Market Size – The AI in logistics and supply chain management market size has grown exponentially in recent years. It will grow from $2.84 billion in 2023 to $4.03 billion in 2024 at a compound annual growth rate (CAGR) of 42.1%. 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 $16.56 billion in 2028 at a compound annual growth rate (CAGR) of 42.3%. The growth in the forecast period can be attributed to augmented reality and virtual reality integration, blockchain for supply chain transparency, multi-modal transportation 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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Scope Of AI In Logistics And Supply Chain Management MarketThe Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
AI In Logistics And Supply Chain Management Market Overview
Market Drivers -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, 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.
Market Trends – 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.
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, Transportation Management, Order Fulfillment, Demand Forecasting, Inventory Optimization, Supply Chain Planning, Other Applications
5) By End User: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Other End Users
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Regional Insights – 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.
Key Companies – 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
Table of Contents 1. Executive Summary2. AI In Logistics And Supply Chain Management Market Report Structure3. AI In Logistics And Supply Chain Management Market Trends And Strategies4. AI In Logistics And Supply Chain Management Market – Macro Economic Scenario5. AI In Logistics And Supply Chain Management Market Size And Growth…..27. AI In Logistics And Supply Chain Management Market Competitor Landscape And Company Profiles28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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