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Data Warehousing Market by Type of Offering (Extraction, Transportation & Loading (ETL) Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured and Semi-Structured & Structured), Deployment (On-Premise, Cloud, and Hybrid), Organization Size (Small & Medium Sized Enterprises and Large Enterprises), and Industry Vertical (BFSI, Telecom & IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2018 - 2025

IC_195221
Pages: 270
Mar 2019 | 1990 Views
 
Author(s) : Vishwa Gaul
Tables: 150
Charts: 70
 

Data Warehousing Market Outlook - 2025

Increase in need for dedicated storage system for growing volume of data and need for low-latency, real-time view and analytics for big data are the major factors that drive the growth of the global data warehousing. In addition, the adoption of logical data warehousing is anticipated to offer significant data warehousing market opportunity. The adoption of data warehousing was highest in the BFSI industry in 2017. The global data warehousing market size was valued at $18.61 billion in 2017, growing at a CAGR of 8.2% from 2018 to 2025.

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Data warehousing is the process of constructing and using data warehouse. A data warehouse is constructed by integrating data from various heterogeneous sources that support analytical reporting, structured or ad-hoc queries, and decision making. It comprises data cleaning, data integration, and data consolidations.

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North America dominated the overall data warehousing market share in 2017, due to early adoption of data warehousing, continuously generating large volume of data from various sources in this region. In addition, presence of most of the major players of data warehousing and regulation and compliance policies fuel the growth of this segment.

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According to deployment mode, data warehousing market size was highest for the on-premise deployment type owing to the major presence of traditional IT infrastructure in majority of the companies, though due to transforming technologies hybrid deployment mode is expected to grow at the highest CAGR.

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

Segment review

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

The key players operating in the global data warehousing market analysis include Actian Corp, Amazon, Cloudera, Google, IBM Corporation, Microsoft, Oracle Corporation, SAP, Snowflake, and Teradata.

Top impacting factors

Need for dedicated storage system for growing volume of data and rise in demand for column-oriented data warehouse solutions to perform advanced analytics are expected to drive the growth of the data warehousing market. However, high implementation cost is expected to restrict the growth of this market.

Need for dedicated storage system for growing volume of data

Exponentially rise in stream of data generating from various sources such as sensors, mobile devices, operational systems, social media is one of the biggest factors that drives the need to adopt data warehousing solutions for storing this huge amount of data which is one of the prime factors affecting growth of data warehousing market. Organizations face the need to store the raw data in form of different data types in structured way. The need to leverage the large amount of data generated to be used for making business decisions further boosts the growth of data warehousing market. The increase in adoption of big data and advanced analytics combining into data warehousing drive the adoption of data warehousing in majority of the enterprises.

Rise in demand for column-oriented data warehouse solutions to perform advanced analytics

Column-oriented database systems, also known as column-stores, have an important demand in the past few years. It stores each database column distinctly thus, the attributes from the same column would be stored compressed, contiguously, and densely-packed in the disk. This method has advantages in reading the records faster as compared to traditional row stores in which each row is stored one after another in the disk. This is an alternate database technology over row-oriented database systems. Column-by-column storage is being preferred by enterprises since irrelevant attributes for a particular query do not have to be accessed, thus driving the demand for column-oriented data warehousing market. The natures of the queries to data warehouses are different from the queries to transactional data warehousing solutions. For instance, the queries tend to be less predictable, longer lasting, more read oriented than write oriented and attribute focused than entity focused. All the data needs to be collected and unified to gain the real value from the raw data for which data analytics is necessary. The increasing need of enterprises to use business intelligence, advanced analytics for making the well-informed business decisions is fueling the demand for data warehousing market as implementation of data warehousing is necessary for utilizing BI tools.

High implementation cost

The high cost of data warehousing solutions hampers the growth of this market as the budget of enterprises, especially for SMEs is limited. Its high implementation cost causes budget constraints in small- & medium-sized businesses to provide effective data warehousing, which restricts the growth of the data warehousing market.

Key Benefits for Data Warehousing Market:

  • This study presents the analytical depiction of the global data warehousing industry along with the current trends and data warehousing market forecast to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunity.
  • The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the data warehousing industry.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.

