Data Warehouse as a Service (DWaaS) Market by Application (Customer Analytics, Asset Management, Fraud Detection & Threat Management), Usage, Industry Vertical, Deployment Model, Type (EDWaaS & ODS) & Organization Size - Global Forecast to 2023
[166 Pages Report] The data warehouse as a service market size is expected to grow from USD 1.2 billion in 2018 to USD 3.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 23.8% during the forecast period. The demand for cloud data warehouse solutions is expected to rise over the next 5 years owing to various factors, including massive amount of structured and unstructured data generated across multiple industries, such as BFSI, retail and eCommerce, government and public sector, and manufacturing industries. Increased adoption of column-oriented data warehouse to perform advanced analytics, rapid growth in data volumes, and increase in regulatory compliance, and rise of private cloud creates ample opportunities for the adoption of cloud data warehouse solutions.
Enterprise DWaaS segment to constitute the largest market size during the forecast period
Data warehouse as a service market is further bifurcated into enterprise data warehouse as a service and operational data stores. Vendors in the data warehouse as a service market are offering solutions that process historic enterprise data and operational and real-time data. Enterprise data warehouse provides decision support service across the enterprise and offers a unified approach for organizing and representing data. These solutions have the ability to classify data and access according to the divisions. Cloud data warehouse has the ability to quickly access the data and provide useful and actionable information. These solutions collect the data in a single location, analyze huge data sets, and make it instantly available as per the requirement.
Rise in online businesses and banking likely to drive the adoption for fraud detection and threat management application leading for the largest market size during the forecast period
Enterprises have huge data volume and lack effective tools to analyze the threats, which make fraudulent activities to go unnoticed, especially in the supply chain management processes. Fraud detection and threat management is among the major challenges faced across industry verticals. Large enterprises have adopted multiple technologies to prevent enterprise data from threats. Companies’ critical and structured data are stored in data warehouse of the organization. Thus, the adoption of cost-effective, cloud-based solution is likely to drive the market for fraud detection in the data warehouse as a service market.
Private cloud segment to grow at the highest CAGR during the forecast period
Cloud data warehouse solutions are a channel to bring the structured data from legacy on-premises data warehouses together. As a result, cloud solutions provide insights to companies that they previously would not have been aware of. Enterprises have started adopting cloud-based deployment solutions to maintain their enterprise data. Private clouds offer simplicity along with heightened levels of control over enterprise data and applications. Enterprises with private cloud can gain a comprehensive view of their supply chain and gain crucial insights to manage their value chain incorporating suppliers, distributors, logistics, transportation, and retail locations to understand and forecast demand, manage supply, and track inventory in real time.
North America to account for the largest market size during the forecast period.
The global data warehouse as a service market by region covers 5 major geographic regions: North America, Asia Pacific (APAC), Europe, the Middle East and Africa (MEA), and Latin America. North America constitutes the highest market share, owing to the early adoption of data warehouse as a service, as well as prominent initiatives taken by the industry players in the form of partnerships with different technology players in the region. The US and Canada are 2 two prominent markets in North America that are witnessing healthy adoption of advanced technologies, such as cloud data warehouse solutions.
Key Market Players
The data warehouse as a service market comprises major providers, such as IBM, AWS, Google, Microsoft, Snowflake, Teradata, SAP, Micro Focus, Hortonworks, Cloudera, Actian, 1010data, Pivotal Software, Solver, Yellowbrick, Panoply, MarkLogic, MemSQL, Netavis, LUX Fund Technology & Solutions, Transwarp Technology, Accur8 Software, AtScale, and Veeva. The study includes in-depth competitive analysis of these key players in the global market with their company profiles, recent developments, and key market strategies.
Recent Developments:
- In December 2018, Snowflake announced the general availability of Microsoft Azure in EMEA. The company leverages Azure infrastructure services for data storage and query processing and has added new features, including accelerated networking and storage soft delete.
