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Upcoming Allied Market Research
2023
Data Mining Tools Market

Data Mining Tools Market

by Component (Tools, Services), by Deployment Mode (On-Premise, Cloud), by Organization Size (Large Enterprises, Small and Medium Enterprises) and by Industry Vertical (BFSI, Retail E-commerce, Manufacturing, Government Defense, Energy Utilities, IT and Telecom, Education, Education, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

Report Code: A05591
Nov 2023 | Pages: NA
Tables: NA
Charts: NA
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Data Mining Tools Market Outlook: 2026

Data mining tools are the set of practices which are used to analyze data from various perspectives and dimensions, classifying & grouping the data, finding previously unknown hidden patterns, and summarizing identified relationships. Data mining tools are used to expose patterns, grouping, and trends from a very large set of data. These tools have a standard approach to data mining which includes six phases, namely, business understanding, data understanding, data preparation, modelling, evaluation, and deployment. Different industries across the global are using data mining with pattern recognition and other useful tools to enhance their data mining capabilities which is propelling the demand for data mining tools market. Data mining tools can uplift customer knowledge and enable smart decision making.

Increase in the amount of data generation, data mining, and data storage across different industries such as banking, process manufacturing, and ongoing digital transformation in many sectors and increased awareness among enterprises to leverage the available data assets are the major factors that drive the data mining tools market growth. In addition, growth in demand for artificial intelligence and machine-learning technologies further fuels the growth of the market. However, various data privacy & security concerns and various government rules and regulations across the global hampers the market growth. Furthermore, increase in the need for creating insights from raw data and surge in the need for embedded intelligence to gain competitive advantage are anticipated to create the major opportunities in the data mining tools market.

The market is segmented into component, deployment mode, organization size, industry vertical and region. In terms of component the market is segmented into tools and services. Based on deployment mode, it is divided into on-premise and cloud. As per organization size, it is segmented into large enterprises and small & medium enterprises. As per industry vertical, data mining tools market is categorized into BFSI, retail & e-commerce, manufacturing, government & defense, energy & utilities, IT & telecom, education, healthcare and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the data mining tools market analysis are IBM Corporation, Microsoft Corporation, Oracle Corporation, Intel Corporation, Teradata, SAS Institute Inc., SAP SE, Fair Isaac Corporation, RapidMiner Inc., and Megaputer Intelligence Inc. The current and future data mining tools market trends are outlined to determine the overall attractiveness of the market.

KEY BENEFITS FOR STAKEHOLDERS

  • The study provides an in-depth analysis of the global data mining tools market size along with the current trends and future estimations to elucidate the imminent investment pockets.
  • Information about the key drivers, restraints, and opportunities and their impact analysis on the market share is provided.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the data mining tools industry.
  • The quantitative analysis of the global data mining tools market is provided to determine the market potential.

Data Mining Tools Market Report Highlights

Aspects Details
By Component
  • Tools
  • Services
By Deployment Mode
  • On-Premise
  • Cloud
By Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
By Industry Vertical
  • BFSI
  • Retail & E-commerce
  • Manufacturing
  • Government & Defense
  • Energy & Utilities
  • IT and Telecom
  • Education
  • Education
  • Others
By Region
  • North America  (U.S, Canada)
  • Europe  (UK, Germany, France, Italy, Spain, Rest of Europe)
  • Asia-Pacific  (China, India, Japan, South Korea, Australia, Rest of Asia-Pacific)
  • LAMEA  (Latin America, Middle East, Africa)
Key Market Players Oracle Corporation, SAS Institute Inc., Megaputer Intelligence Inc., Microsoft Corporation, SAP SE, RapidMiner Inc., IBM Corporation, Fair Isaac Corporation, Teradata, Intel Corporation
 
