Big data as a service (BDaaS) is a combination of big data analytics technologies and cloud computing platforms that benefits users to reduce the cost and time for the deployment of big data projects. Also, it allows enterprises to manage big data on the cloud and provides easy data access to all departments at any given time. Enterprises incur substantial costs while building big data infrastructure and recruiting skilled human resources. However, with the adoption of cloud-enabled big data technology, this cost has substantially reduced. BDaaS is considered as the delivery of statistical analysis information from a third party or a service provider, which helps the organization to gain insights with an objective to achieve competitive advantage over their competitors.
Growing demand for statistical analysis due to the generation of massive amount of unstructured data from the various organizations majorly drives the growth of the big data as a service market. In addition, factors such as expansion of big data analytics which covers data from intelligent systems such as in-vehicle infotainment, smart meters, sensors, and others, current growth of cloud computing, and growing demand for data science and predictive analysis further boosts the growth of the market. However, inadequacy of tools used for the service along with the security and privacy concerns which arise from the implementation of big data as a service are expected to hamper the growth of the market. Furthermore, growing investment in IT sectors by number of businesses and rising demand for advanced analytics and data warehousing solutions are expected to provide major opportunities for the growth of the big data as a service market in the next few years.
The global big data as a service (BDaaS) market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is bifurcated into Hadoop-as-a-Service (HaaS), Data-as-a-Service (DaaS), and Data Analytics-as-a-Service (DAaaS). Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is classified into small and medium-sized enterprise, and large enterprise. Depending on industry vertical, the market is segmented into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report includes profiles of the key players operating in the market analysis. These include Amazon Web Services, Inc., Hewlett Packard Enterprise (HP), IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Google, Inc., and Accenture.
KEY BENEFITS
KEY MARKET SEGMENTS
By SOLUTION TYPE
By DEPLOYMENT MODEL
By ORGANIZATION SIZE
By Industry Vertical
By Region
KEY MARKET PLAYERS PROFILED IN THE REPORT
Growing demand for statistical analysis due to the generation of massive amount of unstructured data from the various organizations majorly drives the growth of the big data as a service market. In addition, factors such as expansion of big data analytics which covers data from intelligent systems such as in-vehicle infotainment, smart meters, sensors, and others, current growth of cloud computing, and growing demand for data science and predictive analysis further boosts the growth of the market. However, inadequacy of tools used for the service along with the security and privacy concerns which arise from the implementation of big data as a service are expected to hamper the growth of the market. Furthermore, growing investment in IT sectors by number of businesses and rising demand for advanced analytics and data warehousing solutions are expected to provide major opportunities for the growth of the big data as a service market in the next few years.
The global big data as a service (BDaaS) market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is bifurcated into Hadoop-as-a-Service (HaaS), Data-as-a-Service (DaaS), and Data Analytics-as-a-Service (DAaaS). Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is classified into small and medium-sized enterprise, and large enterprise. Depending on industry vertical, the market is segmented into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report includes profiles of the key players operating in the market analysis. These include Amazon Web Services, Inc., Hewlett Packard Enterprise (HP), IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Google, Inc., and Accenture.
KEY BENEFITS
- The report provides an in-depth analysis of the global big data as a service market, outlining current trends, key driving factors, and potential areas for product investments.
- Key players are analyzed with respect to their primary offerings, recent investments, and future development strategies.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the big data as a service industry.
- The quantitative analysis of the global big data as a service market from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS
By SOLUTION TYPE
- Hadoop-as-a-Service
- Data-as-a-Service
- Data Analytics-as-a-Service
By DEPLOYMENT MODEL
- Public Cloud
- Private Cloud
- Hybrid Cloud
By ORGANIZATION SIZE
- Small & Medium Enterprises
- Large Enterprises
By Industry Vertical
- BFSI
- Retail and E-Commerce
- IT & Telecom
- Healthcare
- Government
- Manufacturing
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY MARKET PLAYERS PROFILED IN THE REPORT
- Amazon Web Services, Inc.
- Hewlett Packard Enterprise (HP)
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- SAS Institute Inc.
- Teradata Corporation
- Google, Inc.
