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Global Data Mining Software Market Research Report 2024
Synopsis
Data Mining Software is software that helps analysts to use the intersection of artificial intelligence, machine learning, statistics, and databases to mine data values in relatively large data sets.
The global Data Mining Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Data Mining Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Mining Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Data Mining Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Data Mining Software include SAS, IBM, Symbrium, Coheris, Expert System, Apteco, Megaputer Intelligence, Mozenda and GMDH, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Data Mining Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Mining Software.
Report Scope
The Data Mining Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Mining Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Mining Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
SAS
IBM
Symbrium
Coheris
Expert System
Apteco
Megaputer Intelligence
Mozenda
GMDH
Optymyze
RapidMiner
Salford Systems
Lexalytics
Semantic Web Company
Saturam
Segment by Type
Cloud-based
On-premises
Segment by Application
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data Mining Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Data Mining Software is software that helps analysts to use the intersection of artificial intelligence, machine learning, statistics, and databases to mine data values in relatively large data sets.
The global Data Mining Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Data Mining Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Mining Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Data Mining Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Data Mining Software include SAS, IBM, Symbrium, Coheris, Expert System, Apteco, Megaputer Intelligence, Mozenda and GMDH, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Data Mining Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Mining Software.
Report Scope
The Data Mining Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Mining Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Mining Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
SAS
IBM
Symbrium
Coheris
Expert System
Apteco
Megaputer Intelligence
Mozenda
GMDH
Optymyze
RapidMiner
Salford Systems
Lexalytics
Semantic Web Company
Saturam
Segment by Type
Cloud-based
On-premises
Segment by Application
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data Mining Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Mining Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Data Mining Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 Small and Medium-sized Enterprises (SMEs)
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Mining Software Market Perspective (2019-2030)
2.2 Data Mining Software Growth Trends by Region
2.2.1 Global Data Mining Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Mining Software Historic Market Size by Region (2019-2024)
2.2.3 Data Mining Software Forecasted Market Size by Region (2025-2030)
2.3 Data Mining Software Market Dynamics
2.3.1 Data Mining Software Industry Trends
2.3.2 Data Mining Software Market Drivers
2.3.3 Data Mining Software Market Challenges
2.3.4 Data Mining Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Mining Software Players by Revenue
3.1.1 Global Top Data Mining Software Players by Revenue (2019-2024)
3.1.2 Global Data Mining Software Revenue Market Share by Players (2019-2024)
3.2 Global Data Mining Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Mining Software Revenue
3.4 Global Data Mining Software Market Concentration Ratio
3.4.1 Global Data Mining Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Mining Software Revenue in 2023
3.5 Data Mining Software Key Players Head office and Area Served
3.6 Key Players Data Mining Software Product Solution and Service
3.7 Date of Enter into Data Mining Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Mining Software Breakdown Data by Type
4.1 Global Data Mining Software Historic Market Size by Type (2019-2024)
4.2 Global Data Mining Software Forecasted Market Size by Type (2025-2030)
5 Data Mining Software Breakdown Data by Application
5.1 Global Data Mining Software Historic Market Size by Application (2019-2024)
5.2 Global Data Mining Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Mining Software Market Size (2019-2030)
6.2 North America Data Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Mining Software Market Size by Country (2019-2024)
6.4 North America Data Mining Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Mining Software Market Size (2019-2030)
