Big Data as a Service Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)
In 2020, the Big Data as a Service (BDaaS) market was valued at USD 13.21 billion, and it is expected to reach USD 52.75 billion by 2026, at a CAGR of 26.2% over the forecast period. The evolution of technological tools has enabled solutions to be delivered as a service. Owing to this, Software as a Service (SaaS), Platform as a Service (PaaS), and Data as a Service (DaaS) have emerged as potential growth opportunities for Big Data vendors.
Key HighlightsPrivate cloud services are explicitly designed for the organization's needs. They are usually offered via a private network or corporate WAN, rather than an open internet source.
Private cloud services allow organizations to set up IT architectures (e.g. by specifying their requirements for security and service-level agreements), and also allow applications hosted in the cloud to integrate with applications that are kept in-house.
In a private cloud, both infrastructure and services are always maintained on a private network, and software and hardware are dedicated solely to the client organization. They ensure that no data is misplaced or lost, and provide the flexibility of control to modify resource configuration according to demand.
United States Occupied the Largest Share In the MarketThe United States is expected to dominate the regional and global Big Data as a Service market over the forecast period, as most of the major vendors in the market are US-based and the adoption of Big Data services is very high in the regional discrete manufacturing, banking, process manufacturing, professional services, and federal/central government sectors.
According to the Digital Change Survey done by IFS in 2017 to assess the maturity of digital transformation in a range of sectors (such as manufacturing, oil and gas, aviation, construction and contracting), 46% of the companies in all the industries are looking to invest in the Big Data and analytics in the country.
Adoption of Big Data services for enhancing internal efficiency is trending in the country. 43% of companies in the above survey also identified internal process efficiency as the primary driving force behind the digital transformation.
American multinational corporation, Intel is finding significant value in Big Data. The company uses Big Data to develop chips faster, identify manufacturing glitches, and warn about security threats. By adopting Big Data, the company has been able to enable predictive analysis and save around USD 30 million on its quality assurance spend while still improving quality.
The manufacturing sector is also forecast to increase faster than the general economy. According to the MAPI (Manufacturers Alliance for Productivity and Innovation) foundation, production will grow by 2.8% from 2018 to 2021. Further, the rising adoption of SaaS among local SMEs is expected to expand the studied market scope over the forecast period.
Competitive LandscapeBig Data services have the potential to shift rivalry, opening up numerous new avenues for differentiation and value-added services. The huge expansion of capabilities in the Big Data analytics technology (owing to the availability of open-source tools) may also push the companies to keep up with rivals and give away too much of the improved product performance, an environment that escalates costs and erodes industry profitability. The major Big Data solution providers are acquiring or investing in new startups and technologies that support their overall product offerings.
Some key players in the Big Data as a Service market are IBM, Google, and Oracle. Some key developments in the Big Data as a Service market are:
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