Cognitive supply chain market is anticipated to grow at a significant CAGR of 17.9% during the forecast period (2023-2030). With a growing competitive market and the complexity of supply chain systems, organizations are adopting advanced technologies such as cloud computing, AI/ML, and IoT to improve operational efficiency and cost reduction. Additionally, COVID-19 and rising geopolitical tensions disrupted the global logistics and supply chain ecosystem, pushing organizations to embrace tech-led supply chain management solutions to handle the challenges.
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The global cognitive supply chain market is segmented by technology, deployment, and end-user industry. By technology, the market is sub-segmented into AI/ML, IoT, and other technologies such as NLP and blockchain. By deployment, the market is sub-segmented into cloud and on-premises deployment. By end-user industry, the market is sub-segmented into manufacturing, retail and E-commerce, logistics and transportation, healthcare, food and beverage, and other industries such as automotive and energy industry. Among the end-users, the demand for the cognitive supply chain market is expected to grow in the retail and e-commerce sectors. According to the International Trade Administration (ITA), the global B2B e-commerce market is expected to grow at a 14.5% compound annual growth rate (CAGR)at a market value of $36 trillion till 2026. Additionally, the B2C e-commerce market revenue is expected to grow to $5.5 trillion by 2027 at a 14.4% CAGR. With the growing competitive environment in the global retail and e-commerce sector and disruption in global supply chain ecosystems, market players are focusing on the inclusion of technologies in supply chain management.
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- Market Coverage
- Market number available for – 2024-2031
- Base year- 2024
- Forecast period- 2024-2031
- Segment Covered- By Source, By Product Type, By Applications
- Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
- , and others
Market Segmentation
Global Cognitive Supply Chain Market By Technology
- Artificial Intelligence (AI)/Machine Learning (ML)
- Internet of Things (IoT)
- Others (Natural Language Processing (NLP), blockchain)
Global Cognitive Supply Chain Market By Deployment
- Cloud
- On-premises
Global Cognitive Supply Chain Market By End-User Industry
- Manufacturing
- Retail & E-commerce
- Logistics and Transportation
- Healthcare
- Food and Beverage
- Others (automotive, energy)
Regional Analysis
- North America
- United States
- Canada
- Europe
- UK
- Germany
- Italy
- Spain
- France
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
- Rest of the World
Company Profiles
- American Software, Inc.
- Coupa Software Inc. (part of Thoma Bravo)
- Dassault Systèmes
- Descartes Systems Group Inc.
- Honeywell International Inc.
- IBM Corporation
- Infor
- Intel Corporation
- Kinaxis Inc.
- Manhattan Associates, Inc.
- Microsoft Corp.
- NVIDIA Corp.
- Oracle Corp.
- Panasonic Corp.
- Relex Solutions
- Rockwell Automation, Inc.
- SAP SE
- SAS Institute Inc.
- Savi Technology, Inc. (part of Lockheed Martin)
The Report Covers
- Market value data analysis of 2022 and forecast to 2030.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the cognitive supply chain market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
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