ai in logistics and supply chain management market share, ai in logistics and supply chain management market trends, ai in logistics and supply chain management market growth, ai in logistics and supply chain management market analysis, ai in logistics and supply chain management market size, global ai in logistics and supply chain management market
What are the latest figures on the ai in logistics and supply chain management market’s size and projected CAGR?
The AI in logistics and supply chain management market size has grown exponentially in recent years. It will grow from $4.03 billion in 2024 to $5.75 billion in 2025 at a compound annual growth rate (CAGR) of 42.6%. The growth in the historic period can be attributed to cost pressures and efficiency demands, talent shortages and skills gaps, the rise of just-in-time inventory management, regulatory changes, and trade agreements, and geopolitical instability.
The AI in logistics and supply chain management market size is expected to see exponential growth in the next few years. It will grow to $23.54 billion in 2029 at a compound annual growth rate (CAGR) of 42.2%. The growth in the forecast period can be attributed to augmented reality and virtual reality integration, blockchain for supply chain transparency, multi-modal Transport & Logisticsation optimization, natural language processing for supply chain insights, and hybrid workforce collaboration. Major trends in the forecast period include integration of AI with IoT and big data, focus on predictive analytics and forecasting, demand for cloud-based AI solutions, focus on sustainability and green logistics, and investments in research and development.
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Which Market drivers have played a significant role in driving the ai in logistics and supply chain management market?
The growing e-commerce industry is expected to propel the growth of the AI in logistics and supply chain management market going forward. The e-commerce industry encompasses the business sector that involves the buying and selling goods and services conducted primarily through electronic means, such as the Internet, mobile apps, or other digital platforms. The e-commerce industry is driven by convenience, expanding internet access, and shifting consumer preferences toward online shopping. AI enhances e-commerce logistics and supply chain management by forecasting demand, fine-tuning inventory management, optimizing delivery routes, reducing costs, and increasing customer satisfaction. For instance, in February 2024, according to the United States Census Bureau, a US-based government agency, e-commerce sales reached $1,118.7 billion in 2023, marking a 7.6% (±1.2%) increase from 2022. Further, e-commerce sales constituted 15.4% of total sales in 2023, compared to 14.7% in 2022. Therefore, the growing e-commerce industry is driving the growth of the AI in logistics and supply chain management market.
What are the key segments within the ai in logistics and supply chain management market?
The AI in logistics and supply chain management market covered in this report is segmented –
1) By Offering: Solution, Services
2) By Type: Artificial Intelligence (AI), Machine Learning, Robotics Process Automation (RPA), Natural Language Processing (NLP)
3) By Deployment: Cloud-Based, On-Premise
4) By Application: Warehouse Management, Transport & Logisticsation Management, Order Fulfillment, Demand Forecasting, Inventory Optimization, Supply Chain Planning, Other Applications
5) By End User: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Other End Users
Subsegments:
1) By Solution: AI Software, AI Platforms, AI Tools For Automation, AI-Based Analytics
2) By Services: Consulting Services, Integration And Implementation Services, Managed Services, Support And Maintenance Services
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Which key players are shaping the ai in logistics and supply chain management market?
Major companies operating in the AI in logistics and supply chain management market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., General Electric Company, International Business Machines Corporation, Oracle Corporation, SAP SE, Zebra Technologies Corp., Databricks Inc., Manhattan Associates Inc., o9 Solutions Inc., Locus, Trax Technologies Ltd., SenseTime, Project44, FourKites Inc., Turvo Inc., Everstream Analytics, GreyOrange Pte. Ltd., Elementum Ltd., Ambi Robotics, ClearMetal Inc., Aurrigo International Plc, Nexocode
Which transformative trends will shape the ai in logistics and supply chain management market landscape?
Major companies operating in the AI in logistics and supply chain management markets are developing technologically advanced products, such as AI-based supply chain management tools, to enhance efficiency and sustainability in operations. AI-based supply chain management tools leverage artificial intelligence to optimize various aspects of the supply chain, from planning and forecasting to logistics and customer service. For instance, in December 2023, Blue Yonder Group Inc., a US-based supply chain management company, launched the Blue Yonder Orchestrator, a state-of-the-art tool that utilizes artificial intelligence to optimize decision-making processes and improve supply chain orchestration. The tool’s standout feature is its ability to enable business users to instantly access recommendations, predictive insights, and intelligent decisions, ensuring the best possible outcomes for their supply chain. This innovative capability combines large language models (LLMs), cloud data, and rapid engineering to provide personalized recommendations for supply chain decisions.
How do regional factors impact the ai in logistics and supply chain management market, and which region is the largest contributor?
North America was the largest region in the AI in logistics and supply chain management market in 2023. The regions covered in the AI in logistics and supply chain management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The AI in Logistics And Supply Chain Management Market Report 2025 Offer?
The ai in logistics and supply chain management market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
AI in logistics and supply chain management refers to the process of using artificial intelligence technologies to optimize and automate various processes within the supply chain, from raw material sourcing to final delivery. It encompasses various activities to improve operational performance and customer satisfaction while reducing costs and mitigating risks.
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