Data Mining Tools Market – Industry Analysis and Forecast (2019-2027) – by Service, by Function, by Component, by Deployment Type, by Organization Size, by Industry Vertical, and by Geography

Data Mining Tools Market is expected to propel US$ XX Mn by 2027 with a CAGR of XX% in the forecasting period 2019-2027. Data Mining is the set of methodologies that are used in analyzing data from various dimensions and perspectives. It helps in analyzing data and find earlier unidentified hidden patterns, further categorizing data and understand the identified relationships. The elements within data mining include extraction, transformation, loading of data and managing data in a multidimensional database system, thereby providing access to business analysts and IT experts. Data comes for a price and is very important for any organization as it can generate revenue. In other words, data can be deemed as the valuable financial asset of any enterprise. Businesses all over the world use data mining for gathering knowledge and analyzing the available data. It is these data and information that help companies in predicting future trends, understand exact customer preferences or their purchase habits, and conduct a productive market analysis. Business models are build based on historical data patterns and data anomaly patterns that are essential for fraud detection and areas of weak data collection thereby acting as some of the major drivers for the market growth. Data mining further helps enterprises to make informed business decisions, enhances business intelligence, thereby improving the company’s revenue and reducing cost overheads. However, it is the availability of incomplete data that may give a wrong estimate which act as a major restraint for the Data Mining Tools Market. The banking, financial services, and insurance or BFSI industry vertical deal with credit management, collection management, and fraud detection management for the financial operations. The BFSI sector deals with a huge amount of customer and transactional data from various sources where the data mining tools are used. It helps in analyzing the customer expectations along with getting a correct flow of work making BFSI sector one of the largest industry vertical for data mining tools market globally. The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region. The Data Mining Tools Market is segmented by service, function, deployment type, component, industry vertical, and organization size. Based on service, the market comprises of consulting and managed services among others in which the managed services are expected to hold a larger market share because of its applications across companies where the services take care of the complete task execution without the organization to worry about. By organization size, the data mining tools market is bifurcated into large enterprises and small & medium enterprises. The large enterprises held a larger market share because of the huge amount of data being generated resulting in the higher application of Data Mining Tools Market. By geography, the Data Mining Tools Market can be segmented into North America, Europe, Asia Pacific, Middle East, and Latin America. North America is expected to account for the largest market size in 2017 and will continue to dominate the global market during the forecast period. This region has stringent government plans and policies for the BFSI sector, thereby forming a crucial driver for the growth of the data mining tools market in North America. The key players of Data Mining Tools Market include SAP SE (Germany), SAS Institute (US), Oracle (US), Intel (US), IBM Corporation (US), and Microsoft Corporation (US). The objective of the report is to present comprehensive analysis Data Mining Tools Market   including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with analysis of complicated data in simple language. The report covers all the aspects of industry with dedicated study of key players that includes market leaders, followers and new entrants by region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by region on the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give clear futuristic view of the industry to the decision makers. The report also helps in understanding Data Mining Tools Market dynamics, structure by analyzing the market segments, and project the Data Mining Tools Market   size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Data Mining Tools Market make the report investor’s guide. Data Mining Tools Market scope:-

Data Mining Tools Market,By Service

• Consulting • Managed • Others

Data Mining Tools Market,By Function

• Marketing • Finance • Operations • Others

Data Mining Tools Market, By Deployment Type

• Stationary • Mobile

Data Mining Tools Market, By Component

• Tools • Services

Data Mining Tools Market, By Organization Size

• Large Enterprise • Small & Medium Enterprise

Data Mining Tools Market, By Industry Vertical

• Retail • Healthcare and Life Sciences • Banking, Financial Services, and Insurance • Energy and Utilities • Government • Manufacturing • IT and Telecommunication • Others

