The Saudi Arabia AI in logistics & supply chain market size is projected to exhibit a growth rate (CAGR) of 42.36% during 2025-2033. The market is witnessing significant growth, driven by rising demand for automation, predictive analytics, and real-time tracking to enhance efficiency and reduce costs. Increasing investments in smart infrastructure and digital transformation initiatives are further accelerating adoption. AI-enabled solutions are helping companies optimize inventory, streamline operations, and enhance decision-making, and these advancements are expected to significantly strengthen the Saudi Arabia AI in logistics & supply chain market share.
Report Attribute
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Key Statistics
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Base Year
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2024
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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 Growth Rate 2025-2033 | 42.36% |
Automation in Warehousing
Automation in warehousing is becoming a significant trend that is transforming logistics operations in Saudi Arabia. The use of AI-driven robotics, automated picking systems, and intelligent sorting solutions is on the rise, aimed at enhancing accuracy, minimizing manual labor, and speeding up fulfillment processes. For instance, in May 2025, Swisslog presented its advanced automation technologies, including the AutoStore multi-temperature solution at the Saudi Warehousing & Logistics Expo in Riyadh. The event is in line with Saudi Arabia's Vision 2030, which seeks to boost logistics innovation as the sector adapts to the increasing demands of e-commerce. With the rise in e-commerce and growing demands, warehouses are adopting of AI-driven solutions in order for faster deliveries in order for them to efficiently handle high-volume tasks. The technologies improve the accuracy and also track the products at real-time. This tracking provides for a greater overall visibility as well as it provides for control. Warehouse management systems integrate AI thus predicting when equipment needs maintenance, so operations are smooth and cost-effective. It is something that AI-powered warehouse automation will likely remain as central for effective supply chain management given Saudi Arabia's emphasis on digital transformation as on smart infrastructure. This emphasis on cutting-edge technologies greatly supports Saudi Arabia AI in logistics & supply chain market growth.
Real-Time Tracking and Visibility
Real-time tracking and visibility are revolutionizing logistics operations in Saudi Arabia by enhancing transparency and control across the supply chain. Platforms powered by AI enable companies to oversee shipments throughout their journey, providing immediate updates on location, condition, and delivery schedules. For instance, in April 2025, IAJEX Logistics launched the AJEX Mobile App to enhance customer experience in delivery services. The app features real-time and live shipment tracking, customizable delivery options, and easy access to customer support. This results in enhanced operational effectiveness as well as reducing the chances of delays, theft, or damage. Route optimization using AI locates the shortest delivery routes with regard to traffic patterns, weather conditions, as well as fuel consumption. Additionally, real-time data enables logistics managers to respond quickly and decisively to unplanned disruptions for guaranteed service. These technological innovations are particularly important as Saudi Arabia grows its trade and logistics centers as part of its economic diversification program. Through enhanced precision, speed, and customer fulfillment, AI-powered tracking solutions are emerging as an important contributor to Saudi Arabia's growth in the market for AI in logistics & supply chain.
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, deployment mode, application, and end user.
Component Insights:
The report has provided a detailed breakup and analysis of the market based on the component. This includes Hardware (RFID tags and IoT sensors, robotics and automated guided vehicles, and communication and networking devices), software/platform (AI-powered supply chain management systems, transportation management systems, warehouse management systems, and predictive analytics and optimization tools), and services (consulting and strategy, implementation and integration, and managed services and support).
Technology Insights:
A detailed breakup and analysis of the market based on technology have also been provided in the report. This includes machine learning and deep learning, natural language processing, computer vision, predictive and prescriptive analytics, robotics process automation, and others.
Deployment Mode Insights:
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes cloud-based, on-premises, and hybrid.
Application Insights:
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes warehouse and inventory management, transportation and fleet management, demand forecasting and planning, supply chain visibility and risk management, customer service and experience, and last-mile delivery optimization.
End User Insights:
A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes e-commerce and retail, manufacturing and industrial, automotive and aerospace, food and beverages, healthcare and pharmaceuticals, oil and gas, and third-party logistics (3PL) providers.
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 |
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Technologies Covered | Machine Learning and Deep Learning, Natural Language Processing, Computer Vision, Predictive and Prescriptive Analytics, Robotics Process Automation, Others |
Deployment Modes Covered | Cloud-Based, On-Premises, Hybrid |
Applications Covered | Warehouse and Inventory Management, Transportation and Fleet Management, Demand Forecasting and Planning, Supply Chain Visibility and Risk Management, Customer Service and Experience, Last-Mile Delivery Optimization |
End Users Covered | E-commerce and Retail, Manufacturing and Industrial, Automotive and Aerospace, Food and Beverages, Healthcare and Pharmaceuticals, Oil and Gas, Third-Party Logistics (3PL) Providers |
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: