• 2023-03-24
    Last Updated
  • 200
    Pages

Data Mining Software Market - Forecast(2022 - 2030)

DESCRIPTION
TABLE OF CONTENT

Data Mining Software Market study by “marketreports.info” provides details about the market dynamics affecting the market, Market scope, Market segmentation and overlays shadow upon the leading market players highlighting the favorable competitive landscape by top major IBM [United States], RapidMiner [United States], GMDH [United States], SAS Institute [United States], Oracle [United States], Apteco [United Kingdom], University of Ljubljana [Slovenia], Salford Systems [United States], Lexalytics [United States], Intel [United States], SAP SE [Germany], KNIME [Switzerland], Teradata [United States], MathWorks [United States], H2O.ai [United States], Alteryx [United States], FICO [United States], Angoss [Canada], Salford Systems [United States], BlueGranite [United States], Megaputer [United States], Biomax Informatics [Germany], Frontline Systems [United States], Dataiku [France], Wolfram [United States], Reltio [United States], SenticNet [Singapore], Business Insight [Belgium], SunTec India [Delhi] and trends prevailing over the years.

The research report provides deep insights into the global market revenue, parent market trends, macro-economic indicators, and governing factors, along with market attractiveness per market segment. The report provides an overview of the growth rate of the Data Mining Software market during the forecast period, i.e., 2022–2030. Most importantly, the report further identifies the qualitative impact of various market factors on market segments and geographies. The research segments the market to offer more clarity regarding the industry, the report takes a closer look at the current status of various factors including but not limited to supply chain management, niche markets, distribution channel, trade, supply, and demand and production capability across different countries.

The Data Mining Software report profiles the key players in the industry, along with a detailed analysis of their individual positions against the global landscape. The study conducts SWOT analysis to evaluate strengths and weaknesses of the key players IBM [United States], RapidMiner [United States], GMDH [United States], SAS Institute [United States], Oracle [United States], Apteco [United Kingdom], University of Ljubljana [Slovenia], Salford Systems [United States], Lexalytics [United States], Intel [United States], SAP SE [Germany], KNIME [Switzerland], Teradata [United States], MathWorks [United States], H2O.ai [United States], Alteryx [United States], FICO [United States], Angoss [Canada], Salford Systems [United States], BlueGranite [United States], Megaputer [United States], Biomax Informatics [Germany], Frontline Systems [United States], Dataiku [France], Wolfram [United States], Reltio [United States], SenticNet [Singapore], Business Insight [Belgium], SunTec India [Delhi] in the Data Mining Software market. The researcher provides an extensive analysis of the Data Mining Software market size, share, trends, overall earnings, gross revenue, and profit margin to accurately draw a forecast and provide expert insights to investors to keep them updated with the trends in the market.

(*If you have any special requirements, please let us know and we will offer you the report as you want.)

Competitive scenario:

The Data Mining Software study assesses factors such as segmentation, description, and applications of Data Mining Software industries. It derives accurate insights to give a holistic view of the dynamic features of the business, including shares, profit generation, thereby directing focus on the critical aspects of the business.

The final report will add the analysis of the Impact of Covid-19 in this Data Mining Software report Market.

Adapting to the recent novel COVID-19 pandemic, the impact of the COVID-19 pandemic on the global Data Mining Software Market is included in the present report. The influence of the novel coronavirus pandemic on the growth of the Data Mining Software Market is analyzed and depicted in the report.

Some of the companies competing in the Data Mining Software Market are 

IBM [United States], RapidMiner [United States], GMDH [United States], SAS Institute [United States], Oracle [United States], Apteco [United Kingdom], University of Ljubljana [Slovenia], Salford Systems [United States], Lexalytics [United States], Intel [United States], SAP SE [Germany], KNIME [Switzerland], Teradata [United States], MathWorks [United States], H2O.ai [United States], Alteryx [United States], FICO [United States], Angoss [Canada], Salford Systems [United States], BlueGranite [United States], Megaputer [United States], Biomax Informatics [Germany], Frontline Systems [United States], Dataiku [France], Wolfram [United States], Reltio [United States], SenticNet [Singapore], Business Insight [Belgium], SunTec India [Delhi]

