Europe Automated Machine Learning Market Size, Share & Industry Trends Analysis Report By Application, By Offering (Solution and Services), By Vertical, By Country and Growth Forecast, 2023 - 2029

Europe Automated Machine Learning Market Size, Share & Industry Trends Analysis Report By Application, By Offering (Solution and Services), By Vertical, By Country and Growth Forecast, 2023 - 2029


The Europe Automated Machine Learning Market would witness market growth of 42.3% CAGR during the forecast period (2023-2029).

AutoML systems gather data from various internal (CRM databases) and external (social media & online data) sources about consumer behavior, firm size, and industry to analyze each lead and assign it a score. With the help of this score, one can tell if a lead is qualified for the business in the issue. In addition, the solution can provide reason codes for every lead, letting salespeople know the crucial aspects that make a lead worthwhile.

AutoML promises to make machine learning modeling accessible to people with little data science knowledge by streamlining and simplifying the process of developing and deploying machine learning models.

The difficult activities involved in machine learning include feature engineering, data preprocessing, hyperparameter tuning, model selection, and model deployment. By automating these processes, autoML systems enable users to construct machine learning models without considerable algorithmic or coding expertise. Because of several causes, the AutoML market has significantly expanded recently. First, there is a demand for streamlined and effective model-creation procedures due to the growing use of machine learning across various businesses. Businesses may use machine learning to their advantage using AutoML without hiring many data scientists.

Big data is used in the medical field to compute intricate statistics in large quantities and provide trends & patterns that are essential for applications in the healthcare sector. Big Data helps doctors identify potential issues before they arise. The use of Big Data by numerous companies has completely changed health care in Germany. These businesses work closely with health economists, statisticians, physicians, IT experts, and analysts to expand the body of information about optimal therapies that are based on evidence. Big Data in healthcare is responsible for managing this, and medical personnel can use it effectively with AI and ML. In light of this, the regional market is predicted to grow steadily in the upcoming years.

The Germany market dominated the Europe Automated Machine Learning Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $587 million by 2029. The UK market is anticipated to grow at a CAGR of 41.1% during (2023 - 2029). Additionally, The France market would showcase a CAGR of 43.3% during (2023 - 2029).

Based on Application, the market is segmented into Data Processing, Feature Engineering, Model Selection, Hyperparameter Optimization & Tuning, Model Ensembling and Others. Based on Offering, the market is segmented into Solution and Services. Based on Solution Type, the market is segmented into Platform and Software Based on Solution Deployment, the market is segmented into Cloud and On-premise. Based on Vertical, the market is segmented into BFSI, IT & Telecom, Retail & Ecommerce, Media & Entertainment, Healthcare & Life Sciences, Government & Defense, Manufacturing, Automotive, Transportations, & Logistics, 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 stake holders of the market. Key companies profiled in the report include Oracle Corporation, IBM Corporation, Microsoft Corporation, Google LLC (Alphabet Inc.), Amazon Web Services, Inc. (Amazon.com, Inc.), Salesforce, Inc., Hewlett-Packard enterprise Company, Teradata Corporation, Alibaba Cloud (Alibaba Group Holding Limited) and Databricks, Inc.

Scope of the Study

Market Segments covered in the Report:

