The Global Data Mining Tools Market size is expected to reach $2.3 billion by 2030, rising at a market growth of 12.8% CAGR during the forecast period.
Data mining tools analyze network performance data, identifying bottlenecks, congestion points, and areas that require optimization. Therefore, the Telecom & IT segment will capture 1/5thshare in the market by 2030. The sector can use these tools to comprehend the evolving patterns of the collected data in order to make well-informed decisions regarding its various business operations. This is a result of the rapid growth of data mining tools to analyze the growing quantity of digital data. This helps telecom companies ensure optimal network performance, reduce downtime, and enhance customer satisfaction. Some of the factors impacting the market are increasing integration of data mining and machine learning, rising digitization and data production, and privacy issues with data mining.
Industry is drastically changing all over the world as a result of the quick development of futuristic technologies. Logistics and transportation are one of these sectors. After emerging technologies like data mining, telematics, machine learning (ML), and artificial intelligence (AI), several senior executives predicted a technological transition in the transportation and logistics industry. The fleet management industry can detect fleet collisions and prevent delays with greater accuracy due to implementing ML technology. ML algorithms expand the potential of data mining by managing enormous datasets, automating complex tasks, and spotting detailed patterns. Furthermore, the development of digital data has grown significantly during the last few decades. The increased usage of digital devices, such as smartphones and computers, in everyday life is one of the major factors contributing to this increase in digital data generation. Additionally, the Internet of Things (IoT) is becoming increasingly popular, and the data produced by many IoT devices has also contributed to the data explosion. Data mining must be used to sift through these vast quantities of data to identify trends that can assist companies in making better decisions in various areas. Thus, the use of machine learning and as more organizations add big data tools and analysis solutions to their infrastructure, the market is also likely to expand.
However, data mining techniques could lead to security issues, a major concern as development has grown. According to several security specialists, data mining will be one of the most significant obstacles consumers will face in the next decade. Building precise models for data analysis without granting permission to utilize the information in specific customer records is the data mining process's greatest challenge since it prevents the database from being used improperly. Security issues are one of the most frequently raised concerns because people typically work with enormous amounts of information while utilizing data mining and have easy access to it. These security concerns with data mining may hamper the market expansion.
Component Outlook
Based on component, the market is bifurcated into tools (without services) and services. In 2022, the tools (without services) segment procured the largest revenue share in the market. Data mining tools streamline the process of collecting, cleaning, and preparing data for analysis. This efficiency saves time and reduces manual data handling errors. Using data mining tools directly can be more cost-effective than engaging in external data mining services.
Application Outlook
On the basis of application, the market is divided into marketing, supply chain & procurement, intrusion detection, business transaction, and others. The intrusion detection segment procured a promising growth rate in the market in 2022. The growth of the segment is owed to the rising risk of data theft. As enterprises retain vital business and consumer data, it is essential to protect them using a variety of methods. Data mining tools can identify any anomalous patterns and send an alert immediately.
Enterprise Size Outlook
On the basis of enterprise size, the market is fragmented into large enterprises and small & medium enterprises. In 2022, the large enterprises segment witnessed the largest revenue share in the market. These enterprises need to rapidly analyze vast amounts of data from multiple locations to formulate business strategies. Large enterprises' IT spending capacity is strong, so their adoption of data analysis tools is increasing.
Deployment Type Outlook
By deployment type, the market is segmented into on-premise and cloud. The cloud segment covered a considerable revenue share in the market in 2022. Considering the limited IT funds and expanding network of small and medium-sized enterprises, key market participants are offering open-source cloud-based tools. The escalating usage of modern data analysis tools also pushes enterprises towards secure, cost-effective, cloud-based tools. Cloud offers its users or clients access to shared resources, software, and applications.
