The Business Research Company’s report on the Artificial Intelligence In Supply Chain 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 artificial intelligence in supply chain market’s growth in recent years?
The surge in the rate of penetration of internet users is expected to propel the growth of artificial intelligence in the supply chain market going forward. Internet users have accessed the web in the past three months. With more people using the internet, information is collected and made accessible to all supply chain members online, allowing businesses to check inventory status, warehouse activity, and product movement much more quickly and easily. It enables the prediction of future consumer demand patterns while reducing the costs of overstocking unwanted inventory with the help of artificial intelligence (AI). For instance, in July 2023, according to Statistics Canada, a Canada-based government agency for national statistics, internet usage among Canadians aged 15 and older increased from 92% in 2020 to 95% in 2022. Further, Canadians 75 years of age and older experienced the biggest increase, with 72% in 2022. Therefore, the surge in the rate of penetration of internet users is driving the growth of artificial intelligence in the supply chain market.
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How does the future projection of the artificial intelligence in supply chain market size compare to its historical growth?
The artificial intelligence in supply chain market size has grown exponentially in recent years. It will grow from $4.92 billion in 2024 to $7.19 billion in 2025 at a compound annual growth rate (CAGR) of 46.2%. The growth in the historic period can be attributed to globalization, increasing complexity in supply chain networks, rising customer expectations, growth of e-commerce, demand for real-time information
The artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $30.81 billion in 2029 at a compound annual growth rate (CAGR) of 43.9%. The growth in the forecast period can be attributed to demand for predictive analytics in supply chain management, increasing focus on sustainability, growth of autonomous vehicles in logistics, rise in demand for real-time inventory visibility. Major trends in the forecast period include increasing use of machine learning for demand forecasting, rise of digital twins in supply chain optimization, growth in AI-powered robotic process automation, emphasis on supply chain resilience, adoption of AI-driven chatbots for customer service in logistics.
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Which key players are shaping the future of the artificial intelligence in supply chain market?
Major companies operating in the artificial intelligence in supply chain market include Amazon.com Inc., Google LLC, Samsung Electronics Co Ltd., Microsoft Corporation, DHL Group, FedEx Corporation, General Electric Company, Intel Corporation, The International Business Machines Corp, Oracle Corporation, SAP SE, Micron Technology Inc., NVIDIA Corporation, C.H. Robinson Worldwide Inc., Havi Logistics AS, Cainiao Smart Logistics Network Limited, Zebra Technologies Corporation, Flexport Inc., Xilinx Inc., Echo Global Logistics Inc., Epicor Software Corporation, Blue Yonder Inc., Symbotic LLC, E2open LLC., C3.AI Inc, Relex Solutions Private Limited, DataRobot Inc, Splice Machine Inc., Covariant Inc, Llamasoft Inc.
What trends will propel the growth and evolution of the artificial intelligence in supply chain market?
Technological advancements are a key trend gaining popularity in artificial intelligence in the supply chain market. Major companies operating in the artificial intelligence supply chain market are adopting advanced technologies to sustain their position in the market. For instance, in April 2023, project44, a US-based software development company, launched Movement GPT, the first-ever AI supply chain assistant. Movement GPT can change the supply chain and finally produce an autonomous, self-repairing supply chain by utilizing the abilities of generative AI. With this ground-breaking improvement, visibility into the supply chain now has a highly engaging, natural language interface that makes it simpler than ever for users to obtain crucial data and control their shipments.
Which regions are expected to become dominant players in the artificial intelligence in supply chain market?
North America was the largest region in the artificial intelligence in supply chain market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in supply chain 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 artificial intelligence in supply chain market, and how are they evolving?
The artificial intelligence in supply chain market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision
3) By Application: Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Other Applications
4) By End-User: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-Packaged Goods, Food And Beverages
Subsegments:
1) By Hardware: Sensors And IoT Devices, Edge Computing Devices, Robotics And Automation Equipment
2) By Software: AI-Powered Analytics Platforms, Supply Chain Management Software, Predictive Maintenance Software
3) By Services: Consulting Services, Integration Services, Managed Services And Support
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What defines the structure and scope of the artificial intelligence in supply chain market?
Artificial intelligence in the supply chain refers to the simulation of human intelligence mechanisms to organize and analyze vast amounts of supply chain information, identify trends, and forecast future issues. It is used for inventory optimization and shortage management.
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