Data Warehousing Key Market Segments:

By Type Of Offering

  • Extraction, Transportation and Loading (ETL) Solutions
  • Statistical Analysis
  • Data Mining
  • Others

By Type Of Data

  • Unstructured Data
  • Semi-structured & Structured Data

By Deployment

  • On-Premise
  • Cloud
  • Hybrid

By Organization Size

  • Small & Medium Sized Enterprises (SMEs)
  • Large Enterprises

By Industry Vertical

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

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players

  • Actian Corp
  • Amazon
  • Cloudera
  • Google
  • IBM Corporation
  • Microsoft
  • Oracle Corporation
  • SAP
  • Snowflake
  • Teradata
 

CHAPTER 1:    INTRODUCTION

1.1.    REPORT DESCRIPTION
1.2.    KEY BENEFITS FOR STAKEHOLDERS
1.3.    RESEARCH METHODOLOGY

1.3.1.    Secondary research
1.3.2.    Primary research
1.3.3.    Analyst tools & models

CHAPTER 2:    EXECUTIVE SUMMARY

2.1.    CXO PERSPECTIVE

CHAPTER 3:    MARKET OVERVIEW

3.1.    MARKET DEFINITION AND SCOPE
3.2.    KEY FINDINGS

3.2.1.    Top impacting factors
3.2.2.    Top investment pockets
3.2.3.    Top winning strategies

3.3.    PORTER'S FIVE FORCES ANALYSIS
3.4.    KEY PLAYER POSITIONING, 2017
3.5.    MARKET DYNAMICS

3.5.1.    Drivers

3.5.1.1.    Need for dedicated storage system for growing volume of data
3.5.1.2.    Rise in demand for column-oriented data warehouse solutions to perform advanced analytics
3.5.1.3.    The need for low-latency, real-time view and analytics on operational data

3.5.2.    Restraints

3.5.2.1.    Complexity
3.5.2.2.    High implementation cost

3.5.3.    Opportunities

3.5.3.1.    Emerging trend of adopting virtual data warehousing
3.5.3.2.    Growing Application of AI in Data Warehouse

CHAPTER 4:    DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS

4.1.    OVERVIEW
4.2.    EXTRACTION, TRANSPORTATION AND LOADING (ETL) SOLUTIONS

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

4.3.    STATISTICAL ANALYSIS

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

4.4.    DATA MINING

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

4.5.    OTHERS

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

CHAPTER 5:    DATA WAREHOUSING MARKET, BY DEPLOYMENT

5.1.    OVERVIEW
5.2.    ON-PREMISE

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

5.3.    CLOUD

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

5.4.    HYBRID

5.4.1.    Key market trends
5.4.2.    Key growth factors and opportunities
5.4.3.    Market size and forecast, by region
5.4.4.    Market analysis, by country

CHAPTER 6:    DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE

6.1.    OVERVIEW
6.2.    SMALL AND MEDIUM SIZED ENTERPRISES (SMES)

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

6.3.    LARGE ENTERPRISES

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

CHAPTER 7:    DATA WAREHOUSING MARKET, BY TYPE OF DATA

7.1.    OVERVIEW
7.2.    STRUCTURED DATA

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

7.3.    UNSTRUCTURED DATA

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

CHAPTER 8:    DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS

8.1.    OVERVIEW
8.2.    BFSI

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

8.3.    TELECOM AND IT

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

8.4.    GOVERNMENT

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

8.5.    MANUFACTURING

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

8.6.    RETAIL

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

8.7.    HEALTHCARE

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

8.8.    MEDIA & ENTERTAINMENT

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

8.9.    OTHERS

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

CHAPTER 9:    DATA WAREHOUSING MARKET, BY REGION

9.1.    OVERVIEW
9.2.    NORTH AMERICA

9.2.1.    Key market trends
9.2.2.    Key growth factors and opportunities
9.2.3.    Market size and forecast

9.2.3.1.    Market size and forecast, by type of offerings
9.2.3.2.    Market size and forecast, by type of data
9.2.3.3.    Market size and forecast, by deployment
9.2.3.4.    Market size and forecast, by organization size
9.2.3.5.    Market size and forecast, by industry verticals
9.2.3.6.    Market size and forecast, by country
9.2.3.7.    U.S.

9.2.3.7.1.    Market size and forecast, by type of offerings
9.2.3.7.2.    Market size and forecast, by type of data
9.2.3.7.3.    Market size and forecast, by deployment
9.2.3.7.4.    Market size and forecast, by organization size
9.2.3.7.5.    Market size and forecast, by industry verticals

9.2.3.8.    Canada

9.2.3.8.1.    Market size and forecast, by type of offerings
9.2.3.8.2.    Market size and forecast, by type of data
9.2.3.8.3.    Market size and forecast, by deployment
9.2.3.8.4.    Market size and forecast, by organization size
9.2.3.8.5.    Market size and forecast, by industry verticals

9.3.    EUROPE

9.3.1.    Key market trends
9.3.2.    Key growth factors and opportunities
9.3.3.    Market size and forecast

9.3.3.1.    Market size and forecast, by type of offerings
9.3.3.2.    Market size and forecast, by type of data
9.3.3.3.    Market size and forecast, by deployment
9.3.3.4.    Market size and forecast, by organization size
9.3.3.5.    Market size and forecast, by industry verticals
9.3.3.6.    Market size and forecast, by country
9.3.3.7.    UK

9.3.3.7.1.    Market size and forecast, by type of offerings
9.3.3.7.2.    Market size and forecast, by type of data
9.3.3.7.3.    Market size and forecast, by deployment
9.3.3.7.4.    Market size and forecast, by organization size
9.3.3.7.5.    Market size and forecast, by industry verticals

9.3.3.8.    Germany

9.3.3.8.1.    Market size and forecast, by type of offerings
9.3.3.8.2.    Market size and forecast, by type of data
9.3.3.8.3.    Market size and forecast, by deployment
9.3.3.8.4.    Market size and forecast, by organization size
9.3.3.8.5.    Market size and forecast, by industry verticals

9.3.3.9.    France

9.3.3.9.1.    Market size and forecast, by type of offerings
9.3.3.9.2.    Market size and forecast, by type of data
9.3.3.9.3.    Market size and forecast, by deployment
9.3.3.9.4.    Market size and forecast, by organization size
9.3.3.9.5.    Market size and forecast, by industry verticals

9.3.3.10.    Rest of Europe

9.3.3.10.1.    Market size and forecast, by type of offerings
9.3.3.10.2.    Market size and forecast, by type of data
9.3.3.10.3.    Market size and forecast, by deployment
9.3.3.10.4.    Market size and forecast, by organization size
9.3.3.10.5.    Market size and forecast, by industry verticals

9.4.    ASIA-PACIFIC

9.4.1.    Key market trends
9.4.2.    Key growth factors and opportunities
9.4.3.    Market size and forecast

9.4.3.1.    Market size and forecast, by type of offerings
9.4.3.2.    Market size and forecast, by type of data
9.4.3.3.    Market size and forecast, by deployment
9.4.3.4.    Market size and forecast, by organization size
9.4.3.5.    Market size and forecast, by industry verticals
9.4.3.6.    Market size and forecast, by country
9.4.3.7.    China

9.4.3.7.1.    Market size and forecast, by type of offerings
9.4.3.7.2.    Market size and forecast, by type of data
9.4.3.7.3.    Market size and forecast, by deployment
9.4.3.7.4.    Market size and forecast, by organization size
9.4.3.7.5.    Market size and forecast, by industry verticals

9.4.3.8.    India

9.4.3.8.1.    Market size and forecast, by type of offerings
9.4.3.8.2.    Market size and forecast, by type of data
9.4.3.8.3.    Market size and forecast, by deployment
9.4.3.8.4.    Market size and forecast, by organization size
9.4.3.8.5.    Market size and forecast, by industry verticals

9.4.3.9.    Japan

9.4.3.9.1.    Market size and forecast, by type of offerings
9.4.3.9.2.    Market size and forecast, by type of data
9.4.3.9.3.    Market size and forecast, by deployment
9.4.3.9.4.    Market size and forecast, by organization size
9.4.3.9.5.    Market size and forecast, by industry verticals

9.4.3.10.    Rest of Asia-Pacific

9.4.3.10.1.    Market size and forecast, by type of offerings
9.4.3.10.2.    Market size and forecast, by type of data
9.4.3.10.3.    Market size and forecast, by deployment
9.4.3.10.4.    Market size and forecast, by organization size
9.4.3.10.5.    Market size and forecast, by industry verticals

9.5.    LAMEA

9.5.1.    Key market trends
9.5.2.    Key growth factors and opportunities
9.5.3.    Market size and forecast

9.5.3.1.    Market size and forecast, by type of offerings
9.5.3.2.    Market size and forecast, by type of data
9.5.3.3.    Market size and forecast, by deployment
9.5.3.4.    Market size and forecast, by organization size
9.5.3.5.    Market size and forecast, by industry verticals
9.5.3.6.    Market size and forecast, by cou
ntry
9.5.3.7.    Latin America

