The Saudi Arabia artificial intelligence in manufacturing market size reached USD 48.76 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 702.37 Million by 2033, exhibiting a growth rate (CAGR) of 31.60% during 2025-2033. The market is growing due to Saudi Arabia’s adoption of AI in manufacturing, driven by Vision 2030, Industry 4.0 advancements, and sustainability goals, enhancing automation, efficiency, and resource optimization while strengthening industrial competitiveness, streamlining supply chains, and supporting eco-friendly manufacturing practices for long-term economic diversification.
Report Attribute
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Key Statistics
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Base Year
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2024 |
Forecast Years
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2025-2033
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Historical Years
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2019-2024
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Market Size in 2024 | USD 48.76 Million |
Market Forecast in 2033 | USD 702.37 Million |
Market Growth Rate (2025-2033) | 31.60% |
Economic Diversification
A primary motivator for AI adoption in Saudi Arabia's manufacturing industry is the government's Vision 2030 plan, aimed at decreasing oil reliance by growing the manufacturing and technology fields. Vision 2030 offers a strategic plan for updating and diversifying the national economy, identifying AI as a crucial technology for realizing this change. In 2024, Saudi Arabia established the AI Center for Manufacturing and Mining to enhance national skills in artificial intelligence, supporting its ambition to emerge as a top industrial leader. Revealed at the Global Smart City Forum in Riyadh, this initiative backed the Kingdom's goals to grow its industrial sector and improve its logistics footprint. By integrating these AI-enhanced investments into its manufacturing operations, Saudi Arabia aimed to boost its industrial production, thus establishing itself as a strong competitor in the worldwide market.
Favorable Investments in Industry 4.0 Technologies
Saudi Arabia’s manufacturing sector is adopting Industry 4.0, which focuses on leveraging advanced digital technologies such as AI, robotics, IoT, and data analytics. This transition enhances operational efficiency, optimizes decision-making, and streamlines supply chains, driving greater productivity across the industry. For instance, in 2024, Saudi Arabia plans to launch "Project Transcendence," an ambitious $100 billion AI initiative to develop infrastructure and attract tech talent, positioning the Kingdom as a leading Middle Eastern technology hub. This initiative focused on accelerating Industry 4.0 technologies, including automation, advanced robotics, smart manufacturing, and the Internet of Things (IoT). By integrating AI-driven insights and intelligent systems, Project Transcendence aimed to transform traditional industries, enhance operational efficiencies, and enable data-driven decision-making.
Commitment to Environmental Sustainability
Saudi Arabia’s focus on sustainability, as part of Vision 2030, is another significant driver of AI adoption in manufacturing. The Kingdom has set ambitious sustainability goals, including reducing carbon emissions and minimizing waste. AI can play a crucial role in meeting these objectives by optimizing resource allocation, monitoring environmental impact, and enabling more efficient energy use. For instance, in 2023, NEOM invested USD 100 million through the NEOM Investment Fund (NIF) in Pony.ai, advancing sustainable development by integrating autonomous driving and AI-driven manufacturing solutions within its smart, eco-friendly infrastructure. This commitment to sustainability enhanced the country’s environmental credentials and appeals to global investors and customers who prioritize green and eco-friendly manufacturing practices.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the regional level for 2025-2033. Our report has categorized the market based on component, technology, application, and end-use.
Component Insights:
The report has provided a detailed breakup and analysis of the market based on the component. This includes hardware, software, and services.
Technology Insights:
A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes machine learning, computer vision, context awareness, and natural language processing.
Application Insights:
The report has provided a detailed breakup and analysis of the market based on the application. This includes material movement, predictive maintenance & machinery inspection, production planning, field services, quality control and reclamation, and others.
End-Use Insights:
A detailed breakup and analysis of the market based on the end-use have also been provided in the report. This includes semiconductor and electronics, energy and power, medical devices, automobile, heavy metal and machine manufacturing, and others.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Northern and Central Region, Western Region, Eastern Region, and Southern Region.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Million USD |
Scope of the Report |
Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Components Covered | Hardware, Software, Services |
Technologies Covered | Machine Learning, Computer Vision, Context Awareness, Natural Language Processing |
Applications Covered | Material Movement, Predictive Maintenance & Machinery Inspection, Production Planning, Field Services, Quality Control and Reclamation, Others |
End-Uses Covered | Semiconductor and Electronics, Energy and Power, Medical Devices, Automobile, Heavy Metal and Machine Manufacturing, Others |
Regions Covered | Northern and Central Region, Western Region, Eastern Region, Southern Region |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
Key Questions Answered in This Report:
Key Benefits for Stakeholders: