Data as a Service Market Report 2022 - 2027: Edge Computing and Real-Time Data Analytics to Massively Boost Growth - ResearchAndMarkets.com

The "Data as a Service Market by Enterprise, Industrial, Public, and Government Data Applications and Services 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

Select Report Findings:

North America and Western Europe represent the two largest regional markets for DaaS
IoT DaaS is growing nearly three times as fast as non-IoT DaaS, with much of its streaming data
Structured data market remains greater than unstructured, but the latter will overtake the former
Machine-sourced data is growing twice as fast as non-machine data, largely due to IoT apps and services
Analytics as a Service is the largest opportunity and also one of the fastest-growing segments through 2027
The DaaS market will receive a huge boost in both usage and revenue from edge computing and real-time data analytics
Corporate data syndication will become a major driver of DaaS growth, but data security and privacy challenges will limit the expansion

There is considerable competition in the market, happening at a variety of different levels, with features highly variable between vendors. This causes confusion for the enterprise and causes them to often choose two or more providers. Barriers to enterprise adoption of the DaaS model include security concerns, reliability, regulation, vendor lock-in/interoperability, IT management overhead, and other costs.

However, the reasons for implementing DaaS far outweigh the concerns, especially when it comes to IoT data, which must have flexible and scalable platforms for storage, processing, and distribution. Accordingly, enterprise organizations 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.

Another important opportunity area for DaaS is enterprise data syndication, which is the opportunity for companies of various 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 above and beyond the core adoption barriers, which include specific security, privacy, and care of custody concerns.

Market Dynamics

Drivers

Business Intelligence and DaaS Integration
The Cloud Enabler DaaS
XaaS Drives DaaS

Constraints

Need for Data Integration
Issues Relating to Data-as-a-Service Integration

Barriers and Challenges to DaaS Adoption

Enterprises Reluctance to Change
Responsibility of Data Security Externalized
Security Concerns
Cyber Attacks
Unclear Agreements
Complexity is a Deterrent
Lack of Cloud Interoperability
Service Provider Resistance to Audits
Viability of Third-party Providers
No Move of Systems and Data is without Cost
Lack of Integration Features in the Public Cloud = Reduced Functionality

Data as a Service Market Segmentation

DaaS by Sector: Public, Business, and Government Data
DaaS by Data Collection Type: IoT Data and Non-IoT Data
DaaS by Data Source Type: Machine Data and Non-machine Data
DaaS by Data Structure Type: Structured Data and Unstructured Data

Key Topics Covered:

1.0 Executive Summary

2.0 Data as a Service Technologies

3.0 Data as a Service Market Advantages, Use Cases, and Framework

4.0 Data as a Service Market

5.0 Data as a Service Strategies

6.0 Data as a Service Applications

7.0 Market Outlook and Future of DaaS

8.0 Data as a Service Market Analysis and Forecasts 2022 - 2027

9.0 Regional DaaS Market Analysis and Forecasts 2022 - 2027

10.0 Conclusions and Recommendations

11.0 Appendix

Companies Mentioned

1010data
3i Data Scraping
Accenture PLC
Actifio
Acxiom Corporation
Alibaba Group Holding Limited
Alteryx Ltd.
Amazon Web Services, Inc.
Apaleo Marketplace
Appier.com
AtScale Inc.
Bloomberg Finance L.P.
Cisco Systems Inc.
Clickfox
Column Technologies
comScore Inc.
Continental
Coriolis Technologies
Corporate360
Crunchbase, Inc.
CTERA
Datameer
Datasift Inc.
DataStax Inc
Dawex Systems
DC Frontiers Pte. Ltd.
Dell EMC
Demandbase (Whotoo)
Denodo Technologies
Dow Jones & Company, Inc.
Dremio
EMC Corporation
Equifax, Inc.
ESRI, Inc.
Experian plc
Facebook, Inc.
Factiva
Fico
FirstRain, Inc.
GE Predix
getsix group
Gigaspaces
Google Inc.
Guavus Inc.
Hewlett Packard Enterprise
HG Data Company
Hitachi Data Systems
Hoover's
Hortonworks
IBM Corporation
IHS Inc
Infochimps
Infogix, Inc.,
Informatica Corporation
Information Builders Inc.
Information Resources, Inc
Infosys
Intel
Intuit
Iota Foundation
Ipedo
K2View
KBC global
LexisNexis Group
LinkedIn Corporation
MapR Technologies Inc
MariaDB
MasterCard Advisors
Microsoft Corporation
Mighty AI, Inc.
Mindtree
Mobilewalla
Moody's Corporation
Morningstar, Inc
Nielsen Holdings Plc
Optum, Inc.,
Oracle Corporation
Pentaho
PlaceIQ, Inc.
Protel I/O
Qubole
Quest Software
Rackspace
Red Hat
Salesforce.com
SAP SE
SAS Institute
SiteMinder Exchange
SlamData,
SMARTe Inc.
SnapLogic
Snapshot (On Demand)
Snowflake Computing
Splunk
Talend
Teradata
Terbine
Terracotta
The Dun & Bradstreet Corporation
The Weather Company, LLC
Thomson Reuters Corp.
ThoughtSpot Inc.
TIBCO Software Inc
Tresata
Twitter, Inc.
Urban Mapping
Verizon Communications, Inc.
Wisers Information Limited
Workday
Xignite
Zerto

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