The Saudi Arabia Big Data and Artificial Intelligence Market Report is Segmented by Solutions (Hardware, Software, Service), Organization Size (SMEs, Large Enterprises), and End User (IT and Telecom, Retail, Public and Government Institutions, BFSI, Healthcare, Energy, Construction and Manufacturing, and Other End Users). The Market Size and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Saudi Arabia big data and artificial intelligence market size reached approximately USD 1.30 Billion in 2024. The market is projected to grow at a CAGR of 29.80% between 2025 and 2034, reaching a value of around USD 17.65 Billion by 2034.

Saudi Arabia Artificial Intelligence (AI) Market By Size, Share, Trends, Growth, Forecast 2018-2028, Segmented By Component, By Technology, By Application, By Enterprise Size, By Industry Vertical, By Region, Competition Forecast and Opportunities

Saudi Arabia Big Data And Artificial Intelligence Market size was valued at USD 0.42 Billion in 2024 and is expected to reach USD 3.56 Billion by 2032, growing at a CAGR of 30.6% from 2026 to 2032.

Saudi Arabia Big Data And Artificial Intelligence Market: Definition/ Overview

In Saudi Arabia, big data and artificial intelligence (AI) refer to the use of advanced analytics, machine learning, and automation to handle massive volumes of data to make better decisions. These technologies are widely used in several industries, including healthcare for predictive diagnosis, finance for fraud detection, retail for tailored marketing, and smart cities like NEOM for efficient urban planning. Government initiatives, such as the Saudi Data and AI Authority (SDAIA), are hastening AI adoption across industries to improve efficiency and creativity.

The Saudi Arabian Big Data and Artificial Intelligence (AI) market is experiencing robust growth, projected to reach a market size of $0.38 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 34.24% from 2019 to 2033. This expansion is fueled by several key drivers. The Saudi Vision 2030 initiative, focusing on economic diversification and digital transformation, is a significant catalyst. Increased government investment in digital infrastructure, coupled with the rising adoption of AI and big data technologies across diverse sectors such as BFSI (Banking, Financial Services, and Insurance), healthcare, and telecommunications, is driving market growth. Furthermore, the growing availability of skilled professionals and the increasing awareness of the benefits of big data and AI analytics are contributing to market expansion. Challenges remain, however. Data privacy concerns and a potential shortage of specialized talent could pose constraints on the market's trajectory. Nevertheless, the overall outlook for the Saudi Arabian Big Data and AI market remains exceptionally positive, indicating significant potential for further growth and innovation throughout the forecast period (2025-2033). The market segmentation reveals that the hardware component currently holds a dominant share, reflecting the initial investment required for infrastructure development. However, the software and services segments are anticipated to witness substantial growth in the coming years, driven by increasing demand for AI-powered applications and analytical solutions. Large enterprises, with their greater resources and technological adoption capabilities, currently lead in market share, but the SME segment is expected to exhibit accelerated growth as the cost of entry for AI and big data solutions continues to decrease. Geographically, the market is largely concentrated in major urban centers, reflecting the higher level of technological advancement and infrastructure development in those areas. Key players like Microsoft, Nvidia, Amazon Web Services, and others are actively competing in this dynamic market, driving innovation and deployment of cutting-edge technologies. The market’s continued growth hinges on sustained government support, private sector investment, and the continued development of a robust talent pool to support the evolving technological landscape. Recent developments include: • April 2024 - Noventiq Holdings PLC, a provider of digital transformation and cybersecurity solutions and services, announced a venture with Al-Suwaiket Group (a conglomerate with diversified interests in energy, construction, and technology) to fulfill Noventiq's vision of expansion across Saudi Arabia. This alliance focussed on Noventiq's growth strategy for market, portfolio, and sales channel expansion. This venture amplifies the digital capabilities of Saudi companies by offering services in cybersecurity and Data & AI, which includes Noventiq's proprietary AI solutions like Weaver AI, Fintense, and Selecta., • July 2023 - Lunit, a provider of AI-powered cancer diagnostics and therapeutics solutions, announced market expansion across the Middle East with a new supply contract. The company announced a collaboration with Dr. Sulaiman Al Habib Medical Group (HMG), Kingdom of Saudi Arabia. Under this partnership, Lunit supplied an AI solution for mammography analysis to Dr. Sulaiman Al Habib Medical Group for the next three years. Lunit and Cloud Solutions also integrated their capabilities to enhance Lunit's AI-powered solutions based on Cloud Solution's advanced cloud AI platform., . Key drivers for this market are: Smart City Initiatives and Rapid Rise in the Flow of Unstructured Data Due to Mass Deployment of Sensors​, Adoption of Digital Transformation Technologies in the Enterprises; Favorable Governmental Policies for Inclusions of AI. Potential restraints include: Smart City Initiatives and Rapid Rise in the Flow of Unstructured Data Due to Mass Deployment of Sensors​, Adoption of Digital Transformation Technologies in the Enterprises; Favorable Governmental Policies for Inclusions of AI. Notable trends are: Hardware Sector is Likely to Witness a Major Growth.