By Application
  • Data Processing
  • Feature Engineering
  • Model Selection
  • Hyperparameter Optimization & Tuning
  • Model Ensembling
  • Others
By Offering
  • Solution
  • Type
  • Platform
  • Software
  • Deployment
  • Cloud
  • On-premise
  • Services
By Vertical
  • BFSI
  • IT & Telecom
  • Retail & Ecommerce
  • Media & Entertainment
  • Healthcare & Life Sciences
  • Government & Defense
  • Manufacturing
  • Automotive, Transportations, & Logistics
  • Others
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
Companies Profiled
  • Oracle Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Salesforce, Inc.
  • Hewlett-Packard enterprise Company
  • Teradata Corporation
  • Alibaba Cloud (Alibaba Group Holding Limited)
  • Databricks, Inc.
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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 Europe Automated Machine Learning Market, by Application
1.4.2 Europe Automated Machine Learning Market, by Offering
1.4.3 Europe Automated Machine Learning Market, by Vertical
1.4.4 Europe Automated Machine Learning Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market composition & scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Jun – 2023, May) Leading Players
Chapter 4. Europe Automated Machine Learning Market by Application
4.1 Europe Data Processing Market by Country
4.2 Europe Feature Engineering Market by Country
4.3 Europe Model Selection Market by Country
4.4 Europe Hyperparameter Optimization & Tuning Market by Country
4.5 Europe Model Ensembling Market by Country
4.6 Europe Others Market by Country
Chapter 5. Europe Automated Machine Learning Market by Offering
5.1 Europe Solution Market by Country
5.2 Europe Automated Machine Learning Market by Solution Type
5.2.1 Europe Platform Market by Country
5.2.2 Europe Software Market by Country
5.3 Europe Automated Machine Learning Market by Solution Deployment
5.3.1 Europe Cloud Market by Country
5.3.2 Europe On-premise Market by Country
5.4 Europe Services Market by Country
Chapter 6. Europe Automated Machine Learning Market by Vertical
6.1 Europe BFSI Market by Country
6.2 Europe IT & Telecom Market by Country
6.3 Europe Retail & Ecommerce Market by Country
6.4 Europe Media & Entertainment Market by Country
6.5 Europe Healthcare & Life Sciences Market by Country
6.6 Europe Government & Defense Market by Country
6.7 Europe Manufacturing Market by Country
6.8 Europe Automotive, Transportations, & Logistics Market by Country
6.9 Europe Others Market by Country
Chapter 7. Europe Automated Machine Learning Market by Country
7.1 Germany Automated Machine Learning Market
7.1.1 Germany Automated Machine Learning Market by Application
7.1.2 Germany Automated Machine Learning Market by Offering
7.1.2.1 Germany Automated Machine Learning Market by Solution Type
7.1.2.2 Germany Automated Machine Learning Market by Solution Deployment
7.1.3 Germany Automated Machine Learning Market by Vertical
7.2 UK Automated Machine Learning Market
7.2.1 UK Automated Machine Learning Market by Application
7.2.2 UK Automated Machine Learning Market by Offering
7.2.2.1 UK Automated Machine Learning Market by Solution Type
7.2.2.2 UK Automated Machine Learning Market by Solution Deployment
7.2.3 UK Automated Machine Learning Market by Vertical
7.3 France Automated Machine Learning Market
7.3.1 France Automated Machine Learning Market by Application
7.3.2 France Automated Machine Learning Market by Offering
7.3.2.1 France Automated Machine Learning Market by Solution Type
7.3.2.2 France Automated Machine Learning Market by Solution Deployment
7.3.3 France Automated Machine Learning Market by Vertical
7.4 Russia Automated Machine Learning Market
7.4.1 Russia Automated Machine Learning Market by Application
7.4.2 Russia Automated Machine Learning Market by Offering
7.4.2.1 Russia Automated Machine Learning Market by Solution Type
7.4.2.2 Russia Automated Machine Learning Market by Solution Deployment
7.4.3 Russia Automated Machine Learning Market by Vertical
7.5 Spain Automated Machine Learning Market
7.5.1 Spain Automated Machine Learning Market by Application
7.5.2 Spain Automated Machine Learning Market by Offering
7.5.2.1 Spain Automated Machine Learning Market by Solution Type
7.5.2.2 Spain Automated Machine Learning Market by Solution Deployment
7.5.3 Spain Automated Machine Learning Market by Vertical
7.6 Italy Automated Machine Learning Market
7.6.1 Italy Automated Machine Learning Market by Application
7.6.2 Italy Automated Machine Learning Market by Offering
7.6.2.1 Italy Automated Machine Learning Market by Solution Type
7.6.2.2 Italy Automated Machine Learning Market by Solution Deployment
7.6.3 Italy Automated Machine Learning Market by Vertical
7.7 Rest of Europe Automated Machine Learning Market
7.7.1 Rest of Europe Automated Machine Learning Market by Application
7.7.2 Rest of Europe Automated Machine Learning Market by Offering
7.7.2.1 Rest of Europe Automated Machine Learning Market by Solution Type
7.7.2.2 Rest of Europe Automated Machine Learning Market by Solution Deployment
7.7.3 Rest of Europe Automated Machine Learning Market by Vertical
Chapter 8. Company Profiles
8.1 Oracle Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.6 SWOT Analysis
8.2 IBM Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Regional & Segmental Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent strategies and developments:
8.2.5.1 Acquisition and Mergers:
8.2.6 SWOT Analysis
8.3 Microsoft Corporation
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expenses
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.6 SWOT Analysis
8.4 Google LLC (Alphabet Inc.)
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments:
8.4.5.1 Partnerships, Collaborations, and Agreements:
8.4.5.2 Product Launches and Product Expansions:
8.4.6 SWOT Analysis
8.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental Analysis
8.5.4 Recent strategies and developments:
8.5.4.1 Partnerships, Collaborations, and Agreements:
8.5.5 SWOT Analysis
8.6 Salesforce, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Regional Analysis
8.6.4 Research & Development Expense
8.6.5 Recent strategies and developments:
8.6.5.1 Partnerships, Collaborations, and Agreements:
8.6.5.2 Product Launches and Product Expansions:
8.6.6 SWOT Analysis
8.7 Hewlett Packard Enterprise Company
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Segmental and Regional Analysis
8.7.4 Research & Development Expense
8.7.5 Recent strategies and developments:
8.7.5.1 Acquisition and Mergers:
8.7.6 SWOT Analysis
8.8 Teradata Corporation
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Regional Analysis
8.8.4 Research & Development Expense
8.8.5 SWOT Analysis
8.9 Alibaba Cloud (Alibaba Group Holding Limited)
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Segmental Analysis
8.9.4 Recent strategies and developments:
8.9.4.1 Partnerships, Collaborations, and Agreements:
8.10. Databricks, Inc.
8.10.1 Company Overview
8.10.2 Recent strategies and developments:
8.10.2.1 Product Launches and Product Expansions:

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