End-use Outlook
Based on End-use, the market is categorized into BFSI, healthcare & life sciences, retail, IT & telecom, manufacturing, education, and others. The healthcare and life sciences segment recorded a remarkable revenue share in the market in 2022. The tools can assist healthcare systems with managing the supply chain and procuring medications and medical instruments. The insights can also greatly assist in evaluating pattern-based diseases and their underlying causes in emergencies, such as the COVID-19 pandemic.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region led the market by generating the highest revenue share. It is due to the emergence of cutting-edge technologies like artificial intelligence, machine learning, the Internet of Things, and more. Industries throughout the world generate vast quantities of data. The demand for data analysis and pattern recognition has increased substantially. Due to its early embrace of new technologies and access to various data sources, the US and Canada are expected to dominate the regional market during the projection period.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Oracle Corporation, IBM corporation, KNIME AG, Altair Engineering, Inc. (IMG Companies, LLC), Microsoft Corporation, Sisense, Inc., Google, LLC (Kaggle Inc.), SAS Institute, Inc., SAP SE and Teradata Corporation
Scope of the Study
Market Segments covered in the Report:
By Component
- Tools (Without Services)
- Services
By Application
- Supply Chain & Procurement
- Marketing
- Business Transaction
- Intrusion Detection
- Others
By Enterprise Size
- Large Enterprises
- Small & Medium Enterprises
By Deployment Type
By End-use
- Telecom & IT
- BFSI
- Manufacturing
- Healthcare & Lifesciences
- Retail
- Education
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Companies Profiled
- Oracle Corporation
- IBM corporation
- KNIME AG
- Altair Engineering, Inc. (IMG Companies, LLC)
- Microsoft Corporation
- Sisense, Inc.
- Google, LLC (Kaggle Inc.)
- SAS Institute, Inc.
- SAP SE
- Teradata Corporation
Unique Offerings from KBV Research
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global Data Mining Tools Market, by Component
- 1.4.2 Global Data Mining Tools Market, by Application
- 1.4.3 Global Data Mining Tools Market, by Enterprise Size
- 1.4.4 Global Data Mining Tools Market, by Deployment Type
- 1.4.5 Global Data Mining Tools Market, by End-use
- 1.4.6 Global Data Mining Tools Market, by Geography
- 1.5 Methodology for the research
Chapter 2. Market At a Glance
Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
- 4.1 Market Share Analysis, 2022
- 4.2 Porter's Five Force Analysis
Chapter 5. Global Data Mining Tools Market by Component
- 5.1 Global Tools (Without Services) Market by Region
- 5.2 Global Services Market by Region
Chapter 6. Global Data Mining Tools Market by Application
- 6.1 Global Supply Chain & Procurement Market by Region
- 6.2 Global Marketing Market by Region
- 6.3 Global Business Transaction Market by Region
- 6.4 Global Intrusion Detection Market by Region
- 6.5 Global Other Application Market by Region
Chapter 7. Global Data Mining Tools Market by Enterprise Size
- 7.1 Global Large Enterprises Market by Region
- 7.2 Global Small & Medium Enterprises Market by Region
Chapter 8. Global Data Mining Tools Market by Deployment Type
- 8.1 Global On premise Market by Region
