operational excellence.

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The remote monitoring and predictive maintenan