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Data Extraction Market by Component (Solution and Service), Data Type (Unstructured and Semi-Structured & Structured),Deployment Model (On-Premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (BFSI, Manufacturing, Healthcare, Government, Energy & Utilities, Transportation, Retail & E-commerce, IT & Telecom, Education and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

A06797
Pages: 308
Aug 2020 | 436 Views
 
Author(s) : Pramod Borasi, Shadaab Khan , Vineet Kumar
Tables: 178
Charts: 82
 

COVID-19

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Data Extraction Market Statistics: 2027

The global data extraction market was valued at $2.14 billion in 2019, and is projected to reach $4.90 billion by 2027, growing at a CAGR of 11.8% from 2020 to 2027. Data extraction implies to the process of cleaning, restructuring, and enhancing the available raw data into the desired format to improve the decision-making capability of the organization. In addition, data extraction software helps companies and employees to improve the productivity of the organization and to provide enhanced security features to the company’s valuable data. Numerous advantages provided by data extraction software include structuring huge amount of data, improving the accuracy of the data, and providing easy access to large volume of data.

Post COVID-19, education industry is expected to create several lucrative opportunities for data extraction market, owing to rising trend of online education and increase in demand of these tools to enhance the performance of students by adopting suitable policy for them.

 

Surge in adoption of big data and business analytics software by multiple organizations and need for dedicated storage system for growing volume of data across the globe drive the growth of the market. In addition, numerous benefits provided by data extraction software fuel the growth of the data extraction market. Moreover, rise in concerns regarding the quality of data and complexity in extracting data from various sources hamper the growth of the market. Furthermore, growing adoption of AI in data extraction and emerging trends of adopting virtual data warehousing are expected to provide lucrative opportunity for the market expansion during the forecast period.

Data-Extraction--Market-2020-2027

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By industry vertical, the global data extraction market is led by the BFSI segment in 2019, and is projected to maintain its dominance during the forecast period. This is attributed to surge in adoption of data extraction for analyzing large quantity of financial data of the customers. However, the education segment is expected to grow at the highest rate during the forecast period, owing to increase in adoption of this tools in schools as it provides a conceptual framework of the school subjects and manages the students and their learning record, then performs analysis of their academic achievements.

Region wise, the data extraction market was dominated by North America in 2019, and is expected to retain its position during the forecast period. The major factors that drive the growth of the market in this region include presence of key players and rise in penetration of data extraction software across the region. However, Asia-Pacific is expected to witness significant growth rate during the forecast period, owing to surge in adoption of mobile and cloud-based technology by SMEs among the developing nations such as China and India. 

The report focuses on the growth prospects, restraints, and trends of the global data extraction market analysis. 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 extraction market.

Data Extraction Market
By Component

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Solution is projected as one of the most lucrative segments.

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Segment review

The global data extraction market is segmented on the basis of component, data type, deployment model, enterprise size, industry vertical, and region. In terms of component, the market is fragmented into solution and service. The data type covered in the study include unstructured and semi-structured & structured. By deployment model, it is segregated into on-premise and cloud. As per enterprise size, it is divided into large enterprise and small & medium enterprises. In terms of industry vertical, it is fragmented into BFSI, manufacturing, healthcare, government, energy & utilities, transportation, retail & e-commerce, IT & telecom, education and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Data Extraction Market
By Data Type

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

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The key players profiled in the data extraction market analysis are Alteryx, Inc., Altair Engineering Inc., Fair Isaac Corporation, IBM Corporation, Microsoft Corporation, Matillion Ltd., Oracle Corporation, SAS Institute, Inc., SAP SE, and Teradata Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry. 

Data Extraction Market
By Deployment Model

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

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COVID-19 impact analysis

The data extraction market has witnessed significant growth in past few years; however, due to the outbreak of the COVID-19 pandemic, the market is projected to witness slight decline in growth rate 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 extraction 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 employee, which is creating demand for the cloud-based data extraction software to manage and analyze critical information of organizations, thus, creating lucrative opportunity for the market.

