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Big data as a service (BDaaS) is the delivery of statistical analysis tools or information by an outside provider that helps organizations understand and use insights gained from large information sets in order to gain a competitive advantage.
Scope of the Report:
This report studies the Big data as a Service market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Big data as a Service market by product type and applications/end industries.
Global data as a service market is growing at a faster pace owing to the increasing demand for statistical analysis since the massive amount of unstructured data is generated almost at regular interval of time from the various organization. The organizations outsource the big data service to manage the large data rather than doing it in-house. The big data as a service is often offered by various ways, for instance, big data analytics software as a service, as data fabric which includes data management and the data the aggregation. It can also be offered as data platform service which mostly covers the analytical programming, and also as cloud infrastructure. The big global data as a service market is expected to grow at significantly high CAGR owing the robust demand for service offerings.
Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors such as SAP and IBM provide wide-range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making.
North America dominates the market owing to the presence of establishes players such as Microsoft Corporation, Hewlett-Packard Enterprise Development LP, International Business Machines Corporation, etc.
The global Big data as a Service market is valued at 16000 million USD in 2017 and is expected to reach 36600 million USD by the end of 2023, growing at a CAGR of 14.8% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Big data as a Service.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
Market Segment by Companies, this report covers
Hewlett Packard Enterprise Development
IBM
Microsoft Corporation
SAP
SAS Institute
Teradata Corporation
Accenture
Oracle
SunGard Data Systems
MapR Technologies
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Hadoop-as-a-Service (HDaaS)
Data Analytics-as-a-Service (DAaaS)
Data-as-a-Service (DaaS)
Market Segment by Applications, can be divided into
Banking & Financial Services
Retail
Manufacturing
Energy & Utilities
Healthcare
Public Sector
Media & Entertainment
Others
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
1 Big data as a Service Market Overview
1.1 Product Overview and Scope of Big data as a Service
1.2 Classification of Big data as a Service by Types
1.2.1 Global Big data as a Service Revenue Comparison by Types (2017-2023)
1.2.2 Global Big data as a Service Revenue Market Share by Types in 2017
1.2.3 Hadoop-as-a-Service (HDaaS)
1.2.4 Data Analytics-as-a-Service (DAaaS)
1.2.5 Data-as-a-Service (DaaS)
1.3 Global Big data as a Service Market by Application
1.3.1 Global Big data as a Service Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 Banking & Financial Services
1.3.3 Retail
1.3.4 Manufacturing
1.3.5 Energy & Utilities
1.3.6 Healthcare
1.3.7 Public Sector
1.3.8 Media & Entertainment
1.3.9 Others
1.4 Global Big data as a Service Market by Regions
1.4.1 Global Big data as a Service Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Big data as a Service Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Big data as a Service Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Big data as a Service Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Big data as a Service Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Big data as a Service Status and Prospect (2013-2023)
1.5 Global Market Size of Big data as a Service (2013-2023)
2 Manufacturers Profiles
2.1 Hewlett Packard Enterprise Development
2.1.1 Business Overview
2.1.2 Big data as a Service Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 Hewlett Packard Enterprise Development Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.2 IBM
2.2.1 Business Overview
2.2.2 Big data as a Service Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 IBM Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.3 Microsoft Corporation
2.3.1 Business Overview
2.3.2 Big data as a Service Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Microsoft Corporation Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.4 SAP
2.4.1 Business Overview
2.4.2 Big data as a Service Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 SAP Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.5 SAS Institute
2.5.1 Business Overview
2.5.2 Big data as a Service Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 SAS Institute Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.6 Teradata Corporation
2.6.1 Business Overview
2.6.2 Big data as a Service Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Teradata Corporation Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.7 Accenture
2.7.1 Business Overview
2.7.2 Big data as a Service Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Accenture Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.8 Oracle
2.8.1 Business Overview
