Report Id: SNS/ICT/2504 | July 2022 | Region: Global | 132 Pages
Report Scope & Overview:
The Big Data as a Service (BDaaS) Market size was valued at USD 25.51 Bn in 2022 and is expected to reach USD 243.30 Bn by 2030, and grow at a CAGR of 32.56% over the forecast period 2023-2030.
Big data as a service is the providing of statistical analysis information or tools by a third party. Big data as a service might take the shape of software or a contract for a data analysis team. Big data as a service is performed in order to assist enterprises in better comprehending and acquiring a better knowledge of the insights that may be gleaned from massive volumes of data in order to acquire a competitive advantage over rival firms.
A corporation often contains a big volume of unstructured as well as unfiltered data. Big data is simply a service that is intended to free up corporate resources by utilizing the analysis abilities of an external supplier to manage massive volumes of data rather than employing internal people. It is a combination of data-as-a-service, Hadoop-as-a-service, and data analytics-as-a-service. The increasing requirement for organizations to ensure high data quality and provide a channelized data flow has spurred the demand for technologically sophisticated big data solutions to acquire, store, analyze, display, and anticipate information obtained from massive data volumes.
Big data as a service is defined as the distribution of statistical analysis information from a third party or service provider to an enterprise in order to assist it to grasp the insights and gain a competitive edge. Big data as a service is frequently provided in a variety of forms, such as big data analytics software as a service or as a data fabric that incorporates data management and data aggregation. It may also be provided as a data platform service, which primarily focuses on analytical programming, as well as cloud infrastructure.
MARKET DYNAMICS:
KEY DRIVERS:
Increasing Industry Demand for Actionable Big Data Insights.
Data growth as a result of digitization and automation.
RESTRAINTS:
The Difficulty of Extracting Valuable Insights from Massive Data Sources.
OPPORTUNITY:
BdaaS Solutions to Improve Return on Investment and Decision-Making Capabilities.
Growing Advancement of Cloud AI, Machine Learning, IoT, and Advanced Analytics to Increase Opportunities for BdaaS Vendors.
CHALLENGES:
Concerns about security and privacy.
Inadequate Knowledge of BdaaS Solutions and Professional Expertise.
IMPACT OF COVID-19:
Big data as a service sector is projected to expand more during the Covid-19 pandemic epidemic. The activities in the IT business are typically carried out through a 'work-from-home arrangement. As a result, the adoption of big data as a service in various application industries such as banking and finance, e-commerce, information technology, telecommunications, healthcare, and the government is proceeding regularly. The demand for big data as a service from industries such as industry and retail, on the other hand, has declined due to the operational halt imposed by all governments during the new coronavirus epidemic.
MARKET ESTIMATION:
The market for Big Data as a Service has been divided into three segments based on deployment: public cloud, private cloud, and hybrid cloud. The ability of users to readily store and manage massive and diverse datasets at cheap prices has contributed to the expansion of the public cloud market. Furthermore, the public cloud provides several benefits such as elasticity and agility, allowing enterprises to scale up or scale down their IT capabilities. The popularity of hybrid cloud computing is growing due to features such as cost-effectiveness, scalability, flexibility, and security. The hybrid cloud enables enterprises to shift workloads to the public cloud while keeping sensitive data on-premise.
The Hadoop-as-a-Service segment held a market share in 2021. The significant market share can be due to the growing number of businesses throughout the world that routinely access data stored in the cloud. Hadoop is an open-source software framework for storing and analyzing massive amounts of data in distributed computer systems. It also removes the requirement for consumers to build extra infrastructure on their premises. These benefits are projected to boost segment growth during the projection period. Data Analytics-as-a-Service is a service model that analyses data using analytics software and is supplied via web-based technologies. Many businesses are moving to cloud-based services to save the cost of developing, maintaining, and securing applications.
The Hadoop-as-a-Service segment held a market share in 2021. The significant market share can be due to the growing number of businesses throughout the world that routinely access data stored in the cloud. Hadoop is an open-source software framework for storing and analyzing massive amounts of data in distributed computer systems. It also removes the requirement for consumers to build extra infrastructure on their premises. These benefits are projected to boost segment growth during the projection period. Data Analytics-as-a-Service is a service model that analyses data using analytics software and is supplied via web-based technologies. Many businesses are moving to cloud-based services to save the cost of developing, maintaining, and securing applications.
The Big Data as a Service market has been divided into BSFI, manufacturing, retail, media & entertainment, healthcare, IT & communications, government, and others. The BFSI segment accounted for the largest market share in 2021. This expansion may be ascribed to increased regulatory scrutiny along with greater consumer satisfaction, which includes perks like fraud detection, risk management, and personalized solutions. Big Data as a Service aids in the resolution of issues such as fraud, which is a major concern in the banking business. Manufacturing is expected to increase at a rapid CAGR throughout the projected period. The IT & telecommunications market is expected to develop significantly due to rapidly changing business norms and an increased regulatory environment, which is reducing service margins in the telecom industry.
