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Data Warehousing Market by Type of Offering (ETL Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured and Semi-Structured & Structured), Deployment Model (On-Premise, Cloud, and Hybrid), Enterprise Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (BFSI, IT & telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2021–2028
Published Date: November 2019
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Report Code: ALLI-Auto-2Q343
Home | Market Reports | Computers & Electronics | Enterprise Technology | Data Management
Data Warehousing Market by Type of Offering Extraction Transportation Loading ETL Solutions Statistical Analysis Data Mining and Others Type of Data Unstructured and Semi Structured Structured Deployment On Premise Cloud and Hybrid Organization Size Small Medium Sized Enterprises and Large Enterprises and Industry Vertical BFSI Telecom IT Government Manufacturing Retail Healthcare Media Entertainment and Others Global Opportunity Analysis and Industry Forecast 2021 to 2028

Data Warehousing Market by Type of Offering (ETL Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured and Semi-Structured & Structured), Deployment Model (On-Premise, Cloud, and Hybrid), Enterprise Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (BFSI, IT & telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2021–2028

Code: ALLI-Auto-2Q343
Report
November 2019
270 Pages
Allied Market Research
Region: Global,
Description
Table of Content
Tables & Figures

Data Warehousing Market Size: 

The global data warehousing market size was valued at USD 21.18 Billion in 2019, and is projected to reach USD 51.18 Billion by 2028, growing at a CAGR of 10.7% from 2020 to 2028.

Data warehousing is a technique of constructing a data warehouse in which data from various heterogeneous data sources are stored. In addition to this, various businesses are using data warehouse to enhance their data quality and improve their decision making capability. Furthermore, data stored in the data warehouse helps organizations to deliver enhanced business intelligence solutions to the end users and provide a competitive advantage in the market.  

With disrupting effects of COVID-19 on various sectors, many data warehousing service providers are adopting several business and marketing strategies, such as innovating their product portfolio with customized offerings. For instance, in February 2021, Google LLC introduced new speed-increasing capabilities for its BigQuery cloud data warehouse which improves enterprises analytics workflows capability by 5 times than previous capabilities. 

Increase in need for dedicated storage system for surge in volume of data, rise in demand for column-oriented data warehouse solutions to perform advanced analytics, the need for low-latency, real-time view, and analytics on operational data are some of the major factors that drive the global data warehousing market growth. In addition, increase in awareness of enterprises to utilize growth in streams of data from various sources in innovative ways and adoption of modern business intelligence tools by enterprises for which data warehousing is critical, are expected to fuel the growth of the market. Conversely, emerging trend of adopting virtual data warehousing and surge in application of AI in data warehousing are expected to provide lucrative opportunities for the growth of the global market.

By type of offering, the global data warehousing market is led by the ETL solutions segment in 2019, and is projected to maintain its dominance during the forecast period. This is attributed to increase in need for complex data management, operational resilience, advanced data profiling, and cleansing are the key factors expected to drive the market growth in the near future. However, the data mining segment is expected to grow at the highest rate during the forecast period, owing to rise in need of data mining solution among the organizations for searching different patterns of data for increasing the sales and profit of the organization.

By region, the data warehousing market was dominated by North America in 2019, and is expected to retain its position during the forecast period. The key factors that drive the North America market include growth in demand for automated analytics for customer behavior analytics, fraud & risk identification, and improved decision making for productivity as well as improvisation of businesses. However, Asia-Pacific is expected to witness significant growth rate during the forecast period, owing to surge in data storage, and analytics requirements of enterprises in various industry vertical such as BFSI, IT & telecom, government, and others.

The report focuses on the growth prospects, restraints, and trends of the global data warehousing industry. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the global data warehousing market.

ETL solutions is projected as one of the most lucrative segments.

Data Warehousing Market Review

The data warehousing market is segmented on the basis of type of offering, type of data, deployment, enterprise size, industry vertical, and region. In terms of type of offering, it is classified into ETL solutions, statistical analysis, data mining, and others. By type of data, it is bifurcated into unstructured data and semi structured & structured data. By deployment model, it is fragmented into on-premise, cloud data warehousing, and hybrid. By enterprise size, it is segregated into large enterprises and small and medium enterprises (SMEs). By industry vertical segment, it is divided into BFSI, IT & telecom, government, manufacturing, retail, healthcare, media & entertainment, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the data warehousing market analysis include Actian Corporation, Amazon.com. Inc., Cloudera, Inc., Google Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP, Snowflake, Inc., and Teradata Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the data warehousing industry.

Semi-structured & Structured Data is projected as one of the most lucrative segments.

Impct of Covid-19 Panemic On Data Warehousing Market:

The data warehousing market has witnessed significant growth in the past few years; however, due to the outbreak of the COVID-19 pandemic, the market witnessed a sudden downfall in 2020. This is attributed to implementation of lockdown by governments in majority of the countries and the shutdown of travel across the world to prevent the transmission of virus. The data warehousing market is projected to prosper in the upcoming years after the recovery from the COVID-19 pandemic. Various organizations across the globe have initiated work-from-home culture for their employees, which is creating demand for the cloud-based data warehousing software to manage and analyze critical information of organizations, thus, creating lucrative growth opportunities for the market.

On-Premise is projected as one of the most lucrative segments.

Top Impacting Factors

Emerging trend of adopting virtual data warehousing

A virtual data warehouse offers a condensed outlook of the data inventory that comprises meta data. It utilizes middleware to form connections to different data sources. It can be fast as it lets users to filter the most important parts of data from various legacy applications. The metadata is used for establishing logical enterprise data model and it is contained in virtual data warehousing. Furthermore, virtual data warehousing approach entails less time and expenditure to develop, and involves less risk of data loss. It is schema-less model and independent on the IT strategy. It can easily accommodate the changes, if made in the business. As the requirements change, modifying the models and redeveloping the views from the virtual mart or store can be done in very less time after adopting virtual data warehousing. In addition, data virtualization reduces both times to solution and ongoing operating costs, as much as four-fold, by avoiding physical data replication with its associated storage and support requirements.

Large Enterprises is projected as one of the most lucrative segments.

Furthermore, the data lake is expected to become increasingly popular, with the increase in the amount of unstructured data. Data Lake is a newer technology that stores both structured and unstructured data in its original form, and processes it later on-demand. However, the databases and data warehouses are anticipated to hold essential place always.

BFSI is projected as one of the most lucrative segments.

Surge in Application of AI in Data Warehouse

Artificial Intelligence (AI) and Machine Learning (ML) technologies are disrupting the data warehousing solutions. The use of AI and ML facilitates a smart data warehouse that automatically optimizes and transforms data to user requirements, using machine learning. Enterprises are applying these technologies to ultimately achieve the ability to convert data into value iteratively and continuously, which is estimated to distinguish it from its competitors and make it agile and innovative. It also helps in the automatic extraction of hidden predictive information from large databases and enables automated knowledge discovery, prediction, and forensic analysis through machine learning. Thus, the application of these technologies for data warehousing solutions is expected to offer great opportunities for the growth of the market during the forecast period.

Asia-Pacific would exhibit the highest CAGR of 12.5% during 2021-2028.

Key Benefits For Stakeholders 

  • The study provides an in-depth analysis of the global data warehousing market forecast along with the current & future trends to elucidate the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on the global data warehousing market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the data warehousing market share from 2021 to 2028 is provided to determine the market potential.