Data Mining Tools Market, By Geography

• North America • Europe • Asia-Pacific • Middle East & Africa • Latin America Data Mining Tools Market Key Players operating in the market: • SAP SE • SAS Institute • Oracle • Intel • IBM Corporation • Microsoft Corporation Maximize Market Research, a global market research firm with a dedicated team of specialists and data has carried out extensive research about the current Data Mining Tools Market outlook. The report encompasses the Data Mining Tools Market by different segments and region, providing the in-depth analysis of the overall industry ecosystem, useful for taking an informed strategic decision by the key stakeholders in the industry. Importantly, the report delivers forecasts and share of the market, further giving an insight into the market dynamics, and future opportunities that might exist in the Data Mining Tools market. The driving forces, as well as considerable restraints, have been explained in depth. In addition to this, competitive landscape describing the strategic growth of the competitors have been taken into consideration for enhancing market know-how of our clients and at the same time explain Data Mining Tools Market positioning of competitors.
1. INTRODUCTION 1.1. Data Mining Tools Market description & Scope 1.2. Objectives 1.2.1. Key Takeaways 1.2.2. Abbreviations & Acronyms 2. RESEARCH METHODOLOGY 2.1. Methods used for market forecasting 2.2. Data Sources 2.2.1. Paid Databases 2.2.2. Primary Sources 2.2.3. Secondary Sources 3. EXECUTIVE SUMMARY 3.1. Data Mining Tools Market, Major Findings 3.1.1. Data Mining Tools Market, Key Segment Trends 3.1.1.1. Service 3.1.1.2. Function 3.1.1.3. Component 3.1.1.4. Deployment Type 3.1.1.5. Organization Size 3.1.1.6. Industry Vertical 3.1.2. Data Mining Tools Market, Key Regional Trends 3.2. Data Mining Tools Market, Key Companies and their Strategies 4. MARKET OVERVIEW 4.1. Data Mining Tools Concept & Definition 4.2. Segments Overview 4.2.1. Data Mining Tools Market, By Service 4.2.1.1.1. Consulting 4.2.1.1.2. Managed 4.2.1.1.3. Others 4.2.2. Data Mining Tools Market, By Function 4.2.2.1.1. Marketing 4.2.2.1.2. Finance 4.2.2.1.3. Operations 4.2.2.1.4. Others 4.2.3. Data Mining Tools Market, By Deployment Type 4.2.3.1. Stationary 4.2.3.2. Mobile 4.2.4. Data Mining Tools Market, By Organization Size 4.2.4.1. Large Enterprise 4.2.4.2. SMEs 4.2.5. Data Mining Tools Market, By Component 4.2.5.1. Tools 4.2.5.2. Services 4.2.6. Data Mining Tools Market, By Industry Vertical 4.2.6.1. Retail 4.2.6.2. Healthcare and Life Sciences 4.2.6.3. Banking, Financial Services, and Insurance 4.2.6.4. Energy and Utilities 4.2.6.5. Government 4.2.6.6. Manufacturing 4.2.6.7. IT and Telecommunication 4.2.6.8. Others 4.3. Data Mining Tools Market, Market Dynamics 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunities 4.4. Porter’s Analysis 4.5. PESTLE Analysis 4.6. Fragmentation 4.6.1. Key strategic Alliances of companies (inorganic & organic) 4.6.2. Company Market Share (Top 10 Players) 4.6.3. Comparative Analysis of Key players in Data Mining Tools 4.7. Key Trends 5. DATA MINING TOOLS FUNCTION ESTIMATES & TREND ANALYSIS (2019-2027) 5.1. Data Mining Tools Market: Function Analysis 5.1.1. Tools 5.1.1.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 5.1.2. Services 5.1.2.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 5.2. Data Mining Tools Market: Function Trends 6. DATA MINING TOOLS SERVICE ESTIMATES & TREND ANALYSIS (2019-2027) 6.1. Data Mining Tools Market: Service Analysis 6.1.1. Consulting 6.1.1.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 6.1.2. Managed 6.1.2.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 6.1.3. Others 6.1.3.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 6.2. Data Mining Tools Market: Service Trends 7. DATA MINING TOOLS COMPONENT ESTIMATES & TREND ANALYSIS (2019-2027) 7.1. Data Mining Tools Market: Component Analysis 7.1.1. Tools 7.1.1.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 7.1.2. Services 7.1.2.