This report delves into the adoption of Data Warehouse platforms by the Global Top 100 companies, both privately-held and publicly-traded, as ranked by size, including employee count and revenue metrics, such as those found in the Fortune 1000 and Global 2000 listings. We explore how these leading enterprises are leveraging Data Warehouse to pursue strategic goals and drive lasting benefits across various business functions.
The adoption of Data Warehouse within these top companies reveals significant investments in Business Intelligence technology, highlighting a broad and diverse approach. These organizations frequently partner with multiple vendors, integrating complementary BI solutions to achieve their business objectives. This multi-vendor approach allows them to tailor Analytics and BI deployments that drive competitive advantages, operational efficiencies, and overall sustainability.
Our latest findings detail the software purchases related to Data Warehouse platforms among these top 100 enterprises, their technology investments span a range of BI tools and solutions, underscoring the complexity of BI adoption at this level.
Data Warehouse Vendors Among the Global Top 100
SAP currently holds a 29% market share in the Data Warehouse space, making it the leading provider among the Global Top 100, followed by IBM, Cloudera, Snowflake, and Oracle.
Vendors | Data Warehosue Apps | Market Share |
---|---|---|
SAP | SAP BW (Business Warehouse), SAP BW/4HANA | 29.00% |
IBM | IBM Netezza Data Warehouse | 24.00% |
Cloudera | Cloudera Data Warehouse, Cloudera Enterprise Platform, | 16.00% |
Snowflake | Snowflake Data Warehouse, Snowflake Telecom Data Cloud | 12.00% |
Oracle | Oracle Autonomous Data Warehouse | 7.00% |
Epic Systems | Epic Caboodle (ex Cogito Data Warehouse), Epic Clarity | 5.00% |
Microsoft | Microsoft Azure Synapse Analytics | 2.00% |
Informatica | Informatica Data Quality | 2.00% |
Google BigQuery | 2.00% | |
Apache Software | Apache Hive | 1.00% |
Grand Total | 100.00% |
The insights derived from our research will empower marketers, product managers, and IT professionals to better understand the adoption trends shaping the future of Data Warehouse. These trends can potentially lead to significant shifts within the competitive landscape, impacting strategies and market positioning for years to come.
By monitoring these top enterprises and their technology choices, we equip our clients with the knowledge needed to anticipate changes and stay ahead in the rapidly transforming world of enterprise software and DW innovation.
Custom data cuts related to the Data Warehouse Market are available:
- Top Data Warehouse Vendors, Market Size and Market Forecast 2023-2027
- Data Warehouse Market By Vertical Market (21 Industry)
- Data Warehouse Market By Country (USA + 45 countries)
- Data Warehouse Market By Region (Americas, EMEA, APAC)
- Data Warehouse Market By Customer Size (revenue, employee count, asset)
- Data Warehouse Market By Channel (Direct vs Indirect)
- Data Warehouse Market By Vendor or Product
- Case Western Reserve University, a United States based Education organization with 4147 Employees
- JPMorgan Chase & Co, a United States based Banking and Financial Services company with 317233 Employees
- Zinnov, a India based Oil, Gas and Chemicals organization with 100 Employees
Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Global Top 100 adopting Data Warehouse Platforms
The influence of these top 100 organizations on the broader DW market is profound, despite their representation of only a small segment of the digital transformations we track annually. These companies often serve as early adopters and trendsetters, shaping the future of AI and driving innovations that impact the industry at large.
Our Buyer Insight Technographics Database provides a closer look at these major organizations, capturing the size and intricacy of their IT stacks, along with the frequency of their technology investments. This unique database reveals patterns in BI adoption and highlights emerging trends, which are crucial for understanding the evolving landscape of Data Warehouse.
Our research team continuously tracks the adoption of various Data Warehouse platforms, drawing on both publicly available information, such as press releases and case studies, and proprietary data sources. Each quarter, we update our records to reflect new BI implementations, providing clients with current and relevant insights into market shifts.
Here are the Global Top 100 companies and their adoption of Data Warehouse
Customer | Industry | Empl. | Revenue | Country | Vendor |
| When | |
---|---|---|---|---|---|---|---|---|
Walmart | Retail | 2100000 | $648.1B | United States | Cloudera | Cloudera Hortonworks Data Platform | 2011 | |
Walmart | Retail | 2100000 | $648.1B | United States | IBM | IBM Netezza Data Warehouse | 2014 | |
Accenture | Professional Services | 750000 | $64.1B | Ireland | SAP | SAP BW (Business Warehouse) | 2016 | |
Accenture | Professional Services | 750000 | $64.1B | Ireland | SAP | SAP BW/4HANA | 2017 | |
Inspire Brands | Retail | 650000 | $14.6B | United States | IBM | IBM Netezza Data Warehouse | 2019 | |
United States Postal Service | Transportation | 640000 | $78.4B | United States | Oracle | Oracle Autonomous Data Warehouse | 2018 | |
DHL Group | Transportation | 594879 | $87.5B | Germany | SAP | SAP BW (Business Warehouse) | 2005 | |
Schwarz Group | Retail | 550000 | $129.0B | Germany | SAP | SAP BW/4HANA | 2018 | |
Home Depot | Retail | 465000 | $15.7B | United States | Google BigQuery | 2015 | ||
Home Depot | Retail | 465000 | $15.7B | United States | IBM | IBM Netezza Data Warehouse | 2019 | |
Charoen Pokphand Group Co. | Consumer Packaged Goods | 450000 | $82.0B | Thailand | SAP | SAP BW (Business Warehouse) | 2016 | |
Target Corporation | Retail | 440000 | $109.1B | United States | Oracle | Oracle Autonomous Data Warehouse | 2020 | |
Target Corporation | Retail | 440000 | $109.1B | United States | SAP | SAP BW/4HANA | 2014 | |
UHG | Healthcare | 440000 | $324.1B | United States | IBM | IBM Netezza Data Warehouse | 2018 | |
Target Corporation | Retail | 440000 | $109.1B | United States | IBM | IBM Netezza Data Warehouse | 2012 | |
Subscribe | Retail | 414000 | $150.0B | United States | IBM | IBM Netezza Data Warehouse | 2018 | |
Subscribe | Leisure and Hospitality | 411000 | $23.7B | United States | IBM | IBM Netezza Data Warehouse | 2018 | |
Subscribe | Retail | 410000 | $75.0B | Germany | SAP | SAP BW (Business Warehouse) | 2015 | |
Subscribe | Professional Services | 395442 | $49.4B | United Kingdom | Cloudera | Cloudera Hortonworks Data Platform | 2014 | |
Subscribe | Retail | 376000 | $134.2B | Germany | SAP | SAP BW/4HANA | 2017 | |
Subscribe | Government | 371000 | $301.0B | United States | IBM | IBM Netezza Data Warehouse | 2018 | |
Subscribe | Retail | 350000 | $19.6B | United States | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Communications | 330000 | $45.0B | Brazil | Cloudera | Cloudera Hortonworks Data Platform | 2019 | |
Subscribe | Retail | 329000 | $30.5B | United States | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Transportation | 328000 | $90.2B | United States | IBM | IBM Netezza Data Warehouse | 2019 | |
Subscribe | Consumer Packaged Goods | 318000 | $91.5B | United States | Snowflake | Snowflake Data Warehouse | 2019 | |
Subscribe | Consumer Packaged Goods | 318000 | $91.5B | United States | SAP | SAP BW/4HANA | 2016 | |
Subscribe | Consumer Packaged Goods | 318000 | $91.5B | United States | IBM | IBM Netezza Data Warehouse | 2015 | |
Subscribe | Retail | 316000 | $242.3B | United States | Cloudera | Cloudera Enterprise Platform | 2013 | |
Subscribe | Retail | 316000 | $242.3B | United States | SAP | SAP BW (Business Warehouse) | 2014 | |
Subscribe | Retail | 300000 | $86.4B | United States | Google BigQuery | 2018 | ||
Subscribe | Retail | 300000 | $86.4B | United States | IBM | IBM Netezza Data Warehouse | 2012 | |
Subscribe | Healthcare | 294000 | $60.2B | United States | IBM | IBM Netezza Data Warehouse | 2010 | |
Subscribe | Retail | 290000 | $72.0B | United States | Snowflake | Snowflake Data Warehouse | 2019 | |
Subscribe | Banking and Financial Services | 281000 | $25.4B | Russia | SAP | SAP BW/4HANA | 2018 | |
Subscribe | Consumer Packaged Goods | 270000 | $93.4B | Switzerland | SAP | SAP BW (Business Warehouse) | 2009 | |
Subscribe | Consumer Packaged Goods | 270000 | $93.4B | Switzerland | SAP | SAP BW/4HANA | 2019 | |
Subscribe | Oil, Gas and Chemicals | 265000 | $7.7B | Luxembourg | Cloudera | Cloudera Enterprise Platform | 2017 | |
Subscribe | Automotive | 260000 | $16.2B | India | SAP | SAP BW/4HANA | 2016 | |
Subscribe | Professional Services | 248937 | $21.5B | United States | IBM | IBM Netezza Data Warehouse | 2016 | |
Subscribe | Retail | 240000 | $57.5B | United States | SAP | SAP BW (Business Warehouse) | 2020 | |
Subscribe | Insurance | 235785 | $100.8B | United States | IBM | IBM Netezza Data Warehouse | 2022 | |
Subscribe | Healthcare | 234000 | $226.6B | United States | IBM | IBM Netezza Data Warehouse | 2019 | |
Subscribe | Healthcare | 234000 | $226.6B | United States | Epic Systems | Epic Caboodle (ex Cogito Data Warehouse) | 2022 | |
Subscribe | Healthcare | 234000 | $226.6B | United States | Epic Systems | Epic Clarity | 2022 | |
Subscribe | Retail | 230000 | $27.0B | Hong Kong | SAP | SAP BW/4HANA | 2020 | |
Subscribe | Banking and Financial Services | 229000 | $78.5B | United States | Cloudera | Cloudera Enterprise Platform | 2012 | |
Subscribe | Banking and Financial Services | 229000 | $78.5B | United States | IBM | IBM Netezza Data Warehouse | 2019 | |
Subscribe | Professional Services | 228000 | $245.1B | United States | SAP | SAP BW/4HANA | 2018 | |
Subscribe | Banking and Financial Services | 222544 | $82.6B | United States | Cloudera | Cloudera Enterprise Platform | 2011 | |
Subscribe | Banking and Financial Services | 222544 | $82.6B | United States | IBM | IBM Netezza Data Warehouse | 2015 | |
Subscribe | Healthcare | 219000 | $357.8B | United States | IBM | IBM Netezza Data Warehouse | 2020 | |
Subscribe | Retail | 219000 | $116.8B | United States | IBM | IBM Netezza Data Warehouse | 2011 | |
Subscribe | Healthcare | 219000 | $357.8B | United States | Epic Systems | Epic Clarity | 2014 | |
Subscribe | Healthcare | 219000 | $357.8B | United States | Epic Systems | Epic Caboodle (ex Cogito Data Warehouse) | 2014 | |
Subscribe | Banking and Financial Services | 212000 | $98.6B | United States | Cloudera | Cloudera Enterprise Platform | 2014 | |
Subscribe | Banking and Financial Services | 212000 | $98.6B | United States | Microsoft | Microsoft Azure Synapse Analytics | 2017 | |
Subscribe | Banking and Financial Services | 212000 | $98.6B | United States | IBM | IBM Netezza Data Warehouse | 2014 | |
Subscribe | Retail | 207552 | $36.7B | India | SAP | SAP BW (Business Warehouse) | 2010 | |
Subscribe | Retail | 206000 | $139.1B | United States | Oracle | Oracle Autonomous Data Warehouse | 2020 | |
Subscribe | Retail | 206000 | $139.1B | United States | Microsoft | Microsoft Azure Synapse Analytics | 2019 | |
Subscribe | Retail | 206000 | $139.1B | United States | SAP | SAP BW/4HANA | 2019 | |
Subscribe | Communications | 204236 | $122.9B | Germany | Cloudera | Cloudera Enterprise Platform | 2017 | |
Subscribe | Manufacturing | 202763 | $44.5B | Germany | SAP | SAP BW (Business Warehouse) | 2018 | |
Subscribe | Manufacturing | 200000 | $17.1B | Singapore | SAP | SAP BW (Business Warehouse) | 2010 | |
Subscribe | Professional Services | 200000 | $64.3B | Australia | Cloudera | Cloudera Data Warehouse | 2015 | |
Subscribe | Professional Services | 200000 | $64.3B | Australia | SAP | SAP BW (Business Warehouse) | 2015 | |
Subscribe | Manufacturing | 200000 | $17.1B | Singapore | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Professional Services | 190711 | $282.8B | United States | SAP | SAP BW/4HANA | 2018 | |
Subscribe | Retail | 188811 | $37.3B | France | SAP | SAP BW (Business Warehouse) | 2015 | |
Subscribe | Professional Services | 186000 | $121.6B | United States | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Retail | 185800 | $38.7B | United States | Snowflake | Snowflake Data Warehouse | 2018 | |
Subscribe | Automotive | 177000 | $176.2B | United States | Cloudera | Cloudera Hortonworks Data Platform | 2011 | |
Subscribe | Automotive | 177000 | $176.2B | United States | Cloudera | Cloudera Enterprise Platform | 2012 | |
Subscribe | Automotive | 177000 | $176.2B | United States | Oracle | Oracle Autonomous Data Warehouse | 2020 | |
