データマイニングツールの世界市場調査レポート：産業分析、規模、シェア、成長、動向、2023～2030年の予測

データマイニングツール市場の世界需要は、2022年の38億1,000万米ドルから2030年には124億1,000万米ドル近くの市場規模に達すると推定され、調査期間2023年～2030年のCAGRは14.02%です。

データマイニングは、大規模なデータセットを整理して、データ分析やビジネス上の問題解決に利用できるパターンと関係を見つけ出す技術です。データマイニングのプロセスとツールは、企業が将来の動向を予測し、十分な情報に基づいたビジネス上の意思決定を行うのに役立ちます。データマイニングは、組織の優れた分析プログラムにとって不可欠な要素です。データマイニングは、データ分析に不可欠な要素であり、最先端の分析手法を使用してデータセットから貴重で適用可能な情報を抽出する、データサイエンスの基本的なアプローチの1つです。データマイニングを成功させることは、オペレーションやビジネス戦略を管理する上で様々な面で役立ちます。

市場力学：

データマイニングツール市場の堅調な成長につながる主な促進要因には、人工知能やモノのインターネット（IoT）などの先端技術の台頭、特に新興経済諸国におけるシームレスなデータ処理を可能にするソフトウェア＆サービスへの官民投資の拡大、競争優位性を得るための組み込みインテリジェンス需要の高まりなどがあります。中小企業の増加、組織のデータ量の増加、自由に使えるデータ資産を活用しようという企業の意識、経済のデジタル化、クラウドコンピューティングの出現は、データマイニングツールの市場成長にさらに貢献します。

この調査レポートは、ポーターのファイブフォースモデル、市場魅力度分析、バリューチェーン分析を対象としています。これらのツールは、業界の構造を明確に把握し、世界レベルでの競合の魅力を評価するのに役立ちます。さらに、これらのツールは、データマイニングツールの世界市場における各セグメントを包括的に評価することもできます。データマイニングツール産業の成長と動向は、この調査に全体的なアプローチを提供します。

地域分析：

このセクションでは、北米、欧州、アジア太平洋、ラテンアメリカ、中東＆アフリカにおけるデータマイニングツール市場の現在および将来の需要を強調する地域展望をカバーしています。さらに、このレポートでは、すべての主要地域における個々のアプリケーションセグメントの需要、推定・予測に焦点を当てています。

ご要望がございましたら、弊社までご連絡ください。当社の調査チームは、お客様のニーズに応じてカスタマイズしたレポートを提供することができます。

目次

第1章 序文

第2章 エグゼクティブサマリー

• 市場のハイライト
• 世界市場スナップショット

第3章 データマイニングツール- 産業分析

• イントロダクション：市場力学
• 市場促進要因
• 市場抑制要因
• 機会
• 業界動向
• ポーターのファイブフォース分析
• 市場魅力度分析

第4章 バリューチェーン分析

• バリューチェーン分析
• 原材料分析
  • 原材料リスト
  • 原材料メーカーリスト
  • 主要原材料の価格動向
• 潜在的バイヤーのリスト
• マーケティングチャネル
  • ダイレクトマーケティング
  • インダイレクトマーケティング
  • マーケティングチャネル発展動向

第5章 COVID-19発生の影響分析

第6章 データマイニングツールの世界市場分析：コンポーネント別

• コンポーネント別概要
• 実績データと予測データ
• コンポーネント別分析
• ツール
• サービス

第7章 データマイニングツールの世界市場分析：サービス別

• サービス別概要
• 実績データと予測データ
• サービス別分析
• マネージドサービス
• コンサルティングと実装
• その他（サポート・保守、トレーニング・教育）

第8章 データマイニングツールの世界市場分析：部署別

• 部署別概要
• 実績データと予測データ
• 部署別分析
• マーケティング
• ファイナンス
• サプライチェーンとロジスティクス
• オペレーション

第9章 データマイニングツールの世界市場分析：業界別

• 業界別概要
• 実績データと予測データ
• 業界別分析
• 小売
• 銀行、金融サービス、保険（BFSI）
• ヘルスケアとライフサイエンス
• 通信・IT
• 政府・防衛
• エネルギーおよび公益事業
• 製造業
• その他（教育、メディア、エンターテイメント）

