Data Mining Tools Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Data Mining Tools Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Data Mining Tools Market

The global data mining tools market size was valued at USD 1.01 billion in 2023. The market is projected to grow from USD 1.13 billion in 2024 to USD 2.99 billion by 2032, exhibiting a CAGR of 12.9% during the forecast period from 2024 to 2032.

Businesses have been using mining technologies to study massive web datasets as a result of the COVID-19 epidemic. Data turned furnished by means of social media and healthcare carriers, which extended the extent of records and substantially increased the marketplace's growth for information mining technology.

Enterprises are an increasing number of making an investment in records mining equipment to decorate purchaser delight amid rising business complexities and hard opposition. These gear help organizations are expecting trends and gain insights into purchaser choices, top product segments, and pleasure degrees, enabling them to broaden powerful future strategies.

Industries like logistics and transportation are changing speedy due to era breakthroughs, especially in gadget learning and artificial intelligence. According to a 2023 Industrial Insights studies, the adoption of telematics, data mining, and different modern technology with the aid of 65% of senior executives ended in top notch adjustments that fueled enterprise expansion.

Comprehensive Analysis of Data Mining ToolsMarket

Segmentation in the Data Mining Tools market share is driving the market because it allows companies to target specific customer groups with tailored services and solutions. The data mining tools market is classified into several segments based on deployment, enterprise type, industry, and application. By deployment, it includes cloud and on-premise solutions. Enterprise types are divided into large enterprises and small & medium enterprises. The market serves various industries such as BFSI, healthcare, retail, IT & telecom, manufacturing, education, government, and others. Applications of data mining tools encompass marketing, supply chain & procurement, intrusion detection, business transactions, and more.

North America leads the marketplace due to the emergence of advanced technology like AI, gadget mastering, and IoT. The U.S. Drives this fashion with early tech adoption, great information technology, and several key marketplace players, boosting demand for statistics evaluation and sample recognition.

Key players in the Data Mining Tools market drive expansion through strategic partnerships, acquisitions, and innovative products, aiming to maintain dominance across regions and enhance global service reach.Key players in the data mining tools market include IBM Corporation (U.S.), Teradata Corporation (U.S.), Kaggle (Google LLC) (U.S.), KNIME AG (Switzerland), Sisense Inc. (U.S.), SAS Institute Inc. (U.S.), Rattle GUI (Togaware Pty Ltd) (Australia), Altair Engineering Inc. (RapidMiner) (U.S.), Oracle Corporation (U.S.), and Orange (Ljubljana).

In May 2023, WiMi Hologram Cloud Inc. rolled out a cool new data interaction system that mixes neural networks with data mining. It boosts real-time interactions and keeps information transfer reliable and safe.

Segmentation Table

Global Data Mining Tools Market Scope

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

CAGR CAGR of 12.9 % from 2024 to 2032

Unit Value (USD billion)

Segmentation By Deployment

On-Premise

Cloud

By Enterprise Type

Large Enterprises

Small & Medium Enterprises

By Industry

BFSI

Healthcare

Retail

IT & Telecom

Manufacturing

Education

Government

Others (Automotive)

By Application

Marketing

Supply Chain & Procurement

Intrusion Detection

Business Transaction

Others (Financial Analysis)

By Region

North America (By Deployment, By Enterprise Type, By Industry, By Application, and By Country)

- U.S. (By Industry)

- Canada (By Industry)

- Mexico (By Industry)

South America (By Deployment, By Enterprise Type, By Industry, By Application, and By Country)

- Brazil (By Industry)

- Argentina (By Industry)

- Rest of South America

Europe (By Deployment, By Enterprise Type, By Industry, By Application, and By Country)

- U.K. (By Industry)

- Germany (By Industry)

- France (By Industry)

- Italy (By Industry)

- Spain (By Industry)

- Russia (By Industry)

- Benelux (By Industry)

- Nordics (By Industry)

- Rest of Europe

Middle East & Africa (By Deployment, By Enterprise Type, By Industry, By Application, and By Country)

- Turkey (By Industry)

- Israel (By Industry)

- GCC (By Industry)

- North Africa (By Industry)

- South Africa (By Industry)

- Rest of MEA

Asia Pacific (By Deployment, By Enterprise Type, By Industry, By Application, and By Country)

- China (By Industry)

- Japan (By Industry)

- India (By Industry)

- South Korea (By Industry)

- ASEAN (By Industry)

- Oceania (By Industry)

- Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Data Mining Tools Key Players Market Share Insights and Analysis, 2023
5. Global Data Mining Tools Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Deployment (USD)
5.2.1. On-Premises
5.2.2. Cloud
5.3. By Enterprise Type (USD)
5.3.1. Large Enterprises
5.3.2. Small & Medium Enterprises
5.4. By Industry (USD)
5.4.1. BFSI
5.4.2. Healthcare
5.4.3. Retail
5.4.4. IT & Telecom
5.4.5. Manufacturing
5.4.6. Education
5.4.7. Government
5.4.8. Others (Automotive, etc.)
5.5. By Application (USD)
5.5.1. Marketing
5.5.2. Supply Chain and Procurement
5.5.3. Intrusion Detection
5.5.4. Business Transaction
5.5.5. Others (Financial Analysis, etc.)
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East & Africa
5.6.5. Asia Pacific
6. North America Data Mining Tools Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Deployment (USD)
6.2.1. On-Premises
6.2.2. Cloud
6.3. By Enterprise Type (USD)
6.3.1. Large Enterprises
6.3.2. Small & Medium Enterprises
6.4. By Industry (USD)
6.4.1. BFSI
6.4.2. Healthcare
6.4.3. Retail
6.4.4. IT & Telecom
6.4.5. Manufacturing
6.4.6. Education
6.4.7. Government
6.4.8. Others (Automotive, etc.)
6.5. By Application (USD)
6.5.1. Marketing
6.5.2. Supply Chain and Procurement
6.5.3. Intrusion Detection
6.5.4. Business Transaction
6.5.5. Others (Financial Analysis, etc.)
6.6. By Country (USD)
6.6.1. United States
6.6.1.1. By Industry
6.6.2. Canada
6.6.2.1. By Industry
6.6.3. Mexico
6.6.3.1. By Industry
7. South America Data Mining Tools Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Deployment (USD)
7.2.1. On-Premises
7.2.2. Cloud
7.3. By Enterprise Type (USD)
7.3.1. Large Enterprises
7.3.2. Small & Medium Enterprises
7.4. By Industry (USD)
7.4.1. BFSI
7.4.2. Healthcare
7.4.3. Retail
7.4.4. IT & Telecom
7.4.5. Manufacturing
7.4.6. Education
7.4.7. Government
7.4.8. Others (Automotive, etc.)
7.5. By Application (USD)
7.5.1. Marketing
7.5.2. Supply Chain and Procurement
7.5.3. Intrusion Detection
7.5.4. Business Transaction
7.5.5. Others (Financial Analysis, etc.)
7.6. By Country (USD)
7.6.1. Brazil
7.6.1.1. By Industry
7.6.2. Argentina
7.6.2.1. By Industry
7.6.3. Rest of South America
8. Europe Data Mining Tools Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Deployment (USD)
8.2.1. On-Premises
8.2.2. Cloud
8.3. By Enterprise Type (USD)
8.3.1. Large Enterprises
8.3.2. Small & Medium Enterprises
8.4. By Industry (USD)
8.4.1. BFSI
8.4.2. Healthcare
8.4.3. Retail
8.4.4. IT & Telecom
8.4.5. Manufacturing
8.4.6. Education
8.4.7. Government
8.4.8. Others (Automotive, etc.)
8.5. By Application (USD)
8.5.1. Marketing
8.5.2. Supply Chain and Procurement
8.5.3. Intrusion Detection
8.5.4. Business Transaction
8.5.5. Others (Financial Analysis, etc.)
8.6. By Country (USD)
8.6.1. United Kingdom
8.6.1.1. By Industry
8.6.2. Germany
8.6.2.1. By Industry
8.6.3. France
8.6.3.1. By Industry
8.6.4. Italy
8.6.4.1. By Industry
8.6.5. Spain
8.6.5.1. By Industry
8.6.6. Russia
8.6.6.1. By Industry
8.6.7. Benelux
8.6.7.1. By Industry
8.6.8. Nordics
8.6.8.1. By Industry
8.6.9. Rest of Europe
9. Middle East & Africa Data Mining Tools Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Deployment (USD)
9.2.1. On-Premises
9.2.2. Cloud
9.3. By Enterprise Type (USD)
9.3.1. Large Enterprises
9.3.2. Small & Medium Enterprises
9.4. By Industry (USD)
9.4.1. BFSI
9.4.2. Healthcare
9.4.3. Retail
9.4.4. IT & Telecom
9.4.5. Manufacturing
9.4.6. Education
9.4.7. Government
9.4.8. Others (Automotive, etc.)
9.5. By Application (USD)
9.5.1. Marketing
9.5.2. Supply Chain and Procurement
9.5.3. Intrusion Detection
9.5.4. Business Transaction
9.5.5. Others (Financial Analysis, etc.)
9.6. By Country (USD)
9.6.1. Turkey
9.6.1.1. By Industry
9.6.2. Israel
9.6.2.1. By Industry
9.6.3. GCC
9.6.3.1. By Industry
9.6.4. North Africa
9.6.4.1. By Industry
9.6.5. South Africa
9.6.5.1. By Industry
9.6.6. Rest of MEA
10. Asia Pacific Data Mining Tools Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Deployment (USD)
10.2.1. On-Premises
10.2.2. Cloud
10.3. By Enterprise Type (USD)
10.3.1. Large Enterprises
10.3.2. Small & Medium Enterprises
10.4. By Industry (USD)
10.4.1. BFSI
10.4.2. Healthcare
10.4.3. Retail
10.4.4. IT & Telecom
10.4.5. Manufacturing
10.4.6. Education
10.4.7. Government
10.4.8. Others (Automotive, etc.)
10.5. By Application (USD)
10.5.1. Marketing
10.5.2. Supply Chain and Procurement
10.5.3. Intrusion Detection
10.5.4. Business Transaction
10.5.5. Others (Financial Analysis, etc.)
10.6. By Country (USD)
10.6.1. China
10.6.1.1. By Industry
10.6.2. Japan
10.6.2.1. By Industry
10.6.3. India
10.6.3.1. By Industry
10.6.4. South Korea
10.6.4.1. By Industry
10.6.5. ASEAN
10.6.5.1. By Industry
10.6.6. Oceania
10.6.6.1. By Industry
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Oracle Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. IBM Corporation
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. KNIME AG
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Altair Engineering Inc. (RapidMiner)
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Orange
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Rattle GUI (Togaware Pty Ltd)
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Sisense Inc.
11.7.1.
11.7.1.1. Overview
11.7.1.2. Key Management
11.7.1.3. Headquarters
11.7.1.4. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Kaggle (Google LLC)
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. SAS Institute Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Teradata Corporation
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaway

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