Data Extraction Market
By Enterprise Size

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

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Top impacting factors

Rise in application of AI in data extraction

Artificial Intelligence (AI) and Machine Learning (ML) technologies are disrupting the data extraction solutions. The use of AI and ML facilitates a smart data extraction and 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, applying these technologies for data extraction solutions are expected to offer great opportunities for this data extraction industry during the forecast period.

Data Extraction Market
By Industry Vertical

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BFSI is projected as one of the most lucrative segments.

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Emerging trend of adopting virtual data warehousing

A virtual data warehouse offers a condensed outlook of the data inventory that comprises meta data. Virtual data warehousing utilizes middleware to form connections to different data sources. It can be as 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. 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 to be 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 the virtual data warehousing. In addition, by avoiding physical data replication with its associated storage and support requirements, data virtualization reduces both times to solution and ongoing operating costs, often as much as fourfold.

Data Extraction Market
By Region

2027
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific would exhibit the highest CAGR of 14.7% during 2020-2027.

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Key Benefits For Stakeholders 

  • The study provides an in-depth analysis of the global data extraction 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 extraction 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 market from 2020 to 2027 is provided to determine the market potential.

Key Market Segments

By Component

  • Solution 
  • Service

By Data Type

  • Unstructured
  • Semi-Structured & Structured

By Deployment Model

  • On-Premise 
  • Cloud

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • BFSI
  • Manufacturing
  • Healthcare
  • Government
  • Energy & Utilities
  • Transportation
  • Retail & E-commerce
  • IT & Telecom
  • Education
  • Others 

By Region

  • North America
    • U.S.
    • Canada
  • Europe 
    • UK
    • Germany 
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific 
    • China
    • India
    • Japan
    • Australia
    • Singapore
    • South Korea    
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America 
    • Middle East 
    • Africa

Key Market Players

  • Alteryx, Inc.
  • Altair Engineering Inc.
  • Fair Isaac Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Matillion Ltd.
  • Oracle Corporation
  • SAS Institute, Inc.
  • SAP SE
  • 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 global data extraction market
3.3.Case studies

3.3.1.Case Study 01
3.3.2.Case study 02

3.4.Market dynamics

3.4.1.Drivers

3.4.1.1.Surge in adoption of big data analytics software by multiple organizations
3.4.1.2.Need for dedicated storage system for growing volume of data
3.4.1.3.Numerous benefits provided by data extraction solutions

3.4.2.Restraints

3.4.2.1.Complexity
3.4.2.2.Concerns regarding the data quality issues.

3.4.3.Opportunity

3.4.3.1.Rise in application of AI in data extraction
3.4.3.2.Emerging trend of adopting virtual data warehousing

CHAPTER 4:DATA EXTRACTION MARKET, BY COMPONENT

4.1.Overview
4.2.Solution

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.Service

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

CHAPTER 5:DATA EXTRACTION MARKET, BY DATA TYPE

5.1.Overview
5.2.Unstructured

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

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 EXTRACTION MARKET, BY DEPLOYMENT MODEL

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

CHAPTER 7:DATA EXTRACTION MARKET, BY ENTERPRISE SIZE

7.1.Overview

7.1.1.Market size and forecast

7.2.Large enterprises

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.Small & medium 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 EXTRACTION MARKET, BY INDUSTRY VERTICAL

8.1.Overview

8.1.1.Market size and forecast

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.Manufacturing

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.Healthcare

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.Government

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.Energy & utilities

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.Transportation

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.Retail & Ecommerce

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.IT & Telecom

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

8.10.Education

8.10.1.Key market trends, growth factors and opportunities
8.10.2.Market size and forecast, by region
8.10.3.Market analysis by country

8.11.Others

8.11.1.Key market trends, growth factors and opportunities
8.11.2.Market size and forecast, by region
8.11.3.Market analysis by country

CHAPTER 9:GLOBAL DATA EXTRACTION MARKET, BY REGION

9.1.Overview

9.1.1.Market size and forecast, by region

9.2.North America

9.2.1.Key market trends, growth factors and opportunities
9.2.2.Market analysis by Component
9.2.3.Market analysis by Device Type
9.2.4.Market analysis by Deployment Model
9.2.5.Market analysis by Enterprise Size
9.2.6.Market analysis by Industry Vertical
9.2.7.Market analysis by Country

9.2.7.1.U.S.