- 8.2 Global Cloud Market by Region
Chapter 9. Global Data Mining Tools Market by End-use
- 9.1 Global Telecom & IT Market by Region
- 9.2 Global BFSI Market by Region
- 9.3 Global Manufacturing Market by Region
- 9.4 Global Healthcare & Lifesciences Market by Region
- 9.5 Global Retail Market by Region
- 9.6 Global Education Market by Region
- 9.7 Global Others Market by Region
Chapter 10. Global Data Mining Tools Market by Region
- 10.1 North America Data Mining Tools Market
- 10.1.1 North America Data Mining Tools Market by Component
- 10.1.1.1 North America Tools (Without Services) Market by Country
- 10.1.1.2 North America Services Market by Country
- 10.1.2 North America Data Mining Tools Market by Application
- 10.1.2.1 North America Supply Chain & Procurement Market by Country
- 10.1.2.2 North America Marketing Market by Country
- 10.1.2.3 North America Business Transaction Market by Country
- 10.1.2.4 North America Intrusion Detection Market by Country
- 10.1.2.5 North America Other Application Market by Country
- 10.1.3 North America Data Mining Tools Market by Enterprise Size
- 10.1.3.1 North America Large Enterprises Market by Country
- 10.1.3.2 North America Small & Medium Enterprises Market by Country
- 10.1.4 North America Data Mining Tools Market by Deployment Type
- 10.1.4.1 North America On premise Market by Country
- 10.1.4.2 North America Cloud Market by Country
- 10.1.5 North America Data Mining Tools Market by End-use
- 10.1.5.1 North America Telecom & IT Market by Country
- 10.1.5.2 North America BFSI Market by Country
- 10.1.5.3 North America Manufacturing Market by Country
- 10.1.5.4 North America Healthcare & Lifesciences Market by Country
- 10.1.5.5 North America Retail Market by Country
- 10.1.5.6 North America Education Market by Country
- 10.1.5.7 North America Others Market by Country
- 10.1.6 North America Data Mining Tools Market by Country
- 10.1.6.1 US Data Mining Tools Market
- 10.1.6.1.1 US Data Mining Tools Market by Component
- 10.1.6.1.2 US Data Mining Tools Market by Application
- 10.1.6.1.3 US Data Mining Tools Market by Enterprise Size
- 10.1.6.1.4 US Data Mining Tools Market by Deployment Type
- 10.1.6.1.5 US Data Mining Tools Market by End-use
- 10.1.6.2 Canada Data Mining Tools Market
- 10.1.6.2.1 Canada Data Mining Tools Market by Component
- 10.1.6.2.2 Canada Data Mining Tools Market by Application
- 10.1.6.2.3 Canada Data Mining Tools Market by Enterprise Size
- 10.1.6.2.4 Canada Data Mining Tools Market by Deployment Type
- 10.1.6.2.5 Canada Data Mining Tools Market by End-use
- 10.1.6.3 Mexico Data Mining Tools Market
- 10.1.6.3.1 Mexico Data Mining Tools Market by Component
- 10.1.6.3.2 Mexico Data Mining Tools Market by Application
- 10.1.6.3.3 Mexico Data Mining Tools Market by Enterprise Size
- 10.1.6.3.4 Mexico Data Mining Tools Market by Deployment Type
- 10.1.6.3.5 Mexico Data Mining Tools Market by End-use
- 10.1.6.4 Rest of North America Data Mining Tools Market
- 10.1.6.4.1 Rest of North America Data Mining Tools Market by Component
- 10.1.6.4.2 Rest of North America Data Mining Tools Market by Application
- 10.1.6.4.3 Rest of North America Data Mining Tools Market by Enterprise Size
- 10.1.6.4.4 Rest of North America Data Mining Tools Market by Deployment Type
- 10.1.6.4.5 Rest of North America Data Mining Tools Market by End-use