Key Market Segments

By Type of Offering

By Data Type

By Deployment Model

  • On-Premise 
  • Cloud
  • Hybrid

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • BFSI
  • IT & Telecom
  • Government
  • Manufacturing
  • Retail
  • Healthcare
  • Media & Entertainment
  • Others 

By Region

  • North America
    • U.S.
    • Canada
  • Europe 
    • UK
    • Germany 
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific 
    • China
    • Japan
    • India
    • South Korea    
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America 
    • Middle East 
    • Africa

KEY MARKET PLAYERS

  • Actian Corporation 
  • Amazon.com. Inc.
  • Cloudera, Inc.
  • Google Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Snowflake, Inc.
  • Teradata Corporation

Report Metric

Details

Report Name

Data Warehousing Market

The market size in 2019

USD 21.18 Billion

The revenue forecast in 2028

USD 51.18 Billion

Growth Rate

CAGR of 10.7%

Type of Data

Unstructured and Semi-Structured & Structured

Type of Offerings

ETL Solutions, Statistical Analysis, Data Mining

Deployment Model

On-Premise, Cloud, and Hybrid

Enterprise Size

Large Enterprises and Small & Medium Enterprises

Industry Vertical

BFSI, IT & telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment

Key Companies

Actian Corporation, Amazon.com. Inc., Cloudera, Inc., Google Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Snowflake, Inc., Teradata Corporation