Saudi Arabia 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 Saudi Arabia Artificial Intelligence Market size was valued at USD 1.30 billion in 2023 and is projected to reach USD 13.58 billion by 2032, exhibiting a CAGR of 42.6 % during the forecasts period. It also provides a brief on the Saudi Arabia artificial intelligence market which is gradually emerging due to the governments Vision 2030 that seeks to reduce the dependancy of the country’s economy on the oil and gas sector as well as encourage the use of technology in different fields. AI is the category of technologies interested in the ability of machines to mimic human thought processes specifically machine learning, natural language processing, and robotics. Applications cover smart city solutions, better healthcare system, the effectiveness of oil and gas industry, and customer service in banking and retail areas in Saudi Arabia. It is a versatile software, the main areas of its application being government, healthcare, energy/telecom, and finance. New trends in the market are evident in getting deeper in AI and extending its research, outsourcing with global technology companies, and incorporating AI with IoT for enhanced data assortment and operation. Given that Saudi has started adopting the digital agenda to define its future prosperity, it is clear that AI market will be significant in the kingdom’s future economy. Recent developments include: In January 2024, Intel collaborated with Aramco Digital to establish Saudi Arabia’s inaugural Open RAN (radio access network) Development Center. The two behemoths are developing private 5G (for the industrial sector) to foster digital transformation in the Kingdom. , In November 2023, Microsoft CEO Satya Nadella asserted that Saudi companies’ efforts toward AI had fueled innovation, bolstered their productivity, and created new economic opportunities. The Chairman exhorted that speech-to-text solutions have been helping clinicians at King Faisal Hospital to minimize documentation errors, bolster their productivity, and spend more time with patients. .

Saudi Arabia AI Market is expected to grow at remarkable CAGR of 17.5% during 2025-2032 due to growing digital transformation and government initiatives

Saudi Arabia Artificial Intelligence(AI) in Military Market has valued at USD 14.38 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 11.99% through 2029.

In Saudi Arabia 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%

Saudi Arabia AI in Manufacturing Market was valued at USD 205 million in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 34.5% through 2029.

Saudi Arabia Big Data and Artificial Intelligence Market valued at USD 1.3 Bn, driven by digital transformation, government initiatives like NSDAI with USD 20 Bn investment, and smart city projects in Riyadh and Jeddah.

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

Explore the Saudi Arabia AI Robots Market, projected to grow at a CAGR of 6.10% during 2025-2032, with a market value of approximately USD 19.2 billion in 2032.

The MENA Artificial Intelligence Market size was valued at USD 18.03 billion in 2023 and is projected to reach USD 240.64 billion by 2032, exhibiting a CAGR of 44.8 % during the forecasts period. The MENA (Middle East and North Africa) artificial intelligence (AI) market is rapidly growing, driven by increasing investments and adoption across various sectors. Governments in the region, particularly in the UAE and Saudi Arabia, are prioritizing AI integration to boost economic diversification and innovation. Key industries such as healthcare, finance, and retail are leveraging AI for enhanced efficiency and customer experiences. The market is also benefiting from partnerships with global tech companies and a rising number of local AI startups. The MENA Artificial Intelligence (AI) market is flourishing, driven by the confluence of factors: Recent developments include: In April 2023, H20.ai announced a strategic partnership with GeoTechnologies, a provider of map data & location information solutions for vehicle navigation systems. The company has leveraged H20.ai’s H2O AI Cloud to develop an AI-powered platform that uses onboard camera footage for gauging sidewalk safety, In March 2023, Enlitic introduced the latest release of Enlitic Curie, a platform that makes it easy for radiology departments to manage their workflow. The platform hosts Curie|ENDEX, which utilizes NLP and computer vision for the analysis & processing of medical images, and Curie|ENCOG, which leverages AI to identify and protect Protected Health Information, In September 2022, The Saudi Company for Artificial Intelligence (SCAI), owned by the Public Investment Fund in Saudi Arabia, for developing artificial intelligence applications, collaborated with the Saudi Technology and Security Comprehensive Control Company, a company in the fields of security, safety, and technology to develop the super-computing capabilities and AI infrastructure, which is crucial to power the next generation of AI applications.

Machine learning holds the highest revenue share in the United Arab Emirates' AI market, reaching about ****** 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 ** 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.

Gain insights into the KSA AI in Healthcare Market, size at USD 120 million in 2023, showcasing industry trends and future outlook.

Saudi Arabia Artificial Intelligence (AI) Chip Market is set for rapid growth, driven by increasing demand for AI-powered applications across industries.

Gain insights into the KSA Big Data and Artificial Intelligence Market size at USD USD 361 million in 2023, featuring Market Share & Growth, Market Forecasts & Outlook, and Strategic Insights.

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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