Market Overview:
The global data extraction software tools market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for data extraction software tools from SMEs and large organizations across different regions. Additionally, the growing trend of cloud-based deployment is also contributing to the growth of this market. However, lack of awareness about data extraction software tools among end users may restrain the growth of this market during the forecast period.
Product Definition:
Data Extraction Software Tools are used to extract data from a source, usually a document or database, into a format that can be used for further analysis or reporting. The tools can be used to extract data manually or automatically. The importance of Data Extraction Software Tools is that they allow organizations to efficiently and effectively collect information from documents and databases. This information can then be used for analysis, reporting, and decision-making purposes.
Web-Based:
The web-based software tools have been used extensively in the past few years for data extraction. The growth of this segment can be attributed to the growing need for automation and ease of use offered by these tools.
These are also known as online analytical processing or cloud-based software, which means that they are hosted on a remote server rather than being installed locally on computer systems.
Installed:
Installed products are the software and tools that are pre-installed in the data extraction software. It includes a wide range of features such as data transformation, cleansing, enriching and loading; it also provides an interface to integrate with other systems. The extracted information can be used for various purposes such as reporting, dashboards & scorecards or for predictive analytics.
Application Insights:
The Small and Medium-sized Enterprises (SMEs) segment held the largest share of over 60.0% in 2017. The data extraction tools are widely used by SMEs as they offer easy to use, flexible and cost-effective solutions for data management. A large number of small businesses lack skilled employees with knowledge about computer systems and software applications, which leads to under utilization of IT resources at a high cost to the company. Thus, web-based or installed data extraction software tools offered by vendors help in reducing costs while improving productivity by automating tedious tasks such as scanning documents/files for digital information or entering information from paper forms into databases.
The Large Organization segment is expected register a CAGR of XX% from 2018 to 2030 owing majorly due to increasing adoption across public sector organizations (PSOs).
Regional Analysis:
North America dominated the global data extraction software tools market in 2017. North America has a large number of small and medium enterprises (SMEs) that use data extraction software to manage their accounting, human resource, procurement and other related information. The U.S., in particular, is one of the largest markets for these tools as there are several large organizations based there that need to extract data from multiple sources and store it somewhere else for later analysis or reporting purposes.
Asia Pacific is expected to be the fastest-growing regional market over the forecast period owing to increasing adoption by SMEs operating in China and India as well as government initiatives encouraging startups & new businesses within these countries.
Growth Factors:
- Increasing demand for data-driven decision making: The need for extracting value from data is increasing as businesses strive to become more data-driven. Data extraction software tools help make this possible by quickly and easily extracting the relevant information from large datasets. This allows businesses to gain insights that can help them make better decisions and improve their performance.
- Growing volume of big data: The volume of big data is growing at an unprecedented rate, and this is creating a greater need for efficient tools for extracting value from it. Data extraction software helps organizations deal with the complexity of big data by allowing them to quickly identify and extract the most important information hidden within it.
- Proliferation of cloud computing: Cloud computing is making it easier than ever before to access and analyze large amounts of data, thanks to its ability to provide scalability and flexibility on demand. Data extraction software that runs in the cloud can take advantage of these benefits, helping businesses get more out of their big data investments.
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Extraction Software Tools Market Research Report
By Type
Web-Based, Installed
By Application
SMEs, Large Organization
By Companies
Octopus Data, Softomotive, Hubdoc, Salestools.io, Datahut, Diggernaut, User Friendly Consulting, Talend, SysNucleus, Connotate, Innowera, HelpSystems, DataTool, PromptCloud, CrawlMonster, Spinn3r, Kofax, Altair Monarch, Webhose.io, Diffbot, Scrapinghub, Docparser, Parseur.com, import.io, ReportMiner
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
159
Number of Tables & Figures
112
Customization Available
Yes, the report can be customized as per your need.
