The data warehousing market size has grown rapidly in recent years. It will grow from $33.76 billion in 2024 to $37.73 billion in 2025 at a compound annual growth rate (CAGR) of 11.7%. The growth in the historic period can be attributed to growth in enterprise data volume, increased complexity of data analysis, business intelligence and reporting needs, expansion of cloud computing, adoption of data warehousing for decision support.
The data warehousing market size is expected to see rapid growth in the next few years. It will grow to $69.64 billion in 2029 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to demand for real-time data analytics, growth in edge computing and IoT data processing, emphasis on hybrid and multi-cloud data warehousing, increased focus on data security and privacy, growing demand for business intelligence and analytics solutions. Major trends in the forecast period include integration of artificial intelligence and machine learning in data warehousing, adoption of data lake architecture, use of in-memory processing for faster analytics, augmented analytics for enhanced business insights, focus on sustainable and green data warehousing practices.
The increasing proliferation of cloud technology is anticipated to drive the growth of the data warehousing market in the future. Cloud technology encompasses the delivery of computer services over the internet, including servers, storage, databases, networking, software, analytics, and intelligence. Cloud data warehouses allow customers to access and protect valuable data while ensuring high processing speeds. For example, according to worldmetrics.org, an independent platform that provides a comprehensive collection of statistics, the global data warehousing market is projected to reach $34.7 billion by 2025, with an expected compound annual growth rate (CAGR) of 9.9% from 2020 to 2025. Importantly, 57% of businesses consider data warehouse modernization crucial for digital transformation, yet over 95% of data warehouse projects reportedly fail to meet business requirements.
Increased use of artificial intelligence is expected to drive the data warehousing market going forward. Artificial Intelligence (AI) is a field of computer science and technology that focuses on creating computer systems and software capable of performing tasks that typically require human intelligence. Data warehousing plays a critical role in AI by providing a structured and consolidated repository for the vast amounts of data required for training and powering machine learning models. It enables organizations to access, process, and analyze data efficiently, facilitating AI-driven insights and predictive analytics. Data warehousing solutions also support data governance and compliance, ensuring the quality and security of data used in AI applications. For instance, in September 2023, Radixweb, an India-based software development company published an article that said, the global AI market is worth $328. 34 billion, and it is expected to grow by 38. 1% from 2021 to 2030. Therefore, the increased use of AI will drive the data warehousing market.
Innovations in data warehousing are emerging as a significant trend in the data warehousing market. Leading companies in this sector are launching innovative products to bolster their market positions. For example, in September 2024, Oracle, a US-based company specializing in data warehousing, introduced the Intelligent Data Lake and Generative AI-Powered Analytics for its Oracle Data Intelligence Platform. These new features enhance data integration and analytics capabilities, allowing organizations to manage and analyze both structured and unstructured data more effectively. The Intelligent Data Lake serves as a scalable repository, while the generative AI tools provide automated insights, thereby improving overall data usability and decision-making processes.
Major companies in the data warehousing market enter strategic collaborations and partnerships to sustain their position in the market such as the strategic collaboration with SAP and Collibra. The alliance between both the company’s focus on integrating its data catalog technology to develop a comprehensive data governance strategy for customers. For instance, in March 2023, SAP SE, a Germany-based software company partnered with Collibra, a Belgium-based data governance platform. The partnership aims to cater to the customers need for a single system of engagement that provides visibility into data across the enterprise and builds the foundation for enterprise-wide governance. The joint customers of both the companies will be able to deliver accurate and trusted data for every use, every user, and across every source.
In October 2023, EDB, a US-based global company, acquired Splitgraph for an undisclosed amount. This acquisition strengthens EDB's commitment to advancing the Postgres ecosystem by allowing users to efficiently execute analytical queries across diverse data sets. The integration enhances data management through improved integration, cataloging, and governance, enabling users to manage in-house data alongside open publisher information via a unified Postgres interface. Splitgraph, also based in the U.S., specializes in enabling users to seamlessly run analytical queries on a variety of data sets.
Major companies operating in the data warehousing market include Actian Corporation, Cloudera Inc., Amazon. com Inc., IBM Corporation, Google LLC, Oracle Corporation, Microsoft Corporation, Snowflake Inc., SAP SE, Amazon Web Services, 1010DATA, AtScale Inc., Dell Technologies Inc., Informatica LLC, Micro Focus International plc, MarkLogic Corporation, Panoply Ltd., Hewlett Packard Enterprise Company, VMware Inc., Huawei Technologies Co. Ltd., Kognitio Ltd., TIBCO Software Inc., Vertica Systems, Yellowbrick Data Inc., Alteryx Inc.
The data warehousing refers to a particular form of data management system called a data warehouse intended to facilitate and support business intelligence (BI) activities, particularly analytics. Data warehouses frequently have a lot of historical data and are only meant to be used for queries and analysis. This uses a variety of sources, including transaction programs and application log files.
