Market Overview:
The global data mining tools market is expected to grow from USD 2.02 billion in 2018 to USD 4.06 billion by 2030, at a CAGR of 10.5% during the forecast period. The growth of this market can be attributed to the increasing demand for big data and analytics solutions, growing need for fraud detection and prevention, and rising adoption of cloud-based data mining tools. However, the high cost of deployment and maintenance is restraining the growth of this market. On-premises segment is expected to hold a larger share of the global data mining tools market in 2018 as compared to other segments due its ability provide better performance as well as security features than cloud-based solutions. Moreover, on-premises solutions are more affordable than cloud-based ones; hence they are preferred by small and medium enterprises (SMEs).
Product Definition:
Data Mining Tools are used to find patterns and relationships in data. This information can be used to make decisions about future business strategies.
On-premises:
On-premises, it's usage and growth factor in Data Mining Tools market is a service that allows users to access data from remote servers for analysis. It provides benefits such as easy accessibility of the data, less time consumption in transferring large chunks of data over the network and ability to control access to sensitive information. The primary function of on-premises is still present even in cloud computing days; that being security related activities such as encryption of sensitive information or authentication & authorization.
Cloud:
Cloud is a collection of remote servers that are connected to the internet. It provides shared resources, software, and applications to its users or clients. The most common type of cloud service is the Infrastructure-as-a-Service (IaaS). IaaS allows customers/users to use virtualized hardware resources for various applications such as web hosting and data storage. Another type of service provided by the cloud includes Platform-as-a-Service (PaaS).
Application Insights:
The Global Data Mining Tools market is segmented by application into Banking, Financial Services and Insurance (BFSI), healthcare and life sciences, telecom and IT, government and defense, energy and utilities, manufacturing. The BFSI sector accounted for the largest share in 2017. This can be attributed to the high usage of data mining tools in fraud detection & risk assessment as well as customer profiling & marketing activities.
The BFSI segment is further categorized into retail banking; commercial banking; insurance; investment banks; mortgage companies; e-commerce/internet banks etc. The growing use of big data analytics techniques to extract meaningful information from large datasets has led to an increased demand for efficient software solutions that can process these huge volumes of data quickly without any loss or distortion. Thus driving the growth of this sector over the forecast period.
Regional Analysis:
The North American regional market dominated the global data mining tools market in 2016. The growth of this region can be attributed to the presence of a large number of players and increased adoption across various industries. Moreover, increasing investments by governments for predictive analysis is expected to drive demand over the forecast period. For instance, in 2017, The U.
In Asia Pacific as well as Latin America regions significant growth is anticipated owing to increasing government initiatives for improving public sector efficiency through effective utilization of big data analytics technologies coupled with growing awareness among end users regarding benefits offered by these solutions such as enhanced decision-making capabilities.
Growth Factors:
- Increasing demand for data-driven decision making across industries
- Rapid growth of big data and its associated opportunities
- Proliferation of cloud-based data mining services and tools
- Emergence of new applications for data mining technology
- Growing focus on predictive analytics and machine learning
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Mining Tools Market Research Report
By Type
On-premises, Cloud
By Application
BFSI, Healthcare and Life Sciences, Telecom and IT, Government and Defense, Energy and Utilities, Manufacturing, Others
By Companies
IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, H2O.ai, Intel, Alteryx, SAP, Rapidminer, Knime, FICO, Salford Systems, BlueGranite, Angoss Software, Megaputer Intelligence, Biomax Informatics, Frontline Systems, Suntec India, Dataiku, Wolfram Research, Reltio, SenticNet, Business Insight
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
227
Number of Tables & Figures
159
Customization Available
Yes, the report can be customized as per your need.
Global Data Mining Tools Market Report Segments:
The global Data Mining Tools market is segmented on the basis of:
Types
On-premises, Cloud
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BFSI, Healthcare and Life Sciences, Telecom and IT, Government and Defense, Energy and Utilities, Manufacturing, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- SAS Institute
- Oracle
- Microsoft
- Teradata
- MathWorks
- H2O.ai
- Intel
- Alteryx
- SAP
- Rapidminer
- Knime
- FICO
- Salford Systems
- BlueGranite
- Angoss Software
- Megaputer Intelligence
- Biomax Informatics
- Frontline Systems
- Suntec India
- Dataiku
- Wolfram Research
- Reltio
- SenticNet
- Business Insight
Highlights of The Data Mining Tools Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premises
- Cloud
- By Application:
- BFSI
- Healthcare and Life Sciences
- Telecom and IT
- Government and Defense
- Energy and Utilities
- Manufacturing
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Mining Tools Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data mining tools are used to extract valuable information from large data sets. They can be used for a variety of purposes, such as finding trends or correlations in the data, identifying specific patterns or relationships, and extracting specific pieces of information.