Chapter: 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS FOR STAKEHOLDERS
1.3. RESEARCH METHODOLOGY
1.3.1. Secondary research
1.3.2. Primary research
1.3.3. Analyst tools & models
Chapter: 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
Chapter: 3: MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies
3.3. PORTER'S FIVE FORCES ANALYSIS
3.4. KEY PLAYER POSITIONING, 2017
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Need for dedicated storage system for growing volume of data
3.5.1.2. Rise in demand for column-oriented data warehouse solutions to perform advanced analytics
3.5.1.3. The need for low-latency, real-time view and analytics on operational data
3.5.2. Restraints
3.5.2.1. Complexity
3.5.2.2. High implementation cost
3.5.3. Opportunities
3.5.3.1. Emerging trend of adopting virtual data warehousing
3.5.3.2. Growing Application of AI in Data Warehouse
Chapter: 4: DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS
4.1. OVERVIEW
4.2. EXTRACTION, TRANSPORTATION AND LOADING (ETL) SOLUTIONS
4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast, by region
4.2.4. Market analysis, by country
4.3. STATISTICAL ANALYSIS
4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast, by region
4.3.4. Market analysis, by country
4.4. DATA MINING
4.4.1. Key market trends
4.4.2. Key growth factors and opportunities
4.4.3. Market size and forecast, by region
4.4.4. Market analysis, by country
4.5. OTHERS
4.5.1. Key market trends
4.5.2. Key growth factors and opportunities
4.5.3. Market size and forecast, by region
4.5.4. Market analysis, by country
Chapter: 5: DATA WAREHOUSING MARKET, BY DEPLOYMENT
5.1. OVERVIEW
5.2. ON-PREMISE
5.2.1. Key market trends
5.2.2. Key growth factors and opportunities
5.2.3. Market size and forecast, by region
5.2.4. Market analysis, by country
5.3. CLOUD
5.3.1. Key market trends
5.3.2. Key growth factors and opportunities
5.3.3. Market size and forecast, by region
5.4. HYBRID
5.4.1. Key market trends
5.4.2. Key growth factors and opportunities
5.4.3. Market size and forecast, by region
5.4.4. Market analysis, by country
Chapter: 6: DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE
6.1. OVERVIEW
6.2. SMALL AND MEDIUM SIZED ENTERPRISES (SMES)
6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast, by region
6.2.4. Market analysis, by country
6.3. LARGE ENTERPRISES
6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast, by region
6.3.4. Market analysis, by country
Chapter: 7: DATA WAREHOUSING MARKET, BY TYPE OF DATA
7.1. OVERVIEW
7.2. STRUCTURED DATA
7.2.1. Key market trends
7.2.2. Key growth factors and opportunities
7.2.3. Market size and forecast, by region
7.2.4. Market analysis, by country
7.3. UNSTRUCTURED DATA
7.3.1. Key market trends
7.3.2. Key growth factors and opportunities
7.3.3. Market size and forecast, by region
7.3.4. Market analysis, by country
Chapter: 8: DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS
8.1. OVERVIEW
8.2. BFSI
8.2.1. Key market trends
8.2.2. Key growth factors and opportunities
8.2.3. Market size and forecast, by region
8.2.4. Market analysis, by country
8.3. TELECOM AND IT
8.3.1. Key market trends
8.3.2. Key growth factors and opportunities
8.3.3. Market size and forecast, by region
8.3.4. Market analysis, by country
8.4. GOVERNMENT
8.4.1. Key market trends
8.4.2. Key growth factors and opportunities
8.4.3. Market size and forecast, by region
8.4.4. Market analysis, by country
8.5. MANUFACTURING
8.5.1. Key market trends
8.5.2. Key growth factors and opportunities
8.5.3. Market size and forecast, by region
8.5.4. Market analysis, by country
8.6. RETAIL
8.6.1. Key market trends
8.6.2. Key growth factors and opportunities
8.6.3. Market size and forecast, by region
8.6.4. Market analysis, by country
8.7. HEALTHCARE
8.7.1. Key market trends
8.7.2. Key growth factors and opportunities
8.7.3. Market size and forecast, by region
8.7.4. Market analysis, by country
8.8. MEDIA & ENTERTAINMENT