The main types of offerings in data warehousing are ETL solutions, statistical analysis, data mining, and other offering types. ETL systems extract data, enforce data quality standards, conform data into a consistent format, and deliver data that is suitable for use by application developers to construct applications and by business users to make choices. The various data types include unstructured data, semi-structured and structured data, and are deployed on-premise, cloud, and hybrid. The various organization types include large enterprises and SMEs. These are used in BFSI, IT and telecom, government, manufacturing, retail, healthcare, media and entertainment, and other industry verticals.
The data warehousing market research report is one of a series of new reports that provides data warehousing market statistics, including data warehousing industry global market size, regional shares, competitors with a data warehousing market share, detailed data warehousing market segments, market trends and opportunities, and any further data you may need to thrive in the data warehousing industry. This data warehousing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
North America was the largest region in the data warehousing market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data warehousing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the data warehousing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.
The data warehousing market consists of revenues earned by entities by providing operations data stores, enterprise data warehouses, and data marts. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The data warehousing market size is expected to see rapid growth in the next few years. It will grow to $69.64 billion in 2029 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to demand for real-time data analytics, growth in edge computing and IoT data processing, emphasis on hybrid and multi-cloud data warehousing, increased focus on data security and privacy, growing demand for business intelligence and analytics solutions. Major trends in the forecast period include integration of artificial intelligence and machine learning in data warehousing, adoption of data lake architecture, use of in-memory processing for faster analytics, augmented analytics for enhanced business insights, focus on sustainable and green data warehousing practices.
The increasing proliferation of cloud technology is anticipated to drive the growth of the data warehousing market in the future. Cloud technology encompasses the delivery of computer services over the internet, including servers, storage, databases, networking, software, analytics, and intelligence. Cloud data warehouses allow customers to access and protect valuable data while ensuring high processing speeds. For example, according to worldmetrics.org, an independent platform that provides a comprehensive collection of statistics, the global data warehousing market is projected to reach $34.7 billion by 2025, with an expected compound annual growth rate (CAGR) of 9.9% from 2020 to 2025. Importantly, 57% of businesses consider data warehouse modernization crucial for digital transformation, yet over 95% of data warehouse projects reportedly fail to meet business requirements.
Increased use of artificial intelligence is expected to drive the data warehousing market going forward. Artificial Intelligence (AI) is a field of computer science and technology that focuses on creating computer systems and software capable of performing tasks that typically require human intelligence. Data warehousing plays a critical role in AI by providing a structured and consolidated repository for the vast amounts of data required for training and powering machine learning models. It enables organizations to access, process, and analyze data efficiently, facilitating AI-driven insights and predictive analytics. Data warehousing solutions also support data governance and compliance, ensuring the quality and security of data used in AI applications. For instance, in September 2023, Radixweb, an India-based software development company published an article that said, the global AI market is worth $328. 34 billion, and it is expected to grow by 38. 1% from 2021 to 2030. Therefore, the increased use of AI will drive the data warehousing market.
Innovations in data warehousing are emerging as a significant trend in the data warehousing market. Leading companies in this sector are launching innovative products to bolster their market positions. For example, in September 2024, Oracle, a US-based company specializing in data warehousing, introduced the Intelligent Data Lake and Generative AI-Powered Analytics for its Oracle Data Intelligence Platform. These new features enhance data integration and analytics capabilities, allowing organizations to manage and analyze both structured and unstructured data more effectively. The Intelligent Data Lake serves as a scalable repository, while the generative AI tools provide automated insights, thereby improving overall data usability and decision-making processes.
Major companies in the data warehousing market enter strategic collaborations and partnerships to sustain their position in the market such as the strategic collaboration with SAP and Collibra. The alliance between both the company’s focus on integrating its data catalog technology to develop a comprehensive data governance strategy for customers. For instance, in March 2023, SAP SE, a Germany-based software company partnered with Collibra, a Belgium-based data governance platform. The partnership aims to cater to the customers need for a single system of engagement that provides visibility into data across the enterprise and builds the foundation for enterprise-wide governance. The joint customers of both the companies will be able to deliver accurate and trusted data for every use, every user, and across every source.
In October 2023, EDB, a US-based global company, acquired Splitgraph for an undisclosed amount. This acquisition strengthens EDB's commitment to advancing the Postgres ecosystem by allowing users to efficiently execute analytical queries across diverse data sets. The integration enhances data management through improved integration, cataloging, and governance, enabling users to manage in-house data alongside open publisher information via a unified Postgres interface. Splitgraph, also based in the U.S., specializes in enabling users to seamlessly run analytical queries on a variety of data sets.
Major companies operating in the data warehousing market include Actian Corporation, Cloudera Inc., Amazon. com Inc., IBM Corporation, Google LLC, Oracle Corporation, Microsoft Corporation, Snowflake Inc., SAP SE, Amazon Web Services, 1010DATA, AtScale Inc., Dell Technologies Inc., Informatica LLC, Micro Focus International plc, MarkLogic Corporation, Panoply Ltd., Hewlett Packard Enterprise Company, VMware Inc., Huawei Technologies Co. Ltd., Kognitio Ltd., TIBCO Software Inc., Vertica Systems, Yellowbrick Data Inc., Alteryx Inc.
