1. INTRODUCTION
1.1. Market Overview
1.2. COVID-19 Scenario
1.3. Market Definition
1.4. Market Segmentation
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Assumptions
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Force Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. BIG DATA AS A SERVICE MARKET, BY DEPLOYMENT
5.1. Introduction
5.2. Private
5.3. Public
5.4. Hybrid
6. BIG DATA AS A SERVICE MARKET, BY END-USER
6.1. Introduction
6.2. BFSI
6.3. IT & Telecommunication
6.4. Healthcare
6.5. Manufacturing
6.6. Others
7. BIG DATA AS A SERVICE MARKET, BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.1. Germany
7.4.2. United Kingdom
7.4.3. Spain
7.4.4. France
7.4.5. Others
7.5. Middle East and Africa
7.5.1. Saudi Arabia
7.5.2. UAE
7.5.3. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. Japan
7.6.3. South Korea
7.6.4. India
7.6.5. Thailand
7.6.6. Taiwan
7.6.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Emerging Players and Market Lucrativeness
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Vendor Competitiveness Matrix
9. COMPANY PROFILES
9.1. Lumen Technologies, Inc.
9.2. Wipro Limited
9.3. Amazon Web Services, Inc.
9.4. Microsoft
9.5. Snowflake Inc.
9.6. Hewlett Packard Enterprise Development LP
9.7. Innovative Routines International (IRI), Inc.
9.8. Oracle Corporation