Data Warehousing Market- Size By Data Type, By Deployment Model, By Organization Type, By Offering, By Application and by Region – Global Industry Analysis, Market Share, Trends, Size, and Forecasts to 2020 – 2027.

Global Data Warehousing Market is expected to grow at a CAGR of 10.83% during the forecast period and market is expected to reach US$ 51.7 Bn. by 2027. Global Data Warehousing Market To know about the Research Methodology :- Request Free Sample Report The enterprises use tools like, data warehousing tools and Database Management System (DBMS) to access the data stored on warehouse servers. This data is used for delivering valuable business insights, improved operational efficiency, analytical reports, superior decision making, support customer retention, and cumulative revenue streams.The report study has analyzed revenue impact of COVID -19 pandemic on the sales revenue of market leaders, market followers and market disrupters in the report and same is reflected in our analysis. The data warehousing market growth is accelerated by several factors such as the rapidly increasing volume of data generated by enterprises and rising need for Business Intelligence (BI) to gain competitive advantage. The rising trend of Cloud data warehousing is also expected to fuel the market growth. The increase use of Data Warehouse as-a-Service (DWaaS) and the increasing popularity of unstructured data for data analytics are further expected to fuel market growth.

Rise in unstructured data is expected to drive the segment at over 11.XX% CAGR during forecast period.

The Unstructured data, which includes data not associated with a recognizable model, and the market for unstructured warehousing market, is anticipated to grow at 11.XX% CAGR from 2020 to 2027. The major supplementing factors in growth of the unstructured data warehousing market is the existence of crucial underlying information and enterprises leverage unstructured data for advanced analytics. Additionally, the rapid adoption of flexible cloud data warehouses with unstructured data, is the another reason for unstructured data segment to witness high growth during the forecast period.

Cloud warehousing solutions estimated to grow at 16% CAGR during forecast period.

If computing power and storage have different scalability then storing data on-premise gets very expensive. Whereas cloud warehouses can directly scale themselves to provide computing needs as required at the same time making them available at economic prize. Cloud data warehousing is gaining noteworthy popularity among enterprises as it provides several advantages such as, unlimited storage, on-demand computing, multiple data type support and cost effective pricing models. The feature of affordable costs and low infrastructure requirements makes them most preferred among SMEs. Supportive initiatives by government to promote cloud computing and big data analytics are also a major growth factor for the market.

Data Warehousing Market, by BFSI Segment to Grow at Fastest Pace of CAGR XX.XX% during Forecast Period.

The vast use of data mining and big data analytics by the BFSI institutions have increased the adoption of data warehousing solutions. These institutions are increasingly deploying solutions for predictive fraud analytics, measuring credit risk, spotting false insurance claims and ensuring government compliance, supplementing the data warehousing market demand. The introduction of IoT in BFSI with connected devices such as ATMs, mobile banking, and smart credit cards, has additionally fueled the demand for Big Data analytics as well as data warehousing.

Huge Data Amount in Large Enterprises to Drive Data Warehousing Market and Grow Large Enterprises Segment at CAGR of XX.XX%

Large enterprises operates on a bulk amount of data, hence they are early adopters of data warehousing solutions. They install advanced enterprise solutions, such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP), which makes their working efficient and boost the organization’s growth. With the improvement of hybrid warehousing models, large enterprises can couple with the flexibility and scalability of cloud warehouse using on-premise data warehousing.

Global Data Warehousing Market, Regional Analysis:

With the rapid and wide-scale adoption of cloud technologies, the North America plays an important role in the growth contribution of global data warehousing, this region held market share of US$ XX.XX Bn in 2019 and is expected grow with CAGR XX.XX% from 2020 to 2027. Enterprises in Asia Pacific are establishing various data centers for providing big data solutions and cloud data warehousing systems. The Asia Pacific data warehousing market is expected to witness growth at over 17.XX% CAGR in forecast duration from 2020 to 2027 due to the rapid growth of IT infrastructure and increasing number of data centers.

Global Data Warehousing Market, Recent Activities:

In 2019, Alibaba (A Chinese e-commerce firm) launched two cloud-based data centers in China, with the aim of providing cloud data warehousing solutions to Chinese enterprises in the Hohhot and Chengdu industrial areas. The services are also acting as a cost effective solution for SMEs due to no high infrastructure investments and economical pricing. In May 2019, Oracle partnered with a German company developing Linux software, named as SUSE, for integrating its Oracle Database 19c data warehouse software into its SUSE platform. The aim of partnership is to provide hybrid memory partitioning and advanced diagnostics. Several other activities and developments, of the several players across globe, are illustrated in the report.

Objective of the Global Data Warehousing Market

The objective of the report is to present a comprehensive analysis of Global Data Warehousing Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants by region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by region on the market are presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global Data Warehousing Market dynamics, structure by analyzing the market segments and project the Global Data Warehousing Market size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Global Data Warehousing Market make the report investor’s guide.

Scope of Global Data Warehousing Market: Inquire before buying

Global Data Warehousing Market is studied by Various Segments:

Global Data Warehousing Market by Data Type

• Structured • Unstructured

Global Data Warehousing Market by Deployment Model

• On-premise • Cloud • Hybrid

Global Data Warehousing Market by Organization Type

• Large enterprises • SMEs

Global Data Warehousing Market by Offering

• Statistical analysis • Data mining tools • Extract, Transform & Load (ETL) Solutions • Others

Global Data Warehousing Market by Application

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

Global Data Warehousing Market by Region

• North America • Europe • Asia Pacific • Latin America • Middle East & Africa (MEA)

Some of the major companies profiled in the report of data warehousing market are:

• AWS, • 1010DATA, • Accur8Software, • Actian Corp, • AtScale, Inc., • Attunity, • Cloudera, Inc., • Dell, • Google, • IBM Corporation, • Informatica, • Microfocus, • Microsoft Corporation, • MarkLogic Corporation, • Netavis Software Gmbh, • Oracle Corporation, • Panoply Ltd., • Pivotal Software, Inc., • SAP SE, • Sigma Computing, • Snowflake, Inc., • Teradata, • Talend, • SAS Institute, Inc.
Global Data Warehousing Market 1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Data Warehousing Market Size, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Data Warehousing Market Analysis and Forecast 6.1. Global Data Warehousing Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Data Warehousing Market Analysis and Forecast, By Data Type 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Data Warehousing Market Value Share Analysis, By Data Type 7.4. Global Data Warehousing Market Size (US$ Bn) Forecast, By Data Type 7.5. Global Data Warehousing Market Analysis, By Data Type 7.6. Global Data Warehousing Market Attractiveness Analysis, By Data Type 8. Global Data Warehousing Market Analysis and Forecast, By Organization Type 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Data Warehousing Market Value Share Analysis, By Organization Type 8.4. Global Data Warehousing Market Size (US$ Bn) Forecast, By Organization Type 8.5. Global Data Warehousing Market Analysis, By Organization Type 8.6. Global Data Warehousing Market Attractiveness Analysis, By Organization Type 9. Global Data Warehousing Market Analysis and Forecast, By Deployment Model 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Data Warehousing Market Value Share Analysis, By Deployment Model 9.4. Global Data Warehousing Market Size (US$ Bn) Forecast, By Deployment Model 9.5. Global Data Warehousing Market Analysis, By Deployment Model 9.6. Global Data Warehousing Market Attractiveness Analysis, By Deployment Model 10. Global Data Warehousing Market Analysis and Forecast, By Offering 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Data Warehousing Market Value Share Analysis, By Offering 10.4. Global Data Warehousing Market Size (US$ Bn) Forecast, By Offering 10.5. Global Data Warehousing Market Analysis, By Offering 10.6. Global Data Warehousing Market Attractiveness Analysis, By Offering 11. Global Data Warehousing Market Analysis and Forecast, By Application 11.1. Introduction and Definition 11.2. Key Findings 11.3. Global Data Warehousing Market Value Share Analysis, By Application 11.4. Global