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Global Data Extraction Software Market is valued approximately at USD 9.2 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 5.1% over the forecast period 2020-2027. Data extraction is a technique of extracting and discovering idea in data implicit in a large data warehouse, thus helping organization to make better business decisions and strategy formulation. For handling huge amount of data, and to apply interesting data extraction algorithms and visualizations in quick time, various organizations are adopting this technique. The growing demand of artificial intelligence and machine learning technologies and rise in digital transformation across industries such as process manufacturing, banking, professional services and federal/central government and business processes are the few factors responsible for growth of the market over the forecast period. Further the increasing adoption of big data solutions, and usage of business analytics in the organizations to better understand customers, will drive the demand for data extraction software market. Moreover, the introduction of products and services as well as other strategic alliance by market key players will create a lucrative demand for this market. For instance: on 21st May 2020, SAS launched visual text analysis environment based on artificial intelligence (AI) and machine learning to quickly extract and identify tens of thousands of research articles on COVID-19 and deliver answers to scientists. However, changing government rules, regulations, and policies is the major factor restraining the growth of global Data Extraction Software market during the forecast period.
The regional analysis of global Data Extraction Software market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world owing to the rising demand for technologically advanced business intelligence tools, increasing trend of BYOD (Bring-your-own-devices) in multiple organizations and the growth of mobile devices and apps. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027.
Major market player included in this report are:
IBM Corporation
SAS
RapidMiner, Inc
KNIME AG
MathWorks, Inc.
Alteryx
Angoss Software Corporation
SAP SE
Oracle Corporation
Fair Isaac Corporation
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Tools
Services
By Organization Type:
Large Enterprises
Small and Medium Enterprises
By Deployment Type:
On-premises
Cloud-based
By Vertical:
Banking, Financial Services, and Insurance (BFSI)
Retail
IT & Telecommunication
Medical & Healthcare
Manufacturing
Government and Public Sector
others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027
Target Audience of the Global Data Extraction Software Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
1.2.1. Data Extraction Software Market, by Region, 2018-2027 (USD Billion)
1.2.2. Data Extraction Software Market, by Component, 2018-2027 (USD Billion)
1.2.3. Data Extraction Software Market, by Organization Type, 2018-2027 (USD Billion)
1.2.4. Data Extraction Software Market, by Deployment Type, 2018-2027 (USD Billion)
1.2.5. Data Extraction Software Market, by Vertical, 2018-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Extraction Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Data Extraction Software Market Dynamics
3.1. Data Extraction Software Market Impact Analysis (2018-2027)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Data Extraction Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2017-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Data Extraction Software Market, by Component
5.1. Market Snapshot
5.2. Global Data Extraction Software Market by Component, Performance – Potential Analysis
5.3. Global Data Extraction Software Market Estimates & Forecasts by Component 2017-2027 (USD Billion)
5.4. Data Extraction Software Market, Sub Segment Analysis
5.4.1. Tools
5.4.2. Services
Chapter 6. Global Data Extraction Software Market, by Organization Type
6.1. Market Snapshot
6.2. Global Data Extraction Software Market by Organization Type, Performance – Potential Analysis
6.3. Global Data Extraction Software Market Estimates & Forecasts by Organization Type 2017-2027 (USD Billion)
6.4. Data Extraction Software Market, Sub Segment Analysis
6.4.1. Large Enterprises
6.4.2. Small and Medium Enterprises
Chapter 7. Global Data Extraction Software Market, by Deployment Type
7.1. Market Snapshot
7.2. Global Data Extraction Software Market by Deployment Type, Performance – Potential Analysis
7.3. Global Data Extraction Software Market Estimates & Forecasts by Deployment Type 2017-2027 (USD Billion)
7.4. Data Extraction Software Market, Sub Segment Analysis
7.4.1. On-premises
7.4.2. Cloud-based
Chapter 8. Global Data Extraction Software Market, by Vertical
8.1. Market Snapshot
8.2. Global Data Extraction Software Market by Vertical, Performance – Potential Analysis
8.3. Global Data Extraction Software Market Estimates & Forecasts by Vertical 2017-2027 (USD Billion)
8.4. Data Extraction Software Market, Sub Segment Analysis
8.4.1. Banking, Financial Services, and Insurance (BFSI)
8.4.2. Retail
8.4.3. IT & Telecommunication
8.4.4. Medical & Healthcare
8.4.5. Manufacturing
8.4.6. Government and Public Sector
8.4.7. others
Chapter 9. Global Data Extraction Software Market, Regional Analysis
9.1. Data Extraction Software Market, Regional Market Snapshot
9.2. North America Data Extraction Software Market
9.2.1.1. U.S. Data Extraction Software Market
9.2.1.2. Component breakdown estimates & forecasts, 2017-2027
9.2.1.3. Organization Type breakdown estimates & forecasts, 2017-2027
9.2.1.4. Deployment Type breakdown estimates & forecasts, 2017-2027
9.2.1.5. Vertical breakdown estimates & forecasts, 2017-2027
9.2.2. Canada Data Extraction Software Market
9.3. Europe Data Extraction Software Market Snapshot
9.3.1. U.K. Data Extraction Software Market
9.3.2. Germany Data Extraction Software Market
9.3.3. France Data Extraction Software Market
9.3.4. Spain Data Extraction Software Market
9.3.5. Italy Data Extraction Software Market
9.3.6. Rest of Europe Data Extraction Software Market
9.4. Asia-Pacific Data Extraction Software Market Snapshot
9.4.1. China Data Extraction Software Market
9.4.2. India Data Extraction Software Market
9.4.3. Japan Data Extraction Software Market
9.4.4. Australia Data Extraction Software Market
9.4.5. South Korea Data Extraction Software Market
9.4.6. Rest of Asia Pacific Data Extraction Software Market
9.5. Latin America Data Extraction Software Market Snapshot
9.5.1. Brazil Data Extraction Software Market
9.5.2. Mexico Data Extraction Software Market
9.6. Rest of The World Data Extraction Software Market
Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. IBM Corporation
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. SAS
10.2.3. RapidMiner, Inc
10.2.4. KNIME AG
10.2.5. MathWorks, Inc.
10.2.6. Alteryx
10.2.7. Angoss Software Corporation
10.2.8. SAP SE
10.2.9. Oracle Corporation
10.2.10. Fair Isaac Corporation
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption
The study of the market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geographies to provide a better regional outlook. In the report, country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. Our analysts contact company executives, managers, key opinion leaders, and industry experts. This enables our analyst to derive the closest possible figures without any major deviations in the actual number.
Primary Research Sources:
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