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资料探勘工具市场 - 全球和区域分析：按最终用途、组织、部署类型、业务功能、组件和区域进行分析和预测（2024-2034）：
市场调查报告书
商品编码
1507361

资料探勘工具市场 - 全球和区域分析：按最终用途、组织、部署类型、业务功能、组件和区域进行分析和预测（2024-2034）：

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
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5个工作天内

价格
简介目录

在各种因素和市场驱动因素的推动下，资料探勘工具市场正在经历显着成长。

乐观的是，资料探勘工具市场规模预计将从 2024 年的 12.4 亿美元成长到 2034 年的 37.3 亿美元，预测期内复合年增长率为 11.63%。

主要市场统计数据
预测期 2024-2034
2024年评估 12.4亿美元
2034年预测 37.3亿美元
复合年增长率 11.63%

各产业越来越意识到先进资料探勘工具在增强资料分析能力和推动明智决策方面的优势，这是市场成长的关键驱动力。先进的资料探勘工具在从大型复杂资料集提取有价值的见解、帮助公司发现隐藏的模式、趋势和相关性以推动业务成功方面发挥着至关重要的作用。

此外，对资料驱动决策的日益关注以及对可行见解的需求正在推动先进资料挖掘工具在各个领域的采用。随着我们越来越依赖资料来获得竞争优势并提高业务效率，对能够处理不同资料类型并提供准确、及时见解的高级资料挖掘解决方案的需求不断增加。

此外，资料探勘演算法和技术的不断技术进步和创新也推动了市场的扩张。资料探勘工具领域的主要参与者，包括 Microsoft、IBM 和 Oracle，在开发创新解决方案以满足企业不断变化的需求方面处于领先地位。我们在资料科学、机器学习和分析方面的专业知识以及以客户为中心的方法正在帮助塑造资料探勘工具市场的格局。

本报告调查了全球资料探勘工具市场，并提供了有关行业趋势、技术和专利趋势、法律制度、案例研究、市场成长促进和限制、市场规模趋势和预测、各种分类的信息，它总结了详细分析地区/主要国家、竞争格局、主要企业概况等

目录

执行摘要

第一章市场：产业展望

  • 趋势：当前和未来的影响评估
  • 供应链概览
    • 价值链分析
    • 价格预测
  • 研发回顾
    • 专利申请趋势：按国家和公司划分
  • 监管状况
  • 相关利益者分析
    • 使用案例
    • 最终用户和购买标准
  • 全球重大事件影响分析
  • 市场动态概览
    • 市场驱动因素
    • 市场限制因素
    • 市场机会

第二章资料探勘工具市场：依应用分类

  • 使用分类
  • 应用概述：按最终用途
    • 零售
    • 银行、金融服务和保险 (BFSI)
    • 医疗保健和生命科学
    • 通讯/IT
    • 政府/国防
    • 能源/公共事业
    • 製造业
    • 其他的
  • 资料探勘工具市场：依组织划分
    • 大公司
    • 中小企业
  • 资料探勘工具市场：按实施类型
    • 本地
    • 云

第三章资料探勘工具市场：依产品

  • 产品分类
  • 产品概要
  • 资料探勘工具市场：依业务功能划分
    • 行销
    • 金融
    • 供应炼和物流
    • 手术
  • 资料探勘工具市场：按组成部分
    • 工具
    • 服务

第四章资料探勘工具市场：按地区

  • 资料探勘工具市场：按地区
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第五章 公司简介

  • 下一个前沿
  • 地理评估
    • Microsoft
    • MathWorks
    • Teradata
    • IBM
    • SAS Institute
    • Oracle
    • H2O.ai
    • Alteryx
    • Intel
    • Rapidminer
    • SAP
    • Knime
    • Salford Systems
    • FICO
    • Blue Granite
    • 其他主要企业

第六章调查方法

简介目录
Product Code: MS02167SA

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 Period2024 - 2034
2024 Evaluation$1.24 Billion
2034 Forecast$3.73 Billion
CAGR11.63%

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

  • 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