Generative Artificial Intelligence In Supply Chain Market Forecast 2025-2034: Analysing Major Trends, Opportunities, and Growth Drivers

How Will the Generative Artificial Intelligence In Supply Chain Market Grow, and What Is the Projected Market Size?
The market size for generative artificial intelligence in supply chain has seen an extraordinary increase in the past few years. It is expected to prosper from $0.41 billion in 2024 to $0.58 billion in the span of a year, with a compound annual growth rate (CAGR) of 43.9% by 2025. The growth during the historic period has been credited to the escalating computational capacity, the rise of e-commerce, increased access to big data, a heightened emphasis on automation, along with growth in financial backing for AI research and development.

The market size of generative artificial intelligence in supply chain is projected to experience a surge in the coming years, reaching $2.49 billion in 2029 with a CAGR of 43.6%. This expansion during the forecast period can be linked to the escalating demand for real-time visibility in supply chains, rising need for AI-integrated tools for supply chain planning, increasing investments in AI for innovative supply chain labs, growing requisites for AI in predictive logistics, and a surge in demand for advanced forecasting tactics. Key trends expected during the forecast period encompass technological progresses, telemedicine, the application of blockchain technology, the emergence of 5G technology, and the internet of things.

What Key Elements Are Boosting Growth in the Generative Artificial Intelligence In Supply Chain Market?
The surge in e-commerce is projected to stimulate the expansion of the generative artificial intelligence in the supply chain market. Transactions and business activities conducted via the Internet, encompassing the purchase and sale of products and services on online platforms and mobile apps, describe e-commerce. The increased adoption of online shopping, expansion of internet reach, and advancements in digital payment technology are among the reasons for the e-commerce rise. Generative artificial intelligence (AI) is employed in the e-commerce supply chain to automate order processing, fine-tune inventory management, enhance demand projection, streamline logistics, and offer personalized customer experiences by exploiting large data volumes to form an efficient, data-driven supply chain strategy. For example, according to the International Trade Administration, a US-based Department of Commerce prediction in November 2023, consumer e-commerce was projected to yield $285.60 billion by 2025, responsible for 36.3% of the UK retail market as of January 2021. Further, e-commerce revenue in the UK is expected to record an average annual growth rate of 12.6% by 2025. Hence, the escalating e-commerce trend fuels the progress of generative artificial intelligence in the supply chain market.

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Who Are the Major Industry Players Fueling Generative Artificial Intelligence In Supply Chain Market Expansion?
Major companies operating in the generative artificial intelligence in supply chain market are Amazon.com Inc., Microsoft Corporation, Deutsche Post AG, Intel Corporation, accenture* plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, NVIDIA Corporation, Infosys Limited, Dematic Inc., Zebra Technologies Corporation, PTC Inc., Teradata Corporation, Blue Yonder Inc., L&T Technology Services Limited, Manhattan Associates Inc., Nitor Infotech Private Limited, Logility Inc., LLamasoft Inc., Covariant Inc., FourKites Inc., Kanerika Inc., ClearMetal Inc.

Which Key Developments Are Influencing the Generative Artificial Intelligence In Supply Chain Market?
Leading companies in the generative artificial intelligence supply chain market are striving to create innovative technologies, including cognitive solutions, to improve predictive analytics and streamline supply chain processes. Cognitive solutions are advanced technologies imitating human cognitive capabilities, used for sorting, analyzing, and taking actions based on complex data. These solutions exploit artificial intelligence (AI), machine learning, and natural language processing technology to impart systems the ability to understand, deduce, and learn from data, similar to the human brain. For example, Blue Yonder, a US-based supply chain management firm, rolled out Blue Yonder Orchestrator, a generative AI tool, in December 2023. It allows businesses to make smarter decisions and expedite supply chain coordination. This new tool taps into advanced AI algorithms to automate and enhance complex supply chain processes, resulting in better efficiency and precision. Its highlight features include real-time data evaluation, allowing for dynamic modifications in inventory and logistics based on the present conditions and future predictions. The system successfully integrates with the pre-existing supply chain infrastructure, delivering actionable insights and suggestions to boost overall operational efficiency.

How Is the Segmentation of the Generative Artificial Intelligence In Supply Chain Market Defined?
The generative artificial intelligence in supply chainmarket covered in this report is segmented -

1) By Component: Solutions, Software
2) By Deployment Mode: Cloud-Based, On-Premise
3) By End-User: Retail, Manufacturing, Healthcare, Other End-Users

Subsegments:
1) By Solutions: Supply Chain Optimization Solutions, Demand Forecasting Solutions, Inventory Management Solutions, Logistics And Transportation Solutions, Supplier Risk Management Solutions, End-to-End Visibility Solutions
2) By Software: Predictive Analytics Software, Machine Learning Platforms, Robotics Process Automation (RPA) Software, Artificial Intelligence For Supply Chain Management (AI-SCM), Collaboration And Communication Software, Data Analytics Tools

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What Is the Leading Region in the Generative Artificial Intelligence In Supply Chain Market?
North America was the largest region in the generative 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 generative artificial intelligence in supply chain market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

- Market Size Analysis: Analyze the Generative Artificial Intelligence In Supply Chain Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Generative Artificial Intelligence In Supply Chain Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Generative Artificial Intelligence In Supply Chain Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Generative Artificial Intelligence In Supply Chain Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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