By Application
Financial Data Analysis
Retail Industry
Telecommunication Industry
Biological Data Analysis
Other Scientific Applications
Intrusion Detection

By Services
Managed services
Consulting and implementation
Others (Support and Maintenance
Training and Education)

By Enterprise Size
Large Enterprises
Small and Medium-Sized Enterprises

By Deployment Type
On-premises
Cloud

By Industry Vertical
Retail
Banking, Financial Services, and Insurance (BFSI)
Healthcare and life sciences
Telecom and IT
Government and defense
Energy and Utilities
Manufacturing
Others (Education, and Media and Entertainment)

Segmentation

The Data Mining Software Market has been segmented on the basis of different aspects. The market is also segmented according to region. The Data Mining Software Market has been segmented into Latin America, North America, Asia Pacific, Europe, and the Middle East & Africa on the basis of region

Research Methodology

The Data Mining Software report has its roots definitely set in thorough strategies provided by the proficient data analysts. The research methodology involves the collection of information by analysts only to have them studied and filtered thoroughly in an attempt to provide significant predictions about the market over the review period. The Data Mining Software research process further includes interviews with leading market influencers, which makes the primary research relevant and practical. The secondary method gives a direct peek into the demand and supply connection specifically into Data Mining Software market. The Data Mining Software market methodologies adopted in the report offer precise data analysis and provides a tour of the entire market. Both primary and secondary approaches to data collection have been used. In addition to these, publicly available sources such as SEC filings, annual reports, and white papers have been used by data analysts for an insightful understanding of the Data Mining Software market. The research methodology clearly reflects an intent to extract a comprehensive view of the market by having it analyzed against many parameters. The valued inputs enhance the Data Mining Software report and offer an edge over the peers.

Drivers & Constraints

The Data Mining Software Market rests united with the incidence of leading top IBM [United States], RapidMiner [United States], GMDH [United States], SAS Institute [United States], Oracle [United States], Apteco [United Kingdom], University of Ljubljana [Slovenia], Salford Systems [United States], Lexalytics [United States], Intel [United States], SAP SE [Germany], KNIME [Switzerland], Teradata [United States], MathWorks [United States], H2O.ai [United States], Alteryx [United States], FICO [United States], Angoss [Canada], Salford Systems [United States], BlueGranite [United States], Megaputer [United States], Biomax Informatics [Germany], Frontline Systems [United States], Dataiku [France], Wolfram [United States], Reltio [United States], SenticNet [Singapore], Business Insight [Belgium], SunTec India [Delhi] players who keep funding to the market’s growth significantly every year. The report studies the value, volume trends, and the pricing structure of the market so that it could predict maximum growth in the future. Besides, various suppressed growth factors, restraints, and opportunities are also estimated for the advanced study and suggestions of the market over the assessment period.

Data Mining Software Market Segmented by Region/Country: North America, Europe, Asia Pacific, Middle East & Africa, and Central & South America

Thanks for reading this release; you can also customize this report to get select chapters or region-wise coverage with regions such as Asia, North America, and Europe.

Chapter 1 Global Data Mining Software Market Overview

1.1 Introduction
1.2 Taxonomy
1.2.1 By Product Type & End User
1.2.2 By Region
1.3 Drivers for Data Mining Software Market
1.4 Restraints for Data Mining Software Market
1.5 Opportunities for Data Mining Software Market
1.6 Trends for Data Mining Software Market
1.7 COVID-19 Impact Assessment on Data Mining Software Industry
1.8 Macro-economic Factors
1.9 Regulatory Framework
1.10 Pricing Analysis by Region, 2020
1.11 Opportunity Map Analysis
1.12 Opportunity Orbits
1.13 Market Investment Feasibility Index
1.14 PEST Analysis
1.15 PORTERS Five Force Analysis
1.16 Go to Market Strategy
1.17 Value Chain Analysis
1.18 Cost Structure Analysis
1.19 Regional Market Share and BPS Analysis