第10章 データマイニングツールの世界市場分析：展開タイプ別

• 展開タイプ別概要
• 実績データと予測データ
• 展開タイプ別分析
• オンプレミス
• クラウド

第11章 データマイニングツールの世界市場分析：組織規模別

• 組織規模別概要
• 実績データと予測データ
• 組織規模別分析
• 大企業
• 中小企業（SMEs）

第12章 データマイニングツールの世界市場売上高分析：地域別

• 地域別展望
• イントロダクション
• 北米売上分析
  • 概要、実績と予測
  • 北米：セグメント別
  • 北米：国別
  • 米国
  • カナダ
  • メキシコ
• 欧州売上分析
  • 概要、実績と予測
  • 欧州：セグメント別
  • 欧州：国別
  • 英国
  • フランス
  • ドイツ
  • イタリア
  • ロシア
  • その他欧州
• アジア太平洋売上分析
  • 概要、実績と予測
  • アジア太平洋：セグメント別
  • アジア太平洋：国別
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア
  • その他アジア太平洋
• ラテンアメリカ売上分析
  • 概要、実績と予測
  • ラテンアメリカ：セグメント別
  • ラテンアメリカ：国別
  • ブラジル
  • アルゼンチン
  • ペルー
  • チリ
  • その他ラテンアメリカ
• 中東・アフリカ売上分析
  • 概要、実績と予測
  • 中東・アフリカ：セグメント別
  • 中東・アフリカ：国別
  • サウジアラビア
  • アラブ首長国連邦
  • イスラエル
  • 南アフリカ
  • その他中東とアフリカ

第13章 データマイニングツール企業の競合情勢

• データマイニングツール市場の競合
• 提携・協力・合意
• 合併・買収
• 新製品発表
• その他の開発

第14章 企業プロファイル

• 企業シェア分析
• 市場集中度
• IBM（米国）
• Microsoft（米国）
• SAS Institute（米国）
• Oracle（米国）
• Intel（米国）
• SAP SE（ドイツ）
• RapidMiner（米国）
• KNIME（スイス）
• Teradata（米国）
• MathWorks（米国）
• H2O.ai（米国）
• Alteryx（米国）
• FICO（米国）
• Angoss（カナダ）
• Salford Systems（米国）
• BlueGranite（米国）
• Megaputer（米国）
• Biomax Informatics（ドイツ）
• Frontline Systems（米国）
• Dataiku（フランス）
• Wolfram（米国）
• Reltio（米国）
• SenticNet（シンガポール）
• Business Insight（ベルギー）
• SunTec India（デリー）

LIST OF TABLES

• Market Snapshot
• Drivers : Impact Analysis
• Restraints : Impact Analysis
• List of Raw Material
• List of Raw Material Manufactures
• List of Potential Buyers
• Analysis by Component (USD MN)
• Tools Market Sales by Geography (USD MN)
• Services Market Sales by Geography (USD MN)
• Analysis Market by Service (USD MN)
• Managed Services Market Sales by Geography (USD MN)
• Consulting And Implementation Market Sales by Geography (USD MN)
• Others (Support And Maintenance, Training And Education) Market Sales by Geography (USD MN)
• Analysis by Business Function (USD MN)
• Marketing Market Sales by Geography (USD MN)
• Finance Market Sales by Geography (USD MN)
• Supply Chain And Logistics Market Sales by Geography (USD MN)
• Operations Market Sales by Geography (USD MN)
• Analysis by Industry Vertical (USD MN)
• Retail Market Sales by Geography (USD MN)
• Banking, Financial Services, And Insurance (BFSI) Market Sales by Geography (USD MN)
• Healthcare And life sciences Market Sales by Geography (USD MN)
• Telecom And IT Market Sales by Geography (USD MN)
• Government And defense Market Sales by Geography (USD MN)
• Energy And Utilities Market Sales by Geography (USD MN)
• Manufacturing Market Sales by Geography (USD MN)
• Others (Education, And Media And Entertainment) Market Sales by Geography (USD MN)
• Analysis by Deployment Type (USD MN)
• On-premises Market Sales by Geography (USD MN)
• Cloud Market Sales by Geography (USD MN)
• Analysis by Organization Size (USD MN)
• Large Enterprises Market Sales by Geography (USD MN)
• Small And Medium-sized Enterprises (SMEs) Market Sales by Geography (USD MN)
• Global Data Mining Tools Market Sales by Geography (USD MN)
• North America Market Analysis (USD MN)
• United State Market Analysis (USD MN)
• Canada Market Analysis (USD MN)
• Mexico Market Analysis (USD MN)
• Europe Market Analysis (USD MN)
• Europe Market Estimate by Country (USD MN)
• United Kingdom Market Analysis (USD MN)
• France Market Analysis (USD MN)
• Germany Market Analysis (USD MN)
• Italy Market Analysis (USD MN)
• Russia Market Analysis (USD MN)
• Spain Market Analysis (USD MN)
• Rest of Europe Market Analysis (USD MN)
• Asia Pacific Market Analysis (USD MN)
• China Market Analysis (USD MN)
• Japan Market Analysis (USD MN)
• India Market Analysis (USD MN)
• South Korea Market Analysis (USD MN)
• Australia Market Analysis (USD MN)
• Rest of Asia Pacific Market Analysis (USD MN)
• Latin America Market Analysis (USD MN)
• Brazil Market Analysis (USD MN)
• Argentina Market Analysis (USD MN)
• Peru Market Analysis (USD MN)
• Chile Market Analysis (USD MN)
• Rest of Latin America Market Analysis (USD MN)
• Middle East & Africa Market Analysis (USD MN)
• Saudi Arabia Market Analysis (USD MN)
• UAE Market Analysis (USD MN)
• Israel Market Analysis (USD MN)
• South Africa Market Analysis (USD MN)
• Rest of Middle East and Africa Market Analysis (USD MN)
• Partnership/Collaboration/Agreement
• Mergers And Acquisiton