- 10.2 Europe Data Mining Tools Market
- 10.2.1 Europe Data Mining Tools Market by Component
- 10.2.1.1 Europe Tools (Without Services) Market by Country
- 10.2.1.2 Europe Services Market by Country
- 10.2.2 Europe Data Mining Tools Market by Application
- 10.2.2.1 Europe Supply Chain & Procurement Market by Country
- 10.2.2.2 Europe Marketing Market by Country
- 10.2.2.3 Europe Business Transaction Market by Country
- 10.2.2.4 Europe Intrusion Detection Market by Country
- 10.2.2.5 Europe Other Application Market by Country
- 10.2.3 Europe Data Mining Tools Market by Enterprise Size
- 10.2.3.1 Europe Large Enterprises Market by Country
- 10.2.3.2 Europe Small & Medium Enterprises Market by Country
- 10.2.4 Europe Data Mining Tools Market by Deployment Type
- 10.2.4.1 Europe On premise Market by Country
- 10.2.4.2 Europe Cloud Market by Country
- 10.2.5 Europe Data Mining Tools Market by End-use
- 10.2.5.1 Europe Telecom & IT Market by Country
- 10.2.5.2 Europe BFSI Market by Country
- 10.2.5.3 Europe Manufacturing Market by Country
- 10.2.5.4 Europe Healthcare & Lifesciences Market by Country
- 10.2.5.5 Europe Retail Market by Country
- 10.2.5.6 Europe Education Market by Country
- 10.2.5.7 Europe Others Market by Country
- 10.2.6 Europe Data Mining Tools Market by Country
- 10.2.6.1 Germany Data Mining Tools Market
- 10.2.6.1.1 Germany Data Mining Tools Market by Component
- 10.2.6.1.2 Germany Data Mining Tools Market by Application
- 10.2.6.1.3 Germany Data Mining Tools Market by Enterprise Size
- 10.2.6.1.4 Germany Data Mining Tools Market by Deployment Type
- 10.2.6.1.5 Germany Data Mining Tools Market by End-use
- 10.2.6.2 UK Data Mining Tools Market
- 10.2.6.2.1 UK Data Mining Tools Market by Component
- 10.2.6.2.2 UK Data Mining Tools Market by Application
- 10.2.6.2.3 UK Data Mining Tools Market by Enterprise Size
- 10.2.6.2.4 UK Data Mining Tools Market by Deployment Type
- 10.2.6.2.5 UK Data Mining Tools Market by End-use
- 10.2.6.3 France Data Mining Tools Market
- 10.2.6.3.1 France Data Mining Tools Market by Component
- 10.2.6.3.2 France Data Mining Tools Market by Application
- 10.2.6.3.3 France Data Mining Tools Market by Enterprise Size
- 10.2.6.3.4 France Data Mining Tools Market by Deployment Type
- 10.2.6.3.5 France Data Mining Tools Market by End-use
- 10.2.6.4 Russia Data Mining Tools Market
- 10.2.6.4.1 Russia Data Mining Tools Market by Component
- 10.2.6.4.2 Russia Data Mining Tools Market by Application
- 10.2.6.4.3 Russia Data Mining Tools Market by Enterprise Size
- 10.2.6.4.4 Russia Data Mining Tools Market by Deployment Type
- 10.2.6.4.5 Russia Data Mining Tools Market by End-use
- 10.2.6.5 Spain Data Mining Tools Market
- 10.2.6.5.1 Spain Data Mining Tools Market by Component
- 10.2.6.5.2 Spain Data Mining Tools Market by Application
- 10.2.6.5.3 Spain Data Mining Tools Market by Enterprise Size
- 10.2.6.5.4 Spain Data Mining Tools Market by Deployment Type
- 10.2.6.5.5 Spain Data Mining Tools Market by End-use
- 10.2.6.6 Italy Data Mining Tools Market
- 10.2.6.6.1 Italy Data Mining Tools Market by Component
- 10.2.6.6.2 Italy Data Mining Tools Market by Application
- 10.2.6.6.3 Italy Data Mining Tools Market by Enterprise Size
- 10.2.6.6.4 Italy Data Mining Tools Market by Deployment Type
- 10.2.6.6.5 Italy Data Mining Tools Market by End-use
- 10.2.6.7 Rest of Europe Data Mining Tools Market
