
Europe AI and Machine Learning in Business Market Size, Share & Trends Analysis Report By Component (Solution and Services), By Enterprise Size, By Industry Vertical, By Application, By Country and Growth Forecast, 2024 - 2031
Description
Europe AI and Machine Learning in Business Market Size, Share & Trends Analysis Report By Component (Solution and Services), By Enterprise Size, By Industry Vertical, By Application, By Country and Growth Forecast, 2024 - 2031
The Europe AI and Machine Learning in Business Market would witness market growth of 30.5% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe AI and Machine Learning in Business Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $93,280.4 million by 2031. The UK market is exhibiting CAGR of 29.2% during (2024 - 2031). Additionally, The France market would experience a CAGR of 31.4% during (2024 - 2031).
AI and machine learning are helping companies gain a competitive advantage by improving customer experiences. These technologies enable companies to analyze customer data and behavior and better understand their needs and preferences. By leveraging this data, organizations are able to customize their offerings and provisions to align with these demands, thereby bolstering client loyalty and satisfaction.
Furthermore, AI and machine learning can help companies personalize their products and services. Companies can create personalized recommendations and offers by analyzing data on individual customer preferences and behaviors. This improves the likelihood of customer loyalty and repeat business by enhancing the customer experience.
France is witnessing a surge in AI adoption in retail and manufacturing. French retailers use AI for customer segmentation, recommendation systems, and fraud detection. AI is used in manufacturing for smart factories, quality control, and logistics optimization. French companies like Carrefour and Schneider Electric are investing in AI to improve their business processes and customer engagement. Thus, the increasing use of AI and ML in Europe will support the expansion of the market in the coming years.
Based on Component, the market is segmented into Solution and Services. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Middle-sized Enterprise. Based on Industry Vertical, the market is segmented into BFSI, IT & Telecom, Retail, Energy Sector & Utilities, Manufacturing & Logistics, Healthcare and Others. Based on Application, the market is segmented into Data Analytics, Predictive Analytics, Cyber Security, Supply Chain & Inventory Management and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
- NVIDIA Corporation
- Baidu, Inc.
- SAP SE
- Hewlett Packard Enterprise Company
- Microsoft Corporation
- IBM Corporation
- Intel Corporation
- Salesforce, Inc.
- Google LLC (Alphabet Inc.)
- Amazon.com, Inc.
By Component
- Solution
- Services
- Large Enterprise
- Small & Middle-sized Enterprise
- BFSI
- IT & Telecom
- Retail
- Energy Sector & Utilities
- Manufacturing & Logistics
- Healthcare
- Others
- Data Analytics
- Predictive Analytics
- Cyber Security
- Supply Chain & Inventory Management
- Others
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
167 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Europe AI and Machine Learning in Business Market, by Component
- 1.4.2 Europe AI and Machine Learning in Business Market, by Enterprise Size
- 1.4.3 Europe AI and Machine Learning in Business Market, by Industry Vertical
- 1.4.4 Europe AI and Machine Learning in Business Market, by Application
- 1.4.5 Europe AI and Machine Learning in Business Market, by Country
- 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
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Top Winning Strategies
- 4.3.1 Key Leading Strategies: Percentage Distribution (2020-2024)
- 4.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2021, May – 2024, Apr) Leading Players
- 4.4 Porter Five Forces Analysis
- Chapter 5. Europe AI and Machine Learning in Business Market by Component
- 5.1 Europe Solution Market by Country
- 5.2 Europe Services Market by Country
- Chapter 6. Europe AI and Machine Learning in Business Market by Enterprise Size
- 6.1 Europe Large Enterprise Market by Country
- 6.2 Europe Small & Middle-sized Enterprise Market by Country
- Chapter 7. Europe AI and Machine Learning in Business Market by Industry Vertical
- 7.1 Europe BFSI Market by Country
- 7.2 Europe IT & Telecom Market by Country
- 7.3 Europe Retail Market by Country
- 7.4 Europe Energy Sector & Utilities Market by Country
- 7.5 Europe Manufacturing & Logistics Market by Country
- 7.6 Europe Healthcare Market by Country
- 7.7 Europe Others Market by Country
