Artificial Intelligence In Supply Chain Market Forecast 2025-2034: Evaluating Growth Factors, Segments, and Emerging Trends

How Are the key drivers contributing to the expansion of the artificial intelligence in supply chain market?
The growth of artificial intelligence in the supply chain market is expected to be driven by the rising rate of internet user penetration. Over the past three months, numerous individuals have made use of the internet. The increase in internet use has resulted in the collection of information, which is then made available to all members of the supply chain online. This enables businesses to monitor inventory status, warehouse operations, and product movement more effectively and quickly. It also facilitates the prediction of future consumer demand trends, while minimizing the expenses of overstocking unwanted inventory, courtesy of artificial intelligence (AI). For instance, as per Statistics Canada, a government agency conducting national statistics in Canada, there was an increase in internet use from 92% in 2020 to 95% in 2022 among Canadians aged 15 and older, as of July 2023. Moreover, the most significant increase was reported among Canadians aged 75 and older, at 72% in 2022. As a result, the expanding rate of internet user penetration is playing a crucial role in accelerating the growth of artificial intelligence in the supply chain market.

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What growth opportunities are expected to drive the artificial intelligence in supply chain market's CAGR through 2034?
The market size of the artificial intelligence in the supply chain has seen dramatic expansion in the past few years. The projection indicates momentum from $4.92 billion in 2024 to a significant increase to $7.19 billion in 2025, marking a compound annual growth rate (CAGR) of 46.2%. The historical growth trajectory has been influenced by factors such as globalization, the escalating intricacy in supply chain networks, growing customer demands, the surge in e-commerce, and the rising need for real-time information.

The market size of artificial intelligence in supply chain is predicted to witness a significant surge in the forthcoming years. The expected growth will propel the market value to $30.81 billion by 2029, expanding at a compound annual growth rate (CAGR) of 43.9%. The uptick anticipated during the forecast period is due to the rising demand for predictive analytics in supply chain management, an intensified focus on sustainability, the proliferation of autonomous vehicles in logistics, and an increased need for real-time inventory transparency. Key trends during this projection period encompass the escalating use of machine learning in demand forecasting, the emergence of digital twins in the optimization of supply chains, the expansion of AI-enabled robotic process automation, a focus on supply chain resilience, and the introduction of AI-operated chatbots in logistics customer service.

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What are the emerging trends shaping the future of the artificial intelligence in supply chain market?
Advancements in technology are hence emerging as a significant trend in the AI supply chain market. To maintain market leadership, top companies dealing with AI in supply chain management are integrating advanced innovations. An example of this is the launch of Movement GPT, the inaugural AI supply chain support system, by project44, a US software development enterprise, in April 2023. By harnessing the potential of generative AI, Movement GPT has the ability to transform the supply chain into an autonomous, self-regenerating system. This innovative development introduces a user-friendly, natural language interface that enhances visibility within the supply chain, making it even easier for users to procure vital data and monitor their consignments.

Which growth-oriented segments of the artificial intelligence in supply chain market are leading the industry's development?
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 regions are leading the charge 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

What companies are at the forefront of innovation in 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.

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What Is Covered In The Artificial Intelligence In Supply Chain Global Market Report?

• Market Size Forecast: Examine the artificial intelligence in supply chain market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence in supply chain market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence in supply chain market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence in supply chain market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence in supply chain market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence in supply chain market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence in supply chain market.
• Competitive Landscape: Review strategic developments in the artificial intelligence in supply chain market, including expansions, agreements, and new product launches.

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