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Synopsis
Global Data Mining Tools market is projected to reach US$ 903.7 million in 2029, increasing from US$ 555.3 million in 2022, with the CAGR of 6.7% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Data Mining Tools market research.
Key companies engaged in the Data Mining Tools industry include IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, H2O.ai, Intel and Alteryx, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Data Mining Tools were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Data Mining Tools market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Data Mining Tools market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company (Partial List)
Segment by Type
Segment by Application
Consumption by Region
Chapter Outline
The Data Mining Tools report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies' Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Mining Tools Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 On-premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global Data Mining Tools Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 BFSI
1.3.3 Healthcare and Life Sciences
1.3.4 Telecom and IT
1.3.5 Government and Defense
1.3.6 Energy and Utilities
1.3.7 Manufacturing
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Mining Tools Market Perspective (2018-2029)
2.2 Data Mining Tools Growth Trends by Region
2.2.1 Global Data Mining Tools Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data Mining Tools Historic Market Size by Region (2018-2023)
2.2.3 Data Mining Tools Forecasted Market Size by Region (2024-2029)
2.3 Data Mining Tools Market Dynamics
2.3.1 Data Mining Tools Industry Trends
2.3.2 Data Mining Tools Market Drivers
2.3.3 Data Mining Tools Market Challenges
2.3.4 Data Mining Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Mining Tools Players by Revenue
3.1.1 Global Top Data Mining Tools Players by Revenue (2018-2023)
3.1.2 Global Data Mining Tools Revenue Market Share by Players (2018-2023)
3.2 Global Data Mining Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Mining Tools Revenue
3.4 Global Data Mining Tools Market Concentration Ratio
3.4.1 Global Data Mining Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Mining Tools Revenue in 2022
3.5 Data Mining Tools Key Players Head office and Area Served
3.6 Key Players Data Mining Tools Product Solution and Service
3.7 Date of Enter into Data Mining Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Mining Tools Breakdown Data by Type
4.1 Global Data Mining Tools Historic Market Size by Type (2018-2023)
4.2 Global Data Mining Tools Forecasted Market Size by Type (2024-2029)
5 Data Mining Tools Breakdown Data by Application
5.1 Global Data Mining Tools Historic Market Size by Application (2018-2023)
5.2 Global Data Mining Tools Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data Mining Tools Market Size (2018-2029)
6.2 North America Data Mining Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data Mining Tools Market Size by Country (2018-2023)
6.4 North America Data Mining Tools Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Mining Tools Market Size (2018-2029)
7.2 Europe Data Mining Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data Mining Tools Market Size by Country (2018-2023)
7.4 Europe Data Mining Tools Market Size by Country (2024-2029)
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 Tools Market Size (2018-2029)
8.2 Asia-Pacific Data Mining Tools Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data Mining Tools Market Size by Region (2018-2023)
8.4 Asia-Pacific Data Mining Tools Market Size by Region (2024-2029)
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 Tools Market Size (2018-2029)
9.2 Latin America Data Mining Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data Mining Tools Market Size by Country (2018-2023)
9.4 Latin America Data Mining Tools Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Mining Tools Market Size (2018-2029)
10.2 Middle East & Africa Data Mining Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data Mining Tools Market Size by Country (2018-2023)
10.4 Middle East & Africa Data Mining Tools Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Data Mining Tools Introduction
11.1.4 IBM Revenue in Data Mining Tools Business (2018-2023)
11.1.5 IBM Recent Development
11.2 SAS Institute
11.2.1 SAS Institute Company Detail
11.2.2 SAS Institute Business Overview
11.2.3 SAS Institute Data Mining Tools Introduction
11.2.4 SAS Institute Revenue in Data Mining Tools Business (2018-2023)
11.2.5 SAS Institute Recent Development
11.3 Oracle
11.3.1 Oracle Company Detail
11.3.2 Oracle Business Overview
11.3.3 Oracle Data Mining Tools Introduction
11.3.4 Oracle Revenue in Data Mining Tools Business (2018-2023)
11.3.5 Oracle Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Data Mining Tools Introduction
11.4.4 Microsoft Revenue in Data Mining Tools Business (2018-2023)
11.4.5 Microsoft Recent Development
11.5 Teradata
11.5.1 Teradata Company Detail
11.5.2 Teradata Business Overview