8.8.1. Key market trends
8.8.2. Key growth factors and opportunities
8.8.3. Market size and forecast, by region
8.8.4. Market analysis, by country
8.9. OTHERS
8.9.1. Key market trends
8.9.2. Key growth factors and opportunities
8.9.3. Market size and forecast, by region
8.9.4. Market analysis, by country
Chapter: 9: DATA WAREHOUSING MARKET, BY REGION
9.1. OVERVIEW
9.2. NORTH AMERICA
9.2.1. Key market trends
9.2.2. Key growth factors and opportunities
9.2.3. Market size and forecast
9.2.3.1. Market size and forecast, by type of offerings
9.2.3.2. Market size and forecast, by type of data
9.2.3.3. Market size and forecast, by deployment
9.2.3.4. Market size and forecast, by organization size
9.2.3.5. Market size and forecast, by industry verticals
9.2.3.6. Market size and forecast, by country
9.2.3.7. U.S.
9.2.3.7.1. Market size and forecast, by type of offerings
9.2.3.7.2. Market size and forecast, by type of data
9.2.3.7.3. Market size and forecast, by deployment
9.2.3.7.4. Market size and forecast, by organization size
9.2.3.7.5. Market size and forecast, by industry verticals
9.2.3.8. Canada
9.2.3.8.1. Market size and forecast, by type of offerings
9.2.3.8.2. Market size and forecast, by type of data
9.2.3.8.3. Market size and forecast, by deployment
9.2.3.8.4. Market size and forecast, by organization size
9.2.3.8.5. Market size and forecast, by industry verticals
9.3. EUROPE
9.3.1. Key market trends
9.3.2. Key growth factors and opportunities
9.3.3. Market size and forecast
9.3.3.1. Market size and forecast, by type of offerings
9.3.3.2. Market size and forecast, by type of data
9.3.3.3. Market size and forecast, by deployment
9.3.3.4. Market size and forecast, by organization size
9.3.3.5. Market size and forecast, by industry verticals
9.3.3.6. Market size and forecast, by country
9.3.3.7. UK
9.3.3.7.1. Market size and forecast, by type of offerings
9.3.3.7.2. Market size and forecast, by type of data
9.3.3.7.3. Market size and forecast, by deployment
9.3.3.7.4. Market size and forecast, by organization size
9.3.3.7.5. Market size and forecast, by industry verticals
9.3.3.8. Germany
9.3.3.8.1. Market size and forecast, by type of offerings
9.3.3.8.2. Market size and forecast, by type of data
9.3.3.8.3. Market size and forecast, by deployment
9.3.3.8.4. Market size and forecast, by organization size
9.3.3.8.5. Market size and forecast, by industry verticals
9.3.3.9. France
9.3.3.9.1. Market size and forecast, by type of offerings
9.3.3.9.2. Market size and forecast, by type of data
9.3.3.9.3. Market size and forecast, by deployment
9.3.3.9.4. Market size and forecast, by organization size
9.3.3.9.5. Market size and forecast, by industry verticals
9.3.3.10. Rest of Europe
9.3.3.10.1. Market size and forecast, by type of offerings
9.3.3.10.2. Market size and forecast, by type of data
9.3.3.10.3. Market size and forecast, by deployment
9.3.3.10.4. Market size and forecast, by organization size
9.3.3.10.5. Market size and forecast, by industry verticals
9.4. ASIA-PACIFIC
9.4.1. Key market trends
9.4.2. Key growth factors and opportunities
9.4.3. Market size and forecast
9.4.3.1. Market size and forecast, by type of offerings
9.4.3.2. Market size and forecast, by type of data
9.4.3.3. Market size and forecast, by deployment
9.4.3.4. Market size and forecast, by organization size
9.4.3.5. Market size and forecast, by industry verticals
9.4.3.6. Market size and forecast, by country
9.4.3.7. China
9.4.3.7.1. Market size and forecast, by type of offerings
9.4.3.7.2. Market size and forecast, by type of data
9.4.3.7.3. Market size and forecast, by deployment
9.4.3.7.4. Market size and forecast, by organization size
9.4.3.7.5. Market size and forecast, by industry verticals
9.4.3.8. India
9.4.3.8.1. Market size and forecast, by type of offerings
9.4.3.8.2. Market size and forecast, by type of data
9.4.3.8.3. Market size and forecast, by deployment
9.4.3.8.4. Market size and forecast, by organization size
