Market Overview:
The global big data as a service (BDaaS) market is expected to grow at a CAGR of 27.5% during the forecast period from 2018 to 2030. The growth of the BDaaS market can be attributed to the increasing demand for big data analytics and cloud-based services. The on-premise type segment is expected to dominate the BDaaS market during the forecast period, owing to its low cost and easy deployment options. However, the cloud-based type segment is projected to grow at a higher CAGR than on-premise type during the forecast period, due to its scalability and flexibility benefits over on-premise deployments.
 Industry Outlook.svg)
Product Definition:
BDaaS is a model for delivering Big Data services over the Internet. It enables customers to access Big Data functionality without having to invest in infrastructure or management. BDaaS providers offer a variety of services, including data acquisition, warehousing, analytics, and API access.
On-premise:
On-premise is a term used to define the installation of an application or service on the user's own server, which is hosted either by an individual or company. The data being operated and stored on-premise can only be accessed by authorized users with specific access rights.
In big data as a service (BDaaS), companies are able to utilize large amounts of unstructured.
Cloud-based:
Cloud-based solutions are used to store and manage large data sets. The solution is made up of hardware, software, and services that work together to provide a platform for running applications. These solutions offer benefits such as on-demand availability of computing resources (storage space), easy setup & implementation, low operational cost compared to traditional systems or platforms, elasticity in terms of capacity (grow/shrink), scalability based on demand information etc.
Application Insights:
The e-commerce segment accounted for the largest revenue share in 2016 and is expected to continue leading over the forecast period. The growth of this segment can be attributed to factors such as increasing penetration of smartphones, rising consumer disposable income, and changing consumption patterns. Moreover, technological advancements such as cloud computing have enhanced the performance of e-commerce platforms significantly. This has led to an increased need for data storage and processing which is providing a positive scope for market growth during the forecast period.
The medical insurance segment is anticipated to register a significant CAGR over the forecast period owing to growing awareness about health issues among individuals coupled with government initiatives that offer subsidies on healthcare expenditure through insurance policies or public healthcare systems like Medicare & Medicaid in various countries globally including U.S., China, India etc. Furthermore, growing demand from pharmaceutical companies for clinical trials will drive this application further contributing towards market growth during future years.
Regional Analysis:
North America dominated the global market in 2017. The growth of this region can be attributed to the presence of a large number of players such as IBM Corporation; Cloudera, Inc.; and Amazon Web Services, Inc. Moreover, these companies are also focusing on expanding their operations in this region by offering BDaaS solutions to small & medium enterprises (SMEs). Thus, North America is expected to continue its dominance throughout the forecast period.
Asia Pacific is anticipated to witness significant growth over the next eight years owing to increasing adoption BDaaS solutions by various organizations for data discovery and transformation purposes across industries such as retail & e-commerce, manufacturing & supply chain management among others. Furthermore, growing awareness about big data among SMEs located in emerging economies including India and China is further propelling demand for BDaaS providers from Asia Pacific region thereby driving regional market growth over same period.
Growth Factors:
- Increased demand for big data analytics and insights to drive better business decisions.
- The need for organizations to keep up with the ever-increasing volume, variety, and velocity of data.
- Growing popularity of cloud-based big data solutions that make it easier and faster to get started with big data analytics without the need for significant upfront investment or infrastructure setup costs.
- Proliferation of low-cost, high-powered sensors and connected devices that are generating massive amounts of new data at an unprecedented rate – a trend often referred to as the “Internet of Things” (IoT).
- Advances in artificial intelligence (AI) and machine learning technologies that are making it possible to extract more value from large volumes of unstructured data
Scope Of The Report
Report Attributes
Report Details
Report Title
Big Data as a Service (BDaaS) Market Research Report
By Type
On-premise, Cloud-based
By Application
E-commerce, Retail, Manufacturing, Medical Insurance, Others
By Companies
IBM, Oracle, Microsoft, Google, AWS, SAP, Teradata, SAS, Dell Technologies, HPE, CenturyLink, Splunk, Cloudera, Salesforce, Qubole, GoodData, Hitachi Vantara, IRI, 1010data, Guavus
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
248
Number of Tables & Figures
174
Customization Available
Yes, the report can be customized as per your need.