11.5.3 Teradata Data Mining Tools Introduction
11.5.4 Teradata Revenue in Data Mining Tools Business (2018-2023)
11.5.5 Teradata Recent Development
11.6 MathWorks
11.6.1 MathWorks Company Detail
11.6.2 MathWorks Business Overview
11.6.3 MathWorks Data Mining Tools Introduction
11.6.4 MathWorks Revenue in Data Mining Tools Business (2018-2023)
11.6.5 MathWorks Recent Development
11.7 H2O.ai
11.7.1 H2O.ai Company Detail
11.7.2 H2O.ai Business Overview
11.7.3 H2O.ai Data Mining Tools Introduction
11.7.4 H2O.ai Revenue in Data Mining Tools Business (2018-2023)
11.7.5 H2O.ai Recent Development
11.8 Intel
11.8.1 Intel Company Detail
11.8.2 Intel Business Overview
11.8.3 Intel Data Mining Tools Introduction
11.8.4 Intel Revenue in Data Mining Tools Business (2018-2023)
11.8.5 Intel Recent Development
11.9 Alteryx
11.9.1 Alteryx Company Detail
11.9.2 Alteryx Business Overview
11.9.3 Alteryx Data Mining Tools Introduction
11.9.4 Alteryx Revenue in Data Mining Tools Business (2018-2023)
11.9.5 Alteryx Recent Development
11.10 SAP
11.10.1 SAP Company Detail
11.10.2 SAP Business Overview
11.10.3 SAP Data Mining Tools Introduction
11.10.4 SAP Revenue in Data Mining Tools Business (2018-2023)
11.10.5 SAP Recent Development
11.11 Rapidminer
11.11.1 Rapidminer Company Detail
11.11.2 Rapidminer Business Overview
11.11.3 Rapidminer Data Mining Tools Introduction
11.11.4 Rapidminer Revenue in Data Mining Tools Business (2018-2023)
11.11.5 Rapidminer Recent Development
11.12 Knime
11.12.1 Knime Company Detail
11.12.2 Knime Business Overview
11.12.3 Knime Data Mining Tools Introduction
11.12.4 Knime Revenue in Data Mining Tools Business (2018-2023)
11.12.5 Knime Recent Development
11.13 FICO
11.13.1 FICO Company Detail
11.13.2 FICO Business Overview
11.13.3 FICO Data Mining Tools Introduction
11.13.4 FICO Revenue in Data Mining Tools Business (2018-2023)
11.13.5 FICO Recent Development
11.14 Salford Systems
11.14.1 Salford Systems Company Detail
11.14.2 Salford Systems Business Overview
11.14.3 Salford Systems Data Mining Tools Introduction
11.14.4 Salford Systems Revenue in Data Mining Tools Business (2018-2023)
11.14.5 Salford Systems Recent Development
11.15 BlueGranite
11.15.1 BlueGranite Company Detail
11.15.2 BlueGranite Business Overview
11.15.3 BlueGranite Data Mining Tools Introduction
11.15.4 BlueGranite Revenue in Data Mining Tools Business (2018-2023)
11.15.5 BlueGranite Recent Development
11.16 Angoss Software
11.16.1 Angoss Software Company Detail
11.16.2 Angoss Software Business Overview
11.16.3 Angoss Software Data Mining Tools Introduction
11.16.4 Angoss Software Revenue in Data Mining Tools Business (2018-2023)
11.16.5 Angoss Software Recent Development
11.17 Megaputer Intelligence
11.17.1 Megaputer Intelligence Company Detail
11.17.2 Megaputer Intelligence Business Overview
11.17.3 Megaputer Intelligence Data Mining Tools Introduction
11.17.4 Megaputer Intelligence Revenue in Data Mining Tools Business (2018-2023)
11.17.5 Megaputer Intelligence Recent Development
11.18 Biomax Informatics
11.18.1 Biomax Informatics Company Detail
11.18.2 Biomax Informatics Business Overview
11.18.3 Biomax Informatics Data Mining Tools Introduction
11.18.4 Biomax Informatics Revenue in Data Mining Tools Business (2018-2023)
11.18.5 Biomax Informatics Recent Development
11.19 Frontline Systems
11.19.1 Frontline Systems Company Detail
11.19.2 Frontline Systems Business Overview
11.19.3 Frontline Systems Data Mining Tools Introduction
11.19.4 Frontline Systems Revenue in Data Mining Tools Business (2018-2023)
11.19.5 Frontline Systems Recent Development
11.20 Suntec India
11.20.1 Suntec India Company Detail
11.20.2 Suntec India Business Overview
11.20.3 Suntec India Data Mining Tools Introduction
11.20.4 Suntec India Revenue in Data Mining Tools Business (2018-2023)
11.20.5 Suntec India Recent Development
11.21 Dataiku
11.21.1 Dataiku Company Detail
11.21.2 Dataiku Business Overview
11.21.3 Dataiku Data Mining Tools Introduction
11.21.4 Dataiku Revenue in Data Mining Tools Business (2018-2023)
11.21.5 Dataiku Recent Development
11.22 Wolfram Research
11.22.1 Wolfram Research Company Detail
11.22.2 Wolfram Research Business Overview
11.22.3 Wolfram Research Data Mining Tools Introduction
11.22.4 Wolfram Research Revenue in Data Mining Tools Business (2018-2023)
11.22.5 Wolfram Research Recent Development
11.23 Reltio
11.23.1 Reltio Company Detail
11.23.2 Reltio Business Overview
11.23.3 Reltio Data Mining Tools Introduction
11.23.4 Reltio Revenue in Data Mining Tools Business (2018-2023)
11.23.5 Reltio Recent Development
11.24 SenticNet
11.24.1 SenticNet Company Detail
11.24.2 SenticNet Business Overview
11.24.3 SenticNet Data Mining Tools Introduction
11.24.4 SenticNet Revenue in Data Mining Tools Business (2018-2023)
11.24.5 SenticNet Recent Development
11.25 Business Insight
11.25.1 Business Insight Company Detail
11.25.2 Business Insight Business Overview
11.25.3 Business Insight Data Mining Tools Introduction
11.25.4 Business Insight Revenue in Data Mining Tools Business (2018-2023)
11.25.5 Business Insight 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