- 10.2.6.7.1 Rest of Europe Data Mining Tools Market by Component
- 10.2.6.7.2 Rest of Europe Data Mining Tools Market by Application
- 10.2.6.7.3 Rest of Europe Data Mining Tools Market by Enterprise Size
- 10.2.6.7.4 Rest of Europe Data Mining Tools Market by Deployment Type
- 10.2.6.7.5 Rest of Europe Data Mining Tools Market by End-use
- 10.3 Asia Pacific Data Mining Tools Market
- 10.3.1 Asia Pacific Data Mining Tools Market by Component
- 10.3.1.1 Asia Pacific Tools (Without Services) Market by Country
- 10.3.1.2 Asia Pacific Services Market by Country
- 10.3.2 Asia Pacific Data Mining Tools Market by Application
- 10.3.2.1 Asia Pacific Supply Chain & Procurement Market by Country
- 10.3.2.2 Asia Pacific Marketing Market by Country
- 10.3.2.3 Asia Pacific Business Transaction Market by Country
- 10.3.2.4 Asia Pacific Intrusion Detection Market by Country
- 10.3.2.5 Asia Pacific Other Application Market by Country
- 10.3.3 Asia Pacific Data Mining Tools Market by Enterprise Size
- 10.3.3.1 Asia Pacific Large Enterprises Market by Country
- 10.3.3.2 Asia Pacific Small & Medium Enterprises Market by Country
- 10.3.4 Asia Pacific Data Mining Tools Market by Deployment Type
- 10.3.4.1 Asia Pacific On premise Market by Country
- 10.3.4.2 Asia Pacific Cloud Market by Country
- 10.3.5 Asia Pacific Data Mining Tools Market by End-use
- 10.3.5.1 Asia Pacific Telecom & IT Market by Country
- 10.3.5.2 Asia Pacific BFSI Market by Country
- 10.3.5.3 Asia Pacific Manufacturing Market by Country
- 10.3.5.4 Asia Pacific Healthcare & Lifesciences Market by Country
- 10.3.5.5 Asia Pacific Retail Market by Country
- 10.3.5.6 Asia Pacific Education Market by Country
- 10.3.5.7 Asia Pacific Others Market by Country
- 10.3.6 Asia Pacific Data Mining Tools Market by Country
- 10.3.6.1 China Data Mining Tools Market
- 10.3.6.1.1 China Data Mining Tools Market by Component
- 10.3.6.1.2 China Data Mining Tools Market by Application
- 10.3.6.1.3 China Data Mining Tools Market by Enterprise Size
- 10.3.6.1.4 China Data Mining Tools Market by Deployment Type
- 10.3.6.1.5 China Data Mining Tools Market by End-use
- 10.3.6.2 Japan Data Mining Tools Market
- 10.3.6.2.1 Japan Data Mining Tools Market by Component
- 10.3.6.2.2 Japan Data Mining Tools Market by Application
- 10.3.6.2.3 Japan Data Mining Tools Market by Enterprise Size
- 10.3.6.2.4 Japan Data Mining Tools Market by Deployment Type
- 10.3.6.2.5 Japan Data Mining Tools Market by End-use
- 10.3.6.3 India Data Mining Tools Market
- 10.3.6.3.1 India Data Mining Tools Market by Component
- 10.3.6.3.2 India Data Mining Tools Market by Application
- 10.3.6.3.3 India Data Mining Tools Market by Enterprise Size
- 10.3.6.3.4 India Data Mining Tools Market by Deployment Type
- 10.3.6.3.5 India Data Mining Tools Market by End-use
- 10.3.6.4 South Korea Data Mining Tools Market
- 10.3.6.4.1 South Korea Data Mining Tools Market by Component
- 10.3.6.4.2 South Korea Data Mining Tools Market by Application
- 10.3.6.4.3 South Korea Data Mining Tools Market by Enterprise Size
- 10.3.6.4.4 South Korea Data Mining Tools Market by Deployment Type
- 10.3.6.4.5 South Korea Data Mining Tools Market by End-use
- 10.3.6.5 Singapore Data Mining Tools Market
- 10.3.6.5.1 Singapore Data Mining Tools Market by Component
- 10.3.6.5.2 Singapore Data Mining Tools Market by Application
- 10.3.6.5.3 Singapore Data Mining Tools Market by Enterprise Size
