Chapter 1. Research Background
1.1. Research Objectives
1.2. Market Definition
1.3. Research Scope
1.3.1. Market Segmentation by Component
1.3.2. Market Segmentation by Analytics Type
1.3.3. Market Segmentation by Deployment Model
1.3.4. Market Segmentation by Organization Size
1.3.5. Market Segmentation by Vertical
1.3.6. Market Segmentation by Application
1.3.7. Market Segmentation by Geography
1.3.8. Analysis Period
1.3.9. Market Data Reporting Unit
1.3.9.1. Value
1.4. Key Stakeholders
Chapter 2. Research Methodology
2.1. Secondary Research
2.2. Primary Research
2.2.1. Breakdown of Primary Research Respondents
2.2.1.1. By region
2.2.1.2. By industry participant
2.2.1.3. By company type
2.3. Market Size Estimation
2.4. Data Triangulation
2.5. Assumptions for the Study
Chapter 3. Executive Summary
Chapter 4. Introduction
4.1. Definition of Market Segments
4.1.1. By Component
4.1.1.1. Software
4.1.1.2. Services
4.1.1.2.1. Managed
4.1.1.2.2. Professional
4.1.1.3. Support & maintenance
4.1.1.4. Consulting
4.1.2. By Analytics Type
4.1.2.1. Predictive
4.1.2.2. Prescriptive
4.1.2.3. Descriptive
4.1.3. By Deployment Model
4.1.3.1. Cloud
4.1.3.2. On-premises
4.1.4. By Application
4.1.4.1. Financial performance
4.1.4.2. Sales performance
4.1.4.3. Marketing performance
4.1.4.4. IT operations performance
4.1.4.5. Supply chain performance
4.1.4.6. Others
4.1.5. By Vertical
4.1.5.1. Banking, financial services & insurance (BFSI)
4.1.5.2. Telecommunications & IT
4.1.5.3. Retail & e-commerce
4.1.5.4. Government & defense
4.1.5.5. Healthcare
4.1.5.6. Energy & utilities
4.1.5.7. Manufacturing
4.1.5.8. Construction & engineering
4.1.5.9. Others
4.2. Value Chain Analysis
4.3. Market Dynamics
4.3.1. Trends
4.3.2. Drivers
4.3.2.1. Simple to utilize and integrated business application
4.3.2.2. Rising prevalence of metrics driven business performance assessment
4.3.2.3. Need to promote and manage activities such as sales and marketing by the companies
4.3.2.4. Need of generating insights from continually rising volume of data
4.3.2.5. Advancements in computing technology
4.3.2.6. Impact analysis of drivers on market forecast
4.3.3. Restraints
4.3.3.1. Data privacy and security concerns
4.3.3.2. Lack of awareness about benefits of performance analytics
4.3.3.3. Lack of skilled workforce
4.3.3.4. Impact analysis of restraints on market forecast
4.3.4. Opportunities
4.3.4.1. Increasing adoption of cloud-based performance analytics solutions
4.3.4.2. Massive growth of data through IoT and connected devices
4.4. Porter’s Five Forces Analysis
Chapter 5. Global Market Size and Forecast
5.1. By Component
5.2. By Analytics Type
5.3. By Deployment Model
5.4. By Organization Size
5.5. By Vertical
5.6. By Application
5.7. By Region
Chapter 6. North America Market Size and Forecast
6.1. By Component
6.2. By Analytics Type
6.3. By Deployment Model
6.4. By Organization Size
6.5. By Vertical
6.6. By Application
6.7. By Country – U.S., Canada
Chapter 7. Latin America Market Size and Forecast
7.1. By Component
7.2. By Analytics Type
7.3. By Deployment Model
7.4. By Organization Size
7.5. By Vertical
7.6. By Application
7.7. By Country – Brazil, and Rest of Latin America
Chapter 8. Europe Market Size and Forecast
8.1. By Component
8.2. By Analytics Type
8.3. By Deployment Model
8.4. By Organization Size
8.5. By Vertical
8.6. By Application
8.7. By Country – Germany, U.K., France, Italy, Rest of Europe
Chapter 9. Asia-Pacific Market Size and Forecast
9.1. By Component
9.2. By Analytics Type
9.3. By Deployment Model
9.4. By Organization Size
9.5. By Vertical
9.6. By Application
9.7. By Country – China, India, Japan, and Rest of Asia-Pacific
Chapter 10. Middle-East and Africa Market Size and Forecast
10.1. By Component
10.2. By Analytics Type
10.3. By Deployment Model
10.4. By Organization Size
10.5. By Vertical
10.6. By Application
10.7. By Country – South Africa and Rest of MEA
Chapter 11. Competitive Landscape
11.1. Competitive Analysis of Key Players
11.2. Product Benchmarking of Key Players
11.3. Recent Activities of Major Players
11.4. Global Strategic Developments of Key Players
Chapter 12. Company Profiles
12.1. SAP SE
12.1.1. Business Overview
12.1.2. Product and Service Offerings
12.1.3. Key Financial Summary
12.1.4. Strategic Growth Plans
12.2. SAS Institute, Inc.
12.2.1. Business Overview
12.2.2. Product and Service Offerings
12.2.3. Key Financial Summary
12.2.4. Strategic Growth Plans
12.3. Oracle Corporation
12.3.1. Business Overview
12.3.2. Product and Service Offerings
12.3.3. Key Financial Summary
12.3.4. Strategic Growth Plans
12.4. Siemens AG
12.4.1. Business Overview
12.4.2. Product and Service Offerings
12.4.3. Key Financial Summary
12.4.4. Strategic Growth Plans
12.5. Adaptive Insights
12.5.1. Business Overview
12.5.2. Product and Service Offerings
12.5.3. Key Financial Summary
12.5.4. Strategic Growth Plans
12.6. Xactly Corporation
12.6.1. Business Overview
12.6.2. Product and Service Offerings
12.6.3. Key Financial Summary
12.6.4. Strategic Growth Plans
12.7. Optymyze
12.7.1. Business Overview
12.7.2. Product and Service Offerings
12.7.3. Key Financial Summary
12.7.4. Strategic Growth Plans
12.8. Servicenow, Inc.
12.8.1. Business Overview
12.8.2. Product and Service Offerings
12.8.3. Key Financial Summary
12.8.4. Strategic Growth Plans
12.9. Callidus Software Inc.
12.9.1. Business Overview
12.9.2. Product and Service Offerings
12.9.3. Key Financial Summary
12.9.4. Strategic Growth Plans
*Note: Key financial summary and strategic growth plans will be provided on best effort basis and is subject to availability of information during primary and secondary research.
Chapter 13. Appendix
13.1. Abbreviations