  • CHAPTER 1: INTRODUCTION

    • 1.1. Report Description

    • 1.2. Key Market Segments

    • 1.3. Key Benefits

    • 1.4. Research Methodology

      • 1.4.1. Primary Research

      • 1.4.2. Secondary Research

      • 1.4.3. Analyst Tools and Models

  • CHAPTER 2: EXECUTIVE SUMMARY

    • 2.1. CXO Perspective

  • CHAPTER 3: MARKET LANDSCAPE

    • 3.1. Market Definition and Scope

    • 3.2. Key Findings

      • 3.2.1. Top Investment Pockets

      • 3.2.2. Top Winning Strategies

    • 3.3. Porter's Five Forces Analysis

      • 3.3.1. Bargaining Power of Suppliers

      • 3.3.2. Threat of New Entrants

      • 3.3.3. Threat of Substitutes

      • 3.3.4. Competitive Rivalry

      • 3.3.5. Bargaining Power among Buyers

    • 3.5. Market Dynamics

      • 3.5.1. Drivers

      • 3.5.2. Restraints

      • 3.5.3. Opportunities

    • 3.6. COVID-19 Impact Analysis

  • CHAPTER 4: DATA MINING TOOLS MARKET, BY COMPONENT

    • 4.1. Market Overview

      • 4.1.1 Market Size and Forecast, By Component

    • 4.2. Tools

      • 4.2.1. Key Market Trends, Growth Factors and Opportunities

      • 4.2.2. Market Size and Forecast, By Region

      • 4.2.3. Market Share Analysis, By Country

    • 4.3. Services

      • 4.3.1. Key Market Trends, Growth Factors and Opportunities

      • 4.3.2. Market Size and Forecast, By Region

      • 4.3.3. Market Share Analysis, By Country

  • CHAPTER 5: DATA MINING TOOLS MARKET, BY DEPLOYMENT MODE

    • 5.1. Market Overview

      • 5.1.1 Market Size and Forecast, By Deployment Mode

    • 5.2. On-Premise

      • 5.2.1. Key Market Trends, Growth Factors and Opportunities

      • 5.2.2. Market Size and Forecast, By Region

      • 5.2.3. Market Share Analysis, By Country

    • 5.3. Cloud

      • 5.3.1. Key Market Trends, Growth Factors and Opportunities

      • 5.3.2. Market Size and Forecast, By Region

      • 5.3.3. Market Share Analysis, By Country

  • CHAPTER 6: DATA MINING TOOLS MARKET, BY ORGANIZATION SIZE

    • 6.1. Market Overview

      • 6.1.1 Market Size and Forecast, By Organization Size

    • 6.2. Large Enterprises

      • 6.2.1. Key Market Trends, Growth Factors and Opportunities

      • 6.2.2. Market Size and Forecast, By Region

      • 6.2.3. Market Share Analysis, By Country

    • 6.3. Small And Medium Enterprises

      • 6.3.1. Key Market Trends, Growth Factors and Opportunities

      • 6.3.2. Market Size and Forecast, By Region

      • 6.3.3. Market Share Analysis, By Country

  • CHAPTER 7: DATA MINING TOOLS MARKET, BY INDUSTRY VERTICAL

    • 7.1. Market Overview

      • 7.1.1 Market Size and Forecast, By Industry Vertical

    • 7.2. BFSI

      • 7.2.1. Key Market Trends, Growth Factors and Opportunities

      • 7.2.2. Market Size and Forecast, By Region

      • 7.2.3. Market Share Analysis, By Country

    • 7.3. Retail E-commerce

      • 7.3.1. Key Market Trends, Growth Factors and Opportunities

      • 7.3.2. Market Size and Forecast, By Region

      • 7.3.3. Market Share Analysis, By Country

    • 7.4. Manufacturing

      • 7.4.1. Key Market Trends, Growth Factors and Opportunities

      • 7.4.2. Market Size and Forecast, By Region

      • 7.4.3. Market Share Analysis, By Country

    • 7.5. Government Defense

      • 7.5.1. Key Market Trends, Growth Factors and Opportunities

      • 7.5.2. Market Size and Forecast, By Region

      • 7.5.3. Market Share Analysis, By Country

    • 7.6. Energy Utilities

      • 7.6.1. Key Market Trends, Growth Factors and Opportunities

      • 7.6.2. Market Size and Forecast, By Region

      • 7.6.3. Market Share Analysis, By Country

    • 7.7. IT And Telecom

      • 7.7.1. Key Market Trends, Growth Factors and Opportunities

      • 7.7.2. Market Size and Forecast, By Region

      • 7.7.3. Market Share Analysis, By Country

    • 7.8. Education

      • 7.8.1. Key Market Trends, Growth Factors and Opportunities

      • 7.8.2. Market Size and Forecast, By Region

      • 7.8.3. Market Share Analysis, By Country

    • 7.9. Education

      • 7.9.1. Key Market Trends, Growth Factors and Opportunities

      • 7.9.2. Market Size and Forecast, By Region

