Spend Analysis Software Market Analysis

  • Report ID: 3958
  • Published Date: Sep 12, 2024
  • Report Format: PDF, PPT

Spend Analysis Software Market Analysis

The market is segmented by end user into manufacturing, retail & e-commerce, telecommunications & IT, energy & utilities, and BFSI, out of which, the retail & e-commerce segment is anticipated to hold the largest share in the global spend analytics software market. This can be accounted to the high need in retail & e-commerce companies to generate insights from spend data to assess supplier performance management and working capital performance. Apart from this, rapidly growing e-commerce industry across the globe is also predicted to drive growth of the market segment in the future. Additionally, on the basis of analytics type, the predictive segment is assessed to grab the largest share during the forecast period owing to the growing emphasis of companies to determine customer responses or purchases, and cross-sell opportunities. 

Our in-depth analysis of the global market includes the following segments

By Analytics Type

  • Predictive
  • Prescriptive
  • Descriptive

By Application

  • Financial Management
  • Risk Management
  • Governance and Compliance Management
  • Supplier Sourcing and Performance Management

By End-User Industry

 

  • Manufacturing
  • Retail & E-Commerce
  • Telecommunications & IT
  • Energy & Utilities
  • BFSI
  • Others
 
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Browse Key Market Insights with Data Illustration:


Author Credits:  Abhishek Verma


  • Report ID: 3958
  • Published Date: Sep 12, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

The major factors driving market growth are increasing amount of data generated across the world, and growing demand for implementation of predictive analytics among businesses.

The market is anticipated to attain a CAGR of ~17% over the forecast period, i.e., 2022-2031.

The major players in the market are SAP SE, IBM Corporation, Coupa Software Inc., Oracle Corporation, Zycus Inc., and others.
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