9.5.3.7.1.    Market size and forecast, by type of offerings
9.5.3.7.2.    Market size and forecast, by type of data
9.5.3.7.3.    Market size and forecast, by deployment
9.5.3.7.4.    Market size and forecast, by organization size
9.5.3.7.5.    Market size and forecast, by industry verticals

9.5.3.8.    Middle East

9.5.3.8.1.    Market size and forecast, by type of offerings
9.5.3.8.2.    Market size and forecast, by type of data
9.5.3.8.3.    Market size and forecast, by deployment
9.5.3.8.4.    Market size and forecast, by organization size
9.5.3.8.5.    Market size and forecast, by industry verticals

9.5.3.9.    Africa

9.5.3.9.1.    Market size and forecast, by type of offerings
9.5.3.9.2.    Market size and forecast, by type of data
9.5.3.9.3.    Market size and forecast, by deployment
9.5.3.9.4.    Market size and forecast, by organization size

9.5.3.9.5.    Market size and forecast, by industry verticals

CHAPTER 10:    COMPANY PROFILE

10.1.    AMAZON.COM, INC.

10.1.1.    Company overview
10.1.2.    Company snapshot
10.1.3.    Operating business segments
10.1.4.    Product portfolio
10.1.5.    Business performance

10.2.    ACTIAN CORPORATION

10.2.1.    Company overview
10.2.2.    Company snapshot
10.2.3.    Product portfolio
10.2.4.    Key strategic moves and developments

10.3.    CLOUDERA, INC.

10.3.1.    Company overview
10.3.2.    Company snapshot
10.3.3.    Operating business segments
10.3.4.    Product portfolio
10.3.5.    Business performance
10.3.6.    Key strategic moves and developments

10.4.    GOOGLE INC. (ALPHABET INC.)

10.4.1.    Company overview
10.4.2.    Company snapshot
10.4.3.    Operating business segments
10.4.4.    Product portfolio
10.4.5.    Business performance
10.4.6.    Key strategic moves and developments

10.5.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)

10.5.1.    Company overview
10.5.2.    Company snapshot
10.5.3.    Operating business segments
10.5.4.    Product portfolio
10.5.5.    Business performance

10.6.    MICROSOFT CORPORATION

10.6.1.    Company overview
10.6.2.    Company snapshot
10.6.3.    Operating business segments
10.6.4.    Product portfolio
10.6.5.    Business performance
10.6.6.    Key strategic moves and developments

10.7.    ORACLE CORPORATION

10.7.1.    Company overview
10.7.2.    Company snapshot
10.7.3.    Operating business segments
10.7.4.    Product portfolio
10.7.5.    Business performance
10.7.6.    Key strategic moves and developments

10.8.    SAP SE

10.8.1.    Company overview
10.8.2.    Company snapshot
10.8.3.    Operating business segments
10.8.4.    Product portfolio
10.8.5.    Business performance
10.8.6.    Key strategic moves and developments

10.9.    SNOWFLAKE COMPUTING INC.

10.9.1.    Company overview
10.9.2.    Company snapshot
10.9.3.    Product portfolio
10.9.4.    Key strategic moves and developments

10.10.    TERADATA

10.10.1.    Company overview
10.10.2.    Company snapshot
10.10.3.    Operating business segments
10.10.4.    Product portfolio
10.10.5.    Business performance
10.10.6.    Key strategic moves and developments

LIST OF TABLES

TABLE 01.    GLOBAL DATA WAREHOUSING MARKET REVENUE, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 02.    DATA WAREHOUSING SOFTWARE MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 03.    DATA WAREHOUSING SERVICES MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 04.    DATA WAREHOUSING FOR DATA MINING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 05.    DATA WAREHOUSING FOR OTHERS MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 06.    GLOBAL DATA WAREHOUSING MARKET REVENUE, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 07.    ON-PREMISE DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 08.    CLOUD DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 09.    HYBRID DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 10.    GLOBAL DATA WAREHOUSING MARKET REVENUE, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 11.    DATA WAREHOUSING, FOR SMES MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 12.    DATA WAREHOUSING MARKET FOR LARGE ENTERPRISES, BY REGION, 2017–2025 ($MILLION)
TABLE 13.    GLOBAL DATA WAREHOUSING MARKET REVENUE, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 14.    DATA WAREHOUSING MARKET FOR STRUCTURED DATA, BY REGION, 2017–2025 ($MILLION)
TABLE 15.    DATA WAREHOUSING MARKET FOR UNSTRUCTURED DATA, BY REGION, 2017–2025 ($MILLION)
TABLE 16.    GLOBAL DATA WAREHOUSING MARKET REVENUE, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 17.    DATA WAREHOUSING MARKET FOR BFSI, BY REGION, 2017–2025 ($MILLION)
TABLE 18.    DATA WAREHOUSING MARKET FOR TELECOM AND IT, BY REGION, 2017–2025 ($MILLION)
TABLE 19.    DATA WAREHOUSING MARKET FOR GOVERNMENT, BY REGION, 2017–2025 ($MILLION)
TABLE 20.    DATA WAREHOUSING MARKET FOR MANUFACTURING, BY REGION, 2017–2025 ($MILLION)
TABLE 21.    DATA WAREHOUSING MARKET FOR RETAIL, BY REGION, 2017–2025 ($MILLION)
TABLE 22.    DATA WAREHOUSING MARKET FOR HEALTHCARE, BY REGION, 2017–2025 ($MILLION)
TABLE 23.    DATA WAREHOUSING MARKET FOR MEDIA & ENTERTAINMENT, BY REGION, 2017–2025 ($MILLION)
TABLE 24.    DATA WAREHOUSING MARKET FOR OTHERS, BY REGION, 2017–2025 ($MILLION)
TABLE 25.    DATA WAREHOUSING MARKET REVENUE, BY REGION, 2017–2025 ($MILLION)
TABLE 26.    NORTH AMERICA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 27.    NORTH AMERICA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 28.    NORTH AMERICA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 29.    NORTH AMERICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 30.    NORTH AMERICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 31.    NORTH AMERICA DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 32.    U.S. DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 33.    U.S. DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 34.    U.S. DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 35.    U.S. DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 36.    U.S. DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 37.    CANADA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 38.    CANADA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 39.    CANADA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 40.    CANADA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 41.    CANADA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 42.    EUROPE DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 43.    EUROPE DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 44.    EUROPE DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 45.    EUROPE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 46.    EUROPE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 47.    EUROPE DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 48.    UK DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 49.    UK DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 50.    UK DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 51.    UK DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 52.    UK DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 53.    GERMANY DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 54.    GERMANY DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 55.    GERMANY DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 56.    GERMANY DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 57.    GERMANY DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 58.    FRANCE DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 59.    FRANCE DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 60.    FRANCE DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 61.    FRANCE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 62.    FRANCE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 63.    REST OF EUROPE DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 64.    REST OF EUROPE DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 65.    REST OF EUROPE DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 66.    REST OF EUROPE DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 67.    REST OF EUROPE DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 68.    ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 69.    ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 70.    ASIA PACIFIC DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 71.    ASIA PACIFIC DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 72.    ASIA PACIFIC DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 73.    ASIA-PACIFIC DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 74.    CHINA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 75.    CHINA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 76.    CHINA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 77.    CHINA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 78.    CHINA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 79.    INDIA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 80.    INDIA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 81.    INDIA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 82.    INDIA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 83.    INDIA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 84.    JAPAN DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 85.    JAPAN DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 86.    JAPAN DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 87.    JAPAN DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 88.    JAPAN DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 89.    REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 90.    REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 91.    REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 92.    REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 93.    REST OF ASIA PACIFIC DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 94.    LAMEA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 95.    LAMEA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 96.    LAMEA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 97.    LAMEA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 98.    LAMEA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 99.    LAMEA DATA WAREHOUSING MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 100.    LATIN AMERICA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 101.    LATIN AMERICA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 102.    LATIN AMERICA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 103.    LATIN AMERICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 104.    LATIN AMERICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 105.    MIDDLE EAST DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 106.    MIDDLE EAST DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 107.    MIDDLE EAST DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 108.    MIDDLE EAST DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 109.    MIDDLE EAST DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 110.    AFRICA DATA WAREHOUSING MARKET, BY TYPE OF OFFERINGS, 2017–2025 ($MILLION)