- 10.3.6.5.4 Singapore Data Mining Tools Market by Deployment Type
- 10.3.6.5.5 Singapore Data Mining Tools Market by End-use
- 10.3.6.6 Malaysia Data Mining Tools Market
- 10.3.6.6.1 Malaysia Data Mining Tools Market by Component
- 10.3.6.6.2 Malaysia Data Mining Tools Market by Application
- 10.3.6.6.3 Malaysia Data Mining Tools Market by Enterprise Size
- 10.3.6.6.4 Malaysia Data Mining Tools Market by Deployment Type
- 10.3.6.6.5 Malaysia Data Mining Tools Market by End-use
- 10.3.6.7 Rest of Asia Pacific Data Mining Tools Market
- 10.3.6.7.1 Rest of Asia Pacific Data Mining Tools Market by Component
- 10.3.6.7.2 Rest of Asia Pacific Data Mining Tools Market by Application
- 10.3.6.7.3 Rest of Asia Pacific Data Mining Tools Market by Enterprise Size
- 10.3.6.7.4 Rest of Asia Pacific Data Mining Tools Market by Deployment Type
- 10.3.6.7.5 Rest of Asia Pacific Data Mining Tools Market by End-use
- 10.4 LAMEA Data Mining Tools Market
- 10.4.1 LAMEA Data Mining Tools Market by Component
- 10.4.1.1 LAMEA Tools (Without Services) Market by Country
- 10.4.1.2 LAMEA Services Market by Country
- 10.4.2 LAMEA Data Mining Tools Market by Application
- 10.4.2.1 LAMEA Supply Chain & Procurement Market by Country
- 10.4.2.2 LAMEA Marketing Market by Country
- 10.4.2.3 LAMEA Business Transaction Market by Country
- 10.4.2.4 LAMEA Intrusion Detection Market by Country
- 10.4.2.5 LAMEA Other Application Market by Country
- 10.4.3 LAMEA Data Mining Tools Market by Enterprise Size
- 10.4.3.1 LAMEA Large Enterprises Market by Country
- 10.4.3.2 LAMEA Small & Medium Enterprises Market by Country
- 10.4.4 LAMEA Data Mining Tools Market by Deployment Type
- 10.4.4.1 LAMEA On premise Market by Country
- 10.4.4.2 LAMEA Cloud Market by Country
- 10.4.5 LAMEA Data Mining Tools Market by End-use
- 10.4.5.1 LAMEA Telecom & IT Market by Country
- 10.4.5.2 LAMEA BFSI Market by Country
- 10.4.5.3 LAMEA Manufacturing Market by Country
- 10.4.5.4 LAMEA Healthcare & Lifesciences Market by Country
- 10.4.5.5 LAMEA Retail Market by Country
- 10.4.5.6 LAMEA Education Market by Country
- 10.4.5.7 LAMEA Others Market by Country
- 10.4.6 LAMEA Data Mining Tools Market by Country
- 10.4.6.1 Brazil Data Mining Tools Market
- 10.4.6.1.1 Brazil Data Mining Tools Market by Component
- 10.4.6.1.2 Brazil Data Mining Tools Market by Application
- 10.4.6.1.3 Brazil Data Mining Tools Market by Enterprise Size
- 10.4.6.1.4 Brazil Data Mining Tools Market by Deployment Type
- 10.4.6.1.5 Brazil Data Mining Tools Market by End-use
- 10.4.6.2 Argentina Data Mining Tools Market
- 10.4.6.2.1 Argentina Data Mining Tools Market by Component
- 10.4.6.2.2 Argentina Data Mining Tools Market by Application
- 10.4.6.2.3 Argentina Data Mining Tools Market by Enterprise Size
- 10.4.6.2.4 Argentina Data Mining Tools Market by Deployment Type
- 10.4.6.2.5 Argentina Data Mining Tools Market by End-use
- 10.4.6.3 UAE Data Mining Tools Market
- 10.4.6.3.1 UAE Data Mining Tools Market by Component
- 10.4.6.3.2 UAE Data Mining Tools Market by Application
- 10.4.6.3.3 UAE Data Mining Tools Market by Enterprise Size
- 10.4.6.3.4 UAE Data Mining Tools Market by Deployment Type
- 10.4.6.3.5 UAE Data Mining Tools Market by End-use
- 10.4.6.4 Saudi Arabia Data Mining Tools Market
- 10.4.6.4.1 Saudi Arabia Data Mining Tools Market by Component