9.2.7.1.1.Market size and forecast, by component
9.2.7.1.2.Market size and forecast, by device type
9.2.7.1.3.Market size and forecast, deployment model
9.2.7.1.4.Market size and forecast, enterprise size
9.2.7.1.5.market analysis by, industry vertical

9.2.7.2.CANADA

9.2.7.2.1.Market size and forecast, by component
9.2.7.2.2.Market size and forecast, by device type
9.2.7.2.3.Market size and forecast, deployment model
9.2.7.2.4.Market size and forecast, enterprise size
9.2.7.2.5.market analysis by, industry vertical

9.3.Europe

9.3.1.Key market trends, growth factors and opportunities
9.3.2.Market analysis by Component
9.3.3.Market analysis by Device Type
9.3.4.Market analysis by Deployment Model
9.3.5.Market analysis by Enterprise Size
9.3.6.Market analysis by Industry Vertical
9.3.7.Market analysis by Country

9.3.7.1.UK

9.3.7.1.1.Market size and forecast, by component
9.3.7.1.2.Market size and forecast, by device type
9.3.7.1.3.Market size and forecast, deployment model
9.3.7.1.4.Market size and forecast, enterprise size
9.3.7.1.5.market analysis by, industry vertical

9.3.7.2.GERMANY

9.3.7.2.1.Market size and forecast, by component
9.3.7.2.2.Market size and forecast, by device type
9.3.7.2.3.Market size and forecast, deployment model
9.3.7.2.4.Market size and forecast, enterprise size
9.3.7.2.5.Market analysis by, industry vertical

9.3.7.3.FRANCE

9.3.7.3.1.Market size and forecast, by component
9.3.7.3.2.Market size and forecast, by device type
9.3.7.3.3.Market size and forecast, deployment model
9.3.7.3.4.Market size and forecast, enterprise size
9.3.7.3.5.Market analysis by, industry vertical

9.3.7.4.ITALY

9.3.7.4.1.Market size and forecast, by component
9.3.7.4.2.Market size and forecast, by device type
9.3.7.4.3.Market size and forecast, deployment model
9.3.7.4.4.Market size and forecast, enterprise size
9.3.7.4.5.Market analysis by, industry vertical

9.3.7.5.SPAIN

9.3.7.5.1.Market size and forecast, by component
9.3.7.5.2.Market size and forecast, by device type
9.3.7.5.3.Market size and forecast, deployment model
9.3.7.5.4.Market size and forecast, enterprise size
9.3.7.5.5.Market analysis by, industry vertical

9.3.7.6.RUSSIA

9.3.7.6.1.Market size and forecast, by component
9.3.7.6.2.Market size and forecast, by device type
9.3.7.6.3.Market size and forecast, deployment model
9.3.7.6.4.Market size and forecast, enterprise size
9.3.7.6.5.market analysis by, industry vertical

9.3.7.7.REST OF EUROPE

9.3.7.7.1.Market size and forecast, by component
9.3.7.7.2.Market size and forecast, by device type
9.3.7.7.3.Market size and forecast, deployment model
9.3.7.7.4.Market size and forecast, enterprise size
9.3.7.7.5.market analysis by, industry vertical

9.4.Asia-Pacific

9.4.1.Key market trends, growth factors, and opportunities
9.4.2.Market analysis by Component
9.4.3.Market analysis by Device Type
9.4.4.Market analysis by Deployment Model
9.4.5.Market analysis by Enterprise Size
9.4.6.Market analysis by Industry Vertical
9.4.7.Market analysis by Country

9.4.7.1.CHINA

9.4.7.1.1.Market size and forecast, by component
9.4.7.1.2.Market size and forecast, by device type
9.4.7.1.3.Market size and forecast, deployment model
9.4.7.1.4.Market size and forecast, enterprise size
9.4.7.1.5.market analysis by, industry vertical