- In September 2018, Accu8 Software introduced its Data Migration as a Service (DMaaS) for the IBMi Series AS/400, a line of computer systems. IBMi runs on IBM Power Systems and on IBM PureSystems. It facilitates small and mid-sized enterprises to migrate their data from their existing IBMi environment (i.e. AS/400) over to a cloud platform, such as Amazon AWS or Microsoft Azure.
- In April 2018, Microsoft partnered with C3 IoT to deliver new technology developments and provide go-to-market strategies that accelerate enterprises AI and IoT application developments. Combining the market reach of Microsoft Azure and the capability of the C3 IoT AI platform, the company plans to accelerate the adoption of AI, IoT, and elastic cloud computing globally.
- In June 2017, Solver launched a new version of cloud CPM suite, BI360 Cloud, built on and for Microsoft Azure. This will help companies produce high quality reports, consolidations, and budgets on the Microsoft Azure platform more easily, secure integrations to Microsoft Dynamics 365 and other cloud and on-premises accounting systems.
Key questions addressed by the report:
- What are the opportunities in the data warehouse as a service market?
- What is the competitive landscape in the data warehouse as a service market?
- What are the regulations that will impact the data warehouse as a service market?
- How are mergers and acquisitions evolving the market?
- What are the dynamics of the data warehouse as a service market?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 18)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Covered
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. - 22)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Breakup of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Market Forecast
2.5 Research Assumptions and Limitations
2.6 Limitations
3 Executive Summary (Page No. - 30)
4 Premium Insights (Page No. - 35)
4.1 Attractive Opportunities in the Data Warehouse as a Service Market
4.2 Data Warehouse as a Service Market: Market Share, By Region
4.3 Data Warehouse as a Service Market, Deployment Model
4.4 Data Warehouse as a Service Market in Europe: Top 3 Applications and Country
5 Market Overview and Industry Trends (Page No. - 38)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Adoption of Private Cloud
5.2.1.2 Increasing Demand for Column-Oriented Data Warehouse Solutions to Perform Advanced Analytics
5.2.1.3 Rapid Growth in Data Volumes
5.2.1.4 Increasing Need to Comply With Regulations and Standards
5.2.2 Restraints
5.2.2.1 Reluctance to Shift From Traditional Etl Tools to Cloud
5.2.3 Opportunities
5.2.3.1 Growing Application of AI in Data Warehouse
5.2.3.2 Growing Demand From SMEs
5.2.4 Challenges
5.2.4.1 Lack of Skilled Personnel and Cloud Data Security
5.3 Industry Trends
5.3.1 Data Warehouse as a Service Market: Use Cases
5.3.1.1 Use Case 1: Increased Speed of Operation With Cost Reduction
5.3.1.2 Use Case 2: Optimize Frauds Related to Tax Reductions
5.3.1.3 Use Case 3: Enhancing the Speed of Data Transfer and Automation Over the Cloud
5.3.2 Regulations
5.3.2.1 HIPAA of 1996
5.3.2.2 Eu GDPr
5.3.2.3 CSCC
5.3.2.4 SOX Act of 2002
5.3.3 Evolution
6 Data Warehouse as a Service Market, By Type (Page No. - 45)
6.1 Introduction
6.2 Enterprise Data Warehouse as a Service
6.2.1 Organizational Need to Consolidate and Operate Data and Provide Access to the Right Users
6.3 Operational Data Storage
6.3.1 Benefit of Complementing an Organization’s Current and Future Requirements
7 Data Warehouse as a Service Market, By Usage (Page No. - 49)
7.1 Introduction
7.2 Analytics
7.2.1 Increasing Demand for Higher Data Quality and the Need to Deliver Sound Decision-Making Skills
7.3 Reporting
7.3.1 The Increasing Need to Generate Reports Based on Online and Offline Data
7.4 Data Mining
7.4.1 Demand for Processes to Optimize Outcomes, Automate Processes, and Extract Impactful Insights
8 Data Warehouse as a Service Market, By Deployment Model (Page No. - 54)
8.1 Introduction
8.2 Public Cloud
8.2.1 Scalability, Flexibility, and Reliability Benefits
8.3 Private Cloud
8.3.1 Need for Highly Secure Operating Environment
8.4 Hybrid Cloud
8.4.1 Varying Business Demands to Address Threats and Manage Complex Workloads
9 Data Warehouse as a Service Market, By Organization Size (Page No. - 59)
9.1 Introduction
9.2 Small and Medium-Sized Enterprises
9.2.1 Need for Cost-Effective Solutions to Meet Budgets and Lead to Business Growth