LIST OF FIGURES

• Research Scope of Data Mining Tools Report
• Market Research Process
• Market Research Methodology
• Global Data Mining Tools Market Size, by Region (USD MN)
• Porters Five Forces Analysis
• Market Attractiveness Analysis by Component
• Market Attractiveness Analysis by Service
• Market Attractiveness Analysis by Business Function
• Market Attractiveness Analysis by Industry Vertical
• Market Attractiveness Analysis by Deployment Type
• Market Attractiveness Analysis by Organization Size
• Market Attractiveness Analysis by Region
• Value Chain Analysis
• Global Market Analysis by Component (USD MN)
• Tools Market Sales by Geography (USD MN)
• Services Market Sales by Geography (USD MN)
• Global Market Analysis by Service (USD MN)
• Managed Services Market Sales by Geography (USD MN)
• Consulting And Implementation Market Sales by Geography (USD MN)
• Others (Support And Maintenance, Training And Education) Market Sales by Geography (USD MN)
• Global Market Analysis by Business Function (USD MN)
• Marketing Market Sales by Geography (USD MN)
• Finance Market Sales by Geography (USD MN)
• Supply Chain And Logistics Market Sales by Geography (USD MN)
• Operations Market Sales by Geography (USD MN)
• Global Market Analysis by Industry Vertical (USD MN)
• Retail Market Sales by Geography (USD MN)
• Banking, Financial Services, And Insurance (BFSI) Market Sales by Geography (USD MN)
• Healthcare And life sciences Market Sales by Geography (USD MN)
• Telecom And IT Market Sales by Geography (USD MN)
• Government And defense Market Sales by Geography (USD MN)
• Energy And Utilities Market Sales by Geography (USD MN)
• Manufacturing Market Sales by Geography (USD MN)
• Others (Education, And Media And Entertainment) Market Sales by Geography (USD MN)
• Global Market Analysis by Deployment Type (USD MN)
• On-premises Market Sales by Geography (USD MN)
• Cloud Market Sales by Geography (USD MN)
• Global Market Analysis by Organization Size (USD MN)
• Large Enterprises Market Sales by Geography (USD MN)
• Small And Medium-sized Enterprises (SMEs) Market Sales by Geography (USD MN)
• Global Market by Revenue
• North America Market by Revenue
• Europe Market by Revenue
• Asia Pacific Market by Revenue
• Latin America Market by Revenue
• Middle East & Africa Market by Revenue
• Recent Development in Industry
• Top Company Share Analysis

Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.

The global demand for Data Mining Tools Market is presumed to reach the market size of nearly USD 12.41 BN by 2030 from USD 3.81 BN in 2022 with a CAGR of 14.02% under the study period 2023 - 2030.

Data mining is the technique of sorting out large data sets to find patterns & relationships that can be used for data analysis and to solve business problems. Data mining processes and tools help enterprises to estimate future trends & make well-informed business decisions. Data mining is a vital component of outstanding analytics programs in organizations. It is an essential part of data analytics & is one of the fundamental approaches in data science, which use cutting-edge analytics methods to extract valuable & applicable information from data sets. Successful data mining helps in several aspects of managing operations and business strategies.

