The global supply chain analytics market size reached USD 3.41 Billion in 2020 and is expected to register a CAGR of 18.9% during the forecast period. Increasing need for improving supply chain and operational efficiencies is expected to drive revenue growth of the global supply chain analytics market over the forecast period. Growing demand for demand analytics to reduce inventory costs is expected to propel global supply chain analytics market growth going ahead.
Increasing adoption of supply chain analytics across industries to enhanced decision-making capabilities is expected to boost growth of the global supply chain analytics market during the forecast period. However, concerns regarding data security and privacy are key factors expected to hamper growth of the global supply chain analytics market to a certain extent.
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The Global Supply Chain Analytics Market Research Report published by Emergen Research is furnished with the latest information about product specifications and portfolio, technological advancement, product type, and manufacturing. Major factors such as revenue, costs, and gross margin are taken into consideration while formulating this report. The report provides extensive data concerning the key market players along with their SWOT analysis, financial standing, technological and product development, and recent strategic business expansion plans.
The report further studies the key companies operating in the industry and their company profiles, product portfolio, expansion strategies, and strategic alliances such as mergers and acquisitions, collaborations, and joint ventures, among others. It also offers insights into their market reach and global position, along with highlights about their achievements and financial standings
Key players include Oracle Corporation, SAP SE, TIBCO Software Inc., QlikTech Inc., MicroStrategy Incorporated, Cloudera, Inc., International Business Machines Corporation, Accenture PLC, Capgemini SE, and Savi Technologies, Inc.
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Emergen Research has segmented the global supply chain analytics market on the basis of deployment, component, solution, end-use, and region:
Deployment Outlook (Revenue, USD Billion; 2018–2028)
Cloud
On-premises
Component Outlook (Revenue, USD Billion; 2018–2028)
Services
Solution
Solution Outlook (Revenue, USD Billion; 2018–2028)
Supplier performance analytics
Inventory analytics
Demand analysis and forecasting
Spend procurement analytics
Transportation logistics analytics
End-use Outlook (Revenue, USD Billion; 2018–2028)
Manufacturing
Healthcare
Transportation
Retail
Aerospace Defense
Consumer Goods
Others
Regional Analysis Covers:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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Key Highlights in the Report
The cloud segment revenue is expected to expand at a significant CAGR during the forecast period. Increasing adoption of cloud-based supply chain analytics solutions across various industries is expected to boost revenue growth of this segment going ahead.
In terms of revenue share, the solution segment is expected to lead over the forecast period due to increasing adoption of supply chain analytics solutions by end-users.
Increasing adoption of demand analysis forecasting solutions among end-users to reduce inventory cost is expected to drive revenue growth of the demand analysis and forecasting segment, which is expected to lead in terms of revenue contribution to the global supply chain analytics market during the forecast period.
ToC of the report:
Chapter 1: Market overview and scope
Chapter 2: Market outlook
Chapter 3: Impact analysis of COVID-19 pandemic
Chapter 4: Competitive Landscape
Chapter 5: Drivers, Constraints, Opportunities, Limitations
Chapter 6: Key manufacturers of the industry
Chapter 7: Regional analysis
Chapter 8: Market segmentation based on type applications
Chapter 9: Current and Future Trends
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