Saudi Arabia AI in Smart Manufacturing Market Size, Share, Trends and Forecast by Component, Technology Type, Deployment Mode, Enterprise Size, Functionality, Application, Industry Vertical, and Region, 2025-2033

Saudi Arabia AI in Smart Manufacturing Market Size, Share, Trends and Forecast by Component, Technology Type, Deployment Mode, Enterprise Size, Functionality, Application, Industry Vertical, and Region, 2025-2033

Report Format: PDF+Excel | Report ID: SR112025A42308

Saudi Arabia AI in Smart Manufacturing Market Overview:

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%


Saudi Arabia AI in Smart Manufacturing Market Trends:

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.

Saudi Arabia AI in Smart Manufacturing Market Segmentation:

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:

  • Hardware
    • AI Processors and Chips
    • Robotics and Automation Equipment
    • Sensors and IoT Devices
    • Networking Hardware
    • Others
  • Software
    • AI Platforms and Frameworks
    • Predictive Analytics
    • Visual Inspection
    • Robotics Control
    • Digital Twin
    • Others
  • Services
    • Consulting
    • System Integration and Implementation
    • Maintenance and Support
    • Others

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:

  • Machine Learning (ML)
  • Computer Vision
  • Natural Language Processing (NLP)
  • Robotics and Automation
  • Internet of Things (IoT) integrated with AI
  • Others

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:

  • Cloud-Based
  • On-Premises
  • Hybrid

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:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

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:

  • Planning and Scheduling
  • Product Design and Customization
  • Workforce Management

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:

  • Predictive Maintenance and Machine Monitoring
  • Quality Control and Inspection
  • Supply Chain Optimization
  • Process Automation
  • Energy Management
  • Others

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:

  • Automotive
  • Chemical and Petrochemicals
  • Food and Beverages
  • Metals and Machinery
  • Electronics and Semiconductor
  • Others

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:

  • Northern and Central Region
  • Western Region
  • Eastern Region
  • Southern Region

The report has also provided a comprehensive analysis of all the major regional markets, which include Northern and Central, Western, Eastern, and Southern Region.

Competitive Landscape:

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.

Saudi Arabia AI in Smart Manufacturing Market News:

  • In June 2025, Saudi Arabia’s Ministry of Industry and Mineral Resources launched the Advanced Manufacturing and Production Center (AMPC) to accelerate adoption of Fourth Industrial Revolution technologies, including AI, robotics, and automation. Supported by entities like MCIT, NIDLP, and RDIA, the AMPC integrates initiatives such as the Future Factories Program and Industrial Lighthouse Program. Ten national companies have already committed to transformation roadmaps, positioning the Kingdom as a global hub for advanced and sustainable manufacturing.
  • In May 2025, Saudi Arabia and NVIDIA partnered to build AI factories, advancing the Kingdom’s Vision 2030 ambitions to become a global AI leader. Through HUMAIN, a PIF subsidiary, large-scale AI infrastructure will be developed, including an 18,000-GPU supercomputer and Omniverse Cloud for digital twins. SDAIA and Aramco Digital will collaborate with NVIDIA to strengthen sovereign AI, train talent, and drive innovations across energy, manufacturing, and logistics, boosting efficiency, sustainability, and global competitiveness.

Saudi Arabia AI in Smart Manufacturing Market Report Coverage:

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:

  • Component
  • Technology Type
  • Deployment Mode
  • Enterprise Size
  • Functionality
  • Application
  • Industry Vertical
  • Region
Components Covered
  • Hardware: AI Processors and Chips, Robotics and Automation Equipment, Sensors and IoT Devices, Networking Hardware, Others
  • Software: AI Platforms and Frameworks, Predictive Analytics, Visual Inspection, Robotics Control, Digital Twin, Others
  • Services: Consulting, System Integration and Implementation, Maintenance and Support, Others
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:

  • How has the Saudi Arabia AI in smart manufacturing market performed so far and how will it perform in the coming years?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of component?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of technology type?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of deployment mode?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of enterprise size?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of functionality?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of application?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of industry vertical?
  • What is the breakup of the Saudi Arabia AI in smart manufacturing market on the basis of region?
  • What are the various stages in the value chain of the Saudi Arabia AI in smart manufacturing market? 
  • What are the key driving factors and challenges in the Saudi Arabia AI in smart manufacturing market?
  • What is the structure of the Saudi Arabia AI in smart manufacturing market and who are the key players?
  • What is the degree of competition in the Saudi Arabia AI in smart manufacturing market? 

Key Benefits for Stakeholders:

  • IMARC’s industry report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the Saudi Arabia AI in smart manufacturing market from 2019-2033.
  • The research report provides the latest information on the market drivers, challenges, and opportunities in the Saudi Arabia AI in smart manufacturing market.
  • Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the Saudi Arabia AI in smart manufacturing industry and its attractiveness.
  • Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.

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Saudi Arabia AI in Smart Manufacturing Market Size, Share, Trends and Forecast by Component, Technology Type, Deployment Mode, Enterprise Size, Functionality, Application, Industry Vertical, and Region, 2025-2033
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