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