9.4.7.2.INDIA

9.4.7.2.1.Market size and forecast, by component
9.4.7.2.2.Market size and forecast, by device type
9.4.7.2.3.Market size and forecast, deployment model
9.4.7.2.4.Market size and forecast, enterprise size
9.4.7.2.5.market analysis by, industry vertical

9.4.7.3.JAPAN

9.4.7.3.1.Market size and forecast, by component
9.4.7.3.2.Market size and forecast, by device type
9.4.7.3.3.Market size and forecast, deployment model
9.4.7.3.4.Market size and forecast, enterprise size
9.4.7.3.5.market analysis by, industry vertical

9.4.7.4.AUSTRALIA

9.4.7.4.1.Market size and forecast, by component
9.4.7.4.2.Market size and forecast, by device type
9.4.7.4.3.Market size and forecast, deployment model
9.4.7.4.4.Market size and forecast, enterprise size
9.4.7.4.5.market analysis by, industry vertical

9.4.7.5.SINGAPORE

9.4.7.5.1.Market size and forecast, by component
9.4.7.5.2.Market size and forecast, by device type
9.4.7.5.3.Market size and forecast, deployment model
9.4.7.5.4.Market size and forecast, enterprise size
9.4.7.5.5.market analysis by, industry vertical

9.4.7.6.SOUTH KOREA

9.4.7.6.1.Market size and forecast, by component
9.4.7.6.2.Market size and forecast, by device type
9.4.7.6.3.Market size and forecast, deployment model
9.4.7.6.4.Market size and forecast, enterprise size
9.4.7.6.5.market analysis by, industry vertical

9.4.7.7.REST OF ASIA-PACIFIC

9.4.7.7.1.Market size and forecast, by component
9.4.7.7.2.Market size and forecast, by device type
9.4.7.7.3.Market size and forecast, deployment model
9.4.7.7.4.Market size and forecast, enterprise size
9.4.7.7.5.Market analysis by, industry vertical

9.5.LAMEA

9.5.1.Key market trends, growth factors and opportunities
9.5.2.Market analysis by Component
9.5.3.Market analysis by Device Type
9.5.4.Market analysis by Deployment Model
9.5.5.Market analysis by Enterprise Size
9.5.6.Market analysis by Industry Vertical
9.5.7.Market analysis by Country

9.5.7.1.LATIN AMERICA

9.5.7.1.1.Market size and forecast, by component
9.5.7.1.2.Market size and forecast, by device type
9.5.7.1.3.Market size and forecast, deployment model
9.5.7.1.4.Market size and forecast, enterprise size
9.5.7.1.5.Market analysis by, industry vertical

9.5.7.2.MIDDLE EAST

9.5.7.2.1.Market size and forecast, by component
9.5.7.2.2.Market size and forecast, by device type
9.5.7.2.3.Market size and forecast, deployment model
9.5.7.2.4.Market size and forecast, enterprise size
9.5.7.2.5.market analysis by, industry vertical

9.5.7.3.AFRICA

9.5.7.3.1.Market size and forecast, by component
9.5.7.3.2.Market size and forecast, by device type
9.5.7.3.3.Market size and forecast, deployment model
9.5.7.3.4.Market size and forecast, enterprise size
9.5.7.3.5.Market analysis by, industry vertical

CHAPTER 10:COMPANY PROFILE

10.1.Alteryx, Inc.

10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Product portfolio
10.1.5.R&D Expenditure
10.1.6.Business performance
10.1.7.Key strategic moves and developments

10.2.ALTAIR ENGINEERING INC.