Subscribe | Automotive | 177000 | $176.2B | United States | IBM | IBM Netezza Data Warehouse | 2018 | |
Subscribe | Automotive | 176000 | $93.6B | United States | IBM | IBM Netezza Data Warehouse | 2020 | |
Subscribe | Media | 173250 | $88.9B | United States | SAP | SAP BW (Business Warehouse) | 2018 | |
Subscribe | Utilities | 171490 | $156.8B | France | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Professional Services | 160900 | $12.6B | United States | Oracle | Oracle Autonomous Data Warehouse | 2020 | |
Subscribe | Banking and Financial Services | 157883 | $112.1B | Germany | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Healthcare | 156000 | $28.4B | United States | Epic Systems | Epic Clarity | 2018 | |
Subscribe | Consumer Packaged Goods | 154540 | $65.3B | Belgium | SAP | SAP BW (Business Warehouse) | 2009 | |
Subscribe | Automotive | 150000 | $27.9B | France | Cloudera | Cloudera Enterprise Platform | 2016 | |
Subscribe | Retail | 150000 | $21.8B | Brazil | Cloudera | Cloudera Enterprise Platform | 2020 | |
Subscribe | Automotive | 149475 | $154.7B | Germany | Informatica | Informatica Data Quality | 2018 | |
Subscribe | Retail | 148498 | $43.1B | United Kingdom | Snowflake | Snowflake Data Warehouse | 2020 | |
Subscribe | Communications | 146040 | $122.4B | United States | Apache Software | Apache Hive | 2018 | |
Subscribe | Communications | 146040 | $122.4B | United States | Snowflake | Snowflake Data Warehouse | 2022 | |
Subscribe | Communications | 146040 | $122.4B | United States | Snowflake | Snowflake Telecom Data Cloud | 2024 | |
Subscribe | Retail | 138808 | $87.6B | United States | Oracle | Oracle Autonomous Data Warehouse | 2020 | |
Subscribe | Automotive | 133580 | $88.4B | Japan | Cloudera | Cloudera Hortonworks Data Platform | 2014 | |
Subscribe | Life Sciences | 131900 | $85.2B | United States | SAP | SAP BW (Business Warehouse) | 2010 | |
Subscribe | Life Sciences | 131900 | $85.2B | United States | IBM | IBM Netezza Data Warehouse | 2018 | |
Subscribe | Life Sciences | 131900 | $85.2B | United States | Informatica | Informatica Data Quality | 2016 | |
Subscribe | Professional Services | 130000 | $13.7B | United States | SAP | SAP BW/4HANA | 2015 | |
Subscribe | Construction and Real Estate | 130000 | $31.9B | United States | IBM | IBM Netezza Data Warehouse | 2021 | |
Subscribe | Professional Services | 128400 | $72.0B | United States | Cloudera | Cloudera Enterprise Platform | 2015 | |
Subscribe | Manufacturing | 124800 | $54.2B | United States | SAP | SAP BW (Business Warehouse) | 2020 | |
Subscribe | Education | 104546 | $25.1B | United States | Oracle | Oracle Autonomous Data Warehouse | 2019 |
Source: APPS RUN THE WORLD, October 2024
Research Methodology
Each year our global team of researchers conduct an annual survey of thousands of enterprise software vendors by contacting them directly on their latest quarterly and annual revenues by country, functional area, and vertical market. We supplement their written responses with our own primary research to determine quarterly and yearly growth rates, In addition to customer wins to ascertain whether these are net new purchases or expansions of existing implementations.
Another dimension of our proactive research process is through continuous improvement of our customer database, which stores more than ten million software purchases and records on the enterprise software landscape of over 2 million organizations around the world.
The database provides customer insight and contextual information on what types of enterprise software systems and other relevant technologies are they running and their propensity to invest further with their current or new suppliers as part of their overall IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
The result is a combination of supply-side data and demand-generation customer insight that allows our clients to better position themselves in anticipation of the next wave that will reshape the enterprise software marketplace for years to come.