The Worldwide Data Warehouse as a Service Industry is Expected to Reach $12.9 Billion by 2026

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Aug 25, 2021, 14:45 ET

DUBLIN, Aug. 25, 2021 /PRNewswire/ -- The "Global Data Warehouse as a Service Market with COVID-19 Impact by Application (Customer Analytics, Business Intelligence, Operational Analytics, Predictive Analytics), Vertical, Deployment Model, Type(EDWaaS & ODS), & Organization Size - Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.

The global Data Warehouse as a Service (DWaaS) market size is expected to grow at a Compound Annual Growth Rate (CAGR) of 22.3% during the forecast period, to reach USD 12.9 billion by 2026 from USD 4.7 billion in 2021.

Key factors that are expected to drive the growth of the market are the increasing role of business intelligence and data analytics in enterprise management, growing dependence on data-driven decision-making to improve business performance, and requirement of regulatory governance and security.

The COVID-19 Impact on the global data warehouse as a service market

The recent economic slowdown with the impact of COVID-19 emphasizes the need for alternate business systems. It has become important for businesses to embrace cloud computing and migrate to cloud data warehouses. This will help organizations to have a stable business condition in the short term while targeting continued growth and expansion in the long run. Organizations across different verticals are leveraging data warehouse services due to various advantages including higher availability, low latency, scalability, and enterprise-grade security.

Operational data storage segment to grow at a higher CAGR during the forecast period

Based on the type, the market is segmented into two categories: enterprise data warehouse as service and operational data storage. The market for operational data storage is expected to grow at a higher CAGR during the forecast period. The growth is mainly attributed to the increasing demand for real-time data analytics and reporting. The implementation of ODS in an enterprise complements the existing data infrastructure and supports the current and future needs of the enterprise. In addition, the growing use of AI in data warehouses is likely to provide future growth opportunities for the ODS segment. Companies operating in the DWaaS market provide advanced solutions to meet the rapid growth of data volumes and to adhere to regulatory compliance mandates.

Public cloud segment to account for a higher market share during the forecast period

The DWaaS market is segmented by deployment type into public and private cloud. The public cloud segment account for a higher share of the DWaaS market during the forecast period due to increasing investments in mobility, collaboration and other remote working technology and infrastructure. While the private cloud model is gaining popularity in organizations to overcome security and data privacy challenges.

Healthcare and life sciences vertical to grow at a higher CAGR during the forecast period

Healthcare and life sciences is one of the fastest-growing verticals as the industry is undergoing extensive development, with advancements in technologies, thereby enhancing the overall industry vertical. The quality of information and the interest toward quality medicinal administrations have turned out to be progressively imperative. Initially, owing to data complexities and a variety of medical cum clinical data, the adoption of DWaaS solutions in the healthcare sector was comparatively slow. However, over the past years, the increase in the usage of DWaaS solutions has proved to be handy in administrative and clinical areas. The vast amounts of data generated over the years have been used in a variety of areas, right from enhancing patient health to pharmaceuticals testing.

North America to account for the highest market share during the forecast period

The DWaaS market is segmented into five regions: North America, Europe, APAC, MEA, and Latin America. The DWaaS report provides insights into these regional markets in terms of market size, growth rates, future trends, market drivers, and COVID-19 impact. North America is expected to hold the highest market share in the overall DWaaS market during the forecast period. Following North America, Europe is expected to hold the second-highest market share during the forecast period. the growth is mainly attributed to the presence of various developed economies, such as the United States (US) and Canada, and due to the focus on innovations obtained from R&D and advanced technologies. The increased penetration of DWaaS solutions in multiple industry verticals, such as manufacturing, healthcare and pharmaceuticals, and the government and public sector, is driving the growth of this market in this region. PAC and MEA are also expected to witness high growth rates during the forecast period.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Attractive Growth Opportunities in Data Warehouse as a Service Market
4.2 Market, by Application, 2021 Vs. 2026
4.3 Market, by Deployment Model, 2021
4.4 Market, by Organization Size, 2021
4.5 Market, by Vertical, 2021 Vs. 2026
4.6 Data Warehouse as a Service Market: Regional Scenario, 2021-2026