Chapter 2 Global Data Mining Software Market Overview

2.1 Global Data Mining Software Market by Product Type
2.1.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2029)
2.1.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Product Type in 2019
2.1.3 Global Data Mining Software Market Attractiveness Analysis by Product Type, (2013-2020)
2.2 Global Data Mining Software Market by End User
2.2.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2029)
2.2.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by End User in 2019
2.2.3 Global Data Mining Software Market Attractiveness Analysis by End User, (2013-2020)
2.3 Global Data Mining Software Market by Region
2.3.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2029)
2.3.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Region in 2019
2.3.3 Global Data Mining Software Market Attractiveness Analysis by Region, (2013-2020)
2.4 Global Data Mining Software Market Outlook (2013-2029)
2.4.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) (2013-2020)
2.4.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) (2021-2029)
2.5 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) by Regions
2.5.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2020)
2.5.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2021-2029)
2.6 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) by Product Type
2.6.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2020)
2.6.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2021-2029)
2.7 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) by End User
2.7.1 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2020)
2.7.2 Global Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2021-2029)
2.8 Global Data Mining Software Market Y-o-Y Growth Rate Comparison (2014-2029)
2.8.1 Global Data Mining Software Market Y-o-Y Growth Rate by Region
2.8.2 Global Data Mining Software Market Y-o-Y Growth Rate by Product Type
2.8.3 Global Data Mining Software Market Y-o-Y Growth Rate by End User
2.9 Global Data Mining Software Market Share Comparison (2013-2029)
2.9.1 Global Data Mining Software Market Share by Region
2.9.2 Global Data Mining Software Market Share by Product Type
2.9.3 Global Data Mining Software Market Share by End User

Chapter 3 North America Data Mining Software Market Overview

3.1 North America Data Mining Software Market by Product Type
3.1.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2029)
3.1.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Product Type in 2019
3.1.3 North America Data Mining Software Market Attractiveness Analysis by Product Type, (2013-2020)
3.2 North America Data Mining Software Market by End User
3.2.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2029)
3.2.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by End User in 2019
3.2.3 North America Data Mining Software Market Attractiveness Analysis by End User, (2013-2020)
3.3 North America Data Mining Software Market by Region
3.3.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2029)
3.3.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Region in 2019
3.3.3 North America Data Mining Software Market Attractiveness Analysis by Region, (2013-2020)
3.4 North America Data Mining Software Market Outlook (2013-2029)
3.4.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) (2013-2020)
3.4.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) (2021-2029)
3.5 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) by Regions
3.5.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2020)
3.5.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2021-2029)
3.6 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) by Product Type
3.6.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2020)
3.6.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2021-2029)
3.7 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) by End User
3.7.1 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2020)
3.7.2 North America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2021-2029)
3.8 North America Data Mining Software Market Y-o-Y Growth Rate Comparison (2014-2029)
3.8.1 North America Data Mining Software Market Y-o-Y Growth Rate by Region
3.8.2 North America Data Mining Software Market Y-o-Y Growth Rate by Product Type
3.8.3 North America Data Mining Software Market Y-o-Y Growth Rate by End User
3.9 North America Data Mining Software Market Share Comparison (2013-2029)
3.9.1 North America Data Mining Software Market Share by Region
3.9.2 North America Data Mining Software Market Share by Product Type
3.9.3 North America Data Mining Software Market Share by End User

