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Home Artificial Intelligence

AI in Supply Chain Management Market is Forecasted to Reach US$ 22.7 billion in 2030, Says Stratview Research

December 13, 2024
in Artificial Intelligence, OpenPR, Web3
Reading Time: 6 mins read
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Stratview Research

Stratview Research

The global AI in supply chain management market is projected to witness a growth rate of 30.3% annually from 2024 to 2030, with an anticipated size of US$ 22.7 billion by 2030, according to an analysis by Stratview Research.

Stratview Research, a global market research firm has launched a report on the global AI in supply chain management market which provides a comprehensive outlook of the global and regional market, industry forecast, current & emerging trends, segment analysis, competitive landscape, & more.

Click here to get a free sample of the report:
https://www.stratviewresearch.com/Request-Sample/3843/ai-in-supply-chain-management-market.html#form

Report Highlights:
Market Size in 2030: US$ 22.7 billion
Growth (CAGR): 30.3% during 2024-2030
Forecast Period: 2024-2030
Trend Period: 2016-2022
Base Year: 2023
Number of Segments Covered: 5
Number of Tables & Graphs: 100+

Segment Insights on the AI in Supply Chain Management Market:
The global AI in supply chain management market is segmented based on offering type, technology type, application type, end-user type, and region.

Based on the offering type – The market is segmented into hardware, software, and services. Software is expected to maintain its indisputable lead and is likely to grow at the fastest rate for the AI in supply chain management market during the forecast period. Software solutions can be customized to various supply chain functions, including demand forecasting, inventory management, transportation optimization, and quality control. The software can easily scale up or down to meet changing business needs, making it a flexible and cost-effective solution.

Based on technology type- The market is segmented into machine learning (ML), natural language processing (NLP), context-aware computing, and computer vision. Machine learning’s adaptability, maturity, and data-driven approach establish it as the market’s leading technology. ML is inherently data-driven, making it well-suited for supply chain applications, which depend on large amounts of data to make informed decisions. ML can be scaled to handle large datasets and complex models, ensuring that it can meet the needs of even the largest businesses.

Based on the application type – The market is segmented into fleet management, supply chain planning, warehouse management, virtual assistant, risk management, freight brokerage, and others. Supply chain planning is expected to remain the forerunner of the market throughout the forecast period. Supply chain planning deals with the major challenges of supply chain management, including demand variability, complexity, cost efficiency, risk management, and customer expectations. AI algorithms can analyze data to predict future demand, helping businesses optimize inventory and production planning.

Based on the end-user type – The market is segmented into automotive, aerospace, logistics, manufacturing, retail, healthcare, consumer-packaged goods, food & beverages, and others. Manufacturing is projected to remain the dominant, whereas retail is expected to be the fastest-growing end-user of the market during the forecast period. The manufacturing industry is at the forefront of accepting Industry 4.0 initiatives, highlighting the use of AI, IoT, and automation to develop smart factories. These technologies improve productivity, flexibility, and efficiency, increasing AI adoption in supply chain management.

To know the most attractive segments, visit:
https://www.stratviewresearch.com/3843/ai-in-supply-chain-management-market.html

Which Region Shows the Most Promising Growth Forecast and Opportunity?
The analysis suggests that North America is expected to remain the largest market for AI in supply chain management during the forecast period. This growth outlook is majorly attributed to the presence of developed economies that prioritize enhancing existing supply chain solutions.

AI in Supply Chain Management Market Drivers:
Some of the key drivers listed in the report are given below.
– The increasing volume of big data.
– Demand for greater visibility and transparency in the supply chain.
– AI’s ability to analyze data, automate processes, and provide actionable insights.

Top Companies in the AI in Supply Chain Management Market:
Stratview Research has identified the following companies as the top market players (Based on Dominance).
• Microsoft Corporation, Inc.
• Oracle Corporation
• SAP SE
• IBM Corporation
• Amazon.com Inc.
• Google LLC

What Unique Insights Does this Report Offer?
This report provides comprehensive insights into the AI in Supply Chain Management Market, answering critical questions like:
• How big is the sales opportunity?
• Which regions offer the best sales opportunities?
• Which are the most attractive market segments?
• Which are the top players and their market positioning?
• How complex is the business environment?
• What are the factors affecting the market?

For Customization or Any Other Queries, Get in Touch with Our Industry Experts at – sales@stratviewresearch.com

Related Reports:
• Artificial Intelligence in Supply Chain Market: https://www.stratviewresearch.com/3283/artificial-intelligence-in-supply-chain-market.html
• Supply Chain Management Software Market: https://www.stratviewresearch.com/2759/supply-chain-management-software-market.html

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Detroit, Michigan, MI 48243
USA

Website: http://www.stratviewresearch.com
Mail Us: sales@stratviewresearch.com
Press: media@stratviewresearch.com

Stratview Research is a global market research firm that highly specializes in aerospace & defense, chemicals, and a few other industries.
It launches a limited number of reports annually on the above-mentioned specializations. Thorough analysis and accurate forecasts in this report enable the readers to take convincing business decisions.
Stratview Research has been helping companies meet their global and regional growth objectives by offering customized research services. These include market assessment, due diligence, opportunity screening, voice of customer analysis, market entry strategies, and more.

This release was published on openPR.

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