CHAPTER 1 INTRODUCTION
1.1. Market Definition
1.2. Executive Summary
1.3. The Scope of the Study
CHAPTER 2 RESEARCH METHODOLOGY
2.1. Secondary Research
2.2. Primary Research
2.3. Analytic Tools and Model
2.4. Economic Indicator
2.4.1 Base Year, Base Currency, Forecasting Period
2.5. Expert Validation
2.6. Study Timeline
CHAPTER 3 MARKET ANALYSIS
3.1. Industry Value Chain Analysis
3.2. Porter's Five Force Analysis
3.2.1. Bargaining Power of Buyers
3.2.2. Bargaining Power of Suppliers
3.2.3. Threats of Substitutes
3.2.4. Threats of New Entrants
3.2.5. Degree of Competition
3.3. PESTLE Analysis
3.3.1. Political
3.3.2. Economical
3.3.3. Social
3.3.4. Technological
3.3.5. Legal
3.3.6. Environmental
3.4. SWOT Analysis
3.4.1. Strengths
3.4.2. Weakness
3.4.3. Opportunities
3.4.4. Threats
3.5. Y-O-Y Analysis
CHAPTER 4 MARKET DYNAMICS
4.1. Market Drivers
4.1.1. Providing service cost effectively
4.1.2. The expertise of cutting edge rendered by data servicing companies
4.1.3. Exploring the big data volume
4.1.4. Increasing need for adherence requirements of regulatory & compliance
4.2. Market Restraints & Challenges
4.2.1. The inconvenience of providing real time data by service providers
4.2.2. Issues on data privacy & security
4.2.3. Diversity of data
4.3. Market Opportunities
4.3.1. Emerging of new business invitations
4.3.2. Growing the range in the volume of data across small and medium enterprises
CHAPTER 5 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET – BY BUSINESS
FUNCTION
5.1. Marketing and Sales
5.2. Finance
5.3. Operations
5.4. Human Resources and Legal
CHAPTER 6 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET – BY SERVICE TYPE
6.1. Data Integration
6.2. Data Modelling
6.3. Data Quality
6.4. Analytics
CHAPTER 7 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET – BY ORGANISATION SIZE
7.1. Small and Medium Enterprises
7.2. Large Enterprises
CHAPTER 8 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET – BY
END USER
8.1. Banking, Financial Service, Insurance (BFSI)
8.2. Healthcare and Life Sciences
8.3. Retail and Ecommerce
8.4. Manufacturing
8.5. Media and Telecom
8.6. Government
8.7. Others
CHAPTER 9 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET – BY
GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. U.S.
9.2.2. Canada
9.2.3. Mexico
9.2.4. Costa Rica
9.3. South America
9.3.1. Brazil
9.3.2. Argentina
9.3.3. Chile
9.3.4. Columbia
9.3.5. Others
9.4. Europe
9.4.1. U.K.
9.4.2. Germany
9.4.3. France
9.4.4. Italy
9.4.5. Spain
9.4.6. Russia
9.4.7. Netherlands
9.4.8. Switzerland
9.4.9. Poland
9.4.10. Others
9.5. Asia Pacific
9.5.1. China
9.5.2. Japan
9.5.3. India
9.5.4. South Korea
9.5.5. Australia & New Zealand
9.5.6. Malaysia
9.5.7. Singapore
9.5.8. Others
9.6. Middle East & Africa
9.6.1. UAE
9.6.2. Saudi Arabia
9.6.3. Iran
9.6.4. Iraq
9.6.5. Qatar
9.6.6. South Africa
9.6.7. Algeria
9.6.8. Morocco
9.6.9. Nigeria
9.6.10. Egypt
9.6.11. Others
CHAPTER 10 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET - COMPANY
PROFILES
10.1. Accenture PLC
10.2. Genpact India Pvt LTD
10.3. Cognizant Technology Solutions Corporation
10.4. Infosys Limited
10.5. Capgemini SE
10.6. NTT Data Corporation
10.7. Mphasis
10.8. L&T Technology Services Ltd.
10.9. Hexaware Technologies Limited
10.10. Happiest Minds Technologies
10.11. KPMG
10.12. Ernst & Young
10.13. Tiger Analytics
10.14. Latentview Analytics
10.15. Infostretch Corporation
CHAPTER 11 GLOBAL BIG DATA AND DATA ENGINEERING SERVICES MARKET - COMPETITIVE LANDSCAPE
11.1. Market Share Analysis
11.2. Strategies adopted by top companies
11.3. Mergers, Acquisitions, Collaborations & Agreements
CHAPTER 12 MARKET INSIGHTS
12.1. Industry Experts Insights
12.2. Analysts Opinions
12.3. Investment Opportunities
CHAPTER 14 APPENDIX
12.1. List of Tables
12.2. List of Figures