Chapter 4 Europe Data Mining Software Market Overview

4.1 Europe Data Mining Software Market by Product Type
4.1.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2029)
4.1.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Product Type in 2019
4.1.3 Europe Data Mining Software Market Attractiveness Analysis by Product Type, (2013-2020)
4.2 Europe Data Mining Software Market by End User
4.2.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2029)
4.2.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by End User in 2019
4.2.3 Europe Data Mining Software Market Attractiveness Analysis by End User, (2013-2020)
4.3 Europe Data Mining Software Market by Region
4.3.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2029)
4.3.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Region in 2019
4.3.3 Europe Data Mining Software Market Attractiveness Analysis by Region, (2013-2020)
4.4 Europe Data Mining Software Market Outlook (2013-2029)
4.4.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) (2013-2020)
4.4.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) (2021-2029)
4.5 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) by Regions
4.5.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2020)
4.5.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2021-2029)
4.6 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) by Product Type
4.6.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2020)
4.6.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2021-2029)
4.7 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) by End User
4.7.1 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2020)
4.7.2 Europe Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2021-2029)
4.8 Europe Data Mining Software Market Y-o-Y Growth Rate Comparison (2014-2029)
4.8.1 Europe Data Mining Software Market Y-o-Y Growth Rate by Region
4.8.2 Europe Data Mining Software Market Y-o-Y Growth Rate by Product Type
4.8.3 Europe Data Mining Software Market Y-o-Y Growth Rate by End User
4.9 Europe Data Mining Software Market Share Comparison (2013-2029)
4.9.1 Europe Data Mining Software Market Share by Region
4.9.2 Europe Data Mining Software Market Share by Product Type
4.9.3 Europe Data Mining Software Market Share by End User

Chapter 5 Asia Pacific Data Mining Software Market Overview

5.1 Asia Pacific Data Mining Software Market by Product Type
5.1.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2029)
5.1.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Product Type in 2019
5.1.3 Asia Pacific Data Mining Software Market Attractiveness Analysis by Product Type, (2013-2020)
5.2 Asia Pacific Data Mining Software Market by End User
5.2.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2029)
5.2.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by End User in 2019
5.2.3 Asia Pacific Data Mining Software Market Attractiveness Analysis by End User, (2013-2020)
5.3 Asia Pacific Data Mining Software Market by Region
5.3.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2029)
5.3.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Region in 2019
5.3.3 Asia Pacific Data Mining Software Market Attractiveness Analysis by Region, (2013-2020)
5.4 Asia Pacific Data Mining Software Market Outlook (2013-2029)
5.4.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) (2013-2020)
5.4.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) (2021-2029)
5.5 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) by Regions
5.5.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2020)
5.5.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2021-2029)
5.6 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) by Product Type
5.6.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2020)
5.6.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2021-2029)
5.7 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) by End User
5.7.1 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2020)
5.7.2 Asia Pacific Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2021-2029)
5.8 Asia Pacific Data Mining Software Market Y-o-Y Growth Rate Comparison (2014-2029)
5.8.1 Asia Pacific Data Mining Software Market Y-o-Y Growth Rate by Region
5.8.2 Asia Pacific Data Mining Software Market Y-o-Y Growth Rate by Product Type
5.8.3 Asia Pacific Data Mining Software Market Y-o-Y Growth Rate by End User
5.9 Asia Pacific Data Mining Software Market Share Comparison (2013-2029)
5.9.1 Asia Pacific Data Mining Software Market Share by Region
5.9.2 Asia Pacific Data Mining Software Market Share by Product Type
5.9.3 Asia Pacific Data Mining Software Market Share by End User

Chapter 6 South America Data Mining Software Market Overview

6.1 South America Data Mining Software Market by Product Type
6.1.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2029)
6.1.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Product Type in 2019
6.1.3 South America Data Mining Software Market Attractiveness Analysis by Product Type, (2013-2020)
6.2 South America Data Mining Software Market by End User
6.2.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2029)
6.2.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by End User in 2019
6.2.3 South America Data Mining Software Market Attractiveness Analysis by End User, (2013-2020)
6.3 South America Data Mining Software Market by Region
6.3.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2029)
6.3.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Region in 2019
6.3.3 South America Data Mining Software Market Attractiveness Analysis by Region, (2013-2020)
6.4 South America Data Mining Software Market Outlook (2013-2029)
6.4.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) (2013-2020)
6.4.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) (2021-2029)
6.5 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) by Regions
6.5.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2020)
6.5.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2021-2029)
6.6 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) by Product Type
6.6.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2020)
6.6.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2021-2029)
6.7 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) by End User
6.7.1 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2020)
6.7.2 South America Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2021-2029)
6.8 South America Data Mining Software Market Y-o-Y Growth Rate Comparison (2014-2029)
6.8.1 South America Data Mining Software Market Y-o-Y Growth Rate by Region
6.8.2 South America Data Mining Software Market Y-o-Y Growth Rate by Product Type
6.8.3 South America Data Mining Software Market Y-o-Y Growth Rate by End User
6.9 South America Data Mining Software Market Share Comparison 2013-2029
6.9.1 South America Data Mining Software Market Share by Region
6.9.2 South America Data Mining Software Market Share by Product Type
6.9.3 South America Data Mining Software Market Share by End User

