The Europe Data Mining Tools Market should witness market growth of 12.4% CAGR during the forecast period (2023-2030).
Data mining tools enabled predictive modelling, helping organizations anticipate future trends, potential risks, and opportunities. This is particularly valuable for industries like finance, healthcare, and marketing. The rapid increase in the volume, velocity, and variety of data generated by businesses and individuals created a demand for tools that could effectively process and analyse this vast amount of information.
Big data often contains information about customer behaviour and preferences. Data mining tools allow businesses to analyse this data to personalize marketing strategies, product recommendations, and customer experiences. Data mining technologies also encompass data extraction, loading, and management in a multidimensional database system to improve organizational efficiency. The escalating volume of organizational data will emerge as a significant market growth driver.
The increasing number of small and medium-sized businesses in developing economies, the increasing awareness of the value of data assets among businesses, the increasing digitization of economies, and the emergence of cloud technology will all lead to the expansion of the market. Consequently, there is a rising need for data mining tools that enhance organizational efficiency. The growth of corporate data will be a major factor in market expansion.
French B2C commerce of goods and services is one of the largest in the world, ranking second in Europe and fifth overall in terms of online consumption in 2021, according to information released by the International Trade Administration on 2023-02-03. The sector is expected to be worth USD 152 billion and is expanding steadily at more than 15%. With the expansion of the e-commerce and retail sectors, the need for customer behaviour analysis is increasing, as is the emphasis on customer satisfaction, creating growth opportunities for the European regional market.
The Germany market dominated the Europe Data Mining Tools Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $151.8 million by 2030. The UK market is exhibiting a CAGR of 11.4% during (2023-2030). Additionally, The France market would experience a CAGR of 13.2% during (2023-2030).
Based on Component, the market is segmented into Tools (Without Services), and Services. Based on Application, the market is segmented into Supply Chain & Procurement, Marketing, Business Transaction, Intrusion Detection, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On premise, and Cloud. Based on End-use, the market is segmented into Telecom & IT, BFSI, Manufacturing, Healthcare & Lifesciences, Retail, Education, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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.
Data mining tools enabled predictive modelling, helping organizations anticipate future trends, potential risks, and opportunities. This is particularly valuable for industries like finance, healthcare, and marketing. The rapid increase in the volume, velocity, and variety of data generated by businesses and individuals created a demand for tools that could effectively process and analyse this vast amount of information.
Big data often contains information about customer behaviour and preferences. Data mining tools allow businesses to analyse this data to personalize marketing strategies, product recommendations, and customer experiences. Data mining technologies also encompass data extraction, loading, and management in a multidimensional database system to improve organizational efficiency. The escalating volume of organizational data will emerge as a significant market growth driver.
The increasing number of small and medium-sized businesses in developing economies, the increasing awareness of the value of data assets among businesses, the increasing digitization of economies, and the emergence of cloud technology will all lead to the expansion of the market. Consequently, there is a rising need for data mining tools that enhance organizational efficiency. The growth of corporate data will be a major factor in market expansion.
French B2C commerce of goods and services is one of the largest in the world, ranking second in Europe and fifth overall in terms of online consumption in 2021, according to information released by the International Trade Administration on 2023-02-03. The sector is expected to be worth USD 152 billion and is expanding steadily at more than 15%. With the expansion of the e-commerce and retail sectors, the need for customer behaviour analysis is increasing, as is the emphasis on customer satisfaction, creating growth opportunities for the European regional market.
The Germany market dominated the Europe Data Mining Tools Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $151.8 million by 2030. The UK market is exhibiting a CAGR of 11.4% during (2023-2030). Additionally, The France market would experience a CAGR of 13.2% during (2023-2030).
Based on Component, the market is segmented into Tools (Without Services), and Services. Based on Application, the market is segmented into Supply Chain & Procurement, Marketing, Business Transaction, Intrusion Detection, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On premise, and Cloud. Based on End-use, the market is segmented into Telecom & IT, BFSI, Manufacturing, Healthcare & Lifesciences, Retail, Education, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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 Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
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
Unique Offerings
- Exhaustive coverage
- The 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
Chapter 2. Market At a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Europe Data Mining Tools Market by Component
Chapter 6. Europe Data Mining Tools Market by Application
Chapter 7. Europe Data Mining Tools Market by Enterprise Size
Chapter 8. Europe Data Mining Tools Market by Deployment Type
Chapter 9. Europe Data Mining Tools Market by End-use
Chapter 10. Europe Data Mining Tools Market by Country
Chapter 11. Company Profiles
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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