The Saudi Arabia AI in smart manufacturing market size is projected to exhibit a growth rate (CAGR) of 42.69% during 2025-2033. The market is driven by the country’s push to diversify its economy and embrace Industry 4.0 technologies. Government initiatives promote artificial intelligence (AI) adoption and digital transformation across manufacturing sectors, enhancing automation, efficiency, and data-driven decision-making. Investments in AI infrastructure, partnerships with global technology providers, and workforce upskilling support innovation and capability development. Increasing awareness of the benefits of AI, combined with a focus on smart factories and predictive maintenance, further bolstering Saudi Arabia AI in smart manufacturing market share along with the rising adoption and strengthens the nation’s competitive manufacturing landscape.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Growth Rate 2025-2033 | 42.69% |
Strengthening AI Infrastructure and Global Collaboration
AI implementation in smart manufacturing in Saudi Arabia is being spurred by substantial investment in digital infrastructure and international partnerships. The Kingdom has invested more than SAR 55 billion (approximately USD 15 billion) in AI technology and data center growth, which boosted national capacity by 42% to 290.5 megawatts in 2024. The robust infrastructure forms the backbone for AI-powered solutions across sectors like petrochemicals, metals, and electronics. Partnerships with global technology leaders provide local manufacturers with access to state-of-the-art tools, knowledge, and innovation, allowing them to digitalize rapidly. Such partnerships not only provide leading-edge solutions but also share knowledge that enhances local innovation environments. With robust infrastructure in place, manufacturers can use predictive analytics, digital twins, and automation to enhance efficiency and productivity. Efforts like these make Saudi Arabia a competitive source of AI-driven industrial innovation globally.
Vision 2030 and Economic Diversification
Another major Saudi Arabia AI in smart manufacturing trend is the Vision 2030 serving as a strategic foundation. The vision focuses on diminished dependence on oil through encouragement of innovation and development of non-oil sectors, especially manufacturing. Through the use of AI technologies in production processes, the Kingdom hopes to increase the efficiency of operations, improve product quality, and develop globally competitive industry. The government's commitment to technological transformation encourages industries to embrace automation, robotics, and data-driven decision-making. The vision also reinforces sustainability and the development of smart factories, allowing domestic industries to be up to international standards. The emphasis on diversification is aimed at ensuring that manufacturing not only drives the economy but also sustains innovation ecosystems and global collaboration. Finally, Vision 2030 fuels AI adoption by linking industrial modernization to national interests, making the Kingdom's manufacturing base develop into a dynamic thus supporting the Saudi Arabia AI in smart manufacturing growth.
Workforce Development and Skill Transformation
A highly skilled workforce is at the heart of AI success in smart manufacturing, and Saudi Arabia is laying strong focus on talent development to make this a reality. Workforce upskilling is picking up pace with programs such as the "Waad" National Training Campaign that has already offered more than 1 million training opportunities with the goal of reaching three million by 2025. Educational programs and industry collaborations are also equipping graduates and professionals in AI, robotics, data science, and digital manufacturing. Partnership with top international technology companies guarantees knowledge transfer and access to state-of-the-art tools, in addition to enabling the current workforce to suit up for automation and move up into more value-added jobs. Such a human capital approach fills skills gaps, encourages local innovation, and promotes a culture of perpetual learning, and thereby guarantees long-term sustainability and competitiveness for Saudi Arabia's AI manufacturing sector.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country and regional levels for 2025-2033. Our report has categorized the market based on component, technology type, deployment mode, enterprise size, functionality, application, and industry vertical.
Component Insights:
The report has provided a detailed breakup and analysis of the market based on the component This includes hardware (AI processors and chips, robotics and automation equipment, sensors and IoT devices, networking hardware, and others), software (AI platforms and frameworks, predictive analytics, visual inspection, robotics control, digital twin, others), and services (consulting, system integration and implementation, maintenance and support, and others).
Technology Type Insights:
A detailed breakup and analysis of the market based on the technology type have also been provided in the report. This includes machine learning (ML), computer vision, natural language processing (NLP), robotics and automation, internet of things (IoT) integrated with AI, and others.
Deployment Mode Insights:
The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes cloud-based, on-premises, and hybrid.
Enterprise Size Insights:
A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes small and medium-sized enterprises (SMEs) and large enterprises.
Functionality Insights:
The report has provided a detailed breakup and analysis of the market based on the functionality. This includes planning and scheduling, product design and customization, and workforce management.
Application Insights:
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes predictive maintenance and machine monitoring, quality control and inspection, supply chain optimization, process automation, energy management, others.
Industry Vertical Insights:
The report has provided a detailed breakup and analysis of the market based on the industry vertical. This includes automotive, chemical and petrochemicals, food and beverages, metals and machinery, electronics and semiconductor, and others.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Northern and Central, Western, Eastern, 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 |
---|---|
Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Billion USD |
Scope of the Report |
Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
|
Components Covered |
|
Technology Types Covered | Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Robotics and Automation, Internet of Things (IoT) integrated with AI, Others |
Deployment Modes Covered | Cloud-Based, On-Premises, Hybrid |
Enterprise Sizes Covered | Small and Medium-sized Enterprises (SMEs), Large Enterprises |
Functionalities Covered | Planning and Scheduling, Product Design and Customization, Workforce Management |
Applications Covered | Predictive Maintenance and Machine Monitoring, Quality Control and Inspection, and Supply Chain Optimization, Process Automation, Energy Management, Others |
Industry Verticals Covered | Automotive, Chemical and Petrochemicals, Food and Beverages, Metals and Machinery, Electronics and Semiconductor, 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: