Allied Market Research
Loading...
0
2021
Data Warehousing Market

Data Warehousing Market by Type of Offering (ETL Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured and Semi-Structured & Structured), Deployment Model (On-Premise, Cloud, and Hybrid), Enterprise Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (BFSI, IT & telecom, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2021–2028

A04858
Pages: 338
May 2021 | 18295 Views
   
Author(s) : Pramod Borasi, Shadaab Khan , Vineet Kumar
Tables: 168
Charts: 87
  • Formats*:

  • SIngle User License, Five User
    License & Enterprise User License

  • Data Pack Excel License

  • IComes with the additional cost
    of $2500.00 contact sales.

 

COVID-19

Pandemic disrupted the entire world and affected many industries.

Get detailed COVID-19 impact analysis on the Data Warehousing Market

Request Now !

Data Warehousing Market Insights - 2028

The global data warehousing market size was valued at $21.18 billion in 2019, and is projected to reach $51.18 billion by 2028, growing at a CAGR of 10.7% from 2020 to 2028. Data warehousing is a technique of constructing a data warehouse in which data from various heterogeneous data sources are stored. In addition to this, various businesses are using data warehouse to enhance their data quality and improve their decision making capability. Furthermore, data stored in the data warehouse helps organizations to deliver enhanced business intelligence solutions to the end users and provide a competitive advantage in the market. 

With disrupting effects of COVID-19 on various sectors, many data warehousing service providers are adopting several business and marketing strategies, such as innovating their product portfolio with customized offerings. For instance, in February 2021, Google LLC introduced new speed-increasing capabilities for its BigQuery cloud data warehouse which improves enterprises analytics workflows capability by 5 times than previous capabilities.

Increase in need for dedicated storage system for surge in volume of data, rise in demand for column-oriented data warehouse solutions to perform advanced analytics, the need for low-latency, real-time view, and analytics on operational data are some of the major factors that drive the global data warehousing market growth. In addition, increase in awareness of enterprises to utilize growth in streams of data from various sources in innovative ways and adoption of modern business intelligence tools by enterprises for which data warehousing is critical, are expected to fuel the growth of the market. Conversely, emerging trend of adopting virtual data warehousing and surge in application of AI in data warehousing are expected to provide lucrative opportunities for the growth of the global market.

Data-Warehousing--Market

Get more information on this report : Request Sample Pages

By type of offering, the global data warehousing market is led by the ETL solutions segment in 2019, and is projected to maintain its dominance during the forecast period. This is attributed to increase in need for complex data management, operational resilience, advanced data profiling, and cleansing are the key factors expected to drive the market growth in the near future. However, the data mining segment is expected to grow at the highest rate during the forecast period, owing to rise in need of data mining solution among the organizations for searching different patterns of data for increasing the sales and profit of the organization.

By region, the data warehousing market was dominated by North America in 2019, and is expected to retain its position during the forecast period. The key factors that drive the North America market include growth in demand for automated analytics for customer behavior analytics, fraud & risk identification, and improved decision making for productivity as well as improvisation of businesses. However, Asia-Pacific is expected to witness significant growth rate during the forecast period, owing to surge in data storage, and analytics requirements of enterprises in various industry vertical such as BFSI, IT & telecom, government, and others. 

The report focuses on the growth prospects, restraints, and trends of the global data warehousing industry. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the global data warehousing market.

Data Warehousing Market
By Offering Type

Your browser does not support the canvas element.

ETL solutions is projected as one of the most lucrative segments.

Get more information on this report : Request Sample Pages

Segment review

The data warehousing market is segmented on the basis of type of offering, type of data, deployment, enterprise size, industry vertical, and region. In terms of type of offering, it is classified into ETL solutions, statistical analysis, data mining, and others. By type of data, it is bifurcated into unstructured data and semi structured & structured data. By deployment model, it is fragmented into on-premise, cloud data warehousing, and hybrid. By enterprise size, it is segregated into large enterprises and small and medium enterprises (SMEs). By industry vertical segment, it is divided into BFSI, IT & telecom, government, manufacturing, retail, healthcare, media & entertainment, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the data warehousing market analysis include Actian Corporation, Amazon.com. Inc., Cloudera, Inc., Google Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP, Snowflake, Inc., and Teradata Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the data warehousing industry. 

Data Warehousing Market
By Data Type

Your browser does not support the canvas element.

Semi-structured & Structured Data is projected as one of the most lucrative segments.

Get more information on this report : Request Sample Pages

Impact of COVID-19 Pandemic on Data Warehousing Market:

The data warehousing market has witnessed significant growth in the past few years; however, due to the outbreak of the COVID-19 pandemic, the market witnessed a sudden downfall in 2020. This is attributed to implementation of lockdown by governments in majority of the countries and the shutdown of travel across the world to prevent the transmission of virus. The data warehousing market is projected to prosper in the upcoming years after the recovery from the COVID-19 pandemic. Various organizations across the globe have initiated work-from-home culture for their employees, which is creating demand for the cloud-based data warehousing software to manage and analyze critical information of organizations, thus, creating lucrative growth opportunities for the market.

Data Warehousing Market
By Deployment Mode

Your browser does not support the canvas element.

