Data as a Service DaaS Market Report 2025 (Global Edition)

Global Data as a Service DaaS Market Report 2025 Market Size Split by Type (Public Cloud, Private Cloud, Hybrid Cloud), by Pricing Model (Volume-based model, daData-based model), by Organization Size ...

Data as a Service DaaS Market Report Description

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Competitive Landscape of Data as a Service Industry

There are several market leaders, many of whom have subsidiaries in the same sector. As technology evolves, so does the digital revolution and the processing of sensitive data through data security solutions. Large and medium-sized firms are common in North America and Europe. Despite the scarcity of replacements, competition is intense. Businesses can secure critical data while enhancing overall efficiency thanks to technology advancements.
The steady improvement of technology results in a more extensive and standardized industry, even if it necessitates large expenditures. As a result of standardization, the data as a service (DaaS) movement has extended to numerous markets. Companies are focusing on data as a service (DaaS) to enable merchant systems to communicate with consumer wearable devices.
For instance, Oracle Corporation is a global computer technology firm established in Austin, Texas. Oracle Corporation was the world's third-largest software firm in terms of market capitalization and revenue in 2020. Oracle MySQL HeatWave now supports in-database machine learning in addition to transaction processing and analytics, according to a corporate announcement made on March 29, 2022. MySQL HeatWave is entirely focused on automating the machine learning lifecycle and retains all trained models within the MySQL database, avoiding the need to move data or models to a machine learning tool or service. Eliminating Extract, Transform, and Load (ETL) reduces application complexity, saves money, and improves data and model security. 

Top Companies Market Share in Data as a Service DaaS Industry: (In no particular order of Rank)

• IBM
• Oracle
• SAP SE
• HPE
• Microsoft Azure
• Teradata
• Amazon Web Services(AWS)
• Google
• Bloomberg Finance
• Dow Jones & Company
• Esri
• Others
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*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

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Which region dominates the Data as a Service DaaS?

The North American data as a service (DaaS) market is expected to grow at a substantial CAGR during the research period, reaching XX million in 2023 making it the most dominant region in this market. One of the primary reasons driving regional market expansion is the increase in data creation across industries such as retail, BFSI, healthcare, and government. Furthermore, the rising volume of real-time customer data, as well as the need to foresee consumer requirements, are driving market expansion in North America. The United States is a prominent market in the area because of the rising usage of DaaS devices and the transition from traditional desktops to cloud-based workspace virtualization. Due to the presence of sophisticated nations, North America dominates the data as a service (DaaS) industry.
Furthermore, the increased use of DaaS devices, as well as the transition away from traditional desktops to cloud-based workspace virtualization, will drive development in the region's data as a service (DaaS) market during the projection period.
For instance, First Rate Ventures, a FinTech-focused venture capital firm, invested in RegAlytics, a supplier of comprehensive and customizable cross-sector regulatory alert services, in March of this year. RegAlytics provides data services to some of the world's most prominent financial institutions and exchanges. Every day, RegAlytics delivers cohesive, customizable, and rigorously reviewed regulatory data from over 5,000 authorities. Furthermore, in June of this year, First Rate Ventures, a FinTech-focused venture capital firm, invested in OWL ESG through its newly created $25 million venture capital fund. OWL ESG offers data, indices, assessment criteria, and other tools to help investors make educated decisions while making a difference. To collect and combine ESG data from millions of sources, the organization makes use of machine learning and natural language processing (NLP). (Source: https://www.prweb.com/releases/first-rate-ventures-announces-investment-in-regalytics-808494283.html)
 

The current report Scope analyzes Data as a Service DaaS Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium)
• Asia-Pacific (China, Japan, Korea, India, Australia, Philippines, Singapore, Malaysia, Thailand, Indonesia, Rest of APAC)
• South America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East and Africa (Saudi Arabia, Turkey, Nigeria, UAE, Egypt, South Africa, GCC Countries, Rest of MEA)

The above graph is for illustrative purposes only.

Data as a Service DaaS Market Analysis

How are segments performing in the Data as a Service DaaS Industry? 

Data as a Service DaaS Type Segmental Analysis

The market division for data as a service (DaaS) comprises public, private, and hybrid segments based on the mode of deployment. Organisations are increasingly adopting hybrid cloud due to its cost-effectiveness, agility, usability, and security; as a result, the hybrid segment held the majority share in 2021, accounting for roughly 51–55% of the data as a service (DaaS) market revenue. Furthermore, an organisation using hybrid cloud computing can run its most sensitive workloads on its servers while hosting less critical resources on a public cloud. Businesses can benefit from both public and private cloud models with this technique. 
•    Public
•    Private 
•    Hybrid
 

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Data as a Service Daas Pricing Type Analysis

Data type-based models led the market in 2023 and are predicted to be the fastest-growing sector between 2024 and 2031. A database model illustrates a database's logical organization, including the links and constraints that control how data is accessed and stored. Furthermore, the volume of data generated by many organizations is always increasing. Many firms aim to acquire a competitive advantage by extracting and utilizing insights from large volumes of data provided by many departments. Companies are increasingly using DaaS solutions to assist in the collecting, processing, and analysis of huge amounts of data, which is expected to raise this segment's revenue during the forecast period. 
•    Volume-based model
•    Data-based model 
 

The above Graph is for representation purposes only. This chart does not depict actual Market share.

Data as a Service DaaS Organization Size Segment Analysis

Based on the size of the organisation, SMEs and large enterprises are included in the data as a service (DaaS) market segmentation. Due to the growing use of big data solutions by large businesses to combine their internal and external data to generate insightful data, the large enterprise segment held the largest market revenue share in 2021. Because DaaS enables faster data access for organisations, big businesses are being encouraged to increase their investment in this service. This is expected to sustain revenue growth in the market for the duration of the forecast. 

• SMEs
• Large Enterprises

Author's Detail

Manoj Phagare

Senior Research Analyst at Cognitive Market Research

LinkedIn

Profile

• Worked on several market, industry & business research projects, on various models such as Syndicated, Custom, Subscriptions and Consults
• Proficient in secondary research and familiar with all paid research databases
• Proficient in primary research and handling client queries through mails and calls
• Expertise in statistical techniques used in data forecasting, possess strong grip on all aspects of market engineering & data analysis
• Expertise in checking feasibility of projects based on Request for Proposal (RFPs) of clients
• Acquainted with entire process of report writing- Title Analysis, TOC Building, Search Engine Optimization, TOC Freezing, Writing Reports, Market Engineering, Scheduling Primaries, Directory of Key Industry Participants (DKIP), Drafting “Press Articles/Summary/Report Description/Analyst Briefing” used for making marketing collaterals 
• Gained team-work skills in coordinating with the sales teams for business development and meeting needs of a variety of clients hand-in-hand with promoting sales.

Author's Conclusion