The global supply chain analytics market was valued at USD 3,552.17 Million in 2020, and it is expected to reach a value of USD 10,452.3 Million by 2027, at a CAGR of 15.75% over the forecast period.
The supply chain analytics (SCA) market is seeing rising demand as a result of greater awareness of the benefits of SCA solutions such as forecasting accuracy, supply chain optimization, waste minimization, and meaningful synthesis of business data. The growing number of small and medium-sized businesses, as well as their increased investment on applying analytics in order to maintain a strong market position and compete with other market players, are likely to drive market expansion throughout the forecast period.
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Segmental Analysis
The global supply chain analytics market is segmented based on Software: Supplier Performance Analytics, Demand Analysis and Forecasting, and Inventory Analytics. By Services the market is segmented into: Professional, Support Maintenance. By Deployment Model the market is categorized into Cloud, On-premises. Based on region it is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.
Analysis by Service
In 2021, the professional services category had a market share of more than 60%. To minimize data loss or theft, professional services must guarantee that the new systems are compatible with the current systems of multiple departments, and that the new systems are integrated with the old ones, therefore promoting segment growth. Increased demand for professional services such as data analysis and preservation, as well as expert advice on developing technologies. However, data scientist teams require specialized talents to detect and uncover patterns that assist marketers in making better judgments; as a result, the supply chain industry lacks experienced or professional services and persons.
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Top Players Company Profiles
- SAP (Germany)
- Oracle (US)
- IBM (US)
- SAS Institute (US)
- Software AG (Germany)
- Micro Strategy (US)
- Tableau (US)
- Qlik (US)
- TIBCO (US)
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