Europe Machine Learning (ML) Market Size, Share & COVID-19 Impact Analysis, By Enterprise Type (Small and Mid-Sized Enterprises (SMEs) and Large Enterprises), By Deployment (Cloud and On-premise), By End-use Industry (Healthcare, Retail, IT and Telecommunication, BFSI, Automotive and Transportation, Advertising and Media, Manufacturing, and Others), and Regional Forecast, 2023-2030

Last Updated: December 01, 2025 | Format: PDF | Report ID: FBI107475

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Table of Content

Introduction
1. Definition, By Segment
2. Research Methodology/Approach
3. Data Sources
Executive Summary
Market Dynamics
1. Macro and Micro Economic Indicators
2. Drivers, Restraints, Opportunities and Trends
3. Impact of COVID-19
Competition Landscape
1. Business Strategies Adopted by Key Players
2. Consolidated SWOT Analysis of Key Players
3. Europe Machine Learning (ML) Key Players Market Share/Ranking, 2022
Europe Machine Learning (ML) Market Size Estimates and Forecasts, By Segments, 2019-2030
1. Key Findings
2. By Enterprise Type (USD)
  1. Small and Mid-sized Enterprises (SMEs)
  2. Large Enterprises
3. By Deployment (USD)
  1. Cloud
  2. On-premise
4. By End-Use Industry (USD)
  1. Healthcare
  2. Retail
  3. IT & Telecommunication
  4. Banking, Financial Services and Insurance (BFSI)
  5. Automotive & Transportation
  6. Advertising & Media
  7. Manufacturing
  8. Others (Energy & Utilities, etc.)
5. By Country (USD)
  1. U.K.
  2. Germany
  3. France
  4. Scandinavia
  5. Rest of Europe
Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
1. SAP SE
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
2. KNIME AG
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
3. Software Mind
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
4. AI Superior
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
5. KONUX GmbH
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
6. Shift Technology
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
7. Refinitiv
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
8. SS&C Blue Prism
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
9. Darktrace
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
10. Clarivate Analytics Llc
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments

Introduction
1. Definition, By Segment
2. Research Methodology/Approach
3. Data Sources
Executive Summary
Market Dynamics
1. Macro and Micro Economic Indicators
2. Drivers, Restraints, Opportunities and Trends
3. Impact of COVID-19
Competition Landscape
1. Business Strategies Adopted by Key Players
2. Consolidated SWOT Analysis of Key Players
3. Europe Machine Learning (ML) Key Players Market Share/Ranking, 2022
Europe Machine Learning (ML) Market Size Estimates and Forecasts, By Segments, 2019-2030
1. Key Findings
2. By Enterprise Type (USD)
  1. Small and Mid-sized Enterprises (SMEs)
  2. Large Enterprises
3. By Deployment (USD)
  1. Cloud
  2. On-premise
4. By End-Use Industry (USD)
  1. Healthcare
  2. Retail
  3. IT & Telecommunication
  4. Banking, Financial Services and Insurance (BFSI)
  5. Automotive & Transportation
  6. Advertising & Media
  7. Manufacturing
  8. Others (Energy & Utilities, etc.)
5. By Country (USD)
  1. U.K.
  2. Germany
  3. France
  4. Scandinavia
  5. Rest of Europe
Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
1. SAP SE
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
2. KNIME AG
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
3. Software Mind
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
4. AI Superior
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
5. KONUX GmbH
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
6. Shift Technology
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
7. Refinitiv
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
8. SS&C Blue Prism
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
9. Darktrace
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments
10. Clarivate Analytics Llc
  1. Overview
    1. Key Management
    2. Headquarters
    3. Offerings/Business Segments
  2. Key Details (Key details are consolidated data and not product/service specific)
    1. Employee Size
    2. Past and Current Revenue
    3. Geographical Share
    4. Business Segment Share
    5. Recent Developments

Read Less

List of Figures

Figure 1: Europe Machine Learning (ML) Market Revenue Share (%), 2022 and 2030

Figure 2: Europe Machine Learning (ML) Market Revenue Share (%), By Enterprise Type, 2022 and 2030

Figure 3: Europe Machine Learning (ML) Market Revenue Share (%), By Deployment, 2022 and 2030

Figure 4: Europe Machine Learning (ML) Market Revenue Share (%), By End-Use Industry, 2022 and 2030

Figure 5: Europe Machine Learning (ML) Market Revenue Share (%), By Country, 2022 and 2030

Figure 6: Europe Machine Learning (ML) Key Players Market Revenue Share (%), 2022

List of Tables

Table 1: Europe Machine Learning (ML) Market Size Estimates and Forecasts, 2019 – 2030

Table 2: Europe Machine Learning (ML) Market Size Estimates and Forecasts, By Enterprise Type, 2019 – 2030

Table 3: Europe Machine Learning (ML) Market Size Estimates and Forecasts, By Deployment, 2019 – 2030

Table 4: Europe Machine Learning (ML) Market Size Estimates and Forecasts, By End-Use Industry, 2019 – 2030

Table 5: Europe Machine Learning (ML) Market Size Estimates and Forecasts, By Country, 2019 – 2030

STUDY PERIOD: 2019-2030
BASE YEAR: 2022
HISTORICAL DATA: 2019-2021
NO OF PAGES: 145

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