9.3 Large Enterprises
9.3.1 Need to Manage Huge Heaps of Accumulated Data Over A Public Or Private Cloud
10 Data Warehouse as a Service Market, By Application (Page No. - 63)
10.1 Introduction
10.2 Customer Analytics
10.2.1 Need for Companies to Reduce Their Business Expenditure
10.3 Risk and Compliance Management
10.3.1 Need to Ensure Faster Time-To-Analysis in Risk and Compliance Data
10.4 Asset Management
10.4.1 Increasing Need for Automation in Multiple Industries
10.5 Supply Chain Management
10.5.1 Need for Demand Forecasting for Better Inventory, Production, and Distribution Management
10.6 Fraud Detection and Threat Management
10.6.1 Increasing Need to Detect and Identify Fraudulent Activities in Customer Accounts
10.7 Others
11 Data Warehouse as a Service Market, By Industry Vertical (Page No. - 71)
11.1 Introduction
11.2 Banking, Financial Services, and Insurance
11.2.1 Massive Parallel Processing With Advanced Cloud Data Warehouse to Enable Organizations With Better Activity Monitoring
11.3 Retail and Ecommerce
11.3.1 The Need to Understand Real-Time Customers’ Behavior for Improving Decision-Making Skills
11.4 Healthcare and Pharmaceuticals
11.4.1 Leveraging Technologies to Manage Patient-Related Critical Information
11.5 Telecommunications and It
11.5.1 Data Monetization Compels High-Volume Data Businesses to Benefit From Using Cloud-Based Solutions
11.6 Government and Public Sector
11.6.1 The Need to Search and Analyze Real-Time Terrorist Data and Threats
11.7 Manufacturing
11.7.1 Gradual Use of Cloud-Based Technologies to Analyze Customers’ Behavior
11.8 Media and Entertainment
11.8.1 Increasing Number of Mobile Apps and Customer Base Demand Faster Data Processing Solutions
11.9 Travel and Hospitality
11.9.1 The Need to Monitor and Mitigate the Impact of Traffic on Commuters
11.10 Others
12 Data Warehouse as a Service Market, By Region (Page No. - 82)
12.1 Introduction
12.2 North America
12.2.1 United States
12.2.1.1 The Presence of Leading Global Players and Early Adoption of Cloud Solutions
12.2.2 Canada
12.2.2.1 Growing Investments in Data Management Solutions for Better Decision-Making
12.3 Europe
12.3.1 United Kingdom
12.3.1.1 Strategic Partnerships and Supportive Government Mandates to Drive Business Models in Data-Driven Industries
12.3.2 Germany
12.3.2.1 Numerous Industry Sectors, Such as Pharmaceuticals and Healthcare, to Adopt IoT and Big Data
12.3.3 France
12.3.3.1 Significant Investments in AI and Big Data
12.3.4 Rest of Europe
12.4 Asia Pacific
12.4.1 Japan
12.4.1.1 Increasing Investments in New Technologies and Rising Demand to Deal With Huge Data Volumes
12.4.2 China
12.4.2.1 Increasing Digitalization and Regulatory Mandates at the Forefront
12.4.3 Singapore
12.4.3.1 Strategic Partnerships and Acquisitions By Companies
12.4.4 India
12.4.4.1 Increasing Number of Collaborations Between Global and Local Players to Offer Best-In-Class Customer Experience
12.4.5 Rest of Asia Pacific
12.5 Middle East and Africa
12.5.1 Middle East
12.5.1.1 UAE, Qatar, and Saudi Arabia to Witness Higher Adoption of Cloud-Based IoT Solutions
12.5.2 Africa
12.5.2.1 Supportive Government Policies
12.6 Latin America
12.6.1 Brazil
12.6.1.1 Growth in Smart Cities and IoT Technologies to Generate Large Volumes of Data
12.6.2 Mexico
12.6.2.1 The Trend Adopting Data Management Solutions on the Rise
12.6.3 Rest of Latin America
13 Competitive Landscape (Page No. - 107)
13.1 Overview
13.2 Competitive Scenario
13.2.1 New Product Launches and Product Upgradations
13.2.2 Partnerships and Collaborations
13.2.3 Business Expansions
13.3 DWaaS Market: Prominent Players
14 Company Profiles (Page No. - 113)
(Business Overview, Products/ Services/ Solutions/ Tools/ Platforms Offered, Recent Developments, SWOT Analysis, and MnM View)*
14.1 AWS
14.2 IBM
14.3 Microsoft
14.4 Google
14.5 Oracle
14.6 SAP
14.7 Micro Focus
14.8 1010data
14.9 Cloudera
14.10 Snowflake
14.11 Pivotal
14.12 Yellowbrick
14.13 Hortonworks
14.14 Teradata Corporation
14.15 Veeva Systems
14.16 Accur8 Software
14.17 Actian
14.18 Atscale
14.19 Lux
14.20 Marklogic
14.21 Memsql
14.22 Netavis Software
14.23 Panoply
14.24 Solver
14.25 Transwarp
*Details on Business Overview, Products/ Services/ Solutions/ Tools/ Platforms Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.
15 Appendix (Page No. - 158)
15.1 Insights From Industry Experts
15.2 Discussion Guide
15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
15.4 Available Customization
