Global Data Mining Tools Market Analysis
According to Verified Market Research, The Global Data Mining Tools Market was valued at USD 517.42 Million in 2017 and is projected to reach USD 1.21 Billion by 2025, growing at a CAGR of 11.07% from 2018 to 2025.
What are Data Mining Tools?
Data mining can be defined as the set of methodologies that are used in analyzing data from various dimensions and perspectives, finding previously unknown hidden patterns, classifying and grouping the data and summarizing the identified relationships.
Global Data Mining Tools Market Outlook
In the report, the market outlook section mainly encompasses fundamental dynamics of the market which include drivers, restraints, opportunities and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
There are several factors that are advantageous to the Data Mining Tools market such as the significant increase in data volume as well as the increased awareness among enterprises to leverage data assets. These factors are driving the growth of the market. Factors such as stringent government rules and regulations are restraining the overall Data Mining Tools market growth.
Verified Market Research narrows down the available data using primary sources to validate the data and use it in compiling a full-fledged market research study. The report contains a quantitative and qualitative estimation of market elements which interests the client. The "Global Data Mining Tools Market" is mainly bifurcated into sub-segments which can provide a classified data regarding latest trends in the market.
Global Data Mining Tools Market Competitive Landscape
The "Global Data Mining Tools Market" study report will provide a valuable insight with an emphasis on global market including some of the major players such as IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, Intel, and FICO. Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above mentioned players globally.
Global Data Mining Tools Market , By Industry Vertical
• Retail
• Healthcare and Life Sciences
• Energy and Utilities
• Manufacturing
• Telecom and IT
• Banking, Financial Services, and Insurance
• Government and Defense
• Others
Global Data Mining Tools Market , By Deployment Type
• On-Premises
• Cloud
Global Data Mining Tools Market , By Business Function
• Marketing
• Finance
• Supply Chain and Logistics
• Operations
Global Data Mining Tools Market , By Organization Size
• Large Enterprises
• Small and Medium-Sized Enterprises
Global Data Mining Tools Market Geographic Scope
• North America
o U.S.
o Canada
o Mexico
• Europe
o Germany
o UK
o France
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o Rest of Asia Pacific
• Latin America
o Brazil
• Rest of the World
Research Methodology of Verified Market Research:
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Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter's five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post sales analyst support
Customization of the Report
• In case of any queries or customization requirements please connect with our sales team, who will ensure that your requirements are met.
INTRODUCTION OF GLOBAL DATA MINING TOOLS MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL DATA MINING TOOLS MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework
5 GLOBAL DATA MINING TOOLS MARKET , BY INDUSTRY VERTICAL
5.1 Overview
5.2 Retail
5.3 Healthcare and Life Sciences
5.4 Energy and Utilities
5.5 Manufacturing
5.6 Telecom and IT
5.7 Banking, Financial Services, and Insurance
5.8 Government and Defense
5.9 Others
6 GLOBAL DATA MINING TOOLS MARKET , BY DEPLOYMENT TYPE
6.1 Overview
6.2 On-Premises
6.3 Cloud
7 GLOBAL DATA MINING TOOLS MARKET , BY BUSINESS FUNCTION
7.1 Overview
7.2 Marketing
7.3 Finance
7.4 Supply Chain and Logistics
7.5 Operations
8 GLOBAL DATA MINING TOOLS MARKET , BY ORGANIZATION SIZE
8.1 Overview
8.2 Large Enterprises
8.3 Small and Medium-Sized Enterprises
9 GLOBAL DATA MINING TOOLS MARKET, BY GEOGRAPHY
9.1 Overview
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 U.K.
9.3.3 France
9.3.4 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Rest of Asia Pacific
9.5 Latin America
9.5.1 Brazil
9.5.2 Argentina
9.6 Rest of the World
10 GLOBAL DATA MINING TOOLS MARKETCOMPETITIVE LANDSCAPE
10.1 Overview
10.2 Company Market Share
10.3 Vendor Landscape
10.4 Key Development Strategies
11 COMPANY PROFILES
11.1 IBM
11.1.1 Overview
11.1.2 Financial Performance
11.1.3 Product Outlook
11.1.4 Key Developments
11.2 SAS Institute
11.2.1 Overview
11.2.2 Financial Performance
11.2.3 Product Outlook
11.2.4 Key Developments
11.3 Oracle
11.3.1 Overview
11.3.2 Financial Performance
11.3.3 Product Outlook
11.3.4 Key Developments
11.4 Microsoft
11.4.1 Overview
11.4.2 Financial Performance
11.4.3 Product Outlook
11.4.4 Key Developments
11.5 Teradata
11.5.1 Overview
11.5.2 Financial Performance
11.5.3 Product Outlook
11.5.4 Key Developments
11.6 MathWorks
11.6.1 Overview
11.6.2 Financial Performance
11.6.3 Product Outlook
11.6.4 Key Developments
11.7 Intel
11.7.1 Overview
11.7.2 Financial Performance
11.7.3 Product Outlook
11.7.4 Key Developments
11.8 SAP
11.8.1 Overview
11.8.2 Financial Performance
11.8.3 Product Outlook
11.8.4 Key Developments
11.9 Rapidminer
11.9.1 Overview
11.9.2 Financial Performance
11.9.3 Product Outlook
11.9.4 Key Developments
11.10 Knime
11.10.1 Overview
11.10.2 Financial Performance
11.10.3 Product Outlook
11.10.4 Key Developments
11.11 FICO
11.11.1 Overview
11.11.2 Financial Performance
11.11.3 Product Outlook
11.11.4 Key Developments
12 Appendix
12.1 Related Research
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