데이터 마이닝 툴 시장 : 세계 및 지역 분석 - 최종 용도, 조직, 도입 유형, 비지니스 기능, 컴포넌트, 지역별 분석과 예측(2024-2034년)

Introduction to the Data Mining Tools Market

The data mining tools market is experiencing significant growth, fueled by various key factors and market drivers. In an optimistic projection, the market is expected to be valued at $1.24 billion in 2024, with an anticipated expansion at a CAGR of 11.63% to reach $3.73 billion by 2034.

A primary catalyst for this growth is the increasing recognition of the advantages offered by advanced data mining tools in enhancing data analysis capabilities and driving informed decision-making across different industries. Advanced data mining tools play a pivotal role in extracting valuable insights from large and complex datasets, enabling organizations to uncover hidden patterns, trends, and correlations that can drive business success.

Moreover, the escalating focus on data-driven decision-making and the need for actionable insights are propelling the adoption of advanced data mining tools in various sectors. With businesses increasingly relying on data to gain a competitive edge and improve operational efficiency, there is a growing demand for sophisticated data mining solutions that can handle diverse data types and provide accurate and timely insights.

Furthermore, continuous technological advancements and innovations in data mining algorithms and techniques are driving market expansion. Key players in the data mining tools sector, such as Microsoft, IBM, and Oracle are leading the development of innovative solutions tailored to the evolving needs of businesses. Their expertise in data science, machine learning, and analytics, coupled with a customer-centric approach, are instrumental in shaping the data mining tools market landscape.

In summary, the data mining tools market is witnessing robust growth, driven by the increasing recognition of its benefits, the growing demand for data-driven insights, and continuous technological advancements, all supported by the proactive efforts of industry leaders to deliver innovative solutions.

Market Segmentation:

Segmentation 1: by End-Use

• Retail
• Banking, Financial Services, and Insurance (BFSI)
• Healthcare and Life Sciences
• Telecom and IT
• Government and Defense
• Energy and Utilities
• Manufacturing
• Others

Segmentation 2: by Organization

• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)

Segmentation 3: by Deployment Type

• On-premises
• Cloud

Segmentation 4: by Business Function

• Marketing
• Finance
• Supply Chain and Logistics
• Operations

Segmentation 5: by Component

• Tools
• Services

Segmentation 6: by Region

• North America
• Europe
• Asia-Pacific
• Rest-of-the-World

How can this Report add value to an Organization?

Product/Innovation Strategy: The global data mining tools market has been extensively segmented based on various categories, such as end-use, organization, business function, deployment type, and component. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.

Competitive Strategy: A detailed competitive benchmarking of the players operating in the global data mining tools market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

• Microsoft
• IBM
• SAS Institute
• Oracle
• Teradata
• MathWorks

Key Questions Answered in this Report:

• What are the main factors driving the demand for data mining tools market?
• What are the major patents filed by the companies active in the data mining tools market?
• Who are the key players in the data mining tools market, and what are their respective market shares?
• What partnerships or collaborations are prominent among stakeholders in the data mining tools market?
• What are the strategies adopted by the key companies to gain a competitive edge in the data mining tools market?
• What is the futuristic outlook for the data mining tools market in terms of growth potential?
• What is the current estimation of the data mining tools market and what growth trajectory is projected from 2024 to 2034?
• Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
• Which regions demonstrate the highest adoption rates for data mining tools market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

• 1.1 Trends: Current and Future Impact Assessment
• 1.2 Supply Chain Overview
  • 1.2.1 Value Chain Analysis
  • 1.2.2 Pricing Forecast
• 1.3 R&D Review
  • 1.3.1 Patent Filing Trend by Country, by Company
• 1.4 Regulatory Landscape
• 1.5 Stakeholder Analysis
  • 1.5.1 Use Case
  • 1.5.2 End User and Buying Criteria
• 1.6 Impact Analysis for Key Global Events
• 1.7 Market Dynamics Overview
  • 1.7.1 Market Drivers
  • 1.7.2 Market Restraints
  • 1.7.3 Market Opportunities

2. Data Mining Tools Market (by Application)

• 2.1 Application Segmentation
• 2.2 Application Summary
• 2.3 Data Mining Tools Market (by End-Use)
  • 2.3.1 Retail
  • 2.3.2 Banking, Financial Services, and Insurance (BFSI)
  • 2.3.3 Healthcare and Life Sciences
  • 2.3.4 Telecom and IT
  • 2.3.5 Government and Defence
  • 2.3.6 Energy and Utilities
  • 2.3.7 Manufacturing
  • 2.3.8 Others
• 2.4 Data Mining Tools Market (by Organization)
  • 2.4.1 Large Enterprises
  • 2.4.2 Small and Medium-sized Enterprises (SMEs)
• 2.5 Data Mining Tools Market (by Deployment Type)
  • 2.5.1 On-premises
  • 2.5.2 Cloud