      • 7.9.3. Market Share Analysis, By Country

    • 7.10. Others

      • 7.10.1. Key Market Trends, Growth Factors and Opportunities

      • 7.10.2. Market Size and Forecast, By Region

      • 7.10.3. Market Share Analysis, By Country

  • CHAPTER 8: DATA MINING TOOLS MARKET, BY REGION

    • 8.1. Market Overview

      • 8.1.1 Market Size and Forecast, By Region

    • 8.2. North America

      • 8.2.1. Key Market Trends and Opportunities

      • 8.2.2. Market Size and Forecast, By Component

      • 8.2.3. Market Size and Forecast, By Deployment Mode

      • 8.2.4. Market Size and Forecast, By Organization Size

      • 8.2.5. Market Size and Forecast, By Industry Vertical

      • 8.2.6. Market Size and Forecast, By Country

      • 8.2.7. U.S. Data Mining Tools Market

        • 8.2.7.1. Market Size and Forecast, By Component
        • 8.2.7.2. Market Size and Forecast, By Deployment Mode
        • 8.2.7.3. Market Size and Forecast, By Organization Size
        • 8.2.7.4. Market Size and Forecast, By Industry Vertical
      • 8.2.8. Canada Data Mining Tools Market

        • 8.2.8.1. Market Size and Forecast, By Component
        • 8.2.8.2. Market Size and Forecast, By Deployment Mode
        • 8.2.8.3. Market Size and Forecast, By Organization Size
        • 8.2.8.4. Market Size and Forecast, By Industry Vertical
      • 8.2.9. Mexico Data Mining Tools Market

        • 8.2.9.1. Market Size and Forecast, By Component
        • 8.2.9.2. Market Size and Forecast, By Deployment Mode
        • 8.2.9.3. Market Size and Forecast, By Organization Size
        • 8.2.9.4. Market Size and Forecast, By Industry Vertical
    • 8.3. Europe

      • 8.3.1. Key Market Trends and Opportunities

      • 8.3.2. Market Size and Forecast, By Component

      • 8.3.3. Market Size and Forecast, By Deployment Mode

      • 8.3.4. Market Size and Forecast, By Organization Size

      • 8.3.5. Market Size and Forecast, By Industry Vertical

      • 8.3.6. Market Size and Forecast, By Country

      • 8.3.7. France Data Mining Tools Market

        • 8.3.7.1. Market Size and Forecast, By Component
        • 8.3.7.2. Market Size and Forecast, By Deployment Mode
        • 8.3.7.3. Market Size and Forecast, By Organization Size
        • 8.3.7.4. Market Size and Forecast, By Industry Vertical
      • 8.3.8. Germany Data Mining Tools Market

        • 8.3.8.1. Market Size and Forecast, By Component
        • 8.3.8.2. Market Size and Forecast, By Deployment Mode
        • 8.3.8.3. Market Size and Forecast, By Organization Size
        • 8.3.8.4. Market Size and Forecast, By Industry Vertical
      • 8.3.9. Italy Data Mining Tools Market

        • 8.3.9.1. Market Size and Forecast, By Component
        • 8.3.9.2. Market Size and Forecast, By Deployment Mode
        • 8.3.9.3. Market Size and Forecast, By Organization Size
        • 8.3.9.4. Market Size and Forecast, By Industry Vertical
      • 8.3.10. Spain Data Mining Tools Market

        • 8.3.10.1. Market Size and Forecast, By Component
        • 8.3.10.2. Market Size and Forecast, By Deployment Mode
        • 8.3.10.3. Market Size and Forecast, By Organization Size
        • 8.3.10.4. Market Size and Forecast, By Industry Vertical
      • 8.3.11. UK Data Mining Tools Market

        • 8.3.11.1. Market Size and Forecast, By Component
        • 8.3.11.2. Market Size and Forecast, By Deployment Mode
        • 8.3.11.3. Market Size and Forecast, By Organization Size
        • 8.3.11.4. Market Size and Forecast, By Industry Vertical
      • 8.3.12. Russia Data Mining Tools Market

        • 8.3.12.1. Market Size and Forecast, By Component
        • 8.3.12.2. Market Size and Forecast, By Deployment Mode
        • 8.3.12.3. Market Size and Forecast, By Organization Size
        • 8.3.12.4. Market Size and Forecast, By Industry Vertical
      • 8.3.13. Rest Of Europe Data Mining Tools Market

        • 8.3.13.1. Market Size and Forecast, By Component
        • 8.3.13.2. Market Size and Forecast, By Deployment Mode
        • 8.3.13.3. Market Size and Forecast, By Organization Size
        • 8.3.13.4. Market Size and Forecast, By Industry Vertical
    • 8.4. Asia-Pacific