Global Big Data as a Service (BDaaS) Market Report Segments:
The global Big Data as a Service (BDaaS) market is segmented on the basis of:
Types
On-premise, Cloud-based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
E-commerce, Retail, Manufacturing, Medical Insurance, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Oracle
- Microsoft
- Google
- AWS
- SAP
- Teradata
- SAS
- Dell Technologies
- HPE
- CenturyLink
- Splunk
- Cloudera
- Salesforce
- Qubole
- GoodData
- Hitachi Vantara
- IRI
- 1010data
- Guavus
 Market Overview.svg)
Highlights of The Big Data as a Service (BDaaS) Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premise
- Cloud-based
- By Application:
- E-commerce
- Retail
- Manufacturing
- Medical Insurance
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Big Data as a Service (BDaaS) Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
 Market Statistics.svg)
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
BDaaS is a cloud-based platform that helps organizations manage and analyze their data. It provides a suite of tools, including big data analytics, storage, and search capabilities. BDaaS can help organizations quickly identify patterns in their data and make better decisions.
Some of the major companies in the big data as a service (bdaas) market are IBM, Oracle, Microsoft, Google, AWS, SAP, Teradata, SAS, Dell Technologies, HPE, CenturyLink, Splunk, Cloudera, Salesforce, Qubole, GoodData, Hitachi Vantara, IRI, 1010data, Guavus.
The big data as a service (bdaas) market is expected to grow at a compound annual growth rate of 27.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Big Data as a Service (BDaaS) Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Big Data as a Service (BDaaS) Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Big Data as a Service (BDaaS) Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Big Data as a Service (BDaaS) Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Big Data as a Service (BDaaS) Market Size & Forecast, 2018-2028
4.5.1 Big Data as a Service (BDaaS) Market Size and Y-o-Y Growth
4.5.2 Big Data as a Service (BDaaS) Market Absolute $ Opportunity
Chapter 5 Global Big Data as a Service (BDaaS) Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Big Data as a Service (BDaaS) Market Size Forecast by Type
5.2.1 On-premise
5.2.2 Cloud-based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Big Data as a Service (BDaaS) Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Big Data as a Service (BDaaS) Market Size Forecast by Applications
6.2.1 E-commerce
6.2.2 Retail
6.2.3 Manufacturing
6.2.4 Medical Insurance
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Big Data as a Service (BDaaS) Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Big Data as a Service (BDaaS) Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Big Data as a Service (BDaaS) Analysis and Forecast
9.1 Introduction
9.2 North America Big Data as a Service (BDaaS) Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Big Data as a Service (BDaaS) Market Size Forecast by Type
9.6.1 On-premise
9.6.2 Cloud-based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Big Data as a Service (BDaaS) Market Size Forecast by Applications
9.10.1 E-commerce
9.10.2 Retail
9.10.3 Manufacturing
9.10.4 Medical Insurance
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Big Data as a Service (BDaaS) Analysis and Forecast
10.1 Introduction
10.2 Europe Big Data as a Service (BDaaS) Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Big Data as a Service (BDaaS) Market Size Forecast by Type
10.6.1 On-premise
10.6.2 Cloud-based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Big Data as a Service (BDaaS) Market Size Forecast by Applications
10.10.1 E-commerce
10.10.2 Retail
10.10.3 Manufacturing
10.10.4 Medical Insurance
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Big Data as a Service (BDaaS) Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Big Data as a Service (BDaaS) Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Big Data as a Service (BDaaS) Market Size Forecast by Type
11.6.1 On-premise
11.6.2 Cloud-based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Big Data as a Service (BDaaS) Market Size Forecast by Applications
11.10.1 E-commerce
11.10.2 Retail
11.10.3 Manufacturing
11.10.4 Medical Insurance
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Big Data as a Service (BDaaS) Analysis and Forecast
12.1 Introduction
12.2 Latin America Big Data as a Service (BDaaS) Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Big Data as a Service (BDaaS) Market Size Forecast by Type
12.6.1 On-premise
12.6.2 Cloud-based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Big Data as a Service (BDaaS) Market Size Forecast by Applications
12.10.1 E-commerce
12.10.2 Retail
12.10.3 Manufacturing
12.10.4 Medical Insurance
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Big Data as a Service (BDaaS) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Big Data as a Service (BDaaS) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Big Data as a Service (BDaaS) Market Size Forecast by Type
13.6.1 On-premise
13.6.2 Cloud-based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Big Data as a Service (BDaaS) Market Size Forecast by Applications
13.10.1 E-commerce
13.10.2 Retail
13.10.3 Manufacturing
13.10.4 Medical Insurance
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Big Data as a Service (BDaaS) Market: Competitive Dashboard
14.2 Global Big Data as a Service (BDaaS) Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Oracle
14.3.3 Microsoft
14.3.4 Google
14.3.5 AWS
14.3.6 SAP
14.3.7 Teradata
14.3.8 SAS
14.3.9 Dell Technologies
14.3.10 HPE
14.3.11 CenturyLink
14.3.12 Splunk
14.3.13 Cloudera
14.3.14 Salesforce
14.3.15 Qubole
14.3.16 GoodData
14.3.17 Hitachi Vantara
14.3.18 IRI
14.3.19 1010data
14.3.20 Guavus