10.2.1.Company overview
10.2.2.Company snapshot
10.2.3.Operating business segments
10.2.4.Product portfolio
10.2.5.R&D expenditure
10.2.6.Business performance
10.2.7.Key strategic moves and developments

10.3.Fair Isaac Corporation

10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Operating business segments
10.3.5.Product portfolio
10.3.6.R&D expenditure
10.3.7.Business performance
10.3.8.Key strategic moves and developments

10.4.International Business Machines Corporation

10.4.1.Company overview
10.4.2.Key Executives
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.R&D expenditure
10.4.7.Business performance
10.4.8.Key strategic moves and developments

10.5.Microsoft Corporation

10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Operating business segments
10.5.5.Product portfolio
10.5.6.R&D expenditure
10.5.7.Business performance
10.5.8.Key strategic moves and developments

10.6.Matillion Ltd

10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Product portfolio
10.6.5.Key strategic moves and developments

10.7.Oracle Corporation

10.7.1.Company overview
10.7.2.Key executives
10.7.3.Company snapshot
10.7.4.Operating business segments
10.7.5.Product portfolio
10.7.6.R&D expenditure
10.7.7.Business performance
10.7.8.Key strategic moves and developments

10.8.SAS Institute Inc.

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

10.9.SAP SE

10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Operating business segments
10.9.5.Product portfolio
10.9.6.R&D expenditure
10.9.7.Business performance
10.9.8.Key strategic moves and developments

10.10.TERADATA CORPORATION

10.10.1.Company overview
10.10.2.Key Executives
10.10.3.Company snapshot
10.10.4.Product portfolio
10.10.5.Key strategic moves and developments