      • 8.4.1. Key Market Trends and Opportunities

      • 8.4.2. Market Size and Forecast, By Component

      • 8.4.3. Market Size and Forecast, By Deployment Mode

      • 8.4.4. Market Size and Forecast, By Organization Size

      • 8.4.5. Market Size and Forecast, By Industry Vertical

      • 8.4.6. Market Size and Forecast, By Country

      • 8.4.7. China Data Mining Tools Market

        • 8.4.7.1. Market Size and Forecast, By Component
        • 8.4.7.2. Market Size and Forecast, By Deployment Mode
        • 8.4.7.3. Market Size and Forecast, By Organization Size
        • 8.4.7.4. Market Size and Forecast, By Industry Vertical
      • 8.4.8. Japan Data Mining Tools Market

        • 8.4.8.1. Market Size and Forecast, By Component
        • 8.4.8.2. Market Size and Forecast, By Deployment Mode
        • 8.4.8.3. Market Size and Forecast, By Organization Size
        • 8.4.8.4. Market Size and Forecast, By Industry Vertical
      • 8.4.9. India Data Mining Tools Market

        • 8.4.9.1. Market Size and Forecast, By Component
        • 8.4.9.2. Market Size and Forecast, By Deployment Mode
        • 8.4.9.3. Market Size and Forecast, By Organization Size
        • 8.4.9.4. Market Size and Forecast, By Industry Vertical
      • 8.4.10. South Korea Data Mining Tools Market

        • 8.4.10.1. Market Size and Forecast, By Component
        • 8.4.10.2. Market Size and Forecast, By Deployment Mode
        • 8.4.10.3. Market Size and Forecast, By Organization Size
        • 8.4.10.4. Market Size and Forecast, By Industry Vertical
      • 8.4.11. Australia Data Mining Tools Market

        • 8.4.11.1. Market Size and Forecast, By Component
        • 8.4.11.2. Market Size and Forecast, By Deployment Mode
        • 8.4.11.3. Market Size and Forecast, By Organization Size
        • 8.4.11.4. Market Size and Forecast, By Industry Vertical
      • 8.4.12. Thailand Data Mining Tools Market

        • 8.4.12.1. Market Size and Forecast, By Component
        • 8.4.12.2. Market Size and Forecast, By Deployment Mode
        • 8.4.12.3. Market Size and Forecast, By Organization Size
        • 8.4.12.4. Market Size and Forecast, By Industry Vertical
      • 8.4.13. Malaysia Data Mining Tools Market

        • 8.4.13.1. Market Size and Forecast, By Component
        • 8.4.13.2. Market Size and Forecast, By Deployment Mode
        • 8.4.13.3. Market Size and Forecast, By Organization Size
        • 8.4.13.4. Market Size and Forecast, By Industry Vertical
      • 8.4.14. Indonesia Data Mining Tools Market

        • 8.4.14.1. Market Size and Forecast, By Component
        • 8.4.14.2. Market Size and Forecast, By Deployment Mode
        • 8.4.14.3. Market Size and Forecast, By Organization Size
        • 8.4.14.4. Market Size and Forecast, By Industry Vertical
      • 8.4.15. Rest of Asia Pacific Data Mining Tools Market

        • 8.4.15.1. Market Size and Forecast, By Component
        • 8.4.15.2. Market Size and Forecast, By Deployment Mode
        • 8.4.15.3. Market Size and Forecast, By Organization Size
        • 8.4.15.4. Market Size and Forecast, By Industry Vertical
    • 8.5. LAMEA

      • 8.5.1. Key Market Trends and Opportunities

      • 8.5.2. Market Size and Forecast, By Component

      • 8.5.3. Market Size and Forecast, By Deployment Mode

      • 8.5.4. Market Size and Forecast, By Organization Size

      • 8.5.5. Market Size and Forecast, By Industry Vertical

      • 8.5.6. Market Size and Forecast, By Country

      • 8.5.7. Brazil Data Mining Tools Market

        • 8.5.7.1. Market Size and Forecast, By Component
        • 8.5.7.2. Market Size and Forecast, By Deployment Mode
        • 8.5.7.3. Market Size and Forecast, By Organization Size
        • 8.5.7.4. Market Size and Forecast, By Industry Vertical
      • 8.5.8. South Africa Data Mining Tools Market

        • 8.5.8.1. Market Size and Forecast, By Component
        • 8.5.8.2. Market Size and Forecast, By Deployment Mode
        • 8.5.8.3. Market Size and Forecast, By Organization Size
        • 8.5.8.4. Market Size and Forecast, By Industry Vertical
      • 8.5.9. Saudi Arabia Data Mining Tools Market

        • 8.5.9.1. Market Size and Forecast, By Component
        • 8.5.9.2. Market Size and Forecast, By Deployment Mode
        • 8.5.9.3. Market Size and Forecast, By Organization Size
        • 8.5.9.4. Market Size and Forecast, By Industry Vertical
      • 8.5.10. UAE Data Mining Tools Market