15.5 Related Reports
15.6 Author Details
List of Tables (74 Tables)
Table 1 United States Dollar Exchange Rate, 2014–2017
Table 2 Factor Analysis
Table 3 Data Warehouse as a Service Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 4 Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 5 Enterprise Data Warehouse as a Service: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 6 Operational Data Storage: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 7 Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 8 Analytics: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 9 Reporting: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 10 Data Mining: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 11 Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 12 Public Cloud: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 13 Private Cloud: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 14 Hybrid Cloud: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 15 Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 16 Small and Medium-Sized Enterprises: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 17 Large Enterprises: Data Warehouse-As-Service Market Size, By Region, 2016–2023 (USD Million)
Table 18 Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 19 Customer Analytics: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 20 Risk and Compliance Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 21 Asset Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 22 Supply Chain Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 23 Fraud Detection and Threat Management: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 24 Others: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 25 Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 26 Banking, Financial Services, and Insurance: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 27 Retail and Ecommerce: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 28 Healthcare and Pharmaceuticals: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 29 Telecommunications and It: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 30 Government and Public Sector: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 31 Manufacturing: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 32 Media and Entertainment: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 33 Travel and Hospitality: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 34 Others: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 35 Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 36 North America: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 37 North America: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 38 North America: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 39 North America: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 40 North America: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 41 North America: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 42 North America: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 43 Europe: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 44 Europe: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 45 Europe: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 46 Europe: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 47 Europe: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 48 Europe: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 49 Europe: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 50 Asia Pacific: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 51 Asia Pacific: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 52 Asia Pacific: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 53 Asia Pacific: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 54 Asia Pacific: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 55 Asia Pacific: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 56 Asia Pacific: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 57 Middle East and Africa: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 58 Middle East and Africa: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 59 Middle East and Africa: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 60 Middle East and Africa: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 61 Middle East and Africa: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 63 Middle East and Africa: Data Warehouse as a Service Market Size, By Region, 2016–2023 (USD Million)