7.2 Europe Data Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Mining Software Market Size by Country (2019-2024)
7.4 Europe Data Mining Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Mining Software Market Size (2019-2030)
8.2 Asia-Pacific Data Mining Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Mining Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Mining Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Mining Software Market Size (2019-2030)
9.2 Latin America Data Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Mining Software Market Size by Country (2019-2024)
9.4 Latin America Data Mining Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Mining Software Market Size (2019-2030)
10.2 Middle East & Africa Data Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Mining Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Mining Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 SAS
11.1.1 SAS Company Detail
11.1.2 SAS Business Overview
11.1.3 SAS Data Mining Software Introduction
11.1.4 SAS Revenue in Data Mining Software Business (2019-2024)
11.1.5 SAS Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Data Mining Software Introduction
11.2.4 IBM Revenue in Data Mining Software Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Symbrium
11.3.1 Symbrium Company Detail
11.3.2 Symbrium Business Overview
11.3.3 Symbrium Data Mining Software Introduction
11.3.4 Symbrium Revenue in Data Mining Software Business (2019-2024)
11.3.5 Symbrium Recent Development
11.4 Coheris
11.4.1 Coheris Company Detail
11.4.2 Coheris Business Overview
11.4.3 Coheris Data Mining Software Introduction
11.4.4 Coheris Revenue in Data Mining Software Business (2019-2024)
11.4.5 Coheris Recent Development
11.5 Expert System
11.5.1 Expert System Company Detail
11.5.2 Expert System Business Overview
11.5.3 Expert System Data Mining Software Introduction
11.5.4 Expert System Revenue in Data Mining Software Business (2019-2024)
11.5.5 Expert System Recent Development
11.6 Apteco
11.6.1 Apteco Company Detail
11.6.2 Apteco Business Overview
11.6.3 Apteco Data Mining Software Introduction
11.6.4 Apteco Revenue in Data Mining Software Business (2019-2024)
11.6.5 Apteco Recent Development
11.7 Megaputer Intelligence
11.7.1 Megaputer Intelligence Company Detail
11.7.2 Megaputer Intelligence Business Overview
11.7.3 Megaputer Intelligence Data Mining Software Introduction
11.7.4 Megaputer Intelligence Revenue in Data Mining Software Business (2019-2024)
11.7.5 Megaputer Intelligence Recent Development
11.8 Mozenda
11.8.1 Mozenda Company Detail
11.8.2 Mozenda Business Overview
11.8.3 Mozenda Data Mining Software Introduction
11.8.4 Mozenda Revenue in Data Mining Software Business (2019-2024)
11.8.5 Mozenda Recent Development
11.9 GMDH
11.9.1 GMDH Company Detail
11.9.2 GMDH Business Overview
11.9.3 GMDH Data Mining Software Introduction
11.9.4 GMDH Revenue in Data Mining Software Business (2019-2024)
11.9.5 GMDH Recent Development
11.10 Optymyze
11.10.1 Optymyze Company Detail
11.10.2 Optymyze Business Overview
11.10.3 Optymyze Data Mining Software Introduction
11.10.4 Optymyze Revenue in Data Mining Software Business (2019-2024)
11.10.5 Optymyze Recent Development
11.11 RapidMiner
11.11.1 RapidMiner Company Detail
11.11.2 RapidMiner Business Overview
11.11.3 RapidMiner Data Mining Software Introduction
11.11.4 RapidMiner Revenue in Data Mining Software Business (2019-2024)
11.11.5 RapidMiner Recent Development
11.12 Salford Systems
11.12.1 Salford Systems Company Detail
11.12.2 Salford Systems Business Overview
11.12.3 Salford Systems Data Mining Software Introduction
11.12.4 Salford Systems Revenue in Data Mining Software Business (2019-2024)
11.12.5 Salford Systems Recent Development
11.13 Lexalytics
11.13.1 Lexalytics Company Detail
11.13.2 Lexalytics Business Overview
11.13.3 Lexalytics Data Mining Software Introduction
11.13.4 Lexalytics Revenue in Data Mining Software Business (2019-2024)
11.13.5 Lexalytics Recent Development
11.14 Semantic Web Company
11.14.1 Semantic Web Company Company Detail
11.14.2 Semantic Web Company Business Overview
11.14.3 Semantic Web Company Data Mining Software Introduction
11.14.4 Semantic Web Company Revenue in Data Mining Software Business (2019-2024)
11.14.5 Semantic Web Company Recent Development
11.15 Saturam
11.15.1 Saturam Company Detail
11.15.2 Saturam Business Overview
11.15.3 Saturam Data Mining Software Introduction
11.15.4 Saturam Revenue in Data Mining Software Business (2019-2024)
11.15.5 Saturam Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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