AI In Logistics And Supply Chain Management Market Production Analysis, Advancement Strategy And Forecast To 2033

Overview and Scope

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.

Sizing and Forecast

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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Segmentation & Regional Insights

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

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.

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Major Driver Impacting Market Growth

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.

Key Industry Players

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

The ai in logistics and supply chain management market report table of contents includes:
1. Executive Summary

2. Market Characteristics
3. Market Trends And Strategies
4. Impact Of COVID-19
5. Market Size And Growth
6. Segmentation
7. Regional And Country Analysis

………..

27. Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis

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