Market Overview:
The global data mining software 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 the data mining software 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 software solutions. However, lack of awareness about big data and analytics solutions among organizations is restraining the growth of the global data mining software market. Based on type, the global Data Mining Software Market can be segmented into cloud-based and on-premises segments. The cloud-based segment is projected to grow at a higher CAGR than the on-premises segment during the forecast period owing to its advantages such as low cost of ownership, scalability, agility, ease of use & deployment ,and time & effort savings over traditional methods . Based on application ,the Data Mining Software Market can be divided into large enterprises and small & medium sized enterprises (SMEs). The large enterprises segment is expected to hold a larger share than SMEs duringthe forecast period .
Product Definition:
Data mining software is used to find patterns in data. It can be used to find trends, identify relationships, and predict future events. Data mining software is important because it can help companies make better decisions based on the data they have collected.
Cloud-based:
Cloud-based data mining software is a collection of tools and processes that are used to extract knowledge from large volumes of business data by applying machine learning techniques. The extraction of knowledge is done by the program based on the information stored in the cloud. It uses statistical models and algorithms to analyze large volumes of business data for patterns or trends.
On-premises:
On-premises is a term used for software that is installed and run from the customer's own computer. The software can be installed on any operating system such as Windows, Linux or Mac OS X. On-premises data mining software has been around for quite some time and was highly popular in the industry back in 2001 when large data volumes were being mined by companies to analyze customer behavior & trends.
Application Insights:
The large enterprises segment accounted for the largest revenue share of over 60% in 2017. The segment is expected to continue its dominance over the forecast period. Large enterprises are presumed to be more comfortable with data mining software and adopt it at a larger scale, as they have more resources and manpower available. SMEs, on other hand, are estimated to be the fastest-growing segment owing to their limited IT infrastructure and staff availability of advanced data mining tools that can help them extract greater value from their business information systems.
The small and medium-sized enterprises (SMEs) sector is projected register a significant CAGR during the forecast period owing to increasing adoption of cloud-based solutions among these companies due largely in part due low cost compared with on-premises solutions.
Regional Analysis:
The North American regional market dominated the global data mining software market in 2017. The growth of this region can be attributed to the presence of prominent players such as Cloudera, Inc.; IBM Corporation; and Microsoft Corporation in this region. These companies are actively involved in developing new products and providing support services to end users. Moreover, these companies have established strong distribution channels that enable them to reach out to a large customer base across the globe.
Asia Pacific is expected to emerge as the fastest-growing regional market over the forecast period owing to increasing adoption of big data technologies by various organizations for generating insights from massive volumes of raw data stored on their IT infrastructure or other IT assets (servers, storage devices). Furthermore, growing awareness regarding advanced analytics among SMEs located in emerging economies such as China and India is anticipated to drive demand for cost-effective big data solutions thereby driving growth across this region over the forecast period.
Growth Factors:
- Increasing demand for data-driven decision making across organizations
- Proliferation of big data and the need to derive insights from it
- The increasing use of predictive analytics to identify trends and patterns in data
- The growing importance of artificial intelligence and machine learning in data mining
- The increasing demand for cloud-based solutions for data mining
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Mining Software Market Research Report
By Type
Cloud-based, On-premises
By Application
Large Enterprises, Small and Medium-sized Enterprises (SMEs)
By Companies
SAS, IBM, Symbrium, Coheris, Expert System, Apteco, Megaputer Intelligence, Mozenda, GMDH, Optymyze, RapidMiner, Salford Systems, Lexalytics, Semantic Web Company, Saturam
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
213
Number of Tables & Figures
150
Customization Available
Yes, the report can be customized as per your need.
Global Data Mining Software Market Report Segments:
The global Data Mining Software market is segmented on the basis of:
Types
Cloud-based, On-premises
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
Large Enterprises, Small and Medium-sized Enterprises (SMEs)
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:
- SAS
- IBM
- Symbrium
- Coheris
- Expert System
- Apteco
- Megaputer Intelligence
- Mozenda
- GMDH
- Optymyze
- RapidMiner
- Salford Systems
- Lexalytics
- Semantic Web Company
- Saturam
Highlights of The Data Mining Software 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:
- Cloud-based
- On-premises
- By Application:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
- 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 Software 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 software is a computer program that helps analysts find patterns in large data sets. It can be used to identify relationships between different pieces of information, predict future events, and recommend actions based on past behavior.
Some of the key players operating in the data mining software market are SAS, IBM, Symbrium, Coheris, Expert System, Apteco, Megaputer Intelligence, Mozenda, GMDH, Optymyze, RapidMiner, Salford Systems, Lexalytics, Semantic Web Company, Saturam.
The data mining software 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 Software 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 Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Mining Software 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 Software 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 Software Market Size & Forecast, 2018-2028
4.5.1 Data Mining Software Market Size and Y-o-Y Growth
4.5.2 Data Mining Software Market Absolute $ Opportunity
Chapter 5 Global Data Mining Software 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 Software Market Size Forecast by Type
5.2.1 Cloud-based
5.2.2 On-premises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Mining Software 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 Software Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 Small and Medium-sized Enterprises (SMEs)
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Mining Software 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 Software 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 Software Analysis and Forecast
9.1 Introduction
9.2 North America Data Mining Software 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 Software Market Size Forecast by Type
9.6.1 Cloud-based
9.6.2 On-premises
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 Software Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 Small and Medium-sized Enterprises (SMEs)
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 Software Analysis and Forecast
10.1 Introduction
10.2 Europe Data Mining Software 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 Software Market Size Forecast by Type
10.6.1 Cloud-based
10.6.2 On-premises
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 Software Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 Small and Medium-sized Enterprises (SMEs)
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 Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Mining Software 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 Software Market Size Forecast by Type
11.6.1 Cloud-based
11.6.2 On-premises
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 Software Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 Small and Medium-sized Enterprises (SMEs)
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 Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Mining Software 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 Software Market Size Forecast by Type
12.6.1 Cloud-based
12.6.2 On-premises
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 Software Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 Small and Medium-sized Enterprises (SMEs)
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 Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Mining Software 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 Software Market Size Forecast by Type
13.6.1 Cloud-based
13.6.2 On-premises
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 Software Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 Small and Medium-sized Enterprises (SMEs)
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 Software Market: Competitive Dashboard
14.2 Global Data Mining Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 SAS
14.3.2 IBM
14.3.3 Symbrium
14.3.4 Coheris
14.3.5 Expert System
14.3.6 Apteco
14.3.7 Megaputer Intelligence
14.3.8 Mozenda
14.3.9 GMDH
14.3.10 Optymyze
14.3.11 RapidMiner
14.3.12 Salford Systems
14.3.13 Lexalytics
14.3.14 Semantic Web Company
14.3.15 Saturam
