The generative artificial intelligence in supply chain global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Generative Artificial Intelligence In Supply Chain Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The generative artificial intelligence in supply chain market size has grown exponentially in recent years. It will grow from $0.28 billion in 2023 to $0.41 billion in 2024 at a compound annual growth rate (CAGR) of 43.4%. The growth in the historic period can be attributed to growth in computational power, growth in e-commerce, increasing availability of big data, increasing focus on automation, and growth in investment in AI research and development.
The generative artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $1.73 billion in 2028 at a compound annual growth rate (CAGR) of 43.7%. The growth in the forecast period can be attributed to increasing demand for real-time supply chain visibility, growing need for AI-powered supply chain planning tools, rising investment in AI for supply chain innovation labs, growing demand for AI in predictive logistics, and rising demand for advanced forecasting techniques. Major trends in the forecast period include technological advancements, telemedicine, blockchain technology, 5G technology, and internet of things.
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The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Market Drivers –
The rising e-commerce is expected to propel the growth of the generative artificial intelligence in supply chain market going forward. E-commerce is the buying and selling goods and services over the Internet, involving transactions and business activities conducted through online platforms and mobile applications. The rise in e-commerce is due to the growing adoption of online shopping, advancements in digital payment technologies, and the expansion of internet access. Generative artificial intelligence (AI) is used in the e-commerce supply chain to optimize inventory management, enhance demand forecasting, streamline logistics, automate order processing, and personalize customer experiences by analyzing large volumes of data to create efficient, data-driven supply chain strategies. For instance, in November 2023, according to the International Trade Administration, a US-based Department of Commerce, consumer eCommerce was expected to generate $285.60 billion in revenue by 2025, accounting for 36.3% of the UK retail market as of January 2021. Additionally, eCommerce revenues in the UK are projected to grow at an average annual rate of 12.6% by 2025. Therefore, rising e-commerce drives the growth of generative artificial intelligence in the supply chain market.
Market Trends –
Major companies operating in the generative artificial intelligence in supply chain market are focused on developing innovative technologies, such as cognitive solutions, to enhance predictive analytics and optimize supply chain operations. Cognitive solutions refer to advanced technologies that simulate human thought processes to analyze, interpret, and act on complex data. These solutions leverage artificial intelligence (AI), machine learning, and natural language processing to enable systems to understand, reason, and learn from data, much such as the human brain. For instance, in December 2023, Blue Yonder, a US-based supply chain management company, launched Blue Yonder Orchestrator, a generative AI tool that enables businesses to make more intelligent decisions and accelerate supply chain orchestration. This new capability leverages advanced AI algorithms to automate and optimize complex supply chain processes, enhancing efficiency and accuracy. Its key features include real-time data analysis, enabling dynamic inventory and logistics adjustments based on current conditions and forecasts. The system seamlessly integrates with existing supply chain infrastructure, providing actionable insights and recommendations to improve overall operational performance.
The generative artificial intelligence in supply chain market 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
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Regional Insights –
North America was the largest region in the generative artificial intelligence in supply chain market in 2023. 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.
Key Companies –
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.
Table of Contents
1. Executive Summary
2. Generative Artificial Intelligence In Supply Chain Market Report Structure
3. Generative Artificial Intelligence In Supply Chain Market Trends And Strategies
4. Generative Artificial Intelligence In Supply Chain Market – Macro Economic Scenario
5. Generative Artificial Intelligence In Supply Chain Market Size And Growth
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27. Generative Artificial Intelligence In Supply Chain Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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