        • 8.5.10.1. Market Size and Forecast, By Component
        • 8.5.10.2. Market Size and Forecast, By Deployment Mode
        • 8.5.10.3. Market Size and Forecast, By Organization Size
        • 8.5.10.4. Market Size and Forecast, By Industry Vertical
      • 8.5.11. Argentina Data Mining Tools Market

        • 8.5.11.1. Market Size and Forecast, By Component
        • 8.5.11.2. Market Size and Forecast, By Deployment Mode
        • 8.5.11.3. Market Size and Forecast, By Organization Size
        • 8.5.11.4. Market Size and Forecast, By Industry Vertical
      • 8.5.12. Rest of LAMEA Data Mining Tools Market

        • 8.5.12.1. Market Size and Forecast, By Component
        • 8.5.12.2. Market Size and Forecast, By Deployment Mode
        • 8.5.12.3. Market Size and Forecast, By Organization Size
        • 8.5.12.4. Market Size and Forecast, By Industry Vertical
  • CHAPTER 9: COMPETITIVE LANDSCAPE

    • 9.1. Introduction

    • 9.2. Top Winning Strategies

    • 9.3. Product Mapping Of Top 10 Player

    • 9.4. Competitive Dashboard

    • 9.5. Competitive Heatmap

    • 9.6. Top Player Positioning,2022

  • CHAPTER 10: COMPANY PROFILES

    • 10.1. IBM Corporation

      • 10.1.1. Company Overview

      • 10.1.2. Key Executives

      • 10.1.3. Company Snapshot

      • 10.1.4. Operating Business Segments

      • 10.1.5. Product Portfolio

      • 10.1.6. Business Performance

      • 10.1.7. Key Strategic Moves and Developments

    • 10.2. Microsoft Corporation

      • 10.2.1. Company Overview

      • 10.2.2. Key Executives

      • 10.2.3. Company Snapshot

      • 10.2.4. Operating Business Segments

      • 10.2.5. Product Portfolio

      • 10.2.6. Business Performance

      • 10.2.7. Key Strategic Moves and Developments

    • 10.3. Oracle Corporation

      • 10.3.1. Company Overview

      • 10.3.2. Key Executives

      • 10.3.3. Company Snapshot

      • 10.3.4. Operating Business Segments

      • 10.3.5. Product Portfolio

      • 10.3.6. Business Performance

      • 10.3.7. Key Strategic Moves and Developments

    • 10.4. Intel Corporation

      • 10.4.1. Company Overview

      • 10.4.2. Key Executives

      • 10.4.3. Company Snapshot

      • 10.4.4. Operating Business Segments

      • 10.4.5. Product Portfolio

      • 10.4.6. Business Performance

      • 10.4.7. Key Strategic Moves and Developments

    • 10.5. Teradata

      • 10.5.1. Company Overview

      • 10.5.2. Key Executives

      • 10.5.3. Company Snapshot

      • 10.5.4. Operating Business Segments

      • 10.5.5. Product Portfolio

      • 10.5.6. Business Performance

      • 10.5.7. Key Strategic Moves and Developments

    • 10.6. SAS Institute Inc.

      • 10.6.1. Company Overview

      • 10.6.2. Key Executives

      • 10.6.3. Company Snapshot

      • 10.6.4. Operating Business Segments

      • 10.6.5. Product Portfolio

      • 10.6.6. Business Performance

      • 10.6.7. Key Strategic Moves and Developments

    • 10.7. SAP SE

      • 10.7.1. Company Overview

      • 10.7.2. Key Executives

      • 10.7.3. Company Snapshot

      • 10.7.4. Operating Business Segments

      • 10.7.5. Product Portfolio

      • 10.7.6. Business Performance

      • 10.7.7. Key Strategic Moves and Developments

    • 10.8. Fair Isaac Corporation

      • 10.8.1. Company Overview

      • 10.8.2. Key Executives

      • 10.8.3. Company Snapshot

      • 10.8.4. Operating Business Segments

      • 10.8.5. Product Portfolio

      • 10.8.6. Business Performance

      • 10.8.7. Key Strategic Moves and Developments

    • 10.9. RapidMiner Inc.

      • 10.9.1. Company Overview

      • 10.9.2. Key Executives

      • 10.9.3. Company Snapshot

      • 10.9.4. Operating Business Segments

      • 10.9.5. Product Portfolio

      • 10.9.6. Business Performance

      • 10.9.7. Key Strategic Moves and Developments

    • 10.10. Megaputer Intelligence Inc.

