Data Warehouse as a Service (DWaaS) Market

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 Market: Market Share, By Region
    4.3 Market, Deployment Model
    4.4 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 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 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 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 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 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 Market Size, By Type, 2016–2023 (USD Million)
Table 5 Enterprise Data Warehouse as a Service: Market Size, By Region, 2016–2023 (USD Million)
Table 6 Operational Data Storage: Market Size, By Region, 2016–2023 (USD Million)
Table 7 Market Size, By Usage, 2016–2023 (USD Million)
Table 8 Analytics: Market Size, By Region, 2016–2023 (USD Million)
Table 9 Reporting: Market Size, By Region, 2016–2023 (USD Million)
Table 10 Data Mining: Market Size, By Region, 2016–2023 (USD Million)
Table 11 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: Market Size, By Region, 2016–2023 (USD Million)
Table 14 Hybrid Cloud: Market Size, By Region, 2016–2023 (USD Million)
Table 15 Market Size, By Organization Size, 2016–2023 (USD Million)
Table 16 Small and Medium-Sized Enterprises: 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 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: Market Size, By Region, 2016–2023 (USD Million)
Table 21 Asset Management: Market Size, By Region, 2016–2023 (USD Million)
Table 22 Supply Chain Management: Market Size, By Region, 2016–2023 (USD Million)
Table 23 Fraud Detection and Threat Management: Market Size, By Region, 2016–2023 (USD Million)
Table 24 Others: Market Size, By Region, 2016–2023 (USD Million)
Table 25 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: Market Size, By Region, 2016–2023 (USD Million)
Table 28 Healthcare and Pharmaceuticals: Market Size, By Region, 2016–2023 (USD Million)
Table 29 Telecommunications and It: Market Size, By Region, 2016–2023 (USD Million)
Table 30 Government and Public Sector: Market Size, By Region, 2016–2023 (USD Million)
Table 31 Manufacturing: Market Size, By Region, 2016–2023 (USD Million)
Table 32 Media and Entertainment: Market Size, By Region, 2016–2023 (USD Million)
Table 33 Travel and Hospitality: Market Size, By Region, 2016–2023 (USD Million)
Table 34 Others: Market Size, By Region, 2016–2023 (USD Million)
Table 35 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: Market Size, By Type, 2016–2023 (USD Million)
Table 38 North America: Market Size, By Usage, 2016–2023 (USD Million)
Table 39 North America: Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 40 North America: Market Size, By Organization Size, 2016–2023 (USD Million)
Table 41 North America: Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 42 North America: 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: Market Size, By Type, 2016–2023 (USD Million)
Table 45 Europe: Market Size, By Usage, 2016–2023 (USD Million)
Table 46 Europe: Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 47 Europe: Market Size, By Organization Size, 2016–2023 (USD Million)
Table 48 Europe: Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 49 Europe: 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: Market Size, By Type, 2016–2023 (USD Million)
Table 52 Asia Pacific: Market Size, By Usage, 2016–2023 (USD Million)
Table 53 Asia Pacific: Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 54 Asia Pacific: Market Size, By Organization Size, 2016–2023 (USD Million)
Table 55 Asia Pacific: Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 56 Asia Pacific: 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: Market Size, By Type, 2016–2023 (USD Million)
Table 59 Middle East and Africa: Market Size, By Usage, 2016–2023 (USD Million)
Table 60 Middle East and Africa: Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 61 Middle East and Africa: Market Size, By Organization Size, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 63 Middle East and Africa: 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: Market Size, By Type, 2016–2023 (USD Million)
Table 66 Latin America: Market Size, By Usage, 2016–2023 (USD Million)
Table 67 Latin America: Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 68 Latin America: Market Size, By Organization Size, 2016–2023 (USD Million)
Table 69 Latin America: Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 70 Latin America: 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 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 Market: Top-Down Approach
Figure 5 Market Snapshot, By Region, 2018 vs 2023
Figure 6 Market Snapshot, By Type, 2018 vs 2023
Figure 7 Market Snapshot, By Deployment Model, 2018 vs 2023
Figure 8 Market Snapshot, By Usage, 2018 vs 2023
Figure 9 Market Snapshot, By Application, 2018 vs 2023
Figure 10 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 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 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

This research report categorizes the 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 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 market has been segmented as follows

• Public
• Private
• Hybrid

Based on organization size, the market has been segmented as follows

• Small and Medium-sized Enterprises (SMEs)
• Large Enterprises

Based on industry verticals, the 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