TABLE 111.    AFRICA DATA WAREHOUSING MARKET, BY TYPE OF DATA, 2017–2025 ($MILLION)
TABLE 112.    AFRICA DATA WAREHOUSING MARKET, BY DEPLOYMENT, 2017–2025 ($MILLION)
TABLE 113.    AFRICA DATA WAREHOUSING MARKET, BY ORGANIZATION SIZE, 2017–2025 ($MILLION)
TABLE 114.    AFRICA DATA WAREHOUSING MARKET, BY INDUSTRY VERTICALS, 2017–2025 ($MILLION)
TABLE 115.    AMAZON.COM, INC.: COMPANY SNAPSHOT
TABLE 116.    AMAZON.COM, INC.: OPERATING SEGMENTS
TABLE 117.    AMAZON.COM, INC.: PRODUCT PORTFOLIO
TABLE 118.    ACTIAN CORPORATION: COMPANY SNAPSHOT
TABLE 119.    ACTIAN CORPORATION: PRODUCT PORTFOLIO
TABLE 120.    ACTIAN CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 121.    CLOUDERA, INC.: COMPANY SNAPSHOT
TABLE 122.    CLOUDERA, INC.: OPERATING SEGMENTS
TABLE 123.    CLOUDERA, INC.: PRODUCT PORTFOLIO
TABLE 124.    CLOUDERA, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 125.    GOOGLE INC.: COMPANY SNAPSHOT
TABLE 126.    GOOGLE INC.: OPERATING SEGMENTS
TABLE 127.    GOOGLE INC.: PRODUCT PORTFOLIO
TABLE 128.    GOOGLE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 129.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
TABLE 130.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
TABLE 131.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
TABLE 132.    MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 133.    MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 134.    MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 135.    MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 136.    ORACLE CORPORATION : COMPANY SNAPSHOT
TABLE 137.    ORACLE CORPORATION : OPERATING SEGMENTS
TABLE 138.    ORACLE CORPORATION : PRODUCT PORTFOLIO
TABLE 139.    ORACLE CORPORATION : KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 140.    SAP SE: COMPANY SNAPSHOT
TABLE 141.    SAP SE: OPERATING SEGMENTS
TABLE 142.    SAP SE: PRODUCT PORTFOLIO
TABLE 143.    SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 144.    SNOWFLAKE COMPUTING INC.: COMPANY SNAPSHOT
TABLE 145.    SNOWFLAKE COMPUTING INC.: PRODUCT PORTFOLIO
TABLE 146.    SNOWFLAKE COMPUTING INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 147.    TERADATA: COMPANY SNAPSHOT
TABLE 148.    TERADATA: OPERATING SEGMENTS
TABLE 149.    TERADATA: PRODUCT PORTFOLIO
TABLE 150.    TERADATA: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 01.    GLOBAL DATA WAREHOUSING MARKET, 2017–2025
FIGURE 02.    DATA WAREHOUSING MARKET, BY REGION, 2017–2025
FIGURE 03.    GLOBAL DATA WAREHOUSING MARKET: KEY PLAYERS
FIGURE 04.    GLOBAL DATA WAREHOUSING MARKET SEGMENTATION
FIGURE 05.    TOP IMPACTING FACTORS
FIGURE 06.    TOP INVESTMENT POCKETS
FIGURE 07.    TOP WINNING STRATEGIES, BY YEAR, 2015–2018*
FIGURE 08.    TOP WINNING STRATEGIES, BY DEVELOPMENT, 2015–2018* (%)
FIGURE 09.    TOP WINNING STRATEGIES, BY COMPANY, 2015–2018*
FIGURE 10.    MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 11.    MODERATE TO HIGH BARGAINING POWER OF BUYERS
FIGURE 12.    MODERATE THREAT OF SUBSTITUTES
FIGURE 13.    MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 14.    HIGH COMPETITIVE RIVALRY
FIGURE 15.    KEY PLAYER POSITIONING, 2017
FIGURE 16.    DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 17.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING SOFTWARE MARKET, BY COUNTRY,  2017 & 2025 (%)
FIGURE 18.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING SERVICES MARKET, BY COUNTRY,  2017 & 2025 (%)
FIGURE 19.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING FOR DATA MINING MARKET, BY COUNTRY,  2017 & 2025 (%)
FIGURE 20.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING FOR OTHERS MARKET, BY COUNTRY,  2017 & 2025 (%)
FIGURE 21.    COMPARATIVE SHARE ANALYSIS OF ON-PREMISE DATA WAREHOUSING MARKET, BY COUNTRY,  2017 & 2025 (%)
FIGURE 22.    COMPARATIVE SHARE ANALYSIS OF HYBRID DATA WAREHOUSING MARKET, BY COUNTRY,  2017 & 2025 (%)
FIGURE 23.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR SMES, BY COUNTRY, 2017 & 2025 (%)
FIGURE 24.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2017 & 2025 (%)
FIGURE 25.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR STRUCTURED DATA, BY COUNTRY, 2017 & 2025 (%)
FIGURE 26.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR UNSTRUCTURED DATA, BY COUNTRY, 2017 & 2025 (%)
FIGURE 27.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR BFSI, BY COUNTRY, 2017 & 2025 (%)
FIGURE 28.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR TELECOM AND IT, BY COUNTRY, 2017 & 2025 (%)
FIGURE 29.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR GOVERNMENT, BY COUNTRY, 2017 & 2025 (%)
FIGURE 30.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR MANUFACTURING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 31.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR RETAIL, BY COUNTRY, 2017 & 2025 (%)
FIGURE 32.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR HEALTHCARE, BY COUNTRY, 2017 & 2025 (%)
FIGURE 33.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR MEDIA & ENTERTAINMENT, BY COUNTRY, 2017 & 2025 (%)
FIGURE 34.    COMPARATIVE SHARE ANALYSIS OF DATA WAREHOUSING MARKET FOR OTHERS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 35.    U.S. DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 36.    CANADA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 37.    UK DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 38.    GERMANY DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 39.    FRANCE DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 40.    REST OF EUROPE DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 41.    CHINA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 42.    INDIA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 43.    JAPAN DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 44.    REST OF ASIA-PACIFIC DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 45.    LATIN AMERICA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 46.    MIDDLE EAST DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 47.    AFRICA DATA WAREHOUSING MARKET, 2017–2025 ($MILLION)
FIGURE 48.    AMAZON.COM, INC.: REVENUE, 2015–2017 ($MILLION)
FIGURE 49.    AMAZON.COM, INC.: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 50.    AMAZON.COM, INC.: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 51.    CLOUDERA, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 52.    CLOUDERA, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 53.    GOOGLE INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 54.    GOOGLE INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 55.    GOOGLE INC.: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 56.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE, 2016–2018 ($MILLION)
FIGURE 57.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 58.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY REGION, 2018 (%)
FIGURE 59.    MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 60.    MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 61.    MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 62.    ORACLE CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 63.    ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 64.    ORACLE CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 65.    SAP SE: REVENUE, 2016–2018 ($MILLION)
FIGURE 66.    SAP SE: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 67.    SAP SE: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 68.    TERADATA: REVENUE, 2016–2018 ($MILLION)
FIGURE 69.    TERADATA: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 70.    TERADATA: REVENUE SHARE BY GEOGRAPHY, 2018 (%)

