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Global Data Warehousing Market: By Data Type: Structured, Unstructured; By Deployment Model: On Premise, Cloud, Hybrid; By Organisation Type: Large Enterprises, SMEs; By Offering; By Application; Regional Analysis; Historical Market and Forecast (2017-2027); Market Dynamics; Competitive Landscape; Industry Events and Developments
Global Data Warehousing Market Outlook
The global data warehousing market is projected to attain USD 40 billion by 2026.
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Increasing Amount of Data Generation to Propel Market Growth of Data Warehousing
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 Warehousing: Market Segmentation
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:
- Structured
- Unstructured
On the basis of deployment model, the market is divided into:
- On Premise
- Cloud
- Hybrid
Based on organisation type, the market is segmented into:
- Large Enterprises
- SMEs
On the basis of offering, the market is categorised into:
- Statistical Analysis
- Data Mining Tools
- ETL Solutions
- Others
By application, the market is divided into:
- Retail
- Telecom and IT
- BFSI
- Manufacturing
- Healthcare
- Government
- Others
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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Proliferation of Cloud Technology to aid in the Market Growth of Data Warehousing
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.
Key Industry Players in the Global Data Warehousing Market
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:
- Amazon Web Services
- Oracle Corporation
- IBM Corporation
- Teradata Corporation
- Dell Inc.
- Cloudera, Inc.
- Others
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 | 2020 |
| Historical Period | 2017-2021 |
| Forecast Period | 2022-2027 |
| Scope of the Report | Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Data Type, Deployment Model, Organisation Type, Offering, Application, Region |
| Breakup by Data Type | Structured, Unstructured |
| Breakup by Deployment Model | On Premise, Cloud, Hybrid |
| Breakup by Organisation Type | Large Enterprises, SMEs |
| Breakup by Offering | Statistical Analysis, Data Mining Tools, ETL Solutions, Others |
| Breakup by Application | Retail, Telecom and IT, BFSI, Manufacturing, Healthcare, Government, Others |
| Breakup by Region | North America, Latin America, Europe, Middle East and Africa, Asia Pacific |
| Market Dynamics | SWOT, Porter's Five Forces, Key Indicators for Price and Demand |
| Competitive Landscape | Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications |
| Companies Covered | Amazon Web Services, Oracle Corporation, IBM Corporation, Teradata Corporation, Dell Inc., Cloudera, Inc., Others |
| 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. |
*We at Expert Market Research always thrive to give you the latest information. The numbers in the article are only indicative and may be different from the actual report.
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 Industry Opportunities and Challenges
8 Global Data Warehousing Market Analysis
8.1 Key Industry Highlights
8.2 Global Data Warehousing Historical Market (2017-2021)
8.3 Global Data Warehousing Market Forecast (2022-2027)
8.4 Global Data Warehousing Market by Data Type
8.4.1 Structured
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2017-2021)
8.4.1.3 Forecast Trend (2022-2027)
8.4.2 Unstructured
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2017-2021)
8.4.2.3 Forecast Trend (2022-2027)
8.5 Global Data Warehousing Market by Deployment Model
8.5.1 On Premise
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2017-2021)
8.5.1.3 Forecast Trend (2022-2027)
8.5.2 Cloud
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2017-2021)
8.5.2.3 Forecast Trend (2022-2027)
8.5.3 Hybrid
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2017-2021)
8.5.3.3 Forecast Trend (2022-2027)
8.6 Global Data Warehousing Market by Organisation Type
8.6.1 Large Enterprises
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2017-2021)
8.6.1.3 Forecast Trend (2022-2027)
8.6.2 SMEs
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2017-2021)
8.6.2.3 Forecast Trend (2022-2027)
8.7 Global Data Warehousing Market by Offering
8.7.1 Statistical Analysis
8.7.1.1 Market Share
8.7.1.2 Historical Trend (2017-2021)
8.7.1.3 Forecast Trend (2022-2027)
8.7.2 Data Mining Tools
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2017-2021)
8.7.2.3 Forecast Trend (2022-2027)
8.7.3 ETL Solutions
8.7.3.1 Market Share
8.7.3.2 Historical Trend (2017-2021)
8.7.3.3 Forecast Trend (2022-2027)
8.7.4 Others
8.8 Global Data Warehousing Market by Application
8.8.1 Retail
8.8.1.1 Market Share
8.8.1.2 Historical Trend (2017-2021)
8.8.1.3 Forecast Trend (2022-2027)
8.8.2 Telecom and IT
8.8.2.1 Market Share
8.8.2.2 Historical Trend (2017-2021)
8.8.2.3 Forecast Trend (2022-2027)
8.8.3 BFSI
8.8.3.1 Market Share
8.8.3.2 Historical Trend (2017-2021)
8.8.3.3 Forecast Trend (2022-2027)
8.8.4 Manufacturing
8.8.4.1 Market Share
8.8.4.2 Historical Trend (2017-2021)
8.8.4.3 Forecast Trend (2022-2027)
8.8.5 Healthcare
8.8.5.1 Market Share
8.8.5.2 Historical Trend (2017-2021)
8.8.5.3 Forecast Trend (2022-2027)
8.8.6 Government
8.8.6.1 Market Share
8.8.6.2 Historical Trend (2017-2021)
8.8.6.3 Forecast Trend (2022-2027)
8.8.7 Others
8.9 Global Data Warehousing Market by Region
8.9.1 Market Share
8.9.1.1 North America
8.9.1.2 Europe
8.9.1.3 Asia Pacific
8.9.1.4 Latin America
8.9.1.5 Middle East and Africa
9 Regional Analysis
9.1 North America
9.1.1 Historical Trend (2017-2021)
9.1.2 Forecast Trend (2022-2027)
9.1.3 Breakup by Country
9.1.3.1 United States of America
9.1.3.2 Canada
9.2 Europe
9.2.1 Historical Trend (2017-2021)
9.2.2 Forecast Trend (2022-2027)
9.2.3 Breakup by Country
9.2.3.1 United Kingdom
9.2.3.2 Germany
9.2.3.3 France
9.2.3.4 Italy
9.2.3.5 Others
9.3 Asia Pacific
9.3.1 Historical Trend (2017-2021)
9.3.2 Forecast Trend (2022-2027)
9.3.3 Breakup by Country
9.3.3.1 China
9.3.3.2 Japan
9.3.3.3 India
9.3.3.4 ASEAN
9.3.3.5 Australia
9.3.3.6 Others
9.4 Latin America
9.4.1 Historical Trend (2017-2021)
9.4.2 Forecast Trend (2022-2027)
9.4.3 Breakup by Country
9.4.3.1 Brazil
9.4.3.2 Argentina
9.4.3.3 Mexico
9.4.3.4 Others
9.5 Middle East and Africa
9.5.1 Historical Trend (2017-2021)
9.5.2 Forecast Trend (2022-2027)
9.5.3 Breakup by Country
9.5.3.1 Saudi Arabia
9.5.3.2 United Arab Emirates
9.5.3.3 Nigeria
9.5.3.4 South Africa
9.5.3.5 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Value Chain Analysis
12 Competitive Landscape
12.1 Market Structure
12.2 Company Profiles
12.2.1 Amazon Web Services
12.2.1.1 Company Overview
12.2.1.2 Product Portfolio
12.2.1.3 Demographic Reach and Achievements
12.2.1.4 Certifications
12.2.2 Oracle Corporation
12.2.2.1 Company Overview
12.2.2.2 Product Portfolio
12.2.2.3 Demographic Reach and Achievements
12.2.2.4 Certifications
12.2.3 IBM Corporation
12.2.3.1 Company Overview
12.2.3.2 Product Portfolio
12.2.3.3 Demographic Reach and Achievements
12.2.3.4 Certifications
12.2.4 Teradata Corporation
12.2.4.1 Company Overview
12.2.4.2 Product Portfolio
12.2.4.3 Demographic Reach and Achievements
12.2.4.4 Certifications
12.2.5 Dell Inc.
12.2.5.1 Company Overview
12.2.5.2 Product Portfolio
12.2.5.3 Demographic Reach and Achievements
12.2.5.4 Certifications
12.2.6 Cloudera, Inc.
12.2.6.1 Company Overview
12.2.6.2 Product Portfolio
12.2.6.3 Demographic Reach and Achievements
12.2.6.4 Certifications
12.2.7 Others
13 Industry Events and Developments
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, 2016 and 2026
2. Global Data Warehousing Historical Market: Breakup by Data Type (USD Billion), 2017-2021
3. Global Data Warehousing Market Forecast: Breakup by Data Type (USD Billion), 2022-2027
4. Global Data Warehousing Historical Market: Breakup by Deployment Model (USD Billion), 2017-2021
5. Global Data Warehousing Market Forecast: Breakup by Deployment Model (USD Billion), 2022-2027
6. Global Data Warehousing Historical Market: Breakup by Organisation Type (USD Billion), 2017-2021
7. Global Data Warehousing Market Forecast: Breakup by Organisation Type (USD Billion), 2022-2027
8. Global Data Warehousing Historical Market: Breakup by Offering (USD Billion), 2017-2021
9. Global Data Warehousing Market Forecast: Breakup by Offering (USD Billion), 2022-2027
10. Global Data Warehousing Historical Market: Breakup by Application (USD Billion), 2017-2021
11. Global Data Warehousing Market Forecast: Breakup by Application (USD Billion), 2022-2027
12. Global Data Warehousing Historical Market: Breakup by Region (USD Billion), 2017-2021
13. Global Data Warehousing Market Forecast: Breakup by Region (USD Billion), 2022-2027
14. North America Data Warehousing Historical Market: Breakup by Country (USD Billion), 2017-2021
15. North America Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2022-2027
16. Europe Data Warehousing Historical Market: Breakup by Country (USD Billion), 2017-2021
17. Europe Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2022-2027
18. Asia Pacific Data Warehousing Historical Market: Breakup by Country (USD Billion), 2017-2021
19. Asia Pacific Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2022-2027
20. Latin America Data Warehousing Historical Market: Breakup by Country (USD Billion), 2017-2021
21. Latin America Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2022-2027
22. Middle East and Africa Data Warehousing Historical Market: Breakup by Country (USD Billion), 2017-2021
23. Middle East and Africa Data Warehousing Market Forecast: Breakup by Country (USD Billion), 2022-2027
24. Global Data Warehousing Market Structure
Key Questions Answered in the Report
The major drivers of the market include the increasing demand for high data volume management, the growing demand for business intelligence (BI) solutions, increased 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 industry trends guiding the market growth include the rapid digitalisation across industry verticals and the increased adoption of technologically advanced solutions for business process optimisation.
The major regions in the industry 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 considered within the market report include large enterprises and SMEs.
The various offerings include statistical analysis, data mining tools, ETL solutions, and others.
The significant applications are retail, telecom and IT, BFSI, manufacturing, healthcare, government, and others.
The major players in the industry are Amazon Web Services, Oracle Corporation, IBM Corporation, Teradata Corporation, Dell Inc., Cloudera, Inc., and others.
Analyst Review
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 2022-2027.
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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