Chapter 7 MEA Data Mining Software Market Overview

7.1 MEA Data Mining Software Market by Product Type
7.1.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2029)
7.1.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Product Type in 2019
7.1.3 MEA Data Mining Software Market Attractiveness Analysis by Product Type, (2013-2020)
7.2 MEA Data Mining Software Market by End User
7.2.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2029)
7.2.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by End User in 2019
7.2.3 MEA Data Mining Software Market Attractiveness Analysis by End User, (2013-2020)
7.3 MEA Data Mining Software Market by Region
7.3.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2029)
7.3.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Market Share by Region in 2019
7.3.3 MEA Data Mining Software Market Attractiveness Analysis by Region, (2013-2020)
7.4 MEA Data Mining Software Market Outlook (2013-2029)
7.4.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) (2013-2020)
7.4.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) (2021-2029)
7.5 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) by Regions
7.5.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2013-2020)
7.5.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Region (2021-2029)
7.6 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) by Product Type
7.6.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2013-2020)
7.6.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by Product Type (2021-2029)
7.7 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) by End User
7.7.1 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2013-2020)
7.7.2 MEA Data Mining Software Market Value (US$ Mn) and Volume (Units) Comparison by End User (2021-2029)
7.8 MEA Data Mining Software Market Y-o-Y Growth Rate Comparison (2014-2029)
7.8.1 MEA Data Mining Software Market Y-o-Y Growth Rate by Region
7.8.2 MEA Data Mining Software Market Y-o-Y Growth Rate by Product Type
7.8.3 MEA Data Mining Software Market Y-o-Y Growth Rate by End User
7.9 MEA Data Mining Software Market Share Comparison (2013-2029)
7.9.1 MEA Data Mining Software Market Share by Region
7.9.2 MEA Data Mining Software Market Share by Product Type
7.9.3 MEA Data Mining Software Market Share by End User

Chapter 8 Global Data Mining Software Market Company Profiles

8.1 Market Competition Scenario Analysis, By Company
8.2 Competitor Landscape
8.3 Company Share Analysis
8.4 Company Profiles
8.4.1 Company
8.4.1.1 Company Overview
8.4.1.2 Business Description
8.4.1.3 Product Portfolio
8.4.1.4 Key Financials
8.4.1.5 Key Developments
8.4.1.6 SWOT Analysis

Companies Included:
IBM [United States]
RapidMiner [United States]
GMDH [United States]
SAS Institute [United States]
Oracle [United States]
Apteco [United Kingdom]
University of Ljubljana [Slovenia]
Salford Systems [United States]
Lexalytics [United States]
Intel [United States]
SAP SE [Germany]
KNIME [Switzerland]
Teradata [United States]
MathWorks [United States]
H2O.ai [United States]
Alteryx [United States]
FICO [United States]
Angoss [Canada]
Salford Systems [United States]
BlueGranite [United States]
Megaputer [United States]
Biomax Informatics [Germany]
Frontline Systems [United States]
Dataiku [France]
Wolfram [United States]
Reltio [United States]
SenticNet [Singapore]
Business Insight [Belgium]
SunTec India [Delhi]

Chapter 9 Methodology and Data Source

9.1 Research Approach/ Methodology
9.2 Market Size Estimation
9.3 Market Breakdown and Data Triangulation
9.4 Data Source
9.4.1 Secondary Sources
9.4.2 Primary Sources

Licensing Options

One User
$3900
Enterprise User
$7800