      • 10.10.1. Company Overview

      • 10.10.2. Key Executives

      • 10.10.3. Company Snapshot

      • 10.10.4. Operating Business Segments

      • 10.10.5. Product Portfolio

      • 10.10.6. Business Performance

      • 10.10.7. Key Strategic Moves and Developments

  • LIST OF TABLES

  • TABLE 1. GLOBAL DATA MINING TOOLS MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 2. GLOBAL DATA MINING TOOLS MARKET FOR TOOLS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 3. GLOBAL DATA MINING TOOLS MARKET FOR SERVICES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 4. GLOBAL DATA MINING TOOLS MARKET, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 5. GLOBAL DATA MINING TOOLS MARKET FOR ON-PREMISE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 6. GLOBAL DATA MINING TOOLS MARKET FOR CLOUD, BY REGION, 2022-2032 ($MILLION)
  • TABLE 7. GLOBAL DATA MINING TOOLS MARKET, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 8. GLOBAL DATA MINING TOOLS MARKET FOR LARGE ENTERPRISES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 9. GLOBAL DATA MINING TOOLS MARKET FOR SMALL AND MEDIUM ENTERPRISES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 10. GLOBAL DATA MINING TOOLS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 11. GLOBAL DATA MINING TOOLS MARKET FOR BFSI, BY REGION, 2022-2032 ($MILLION)
  • TABLE 12. GLOBAL DATA MINING TOOLS MARKET FOR RETAIL E-COMMERCE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 13. GLOBAL DATA MINING TOOLS MARKET FOR MANUFACTURING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 14. GLOBAL DATA MINING TOOLS MARKET FOR GOVERNMENT DEFENSE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 15. GLOBAL DATA MINING TOOLS MARKET FOR ENERGY UTILITIES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 16. GLOBAL DATA MINING TOOLS MARKET FOR IT AND TELECOM, BY REGION, 2022-2032 ($MILLION)
  • TABLE 17. GLOBAL DATA MINING TOOLS MARKET FOR EDUCATION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 18. GLOBAL DATA MINING TOOLS MARKET FOR EDUCATION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 19. GLOBAL DATA MINING TOOLS MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 20. GLOBAL DATA MINING TOOLS MARKET, BY REGION, 2022-2032 ($MILLION)
  • TABLE 21. NORTH AMERICA DATA MINING TOOLS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 22. NORTH AMERICA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 23. NORTH AMERICA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 24. NORTH AMERICA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 25. NORTH AMERICA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 26. U.S. DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 27. U.S. DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 28. U.S. DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 29. U.S. DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 30. CANADA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 31. CANADA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 32. CANADA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 33. CANADA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 34. MEXICO DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 35. MEXICO DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 36. MEXICO DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 37. MEXICO DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 38. EUROPE DATA MINING TOOLS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 39. EUROPE DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 40. EUROPE DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 41. EUROPE DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 42. EUROPE DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 43. FRANCE DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 44. FRANCE DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 45. FRANCE DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 46. FRANCE DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 47. GERMANY DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 48. GERMANY DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 49. GERMANY DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 50. GERMANY DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 51. ITALY DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 52. ITALY DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 53. ITALY DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 54. ITALY DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 55. SPAIN DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 56. SPAIN DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 57. SPAIN DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 58. SPAIN DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 59. UK DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 60. UK DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 61. UK DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 62. UK DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 63. RUSSIA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 64. RUSSIA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 65. RUSSIA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 66. RUSSIA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 67. REST OF EUROPE DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 68. REST OF EUROPE DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 69. REST OF EUROPE DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 70. REST OF EUROPE DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 71. ASIA-PACIFIC DATA MINING TOOLS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 72. ASIA-PACIFIC DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 73. ASIA-PACIFIC DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 74. ASIA-PACIFIC DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 75. ASIA-PACIFIC DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 76. CHINA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 77. CHINA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 78. CHINA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 79. CHINA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 80. JAPAN DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 81. JAPAN DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 82. JAPAN DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 83. JAPAN DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 84. INDIA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 85. INDIA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 