DATA MINING SOFTWARE MARKET ANALYSIS BY TYPE, APPLICATION, REGIONS AND COMPANIES FORECAST

  2024-09-13 |   Pages: 200+ |   Report ID: WR-2024-09-13-197405 |   Technology

Historical data: 2018 - 2023

Forecast period: 2024 - 2031

Quantitative units: Revenue in USD million and CAGR from 2024 to 2031

Report coverage: Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Data Mining Software Market

Image

1.1 SCOPE OF THE REPORT

1.2 MARKET SEGMENT ANALYSIS

1.3 REGULATORY SCENARIO BY REGION/COUNTRY

1.4 MARKET INVESTMENT SCENARIO STRATEGIC

1.5 MARKET ANALYSIS BY TYPE (USD MILLION)

1.6 MARKET ANALYSIS BY APPLICATION (USD MILLION)

2.1 DRIVER, RESTRAINT, CHALLENGE AND OPPORTUNITIES ANALYSIS

  2.1.1 MARKET DRIVER ANALYSIS

  2.1.2 MARKET RESTRAINT ANALYSIS

  2.1.3 MARKET OPPORTUNITY

  2.1.4 MARKET CHALLENGES

3.1 INDUSTRY TRENDS

  3.1.1 SWOT ANALYSIS

  3.1.2 PESTEL ANALYSIS

  3.1.3 PORTER’S FIVE FORCES ANALYSIS

3.2 POTENTIAL MARKET AND GROWTH POTENTIAL ANALYSIS

4.1 COVID-19 ANALYSIS

5.1 GLOBAL DATA MINING SOFTWARE MARKET, SALES AREA, TYPE

5.2 MERGERS & ACQUISITIONS, PARTNERSHIPS, PRODUCT LAUNCH, AND COLLABORATION IN GLOBAL DATA MINING SOFTWARE MARKET

7.1 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE (2018-2031) (USD MILLION)

8.1 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2018-2023) (USD MILLION)

8.2 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2024-2031) (USD MILLION)

9.1 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2018-2023) (USD MILLION)

9.2 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2024-2031) (USD MILLION)

10.1 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE BY REGION (2018-2023) (USD MILLION)