3. Data Mining Tools Market (by Products)

• 3.1 Product Segmentation
• 3.2 Product Summary
• 3.3 Data Mining Tools Market (by Business Function)
  • 3.3.1 Marketing
  • 3.3.2 Finance
  • 3.3.3 Supply Chain and Logistics
  • 3.3.4 Operations
• 3.4 Data Mining Tools Market (by Component)
  • 3.4.1 Tools
  • 3.4.2 Services

4. Data Mining Tools Market (by Region)

• 4.1 Data Mining Tools Market (by Region)
• 4.2 North America
  • 4.2.1 Regional Overview
  • 4.2.2 Driving Factors for Market Growth
  • 4.2.3 Factors Challenging the Market
  • 4.2.4 Application
  • 4.2.5 Product
  • 4.2.6 U.S.
    • 4.2.6.1 Market by Application
    • 4.2.6.2 Market by Product
  • 4.2.7 Canada
    • 4.2.7.1 Market by Application
    • 4.2.7.2 Market by Product
  • 4.2.8 Mexico
    • 4.2.8.1 Market by Application
    • 4.2.8.2 Market by Product
• 4.3 Europe
  • 4.3.1 Regional Overview
  • 4.3.2 Driving Factors for Market Growth
  • 4.3.3 Factors Challenging the Market
  • 4.3.4 Application
  • 4.3.5 Product
  • 4.3.6 Germany
    • 4.3.6.1 Market by Application
    • 4.3.6.2 Market by Product
  • 4.3.7 France
    • 4.3.7.1 Market by Application
    • 4.3.7.2 Market by Product
  • 4.3.8 U.K.
    • 4.3.8.1 Market by Application
    • 4.3.8.2 Market by Product
  • 4.3.9 Italy
    • 4.3.9.1 Market by Application
    • 4.3.9.2 Market by Product
  • 4.3.10 Rest-of-Europe
    • 4.3.10.1 Market by Application
    • 4.3.10.2 Market by Product
• 4.4 Asia-Pacific
  • 4.4.1 Regional Overview
  • 4.4.2 Driving Factors for Market Growth
  • 4.4.3 Factors Challenging the Market
  • 4.4.4 Application
  • 4.4.5 Product
  • 4.4.6 China
    • 4.4.6.1 Market by Application
    • 4.4.6.2 Market by Product
  • 4.4.7 Japan
    • 4.4.7.1 Market by Application
    • 4.4.7.2 Market by Product
  • 4.4.8 India
    • 4.4.8.1 Market by Application
    • 4.4.8.2 Market by Product
  • 4.4.9 South Korea
    • 4.4.9.1 Market by Application
    • 4.4.9.2 Market by Product
  • 4.4.10 Rest-of-Asia-Pacific
    • 4.4.10.1 Market by Application
    • 4.4.10.2 Market by Product
• 4.5 Rest-of-the-World
  • 4.5.1 Regional Overview
  • 4.5.2 Driving Factors for Market Growth
  • 4.5.3 Factors Challenging the Market
  • 4.5.4 Application
  • 4.5.5 Product
  • 4.5.6 South America
    • 4.5.6.1 Market by Application
    • 4.5.6.2 Market by Product
  • 4.5.7 Middle East and Africa
    • 4.5.7.1 Market by Application
    • 4.5.7.2 Market by Product

5. Companies Profiled

• 5.1 Next Frontiers
• 5.2 Geographic Assessment
  • 5.2.1 Microsoft
    • 5.2.1.1 Overview
    • 5.2.1.2 Top Products/Product Portfolio
    • 5.2.1.3 Top Competitors
    • 5.2.1.4 Target Customers
    • 5.2.1.5 Key Personnel
    • 5.2.1.6 Analyst View
    • 5.2.1.7 Market Share
  • 5.2.2 MathWorks
    • 5.2.2.1 Overview
    • 5.2.2.2 Top Products/Product Portfolio
    • 5.2.2.3 Top Competitors
    • 5.2.2.4 Target Customers
    • 5.2.2.5 Key Personnel
    • 5.2.2.6 Analyst View
    • 5.2.2.7 Market Share
  • 5.2.3 Teradata
    • 5.2.3.1 Overview
    • 5.2.3.2 Top Products/Product Portfolio
    • 5.2.3.3 Top Competitors
    • 5.2.3.4 Target Customers
    • 5.2.3.5 Key Personnel
    • 5.2.3.6 Analyst View
    • 5.2.3.7 Market Share
  • 5.2.4 IBM
    • 5.2.4.1 Overview
    • 5.2.4.2 Top Products/Product Portfolio
    • 5.2.4.3 Top Competitors
    • 5.2.4.4 Target Customers
    • 5.2.4.5 Key Personnel
    • 5.2.4.6 Analyst View
    • 5.2.4.7 Market Share
  • 5.2.5 SAS Institute
    • 5.2.5.1 Overview
    • 5.2.5.2 Top Products/Product Portfolio
    • 5.2.5.3 Top Competitors
    • 5.2.5.4 Target Customers
    • 5.2.5.5 Key Personnel
    • 5.2.5.6 Analyst View
    • 5.2.5.7 Market Share
  • 5.2.6 Oracle
    • 5.2.6.1 Overview
    • 5.2.6.2 Top Products/Product Portfolio
    • 5.2.6.3 Top Competitors
    • 5.2.6.4 Target Customers
    • 5.2.6.5 Key Personnel
    • 5.2.6.6 Analyst View
    • 5.2.6.7 Market Share
  • 5.2.7 H2O.ai
    • 5.2.7.1 Overview
    • 5.2.7.2 Top Products/Product Portfolio
    • 5.2.7.3 Top Competitors
    • 5.2.7.4 Target Customers
    • 5.2.7.5 Key Personnel
    • 5.2.7.6 Analyst View
    • 5.2.7.7 Market Share
  • 5.2.8 Alteryx
    • 5.2.8.1 Overview
    • 5.2.8.2 Top Products/Product Portfolio
    • 5.2.8.3 Top Competitors
    • 5.2.8.4 Target Customers
    • 5.2.8.5 Key Personnel
    • 5.2.8.6 Analyst View
    • 5.2.8.7 Market Share
  • 5.2.9 Intel
    • 5.2.9.1 Overview
    • 5.2.9.2 Top Products/Product Portfolio
    • 5.2.9.3 Top Competitors
    • 5.2.9.4 Target Customers
    • 5.2.9.5 Key Personnel
    • 5.2.9.6 Analyst View
    • 5.2.9.7 Market Share
  • 5.2.10 Rapidminer
    • 5.2.10.1 Overview
    • 5.2.10.2 Top Products/Product Portfolio
    • 5.2.10.3 Top Competitors
    • 5.2.10.4 Target Customers
    • 5.2.10.5 Key Personnel
    • 5.2.10.6 Analyst View
    • 5.2.10.7 Market Share
  • 5.2.11 SAP
    • 5.2.11.1 Overview
    • 5.2.11.2 Top Products/Product Portfolio
    • 5.2.11.3 Top Competitors
    • 5.2.11.4 Target Customers
    • 5.2.11.5 Key Personnel
    • 5.2.11.6 Analyst View
    • 5.2.11.7 Market Share
  • 5.2.12 Knime
    • 5.2.12.1 Overview
    • 5.2.12.2 Top Products/Product Portfolio
    • 5.2.12.3 Top Competitors
    • 5.2.12.4 Target Customers
    • 5.2.12.5 Key Personnel
    • 5.2.12.6 Analyst View
    • 5.2.12.7 Market Share
  • 5.2.13 Salford Systems
    • 5.2.13.1 Overview
    • 5.2.13.2 Top Products/Product Portfolio
    • 5.2.13.3 Top Competitors
    • 5.2.13.4 Target Customers
    • 5.2.13.5 Key Personnel
    • 5.2.13.6 Analyst View
    • 5.2.13.7 Market Share
  • 5.2.14 FICO
    • 5.2.14.1 Overview
    • 5.2.14.2 Top Products/Product Portfolio
    • 5.2.14.3 Top Competitors
    • 5.2.14.4 Target Customers
    • 5.2.14.5 Key Personnel
    • 5.2.14.6 Analyst View
    • 5.2.14.7 Market Share
  • 5.2.15 Blue Granite
    • 5.2.15.1 Overview
    • 5.2.15.2 Top Products/Product Portfolio
    • 5.2.15.3 Top Competitors
    • 5.2.15.4 Target Customers
    • 5.2.15.5 Key Personnel
    • 5.2.15.6 Analyst View
    • 5.2.15.7 Market Share
  • 5.2.16 Other Key Companies

6. Research Methodology