9.4.3.8.5. Market size and forecast, by industry verticals
9.4.3.9. Japan
9.4.3.9.1. Market size and forecast, by type of offerings
9.4.3.9.2. Market size and forecast, by type of data
9.4.3.9.3. Market size and forecast, by deployment
9.4.3.9.4. Market size and forecast, by organization size
9.4.3.9.5. Market size and forecast, by industry verticals
9.4.3.10. Rest of Asia-Pacific
9.4.3.10.1. Market size and forecast, by type of offerings
9.4.3.10.2. Market size and forecast, by type of data
9.4.3.10.3. Market size and forecast, by deployment
9.4.3.10.4. Market size and forecast, by organization size
9.4.3.10.5. Market size and forecast, by industry verticals
9.5. LAMEA
9.5.1. Key market trends
9.5.2. Key growth factors and opportunities
9.5.3. Market size and forecast
9.5.3.1. Market size and forecast, by type of offerings
9.5.3.2. Market size and forecast, by type of data
9.5.3.3. Market size and forecast, by deployment
9.5.3.4. Market size and forecast, by organization size
9.5.3.5. Market size and forecast, by industry verticals
9.5.3.6. Market size and forecast, by country
9.5.3.7. Latin America
9.5.3.7.1. Market size and forecast, by type of offerings
9.5.3.7.2. Market size and forecast, by type of data
9.5.3.7.3. Market size and forecast, by deployment
9.5.3.7.4. Market size and forecast, by organization size
9.5.3.7.5. Market size and forecast, by industry verticals
9.5.3.8. Middle East
9.5.3.8.1. Market size and forecast, by type of offerings
9.5.3.8.2. Market size and forecast, by type of data
9.5.3.8.3. Market size and forecast, by deployment
9.5.3.8.4. Market size and forecast, by organization size
9.5.3.8.5. Market size and forecast, by industry verticals
9.5.3.9. Africa
9.5.3.9.1. Market size and forecast, by type of offerings
9.5.3.9.2. Market size and forecast, by type of data
9.5.3.9.3. Market size and forecast, by deployment
9.5.3.9.4. Market size and forecast, by organization size
9.5.3.9.5. Market size and forecast, by industry verticals
Chapter: 10: COMPANY PROFILE
10.1. AMAZON.COM, INC.
10.1.1. Company overview
10.1.2. Company snapshot
10.1.3. Operating business segments
10.1.4. Product portfolio
10.1.5. Business performance
10.2. ACTIAN CORPORATION
10.2.1. Company overview
10.2.2. Company snapshot
10.2.3. Product portfolio
10.2.4. Key strategic moves and developments
10.3. CLOUDERA, INC.
10.3.1. Company overview
10.3.2. Company snapshot
10.3.3. Operating business segments
10.3.4. Product portfolio
10.3.5. Business performance
10.3.6. Key strategic moves and developments
10.4. GOOGLE INC. (ALPHABET INC.)
10.4.1. Company overview
10.4.2. Company snapshot
10.4.3. Operating business segments
10.4.4. Product portfolio
10.4.5. Business performance
10.4.6. Key strategic moves and developments
10.5. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
10.5.1. Company overview
10.5.2. Company snapshot
10.5.3. Operating business segments
10.5.4. Product portfolio
10.5.5. Business performance
10.6. MICROSOFT CORPORATION
10.6.1. Company overview
10.6.2. Company snapshot
10.6.3. Operating business segments
10.6.4. Product portfolio
10.6.5. Business performance
10.6.6. Key strategic moves and developments
10.7. ORACLE CORPORATION
10.7.1. Company overview
10.7.2. Company snapshot
10.7.3. Operating business segments
10.7.4. Product portfolio
10.7.5. Business performance
10.7.6. Key strategic moves and developments
10.8. SAP SE
10.8.1. Company overview
10.8.2. Company snapshot
10.8.3. Operating business segments
10.8.4. Product portfolio
10.8.5. Business performance
10.8.6. Key strategic moves and developments
10.9. SNOWFLAKE COMPUTING INC.
10.9.1. Company overview
10.9.2. Company snapshot
10.9.3. Product portfolio
10.9.4. Key strategic moves and developments
10.10. TERADATA
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Operating business segments
10.10.4. Product portfolio
10.10.5. Business performance
            10.10.6. Key strategic moves and development
LIST OF TABLES

