Data Mining Tools Market Size, Share & Industry Trends Analysis Report By Component, By Application, By Enterprise Size, By Deployment Type (On premise, and Cloud), By End-use, By Regional Outlook and Forecast, 2023

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.

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.

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.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.

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

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

On premise
Cloud

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

Key Market Players

List of Companies Profiled in the Report:

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

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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

2.1 Key Highlights

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

Companies Mentioned

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

Methodology

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