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Global Data Mining Tools Market by Component (Services, Software), Business Function (Finance, Marketing, Operations), Deployment Type, Organization Size, End-User - Forecast 2024-2030

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    Report

  • 184 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 5888665
UP TO OFF until Dec 31st 2024
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The Data Mining Tools Market size was estimated at USD 925.35 million in 2023, USD 1,019.73 million in 2024, and is expected to grow at a CAGR of 10.74% to reach USD 1,890.70 million by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Data Mining Tools Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Mining Tools Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Data Mining Tools Market, highlighting leading vendors and their innovative profiles. These include Aimleap Private Limited, Altair Engineering Inc, Alteryx, Inc., ChapsVision Group, Crawlbase, H2O.ai, Inc., IBM Corporation, Indigo DQM, KNIME GmbH, mindzie, inc., Mozenda, Inc., NCR Corporation, Octopus Data Inc., Oracle Corporation, Orange S.A., QlikTech International AB, SAS Institute Inc., Sisense Ltd., TIBCO by Cloud Software Group, Inc., Togaware Pty Ltd., vPhrase Analytics Solutions Private Limited, Weka.io, Inc., and Wolfram Research, Inc.

Market Segmentation & Coverage

This research report categorizes the Data Mining Tools Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Services
      • Managed Services
      • Professional Services
    • Software
  • Business Function
    • Finance
    • Marketing
    • Operations
    • Supply Chain & Logistics
  • Deployment Type
    • Cloud
    • On-Premises
  • Organization Size
    • Large Enterprises
    • Small & Medium-Sized Enterprises
  • End-User
    • BFSI
    • Energy & Utilities
    • Government & Defense
    • Healthcare & Life Sciences
    • Manufacturing
    • Retail
    • Telecommunication & IT
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as

  1. What is the market size and forecast of the Data Mining Tools Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Mining Tools Market?
  3. What are the technology trends and regulatory frameworks in the Data Mining Tools Market?
  4. What is the market share of the leading vendors in the Data Mining Tools Market?
  5. Which modes and strategic moves are suitable for entering the Data Mining Tools Market?

Please note: For this report, the purchase of an Enterprise license allows up to ten worldwide users of an organization access to the report

Please note: This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.

This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Data Mining Tools Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing volume of data generated across enterprises
5.1.1.2. Rise in data-driven decision making strategies across organizations
5.1.1.3. Expanion of cloud computing services and increasing demand for predictive analytics
5.1.2. Restraints
5.1.2.1. Issues of accuracy and high costs associated with data mining tools
5.1.3. Opportunities
5.1.3.1. Emergence of next-generation data mining tools advanced analytics solutions
5.1.3.2. Growing adoption of big data analytics and artificial intelligence
5.1.4. Challenges
5.1.4.1. Concerns associated with data security and privacy
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Data Mining Tools Market, by Component
6.1. Introduction
6.2. Services
6.3.1. Managed Services
6.3.2. Professional Services
6.3. Software
7. Data Mining Tools Market, by Business Function
7.1. Introduction
7.2. Finance
7.3. Marketing
7.4. Operations
7.5. Supply Chain & Logistics
8. Data Mining Tools Market, by Deployment Type
8.1. Introduction
8.2. Cloud
8.3. On-Premises
9. Data Mining Tools Market, by Organization Size
9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium-Sized Enterprises
10. Data Mining Tools Market, by End-User
10.1. Introduction
10.2. BFSI
10.3. Energy & Utilities
10.4. Government & Defense
10.5. Healthcare & Life Sciences
10.6. Manufacturing
10.7. Retail
10.8. Telecommunication & IT
11. Americas Data Mining Tools Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Data Mining Tools Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa Data Mining Tools Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.2. Market Share Analysis, By Key Player
14.3. Competitive Scenario Analysis, By Key Player
15. Competitive Portfolio
15.1. Key Company Profiles
15.1.1. Aimleap Private Limited
15.1.2. Altair Engineering Inc
15.1.3. Alteryx, Inc.
15.1.4. ChapsVision Group
15.1.5. Crawlbase
15.1.6. H2O.ai, Inc.
15.1.7. IBM Corporation
15.1.8. Indigo DQM
15.1.9. KNIME GmbH
15.1.10. mindzie, inc.
15.1.11. Mozenda, Inc.
15.1.12. NCR Corporation
15.1.13. Octopus Data Inc.
15.1.14. Oracle Corporation
15.1.15. Orange S.A.
15.1.16. QlikTech International AB
15.1.17. SAS Institute Inc.
15.1.18. Sisense Ltd.
15.1.19. TIBCO by Cloud Software Group, Inc.
15.1.20. Togaware Pty Ltd.
15.1.21. vPhrase Analytics Solutions Private Limited
15.1.22. Weka.io, Inc.
15.1.23. Wolfram Research, Inc.
15.2. Key Product Portfolio
16. Appendix
16.1. Discussion Guide
16.2. License & Pricing
List of Figures
FIGURE 1. DATA MINING TOOLS MARKET RESEARCH PROCESS
FIGURE 2. DATA MINING TOOLS MARKET SIZE, 2023 VS 2030
FIGURE 3. DATA MINING TOOLS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. DATA MINING TOOLS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. DATA MINING TOOLS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. DATA MINING TOOLS MARKET DYNAMICS
FIGURE 7. DATA MINING TOOLS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. DATA MINING TOOLS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2030 (%)
FIGURE 10. DATA MINING TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2030 (%)
FIGURE 12. DATA MINING TOOLS MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
FIGURE 14. DATA MINING TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. DATA MINING TOOLS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 16. DATA MINING TOOLS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. AMERICAS DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 18. AMERICAS DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. UNITED STATES DATA MINING TOOLS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 20. UNITED STATES DATA MINING TOOLS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. ASIA-PACIFIC DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. ASIA-PACIFIC DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. EUROPE, MIDDLE EAST & AFRICA DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 24. EUROPE, MIDDLE EAST & AFRICA DATA MINING TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 25. DATA MINING TOOLS MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 26. DATA MINING TOOLS MARKET SHARE, BY KEY PLAYER, 2023

Companies Mentioned

  • Aimleap Private Limited
  • Altair Engineering Inc
  • Alteryx, Inc.
  • ChapsVision Group
  • Crawlbase
  • H2O.ai, Inc.
  • IBM Corporation
  • Indigo DQM
  • KNIME GmbH
  • mindzie, inc.
  • Mozenda, Inc.
  • NCR Corporation
  • Octopus Data Inc.
  • Oracle Corporation
  • Orange S.A.
  • QlikTech International AB
  • SAS Institute Inc.
  • Sisense Ltd.
  • TIBCO by Cloud Software Group, Inc.
  • Togaware Pty Ltd.
  • vPhrase Analytics Solutions Private Limited
  • Weka.io, Inc.
  • Wolfram Research, Inc.

Methodology

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