2.8.2 Big data as a Service Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Oracle Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.9 SunGard Data Systems
2.9.1 Business Overview
2.9.2 Big data as a Service Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 SunGard Data Systems Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
2.10 MapR Technologies
2.10.1 Business Overview
2.10.2 Big data as a Service Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 MapR Technologies Big data as a Service Revenue, Gross Margin and Market Share (2016-2017)
3 Global Big data as a Service Market Competition, by Players
3.1 Global Big data as a Service Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 Big data as a Service Players Market Share
3.2.2 Top 10 Big data as a Service Players Market Share
3.3 Market Competition Trend
4 Global Big data as a Service Market Size by Regions
4.1 Global Big data as a Service Revenue and Market Share by Regions
4.2 North America Big data as a Service Revenue and Growth Rate (2013-2018)
4.3 Europe Big data as a Service Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Big data as a Service Revenue and Growth Rate (2013-2018)
4.5 South America Big data as a Service Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Big data as a Service Revenue and Growth Rate (2013-2018)
5 North America Big data as a Service Revenue by Countries
5.1 North America Big data as a Service Revenue by Countries (2013-2018)
5.2 USA Big data as a Service Revenue and Growth Rate (2013-2018)
5.3 Canada Big data as a Service Revenue and Growth Rate (2013-2018)
5.4 Mexico Big data as a Service Revenue and Growth Rate (2013-2018)
6 Europe Big data as a Service Revenue by Countries
6.1 Europe Big data as a Service Revenue by Countries (2013-2018)
6.2 Germany Big data as a Service Revenue and Growth Rate (2013-2018)
6.3 UK Big data as a Service Revenue and Growth Rate (2013-2018)
6.4 France Big data as a Service Revenue and Growth Rate (2013-2018)
6.5 Russia Big data as a Service Revenue and Growth Rate (2013-2018)
6.6 Italy Big data as a Service Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Big data as a Service Revenue by Countries
7.1 Asia-Pacific Big data as a Service Revenue by Countries (2013-2018)
7.2 China Big data as a Service Revenue and Growth Rate (2013-2018)
7.3 Japan Big data as a Service Revenue and Growth Rate (2013-2018)
7.4 Korea Big data as a Service Revenue and Growth Rate (2013-2018)
7.5 India Big data as a Service Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Big data as a Service Revenue and Growth Rate (2013-2018)
8 South America Big data as a Service Revenue by Countries
8.1 South America Big data as a Service Revenue by Countries (2013-2018)
8.2 Brazil Big data as a Service Revenue and Growth Rate (2013-2018)
8.3 Argentina Big data as a Service Revenue and Growth Rate (2013-2018)
8.4 Colombia Big data as a Service Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Big data as a Service by Countries
9.1 Middle East and Africa Big data as a Service Revenue by Countries (2013-2018)
9.2 Saudi Arabia Big data as a Service Revenue and Growth Rate (2013-2018)
9.3 UAE Big data as a Service Revenue and Growth Rate (2013-2018)
9.4 Egypt Big data as a Service Revenue and Growth Rate (2013-2018)
9.5 Nigeria Big data as a Service Revenue and Growth Rate (2013-2018)
9.6 South Africa Big data as a Service Revenue and Growth Rate (2013-2018)
10 Global Big data as a Service Market Segment by Type
10.1 Global Big data as a Service Revenue and Market Share by Type (2013-2018)
10.2 Global Big data as a Service Market Forecast by Type (2018-2023)
10.3 Hadoop-as-a-Service (HDaaS) Revenue Growth Rate (2013-2023)
10.4 Data Analytics-as-a-Service (DAaaS) Revenue Growth Rate (2013-2023)
10.5 Data-as-a-Service (DaaS) Revenue Growth Rate (2013-2023)
11 Global Big data as a Service Market Segment by Application
11.1 Global Big data as a Service Revenue Market Share by Application (2013-2018)
11.2 Big data as a Service Market Forecast by Application (2018-2023)
11.3 Banking & Financial Services Revenue Growth (2013-2018)
11.4 Retail Revenue Growth (2013-2018)
11.5 Manufacturing Revenue Growth (2013-2018)
11.6 Energy & Utilities Revenue Growth (2013-2018)
11.7 Healthcare Revenue Growth (2013-2018)
11.8 Public Sector Revenue Growth (2013-2018)
11.9 Media & Entertainment Revenue Growth (2013-2018)
11.10 Others Revenue Growth (2013-2018)
12 Global Big data as a Service Market Size Forecast (2018-2023)
12.1 Global Big data as a Service Market Size Forecast (2018-2023)
12.2 Global Big data as a Service Market Forecast by Regions (2018-2023)
12.3 North America Big data as a Service Revenue Market Forecast (2018-2023)
12.4 Europe Big data as a Service Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Big data as a Service Revenue Market Forecast (2018-2023)
12.6 South America Big data as a Service Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Big data as a Service Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Big data as a Service Picture
Table Product Specifications of Big data as a Service
Table Global Big data as a Service and Revenue (Million USD) Market Split by Prod
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