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The global data warehousing market reached a value of USD 32.26 billion in 2023. The market is further projected to grow at a CAGR of 10.2% in the forecast period of 2024-2032, reaching a value of around USD 77.32 billion by 2032.
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Factors such as the growing volume of data generated by companies and the increasing demand for Business Intelligence (BI) to achieve competitive advantage are responsible for the growth of the data warehousing industry. The vast amounts of data created by different market verticals put immense pressure on established enterprise infrastructure, pushing them to implement effective, portable, and scalable storage technologies for data warehousing. Using specialised data analysis and BI software, this knowledge can be leveraged, providing customers with useful market analytics for improved operating performance, stronger decision management, improving customer engagement, and growing sales streams. Due to the early adoption of data warehousing, North America has significantly contributed to the overall market share of data warehousing in recent years, consistently producing vast amounts of data from different sources in this field. Furthermore, the growth of this segment is fueled by the involvement of most of the major players in data warehousing and regulation and enforcement policies.
Data warehouse refers to a relational database built to analyze and conduct query processing. In general, data warehousing is used by businesses since the data processed by these warehouses is massive in scale. The warehouse holds data derived from past transactions; however, data from numerous other sources is also included.
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By data type, the market is bifurcated into:
On the basis of deployment model, the market is divided into:
Based on organisation type, the market is segmented into:
On the basis of offering, the market is categorised into:
By application, the market is divided into:
The regional markets for the product include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
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In recent years, the introduction of cloud technologies has allowed the data warehousing industry to expand. Cloud technology offers an architecture optimized for data warehousing that further enhances its capacity. The main reasons responsible for implementing cloud-based data warehousing technologies are budget constraints and the time required to develop in-house applications. With the use of cloud technologies, overhead costs are minimized, as room and cooling costs are nonexistent. If processing resources and storage have distinct scalability, storing data on-site can become very costly. Cloud warehouses can instantly scale themselves to have as high or as low processing requirements as required, making them extremely cost-effective. Cloud data warehousing is gaining tremendous popularity among companies as it offers various advantages, including multiple support for data types, on-demand computation, infinite capacity, and competitive pricing models.
The report gives a detailed analysis of the following key players in the global data warehousing market, covering their competitive landscape, capacity, and latest developments like mergers, acquisitions, and investments, expansions of capacity, and plant turnarounds:
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Data Type |
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Breakup by Deployment Model |
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Breakup by Organisation Type |
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Breakup by Offering |
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Breakup by Application |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Data Warehousing Market Analysis
8.1 Key Industry Highlights
8.2 Global Data Warehousing Historical Market (2018-2023)
8.3 Global Data Warehousing Market Forecast (2024-2032)
8.4 Global Data Warehousing Market by Data Type
8.4.1 Structured
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Unstructured
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global Data Warehousing Market by Deployment Model
8.5.1 On Premise
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Cloud
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.5.3 Hybrid
8.5.3.1 Historical Trend (2018-2023)
8.5.3.2 Forecast Trend (2024-2032)
8.6 Global Data Warehousing Market by Organisation Type
8.6.1 Large Enterprises
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 SMEs
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.7 Global Data Warehousing Market by Offering
8.7.1 Statistical Analysis
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Data Mining Tools
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 ETL Solutions
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Others
8.8 Global Data Warehousing Market by Application
8.8.1 Retail
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Telecom and IT
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 BFSI
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Manufacturing
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Healthcare
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
8.8.6 Government
8.8.6.1 Historical Trend (2018-2023)
8.8.6.2 Forecast Trend (2024-2032)
8.8.7 Others
8.9 Global Data Warehousing Market by Region
8.9.1 North America
8.9.1.1 Historical Trend (2018-2023)
8.9.1.2 Forecast Trend (2024-2032)
8.9.2 Europe
8.9.2.1 Historical Trend (2018-2023)
8.9.2.2 Forecast Trend (2024-2032)
8.9.3 Asia Pacific
8.9.3.1 Historical Trend (2018-2023)
8.9.3.2 Forecast Trend (2024-2032)
8.9.4 Latin America
8.9.4.1 Historical Trend (2018-2023)
8.9.4.2 Forecast Trend (2024-2032)
8.9.5 Middle East and Africa
8.9.5.1 Historical Trend (2018-2023)
8.9.5.2 Forecast Trend (2024-2032)
9 North America Data Warehousing Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Data Warehousing Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Data Warehousing Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Data Warehousing Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Data Warehousing Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Value Chain Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Company Profiles
16.2.1 Amazon Web Services
16.2.1.1 Company Overview
16.2.1.2 Product Portfolio
16.2.1.3 Demographic Reach and Achievements
16.2.1.4 Certifications
16.2.2 Oracle Corporation
16.2.2.1 Company Overview
16.2.2.2 Product Portfolio
16.2.2.3 Demographic Reach and Achievements
16.2.2.4 Certifications
16.2.3 IBM Corporation
16.2.3.1 Company Overview
16.2.3.2 Product Portfolio
16.2.3.3 Demographic Reach and Achievements
16.2.3.4 Certifications
16.2.4 Teradata Corporation
16.2.4.1 Company Overview
16.2.4.2 Product Portfolio
16.2.4.3 Demographic Reach and Achievements
16.2.4.4 Certifications
16.2.5 Dell Inc.
16.2.5.1 Company Overview
16.2.5.2 Product Portfolio
16.2.5.3 Demographic Reach and Achievements
16.2.5.4 Certifications
16.2.6 Cloudera, Inc.
16.2.6.1 Company Overview
16.2.6.2 Product Portfolio
16.2.6.3 Demographic Reach and Achievements
16.2.6.4 Certifications
16.2.7 Others
17 Key Trends and Developments in the Market
Additional Customisations Available
1 Manufacturing Process
1.1 Overview
1.2 Detailed Process Flow
1.3 Operation Involved
2 Project Requirement and Cost Analysis
2.1 Land, Location and Site Development
2.2 Construction
2.3 Plant Machinery
2.4 Cost of Raw Material
2.5 Packaging
2.6 Transportation
2.7 Utilities
2.8 Manpower
2.9 Other Capital Investment
List of Key Figures and Tables
1. Global Data Warehousing Market: Key Industry Highlights, 2018 and 2032
2. Global Data Warehousing Historical Market: Breakup by Data Type (USD Billion), 2018-2023
3. Global Data Warehousing Market Forecast: Breakup by Data Type (USD Billion), 2024-2032
4. Global Data Warehousing Historical Market: Breakup by Deployment Model (USD Billion), 2018-2023
5. Global Data Warehousing Market Forecast: Breakup by Deployment Model (USD Billion), 2024-2032
6. Global Data Warehousing Historical Market: Breakup by Organisation Type (USD Billion), 2018-2023
7. Global Data Warehousing Market Forecast: Breakup by Organisation Type (USD Billion), 2024-2032
8. Global Data Warehousing Historical Market: Breakup by Offering (USD Billion), 2018-2023
9. Global Data Warehousing Market Forecast: Breakup by Offering (USD Billion), 2024-2032
10. Global Data Warehousing Historical Market: Breakup by Application (USD Billion), 2018-2023
11. Global Data Warehousing Market Forecast: Breakup by Application (USD Billion), 2024-2032
12. Global Data Warehousing Historical Market: Breakup by Region (USD Billion), 2018-2023
13. Global Data Warehousing Market Forecast: Breakup by Region (USD Billion), 2024-2032
14. North America Data Warehousing Historical Market: Breakup by Country (USD Billion), 2018-2023
15. North America Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Europe Data Warehousing Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Europe Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Asia Pacific Data Warehousing Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Asia Pacific Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Latin America Data Warehousing Historical Market: Breakup by Country (USD Billion), 2018-2023
21. Latin America Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2024-2032
22. Middle East and Africa Data Warehousing Historical Market: Breakup by Country (USD Billion), 2018-2023
23. Middle East and Africa Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2024-2032
24. Global Data Warehousing Market Structure
The major drivers of the market include the increasing demand for high data volume management, the growing demand for business intelligence (BI) solutions, rising penetration of the cloud technology, beneficial features of the technology like cost efficiency, multiple support for data types, on-demand computation, infinite capacity, and competitive price models.
The key trends guiding the market growth include the rapid digitalisation across market verticals and the increased adoption of technologically advanced solutions for business process optimisation.
The major regions in the market are North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific.
The major data types include structured and unstructured.
The significant deployment modes include on premise, cloud, and hybrid.
The different organisation types include large enterprises and SMEs.
The various offerings of data warehousing include statistical analysis, data mining tools, and ETL solutions, among others.
The significant applications are retail, telecom and IT, BFSI, manufacturing, healthcare, and government, among others.
The key players in the global data warehousing market are Amazon Web Services, Oracle Corporation, IBM Corporation, Teradata Corporation, Dell Inc., and Cloudera, Inc., among others.
The global data warehousing market is being propelled by the rapid digitalisation in major industry verticals. Aided by the increasing demand for high data volume management across businesses, the market is expected to witness a healthy growth in the forecast period of 2024-2032.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on data type, the global data warehousing industry can be segmented into structured and unstructured. Based on deployment mode, the market is divided into on premise, cloud, and hybrid. On the basis of organisation type, the market can be segmented into large enterprises and SMEs. The market, based on offering, can be segregated into statistical analysis, data mining tools, ETL solutions, and others. On the basis of application, the market can be segmented into retail, telecom and IT, BFSI, manufacturing, healthcare, government, and others. The major regional markets for data warehousing are North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific. The key players in the above market include Amazon Web Services, Oracle Corporation, IBM Corporation, Teradata Corporation, Dell Inc., Cloudera, Inc., and others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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