 
 

Data warehousing is a collection of methods, techniques, and tools used to support knowledge workers such as senior managers, managers, directors, and analysts to conduct data analyses that help in decision making processes and improving information resources.

The global data warehousing market is projected to witness significant growth, especially, in Asia-Pacific due to generation of large volumes of data and rise in adoption of business intelligence in this region. The market is projected to grow at a CAGR of 8.2% from 2018 to 2025, owing to demand for effective storage system for storing the huge amount of data generated from various sources in the organizations, growth in adoption of business intelligence in the enterprises, adoption of cloud technologies and analytics, and increase in adoption of mobility in enterprises.

Using data warehousing, organizations can store data of multiple data types in organized and unified manner and access it whenever required. Organizations are facing real-time and ever changing needs, so data warehouse providers need to automate the current solutions. Furthermore, the market is witnessing the trend of using machine learning and AI in data warehousing solutions to enhance related solutions. Natural language analytics and streaming data analytics are emerging technologies, which will impact the market. In addition, increase in regulation policies to protect the user’s data, is anticipated to boost the growth of the market during the forecast period. Further, data warehousing, is expected to be a prevailing driver of new purchases of business intelligence and analytics solutions.

The key players profiled in the report include Actian Corp, Amazon, Cloudera, Google, IBM Corporation, Microsoft, Oracle Corporation, SAP, Snowflake, and Teradata. The key market players have adopted various strategies such as merger & acquisition or strategic alliance with start-ups and well-established players to expand their market presence and enhance their product portfolio.

 

 

 

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