Global Data Extraction Software Tools Market Report Segments:
The global Data Extraction Software Tools market is segmented on the basis of:
Types
Web-Based, Installed
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
SMEs, Large Organization
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Octopus Data
- Softomotive
- Hubdoc
- Salestools.io
- Datahut
- Diggernaut
- User Friendly Consulting
- Talend
- SysNucleus
- Connotate
- Innowera
- HelpSystems
- DataTool
- PromptCloud
- CrawlMonster
- Spinn3r
- Kofax
- Altair Monarch
- Webhose.io
- Diffbot
- Scrapinghub
- Docparser
- Parseur.com
- import.io
- ReportMiner
Highlights of The Data Extraction Software Tools Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Web-Based
- Installed
- By Application:
- SMEs
- Large Organization
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Extraction Software Tools Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data extraction software tools are used to extract data from different sources, such as text files, databases, and web pages. This data can then be organized and analyzed for insights.
Some of the major companies in the data extraction software tools market are Octopus Data, Softomotive, Hubdoc, Salestools.io, Datahut, Diggernaut, User Friendly Consulting, Talend, SysNucleus, Connotate, Innowera, HelpSystems, DataTool, PromptCloud, CrawlMonster, Spinn3r, Kofax, Altair Monarch, Webhose.io, Diffbot, Scrapinghub, Docparser, Parseur.com, import.io, ReportMiner.
The data extraction software tools market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Extraction Software Tools Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Data Extraction Software Tools Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Data Extraction Software Tools Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Data Extraction Software Tools Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Data Extraction Software Tools Market Size & Forecast, 2018-2028 4.5.1 Data Extraction Software Tools Market Size and Y-o-Y Growth 4.5.2 Data Extraction Software Tools Market Absolute $ Opportunity
Chapter 5 Global Data Extraction Software Tools Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data Extraction Software Tools Market Size Forecast by Type
5.2.1 Web-Based
5.2.2 Installed
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Extraction Software Tools Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data Extraction Software Tools Market Size Forecast by Applications
6.2.1 SMEs
6.2.2 Large Organization
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Extraction Software Tools Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Extraction Software Tools Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data Extraction Software Tools Analysis and Forecast
9.1 Introduction
9.2 North America Data Extraction Software Tools Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data Extraction Software Tools Market Size Forecast by Type
9.6.1 Web-Based
9.6.2 Installed
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data Extraction Software Tools Market Size Forecast by Applications
9.10.1 SMEs
9.10.2 Large Organization
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data Extraction Software Tools Analysis and Forecast
10.1 Introduction
10.2 Europe Data Extraction Software Tools Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data Extraction Software Tools Market Size Forecast by Type
10.6.1 Web-Based
10.6.2 Installed
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data Extraction Software Tools Market Size Forecast by Applications
10.10.1 SMEs
10.10.2 Large Organization
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data Extraction Software Tools Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Extraction Software Tools Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data Extraction Software Tools Market Size Forecast by Type
11.6.1 Web-Based
11.6.2 Installed
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data Extraction Software Tools Market Size Forecast by Applications
11.10.1 SMEs
11.10.2 Large Organization
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data Extraction Software Tools Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Extraction Software Tools Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data Extraction Software Tools Market Size Forecast by Type
12.6.1 Web-Based
12.6.2 Installed
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data Extraction Software Tools Market Size Forecast by Applications
12.10.1 SMEs
12.10.2 Large Organization
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data Extraction Software Tools Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Extraction Software Tools Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data Extraction Software Tools Market Size Forecast by Type
13.6.1 Web-Based
13.6.2 Installed
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data Extraction Software Tools Market Size Forecast by Applications
13.10.1 SMEs
13.10.2 Large Organization
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Extraction Software Tools Market: Competitive Dashboard
14.2 Global Data Extraction Software Tools Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Octopus Data
14.3.2 Softomotive
14.3.3 Hubdoc
14.3.4 Salestools.io
14.3.5 Datahut
14.3.6 Diggernaut
14.3.7 User Friendly Consulting
14.3.8 Talend
14.3.9 SysNucleus
14.3.10 Connotate
14.3.11 Innowera
14.3.12 HelpSystems
14.3.13 DataTool
14.3.14 PromptCloud
14.3.15 CrawlMonster
14.3.16 Spinn3r
14.3.17 Kofax
14.3.18 Altair Monarch
14.3.19 Webhose.io
14.3.20 Diffbot
14.3.21 Scrapinghub
14.3.22 Docparser
14.3.23 Parseur.com
14.3.24 import.io
14.3.25 ReportMiner