- Accenture
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY SOLUTION TYPE
CHAPTER 5: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY DEPLOYMENT MODEL
CHAPTER 6: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY ORGANIZATION SIZE
CHAPTER 7: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY INDUSTRY VERTICAL
CHAPTER 8: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY REGION
CHAPTER 9: COMPETITIVE LANDSCAPE
CHAPTER 10: COMPANY PROFILE
Executive Summary
According to the report titled, 'Big Data as a Service Market by Solution Type, Deployment Model, Organization Size, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2018-2026,' the global big data as a service market was valued at $4.99 billion in 2018, and is projected to reach $61.42 billion by 2026, registering a CAGR of 36.9% from 2019 to 2026.Massive growth of big data across the globe, rise in demand for real-time data analytics, government initiatives supporting big data infrastructure, and upsurge in the adoption of predictive modeling tools are driving the market growth for big data as a service industry. However, security and privacy threats and lack of big data IT skills hampers the growth of the market. Furthermore, huge investment in IT sectors by the businesses is anticipated to create major opportunities for the market.
By solution type, the data analytics-as-a-service segment garnered major big data as a service market share in 2018 and is expected to remain dominant during the forecast period. The growth of this segment is mainly attributed to major shift toward the cloud-based services mainly to reduce the cost of building, running, and protecting applications. Also, the data analytics-as-a-service segment is expanding at a higher pace, due to factors such as increase in adoption of social media applications along with continuous rise in demand for advanced technologies to process high workload through cloud. However, the Hadoop-as-a-service segment is expected to witness highest growth rate in the upcoming years.
Based on deployment type, the public cloud segment dominated the global big data as a service market share in 2018 and is expected to generate highest revenue during the forecast period due to its ability to help users to easily store and manage large and varied datasets at low costs, which is driving the growth of the market. However, the hybrid cloud segment is expected to witness highest growth rate in the upcoming years. The growth of this segment is mainly attributed to increase in demand for hybrid cloud across various end-user industries due to its numerous benefits such as scalability, flexibility, cost efficiency, and security. Owing to these benefits, organizations are shifting toward hybrid cloud to achieve security of data and application and large storage spaces to reduce their capital expenditure by deploying a combination of the private and public cloud model.
By organization size, large enterprises segment dominated the global big data as a service market in 2018 and is expected to remain dominant during the forecast period. Numerous large enterprises are adopting big data as a service due to increase in number of datasets and data handling solutions such as data transformation, data migration, data warehousing, and data hub. However, the small and medium enterprise segment is predicted to witness the fastest growth during the forecast period due to rapid increase in adoption of big data-enabled cloud services by these organizations across different industry verticals.
In terms of industry vertical, the BFSIsegment is expected to witness high adoption of big data as a service solutions and services. The dominance of this industry is attributed to growth in regulatory scrutiny combined with improved customer satisfaction. Along with this, it provides numerous benefits to the BFSI industry such as risk management, fraud detection, customized solutions, and others, which is expected to drive the growth of the market.
According to Rachita Rake, Research Analyst “Asia-Pacific region is projected to generate the highest growth rate during the forecast period, which is attributed to rise in number of smartphone as well as internet users, which leads to the generation of big data. Also, number of startups and well established companies in Asia-Pacific region are opting for big data as a service to bring diversification in their business solutions, which fuels the growth of the market.”
KEY FINDINGS OF THE STUDY
- Based on solution type, the data analytics-as-a-service segment dominated the global big data as a service market in 2018 and is expected to generate highest revenue during the forecast period. However, the Hadoop-as-a-service segment is expected to witness highest growth rate in the upcoming years.
- Based on deployment model, the public cloud segment dominated the market in 2018 and is expected to generate highest revenue during the forecast period. However, the hybrid cloud segment is expected to witness highest growth rate in the upcoming years.
- On the basis of organization size, the large enterprises dominated the global big data as a service market in 2018 and it is expected to remain dominant throughout the forecast period.
- In terms of industry vertical, the BFSIsegment dominated the global big data as a service market in 2018 and is expected to generate highest revenue during the forecast period.
Some of the key Big data as a service industry players profiled in the report include Amazon Web Services, Inc., Hewlett Packard Enterprise (HP), IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Google, Inc., and Accenture.
Companies Mentioned
- Amazon Web Services Inc.
- Hewlett Packard Enterprise (HP)
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- SAS Institute Inc.
- Teradata Corporation
- Google Inc.
- Accenture.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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