LIST OF TABLES

TABLE 01.GLOBAL DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 02.DATA EXTRACTION MARKET REVENUE FOR SOLUTION, BY REGION, 2019–2027 ($MILLION)
TABLE 03.DATA EXTRACTION MARKET REVENUE FOR SERVICE, BY REGION, 2019–2027 ($MILLION)
TABLE 04.GLOBAL DATA EXTRACTION MARKET REVENUE, BY DATA TYPE, 2019–2027 ($MILLION)
TABLE 05.DATA EXTRACTION MARKET REVENUE FOR UNSTRUCTURED, BY REGION,  2019–2027 ($MILLION)
TABLE 06.DATA EXTRACTION MARKET REVENUE FOR SEMI-STRUCTURED & STRUCTURED , BY REGION,  2019–2027 ($MILLION)
TABLE 07.GLOBAL DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($MILLION)
TABLE 08.ON_PREMISE DATA EXTRACTION MARKET REVENUE, BY REGION, 2019–2027 ($MILLION)
TABLE 09.CLOUD BASED DATA EXTRACTION MARKET REVENUE, BY REGION, 2019–2027 ($MILLION)
TABLE 10.GLOBAL DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2019-2027($MILLION)
TABLE 11.DATA EXTRACTION MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION 2019-2027 ($MILLION)
TABLE 12.DATA EXTRACTION MARKET REVENUE FOR SMALL & MEDIUM ENTERPRISES, BY REGION 2019-2027 ($MILLION)
TABLE 13.GLOBAL DATA EXTRACTION SOFTWARE MARKET REVENUE, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 14.DATA EXTRACTION MARKET REVENUE FOR BFSI, BY REGION 2019-2027 ($MILLION)
TABLE 15.DATA EXTRACTION MARKET REVENUE FOR MANUFACTURING, BY REGION 2019-2027 ($MILLION)
TABLE 16.DATA EXTRACTION MARKET REVENUE FOR HEALTHCARE, BY REGION 2019-2027 ($MILLION)
TABLE 17.DATA EXTRACTION MARKET REVENUE FOR GOVERNMENT, BY REGION 2019-2027 ($MILLION)
TABLE 18.DATA EXTRACTION MARKET REVENUE FOR ENERGY & UTILITIES, BY REGION 2019-2027 ($MILLION)
TABLE 19.DATA EXTRACTION MARKET REVENUE FOR TRANSPORTATION, BY REGION 2019-2027 ($MILLION)
TABLE 20.DATA EXTRACTION MARKET REVENUE FOR RETAIL AND ECOMMERCE, BY REGION 2019-2027 ($MILLION)
TABLE 21.DATA EXTRACTION MARKET REVENUE FOR IT & TELECOM, BY REGION 2019-2027 ($MILLION)
TABLE 22.DATA EXTRACTION MARKET REVENUE FOR EDUCATION, BY REGION 2019-2027 ($MILLION)
TABLE 23.DATA EXTRACTION MARKET REVENUE FOR OTHERS, BY REGION 2019-2027 ($MILLION)
TABLE 24.DATA EXTRACTION MARKET REVENUE, BY REGION, 2019–2027 ($MILLION)
TABLE 25.NORTH AMERICA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 26.NORTH AMERICA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 27.NORTH AMERICA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 28.NORTH AMERICA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 29.NORTH AMERICA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 30.NORTH AMERICA DATA EXTRACTION MARKET REVENUE, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 31.U.S. DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 32.U.S. DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 33.U.S. DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 34.U.S. DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 35.U.S. DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 36.CANADA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 37.CANADA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 38.CANADA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 39.CANADA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 40.CANADA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 41.EUROPE DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 42.EUROPE DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 43.EUROPE DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 44.EUROPE DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 45.EUROPE DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 46.EUROPE DATA EXTRACTION MARKET REVENUE, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 47.UK DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 48.UK DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 49.UK DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 50.UK DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 51.UK DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 52.GERMANY DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 53.GERMANY DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 54.GERMANY DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 55.GERMANY DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 56.GERMANY DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 57.FRANCE DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 58.FRANCE DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 59.FRANCE DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 60.FRANCE DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 61.FRANCE DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 62.ITALY DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 63.ITALY DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 64.ITALY DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 65.ITALY DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 66.ITALY DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 67.SPAIN DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 68.SPAIN DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 69.SPAIN DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 70.SPAIN DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 71.SPAIN DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 72.RUSSIA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 73.RUSSIA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 74.RUSSIA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 75.RUSSIA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 76.RUSSIA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 77.REST OF EUROPE DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 78.REST OF EUROPE DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 79.REST OF EUROPE DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 80.REST OF EUROPE DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 81.REST OF EUROPE DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 82.ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 83.ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 84.ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 85.ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 86.ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 87.ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 88.CHINA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 89.CHINA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 90.CHINA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 91.CHINA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 92.CHINA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 93.INDIA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 94.INDIA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 95.INDIA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 96.INDIA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 97.INDIA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 98.JAPAN DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 99.JAPAN DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 100.JAPAN DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 101.JAPAN DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 102.JAPAN DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 103.AUSTRALIA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 104.AUSTRALIA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 105.AUSTRALIA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 106.AUSTRALIA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 107.AUSTRALIA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 108.SINGAPORE DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 109.SINGAPORE DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 110.SINGAPORE DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 111.SINGAPORE DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 112.SINGAPORE DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 113.SOUTH KOREA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 114.SOUTH KOREA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 115.SOUTH KOREA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 116.SOUTH KOREA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 117.SOUTH KOREA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 118.REST OF ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 119.REST OF ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 120.REST OF ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 121.REST OF ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 122.REST OF ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 123.LAMEA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 124.LAMEA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 125.LAMEA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 126.LAMEA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 127.LAMEA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 128.LAMEA DATA EXTRACTION MARKET REVENUE, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 129.LATIN AMERICA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 130.LATIN AMERICA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 131.LATIN AMERICA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 132.LATIN AMERICA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 133.LATIN AMERICA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 134.MIDDLE EAST DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 135.MIDDLE EAST DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 136.MIDDLE EAST DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 137.MIDDLE EAST DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 138.MIDDLE EAST DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 139.AFRICA DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 140.AFRICA DATA EXTRACTION MARKET REVENUE, BY DEVICE TYPE, 2018–2026 ($MILLION)