Table 64 Latin America: Data Warehouse as a Service Market Size, By Application, 2016–2023 (USD Million)
Table 65 Latin America: Data Warehouse as a Service Market Size, By Type, 2016–2023 (USD Million)
Table 66 Latin America: Data Warehouse as a Service Market Size, By Usage, 2016–2023 (USD Million)
Table 67 Latin America: Data Warehouse as a Service Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 68 Latin America: Data Warehouse as a Service Market Size, By Organization Size, 2016–2023 (USD Million)
Table 69 Latin America: Data Warehouse as a Service Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 70 Latin America: Data Warehouse as a Service Market Size, By Country, 2016–2023 (USD Million)
Table 71 New Product Launches and Product Enhancements, 2018
Table 72 Partnerships and Collaborations, 2018
Table 73 Business Expansions, 2016–2018
Table 74 Key Players in the Data Warehouse as a Service Market
List of Figures (46 Figures)
Figure 1 Data Warehouse as a Service Market: Research Design
Figure 2 Breakup of Primary Participants’ Profiles: By Company, Designation, and Region
Figure 3 Data Warehouse as a Service Market: Bottom-Up Approach
Figure 4 Data Warehouse as a Service Market: Top-Down Approach
Figure 5 Data Warehouse as a Service Market Snapshot, By Region, 2018 vs 2023
Figure 6 Data Warehouse as a Service Market Snapshot, By Type, 2018 vs 2023
Figure 7 Data Warehouse as a Service Market Snapshot, By Deployment Model, 2018 vs 2023
Figure 8 Data Warehouse as a Service Market Snapshot, By Usage, 2018 vs 2023
Figure 9 Data Warehouse as a Service Market Snapshot, By Application, 2018 vs 2023
Figure 10 Data Warehouse as a Service Market Snapshot, By Industry Vertical, 2018–2023
Figure 11 Rapid Growth in Data Volumes to Drive the Market
Figure 12 North America to Account for the Highest Market Share in 2018
Figure 13 Private Cloud Segment to Dominate the Market in 2018
Figure 14 Customer Analytics Application and Germany to Hold the Highest Market Shares in 2018
Figure 15 Drivers, Restraints, Opportunities, and Challenges: Data Warehouse as a Service Market
Figure 16 Data Warehouse as a Service Evolution
Figure 17 Operational Data Store Segment to Grow at A Higher CAGR During the Forecast Period
Figure 18 Analytics Segment to Grow at the Highest CAGR During the Forecast Period
Figure 19 On-Premises Deployment Model to Grow at the Highest CAGR During the Forecast Period
Figure 20 Small and Medium-Sized Enterprises Segment to Grow at A Higher CAGR During the Forecast Period
Figure 21 Supply Chain Management Application to Grow at the Highest CAGR During the Forecast Period
Figure 22 Healthcare and Pharmaceuticals Industry Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 23 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 24 North America: Market Snapshot
Figure 25 Asia Pacific: Market Snapshot
Figure 26 Key Developments By the Leading Players in the Data Warehouse as a Service Market, 2017–2018
Figure 27 AWS: Company Snapshot
Figure 28 SWOT Analysis: AWS
Figure 29 IBM: Company Snapshot
Figure 30 SWOT Analysis: IBM
Figure 31 Microsoft: Company Snapshot
Figure 32 SWOT Analysis: Microsoft
Figure 33 Google: Company Snapshot
Figure 34 SWOT Analysis: Google
Figure 35 Oracle: Company Snapshot
Figure 36 SWOT Analysis: Oracle
Figure 37 SAP: Company Snapshot
Figure 38 SWOT Analysis: SAP
Figure 39 Micro Focus: Company Snapshot
Figure 40 SWOT Analysis: Micro Focus
Figure 41 SWOT Analysis: 1010data
Figure 42 Cloudera: Company Snapshot
Figure 43 Pivotal: Company Snapshot
Figure 44 Hortonworks: Company Snapshot
Figure 45 Teradata Corporation: Company Snapshot
Figure 46 Veeva Systems: Company Snapshot
The study involved 4 major activities to estimate the current market size for the data warehouse as a service market. An exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, the market breakdown and data triangulation procedures were used to estimate the market size of the segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources, such as Hoovers, Bloomberg Businessweek, and Dun & Bradstreet, have been referred to identify and collect information for this study. These secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications and articles by recognized authors; gold standard and silver standard websites; data warehouse as a service technology Research and Development (R&D) organizations; regulatory bodies; and databases.