- 10.4.6.4.2 Saudi Arabia Data Mining Tools Market by Application
- 10.4.6.4.3 Saudi Arabia Data Mining Tools Market by Enterprise Size
- 10.4.6.4.4 Saudi Arabia Data Mining Tools Market by Deployment Type
- 10.4.6.4.5 Saudi Arabia Data Mining Tools Market by End-use
- 10.4.6.5 South Africa Data Mining Tools Market
- 10.4.6.5.1 South Africa Data Mining Tools Market by Component
- 10.4.6.5.2 South Africa Data Mining Tools Market by Application
- 10.4.6.5.3 South Africa Data Mining Tools Market by Enterprise Size
- 10.4.6.5.4 South Africa Data Mining Tools Market by Deployment Type
- 10.4.6.5.5 South Africa Data Mining Tools Market by End-use
- 10.4.6.6 Nigeria Data Mining Tools Market
- 10.4.6.6.1 Nigeria Data Mining Tools Market by Component
- 10.4.6.6.2 Nigeria Data Mining Tools Market by Application
- 10.4.6.6.3 Nigeria Data Mining Tools Market by Enterprise Size
- 10.4.6.6.4 Nigeria Data Mining Tools Market by Deployment Type
- 10.4.6.6.5 Nigeria Data Mining Tools Market by End-use
- 10.4.6.7 Rest of LAMEA Data Mining Tools Market
- 10.4.6.7.1 Rest of LAMEA Data Mining Tools Market by Component
- 10.4.6.7.2 Rest of LAMEA Data Mining Tools Market by Application
- 10.4.6.7.3 Rest of LAMEA Data Mining Tools Market by Enterprise Size
- 10.4.6.7.4 Rest of LAMEA Data Mining Tools Market by Deployment Type
- 10.4.6.7.5 Rest of LAMEA Data Mining Tools Market by End-use
Chapter 11. Company Profiles
- 11.1 Oracle Corporation
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Segmental and Regional Analysis
- 11.1.4 Research & Development Expense
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Product Launches and Product Expansions:
- 11.1.6 SWOT Analysis
- 11.2 IBM Corporation
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental and Regional Analysis
- 11.2.4 Research & Development Expenses
- 11.2.5 SWOT Analysis
- 11.3 KNIME AG
- 11.3.1 Company Overview
- 11.3.2 Recent Strategies and Developments:
- 11.3.2.1 Product Launches and Product Expansions:
- 11.3.3 SWOT Analysis
- 11.4 Altair Engineering, Inc. (IMG Companies, LLC)
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental and Regional Analysis
- 11.4.4 Research & Development Expenses
- 11.4.5 Recent strategies and developments:
- 11.4.5.1 Acquisition and Mergers:
- 11.4.6 SWOT Analysis
- 11.5 Microsoft Corporation
- 11.5.1 Company Overview
- 11.5.2 Financial Analysis
- 11.5.3 Segmental and Regional Analysis
- 11.5.4 Research & Development Expenses
- 11.5.5 SWOT Analysis
- 11.6 Sisense, Inc.
- 11.6.1 Company Overview
- 11.6.2 SWOT Analysis
- 11.7 Google, LLC (Kaggle Inc.)
- 11.7.1 Company Overview
- 11.7.2 Financial Analysis
- 11.7.3 Segmental and Regional Analysis
- 11.7.4 Research & Development Expense
- 11.7.5 SWOT Analysis
- 11.8 SAS Institute, Inc.
- 11.8.1 Company Overview
- 11.8.2 Recent strategies and developments:
- 11.8.2.1 Product Launches and Product Expansions:
- 11.8.3 SWOT Analysis
- 11.9 SAP SE
- 11.9.1 Company Overview
- 11.9.2 Financial Analysis
- 11.9.3 Segmental and Regional Analysis
- 11.9.4 Research & Development Expense
- 11.9.5 Recent strategies and developments:
- 11.9.5.1 Acquisition and Mergers:
- 11.9.6 SWOT Analysis
- 11.10. Teradata Corporation
- 11.10.1 Company Overview
- 11.10.2 Financial Analysis
- 11.10.3 Regional Analysis
- 11.10.4 Research & Development Expense
- 11.10.5 SWOT Analysis
Chapter 12. Winning Imperative for Data Mining Tools Market