10.2 GLOBAL DATA MINING SOFTWARE MARKET SIZE AND SHARE BY REGION (2024-2031) (USD MILLION)

11.1 NORTH AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2018-2023) (USD MILLION)

11.2 NORTH AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2024-2031) (USD MILLION)

11.3 NORTH AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2018-2023) (USD MILLION)

11.4 NORTH AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2024-2031) (USD MILLION)

11.5 NORTH AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2018-2023) (USD MILLION)

11.6 NORTH AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2024-2031) (USD MILLION)

12.1 EUROPE DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2018-2023) (USD MILLION)

12.2 EUROPE DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2024-2031) (USD MILLION)

12.3 EUROPE DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2018-2023) (USD MILLION)

12.4 EUROPE DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2024-2031) (USD MILLION)

12.5 EUROPE DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2018-2023) (USD MILLION)

12.6 EUROPE DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2024-2031) (USD MILLION)

13.1 ASIA PACIFIC DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2018-2023) (USD MILLION)

13.2 ASIA PACIFIC DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2024-2031) (USD MILLION)

13.3 ASIA PACIFIC DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2018-2023) (USD MILLION)

13.4 ASIA PACIFIC DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2024-2031) (USD MILLION)

13.5 ASIA PACIFIC DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2018-2023) (USD MILLION)

13.6 ASIA PACIFIC DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2024-2031) (USD MILLION)

14.1 LATIN AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2018-2023) (USD MILLION)/p>

14.2 LATIN AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2024-2031) (USD MILLION)

14.3 LATIN AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2018-2023) (USD MILLION)

14.4 LATIN AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2024-2031) (USD MILLION)

14.5 LATIN AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2018-2023) (USD MILLION)

14.6 LATIN AMERICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2024-2031) (USD MILLION)

15.1 MIDDLE EAST & AFRICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2018-2023) (USD MILLION)

15.2 MIDDLE EAST & AFRICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY COUNTRY (2024-2031) (USD MILLION)

15.3 MIDDLE EAST & AFRICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2018-2023) (USD MILLION)

15.4 MIDDLE EAST & AFRICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY TYPE (2024-2031) (USD MILLION)

15.5 MIDDLE EAST & AFRICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2018-2023) (USD MILLION)

15.6 MIDDLE EAST & AFRICA DATA MINING SOFTWARE MARKET SIZE AND SHARE BY APPLICATION (2024-2031)< (USD MILLION)/p>

16.1 IBM [United States]

  16.1.1 COMPANY DETAILS

  16.1.2 FINANCIALS (USD MILLION)

  16.1.3 PRODUCT SUMMARY

  16.1.4 RECENT DEVELOPMENTS

16.2 RapidMiner [United States]

16.3 GMDH [United States]

16.4 SAS Institute [United States]

16.5 Oracle [United States]

16.6 Apteco [United Kingdom]

16.7 University of Ljubljana [Slovenia]

16.8 Salford Systems [United States]

16.9 Lexalytics [United States]

16.10 Intel [United States]

16.11 SAP SE [Germany]

16.12 KNIME [Switzerland]

16.13 Teradata [United States]

16.14 MathWorks [United States]

16.15 H2O.ai [United States]

16.16 Alteryx [United States]

16.17 FICO [United States]

16.18 Angoss [Canada]

16.19 Salford Systems [United States]

16.20 BlueGranite [United States]

16.21 Megaputer [United States]

16.22 Biomax Informatics [Germany]

16.23 Frontline Systems [United States]

16.24 Dataiku [France]

16.25 Wolfram [United States]

16.26 Reltio [United States]

16.27 SenticNet [Singapore]

16.28 Business Insight [Belgium]

16.29 SunTec India [Delhi]

18.1 METHODOLOGY

18.2 RESEARCH DATA SOURCE

  18.2.1 SECONDARY DATA

  18.2.2 KEY DATA FROM SECONDARY

  18.2.3 PRIMARY DATA

  18.2.4 KEY DATA FROM PRIMARY

  18.2.5 INDUSTRY INSIGHT FROM PROFESSIONAL LEADERS

  18.2.6 MARKET ESTIMATION

  18.2.7 MARKET ESTIMATION: TOP-DOWN AND BOTTOM-UP APPROACH

  18.2.8 LEGAL DISCLAIMER

Market Segments

By Application
Financial Data Analysis
Retail Industry
Telecommunication Industry
Biological Data Analysis
Other Scientific Applications
Intrusion Detection

By Services
Managed services
Consulting and implementation
Others (Support and Maintenance
Training and Education)

By Enterprise Size
Large Enterprises
Small and Medium-Sized Enterprises

By Deployment Type
On-premises
Cloud

By Industry Vertical
Retail
Banking, Financial Services, and Insurance (BFSI)
Healthcare and life sciences
Telecom and IT
Government and defense
Energy and Utilities
Manufacturing
Others (Education, and Media and Entertainment)

Companies

IBM [United States]
RapidMiner [United States]
GMDH [United States]
SAS Institute [United States]
Oracle [United States]
Apteco [United Kingdom]
University of Ljubljana [Slovenia]
Salford Systems [United States]
Lexalytics [United States]
Intel [United States]
SAP SE [Germany]
KNIME [Switzerland]
Teradata [United States]
MathWorks [United States]
H2O.ai [United States]
Alteryx [United States]
FICO [United States]
Angoss [Canada]
Salford Systems [United States]
BlueGranite [United States]
Megaputer [United States]
Biomax Informatics [Germany]
Frontline Systems [United States]
Dataiku [France]
Wolfram [United States]
Reltio [United States]
SenticNet [Singapore]
Business Insight [Belgium]
SunTec India [Delhi]

BROWSE INDUSTRY

  1. Consumer Goods
  2. Healthcare
  3. Food & Beverage
  4. Heavy Industry
  5. Service Industries
  6. FMCG
  7. Life Sciences
  8. Technology & Media
  9. Machinery & Equipment

    WHY CHOOSE US

  •   PROACTIVE
  • We manage our resources 24/7 to identify issues and address them before they become problems.

  •   QUALITY & RELIABILITY
  • We are committed to providing reliable and highly accurate data with an excellent quality control system.

  •   GLOBAL OUTREACH
  • 6 Major regions and 40+ countries level analysis accomplished.

  •   COMPETITIVE PRICING
  • Our pricing strategy is highly competitive in the market, without compensating on the quality and the timeline of project delivery.