Some of the major players in the data mining tools market are IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, H2O.ai, Intel, Alteryx, SAP, Rapidminer, Knime, FICO, Salford Systems, BlueGranite, Angoss Software, Megaputer Intelligence, Biomax Informatics, Frontline Systems, Suntec India, Dataiku, Wolfram Research, Reltio, SenticNet, Business Insight.
The data mining tools market is expected to grow at a compound annual growth rate of 10.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Mining Tools Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Data Mining Tools Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Mining Tools Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Data Mining Tools Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Data Mining Tools Market Size & Forecast, 2018-2028
4.5.1 Data Mining Tools Market Size and Y-o-Y Growth
4.5.2 Data Mining Tools Market Absolute $ Opportunity
Chapter 5 Global Data Mining Tools Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data Mining Tools Market Size Forecast by Type
5.2.1 On-premises
5.2.2 Cloud
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Mining Tools Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data Mining Tools Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Healthcare and Life Sciences
6.2.3 Telecom and IT
6.2.4 Government and Defense
6.2.5 Energy and Utilities
6.2.6 Manufacturing
6.2.7 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Mining Tools Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Mining Tools Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data Mining Tools Analysis and Forecast
9.1 Introduction
9.2 North America Data Mining Tools Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data Mining Tools Market Size Forecast by Type
9.6.1 On-premises
9.6.2 Cloud
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data Mining Tools Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Healthcare and Life Sciences
9.10.3 Telecom and IT
9.10.4 Government and Defense
9.10.5 Energy and Utilities
9.10.6 Manufacturing
9.10.7 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data Mining Tools Analysis and Forecast
10.1 Introduction
10.2 Europe Data Mining Tools Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data Mining Tools Market Size Forecast by Type
10.6.1 On-premises
10.6.2 Cloud
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data Mining Tools Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Healthcare and Life Sciences
10.10.3 Telecom and IT
10.10.4 Government and Defense
10.10.5 Energy and Utilities
10.10.6 Manufacturing
10.10.7 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data Mining Tools Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Mining Tools Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data Mining Tools Market Size Forecast by Type
11.6.1 On-premises
11.6.2 Cloud
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data Mining Tools Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Healthcare and Life Sciences
11.10.3 Telecom and IT
11.10.4 Government and Defense
11.10.5 Energy and Utilities
11.10.6 Manufacturing
11.10.7 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data Mining Tools Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Mining Tools Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data Mining Tools Market Size Forecast by Type
12.6.1 On-premises
12.6.2 Cloud
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data Mining Tools Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Healthcare and Life Sciences
12.10.3 Telecom and IT
12.10.4 Government and Defense
12.10.5 Energy and Utilities
12.10.6 Manufacturing
12.10.7 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data Mining Tools Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Mining Tools Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data Mining Tools Market Size Forecast by Type
13.6.1 On-premises
13.6.2 Cloud
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data Mining Tools Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Healthcare and Life Sciences
13.10.3 Telecom and IT
13.10.4 Government and Defense
13.10.5 Energy and Utilities
13.10.6 Manufacturing
13.10.7 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Mining Tools Market: Competitive Dashboard
14.2 Global Data Mining Tools Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 SAS Institute
14.3.3 Oracle
14.3.4 Microsoft
14.3.5 Teradata
14.3.6 MathWorks
14.3.7 H2O.ai
14.3.8 Intel
14.3.9 Alteryx
14.3.10 SAP
14.3.11 Rapidminer
14.3.12 Knime
14.3.13 FICO
14.3.14 Salford Systems
14.3.15 BlueGranite
14.3.16 Angoss Software
14.3.17 Megaputer Intelligence
14.3.18 Biomax Informatics
14.3.19 Frontline Systems
14.3.20 Suntec India
14.3.21 Dataiku
14.3.22 Wolfram Research
14.3.23 Reltio
14.3.24 SenticNet
14.3.25 Business Insight