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 7.2. Data Mining Tools Market: Component Trends 8. DATA MINING TOOLS DEPLOYMENT TYPE ESTIMATES & TREND ANALYSIS (2019-2027) 8.1. Data Mining Tools Market: Deployment Type Analysis 8.1.1. Stationary 8.1.1.1. Market Share and growth forecasts,2019-2027 (USD Billion) 8.1.2. Mobile 8.1.2.1. Market Share and growth forecasts, 2019-2027 (USD Billion) 8.2. Data Mining Tools Market: Deployment Type Trends 9. DATA MINING TOOLS ORGANIZATION SIZE ESTIMATES & TREND ANALYSIS (2019 – 2027) 9.1. Data Mining Tools Market: Organization Size Analysis 9.1.1. Large Enterprise 9.1.1.1. Market Share and growth forecasts,2019 – 2027 (USD Billion) 9.1.2. SMEs 9.1.2.1. Market Share and growth forecasts,2019 – 2027 (USD Billion) 9.2. Data Mining Tools Market: Organization Size Trends 10. DATA MINING TOOLS INDUSTRY VERTICAL ESTIMATES & TREND ANALYSIS (2019 – 2027) 10.1. Data Mining Tools Market: Industry Vertical Analysis 10.1.1. BFSI 10.1.1.1. Market Share and growth forecasts,2019 – 2027 (USD Billion) 10.1.2. IT and Telecommunication 10.1.2.1. Market Share and growth forecasts, 2019 – 2027 (USD Billion) 10.1.3. Energy & Utilities 10.1.3.1. Market Share and growth forecasts, 2019 – 2027 (USD Billion) 10.1.4. Government 10.1.4.1. Market Share and growth forecasts,2019 – 2027 (USD Billion) 10.1.5. Manufacturing 10.1.5.1. Market Share and growth forecasts, 2019 – 2027 (USD Billion) 10.1.6. Healthcare & Lifescience 10.1.6.1. Market Share and growth forecasts,2019 – 2027 (USD Billion) 10.1.7. Retail 10.1.7.1. Market Share and growth forecasts, 2019 – 2027 (USD Billion) 10.1.8. Others 10.1.8.1. Market Share and growth forecasts, 2019 – 2027 (USD Billion) 10.2. Data Mining Tools Market: Industry Vertical Trends 11. REGIONAL ESTIMATES & TREND ANALYSIS (2019 – 2027) 11.1. North America Data Mining Tools market share by Region, 2019 – 2027 11.2. North America 11.2.1. North America Data Mining Tools market, Market Share and growth forecasts, 2019 – 2027(USD Billion) 11.2.2. Data Mining Tools Drivers for North America Market 11.2.3. Market Share Analysis and Growth Forecast, by Country 11.2.3.1. US 11.2.3.2. Canada 11.2.4. Country-wise GDP Growth Forecast 11.2.5. Data Mining Tools Trends In North America Market 11.3. Europe 11.3.1. Europe Data Mining Tools market, Market Share and growth forecasts, 2019 – 2027 (USD Billion) 11.3.2. Data Mining Tools Drivers For Europe Market 11.3.3. Market Share Analysis and Growth Forecast, by Country 11.3.3.1. UK 11.3.3.2. Germany 11.3.3.3. France 11.3.3.4. Russia 11.3.3.5. Spain 11.3.3.6. Italy 11.3.3.7. Others 11.3.4. Country-wise GDP Growth Forecast 11.3.5. Data Mining Tools Trends In Europe Market 11.4. Asia Pacific 11.4.1. Asia Pacific Data Mining Tools market, Market Share and growth forecasts, 2019 – 2027(USD Billion) 11.4.2. Data Mining Tools Drivers for Asia Pacific Market 11.4.3. Market Share Analysis and Growth Forecast, by Country 11.4.3.1. China 11.4.3.2. Japan 11.4.3.3. India 11.4.3.4. South Korea 11.4.3.5. Australia 11.4.3.6. Others 11.4.4. Country-wise GDP Growth Forecast 11.4.5. Data Mining Tools Trends In Asia Pacific Market 11.5. Middle-east and Africa 11.5.1. Middle-east and Africa Data Mining Tools market, Market Share and growth forecasts, 2019 – 2027 (USD Billion) 11.5.2. Data Mining Tools Drivers for Middle-east and Africa Market 11.5.3. Market Share Analysis and Growth Forecast, by Country 11.5.3.1. GCC Countries 11.5.3.2. Saudi Arabia 11.5.3.3. Others 11.5.4. Data Mining Tools Trends In Middle-east and Africa Market 11.6. Latin America 11.6.1. Latin America Data Mining Tools market, Market Share and growth forecasts, 2019 – 2027 (USD Billion) 11.6.2. Data Mining Tools Drivers for Latin America Market 11.6.3. Market Share Analysis and Growth Forecast, by Country 11.6.3.1. Brazil 11.6.3.2. Mexico 11.6.3.3. Others 11.6.4. Data Mining Tools Trends In Latin America Market 12. MARKET COMPETITION ANALYSIS 12.1. Strategy Framework 12.2. Consolidation 12.2.1. Patent Analysis 12.2.2. Mergers & Acquisitions 12.2.2.1. Product Based 12.2.2.2. Services Based 12.2.2.3. Region Based 12.2.2.4. List of Mergers & Acquisitions 12.2.3. Company Benchmarking (Revenue & Profit Based) 12.2.4. Strategic Assessment of Company Consolidations 12.2.5. Emerging Business Typels 12.3. Company Profiles 12.3.1. SAP