TABLE 141.AFRICA DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 142.AFRICA DATA EXTRACTION MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 143.AFRICA DATA EXTRACTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 144.ALTERYX, INC.: KEY EXECUTIVES
TABLE 145.ALTERYX, INC.: COMPANY SNAPSHOT
TABLE 146.ALTERYX, INC.: PRODUCT PORTFOLIO
TABLE 147.ALTAIR ENGINEERING INC.: KEY EXECUTIVES
TABLE 148.ALTAIR ENGINEERING INC.: COMPANY SNAPSHOT
TABLE 149.ALTAIR ENGINEERING INC.: OPERATING SEGMENTS
TABLE 150.ALTAIR ENGINEERING INC.: VIDEO ANALYTICS PRODUCT PORTFOLIO
TABLE 151.FAIR ISAAC CORPORATION.: COMPANY SNAPSHOT
TABLE 152.FAIR ISAAC CORPORATION: OPERATING SEGMENTS
TABLE 153.FAIR ISAAC CORPORATION: VIDEO ANALYTICS PRODUCT PORTFOLIO
TABLE 154.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 155.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 156.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 157.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 158.MICROSOFT CORPORATION : KEY EXECUTIVES
TABLE 159.MICROSOFT CORPORATION : COMPANY SNAPSHOT
TABLE 160.MICROSOFT CORPORATION : OPERATING SEGMENTS
TABLE 161.MICROSOFT CORPORATION : PRODUCT PORTFOLIO
TABLE 162.MATILLION LTD.: COMPANY SNAPSHOT
TABLE 163.MATILLION LTD: VIDEO ANALYTICS PRODUCT PORTFOLIO
TABLE 164.ORACLE CORPORATION: KEY EXECUTIVES
TABLE 165.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 166.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 167.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 168.ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 169.SAS INSTITUTE INC.: KEY EXECUTIVES
TABLE 170.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 171.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 172.SAP SE: KEY EXECUTIVES
TABLE 173.SAP SE: COMPANY SNAPSHOT
TABLE 174.SAP SE: OPERATING SEGMENTS
TABLE 175.SAP SE: PRODUCT PORTFOLIO
TABLE 176.TERADATA CORPORATION: KEY EXECUTIVES
TABLE 177.TERADATA CORPORATION: COMPANY SNAPSHOT
TABLE 178.TERADATA CORPORATION: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.GLOBAL DATA EXTRACTION MARKET, 2019–2027
FIGURE 03.GLOBAL DATA EXTRACTION MARKET, BY REGION, 2019–2027
FIGURE 04.DATA EXTRACTION MARKET: TOP IMPACTING FACTOR
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.LOW-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07.LOW-TO-HIGH BARGAINING POWER OF BUYER
FIGURE 08.LOW-TO-MODERATE THREAT OF SUBSTITUTES
FIGURE 09.LOW-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 10.LOW-TO-HIGH COMPETITIVE RIVALRY
FIGURE 11.GLOBAL DATA EXTRACTION MARKET REVENUE, BY COMPONENT, 2019–2027 ($MILLION)
FIGURE 12.COMPARATIVE SHARE ANALYSIS OF DATA EXTRACTION MARKET FOR SOLUTION, BY COUNTRY, 2019 & 2027 (%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF DATA EXTRACTION MARKET FOR SERVICE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 14.GLOBAL DATA EXTRACTION MARKET, BY DATA TYPE, 2019–2027
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF DATA EXTRACTION MARKET FOR UNSTRUCTURED, BY COUNTRY, 2019 & 2027(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF DATA EXTRACTION MARKET FOR SEMI-STRUCTURED & STRUCTURED, BY COUNTRY, 2019 & 2027(%)
FIGURE 17.GLOBAL DATA EXTRACTION MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027($MILLION)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF ON-PREMISE DATA EXTRACTION MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF CLOUD DATA EXTRACTION MARKET BY COUNTRY, 2019 & 2027 (%)
FIGURE 20.GLOBAL DATA EXTRACTION MARKET, BY ENTERPRISE SIZE, 2019-2027
FIGURE 21.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR LARGE ENTERPRISES, BY COUNTRY,  2019 & 2027(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR SMALL & MEDIUM ENTERPRISES, BY COUNTRY, 2019 & 2027(%)
FIGURE 23.GLOBAL DATA EXTRACTION MARKET, BY INDUSTRY VERTICAL, 2019-2027
FIGURE 24.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR BFSI, BY COUNTRY, 2019 & 2027(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR MANUFACTURING, BY COUNTRY,  2019 & 2027(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR HEALTHCARE, BY COUNTRY, 2019 & 2027(%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR GOVERNMENT, BY COUNTRY, 2019 & 2027(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR ENERGY & UTILITIES, BY COUNTRY, 2019 & 2027(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR TRANSPORTATION, BY COUNTRY, 2019 & 2027(%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR RETAIL AND ECOMMERCE, BY COUNTRY,  2019 & 2027(%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR IT & TELECOM, BY COUNTRY, 2019 & 2027(%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR EDUCATION, BY COUNTRY, 2019 & 2027(%)
FIGURE 33.COMPARATIVE SHARE ANALYSIS DATA EXTRACTION MARKET FOR OTHERS, BY COUNTRY, 2019 & 2027(%)
FIGURE 34.U.S. DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 35.CANADA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 36.UK DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 37.GERMANY DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 38.FRANCE DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 39.ITALY DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 40.SPAIN DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 41.RUSSIA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 42.REST OF EUROPE DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 43.CHINA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 44.INDIA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 45.JAPAN DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 46.AUSTRALIA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 47.SINGAPORE DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 48.SOUTH KOREA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 49.REST OF ASIA-PACIFIC DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 50.LATIN AMERICA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 51.MIDDLE EAST DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 52.AFRICA DATA EXTRACTION MARKET REVENUE, 2019-2027 ($MILLION)
FIGURE 54.ALTERYX, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 55.ALTERYX, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 56.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 57.SAP SE: REVENUE, 2017–2019 ($MILLION)
FIGURE 58.ALTAIR ENGINEERING INC.: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 59.ALTAIR ENGINEERING INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 60.FAIR ISAAC CORPORATION: KEY EXECUTIVES
FIGURE 61.FAIR ISAAC CORPORATION: R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 62.FAIR ISAAC CORPORATION: REVENUE, 2017–2019 ($BILLION)
FIGURE 63.FAIR ISAAC CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 64.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 65.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 66.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 67.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 68.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 69.MICROSOFT CORPORATION : REVENUE, 2017–2019 ($MILLION)
FIGURE 70.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 71.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 72.MATILLION LTD: KEY EXECUTIVES
FIGURE 73.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 74.ORACLE CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 75.ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 76.ORACLE CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 77.SAS INSTITUTE INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 78.SAS INSTITUTE INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 79.R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 80.SAP SE: REVENUE, 2017–2019 ($MILLION)
FIGURE 81.SAP SE: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 82.SAP SE: REVENUE SHARE BY REGION, 2019 (%)

