Global Spend Analytics Market Insights Spend analysis is gaining popularity due to the changing and complex nature of business. The spend analysis is done for improving efficiency, monitoring compliance, and decreasing procurement cost. In this process, cleansing, collection analysis, and classification of data are done to spot wasteful expenditure and upsurge profitability. Spend analysis play an important role in controlling supply chain management, managing business risk, and reduce cost. Spend analysis is useful in various industries like government and defense, manufacturing, retail, healthcare, telecommunication, banking, and others. With the growth in the global market for cloud computing and big data, the demand for business intelligence is expected to rise, which in turn is expected to fuel the demand for spent analysis. Another factor responsible for the increase in demand for spend analysis is the increase in the use of mobile applications.
Table of Contents
Chapter 1: Introduction to Spend Analytics Market o
Market Definition
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Market Segmentation
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Macro Economic Factor Analysis
Chapter 2: Executive Summary
Chapter 3: Market Factor Analysis
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Porter’s Five Forces Analysis
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PESTEL Analysis
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Value Chain Analysis
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SWOT Analysis
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Pricing Analysis
Chapter 4: Global Spend Analytics Market Estimation & Forecast By Deployment o
On-Premises
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Cloud
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Hybrid
Chapter 5: Global Spend Analytics Market Estimation & Forecast By Component o
Software
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Services
Chapter 6: Global Spend Analytics Market Estimation & Forecast By Analytics o
Descriptive
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Diagnostic
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Predictive
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Prescriptive
Chapter 7: Global Spend Analytics Market Estimation & Forecast By EndUse o
Retail
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BFSI
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IT and Telecom
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Healthcare
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Manufacturing
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Energy and Utilities
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Government Sector
Chapter 8 Global Spend Analytics Market Estimation & Forecast By Region o
North America
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Asia Pacific
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Europe
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EMEA
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Latin America
Chapter 9 Competitive Landscape o
Competition Mapping
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Company Profiles (Suppliers)
SAS Institute
IBM Corporation
Zycus
Coupa Software
Proactis Holdings
JAGGAER
Empronc Solutions
Rosslyn Data Technologies
Oracle Corporation
SAP SE
Chapter 10 Recommendations
Chapter 11 Acronyms and Assumptions
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