TABLE 01. GLOBAL DATA WAREHOUSING MARKET REVENUE, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 02. DATA WAREHOUSING SOFTWARE MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 03. DATA WAREHOUSING SERVICES MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 04. DATA WAREHOUSING FOR DATA MINING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 05. DATA WAREHOUSING FOR OTHERS MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 06. GLOBAL DATA WAREHOUSING MARKET REVENUE, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 07. ON-PREMISE DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 08. CLOUD DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 09. HYBRID DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 10. GLOBAL DATA WAREHOUSING MARKET REVENUE, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 11. DATA WAREHOUSING, FOR SMES MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 12. DATA WAREHOUSING MARKET FOR LARGE ENTERPRISES, BY REGION, 2017–2025 ($MILLION)
TABLE 13. GLOBAL DATA WAREHOUSING MARKET REVENUE, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 14. DATA WAREHOUSING MARKET FOR STRUCTURED DATA, BY REGION, 2017–2025 ($MILLION)
TABLE 15. DATA WAREHOUSING MARKET FOR UNSTRUCTURED DATA, BY REGION, 2017–2025 ($MILLION)
TABLE 16. GLOBAL DATA WAREHOUSING MARKET REVENUE, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 17. DATA WAREHOUSING MARKET FOR BFSI, BY REGION, 2017–2025 ($MILLION)
TABLE 18. DATA WAREHOUSING MARKET FOR TELECOM AND IT, BY REGION, 2017–2025 ($MILLION)
TABLE 19. DATA WAREHOUSING MARKET FOR GOVERNMENT, BY REGION, 2017–2025 ($MILLION)
TABLE 20. DATA WAREHOUSING MARKET FOR MANUFACTURING, BY REGION, 2017–2025 ($MILLION)
TABLE 21. DATA WAREHOUSING MARKET FOR RETAIL, BY REGION, 2017–2025 ($MILLION)
TABLE 22. DATA WAREHOUSING MARKET FOR HEALTHCARE, BY REGION, 2017–2025 ($MILLION)
TABLE 23. DATA WAREHOUSING MARKET FOR MEDIA & ENTERTAINMENT, BY REGION, 2017–2025 ($MILLION)
TABLE 24. DATA WAREHOUSING MARKET FOR OTHERS, BY REGION, 2017–2025 ($MILLION)
TABLE 25. DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 26. NORTH AMERICA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 27. NORTH AMERICA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 28. NORTH AMERICA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 29. NORTH AMERICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 30. NORTH AMERICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 31. NORTH AMERICA DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 32. U.S. DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 33. U.S. DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 34. U.S. DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 35. U.S. DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 36. U.S. DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 37. CANADA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 38. CANADA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 39. CANADA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 40. CANADA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 41. CANADA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 42. EUROPE DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 43. EUROPE DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 44. EUROPE DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 45. EUROPE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 46. EUROPE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 47. EUROPE DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 48. UK DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 49. UK DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 50. UK DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 51. UK DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 52. UK DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 53. GERMANY DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 54. GERMANY DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 55. GERMANY DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 56. GERMANY DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 57. GERMANY DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 58. FRANCE DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 59. FRANCE DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 60. FRANCE DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 61. FRANCE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 62. FRANCE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 63. REST OF EUROPE DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 64. REST OF EUROPE DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 65. REST OF EUROPE DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 66. REST OF EUROPE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 67. REST OF EUROPE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 68. ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 69. ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 70. ASIA PACIFIC DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 71. ASIA PACIFIC DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 72. ASIA PACIFIC DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 73. ASIA-PACIFIC DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 74. CHINA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 75. CHINA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 76. CHINA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 77. CHINA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 78. CHINA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 79. INDIA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 80. INDIA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 81. INDIA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 82. INDIA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 83. INDIA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 84. JAPAN DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 85. JAPAN DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 86. JAPAN DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 87. JAPAN DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 88. JAPAN DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 89. REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 90. REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 91. REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 92. REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 93. REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 94. LAMEA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 95. LAMEA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 96. LAMEA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 97. LAMEA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 98. LAMEA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 99. LAMEA DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 100. LATIN AMERICA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 101. LATIN AMERICA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 102. LATIN AMERICA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 103. LATIN AMERICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 104. LATIN AMERICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 105. MIDDLE EAST DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 106. MIDDLE EAST DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 107. MIDDLE EAST DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 108. MIDDLE EAST DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 109. MIDDLE EAST DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 110. AFRICA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 111. AFRICA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 112. AFRICA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 113. AFRICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 114. AFRICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 115. AMAZON.COM, INC.: COMPANY SNAPSHOT
TABLE 116. AMAZON.COM, INC.: OPERATING SEGMENTS
TABLE 117. AMAZON.COM, INC.: PRODUCT PORTFOLIO
TABLE 118. ACTIAN CORPORATION: COMPANY SNAPSHOT
TABLE 119. ACTIAN CORPORATION: PRODUCT PORTFOLIO
TABLE 120. ACTIAN CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 121. CLOUDERA, INC.: COMPANY SNAPSHOT
TABLE 122. CLOUDERA, INC.: OPERATING SEGMENTS
TABLE 123. CLOUDERA, INC.: PRODUCT PORTFOLIO
TABLE 124. CLOUDERA, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 125. GOOGLE INC.: COMPANY SNAPSHOT
TABLE 126. GOOGLE INC.: OPERATING SEGMENTS
TABLE 127. GOOGLE INC.: PRODUCT PORTFOLIO
TABLE 128. GOOGLE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 129. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
TABLE 130. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
TABLE 131. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
TABLE 132. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 133. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 134. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 135. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 136. ORACLE CORPORATION : COMPANY SNAPSHOT
TABLE 137. ORACLE CORPORATION : OPERATING SEGMENTS
TABLE 138. ORACLE CORPORATION : PRODUCT PORTFOLIO
TABLE 139. ORACLE CORPORATION : KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 140. SAP SE: COMPANY SNAPSHOT
TABLE 141. SAP SE: OPERATING SEGMENTS
TABLE 142. SAP SE: PRODUCT PORTFOLIO
TABLE 143. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 144. SNOWFLAKE COMPUTING INC.: COMPANY SNAPSHOT
TABLE 145. SNOWFLAKE COMPUTING INC.: PRODUCT PORTFOLIO
TABLE 146. SNOWFLAKE COMPUTING INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 147. TERADATA: COMPANY SNAPSHOT
TABLE 148. TERADATA: OPERATING SEGMENTS
TABLE 149. TERADATA: PRODUCT PORTFOLIO
TABLE 150. TERADATA: KEY STRATEGIC MOVES AND DEVELOPMENTS LIST OF FIGURES