86. INDIA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 87. INDIA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 88. SOUTH KOREA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 89. SOUTH KOREA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 90. SOUTH KOREA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 91. SOUTH KOREA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 92. AUSTRALIA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 93. AUSTRALIA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 94. AUSTRALIA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 95. AUSTRALIA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 96. THAILAND DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 97. THAILAND DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 98. THAILAND DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 99. THAILAND DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 100. MALAYSIA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 101. MALAYSIA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 102. MALAYSIA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 103. MALAYSIA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 104. INDONESIA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 105. INDONESIA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 106. INDONESIA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 107. INDONESIA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 108. REST OF ASIA PACIFIC DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 109. REST OF ASIA PACIFIC DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 110. REST OF ASIA PACIFIC DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 111. REST OF ASIA PACIFIC DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 112. LAMEA DATA MINING TOOLS, BY REGION, 2022-2032 ($MILLION)
  • TABLE 113. LAMEA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 114. LAMEA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 115. LAMEA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 116. LAMEA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 117. BRAZIL DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 118. BRAZIL DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 119. BRAZIL DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 120. BRAZIL DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 121. SOUTH AFRICA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 122. SOUTH AFRICA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 123. SOUTH AFRICA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 124. SOUTH AFRICA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 125. SAUDI ARABIA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 126. SAUDI ARABIA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 127. SAUDI ARABIA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 128. SAUDI ARABIA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 129. UAE DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 130. UAE DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 131. UAE DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 132. UAE DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 133. ARGENTINA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 134. ARGENTINA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 135. ARGENTINA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 136. ARGENTINA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 137. REST OF LAMEA DATA MINING TOOLS, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 138. REST OF LAMEA DATA MINING TOOLS, BY DEPLOYMENT MODE, 2022-2032 ($MILLION)
  • TABLE 139. REST OF LAMEA DATA MINING TOOLS, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 140. REST OF LAMEA DATA MINING TOOLS, BY INDUSTRY VERTICAL, 2022-2032 ($MILLION)
  • TABLE 141. IBM CORPORATION: KEY EXECUTIVES
  • TABLE 142. IBM CORPORATION: COMPANY SNAPSHOT
  • TABLE 143. IBM CORPORATION: OPERATING SEGMENTS
  • TABLE 144. IBM CORPORATION: PRODUCT PORTFOLIO
  • TABLE 145. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 146. MICROSOFT CORPORATION: KEY EXECUTIVES
  • TABLE 147. MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 148. MICROSOFT CORPORATION: OPERATING SEGMENTS
  • TABLE 149. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 150. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 151. ORACLE CORPORATION: KEY EXECUTIVES
  • TABLE 152. ORACLE CORPORATION: COMPANY SNAPSHOT
  • TABLE 153. ORACLE CORPORATION: OPERATING SEGMENTS
  • TABLE 154. ORACLE CORPORATION: PRODUCT PORTFOLIO
  • TABLE 155. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 156. INTEL CORPORATION: KEY EXECUTIVES
  • TABLE 157. INTEL CORPORATION: COMPANY SNAPSHOT
  • TABLE 158. INTEL CORPORATION: OPERATING SEGMENTS
  • TABLE 159. INTEL CORPORATION: PRODUCT PORTFOLIO
  • TABLE 160. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 161. TERADATA: KEY EXECUTIVES
  • TABLE 162. TERADATA: COMPANY SNAPSHOT
  • TABLE 163. TERADATA: OPERATING SEGMENTS
  • TABLE 164. TERADATA: PRODUCT PORTFOLIO
  • TABLE 165. TERADATA: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 166. SAS INSTITUTE INC.: KEY EXECUTIVES
  • TABLE 167. SAS INSTITUTE INC.: COMPANY SNAPSHOT
  • TABLE 168. SAS INSTITUTE INC.: OPERATING SEGMENTS
  • TABLE 169. SAS INSTITUTE INC.: PRODUCT PORTFOLIO
  • TABLE 170. SAS INSTITUTE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 171. SAP SE: KEY EXECUTIVES
  • TABLE 172. SAP SE: COMPANY SNAPSHOT
  • TABLE 173. SAP SE: OPERATING SEGMENTS
  • TABLE 174. SAP SE: PRODUCT PORTFOLIO
  • TABLE 175. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 176. FAIR ISAAC CORPORATION: KEY EXECUTIVES
  • TABLE 177. FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
  • TABLE 178. FAIR ISAAC CORPORATION: OPERATING SEGMENTS
  • TABLE 179. FAIR ISAAC CORPORATION: PRODUCT PORTFOLIO
  • TABLE 180. FAIR ISAAC CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 181. RAPIDMINER INC.: KEY EXECUTIVES
  • TABLE 182. RAPIDMINER INC.: COMPANY SNAPSHOT
  • TABLE 183. RAPIDMINER INC.: OPERATING SEGMENTS
  • TABLE 184. RAPIDMINER INC.: PRODUCT PORTFOLIO
  • TABLE 185. RAPIDMINER INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 186. MEGAPUTER INTELLIGENCE INC.: KEY EXECUTIVES
  • TABLE 187. MEGAPUTER INTELLIGENCE INC.: COMPANY SNAPSHOT
  • TABLE 188. MEGAPUTER INTELLIGENCE INC.: OPERATING SEGMENTS
  • TABLE 189. MEGAPUTER INTELLIGENCE INC.: PRODUCT PORTFOLIO
  • TABLE 190. MEGAPUTER INTELLIGENCE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • LIST OF FIGURES