Data Warehousing Market Size (US$ Bn) Forecast, By Application 11.5. Global Data Warehousing Market Analysis, By Application 11.6. Global Data Warehousing Market Attractiveness Analysis, By Application 12. Global Data Warehousing Market Analysis, by Region 12.1. Global Data Warehousing Market Value Share Analysis, by Region 12.2. Global Data Warehousing Market Size (US$ Bn) Forecast, by Region 12.3. Global Data Warehousing Market Attractiveness Analysis, by Region 13. North America Data Warehousing Market Analysis 13.1. Key Findings 13.2. North America Data Warehousing Market Overview 13.3. North America Data Warehousing Market Value Share Analysis, By Data Type 13.4. North America Data Warehousing Market Forecast, By Data Type 13.4.1. Structured 13.4.2. Unstructured 13.5. North America Data Warehousing Market Value Share Analysis, By Organization Type 13.6. North America Data Warehousing Market Forecast, By Organization Type 13.6.1. Large enterprises 13.6.2. SMEs 13.7. North America Data Warehousing Market Value Share Analysis, By Deployment Model 13.8. North America Data Warehousing Market Forecast, By Deployment Model 13.8.1. On-premise 13.8.2. Cloud 13.8.3. Hybrid 13.9. North America Data Warehousing Market Value Share Analysis, By Offering 13.10. North America Data Warehousing Market Forecast, By Offering 13.10.1. Statistical analysis 13.10.2. Data mining tools 13.10.3. Extract, Transform & Load (ETL) Solutions 13.10.4. Others 13.11. North America Data Warehousing Market Value Share Analysis, By Application 13.12. North America Data Warehousing Market Forecast, By Application 13.12.1. Retail 13.12.2. IT & Telecom 13.12.3. BFSI 13.12.4. Manufacturing 13.12.5. Healthcare 13.12.6. Government 13.12.7. Others 13.13. North America Data Warehousing Market Value Share Analysis, by Country 13.14. North America Data Warehousing Market Forecast, by Country 13.14.1. U.S. 13.14.2. Canada 13.15. North America Data Warehousing Market Analysis, by Country 13.16. U.S. Data Warehousing Market Forecast, By Data Type 13.16.1. Structured 13.16.2. Unstructured 13.17. U.S. Data Warehousing Market Forecast, By Organization Type 13.17.1. Large enterprises 13.17.2. SMEs 13.18. U.S. Data Warehousing Market Forecast, By Deployment Model 13.18.1. On-Premise 13.18.2. Cloud 13.18.3. Hybrid 13.19. U.S. Data Warehousing Market Forecast, By Offering 13.19.1. Statistical analysis 13.19.2. Data mining tools 13.19.3. Extract, Transform & Load (ETL) Solutions 13.19.4. Others 13.20. U.S. Data Warehousing Market Forecast, By Application 13.20.1. Retail 13.20.2. IT & Telecom 13.20.3. BFSI 13.20.4. Manufacturing 13.20.5. Healthcare 13.20.6. Government 13.20.7. Others 13.21. Canada Data Warehousing Market Forecast, By Data Type 13.21.1. Structured 13.21.2. Unstructured 13.22. Canada Data Warehousing Market Forecast, By Organization Type 13.22.1. Large enterprises 13.22.2. SMEs 13.23. Canada Data Warehousing Market Forecast, By Deployment Model 13.23.1. On-Premise 13.23.2. Cloud 13.23.3. Hybrid 13.24. Canada Data Warehousing Market Forecast, By Offering 13.24.1. Statistical analysis 13.24.2. Data mining tools 13.24.3. Extract, Transform & Load (ETL) Solutions 13.24.4. Others 13.25. Canada Data Warehousing Market Forecast, By Application 13.25.1. Retail 13.25.2. IT & Telecom 13.25.3. BFSI 13.25.4. Manufacturing 13.25.5. Healthcare 13.25.6. Government 13.25.7. Others 13.26. North America Data Warehousing Market Attractiveness Analysis 13.26.1. By Data Type 13.26.2. By Organization Type 13.26.3. By Deployment Model 13.26.4. By Offering 13.26.5. By Application 13.27. PEST Analysis 13.28. Key Trends 13.29. Key Developments 14. Europe Data Warehousing Market Analysis 14.1. Key Findings 14.2. Europe Data Warehousing Market Overview 14.3. Europe Data Warehousing Market Value Share Analysis, By Data Type 14.4. Europe Data Warehousing Market Forecast, By Data Type 14.4.1. Structured 14.4.2. Unstructured 14.5. Europe Data Warehousing Market Value Share Analysis, By Organization Type 14.6. Europe Data Warehousing Market Forecast, By Organization Type 14.6.1. Large enterprises 14.6.2. SMEs 14.7. Europe Data Warehousing Market Value Share Analysis, By Deployment Model 14.8. Europe Data Warehousing Market Forecast, By Deployment Model 14.8.1. On-Premise 14.8.2. Cloud 14.8.3. Hybrid 14.9. Europe Data Warehousing Market Value Share Analysis, By Offering 14.10. Europe Data Warehousing Market Forecast, By Offering 14.10.1. Statistical analysis 14.10.2. Data mining tools 14.10.3. Extract, Transform & Load (ETL) Solutions 14.10.4. Others 14.11. Europe Data Warehousing Market Value Share Analysis, By Application 14.12. Europe Data Warehousing Market Forecast, By Application 14.12.1. Retail 14.12.2. IT & Telecom 14.12.3. BFSI 14.12.4. Manufacturing 14.12.5. Healthcare 14.12.6. Government 14.12.7. Others 14.13. Europe Data Warehousing Market Value Share Analysis, by Country 14.14. Europe Data Warehousing Market Forecast, by Country 14.14.1. Germany 14.14.2. U.K. 14.14.3. France 14.14.4. Italy 14.14.5. Spain 14.14.6. Rest of Europe 14.15. Europe Data Warehousing Market Analysis, by Country 14.16. Germany Data Warehousing Market Forecast, By Data Type 14.16.1. Structured 14.16.2. Unstructured 14.17. Germany Data Warehousing Market Forecast, By Organization Type 14.17.1. Large enterprises 14.17.2. SMEs 14.18. Germany Data Warehousing Market Forecast, By Deployment Model 14.18.1. On-Premise 14.18.2. Cloud 14.18.3. Hybrid 14.19. Germany Data Warehousing Market Forecast, By Offering 14.19.1. Statistical analysis 14.19.2. Data mining tools 14.19.3. Extract, Transform & Load (ETL) Solutions 14.19.4. Others 14.20. Germany Data Warehousing Market Forecast, By Application 14.20.1. Retail 14.20.2. IT & Telecom 14.20.3. BFSI 14.20.4. Manufacturing 14.20.5. Healthcare 14.20.6. Government 14.20.7. Others 14.21. U.K. Data Warehousing Market Forecast, By Data Type 14.21.1. Structured 14.21.2. Unstructured 14.22. U.K. Data Warehousing Market Forecast, By Organization Type 14.22.1. Large enterprises 14.22.2. SMEs 14.23. U.K. Data Warehousing Market Forecast, By Deployment Model 14.23.1. On-Premise 14.23.2. Cloud 14.23.3. Hybrid 14.24. U.K. Data Warehousing Market Forecast, By Offering 14.24.1. Statistical analysis 14.24.2. Data mining tools 14.24.3. Extract, Transform & Load (ETL) Solutions 14.24.4. Others 14.25. U.K. Data Warehousing Market Forecast, By Application 14.25.1. Retail 14.25.2. IT & Telecom 14.25.3. BFSI 14.25.4. Manufacturing 14.25.5. Healthcare 14.25.6. Government 14.25.7. Others 14.26. France Data Warehousing Market Forecast, By Data Type 14.26.1. Structured 14.26.2. Unstructured 14.27. France Data Warehousing Market Forecast, By Organization Type 14.27.1. Large enterprises 14.27.2. SMEs 14.28. France Data Warehousing Market Forecast, By Deployment Model 14.28.1. On-Premise 14.28.2. Cloud 14.28.3. Hybrid 14.29. France Data Warehousing Market Forecast, By Offering 14.29.1. Statistical analysis 14.29.2. Data mining tools 14.29.3. Extract, Transform & Load (ETL) Solutions 14.29.4. Others 14.30. France Data Warehousing Market Forecast, By Application 14.30.1. Retail 14.30.2. IT & Telecom 14.30.3. BFSI 14.30.4. Manufacturing 14.30.5. Healthcare 14.30.6. Government 14.30.7. Others 14.31. Italy Data Warehousing Market Forecast, By Data Type 14.31.1. Structured 14.31.2. Unstructured 14.32. Italy Data Warehousing Market Forecast, By Organization Type 14.32.1. Large enterprises 14.32.2. SMEs 14.33. Italy Data Warehousing Market Forecast, By Deployment Model 14.33.1. On-Premise 14.33.2. Cloud 14.33.3. Hybrid 14.34. Italy Data Warehousing Market Forecast, By Offering 14.34.1. Statistical analysis 14.34.2. Data mining tools 14.34.3. Extract, Transform & Load (ETL) Solutions 14.34.4. Others 14.35. Italy Data Warehousing Market Forecast, By Application 14.35.1. Retail 14.35.2. IT & Telecom 14.35.3. BFSI 