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Role of Business Intelligence and Data Analytics in Enterprise Management
5.2.1.2 Growing Dependence on Data-Driven Decision Making to Improve Business Performance
5.2.1.3 Requirement for Regulatory Governance and Security
5.2.2 Restraints
5.2.2.1 Lack of Resources and Expertise
5.2.2.2 High Cost of Implementation and Complexity in Utilizing Data Warehouse Services
5.2.3 Opportunities
5.2.3.1 Rapid Deployment of Large-Scale Cloud Data Warehouses
5.2.3.2 Rise in Adoption of Virtual Data Warehousing to Speed Up Data Access Process
5.2.4 Challenges
5.2.4.1 Lack of Proper Structure for Access Control
5.2.4.2 Ensuring Acceptable Data Quality
5.3 Case Study Analysis
5.3.1 Case Study 2: Real-Time Analytics to Improve Data Governance
5.3.2 Case Study: 3 Accelerated Business Insights
5.4 Technological Analysis
5.4.1 Artificial Intelligence and Machine Learning
5.4.2 Cloud Computing
5.4.3 Big Data and Analytics
5.5 Patent Analysis
5.6 COVID-19-Driven Market Dynamics
5.6.1 Drivers and Opportunities
5.6.2 Restraints and Challenges
5.7 Porter's Five Forces Analysis
5.8 Pricing Analysis
5.9 Ecosystem
5.10 Value Chain Analysis

6 Data Warehouse as a Service Market, by Application
6.1 Introduction
6.1.1 Applications: Market Drivers
6.1.2 Applications: COVID-19 Impact
6.2 Business Intelligence
6.3 Customer Analytics
6.4 Data Modernization
6.5 Operational Analytics
6.6 Predictive Analytics

7 Data Warehouse as a Service Market, by Type
7.1 Introduction
7.1.1 Type: Market Drivers
7.1.2 Type: COVID-19 Impact
7.2 Enterprise Data Warehouse as a Service
7.3 Operational Data Storage

8 Data Warehouse as a Service Market, by Deployment Model
8.1 Introduction
8.1.1 Deployment Model: Market Drivers
8.1.2 Deployment Model: COVID-19 Impact
8.2 Public Cloud
8.3 Private Cloud

9 Data Warehouse as a Service Market, by Organization Size
9.1 Introduction
9.1.1 Organization Size: Market Drivers
9.1.2 Organization Size: COVID-19 Impact
9.2 Large Enterprises
9.3 Small and Medium-Sized Enterprises

10 Data Warehouse as a Service Market, by Vertical
10.1 Introduction
10.1.1 Verticals: Market Drivers
10.1.2 Verticals: COVID-19 Impact
10.2 Banking, Financial Services, and Insurance
10.3 Energy and Utilities
10.4 Government and Public Sector
10.5 Healthcare and Life Sciences
10.6 It and Ites
10.7 Manufacturing
10.8 Media and Entertainment
10.9 Retail and Consumer Goods
10.10 Telecommunications
10.11 Others

11 Data Warehouse as a Service Market, by Region

12 Competitive Landscape
12.1 Introduction
12.2 Market Share of Top Vendors
12.3 Historical Revenue Analysis of Top Vendors
12.4 Company Evaluation Quadrant
12.4.1 Definitions and Methodology
12.4.2 Star
12.4.3 Emerging Leader
12.4.4 Pervasive
12.4.5 Participant
12.5 Sme Evaluation Quadrant
12.5.1 Definitions and Methodology
12.5.2 Progressive Companies
12.5.3 Responsive Companies
12.5.4 Dynamic Companies
12.5.5 Starting Blocks
12.6 Competitive Scenario

13 Company Profiles
13.1 Introduction
13.2 Key Players
13.2.1 Aws
13.2.2 Ibm
13.2.3 Microsoft
13.2.4 Google
13.2.5 Oracle
13.2.6 Sap
13.2.7 Snowflake
13.2.8 Micro Focus
13.2.9 Teradata
13.2.10 1010Data
13.2.11 Cloudera
13.2.12 Pivotal
13.2.13 Yellowbrick
13.2.14 Veeva Systems
13.2.15 Actian
13.2.16 Marklogic
13.2.17 Netavis Software
13.2.18 Solver
13.3 Other Players
13.3.1 Accur8 Software
13.3.2 Atscale
13.3.3 Panoply
13.3.4 Singlestore
13.3.5 Transwarp