Global Data as a Service Markets 2021-2026

DUBLIN, August 6, 2021 / PRNewswire / – The report “Data as a Service Market by Enterprise, Industrial, Public, and Government Data Applications and Services 2021-2026” has been added to offer.

This Data as a Service market report assesses technologies, companies, strategies, and solutions for DaaS. The report assesses business opportunities for companies to use their own data, the data of others, and a combination of the two.

The report also analyzes the opportunities for companies to monetize their own data through various third-party DaaS offerings. The report assesses the opportunities for DaaS in key verticals as well as the future prospects of emerging data monetization. The forecast includes global and regional projections by industry, data collection, source and structure from 2021 to 2026.

There is considerable competition in the market, which takes place at different levels, with widely varying characteristics from one supplier to another. This creates confusion for the business and often results in choosing two or more suppliers. Barriers to enterprise adoption of the DaaS model include issues of security, reliability, regulation, vendor lockdown / interoperability, IT management overhead, and other costs.

However, the reasons for implementing DaaS far outweigh any concerns, especially when it comes to IoT data, which needs to have flexible and scalable platforms for storage, processing, and distribution. As a result, businesses are five times more likely to implement DaaS for machine-generated IoT data than for static data located in corporate repositories or data lakes. The DaaS market must support both static and dynamic data, but the latter will benefit significantly more, especially as edge computing is implemented and real-time data is available.

A surprising number of companies do not realize that they have options for solutions involving combinations of different types of data, including (1) their own data, (2) data from other companies, (3) public data or a combination of the three. Therefore, it was not surprising for the publisher of this report to find confusion, even for many of those companies already considering or implementing data as a service.

Another important area of ​​opportunity for DaaS is enterprise data syndication, which is the opportunity for companies of different sizes to syndicate (e.g. share and monetize) their data. This is one of the biggest opportunities for the data as a service market as a whole. However, there remain challenges beyond the main barriers to adoption, which include specific issues of security, privacy, and custody support.

Select the report results:

  • North America and Western Europe represent the two largest regional markets for DaaS
  • IoT DaaS is growing nearly three times faster than non-IoT DaaS, with much of its data streaming
  • The structured data market remains superior to the unstructured, but the latter will overtake the former
  • Machine-born data grows twice as fast as non-machine data, in large part thanks to IoT applications and services
  • Analytics as a service is the biggest opportunity and also one of the fastest growing segments until 2026
  • DaaS Market to Receive Huge Boost in Usage and Revenue Thanks to Cutting-Edge Computing and Real-Time Data Analytics
  • Syndication of enterprise data will become a major driver of DaaS growth, but data security and privacy concerns will limit expansion

Main topics covered:

1.0 Executive summary
1.1 Global Data as a Service Market
1.2 DaaS Market by data type
1.3 DaaS Market by region

2.0 Data as a service technology
2.1 Cloud Computing and DaaS
2.2 Database approaches and solutions
2.3 DaaS and the XaaS ecosystem
2.4 Alliance of open data centers
2.5 Market sizing by horizontal

3.0 Benefits, Use Case, and Data-as-a-Service Marketplace Framework
3.1 Benefits of data as a service
3.2 Data-as-a-service criticism
3.3 Use cases
3.4 Pricing models for data as a service
3.5 Tools used for DaaS

4.0 Data as a market for services
4.1 Market overview
4.1.1 Understanding data as a service
4.1.2 Data structure
4.1.3 Specialization
4.1.4 DaaS providers
4.2 Supplier analysis and outlook
4.2.1 Large suppliers
4.2.2 Medium-sized suppliers
4.2.3 Small vendors
4.2.4 Market sizing
4.3 Factors and Constraints in the Data-as-a-Service Market
4.3.1 Market Drivers of Data as a Service Business Intelligence and DaaS integration The Cloud Enabler DaaS XaaS DaaS driver
4.3.2 Constraints in the data-as-a-service market Need for data integration Problems with integrating data as a service
4.4 Obstacles and challenges to DaaS adoption
4.4.1 Business reluctance to change
4.4.2 Responsibility for outsourced data security
4.4.3 Safety issues
4.4.4 Cyber ​​attacks
4.4.5 Unclear chords
4.4.6 Complexity is a deterrent
4.4.7 Lack of cloud interoperability
4.4.8 Resistance of service providers to audits
4.4.9 Viability of third-party suppliers
4.4.10 No movement of systems and data is free
4.4.11 Lack of integration features in the public cloud = reduced functionality
4.5 Market share and geographic influence
4.6 Analysis of DaaS providers

5.0 Data policies as a service
5.1 General strategies
5.1.1 Focus on data at multiple levels
5.1.2 Value-based pricing
5.1.3 Open development environment
5.2 Strategies for emerging market opportunities
5.2.1 Communication and DaaS service providers
5.2.2 Internet of Things and Data as a Service
5.2.3 Edge networks and data as a service
5.3 Service provider strategies
5.3.1 Telecommunications network operators
5.3.2 Data center providers
5.3.3 Managed Service Providers
5.4 Strategies of infrastructure providers
5.4.1 Activate new business models
5.5 Application Developer Strategies

6.0 Data as a service application
6.1 Business intelligence
6.2 Development environments
6.3 Verification and authorization
6.4 Reports and analyzes
6.5 DaaS in healthcare
6.6 DaaS and wearable technology
6.7 DaaS in the government sector
6.8 DaaS for media and entertainment
6.9 DaaS for telecoms
6.10 DaaS for insurance
6.11 DaaS for utilities and the energy sector
6.12 DaaS for pharmaceuticals
6.13 DaaS for financial services

7.0 Market Outlook and Future of DaaS
7.1 Safety issues
7.2 Cloud trends
7.2.1 Hybrid computing
7.2.2 Multi-Cloud
7.2.3 Exploded cloud
7.2.4 General data trends
7.3 The company takes advantage of its own data and telecommunications
7.3.1 Web API
7.3.2 Enterprise SOA and API
7.3.3 Cloud API
7.3.4 Telecom API
7.4 Data federation emerges for DaaS

8.0 Data as a Service Market Analysis and Forecast 2021-2026
8.1 DaaS Market by sector: Business, public and government
8.2 DaaS Market by source: machine data and not machine data
8.3 DaaS Market by data collection: IoT and non-IoT data
8.4 DaaS markets by type of hosting: private, public and hybrid
8.5 DaaS Markets by Pricing Model
8.6 DaaS Market by service
8.7 DaaS markets by vertical sector

9.0 Regional DaaS Market Analysis and Forecast 2021-2026
9.1 North America Data as a Service Market 2021-2026
9.2 South America Data as a Service Market 2021-2026
9.3 Western Europe Data as a Service Market 2021-2026
9.4 Central and Eastern Europe Data Market as a Service 2021 – 2026
9.5 Asia-Pacific Data as a Service Market 2021 – 2026
9.6 Middle East and Africa Data as a Service Market 2021 – 2026

10.0 Conclusions and Recommendations
10.1.1 DaaS and IoT
10.1.2 DaaS and CSP data
10.1.3 DaaS and enterprise

For more information on this report, visit

Media contact:

Research and markets
Laura Wood, senior
[email protected]

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SOURCE Research and Markets

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