SE 12.3.1.1. Company overview 12.3.1.2. Key financials 12.3.1.3. Geographical presence 12.3.1.4. Product and Business Segments 12.3.1.5. Strategic initiatives 12.3.1.6. SWOT analysis 12.3.1.7. Competitive positioning and landscape 12.3.2. SAS Institute 12.3.2.1. Company overview 12.3.2.2. Key financials 12.3.2.3. Geographical presence 12.3.2.4. Product and Business Segments 12.3.2.5. Strategic initiatives 12.3.2.6. SWOT analysis 12.3.2.7. Competitive positioning and landscape 12.3.3. Oracle 12.3.3.1. Company overview 12.3.3.2. Key financials 12.3.3.3. Geographical presence 12.3.3.4. Product and Business Segments 12.3.3.5. Strategic initiatives 12.3.3.6. SWOT analysis 12.3.3.7. Competitive positioning and landscape 12.3.4. Intel 12.3.4.1. Company overview 12.3.4.2. Key financials 12.3.4.3. Geographical presence 12.3.4.4. Product and Business Segments 12.3.4.5. Strategic initiatives 12.3.4.6. SWOT analysis 12.3.4.7. Competitive positioning and landscape 12.3.5. IBM Corporation 12.3.5.1. Company overview 12.3.5.2. Key financials 12.3.5.3. Geographical presence 12.3.5.4. Product and Business Segments 12.3.5.5. Strategic initiatives 12.3.5.6. SWOT analysis 12.3.5.7. Competitive positioning and landscape 12.3.6. Microsoft Corporation 12.3.6.1. Company overview 12.3.6.2. Key financials 12.3.6.3. Geographical presence 12.3.6.4. Product and Business Segments 12.3.6.5. Strategic initiatives 12.3.6.6. SWOT analysis 12.3.6.7. Competitive positioning and landscape 12.3.7. Teradata 12.3.7.1. Company overview 12.3.7.2. Key financials 12.3.7.3. Geographical presence 12.3.7.4. Product and Business Segments 12.3.7.5. Strategic initiatives 12.3.7.6. SWOT analysis 12.3.7.7. Competitive positioning and landscape 12.3.8. Alteryx 12.3.8.1. Company overview 12.3.8.2. Key financials 12.3.8.3. Geographical presence 12.3.8.4. Product and Business Segments 12.3.8.5. Strategic initiatives 12.3.8.6. SWOT analysis 12.3.8.7. Competitive positioning and landscape 12.3.9. Rapidminer 12.3.9.1. Company overview 12.3.9.2. Key financials 12.3.9.3. Geographical presence 12.3.9.4. Product and Business Segments 12.3.9.5. Strategic initiatives 12.3.9.6. SWOT analysis 12.3.9.7. Competitive positioning and landscape 12.3.10. FICO 12.3.10.1. Company overview 12.3.10.2. Key financials 12.3.10.3. Geographical presence 12.3.10.4. Product and Business Segments 12.3.10.5. Strategic initiatives 12.3.10.6. SWOT analysis 12.3.10.7. Competitive positioning and landscape 12.3.11. BlueGranite 12.3.11.1. Company overview 12.3.11.2. Key financials 12.3.11.3. Geographical presence 12.3.11.4. Product and Business Segments 12.3.11.5. Strategic initiatives 12.3.11.6. SWOT analysis 12.3.11.7. Competitive positioning and landscape 12.3.12. Angoss Software 12.3.12.1. Company overview 12.3.12.2. Key financials 12.3.12.3. Geographical presence 12.3.12.4. Product and Business Segments 12.3.12.5. Strategic initiatives 12.3.12.6. SWOT analysis 12.3.12.7. Competitive positioning and landscape 12.3.13. Biomax Informatics 12.3.13.1. Company overview 12.3.13.2. Key financials 12.3.13.3. Geographical presence 12.3.13.4. Product and Business Segments 12.3.13.5. Strategic initiatives 12.3.13.6. SWOT analysis 12.3.13.7. Competitive positioning and landscape 12.3.14. Suntec India 12.3.14.1. Company overview 12.3.14.2. Key financials 12.3.14.3. Geographical presence 12.3.14.4. Product and Business Segments 12.3.14.5. Strategic initiatives 12.3.14.6. SWOT analysis 12.3.14.7. Competitive positioning and landscape 12.3.15. Frontline Systems 12.3.15.1. Company overview 12.3.15.2. Key financials 12.3.15.3. Geographical presence 12.3.15.4. Product and Business Segments 12.3.15.5. Strategic initiatives 12.3.15.6. SWOT analysis 12.3.15.7. Competitive positioning and landscape 12.3.16. Wolfram Research 12.3.16.1. Company overview 12.3.16.2. Key financials 12.3.16.3. Geographical presence 12.3.16.4. Product and Business Segments 12.3.16.5. Strategic initiatives 12.3.16.6. SWOT analysis 12.3.16.7. Competitive positioning and landscape

About This Report

Report ID 11529
Category Featured Reports
Published Date Aug 2019
Updated Date Aug 2020
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