Primary Research
Various primary sources from both supply and demand sides of the data warehouse as a service market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply-side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors who provide the data warehouse as a service software, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Following is the breakdown of the primary respondents:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
For making market estimates and forecasting the data warehouse as a service market and other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global data warehouse as a service market using key companies’ revenues and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market have been identified through extensive secondary research.
- The market size, in terms of value, has been determined with the help of the primary and secondary research processes.
- All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.
Data Triangulation
With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and forecast the data warehouse as a service market based on type, usage, application, deployment model, organization size, industry vertical, and region
- To provide detailed information related to major factors, such as drivers, restraints, opportunities, and challenges, influencing the growth of the market
- To analyze the market subsegments with respect to individual growth trends, prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide the competitive landscape of the market
- To forecast the revenue of the market segments with respect to 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile the key players and comprehensively analyze their recent developments and positioning in the data warehouse as a service market
- To analyze the competitive developments, such as mergers and acquisitions, new product developments, and R&D activities in the market
Scope of the Report
|
Report Metrics |
Details |
|
Market size available for years |
2016–2023 |
|
Base year considered |
2017 |
|
Forecast period |
2018–2023 |
|
Forecast units |
Million (USD) |
|
Segments covered |
Type, Usage, Deployment Model, Organization Size, Industry Vertical, and Application |
|
Regions covered |
North America, APAC, Europe, Latin America, and MEA |
|
Companies covered |
IBM (US), AWS (US), Google (US), Microsoft (US), Snowflake (US), Teradata (US), SAP (Germany), Micro Focus (UK), Hortonworks (US), Cloudera (US), Actian (US), 1010data (US), Pivotal Software (US), Solver (US), Yellowbrick (US), Panoply (US), MarkLogic (US), MemSQL (US), Netavis (Austria), LUX Fund Technology & Solutions (US), Transwarp Technology (China), Accur8 Software (US), AtScale (US), and Veeva (US) |
This research report categorizes the data warehouse as a service market based on type, usage, application, deployment model, organization size, industry vertical, and region.
Based on type, the data warehouse as a service market has been segmented as follows:
- Enterprise DWaaS
- Operational Data Stores
Based on application, the data warehouse as a service market has been segmented as follows:
- Customer Analytics
- Risk and Compliance Management
- Asset Management
- Supply Chain Management
- Fraud Detection and Threat Management
- Others
Based on usage, the data warehouse as a service market has been segmented as follows:
- Analytics
- Reporting
- Data Mining
Based on deployment model, the data warehouse as a service market has been segmented as follows
- Public
- Private
- Hybrid
Based on organization size, the data warehouse as a service market has been segmented as follows
- Small and Medium-sized Enterprises (SMEs)
- Large Enterprises
Based on industry verticals, the data warehouse as a service market has been segmented as follows
- BFSI
- Retail and eCommerce
- Healthcare and Pharmaceuticals
- Telecom and IT
- Travel and Hospitality
- Manufacturing
- Media and Entertainment
- Government and Public Sector
- Others (Academia and Research, Energy and Utilities)
Based on regions, the data warehouse as a service market has been segmented as follows:
- North America
- Europe
- APAC
- Latin America
- MEA
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product matrix gives a detailed comparison of the product portfolio of each company
Company Information
- Detailed analysis and profiling of additional market players up to 5
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the Data Warehouse as a Service (DWaaS) Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Growth opportunities and latent adjacency in Data Warehouse as a Service (DWaaS) Market