AI in Logistics And Supply Chain Management
What market dynamics are playing a key role in accelerating the growth of the ai in logistics and supply chain management market?
The substantial growth of the e-commerce sector is predicted to drive the expansion of the AI in logistics and supply chain management market. The e-commerce sector represents the commercial segments engaged primarily in electronic transactions of goods and services, facilitated through multiple digital platforms such as Internet, mobile applications, and other digital means. This industry’s growth is attributable to the convenience it offers, increased internet access, and consumers’ growing preference for online shopping. Implementing AI greatly improves e-commerce logistics and supply chain management by forecasting demands, fine-tuning inventory administration, optimizing delivery pathing, reducing expenses, and enhancing customer satisfaction. As an example, in February 2024, according to the U.S Census Bureau, a U.S government agency, e-commerce sales hit $1,118.7 billion in 2023, a significant increase of 7.6% (±1.2%) from 2022. Additionally, e-commerce sales represented 15.4% of total sales in 2023, up from 14.7% in 2022. Consequently, the booming e-commerce industry is propelling the expansion of the AI in logistics and supply chain management market.
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How will the growth rate of the ai in logistics and supply chain management market shape industry trends by 2034?
In recent years, the market size of AI in logistics and supply chain management has seen a significant surge. The market is projected to expand from $4.03 billion in 2024 to $5.75 billion in 2025, yielding a compound annual growth rate (CAGR) of 42.6%. The impressive growth during the historic period can be traced back to factors such as the demand for cost-effective processes and streamlined operations, lack of skilled workforce, the proliferation of just-in-time inventory management, alterations in regulatory framework, trade contracts, and geopolitical uncertainty.
The market for AI in logistics and supply chain management is predicted to experience significant expansion in the forthcoming years, anticipated to rise to $23.54 billion by 2029, registering a compound annual growth rate (CAGR) of 42.2%. The projected growth within this period is linked to various factors, such as the integration of augmented reality (AR) and virtual reality (VR), adoption of blockchain for enhanced supply chain transparency, optimisation of multi-modal transportation, application of natural language processing for supply chain insights, and synergistic collaboration of hybrid workforces. Key trends observed during the forecast period are the convergence of AI with IoT and big data, emphasis on predictive analytics and forecasting, increasing demand for cloud-based AI solutions, commitment towards sustainability and green logistics, as well as investment in research and development initiatives.
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What trends are poised to drive the future success of the ai in logistics and supply chain management market?
Prominent enterprises in the AI-powered logistics and supply chain management markets are introducing technology-intensive products such as AI-fuelled supply chain management tools, to boost operational effectiveness and sustainability. These AI-driven tools use artificial intelligence to enhance various elements of the supply chain, from strategic planning and projections to logistics and customer relations. For instance, Blue Yonder Group Inc., a company based in the U.S. with a focus on supply chain management, debuted the Blue Yonder Orchestrator in December 2023. This cutting-edge tool employs artificial intelligence to refine decision-making procedures and bolster supply chain integration. The tool’s distinctive feature allows business professionals to instantly access suggestions, predictive insights, and intelligent decisions, securing the most favourable outcomes for their supply chain. This ground-breaking functionality blends large language models (LLMs), cloud data, and fast engineering to offer customised advice for supply chain choices.
Which primary segments of the ai in logistics and supply chain management market are driving growth and industry transformations?
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
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 geographical regions are pioneering growth in the ai in logistics and supply chain management market?
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.
Who are the influential players reshaping the ai in logistics and supply chain management market landscape?
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
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What Is Covered In The AI in Logistics And Supply Chain Management Global Market Report?
•Market Size Forecast: Examine the ai in logistics and supply chain management market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the ai in logistics and supply chain management market for a structured understanding.
•Key Players Overview: Analyze major players in the ai in logistics and supply chain management market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in logistics and supply chain management market.
•Segment Contributions: Evaluate how different segments drive overall growth in the ai in logistics and supply chain management market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in logistics and supply chain management market.
•Industry Challenges: Identify potential risks and obstacles affecting the ai in logistics and supply chain management market.
•Competitive Landscape: Review strategic developments in the ai in logistics and supply chain management market, including expansions, agreements, and new product launches.
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