데이터 마이닝 툴 시장 : 세계 및 지역 분석 - 최종 용도, 조직, 도입 유형, 비지니스 기능, 컴포넌트, 지역별 분석과 예측(2024-2034년)
Data Mining Tools Market - A Global and Regional Analysis: Focus on End-Use, Organization, Deployment Type, Business Function, Component, and Region - Analysis and Forecast, 2024-2034
데이터 마이닝 툴 시장은 여러가지 요인 및 시장 촉진요인에 의해 지원되며 큰 성장을 달성하고 있습니다.
데이터 마이닝 툴 시장 규모는 낙관적 예측에서는 2024년 12억 4,000만 달러에서 예측 기간 중 CAGR 11.63%로 추이하며, 2034년에는 37억 3,000만 달러 규모로 성장할 것으로 예측됩니다.
| 주요 시장 통계 |
| 예측 기간 |
2024-2034년 |
| 2024년 평가 |
12억 4,000만 달러 |
| 2034년 예측 |
37억 3,000만 달러 |
| CAGR |
11.63% |
데이터 분석 역량을 강화하고 정보에 입각한 의사결정을 내릴 수 있는 고급 데이터 마이닝 툴의 이점에 대한 인식이 다양한 산업 분야에서 확산되고 있으며, 이는 데이터 마이닝 시장 성장의 주요 요인으로 작용하고 있습니다. 고급 데이터 마이닝 툴은 대규모의 복잡한 데이터 세트에서 귀중한 인사이트을 추출하는 데 매우 중요한 역할을 하며, 기업은 숨겨진 패턴, 트렌드, 상관관계를 발견해 비즈니스 성공으로 이어질 수 있도록 돕습니다.
또한 데이터베이스 의사결정에 대한 관심이 높아지고 실용적인 인사이트에 대한 필요성이 높아지면서 다양한 분야에서 고급 데이터 마이닝 툴을 도입하는 추세입니다. 경쟁 우위를 확보하고 업무 효율성을 개선하기 위해 데이터에 대한 의존도가 높아짐에 따라 다양한 데이터 유형을 처리하고 정확하고 시기적절한 인사이트을 제공할 수 있는 고급 데이터 마이닝 솔루션에 대한 수요가 증가하고 있습니다.
또한 데이터 마이닝 알고리즘과 기술의 지속적인 기술 발전과 혁신도 시장 확대의 원동력이 되고 있습니다. 데이터 마이닝 툴 분야의 주요 기업인 Microsoft, IBM, Oracle 등은 기업의 진화하는 요구에 맞는 혁신적인 솔루션 개발을 주도하고 있습니다. 데이터 과학, 머신러닝, 애널리틱스 전문성과 고객 중심의 접근 방식이 데이터 마이닝 툴 시장의 판도를 바꾸고 있습니다.
세계의 데이터 마이닝 툴 시장을 조사했으며, 업계의 동향, 기술·특허의 동향, 법규제 환경, 사례 연구, 시장 성장 촉진요인·억제요인, 시장 규모의 추이·예측, 각종 구분·지역/주요 국가별 상세 분석, 경쟁 구도, 주요 기업의 개요 등을 정리하여 전해드립니다.
목차
주요 요약
제1장 시장 : 업계 전망
- 동향 : 현재 및 향후 영향 평가
- 공급망의 개요
- R&D 리뷰
- 규제 상황
- 이해관계자 분석
- 주요 세계 이벤트의 영향 분석
- 시장 역학의 개요
제2장 데이터 마이닝 툴 시장 : 용도별
- 용도 세분화
- 용도의 개요 : 최종 용도별
- 소매
- 은행·금융 서비스·보험(BFSI)
- 헬스케어와 생명과학
- 통신·IT
- 정부·방위
- 에너지·유틸리티
- 제조
- 기타
- 데이터 마이닝 툴 시장 : 조직별
- 데이터 마이닝 툴 시장 : 도입 유형별
제3장 데이터 마이닝 툴 시장 : 제품별
- 제품의 분류
- 제품 개요
- 데이터 마이닝 툴 시장 : 비지니스 기능별
- 데이터 마이닝 툴 시장 : 컴포넌트별
제4장 데이터 마이닝 툴 시장 : 지역별
- 데이터 마이닝 툴 시장 : 지역별
- 북미
- 유럽
- 아시아태평양
- 기타 지역
제5장 기업 개요
- 다음 프론티어
- 지역적 평가
- Microsoft
- MathWorks
- Teradata
- IBM
- SAS Institute
- Oracle
- H2O.ai
- Alteryx
- Intel
- Rapidminer
- SAP
- Knime
- Salford Systems
- FICO
- Blue Granite
- 기타 주요 기업
제6장 조사 방법
KSA
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.
| KEY MARKET STATISTICS |
|---|
| Forecast Period | 2024 - 2034 |
| 2024 Evaluation | $1.24 Billion |
| 2034 Forecast | $3.73 Billion |
| CAGR | 11.63% |
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
Segmentation 4: by Business Function
- Marketing
- Finance
- Supply Chain and Logistics
- Operations
Segmentation 5: by Component
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
