Big-Data-as-a-Service Market by Solution Type (Data Analytics-as-a-Service, Data-as-a-Service, Hadoop-as-a-Service), Organization Size (Large Enterprises, Small & Medium Enterprises), Deployment Model, Industry - Global Forecast 2023-2030

Big-Data-as-a-Service Market by Solution Type (Data Analytics-as-a-Service, Data-as-a-Service, Hadoop-as-a-Service), Organization Size (Large Enterprises, Small & Medium Enterprises), Deployment Model, Industry - Global Forecast 2023-2030


The Big-Data-as-a-Service Market is projected to reach USD 153.56 billion by 2030 from USD 69.39 billion in 2022, at a CAGR of 10.43% during the forecast period.

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Big-Data-as-a-Service Market.
  • Based on Solution Type, market is studied across Data Analytics-as-a-Service, Data-as-a-Service, and Hadoop-as-a-Service. The Data-as-a-Service is projected to witness significant market share during forecast period.
  • Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises. The Large Enterprises is projected to witness significant market share during forecast period.
  • Based on Deployment Model, market is studied across Hybrid Cloud, Private Cloud, and Public Cloud. The Private Cloud is projected to witness significant market share during forecast period.
  • Based on Industry, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology, Manufacturing, Media & Entertainment, Telecommunication, and Travel & Hospitality. The Banking, Financial Services & Insurance is projected to witness significant market share during forecast period.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.75% in 2022, followed by Europe, Middle East & Africa.
Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Big-Data-as-a-Service Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Big-Data-as-a-Service Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the Big-Data-as-a-Service Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Dell Technologies Inc., GoodData Corporation, Google LLC, Hewlett Packard Enterprise, Hitachi Vantara Corporation, Lumen Technologies, Inc., Salesforce, Inc., SAP SE, SunGard Data Systems Inc., Teradata Corporation, and UST Global Inc..

The report offers valuable insights on the following aspects:
  1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
  2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
  3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
  4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
  5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
  1. What is the market size and forecast for the Big-Data-as-a-Service Market?
  2. Which products, segments, applications, and areas hold the highest investment potential in the Big-Data-as-a-Service Market?
  3. What is the competitive strategic window for identifying opportunities in the Big-Data-as-a-Service Market?
  4. What are the latest technology trends and regulatory frameworks in the Big-Data-as-a-Service Market?
  5. What is the market share of the leading vendors in the Big-Data-as-a-Service Market?
  6. Which modes and strategic moves are suitable for entering the Big-Data-as-a-Service Market?


Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Big-Data-as-a-Service Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Growing demand for a unified solution
5.1.1.2. Reduction in implementation cost
5.1.1.3. Rising usage of data science and cloud-based predictive analytics
5.1.1.4. Increase in volume of real-time heterogeneous data
5.1.2. Restraints
5.1.2.1. Regulatory compliance and security issues
5.1.2.2. Lack of big data IT skills
5.1.3. Opportunities
5.1.3.1. Rise in demand for advanced analytics and data warehousing solutions
5.1.3.2. Attractive investment in IT sectors by the businesses
5.1.4. Challenges
5.1.4.1. Complexity in data consolidation and privacy threats
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. Big-Data-as-a-Service Market, by Solution Type
6.1. Introduction
6.2. Data Analytics-as-a-Service
6.3. Data-as-a-Service
6.4. Hadoop-as-a-Service
7. Big-Data-as-a-Service Market, by Organization Size
7.1. Introduction
7.2. Large Enterprises
7.3. Small & Medium Enterprises
8. Big-Data-as-a-Service Market, by Deployment Model
8.1. Introduction
8.2. Hybrid Cloud
8.3. Private Cloud
8.4. Public Cloud
9. Big-Data-as-a-Service Market, by Industry
9.1. Introduction
9.2. Aerospace & Defense
9.3. Automotive & Transportation
9.4. Banking, Financial Services & Insurance
9.5. Building, Construction & Real Estate
9.6. Consumer Goods & Retail
9.7. Education
9.8. Energy & Utilities
9.9. Government & Public Sector
9.10. Healthcare & Life Sciences
9.11. Information Technology
9.12. Manufacturing
9.13. Media & Entertainment
9.14. Telecommunication
9.15. Travel & Hospitality
10. Americas Big-Data-as-a-Service Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific Big-Data-as-a-Service Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam
12. Europe, Middle East & Africa Big-Data-as-a-Service Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom
13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.2. Market Share Analysis, By Key Player
13.3. Competitive Scenario Analysis, By Key Player
14. Competitive Portfolio
14.1. Key Company Profiles
14.1.1. Accenture PLC
14.1.2. Amazon Web Services, Inc.
14.1.3. Cisco Systems, Inc.
14.1.4. Cloudera, Inc.
14.1.5. Dell Technologies Inc.
14.1.6. GoodData Corporation
14.1.7. Google LLC
14.1.8. Hewlett Packard Enterprise
14.1.9. Hitachi Vantara Corporation
14.1.10. Lumen Technologies, Inc.
14.1.11. Salesforce, Inc.
14.1.12. SAP SE
14.1.13. SunGard Data Systems Inc.
14.1.14. Teradata Corporation
14.1.15. UST Global Inc.
14.2. Key Product Portfolio
15. Appendix
15.1. Discussion Guide
15.2. License & Pricing

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