FIGURE 01. GLOBAL DATA WAREHOUSING MARKET, 2017–2025
FIGURE 02. DATA WAREHOUSING MARKET, BY REGION, 2017–2025
FIGURE 03. GLOBAL DATA WAREHOUSING MARKET: KEY PLAYERS
FIGURE 04. GLOBAL DATA WAREHOUSING MARKET SEGMENTATION
FIGURE 05. TOP IMPACTING FACTORS
FIGURE 06. TOP INVESTMENT POCKETS
FIGURE 07. TOP WINNING STRATEGIES, BY YEAR, 2015–2018*
FIGURE 08. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2015–2018* (%)
FIGURE 09. TOP WINNING STRATEGIES, BY COMPANY, 2015–2018*
FIGURE 10. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 11. MODERATE TO HIGH BARGAINING POWER OF BUYERS
FIGURE 12. MODERATE THREAT OF SUBSTITUTES
FIGURE 13. MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 14. HIGH COMPETITIVE RIVALRY
FIGURE 15. KEY PLAYER POSITIONING, 2017
FIGURE 16. DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING SOFTWARE MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING SERVICES MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING FOR DATA MINING MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING FOR OTHERS MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF ON-PREMISE DATA WAREHOUSING MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF HYBRID DATA WAREHOUSING MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR SMES, BY COUNTRY, 2017 & 2025 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2017 & 2025 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR STRUCTURED DATA, BY COUNTRY, 2017 & 2025 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR UNSTRUCTURED DATA, BY COUNTRY, 2017 & 2025 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR BFSI, BY COUNTRY, 2017 & 2025 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR TELECOM AND IT, BY COUNTRY, 2017 & 2025 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR GOVERNMENT, BY COUNTRY, 2017 & 2025 (%)
FIGURE 30. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR MANUFACTURING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 31. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR RETAIL, BY COUNTRY, 2017 & 2025 (%)
FIGURE 32. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR HEALTHCARE, BY COUNTRY, 2017 & 2025 (%)
FIGURE 33. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR MEDIA & ENTERTAINMENT, BY COUNTRY, 2017 & 2025 (%)
FIGURE 34. COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR OTHERS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 35. U.S. DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 36. CANADA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 37. UK DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 38. GERMANY DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 39. FRANCE DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 40. REST OF EUROPE DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 41. CHINA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 42. INDIA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 43. JAPAN DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 44. REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 45. LATIN AMERICA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 46. MIDDLE EAST DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 47. AFRICA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 48. AMAZON.COM, INC.: REVENUE, 2015–2017 ($MILLION)
FIGURE 49. AMAZON.COM, INC.: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 50. AMAZON.COM, INC.: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 51. CLOUDERA, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 52. CLOUDERA, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 53. GOOGLE INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 54. GOOGLE INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 55. GOOGLE INC.: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 56. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE, 2016–2018 ($MILLION)
FIGURE 57. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 58. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY REGION, 2018 (%)
FIGURE 59. MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 60. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 61. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 62. ORACLE CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 63. ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 64. ORACLE CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 65. SAP SE: REVENUE, 2016–2018 ($MILLION)
FIGURE 66. SAP SE: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 67. SAP SE: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 68. TERADATA: REVENUE, 2016–2018 ($MILLION)
FIGURE 69. TERADATA: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 70. TERADATA: REVENUE SHARE BY GEOGRAPHY, 2018 (%
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