The data warehousing refers to a particular form of data management system called a data warehouse intended to facilitate and support business intelligence (BI) activities, particularly analytics. Data warehouses frequently have a lot of historical data and are only meant to be used for queries and analysis. This uses a variety of sources, including transaction programs and application log files.
The main types of offerings in data warehousing are ETL solutions, statistical analysis, data mining, and other offering types. ETL systems extract data, enforce data quality standards, conform data into a consistent format, and deliver data that is suitable for use by application developers to construct applications and by business users to make choices. The various data types include unstructured data, semi-structured and structured data, and are deployed on-premise, cloud, and hybrid. The various organization types include large enterprises and SMEs. These are used in BFSI, IT and telecom, government, manufacturing, retail, healthcare, media and entertainment, and other industry verticals.
The data warehousing market research report is one of a series of new reports that provides data warehousing market statistics, including data warehousing industry global market size, regional shares, competitors with a data warehousing market share, detailed data warehousing market segments, market trends and opportunities, and any further data you may need to thrive in the data warehousing industry. This data warehousing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
North America was the largest region in the data warehousing market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data warehousing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the data warehousing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.
The data warehousing market consists of revenues earned by entities by providing operations data stores, enterprise data warehouses, and data marts. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Data Warehousing Market Characteristics3. Data Warehousing Market Trends And Strategies4. Data Warehousing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market32. Global Data Warehousing Market Competitive Benchmarking And Dashboard33. Key Mergers And Acquisitions In The Data Warehousing Market34. Recent Developments In The Data Warehousing Market
5. Global Data Warehousing Growth Analysis And Strategic Analysis Framework
6. Data Warehousing Market Segmentation
7. Data Warehousing Market Regional And Country Analysis
8. Asia-Pacific Data Warehousing Market
9. China Data Warehousing Market
10. India Data Warehousing Market
11. Japan Data Warehousing Market
12. Australia Data Warehousing Market
13. Indonesia Data Warehousing Market
14. South Korea Data Warehousing Market
15. Western Europe Data Warehousing Market
16. UK Data Warehousing Market
17. Germany Data Warehousing Market
18. France Data Warehousing Market
19. Italy Data Warehousing Market
20. Spain Data Warehousing Market
21. Eastern Europe Data Warehousing Market
22. Russia Data Warehousing Market
23. North America Data Warehousing Market
24. USA Data Warehousing Market
25. Canada Data Warehousing Market
26. South America Data Warehousing Market
27. Brazil Data Warehousing Market
28. Middle East Data Warehousing Market
29. Africa Data Warehousing Market
30. Data Warehousing Market Competitive Landscape And Company Profiles
31. Data Warehousing Market Other Major And Innovative Companies
35. Data Warehousing Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Data Warehousing Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on data warehousing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for data warehousing ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The data warehousing market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Offering Type: ETL Solutions; Statistical Analysis; Data Mining; Other Offering Types2) By Data Type: Unstructured Data; Semi-Structured & Structured Data
3) By Deployment Mode: On-Premise; Cloud; Hybrid
4) By Organization Type: Large enterprises; SMEs
5) By Industry Vertical: BFSI; IT and Telecom; Government; Manufacturing; Retail; Healthcare; Media and Entertainment; Other Industry Verticals
Subsegments:
1) By ETL Solutions: Batch ETL Tools; Real-Time ETL Tools; Data Integration Solutions2) By Statistical Analysis: Descriptive Statistics Tools; Inferential Statistics Tools; Predictive Analytics Tools
3) By Data Mining: Association Rule Learning Tools; Clustering Tools; Classification Tools
4) By Other Offering Types: Data Visualization Tools; Data Governance Solutions; Data Quality Management Tools
Key Companies Mentioned: Actian Corporation; Cloudera Inc.; Amazon. com Inc.; IBM Corporation; Google LLC
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Actian Corporation
- Cloudera Inc.
- Amazon. com Inc.
- IBM Corporation
- Google LLC
- Oracle Corporation
- Microsoft Corporation
- Snowflake Inc.
- SAP SE
- Amazon Web Services
- 1010DATA
- AtScale Inc.
- Dell Technologies Inc.
- Informatica LLC
- Micro Focus International plc
- MarkLogic Corporation
- Panoply Ltd.
- Hewlett Packard Enterprise Company
- VMware Inc.
- Huawei Technologies Co. Ltd.
- Kognitio Ltd.
- TIBCO Software Inc.
- Vertica Systems
- Yellowbrick Data Inc.
- Alteryx Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 200 |
| Published | January 2025 |
| Forecast Period | 2025 - 2029 |
| Estimated Market Value ( USD | $ 37.73 Billion |
| Forecasted Market Value ( USD | $ 69.64 Billion |
| Compound Annual Growth Rate | 16.6% |
| Regions Covered | Global |
| No. of Companies Mentioned | 25 |