On-Premise is projected as one of the most lucrative segments.

Get more information on this report : Request Sample Pages

Top impacting factors

Emerging trend of adopting virtual data warehousing

A virtual data warehouse offers a condensed outlook of the data inventory that comprises meta data. It utilizes middleware to form connections to different data sources. It can be fast as it lets users to filter the most important parts of data from various legacy applications. The metadata is used for establishing logical enterprise data model and it is contained in virtual data warehousing. Furthermore, virtual data warehousing approach entails less time and expenditure to develop, and involves less risk of data loss. It is schema-less model and independent on the IT strategy. It can easily accommodate the changes, if made in the business. As the requirements change, modifying the models and redeveloping the views from the virtual mart or store can be done in very less time after adopting virtual data warehousing. In addition, data virtualization reduces both times to solution and ongoing operating costs, as much as four-fold, by avoiding physical data replication with its associated storage and support requirements.

Data Warehousing Market
By organization size

Your browser does not support the canvas element.

Large Enterprises is projected as one of the most lucrative segments.

Get more information on this report : Request Sample Pages

Furthermore, the data lake is expected to become increasingly popular, with the increase in the amount of unstructured data. Data Lake is a newer technology that stores both structured and unstructured data in its original form, and processes it later on-demand. However, the databases and data warehouses are anticipated to hold essential place always.

Data Warehousing Market
By Industry Vertical

Your browser does not support the canvas element.

BFSI is projected as one of the most lucrative segments.

Get more information on this report : Request Sample Pages

Surge in Application of AI in Data Warehouse

Artificial Intelligence (AI) and Machine Learning (ML) technologies are disrupting the data warehousing solutions. The use of AI and ML facilitates a smart data warehouse that automatically optimizes and transforms data to user requirements, using machine learning. Enterprises are applying these technologies to ultimately achieve the ability to convert data into value iteratively and continuously, which is estimated to distinguish it from its competitors and make it agile and innovative. It also helps in the automatic extraction of hidden predictive information from large databases and enables automated knowledge discovery, prediction, and forensic analysis through machine learning. Thus, the application of these technologies for data warehousing solutions is expected to offer great opportunities for the growth of the market during the forecast period.

Data Warehousing Market
By Region

2028
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific would exhibit the highest CAGR of 12.5% during 2021-2028.

Get more information on this report : Request Sample Pages

Key Benefits For Stakeholders 

  • The study provides an in-depth analysis of the global data warehousing market forecast along with the current & future trends to elucidate the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on the global data warehousing market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the data warehousing market share from 2021 to 2028 is provided to determine the market potential.

Key Market Segments

  • By Organization Size
    • SMEs
    • Large Enterprises
  • By Deployment Mode
    • On-Premise
    • Cloud
    • Hybrid
  • By Industry Vertical
    • BFSI
    • IT & Telecom
    • Government
    • Manufacturing
    • Retail
    • Healthcare
    • Media & Entertainment
    • Others
  • By Region
    • North America
      • U.S.
      • Canada
    • Europe
      • UK
      • Germany
      • France
      • Italy
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Australia
      • Rest of Asia-Pacific
    • LAMEA
      • Latin America
      • Middle East
      • Africa
  • By Data Type
    • Unstructured Data
    • Semi-Structured & Structured Data
  • By Offering Type
    • ETL Solutions
    • Statistical Analysis
    • Data Mining
    • Others


Key Market Players

  • Actian Corporation
  • Amazon.com, Inc.
  • Cloudera, Inc.
  • GOOGLE LLC
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • MICROSOFT CORPORATION
  • ORACLE CORPORATION
  • SAP SE
  • Snowflake Inc.
  • TERADATA CORPORATION
 

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key benefits for stakeholders
1.3.Key market segments
1.4.Research methodology

1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.Key findings

2.1.1.Top impacting factors
2.1.2.Top investment pockets

2.2.CXO perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key forces shaping the global data warehousing market
3.4.Market dynamics

3.4.1.Drivers

3.4.1.1.Emerging trend of adopting virtual data warehousing
3.4.1.2.The need for low-latency, real-time view and analytics on operational data
3.4.1.3.Rise in demand for column-oriented data warehouse solutions to perform advanced analytics

3.4.2.Restraints

3.4.2.1.Complexity
3.4.2.2.High implementation cost

3.4.3.Opportunity

3.4.3.1.Emerging trend of adopting virtual data warehousing
3.4.3.2.Growing Application of AI in Data Warehouse

3.5.COVID-19 impact analysis on the Data Warehousing market

3.5.1.Impact on market size
3.5.2.Consumer trends, preferences, and budget impact
3.5.3.Economic impact
3.5.4.Strategies to tackle negative impact
3.5.5.Opportunity window

CHAPTER 4:DATA WAREHOUSING MARKET, BY OFFERING TYPE

4.1.Overview
4.2.ETL solutions

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.Statistical Analysis

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

4.4.Data Mining

4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country

4.5.Others

4.5.1.Key market trends, growth factors, and opportunities
4.5.2.Market size and forecast, by region
4.5.3.Market analysis, by country

CHAPTER 5:DATA WAREHOUSING MARKET, BY DATA TYPE

5.1.Overview
5.2.Unstructured Data

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.Semi-structured & Structured Data

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

CHAPTER 6:DATA WAREHOUSING MARKET, BY  DEPLOYMENT MODE

6.1.Overview
6.2.On-Premise

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.Cloud

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

6.4.Hybrid

6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market analysis, by country

CHAPTER 7:DATA WAREHOUSING MARKET, BY  ORGANIZATION SIZE

7.1.Overview
7.2.SMEs

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country

7.3.Large Enterprises

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country

CHAPTER 8:DATA WAREHOUSING MARKET, BY  INDUSTRY VERTICAL

8.1.Overview
8.2.BFSI

8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by region
8.2.3.Market analysis, by country

8.3.IT  & Telecom

8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by region
8.3.3.Market analysis, by country

8.4.Government

8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by region
8.4.3.Market analysis, by country

8.5.Manufacturing

8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by region
8.5.3.Market analysis, by country

8.6.Retail

8.6.1.Key market trends, growth factors, and opportunities
8.6.2.Market size and forecast, by region
8.6.3.Market analysis, by country

8.7.Healthcare

8.7.1.Key market trends, growth factors, and opportunities
8.7.2.Market size and forecast, by region
8.7.3.Market analysis, by country

8.8.Media & Entertainment

8.8.1.Key market trends, growth factors, and opportunities
8.8.2.Market size and forecast, by region
8.8.3.Market analysis, by country

8.9.Others

8.9.1.Key market trends, growth factors, and opportunities
8.9.2.Market size and forecast, by region
8.9.3.Market analysis, by country

CHAPTER 9:DATA WAREHOUSING MARKET BY REGION

9.1.Overview
9.2.North America

9.2.1.Key market trends, growth factors and opportunities
9.2.2.Market size and forecast, by offering type
9.2.3.Market size and forecast, by data type
9.2.4.Market size and forecast, by deployment mode
9.2.5.Market size and forecast, by organization size
9.2.6.Market size and forecast, by  industry vertical
9.2.7.Market size and forecast, by  country

9.2.7.1.U.S.

9.2.7.1.1.Market size and forecast, by offering type
9.2.7.1.2.Market size and forecast, by data type
9.2.7.1.3.Market size and forecast, by deployment mode
9.2.7.1.4.Market size and forecast, by organization size
9.2.7.1.5.Market size and forecast, by industry vertical

9.2.7.2.Canada

9.2.7.2.1.Market size and forecast, by offering type
9.2.7.2.2.Market size and forecast, by data type
9.2.7.2.3.Market size and forecast, by deployment mode
9.2.7.2.4.Market size and forecast, by organization size
9.2.7.2.5.Market size and forecast, by industry vertical

9.3.Europe

9.3.1.Key market trends, growth factors and opportunities
9.3.2.Market size and forecast, by offering type
9.3.3.Market size and forecast, by data type
9.3.4.Market size and forecast, by deployment mode
9.3.5.Market size and forecast, by organization size
9.3.6.Market size and forecast, by  industry vertical
9.3.7.Market size and forecast, by  country

9.3.7.1.UK

9.3.7.1.1.Market size and forecast, by offering type
9.3.7.1.2.Market size and forecast, by data type
9.3.7.1.3.Market size and forecast, by deployment mode
9.3.7.1.4.Market size and forecast, by organization size
9.3.7.1.5.Market size and forecast, by industry vertical

9.3.7.2.GERMANY

9.3.7.2.1.Market size and forecast, by offering type
9.3.7.2.2.Market size and forecast, by data type
9.3.7.2.3.Market size and forecast, by deployment mode
9.3.7.2.4.Market size and forecast, by organization size
9.3.7.2.5.Market size and forecast, by industry vertical

9.3.7.3.FRANCE

9.3.7.3.1.Market size and forecast, by offering type
9.3.7.3.2.Market size and forecast, by data type
9.3.7.3.3.Market size and forecast, by deployment mode
9.3.7.3.4.Market size and forecast, by organization size
9.3.7.3.5.Market size and forecast, by industry vertical

9.3.7.4.ITALY

9.3.7.4.1.Market size and forecast, by offering type
9.3.7.4.2.Market size and forecast, by data type
9.3.7.4.3.Market size and forecast, by deployment mode
9.3.7.4.4.Market size and forecast, by organization size
9.3.7.4.5.Market size and forecast, by industry vertical

9.3.7.5.REST OF EUROPE

9.3.7.5.1.Market size and forecast, by offering type
9.3.7.5.2.Market size and forecast, by data type
9.3.7.5.3.Market size and forecast, by deployment mode
9.3.7.5.4.Market size and forecast, by organization size
9.3.7.5.5.Market size and forecast, by industry vertical

9.4.Asia-Pacific

9.4.1.Key market trends, growth factors and opportunities
9.4.2.Market size and forecast, by offering type
9.4.3.Market size and forecast, by data type
9.4.4.Market size and forecast, by deployment mode
9.4.5.Market size and forecast, by organization size
9.4.6.Market size and forecast, by  industry vertical
9.4.7.Market size and forecast, by  country

9.4.7.1.CHINA

9.4.7.1.1.Market size and forecast, by offering type
9.4.7.1.2.Market size and forecast, by data type
9.4.7.1.3.Market size and forecast, by deployment mode
9.4.7.1.4.Market size and forecast, by organization size
9.4.7.1.5.Market size and forecast, by industry vertical

9.4.7.2.JAPAN

9.4.7.2.1.Market size and forecast, by offering type
9.4.7.2.2.Market size and forecast, by data type
9.4.7.2.3.Market size and forecast, by deployment mode
9.4.7.2.4.Market size and forecast, by organization size
9.4.7.2.5.Market size and forecast, by industry vertical

9.4.7.3.INDIA

9.4.7.3.1.Market size and forecast, by offering type
9.4.7.3.2.Market size and forecast, by data type
9.4.7.3.3.Market size and forecast, by deployment mode
9.4.7.3.4.Market size and forecast, by organization size
9.4.7.3.5.Market size and forecast, by industry vertical

9.4.7.4.SOUTH KOREA

9.4.7.4.1.Market size and forecast, by offering type
9.4.7.4.2.Market size and forecast, by data type
9.4.7.4.3.Market size and forecast, by deployment mode
9.4.7.4.4.Market size and forecast, by organization size
9.4.7.4.5.Market size and forecast, by industry vertical

9.4.7.5.AUSTRALIA

9.4.7.5.1.Market size and forecast, by offering type
9.4.7.5.2.Market size and forecast, by data type
9.4.7.5.3.Market size and forecast, by deployment mode
9.4.7.5.4.Market size and forecast, by organization size
9.4.7.5.5.Market size and forecast, by industry vertical

9.4.7.6.REST OF ASIA-PACIFIC

9.4.7.6.1.Market size and forecast, by offering type
9.4.7.6.2.Market size and forecast, by data type
9.4.7.6.3.Market size and forecast, by deployment mode
9.4.7.6.4.Market size and forecast, by organization size
9.4.7.6.5.Market size and forecast, by industry vertical

9.5.LAMEA

9.5.1.Key market trends, growth factors and opportunities
9.5.2.Market size and forecast, by offering type
9.5.3.Market size and forecast, by data type
9.5.4.Market size and forecast, by deployment mode
9.5.5.Market size and forecast, by organization size
9.5.6.Market size and forecast, by  industry vertical
9.5.7.Market size and forecast, by  country

9.5.7.1.LATIN AMERICA

9.5.7.1.1.Market size and forecast, by offering type
9.5.7.1.2.Market size and forecast, by data type
9.5.7.1.3.Market size and forecast, by deployment mode
9.5.7.1.4.Market size and forecast, by organization size
9.5.7.1.5.Market size and forecast, by industry vertical

9.5.7.2.Middle East

9.5.7.2.1.Market size and forecast, by offering type
9.5.7.2.2.Market size and forecast, by data type
9.5.7.2.3.Market size and forecast, by deployment mode
9.5.7.2.4.Market size and forecast, by organization size
9.5.7.2.5.Market size and forecast, by industry vertical

9.5.7.3.AFRICA

9.5.7.3.1.Market size and forecast, by offering type
9.5.7.3.2.Market size and forecast, by data type
9.5.7.3.3.Market size and forecast, by deployment mode
9.5.7.3.4.Market size and forecast, by organization size
9.5.7.3.5.Market size and forecast, by industry vertical

CHAPTER 10:COMPETITIVE LANDSCAPE

10.1.Key players positioning analysis, 2019
10.2.Competitive dashboard
10.3.Top winning strategies

CHAPTER 11:COMPANY PROFILES

11.1.Actian Corporation

11.1.1.Company overview
11.1.2.Key Executives
11.1.3.Company snapshot
11.1.4.Product portfolio
11.1.5.Key strategic moves and developments

11.2.Amazon.com, Inc.

11.2.1.Company overview
11.2.2.Key Executives
11.2.3.Company snapshot
11.2.4.Product portfolio
11.2.5.Business performance

11.3.Cloudera, Inc.

11.3.1.Company overview
11.3.2.Key Executives
11.3.3.Company snapshot
11.3.4.Operating business segments
11.3.5.Product portfolio
11.3.6.R&D Expenditure
11.3.7.Business performance
11.3.8.Key strategic moves and developments

11.4.GOOGLE LLC

11.4.1.Company overview
11.4.2.Key Executives
11.4.3.Company snapshot
11.4.4.Product portfolio
11.4.5.R&D Expenditure
11.4.6.Business performance
11.4.7.Key strategic moves and developments

11.5.INTERNATIONAL BUSINESS MACHINES CORPORATION

11.5.1.Company overview
11.5.2.Key Executives
11.5.3.Company snapshot
11.5.4.Operating business segments
11.5.5.Product portfolio
11.5.6.R&D Expenditure
11.5.7.Business performance
11.5.8.Key strategic moves and developments

11.6.MICROSOFT CORPORATION

11.6.1.Company overview
11.6.2.Key executives
11.6.3.Company snapshot
11.6.4.Operating business segments
11.6.5.Product portfolio
11.6.6.R&D expenditure
11.6.7.Business performance
11.6.8.Key strategic moves and developments

11.7.ORACLE CORPORATION

11.7.1.Company overview
11.7.2.Key Executives
11.7.3.Company snapshot
11.7.4.Operating business segments
11.7.5.Product portfolio
11.7.6.R&D Expenditure
11.7.7.Business performance
11.7.8.Key strategic moves and developments

11.8.SAP SE

11.8.1.Company overview
11.8.2.Key Executives
11.8.3.Company snapshot
11.8.4.Operating business segments
11.8.5.Product portfolio
11.8.6.R&D Expenditure
11.8.7.Business performance
11.8.8.Key strategic moves and developments

11.9.Snowflake Inc.

11.9.1.Company overview
11.9.2.Key Executives
11.9.3.Company snapshot
11.9.4.Product portfolio
11.9.5.R&D Expenditure
11.9.6.Business performance
11.9.7.Key strategic moves and developments

11.10.TERADATA CORPORATION

11.10.1.Company overview
11.10.2.Key Executives
11.10.3.Company snapshot
11.10.4.Product portfolio
11.10.5.R&D Expenditure
11.10.6.Business performance

LIST OF TABLES

TABLE 01.DATA WAREHOUSING MARKET REVENUE, BY OFFERING TYPE, 2019–2028 ($MILLION)
TABLE 02.DATA WAREHOUSING MARKET REVENUE FOR ETL SOLUTIONS, BY REGION, 2019–2028 ($MILLION)
TABLE 03.DATA WAREHOUSING MARKET REVENUE FOR STATISTICAL ANALYSIS, BY REGION, 2019–2028 ($MILLION)
TABLE 04.DATA WAREHOUSING MARKET REVENUE FOR DATA MINING, BY REGION, 2019–2028 ($MILLION)
TABLE 05.DATA WAREHOUSING MARKET REVENUE FOR  OTHERS, BY REGION, 2019–2028 ($MILLION)
TABLE 06.DATA WAREHOUSING MARKET REVENUE, BY DATA TYPE, 2019–2028 ($MILLION)
TABLE 07.DATA WAREHOUSING MARKET REVENUE FOR UNSTRUCTURED DATA, BY REGION, 2019–2028 ($MILLION)
TABLE 08.DATA WAREHOUSING MARKET REVENUE FOR SEMI-STRUCTURED & STRUCTURED DATA, BY REGION, 2019–2028 ($MILLION)
TABLE 09.DATA WAREHOUSING MARKET REVENUE, BY DEPLOYMENT MODE, 2019–2028 ($MILLION)
TABLE 10.DATA WAREHOUSING MARKET REVENUE FOR ON-PREMISE, BY REGION, 2019–2028 ($MILLION)
TABLE 11.DATA WAREHOUSING MARKET REVENUE FOR CLOUD, BY REGION, 2019–2028 ($MILLION)
TABLE 12.DATA WAREHOUSING MARKET REVENUE FOR HYBRID, BY REGION, 2019–2028 ($MILLION)
TABLE 13.DATA WAREHOUSING MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2028 ($MILLION)
TABLE 14.DATA WAREHOUSING MARKET REVENUE FOR SMES, BY REGION, 2019–2028 ($MILLION)
TABLE 15.DATA WAREHOUSING MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2019–2028 ($MILLION)
TABLE 16.DATA WAREHOUSING MARKET REVENUE, BY INDUSTRY VERTICAL, 2019–2028 ($MILLION)
TABLE 17.DATA WAREHOUSING MARKET REVENUE FOR BFSI, BY REGION, 2019–2028 ($MILLION)
TABLE 18.DATA WAREHOUSING MARKET REVENUE FOR IT & TELECOM, BY REGION, 2019–2028 ($MILLION)
TABLE 19.DATA WAREHOUSING MARKET REVENUE FOR GOVERNMENT, BY REGION, 2019–2028 ($MILLION)
TABLE 20.DATA WAREHOUSING MARKET REVENUE FOR MANUFACTURING, BY REGION, 2019–2028 ($MILLION)
TABLE 21.DATA WAREHOUSING MARKET REVENUE FOR RETAIL, BY REGION, 2019–2028 ($MILLION)
TABLE 22.DATA WAREHOUSING MARKET REVENUE FOR HEALTHCARE, BY REGION, 2019–2028 ($MILLION)
TABLE 23.DATA WAREHOUSING MARKET REVENUE FOR MEDIA & ENTERTAINMENT, BY REGION, 2019–2028 ($MILLION)
TABLE 24.DATA WAREHOUSING MARKET REVENUE FOR OTHERS, BY REGION, 2019–2028 ($MILLION)
TABLE 25.GLOBAL DATA WAREHOUSING MARKET REVENUE, BY REGION, 2019–2028 ($MILLION)
TABLE 26.NORTH AMERICA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 27.NORTH AMERICA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 28.NORTH AMERICA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 29.NORTH AMERICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 30.NORTH AMERICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 31.NORTH AMERICA DATA WAREHOUSING MARKET, BY COUNTRY, 2019-2028($MILLION)
TABLE 32.U.S. DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 33.U.S. DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 34.U.S. DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 35.U.S. DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 36.U.S. DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 37.CANADA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 38.CANADA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 39.CANADA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 40.CANADA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 41.CANADA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 42.EUROPE DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 43.EUROPE DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 44.EUROPE DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 45.EUROPE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 46.EUROPE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 47.EUROPE DATA WAREHOUSING MARKET, BY COUNTRY, 2019-2028($MILLION)
TABLE 48.UK DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 49.UK DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 50.UK DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 51.UK DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 52.UK DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 53.GERMANY DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 54.GERMANY DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 55.GERMANY DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 56.GERMANY DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 57.GERMANY DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 58.FRANCE DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 59.FRANCE DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 60.FRANCE DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 61.FRANCE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 62.FRANCE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 63.ITALY DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 64.ITALY DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 65.ITALY DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 66.ITALY DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 67.ITALY DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 68.REST OF EUROPE DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 69.REST OF EUROPE DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 70.REST OF EUROPE DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 71.REST OF EUROPE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 72.REST OF EUROPE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 73.ASIA-PACIFIC DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 74.ASIA-PACIFIC DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 75.ASIA-PACIFIC DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 76.ASIA-PACIFIC DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 77.ASIA-PACIFIC DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 78.ASIA-PACIFIC DATA WAREHOUSING MARKET, BY COUNTRY, 2019-2028($MILLION)
TABLE 79.CHINA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 80.CHINA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 81.CHINA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 82.CHINA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 83.CHINA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 84.JAPAN DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 85.JAPAN DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 86.JAPAN DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 87.JAPAN DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 88.JAPAN DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 89.INDIA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 90.INDIA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 91.INDIA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 92.INDIA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 93.INDIA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 94.SOUTH KOREA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 95.SOUTH KOREA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 96.SOUTH KOREA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 97.SOUTH KOREA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 98.SOUTH KOREA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 99.AUSTRALIA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 100.AUSTRALIA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 101.AUSTRALIA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 102.AUSTRALIA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 103.AUSTRALIA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 104.REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 105.REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 106.REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 107.REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 108.REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 109.LAMEA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 110.LAMEA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 111.LAMEA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 112.LAMEA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 113.LAMEA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 114.LAMEA DATA WAREHOUSING MARKET, BY COUNTRY, 2019-2028($MILLION)
TABLE 115.LATIN AMERICA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 116.LATIN AMERICA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 117.LATIN AMERICA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 118.LATIN AMERICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 119.LATIN AMERICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 120.MIDDLE EAST DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 121.MIDDLE EAST DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 122.MIDDLE EAST DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 123.MIDDLE EAST DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 124.MIDDLE EAST DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 125.AFRICA DATA WAREHOUSING MARKET, BY OFFERING TYPE, 2019-2028($MILLION)
TABLE 126.AFRICA DATA WAREHOUSING MARKET, BY DATA TYPE, 2019-2028($MILLION)
TABLE 127.AFRICA DATA WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2019-2028($MILLION)
TABLE 128.AFRICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2019-2028($MILLION)
TABLE 129.AFRICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICAL, 2019-2028($MILLION)
TABLE 130.ACTIAN CORPORATION: KEY EXECUTIVES
TABLE 131.ACTIAN CORPORATION: COMPANY SNAPSHOT
TABLE 132.ACTIAN CORPORATION: PRODUCT PORTFOLIO
TABLE 133.ACTIAN CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 134.AMAZON.COM, INC.: KEY EXECUTIVES
TABLE 135.AMAZON.COM, INC.: COMPANY SNAPSHOT
TABLE 136.AMAZON.COM, INC.: PRODUCT PORTFOLIO
TABLE 137.CLOUDERA, INC.: KEY EXECUTIVES
TABLE 138.CLOUDERA, INC.: COMPANY SNAPSHOT
TABLE 139.CLOUDERA, INC.: OPERATING SEGMENTS
TABLE 140.CLOUDERA, INC.: PRODUCT PORTFOLIO
TABLE 141.CLOUDERA, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 142.GOOGLE LLC: KEY EXECUTIVES
TABLE 143.GOOGLE LLC: COMPANY SNAPSHOT
TABLE 144.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 145.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 146.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 147.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 148.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 149.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 150.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 151.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 152.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 153.ORACLE CORPORATION: KEY EXECUTIVES
TABLE 154.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 155.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 156.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 157.ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 158.SAP SE : KEY EXECUTIVES
TABLE 159.SAP SE: COMPANY SNAPSHOT
TABLE 160.SAP SE: OPERATING SEGMENTS
TABLE 161.SAP SE: PRODUCT PORTFOLIO
TABLE 162.SNOWFLAKE INC.: KEY EXECUTIVES
TABLE 163.SNOWFLAKE INC.: COMPANY SNAPSHOT
TABLE 164.SNOWFLAKE INC.: PRODUCT PORTFOLIO
TABLE 165.SNOWFLAKE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 166.TERADATA CORPORATION: KEY EXECUTIVES
TABLE 167.TERADATA CORPORATION: COMPANY SNAPSHOT
TABLE 168.TERADATA CORPORATION: OPERATING BUSINESS SEGMENTS

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.GLOBAL DATA WAREHOUSING MARKET, 2019–2028
FIGURE 03.GLOBAL DATA WAREHOUSING MARKET, BY REGION, 2019–2029
FIGURE 04.DATA WAREHOUSING MARKET: TOP IMPACTING FACTOR
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.LOW -TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 07.MODERATE-TO-HIGH BARGAINING POWER OF BUYER
FIGURE 08.MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 09.LOW TO  MODERATE THREAT OF NEW ENTRANTS
FIGURE 10.LOW-TO-HIGH COMPETITIVE RIVALRY
FIGURE 11.GLOBAL DATA WAREHOUSING MARKET REVENUE, BY OFFERING TYPE, 2019–2028 ($MILLION)
FIGURE 12.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR ETL SOLUTION, BY COUNTRY,  2019 & 2028 (%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR STATISTICAL ANALYSIS, BY COUNTRY,  2019 & 2028 (%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR DATA MINING, BY COUNTRY, 2019 & 2028 (%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR OTHERS, BY COUNTRY, 2019 & 2028 (%)
FIGURE 16.GLOBAL DATA WAREHOUSING MARKET REVENUE, BY DATA TYPE, 2019–2028 ($MILLION)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR UNSTRUCTURED DATA, BY COUNTRY,  2019 & 2028 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR SEMI-STRUCTURED & STRUCTURED DATA, BY COUNTRY,  2019 & 2028 (%)
FIGURE 19.GLOBAL DATA WAREHOUSING MARKET REVENUE, BY DEPLOYMENT MODE, 2019–2028 ($MILLION)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR ON-PREMISE, BY COUNTRY,  2019 & 2028 (%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR CLOUD, BY COUNTRY,  2019 & 2028 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR HYBRID, BY COUNTRY,  2019 & 2028 (%)
FIGURE 23.DATA WAREHOUSING MARKET REVENUE, BY ORGANIZATION SIZE , 2019–2028 ($MILLION)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR SMES, BY COUNTRY,  2019 & 2028 (%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR LARGE ENTERPRISES, BY COUNTRY,  2019 & 2028 (%)
FIGURE 26.DATA WAREHOUSING MARKET REVENUE, BY INDUSTRY VERTICAL, 2019–2028 ($MILLION)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR BFSI, BY COUNTRY,  2019 & 2028 (%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR IT & TELECOM, BY COUNTRY,  2019 & 2028 (%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR GOVERNMENT, BY COUNTRY,  2019 & 2028 (%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR MANUFACTURING, BY COUNTRY,  2019 & 2028 (%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR RETAIL, BY COUNTRY,  2019 & 2028 (%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR HEALTHCARE, BY COUNTRY,  2019 & 2028 (%)
FIGURE 33.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR MEDIA & ENTERTAINMENT, BY COUNTRY,  2019 & 2028 (%)
FIGURE 34.COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR OTHERS, BY COUNTRY,  2019 & 2028 (%)
FIGURE 35.U.S. DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 36.CANADA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 37.UK DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 38.GERMANY DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 39.FRANCE DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 40.ITALY DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 41.REST OF EUROPE DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 42.CHINA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 43.JAPAN DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 44.INDIA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 45.SOUTH KOREA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 46.AUSTRALIA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 47.REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 48.LATIN AMERICA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 49.MIDDLE EAST DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 50.AFRICA DATA WAREHOUSING MARKET REVENUE, 2019-2028 ($MILLION)
FIGURE 51.KEY PLAYER POSITIONING ANLYSIS: GLOBAL DATA WAREHOUSING MARKET
FIGURE 52.COMPETITIVE DASHBOARD
FIGURE 53.COMPETITIVE DASHBOARD
FIGURE 54.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 55.TOP WINNING STRATEGIES, BY YEAR, 2019-2021
FIGURE 56.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2019-2021
FIGURE 57.TOP WINNING STRATEGIES, BY COMPANY, 2019-2021
FIGURE 58.AMAZON.COM, INC.:REVENUE, 2018-2020 ($MILLION)
FIGURE 59.AMAZON.COM, INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 60.R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 61.CLOUDERA, INC.: REVENUE, 2018–2020 ($MILLION)
FIGURE 62.CLOUDERA, INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 63.R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 64.ALPHABET INC:NET SALES, 2018–2020 ($MILLION),
FIGURE 65.ALPHABET INC: REVENUE SHARE, BY REGION (2020)
FIGURE 66.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 67.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 68.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 69.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 70.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 71.MICROSOFT CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 72.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 73.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 74.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 75.ORACLE CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 76.ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 77.ORACLE CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 78.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 79.SAP SE: REVENUE, 2018–2020 ($MILLION)
FIGURE 80.SAP SE: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 81.SAP SE: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 82.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 83.SNOWFLAKE INC.: NET SALES, 2018–2020 ($MILLION)
FIGURE 84.SNOWFLAKE INC.:REVENUE SHARE BY REGION (2020)
FIGURE 85.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 86.TERADATA CORPORATION.: NET SALES, 2018–2020 ($MILLION)
FIGURE 87.TERADATA CORPORATION:REVENUE SHARE BY REGION (2020)

 
 

There is an increase in the adoption of data warehousing, owing to rise in demand for structured data from organizations and need for cleaning, enriching, and structuring raw data into meaningful format. In addition, data warehousing provides various advantages such as providing advance security to confidential information and increasing the safety of data from various cyberattacks. Furthermore, the adoption of cloud deployment is on the rise, due to increase in need for automating the insights required for business decision making. In addition, companies are trying to leverage the ever-growing streams of data from various sources such as e-commerce, mobile apps, call centers, and others, to build relevant business strategies and improve the productivity and offerings. But organizations also plan to leverage their investments in on-premise systems, thus, choosing the hybrid deployment model for data warehousing solutions. Key market players have adopted efficient techniques to develop innovative analytic solutions to cater to various needs such as data preparation, and augmented data discovery. The market is also experiencing the trend of improving image recognition with a real time data warehouse.