MARKET DYNAMICS:

The major drivers leading to the robust growth of the data mining tools market include the rise in advanced technologies like artificial intelligence & the internet of things (IoT), as well as growing public and private investments in software & services that enable seamless data processing, particularly in developing economies, and the rise in demand for embedded intelligence to gain a competitive advantage. The rise in small and medium-scale enterprises, the growing volume of organizational data, the awareness among businesses to use the data assets at their disposal, the digitalization of economies, and the emergence of cloud computing will further contribute to the market growth of data mining tools.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of data mining tools. The growth and trends of data mining tools industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the data mining tools market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

• Tools
• Services

By Service

• Managed Services
• Consulting And Implementation
• Others (Support And Maintenance, Training And Education)

By Business Function

• Marketing
• Finance
• Supply Chain And Logistics
• Operations

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)

By Deployment Type

• On-Premises
• Cloud

By Organization Size

• Large Enterprises
• Small And Medium-Sized Enterprises (SMEs)

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Data Mining Tools market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the data mining tools market include IBM (US), Microsoft (US), SAS Institute (US), Oracle (US), Intel (US), SAP SE (Germany), RapidMiner (US), KNIME (Switzerland), Teradata (US), MathWorks (US), H2O.ai (US), Alteryx (US), FICO (US), Angoss (Canada), Salford Systems (US), BlueGranite (US), Megaputer (US), Biomax Informatics (Germany), Frontline Systems (US), Dataiku (France), Wolfram (US), Reltio (US), SenticNet (Singapore), Business Insight (Belgium), and SunTec India (Delhi). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1 . PREFACE

• 1.1. Report Description
  • 1.1.1. Objective
  • 1.1.2. Target Audience
  • 1.1.3. Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1. Market Research Process
  • 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3 . DATA MINING TOOLS - INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Porter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Component
  • 3.7.2 Market Attractiveness Analysis By Service
  • 3.7.3 Market Attractiveness Analysis By Business Function
  • 3.7.4 Market Attractiveness Analysis By Industry Vertical
  • 3.7.5 Market Attractiveness Analysis By Deployment Type
  • 3.7.6 Market Attractiveness Analysis By Organization Size
  • 3.7.7 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1. List of Raw Materials
  • 4.2.2. Raw Material Manufactures List
  • 4.2.3. Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1. Direct Marketing
  • 4.4.2. Indirect Marketing
  • 4.4.3. Marketing Channel Development Trend

5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL DATA MINING TOOLS MARKET ANALYSIS BY COMPONENT

• 6.1 Overview by Component
• 6.2 Historical and Forecast Data
• 6.3 Analysis by Component
• 6.4 Tools Historic and Forecast Sales by Regions
• 6.5 Services Historic and Forecast Sales by Regions

7 . GLOBAL DATA MINING TOOLS MARKET ANALYSIS BY SERVICE

• 7.1 Overview by Service
• 7.2 Historical and Forecast Data
• 7.3 Analysis by Service
• 7.4 Managed Services Historic and Forecast Sales by Regions
• 7.5 Consulting And Implementation Historic and Forecast Sales by Regions
• 7.6 Others (Support And Maintenance, Training And Education) Historic and Forecast Sales by Regions

8 . GLOBAL DATA MINING TOOLS MARKET ANALYSIS BY BUSINESS FUNCTION

• 8.1 Overview by Business Function
• 8.2 Historical and Forecast Data
• 8.3 Analysis by Business Function
• 8.4 Marketing Historic and Forecast Sales by Regions
• 8.5 Finance Historic and Forecast Sales by Regions
• 8.6 Supply Chain And Logistics Historic and Forecast Sales by Regions
• 8.7 Operations Historic and Forecast Sales by Regions

9 . GLOBAL DATA MINING TOOLS MARKET ANALYSIS BY INDUSTRY VERTICAL

• 9.1 Overview by Industry Vertical
• 9.2 Historical and Forecast Data
• 9.3 Analysis by Industry Vertical
• 9.4 Retail Historic and Forecast Sales by Regions
• 9.5 Banking, Financial Services, And Insurance (BFSI) Historic and Forecast Sales by Regions
• 9.6 Healthcare And life sciences Historic and Forecast Sales by Regions
• 9.7 Telecom And IT Historic and Forecast Sales by Regions
• 9.8 Government And defense Historic and Forecast Sales by Regions
• 9.9 Energy And Utilities Historic and Forecast Sales by Regions
• 9.10. Manufacturing Historic and Forecast Sales by Regions
• 9.11 Others (Education, And Media And Entertainment) Historic and Forecast Sales by Regions

