資料探勘工具市場 - 全球和區域分析:按最終用途、組織、部署類型、業務功能、組件和區域進行分析和預測(2024-2034):
市場調查報告書
商品編碼
1507361

資料探勘工具市場 - 全球和區域分析:按最終用途、組織、部署類型、業務功能、組件和區域進行分析和預測(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個工作天內

價格
簡介目錄

在各種因素和市場促進因素的推動下,資料探勘工具市場正在經歷顯著成長。

樂觀的是,資料探勘工具市場規模預計將從 2024 年的 12.4 億美元成長到 2034 年的 37.3 億美元,預測期內複合年成長率為 11.63%。

主要市場統計數據
預測期 2024-2034
2024年評估 12.4億美元
2034年預測 37.3億美元
複合年成長率 11.63%

各產業越來越意識到先進資料探勘工具在增強資料分析能力和推動明智決策方面的優勢,這是市場成長的關鍵驅動力。先進的資料探勘工具在從大型複雜資料集提取有價值的見解、幫助公司發現隱藏的模式、趨勢和相關性以推動業務成功方面發揮著至關重要的作用。

此外,對資料驅動決策的日益關注以及對可行見解的需求正在推動先進資料挖掘工具在各個領域的採用。隨著我們越來越依賴資料來獲得競爭優勢並提高業務效率,對能夠處理不同資料類型並提供準確、及時見解的高級資料挖掘解決方案的需求不斷增加。

此外,資料探勘演算法和技術的不斷技術進步和創新也推動了市場的擴張。資料探勘工具領域的主要參與者,包括 Microsoft、IBM 和 Oracle,在開發創新解決方案以滿足企業不斷變化的需求方面處於領先地位。我們在資料科學、機器學習和分析方面的專業知識以及以客戶為中心的方法正在幫助塑造資料探勘工具市場的格局。

本報告調查了全球資料探勘工具市場,並提供了有關行業趨勢、技術和專利趨勢、法律制度、案例研究、市場成長促進和限制、市場規模趨勢和預測、各種分類的資訊,它總結了詳細分析地區/主要國家、競爭格局、主要企業概況等

目錄

執行摘要

第1章市場:產業展望

  • 趨勢:當前和未來的影響評估
  • 供應鏈概覽
    • 價值鏈分析
    • 價格預測
  • 研發回顧
    • 專利申請趨勢:按國家和公司分類
  • 監管狀況
  • 相關利益者分析
    • 使用案例
    • 最終用戶和購買標準
  • 全球重大事件影響分析
  • 市場動態概覽
    • 市場促進因素
    • 市場限制因素
    • 市場機會

第2章資料探勘工具市場:依應用分類

  • 使用分類
  • 應用概述:按最終用途
    • 零售
    • 銀行、金融服務和保險 (BFSI)
    • 醫療保健和生命科學
    • 通訊/IT
    • 政府/國防
    • 能源/公共事業
    • 製造業
    • 其他
  • 資料探勘工具市場:依組織分類
    • 主要企業
    • 中小企業
  • 資料探勘工具市場:按實施類型
    • 本地

第3章資料探勘工具市場:依產品

  • 產品分類
  • 產品概要
  • 資料探勘工具市場:依業務功能分類
    • 行銷
    • 金融
    • 供應鍊和物流
    • 手術
  • 資料探勘工具市場:按組成部分
    • 工具
    • 服務

第4章資料探勘工具市場:按地區

  • 資料探勘工具市場:按地區
  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

第5章 公司簡介

  • 下一個前沿
  • 地理評估
    • Microsoft
    • MathWorks
    • Teradata
    • IBM
    • SAS Institute
    • Oracle
    • H2O.ai
    • Alteryx
    • Intel
    • Rapidminer
    • SAP
    • Knime
    • Salford Systems
    • FICO
    • Blue Granite
    • 其他主要企業

第6章調查方法

簡介目錄
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