The data warehousing market is consolidated with the presence of key vendors such as Microsoft Corporation, SAP SE, Oracle Corporation, Amazon, and others. North America and Europe are the prime users of these systems. However, Asia-Pacific is expected to experience significant growth in the near future, owing to increase in adoption of data warehousing in the developing nations of Asia-Pacific. According to industry experts, although there is an increase in the adoption of data warehousing, the market is expected to grow in upcoming few years due to transforming IT strategies of the organizations. Currently, most of the market players including, Snowflake are focusing on applying AI technologies in data warehousing solutions. Natural language analytics and streaming data analytics are emerging technologies expected to impact the market growth. Further, key players are anticipated to focus on the acquisition or strategic alliance with start-ups to expand their market presence and outperform competitors. 
 

PURCHASE OPTIONS

Start reading instantly ,This Report and over 13000+ thousand more Reports, Available with Avenue Library, T&C*

Call or Email us

U.S.-Canada
Toll-free :
+1-800-792-5285
Int'l : +1-503-894-6022
Europe : + 44-845-528-1300
Email : help@alliedmarketresearch.com
FREQUENTLY ASKED QUESTIONS?
Our Report Looks Like This
 

A. The market size of data warehousing market will be $51.18 billion by 2028.

A. Data warehousing is a process of collecting various data from different sources and managing it accordingly for providing meaningful business insights to the organization.

A. To get more insights and Competitive landscape.

A. Data warehousing help organization to achieve enhanced data for making informed business decisions

A. Machine learning and artificial intelligence are the different types of technologies that make data a critical organizational asset.

A. The data warehousing market predicted to reach $51,187 million by 2028

Allied Market Research Allied Market Research Allied Market Research
RELATED TAGS
 

HAVE QUESTIONS?
SPEAK WITH ANALYST

 

DID YOU MISS ANYTHING?
DO YOU HAVE SPECIFIC REQUIREMENTS?

 

Download Sample

OR

Purchase Full Report of
Data Warehousing Market

Start reading instantly.
This Report and over 13,000+ thousand more Reports, Available with Avenue Library. T&C*.

  • Online Only
  • $3,713
  • Online cloud access only
  • Restricted print, copy, paste & download
  • Read only
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Data Pack
  • $4,126
  • Restricted to one authorized user
  • One print only
  • Available in
    Excel
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Single User
  • $6,169
  • Restricted to one authorized user
  • One print only
  • Available in Excel & PDF
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Five Users
  • $6,930
  • Limited to five authorized users
  • Print upto five copies
  • Available in Excel & PDF
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Enterprise
    License/PDF

  • $10,665
  • Unlimited
    within
    company/enterprise
  • Available in Excel & PDF
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Library Membership
  • $ 699/mo
  • Published Content
    E-access
  • Company Profiles
    E-access
  • Newly Added Content Access
  • 10 PDF
    Downloads
  • 5 Excel Data
    Pack Downloads
  • 250 Company Profiles PDF Downloads
  • Buy Now

*Taxes/Fees, if applicable will be added during checkout. All prices in USD

 

Why Allied Market Research?

 

Infallible Methodology

To ensure high-level data integrity, accurate analysis, and impeccable forecasts

Analyst Support

For complete satisfaction

Customization

On-demand customization of scope of the report to exactly meet your needs

TARGETED MARKET VIEW

Targeted market view to provide pertinent information and save time of readers

 
 

Featured Reports

 

Erythropoietin Drugs Market

Global Opportunity Analysis and Industry Forecast, 2021–2028

Published in May 2021

Download Sample

Protein Therapeutics Market

Global Opportunity Analysis and Industry Forecast, 2017-2023

Published in Nov 2017

Download Sample

Surgical Equipment Market

Global Opportunity Analysis and Industry Forecast, 2020-2027

Published in Jan 2021

Download Sample

Medical Implant Market

Global Opportunity Analysis and Industry Forecast, 2020–2027

Published in Nov 2020

Download Sample

Featured Readings

 

Get fresh content delivered

Get insights on topics that are crucial for your business. Stay abreast of your interest areas.

 
Get Industry Data Alerts
 

Why Allied Market Research?

 

Infallible Methodology

To ensure high-level data integrity, accurate analysis, and impeccable forecasts

Analyst Support

For complete satisfaction

Customization

On-demand customization of scope of the report to exactly meet your needs

TARGETED MARKET VIEW

Targeted market view to provide pertinent information and save time of readers