10 . GLOBAL DATA MINING TOOLS MARKET ANALYSIS BY DEPLOYMENT TYPE

• 10.1 Overview by Deployment Type
• 10.2 Historical and Forecast Data
• 10.3 Analysis by Deployment Type
• 10.4 On-premises Historic and Forecast Sales by Regions
• 10.5 Cloud Historic and Forecast Sales by Regions

11 . GLOBAL DATA MINING TOOLS MARKET ANALYSIS BY ORGANIZATION SIZE

• 11.1 Overview by Organization Size
• 11.2 Historical and Forecast Data
• 11.3 Analysis by Organization Size
• 11.4 Large Enterprises Historic and Forecast Sales by Regions
• 11.5 Small And Medium-sized Enterprises (SMEs) Historic and Forecast Sales by Regions

12 . GLOBAL DATA MINING TOOLS MARKET SALES ANALYSIS BY GEOGRAPHY

• 12.1. Regional Outlook
• 12.2. Introduction
• 12.3. North America Sales Analysis
  • 12.3.1. Overview, Historic and Forecast Sales Analysis
  • 12.3.2. North America By Segment Sales Analysis
  • 12.3.3. North America By Country Sales Analysis
  • 12.3.4. United State Sales Analysis
  • 12.3.5. Canada Sales Analysis
  • 12.3.6. Mexico Sales Analysis
• 12.4. Europe Sales Analysis
  • 12.4.1. Overview, Historic and Forecast Sales Analysis
  • 12.4.2. Europe by Segment Sales Analysis
  • 12.4.3. Europe by Country Sales Analysis
  • 12.4.4. United Kingdom Sales Analysis
  • 12.4.5. France Sales Analysis
  • 12.4.6. Germany Sales Analysis
  • 12.4.7. Italy Sales Analysis
  • 12.4.8. Russia Sales Analysis
  • 12.4.9. Rest Of Europe Sales Analysis
• 12.5. Asia Pacific Sales Analysis
  • 12.5.1. Overview, Historic and Forecast Sales Analysis
  • 12.5.2. Asia Pacific by Segment Sales Analysis
  • 12.5.3. Asia Pacific by Country Sales Analysis
  • 12.5.4. China Sales Analysis
  • 12.5.5. India Sales Analysis
  • 12.5.6. Japan Sales Analysis
  • 12.5.7. South Korea Sales Analysis
  • 12.5.8. Australia Sales Analysis
  • 12.5.9. Rest Of Asia Pacific Sales Analysis
• 12.6. Latin America Sales Analysis
  • 12.6.1. Overview, Historic and Forecast Sales Analysis
  • 12.6.2. Latin America by Segment Sales Analysis
  • 12.6.3. Latin America by Country Sales Analysis
  • 12.6.4. Brazil Sales Analysis
  • 12.6.5. Argentina Sales Analysis
  • 12.6.6. Peru Sales Analysis
  • 12.6.7. Chile Sales Analysis
  • 12.6.8. Rest of Latin America Sales Analysis
• 12.7. Middle East & Africa Sales Analysis
  • 12.7.1. Overview, Historic and Forecast Sales Analysis
  • 12.7.2. Middle East & Africa by Segment Sales Analysis
  • 12.7.3. Middle East & Africa by Country Sales Analysis
  • 12.7.4. Saudi Arabia Sales Analysis
  • 12.7.5. UAE Sales Analysis
  • 12.7.6. Israel Sales Analysis
  • 12.7.7. South Africa Sales Analysis
  • 12.7.8. Rest Of Middle East And Africa Sales Analysis

13 . COMPETITIVE LANDSCAPE OF THE DATA MINING TOOLS COMPANIES

• 13.1. Data Mining Tools Market Competition
• 13.2. Partnership/Collaboration/Agreement
• 13.3. Merger And Acquisitions
• 13.4. New Product Launch
• 13.5. Other Developments