14.35.4. Manufacturing 14.35.5. Healthcare 14.35.6. Government 14.35.7. Others 14.36. Spain Data Warehousing Market Forecast, By Data Type 14.36.1. Structured 14.36.2. Unstructured 14.37. Spain Data Warehousing Market Forecast, By Organization Type 14.37.1. Large enterprises 14.37.2. SMEs 14.38. Spain Data Warehousing Market Forecast, By Deployment Model 14.38.1. On-Premise 14.38.2. Cloud 14.38.3. Hybrid 14.39. Spain Data Warehousing Market Forecast, By Offering 14.39.1. Statistical analysis 14.39.2. Data mining tools 14.39.3. Extract, Transform & Load (ETL) Solutions 14.39.4. Others 14.40. Spain Data Warehousing Market Forecast, By Application 14.40.1. Retail 14.40.2. IT & Telecom 14.40.3. BFSI 14.40.4. Manufacturing 14.40.5. Healthcare 14.40.6. Government 14.40.7. Others 14.41. Rest of Europe Data Warehousing Market Forecast, By Data Type 14.41.1. Structured 14.41.2. Unstructured 14.42. Rest of Europe Data Warehousing Market Forecast, By Organization Type 14.42.1. Large enterprises 14.42.2. SMEs 14.43. Rest of Europe Data Warehousing Market Forecast, By Deployment Model 14.43.1. On-Premise 14.43.2. Cloud 14.43.3. Hybrid 14.44. Rest Of Europe Data Warehousing Market Forecast, By Offering 14.44.1. Statistical analysis 14.44.2. Data mining tools 14.44.3. Extract, Transform & Load (ETL) Solutions 14.44.4. Others 14.45. Rest Of Europe Data Warehousing Market Forecast, By Application 14.45.1. Retail 14.45.2. IT & Telecom 14.45.3. BFSI 14.45.4. Manufacturing 14.45.5. Healthcare 14.45.6. Government 14.45.7. Others 14.46. Europe Data Warehousing Market Attractiveness Analysis 14.46.1. By Data Type 14.46.2. By Organization Type 14.46.3. By Deployment Model 14.46.4. By Offering 14.46.5. By Application 14.47. PEST Analysis 14.48. Key Trends 14.49. Key Developments 15. Asia Pacific Data Warehousing Market Analysis 15.1. Key Findings 15.2. Asia Pacific Data Warehousing Market Overview 15.3. Asia Pacific Data Warehousing Market Value Share Analysis, By Data Type 15.4. Asia Pacific Data Warehousing Market Forecast, By Data Type 15.4.1. Structured 15.4.2. Unstructured 15.5. Asia Pacific Data Warehousing Market Value Share Analysis, By Organization Type 15.6. Asia Pacific Data Warehousing Market Forecast, By Organization Type 15.6.1. Large enterprises 15.6.2. SMEs 15.7. Asia Pacific Data Warehousing Market Value Share Analysis, By Deployment Model 15.8. Asia Pacific Data Warehousing Market Forecast, By Deployment Model 15.8.1. On-Premise 15.8.2. Cloud 15.8.3. Hybrid 15.9. Asia Pacific Data Warehousing Market Value Share Analysis, By Offering 15.10. Asia Pacific Data Warehousing Market Forecast, By Offering 15.10.1. Statistical analysis 15.10.2. Data mining tools 15.10.3. Extract, Transform & Load (ETL) Solutions 15.10.4. Others 15.11. Asia Pacific Data Warehousing Market Value Share Analysis, By Application 15.12. Asia Pacific Data Warehousing Market Forecast, By Application 15.12.1. Retail 15.12.2. IT & Telecom 15.12.3. BFSI 15.12.4. Manufacturing 15.12.5. Healthcare 15.12.6. Government 15.12.7. Others 15.13. Asia Pacific Data Warehousing Market Value Share Analysis, by Country 15.14. Asia Pacific Data Warehousing Market Forecast, by Country 15.14.1. China 15.14.2. India 15.14.3. Japan 15.14.4. ASEAN 15.14.5. Rest of Asia Pacific 15.15. Asia Pacific Data Warehousing Market Analysis, by Country 15.16. China Data Warehousing Market Forecast, By Data Type 15.16.1. Structured 15.16.2. Unstructured 15.17. China Data Warehousing Market Forecast, By Organization Type 15.17.1. Large enterprises 15.17.2. SMEs 15.18. China Data Warehousing Market Forecast, By Deployment Model 15.18.1. On-Premise 15.18.2. Cloud 15.18.3. Hybrid 15.19. China Data Warehousing Market Forecast, By Offering 15.19.1. Statistical analysis 15.19.2. D

About This Report

Report ID 52612
Category Information Technology & Telecommunication
Published Date Feb 2020
Updated Date
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