 
 

The adoption of data extraction is increasing, 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 extraction provides various advantages such as providing advance security to confidential information and increasing the safety of data from various cyberattacks. Furthermore, increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data extraction drives the growth of the market. In addition, growth of edge computing solutions fuels the growth of the market. However, reluctance to shift from traditional ETL tools to advance automated tools hampers the growth of the market. Furthermore, increase in regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in the future

The data extraction market is consolidated with the presence of key vendors such as IBM Corporation. North America and Europe are the prime users of data extraction technology. However, Asia-Pacific is expected to experience significant growth in the near future, owing to increase in adoption of IoT devices and rapid adoption of smart cities in the emerging countries of Asia-Pacific. Some of the key players profiled in the report include Alteryx, Inc., Altair Engineering Inc., Fair Isaac Corporation, IBM Corporation, Microsoft Corporation, Matillion Ltd., Oracle Corporation, SAS Institute, Inc., SAP SE, and Teradata Corporation.

These players have adopted various strategies to increase their market penetration and strengthen their position in the industry. For instance, in June 2019, Alteryx launched Assisted Modeling, an interactive guide built into the Alteryx Platform to enable users to access the creation of machine learning models. It further enhances data analytics solutions of Alteryx. 
 

 

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Published in May 2019

E-Axle Market

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