KEY MARKET SEGMENTS:
On The Basis of Deployment
Public Cloud
Private Cloud
Hybrid Cloud
On The Basis of Solution
Hadoop-as-a-Service
Data-as-a-Service
Data Analytics-as-a-Service
On The Basis of Enterprise Size
Small and Medium-sized business
Large enterprise
On The Basis of End-Use
BFSI
Manufacturing
Retail
Media & Entertainment
Healthcare
IT & Telecommunication
Government
Others
REGIONAL ANALYSIS:
North America dominates the big data as a service industry due to increased e-commerce growth and increased government funding to assist big data initiatives in this area. Over the forecast period, The United States is expected to dominate the regional and global Big Data as a Service market over the forecast period, as the majority of major vendors in the market are based in the country, and implementation of Big Data services is very high in the regional discrete manufacturing, banking, process manufacturing, professional services, and federal/central government sectors. The Asia-Pacific area is predicted to develop in the big data as a service industry due to an increase in smartphone and internet users, as well as increased usage of predictive modeling techniques.
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
south Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
KEY PLAYERS:
The major key players are Accenture, Amazon web services, inc., Google LLC, Hewlett Packard enterprise development lp, international business machines corporation, Microsoft Corporation, Oracle Corporation, Sap SE, Sas institute inc., Teradata
Report Attributes | Details |
---|---|
Market Size in 2021 | USD 25.51 Billion |
Market Size in 2030 | USD 243.30 Billion |
CAGR | CAGR 32.56% From 2023 to 2030 |
Base Year | 2022 |
Forecast Period | 2023-2030 |
Historical Data | 2020-2021 |
Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments | • by Deployment (Public Cloud, Private Cloud, and Hybrid Cloud) • by Solution (Hadoop-as-a-Service, Data-as-a-Service, and Data Analytics-as-a-Service), • by Enterprise Size (Small and Medium-sized business, and large enterprise) • by End-Use (BFSI, Manufacturing, Retail, Media & Entertainment, Healthcare, IT & Telecommunication, Government, and Others) |
Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, +D11UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
Company Profiles | Accenture, Amazon web services, inc., Google LLC, Hewlett Packard enterprise development lp, international business machines corporation, Microsoft Corporation, Oracle Corporation, Sap SE, Sas institute inc., Teradata |
Key Drivers | •Increasing Industry Demand for Actionable Big Data Insights. •Data growth as a result of digitization and automation. |
Market Restraints | •The Difficulty of Extracting Valuable Insights from Massive Data Sources. |
Frequently Asked Questions (FAQ) :
Ans: - The forecast period of the Big Data as a Service (BDaaS) market is 2022-2028.
Ans: - Increasing Industry Demand for Actionable Big Data Insights and Data growth as a result of digitization and automation.
Ans: - The segments covered in the Big Data as a Service (BDaaS) Market report for study are on the Basis of Deployment, Solution, Enterprise Size, and End-Use.
Ans: - The major key players are Accenture, Amazon web services, inc., Google LLC, Hewlett Packard enterprise development lp, international business machines corporation, Microsoft Corporation, Oracle Corporation, Sap SE, Sas institute inc., Teradata.
Ans: - The study includes a comprehensive analysis of Big Data as a Service (BDaaS)Market trends, as well as present and future market forecasts. DROC analysis, as well as impact analysis for the projected period. Porter's five forces analysis aids in the study of buyer and supplier potential as well as the competitive landscape etc.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Big Data as a Service (BDaaS) Market Segmentation, by Deployment
8.1 Public Cloud
8.2 Private Cloud
8.3 Hybrid Cloud
9. Big Data as a Service (BDaaS) Market Segmentation, by Solution
9.1 Hadoop-as-a-Service
9.2 Data-as-a-Service
9.3 Data Analytics-as-a-Service
10. Big Data as a Service (BDaaS) Market Segmentation, by Enterprise Size
10.1 Small and Medium-sized business
10.2 Large enterprise
11. Big Data as a Service (BDaaS) Chain Market Segmentation, by End-Use
11.1 BFSI
11.2 Manufacturing
11.3 Retail
11.4 Media & Entertainment
11.5 Healthcare
11.6 IT & Telecommunication
11.7 Government
11.8 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 USA
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Germany
12.3.2 UK
12.3.3 France
12.3.4 Italy
12.3.5 Spain
12.3.6 The Netherlands
12.3.7 Rest of Europe
12.4 Asia-Pacific
12.4.1 Japan
12.4.2 South Korea
12.4.3 China
12.4.4 India
12.4.5 Australia
12.4.6 Rest of Asia-Pacific
12.5 The Middle East & Africa
12.5.1 Israel
12.5.2 UAE
12.5.3 South Africa
12.5.4 Rest
12.6 Latin America
12.6.1 Brazil
12.6.2 Argentina
12.6.3 Rest of Latin America
13. Company Profiles
13.1 Accenture
13.1.1 Financial
13.1.2 Products/ Services Offered
13.1.3 SWOT Analysis
13.1.4 The SNS view
13.2 Amazon web services, inc.
13.3 Google LLC
13.4 Hewlett Packard enterprise development lp
13.5 International business machines corporation
13.6 Microsoft corporation
13.7 Oracle corporation
13.8 Sap se
13.9 Sas institute inc.
13.10 Teradata
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
15. Conclusion
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