The Business Research Company’s report on the Amusement Parks Global Market Report 2025 Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the key drivers behind the ai in logistics market’s growth in recent years?
The rising growth of the e-commerce sector is expected to propel the growth of the AI in logistics market going forward. E-commerce refers to the buying and selling of goods or services over the internet and the transfer of data and funds to complete the transactions. The adoption of AI in logistics helps e-commerce businesses streamline their operations and improve efficiency, leading to benefits such as route optimization, supply chain optimization, and personalized shopping recommendations. For instance, in August 2024, according to the U.S. Census Bureau, a US-based government agency, in the US retail e-commerce sales reached $291.6 billion in quarter 2 2024, up 1.3% from Q1 and 6.7% year-over-year. Total retail sales were $1,826.9 billion, increasing 0.5% from Q1 and 2.1% from Q2 2023. Therefore, the rising growth of the e-commerce sector is driving the growth of the AI in logistics market.
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How does the future projection of the ai in logistics market size compare to its historical growth?
The AI in logistics market size has grown exponentially in recent years. It will grow from $18.01 billion in 2024 to $26.34 billion in 2025 at a compound annual growth rate (CAGR) of 46.2%. The growth in the historic period can be attributed to increasing complexity in supply chain networks, rising demand for real-time logistics solutions, advancements in AI and machine learning technologies, growing e-commerce sector, need for efficiency and cost optimization in logistics operations.
The AI in logistics market size is expected to see exponential growth in the next few years. It will grow to $122.51 billion in 2029 at a compound annual growth rate (CAGR) of 46.9%. The growth in the forecast period can be attributed to expansion of autonomous vehicles and drones in logistics, rising demand for predictive analytics in supply chain management, growth of smart warehouses and fulfillment centers, integration of blockchain technology for transparent and secure transactions, increasing focus on sustainability and green logistics. Major trends in the forecast period include adoption of AI-powered route optimization for delivery fleets, development of AI chatbots for customer service and support, emergence of predictive maintenance solutions for logistics assets, utilization of AI for demand forecasting and inventory management, implementation of AI-enabled risk management systems for supply chain resilience.
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Which key players are shaping the future of the ai in logistics market?
Major companies operating in the AI in logistics market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, DHL International GmbH, United Parcel Service, Inc., FedEx Corporation, CEVA Logistics AG, Intel Corporation, IBM Corporation, Oracle Corporation, Kuehne + Nagel International AG, NVIDIA Corporation, XPO Logistics, Inc., Zebra Technologies, HAVI, Infor, Echo Global Logistics, Symbotic, C3 AI, Turvo Inc., project44 Inc., Wise Systems, Inc., Covariant, Cognitivescale Inc., Slync.io Inc., Transportation Applied Intelligence LLC
What trends will propel the growth and evolution of the ai in logistics market?
Major companies operating in the AI in logistics market are focusing on introducing technologically advanced solutions, such as AI-powered supply chain management and orchestration solutions, to increase their profitability in the market. AI-powered supply chain management and orchestration solutions leverage artificial intelligence to streamline and optimize various aspects of the supply chain. For instance, in December 2023, Blue Yonder, an India-based digital supply chain management solutions company, launched Blue Yonder Orchestrator, a new generative AI tool that simplifies supply chain management and orchestration. This new feature combines large language models (LLMs), cloud data, and prompt engineering to recommend supply chain decisions. This AI-powered solution gives business users instant access to advice, forecasts, and intelligent decisions, so they can make the best choices possible and have a positive impact on their supply chain. With so many professionals finding it difficult to retain institutional knowledge in today’s supply chain environment, Blue Yonder Orchestrator can be a useful supply chain assistant that helps businesses enhance intuition by leveraging the value of data to make decisions more quickly and effectively.
Which regions are expected to become dominant players in the ai in logistics market?
North America was the largest region in the AI in logistics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in logistics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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What are the emerging key segments in the ai in logistics market, and how are they evolving?
The AI in logistics market covered in this report is segmented –
1) By Offering: Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision
3) By Application: Self-driving Vehicles And Forklifts, Planning And Forecasting, Machine And Human Collaboration, Automation Of Ordering And Processing
4) By Industry Vertical: Automotive, Food And Beverages, Manufacturing, Healthcare, Retail
Subsegments:
1) By Software: Predictive Analytics Software, Route Optimization Software, Inventory Management Software, Warehouse Management Software
2) By Services: AI Integration Services, Consulting Services, Support And Maintenance Services
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How is the ai in logistics market defined, and what are its core characteristics?
Artificial intelligence in logistics refers to the utilization of machine learning (ML) and algorithms to automate and optimize various aspects of the logistics industry. It is used to automate routine tasks, improve efficiency, reduce costs, and make intelligent decisions.
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