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Market Share and Forecast: Spend Analytics Tools, 2023-2028, Worldwide (Bundle of Two Reports)

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KSA 25.02.13

This product includes two reports: Market Share and Market Forecast.

Market Share Description:

QKS Group Reveals that Spend Analytics Market is Projected to Register a CAGR of 16.50% by 2028.

Today's spend analytics applications have progressed from offering cost-cutting recommendations to assisting organizations in visualizing and optimizing their spending across different categories, improving visibility into suppliers' pricing structures, and assisting in the supplier selection process to improve operational efficiency and reduce costs. With the advent of advanced analytics technologies, such as machine learning, artificial intelligence, automation, and NLP, spend analytics has evolved significantly, allowing them to track the outcome of strategic spend initiatives to compare against original goals in real-time. Modern spend analytics software provides detailed insights into spending patterns, supplier performance, contract compliance, and other critical metrics. They are designed to perform various sourcing functions, including defining business requirements, supplier discovery and management, online negotiations, and contract management with a variety of suppliers. Spend analytics also assist users with real-time visibility into potentially fraudulent activities, running automated supplier compliance checks and mitigating supplier risk.

Quadrant Knowledge Solutions defines Spend Analytics software as a "tool that gathers, cleans, clusters, categorizes, and analyses an organization's end-to-end procurement spend to identify opportunities for saving cost, increasing productivity, and enhancing supplier relationships." The tool incorporates data from various sources, including financial and third-party data, to decrease wasteful procurement spend, mitigate contract compliance risks, help make apt sourcing decisions, track and benchmark spend performance, and provide better visibility of expenditure data.

Market Forecast Description:

QKS Group Reveals that Spend Analytics Market is Projected to Register a CAGR of 16.50% by 2028.

Today's spend analytics applications have progressed from offering cost-cutting recommendations to assisting organizations in visualizing and optimizing their spending across different categories, improving visibility into suppliers' pricing structures, and assisting in the supplier selection process to improve operational efficiency and reduce costs. With the advent of advanced analytics technologies, such as machine learning, artificial intelligence, automation, and NLP, spend analytics has evolved significantly, allowing them to track the outcome of strategic spend initiatives to compare against original goals in real-time.

Modern spend analytics software provides detailed insights into spending patterns, supplier performance, contract compliance, and other critical metrics. They are designed to perform various sourcing functions, including defining business requirements, supplier discovery and management, online negotiations, and contract management with a variety of suppliers. Spend analytics also assist users with real-time visibility into potentially fraudulent activities, running automated supplier compliance checks and mitigating supplier risk.

TABLE OF CONTENTS

Market Share:

Chapter 01: Executive Summary

  • Key Research Findings
  • Top Predictions
  • Top Trends
  • Market Summary

Chapter 02: Market Overview

  • Market Definition and Scope
  • Key Factors Impacting the Market
  • Drivers & Restraints

Chapter 03: Market Share Analysis

  • Market Share by Region
  • Market Share Worldwide
  • Market Share USA
  • Market Share Canada
  • Market Share Latin America
  • Market Share Western Europe
  • Market Share Central & Eastern Europe
  • Market Share Middle East & Africa
  • Market Share China
  • Market Share APAC Ex Japan & China
  • Market Share Japan
  • Market Share by Industry Verticals
  • Market Share by Media & Entertainment
  • Market Share by Retail
  • Market Share by BFSI
  • Market Share by Travel & Hospitality
  • Market Share by Education
  • Market Share by Public Sector
  • Market Share by Healthcare & Life Science
  • Market Share by Automotive
  • Market Share by Food & Beverage
  • Market Share by Deployment Type
  • Market Share by Deployment Type: On prem
  • Market Share by Deployment Type: Cloud
  • Market Share by Customer Type
  • Market Share by SMB
  • Market Share by Large
  • Market Share by Enterprise

Chapter 04: Company Profile

  • Company Overview
  • Analyst Perspectives and Analysis

Chapter 05: Appendix

  • Research Methodologies

Market Forecast:

Chapter 01: Executive Summary

  • Key Research Findings
  • Top Predictions
  • Top Trends
  • Market Summary

Chapter 02: Market Overview

  • Market Definition and Scope
  • Key Factors Impacting the Market
  • Drivers & Restraints

Chapter 03: Market Forecast Analysis

  • Market Forecast by Region
  • Market Forecast Global
  • Market Forecast USA
  • Market Forecast Canada
  • Market Forecast Latin America
  • Market Forecast Western Europe
  • Market Forecast Central & Eastern Europe
  • Market Forecast Middle East & Africa
  • Market Forecast China
  • Market Forecast APAC Ex Japan & China
  • Market Forecast Japan
  • Market Forecast by Industry Verticals
  • Market Forecast by Media & Entertainment
  • Market Forecast by Retail
  • Market Forecast by BFSI
  • Market Forecast by Travel & Hospitality
  • Market Forecast by Education
  • Market Forecast by Public Sector
  • Market Forecast by Healthcare & Life Science
  • Market Forecast by Automotive
  • Market Forecast by Food & Beverage
  • Market Forecast by Deployment Type
  • Market Forecast by Deployment Type: On prem
  • Market Forecast Deployment Type: Cloud
  • Market Forecast by Customer Type
  • Market Forecast by SMB
  • Market Forecast by Large
  • Market Forecast by Enterprise

Chapter 04: Company Profile

  • Company Overview
  • Analyst Perspectives and Analysis

Chapter 05: Appendix

  • Research Methodologies
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