14 . COMPANY PROFILES OF DATA MINING TOOLS INDUSTRY

• 14.1. Top Company Share Analysis
• 14.2. Market Concentration Rate
• 14.3. IBM (US)
  • 14.3.1. Company Overview
  • 14.3.2. Company Revenue
  • 14.3.3. Products
  • 14.3.4. Recent Developments
• 14.4. Microsoft (US)
  • 14.4.1. Company Overview
  • 14.4.2. Company Revenue
  • 14.4.3. Products
  • 14.4.4. Recent Developments
• 14.5. SAS Institute (US)
  • 14.5.1. Company Overview
  • 14.5.2. Company Revenue
  • 14.5.3. Products
  • 14.5.4. Recent Developments
• 14.6. Oracle (US)
  • 14.6.1. Company Overview
  • 14.6.2. Company Revenue
  • 14.6.3. Products
  • 14.6.4. Recent Developments
• 14.7. Intel (US)
  • 14.7.1. Company Overview
  • 14.7.2. Company Revenue
  • 14.7.3. Products
  • 14.7.4. Recent Developments
• 14.8. SAP SE (Germany)
  • 14.8.1. Company Overview
  • 14.8.2. Company Revenue
  • 14.8.3. Products
  • 14.8.4. Recent Developments
• 14.9. RapidMiner (US)
  • 14.9.1. Company Overview
  • 14.9.2. Company Revenue
  • 14.9.3. Products
  • 14.9.4. Recent Developments
• 14.10. KNIME (SwitzerlAnd)
  • 14.10.1. Company Overview
  • 14.10.2. Company Revenue
  • 14.10.3. Products
  • 14.10.4. Recent Developments
• 14.11. Teradata (US)
  • 14.11.1. Company Overview
  • 14.11.2. Company Revenue
  • 14.11.3. Products
  • 14.11.4. Recent Developments
• 14.12. MathWorks (US)
  • 14.12.1. Company Overview
  • 14.12.2. Company Revenue
  • 14.12.3. Products
  • 14.12.4. Recent Developments
• 14.13. H2O.ai (US)
  • 14.13.1. Company Overview
  • 14.13.2. Company Revenue
  • 14.13.3. Products
  • 14.13.4. Recent Developments
• 14.14. Alteryx (US)
  • 14.14.1. Company Overview
  • 14.14.2. Company Revenue
  • 14.14.3. Products
  • 14.14.4. Recent Developments
• 14.15. FICO (US)
  • 14.15.1. Company Overview
  • 14.15.2. Company Revenue
  • 14.15.3. Products
  • 14.15.4. Recent Developments
• 14.16. Angoss (Canada)
  • 14.16.1. Company Overview
  • 14.16.2. Company Revenue
  • 14.16.3. Products
  • 14.16.4. Recent Developments
• 14.17. Salford Systems (US)
  • 14.17.1. Company Overview
  • 14.17.2. Company Revenue
  • 14.17.3. Products
  • 14.17.4. Recent Developments
• 14.18. BlueGranite (US)
  • 14.18.1. Company Overview
  • 14.18.2. Company Revenue
  • 14.18.3. Products
  • 14.18.4. Recent Developments
• 14.19. Megaputer (US)
  • 14.19.1. Company Overview
  • 14.19.2. Company Revenue
  • 14.19.3. Products
  • 14.19.4. Recent Developments
• 14.20. Biomax Informatics (Germany)
  • 14.20.1. Company Overview
  • 14.20.2. Company Revenue
  • 14.20.3. Products
  • 14.20.4. Recent Developments
• 14.21. Frontline Systems (US)
  • 14.21.1. Company Overview
  • 14.21.2. Company Revenue
  • 14.21.3. Products
  • 14.21.4. Recent Developments
• 14.22. Dataiku (France)
  • 14.22.1. Company Overview
  • 14.22.2. Company Revenue
  • 14.22.3. Products
  • 14.22.4. Recent Developments
• 14.23. Wolfram (US)
  • 14.23.1. Company Overview
  • 14.23.2. Company Revenue
  • 14.23.3. Products
  • 14.23.4. Recent Developments
• 14.24. Reltio (US)
  • 14.24.1. Company Overview
  • 14.24.2. Company Revenue
  • 14.24.3. Products
  • 14.24.4. Recent Developments
• 14.25. SenticNet (Singapore)
  • 14.25.1. Company Overview
  • 14.25.2. Company Revenue
  • 14.25.3. Products
  • 14.25.4. Recent Developments
• 14.26. Business Insight (Belgium)
  • 14.26.1. Company Overview
  • 14.26.2. Company Revenue
  • 14.26.3. Products
  • 14.26.4. Recent Developments
• 14.27. SunTec India (Delhi)
  • 14.27.1. Company Overview
  • 14.27.2. Company Revenue
  • 14.27.3. Products
  • 14.27.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies