Data Warehouse as a Service Market is forecasted to value over USD 16.1 billion by 2028 end and register a CAGR of 22.5% from the forecast period 2021-2028.

The communications industry is growing at an exponential rate owing to the technological advancements in recent years and with the advent of 5G wireless network technology, this industry is bound to showcase exceptional growth numbers over the next few years. Key players of the smartphone industry have initiated the manufacturing and distribution of 5G -enabled smartphones in developed nations and these devices shall soon be regularized across the world. Furthermore, technologies like artificial 1010dataligence and machine learning have paved the way for the development of autonomous vehicles and with governments across the world taking initiatives in building an infrastructure compatible with these vehicles, it is predicted to grow at a remarkable rate in the upcoming years. Entertainment and recreational industries like gaming are exponentially proliferating with the introduction of augmented reality (AR) and virtual reality (VR) thus improving the overall gaming experience. The gaming industry is gaining huge popularity across the globe owing to the organization of international tournaments with bigger prize pools thus helping technologies like AR and VR reach every single corner of the world.

The assessment of the Data Warehouse as a Service Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The Data Warehouse as a Service Market is also analyzed based on the regional segmentation, product or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the Data Warehouse as a Service Market:

  • AWS
  • IBM
  • Microsoft
  • Google
  • Oracle
  • SAP
  • Snowflake
  • Micro Focus
  • Teradata
  • 1010data
  • Cloudera
  • Pivotal
  • Yellowbrick
  • Veeva Systems
  • Actian
  • Marklogic
  • Netavis Software
  • Solver
  • Atscale
  • Accur8 Software
  • Panoply
  • Singlestore
  • Transwarp

(Note: The list of the major players will be updated with the latest market scenario and trends)

Data Warehouse as a Service Market Segmentation:
By Type

  • Enterprise DWaaS
  • Operational Data Storage

By Deployment Model

  • Public Cloud
  • Private Cloud

By Organization Size

  • Large Enterprises
  • Small and Medium-Sized Enterprises

By Application

  • Business Intelligence
  • Customer Analytics
  • Data Modernization
  • Operational Analytics
  • Predictive Analytics

By Verticals

  • Banking, Financial Services, And Insurance
  • Energy And Utilities
  • Government And Public Sector
  • Healthcare And Life Sciences
  • IT And ITES
  • Media And Entertainment
  • Manufacturing
  • Retail And Consumer Goods
  • Telecommunications
  • Others

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Data Warehouse as a Service Market Competitive Analysis:

  • Tier-1 Players
  • Tier-2 Players
  • Emerging Players
  • New Entrants

Future Market Analytics Focus Points:

  • SWOT Analysis
  • Key Market Trends
  • Key Data -Points Affecting Market Growth
  • Revenue and Forecast Analysis
  • Growth Opportunities For New Entrants and Emerging Players
  • Key Player and Market Growth Matrix

Objectives of the Study:

  • To provide a comprehensive analysis on the Data Warehouse as a Service Market by type, by deployment model, by organization size, by application, by verticals and by region
  • To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)
  • To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa
  • To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

 
In case of any requirements or changes to the current table of content please contact us at:enquiry@futuremarketanalytics.com

Description

1. Market Introduction
    1.1. Objectives of the Study
    1.2. Market Definition
    1.3. Market Scope
         1.3.1 Years Considered for the Study
         1.3.2 Market Covered
    1.4. Currency
    1.5. Limitations
    1.6. Stakeholders

2. Research Methodology
    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. Key Data from Primary Sources
    2.2. Market Size Estimation
    2.3. Market Breakdown and Data Triangulation
    2.4. Assumptions for the Study

3. Executive Summary
    3.1. Market Outlook
    3.2. Segment Outlook
    3.3. Competitive Insights

4. Market Variables, Trends & Scope
    4.1. Market Lineage Outlook
    4.2. Penetration and Growth Prospect Mapping
    4.3. Industry Value Chain Analysis
    4.4. Cost Analysis Breakdown
    4.5. Technology Overview
    4.6. Regulatory Framework on Country Level
         4.6.1. Reimbursement Framework
         4.6.2. Standards and Compliances

5. Market Overview
    5.1. Market Dynamics
         5.1.1. Market Driver Analysis
         5.1.2. Market Restraint Analysis
         5.1.3. Industry Challenges

6. Market Analysis Tools
    6.1. Industry Analysis – Porter’s
         6.1.1. Supplier Power
         6.1.2. Buyer Power
         6.1.3. Substitution Threat
         6.1.4. Threat from new entrants
         6.1.5. Competitive Rivalry
    6.2. Pestel Analysis
         6.2.1. Political Landscape
         6.2.2. Environmental Landscape
         6.2.3. Social landscape
         6.2.4. Technology landscape
         6.2.5. Legal Landscape

7. Data Warehouse as a Service Market, By Type Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    7.1. Enterprise DWaaS
    7.2. Operational Data Storage

8. Data Warehouse as a Service Market, By Deployment Model Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Public Cloud
    8.2. Private Cloud

9. Data Warehouse as a Service Market, By Organization Size Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    9.1. Large Enterprises
    9.2. Small and Medium-Sized Enterprises

10. Data Warehouse as a Service Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. Business Intelligence
    10.2. Customer Analytics
    10.3. Data Modernization
    10.4. Operational Analytics
    10.5. Predictive Analytics

11. Data Warehouse as a Service Market, By Verticals Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    11.1. Banking, Financial Services, And Insurance
    11.2. Energy And Utilities
    11.3. Government And Public Sector
    11.4. Healthcare And Life Sciences
    11.5. IT And ITES
    11.6. Media And Entertainment
    11.7. Manufacturing
    11.8. Retail And Consumer Goods
    11.9. Telecommunications
    11.10. Others

12. North America Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    12.1. Introduction
    12.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         12.2.1. U.S.
         12.2.2. Canada
         12.2.3. Mexico
         12.2.4. Rest of North America
    12.3. Market Size (USD Mn) Forecast for North America 2021-2028

13. Latin America Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    13.1. Introduction
    13.2. Regional Market Trends
    13.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         13.3.1. Brazil
         13.3.2. Venezuela
         13.3.3. Argentina
         13.3.4. Rest of Latin America
    13.4. Market Size (USD Mn) Forecast for Latin America 2021-2028

14. Europe Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    14.1. Introduction
    14.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         14.2.1. Germany
         14.2.2. U.K
         14.2.3. France
         14.2.4. Italy
         14.2.5. Switzerland
         14.2.6. Spain
         14.2.7. Russia
         14.2.8. Poland
         14.2.9. Rest of Europe
    14.3. Market Size (USD Mn) Forecast for Europe 2021-2028

15. Asia Pacific Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    15.1. Introduction
    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         15.2.1. Japan
         15.2.2. China
         15.2.3. Singapore
         15.2.4. Korea
         15.2.5. India
         15.2.6. Australia and New Zealand
         15.2.7. ASEAN
         15.2.8. Rest of Asia Pacific
    15.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

16. Middle East and Africa Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    16.1. Introduction
    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         16.2.1. UAE
         16.2.2. South Africa
         16.2.3. Egypt
         16.2.4. Saudi Arabia
         16.2.5. Rest of MEA
    16.3. Market Size (USD Mn) Forecast for MEA 2021-2028

17. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)
    17.1. AWS
         17.1.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.1.2. Product Portfolio
         17.1.3. SWOT Analysis
         17.1.4. Financial Overview
         17.1.5. Strategic Overview
    17.2. IBM
         17.2.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.2.2. Product Portfolio
         17.2.3. SWOT Analysis
         17.2.4. Financial Overview
         17.2.5. Strategic Overview
    17.3. Microsoft
         17.3.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.3.2. Product Portfolio
         17.3.3. SWOT Analysis
         17.3.4. Financial Overview
         17.3.5. Strategic Overview
    17.4. Google
         17.4.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.4.2. Product Portfolio
         17.4.3. SWOT Analysis
         17.4.4. Financial Overview
         17.4.5. Strategic Overview
    17.5. Oracle
         17.5.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.5.2. Product Portfolio
         17.5.3. SWOT Analysis
         17.5.4. Financial Overview
         17.5.5. Strategic Overview
    17.6. SAP
         17.6.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.6.2. Product Portfolio
         17.6.3. SWOT Analysis
         17.6.4. Financial Overview
         17.6.5. Strategic Overview
    17.7. Snowflake
         17.7.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.7.2. Product Portfolio
         17.7.3. SWOT Analysis
         17.7.4. Financial Overview
         17.7.5. Strategic Overview
    17.8. Micro Focus
         17.8.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.8.2. Product Portfolio
         17.8.3. SWOT Analysis
         17.8.4. Financial Overview
         17.8.5. Strategic Overview
    17.9. Teradata
         17.9.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.9.2. Product Portfolio
         17.9.3. SWOT Analysis
         17.9.4. Financial Overview
         17.9.5. Strategic Overview
    17.10. 1010data
         17.10.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.10.2. Product Portfolio
         17.10.3. SWOT Analysis
         17.10.4. Financial Overview
         17.10.5. Strategic Overview
    17.11. Cloudera
         17.11.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.11.2. Product Portfolio
         17.11.3. SWOT Analysis
         17.11.4. Financial Overview
         17.11.5. Strategic Overview
    17.12. Pivotal
         17.12.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.12.2. Product Portfolio
         17.12.3. SWOT Analysis
         17.12.4. Financial Overview
         17.12.5. Strategic Overview
    17.13. Yellowbrick
         17.13.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.13.2. Product Portfolio
         17.13.3. SWOT Analysis
         17.13.4. Financial Overview
         17.13.5. Strategic Overview
    17.14. Veeva Systems
         17.14.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.14.2. Product Portfolio
         17.14.3. SWOT Analysis
         17.14.4. Financial Overview
         17.14.5. Strategic Overview
    17.15. Actian
         17.15.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.15.2. Product Portfolio
         17.15.3. SWOT Analysis
         17.15.4. Financial Overview
         17.15.5. Strategic Overview
    17.16. Marklogic
         17.16.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.16.2. Product Portfolio
         17.16.3. SWOT Analysis
         17.16.4. Financial Overview
         17.16.5. Strategic Overview
    17.17. Netavis Software
         17.17.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.17.2. Product Portfolio
         17.17.3. SWOT Analysis
         17.17.4. Financial Overview
         17.17.5. Strategic Overview
    17.18. Solver
         17.18.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.18.2. Product Portfolio
         17.18.3. SWOT Analysis
         17.18.4. Financial Overview
         17.18.5. Strategic Overview
    17.19. Atscale
         17.19.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.19.2. Product Portfolio
         17.19.3. SWOT Analysis
         17.19.4. Financial Overview
         17.19.5. Strategic Overview
    17.20. Accur8 Software
         17.20.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.20.2. Product Portfolio
         17.20.3. SWOT Analysis
         17.20.4. Financial Overview
         17.20.5. Strategic Overview
    17.21. Panoply
         17.21.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.21.2. Product Portfolio
         17.21.3. SWOT Analysis
         17.21.4. Financial Overview
         17.21.5. Strategic Overview
    17.22. Singlestore
         17.22.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.22.2. Product Portfolio
         17.22.3. SWOT Analysis
         17.22.4. Financial Overview
         17.22.5. Strategic Overview
    17.23. Transwarp
         17.23.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.23.2. Product Portfolio
         17.23.3. SWOT Analysis
         17.23.4. Financial Overview
         17.23.5. Strategic Overview
(Note: The list of the major players will be updated with the latest market scenario and trends)

18. Impact of COVID-19
    18.1. Positive influence on the industry
    18.2. The financial disruption of the sector
    18.3. Impact of COVID-19 on emerging companies
    18.4. Significant mandates in the industry regulations initiated by administrations
    18.5. The overall economic slowdown of the developing and developed nations

19. Competitive 1010dataligence and Competitive Matrix
    19.1. Competitive 1010dataligence
    19.2. Competitive Matrix

20. Major Deals and Strategic Alliances Analysis
    20.1. Joint ventures
    20.2. Mergers and acquisitions
    20.3. Licensing and partnerships
    20.4. Technology Collaborations
    20.5. Strategic Divestments
    20.6. Market Entry Strategies

21. Relevant Case Studies and Latest News Updates

22. Key Market Takeaway Points from the Market Analysts at Future Market Analytics