  • FIGURE 1. GLOBAL DATA MINING TOOLS MARKET SEGMENTATION
  • FIGURE 2. GLOBAL DATA MINING TOOLS MARKET
  • FIGURE 3. SEGMENTATION DATA MINING TOOLS MARKET
  • FIGURE 4. TOP INVESTMENT POCKET IN DATA MINING TOOLS MARKET
  • FIGURE 5. MODERATE BARGAINING POWER OF BUYERS
  • FIGURE 6. MODERATE BARGAINING POWER OF SUPPLIERS
  • FIGURE 7. MODERATE THREAT OF NEW ENTRANTS
  • FIGURE 8. LOW THREAT OF SUBSTITUTION
  • FIGURE 9. HIGH COMPETITIVE RIVALRY
  • FIGURE 10. OPPORTUNITIES, RESTRAINTS AND DRIVERS: GLOBALDATA MINING TOOLS MARKET
  • FIGURE 11. DATA MINING TOOLS MARKET SEGMENTATION, BY BY COMPONENT
  • FIGURE 12. DATA MINING TOOLS MARKET FOR TOOLS, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 13. DATA MINING TOOLS MARKET FOR SERVICES, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 14. DATA MINING TOOLS MARKET SEGMENTATION, BY BY DEPLOYMENT MODE
  • FIGURE 15. DATA MINING TOOLS MARKET FOR ON-PREMISE, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 16. DATA MINING TOOLS MARKET FOR CLOUD, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 17. DATA MINING TOOLS MARKET SEGMENTATION, BY BY ORGANIZATION SIZE
  • FIGURE 18. DATA MINING TOOLS MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 19. DATA MINING TOOLS MARKET FOR SMALL AND MEDIUM ENTERPRISES, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 20. DATA MINING TOOLS MARKET SEGMENTATION, BY BY INDUSTRY VERTICAL
  • FIGURE 21. DATA MINING TOOLS MARKET FOR BFSI, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 22. DATA MINING TOOLS MARKET FOR RETAIL E-COMMERCE, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 23. DATA MINING TOOLS MARKET FOR MANUFACTURING, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 24. DATA MINING TOOLS MARKET FOR GOVERNMENT DEFENSE, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 25. DATA MINING TOOLS MARKET FOR ENERGY UTILITIES, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 26. DATA MINING TOOLS MARKET FOR IT AND TELECOM, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 27. DATA MINING TOOLS MARKET FOR EDUCATION, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 28. DATA MINING TOOLS MARKET FOR EDUCATION, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 29. DATA MINING TOOLS MARKET FOR OTHERS, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 30. TOP WINNING STRATEGIES, BY YEAR, 2020-2022*
  • FIGURE 31. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2020-2022*
  • FIGURE 32. TOP WINNING STRATEGIES, BY COMPANY, 2020-2022*
  • FIGURE 33. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 34. COMPETITIVE DASHBOARD
  • FIGURE 35. COMPETITIVE HEATMAP: DATA MINING TOOLS MARKET
  • FIGURE 36. Top player positioning, 2022
  • FIGURE 37. IBM CORPORATION: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 38. IBM CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 39. IBM CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 40. MICROSOFT CORPORATION: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 41. MICROSOFT CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 42. MICROSOFT CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 43. ORACLE CORPORATION: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 44. ORACLE CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 45. ORACLE CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 46. INTEL CORPORATION: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 47. INTEL CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 48. INTEL CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 49. TERADATA: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 50. TERADATA: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 51. TERADATA: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 52. SAS INSTITUTE INC.: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 53. SAS INSTITUTE INC.: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 54. SAS INSTITUTE INC.: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 55. SAP SE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 56. SAP SE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 57. SAP SE: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 58. FAIR ISAAC CORPORATION: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 59. FAIR ISAAC CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 60. FAIR ISAAC CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 61. RAPIDMINER INC.: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 62. RAPIDMINER INC.: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 63. RAPIDMINER INC.: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 64. MEGAPUTER INTELLIGENCE INC.: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 65. MEGAPUTER INTELLIGENCE INC.: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 66. MEGAPUTER INTELLIGENCE INC.: REVENUE SHARE, BY REGION, 2032 (%)

 
 
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Customization

On-demand customization of scope of the report to exactly meet your needs

TARGETED MARKET VIEW

Targeted market view to provide pertinent information and save time of readers