- Chapter 8. Europe AI and Machine Learning in Business Market by Application
- 8.1 Europe Data Analytics Market by Country
- 8.2 Europe Predictive Analytics Market by Country
- 8.3 Europe Cyber Security Market by Country
- 8.4 Europe Supply Chain & Inventory Management Market by Country
- 8.5 Europe Others Market by Country
- Chapter 9. Europe AI and Machine Learning in Business Market by Country
- 9.1 Germany AI and Machine Learning in Business Market
- 9.1.1 Germany AI and Machine Learning in Business Market by Component
- 9.1.2 Germany AI and Machine Learning in Business Market by Enterprise Size
- 9.1.3 Germany AI and Machine Learning in Business Market by Industry Vertical
- 9.1.4 Germany AI and Machine Learning in Business Market by Application
- 9.2 UK AI and Machine Learning in Business Market
- 9.2.1 UK AI and Machine Learning in Business Market by Component
- 9.2.2 UK AI and Machine Learning in Business Market by Enterprise Size
- 9.2.3 UK AI and Machine Learning in Business Market by Industry Vertical
- 9.2.4 UK AI and Machine Learning in Business Market by Application
- 9.3 France AI and Machine Learning in Business Market
- 9.3.1 France AI and Machine Learning in Business Market by Component
- 9.3.2 France AI and Machine Learning in Business Market by Enterprise Size
- 9.3.3 France AI and Machine Learning in Business Market by Industry Vertical
- 9.3.4 France AI and Machine Learning in Business Market by Application
- 9.4 Russia AI and Machine Learning in Business Market
- 9.4.1 Russia AI and Machine Learning in Business Market by Component
- 9.4.2 Russia AI and Machine Learning in Business Market by Enterprise Size
- 9.4.3 Russia AI and Machine Learning in Business Market by Industry Vertical
- 9.4.4 Russia AI and Machine Learning in Business Market by Application
- 9.5 Spain AI and Machine Learning in Business Market
- 9.5.1 Spain AI and Machine Learning in Business Market by Component
- 9.5.2 Spain AI and Machine Learning in Business Market by Enterprise Size
- 9.5.3 Spain AI and Machine Learning in Business Market by Industry Vertical
- 9.5.4 Spain AI and Machine Learning in Business Market by Application
- 9.6 Italy AI and Machine Learning in Business Market
- 9.6.1 Italy AI and Machine Learning in Business Market by Component
- 9.6.2 Italy AI and Machine Learning in Business Market by Enterprise Size
- 9.6.3 Italy AI and Machine Learning in Business Market by Industry Vertical
- 9.6.4 Italy AI and Machine Learning in Business Market by Application
- 9.7 Rest of Europe AI and Machine Learning in Business Market
- 9.7.1 Rest of Europe AI and Machine Learning in Business Market by Component
- 9.7.2 Rest of Europe AI and Machine Learning in Business Market by Enterprise Size
- 9.7.3 Rest of Europe AI and Machine Learning in Business Market by Industry Vertical
- 9.7.4 Rest of Europe AI and Machine Learning in Business Market by Application
- Chapter 10. Company Profiles
- 10.1 NVIDIA Corporation
- 10.1.1 Company Overview
- 10.1.2 Financial Analysis
- 10.1.3 Segmental and Regional Analysis
- 10.1.4 Research & Development Expenses
- 10.1.5 Recent strategies and developments:
- 10.1.5.1 Partnerships, Collaborations, and Agreements:
- 10.1.5.2 Product Launches and Product Expansions:
- 10.1.6 SWOT Analysis
- 10.2 Google LLC (Alphabet Inc.)
- 10.2.1 Company Overview
- 10.2.2 Financial Analysis
- 10.2.3 Segmental and Regional Analysis
- 10.2.4 Research & Development Expense
- 10.2.5 Recent strategies and developments:
- 10.2.5.1 Partnerships, Collaborations, and Agreements:
- 10.2.5.2 Product Launches and Product Expansions:
- 10.2.5.3 Acquisition and Mergers:
- 10.2.6 SWOT Analysis
- 10.3 Baidu, Inc.
- 10.3.1 Company Overview
- 10.3.2 Financial Analysis
- 10.3.3 Segmental Analysis
- 10.3.4 Research & Development Expenses
- 10.3.5 Recent strategies and developments:
- 10.3.5.1 Partnerships, Collaborations, and Agreements:
- 10.3.5.2 Product Launches and Product Expansions:
- 10.3.6 SWOT Analysis
- 10.4 SAP SE
- 10.4.1 Company Overview
- 10.4.2 Financial Analysis
- 10.4.3 Regional Analysis
- 10.4.4 Research & Development Expense
- 10.4.5 Recent strategies and developments:
- 10.4.5.1 Partnerships, Collaborations, and Agreements:
- 10.4.6 SWOT Analysis
- 10.5 Hewlett Packard Enterprise Company
- 10.5.1 Company Overview
- 10.5.2 Financial Analysis
- 10.5.3 Segmental and Regional Analysis
- 10.5.4 Research & Development Expense
- 10.5.5 Recent strategies and developments:
- 10.5.5.1 Partnerships, Collaborations, and Agreements:
- 10.5.5.2 Product Launches and Product Expansions:
- 10.5.5.3 Acquisition and Mergers:
- 10.5.6 SWOT Analysis
- 10.6 Microsoft Corporation
- 10.6.1 Company Overview
- 10.6.2 Financial Analysis
- 10.6.3 Segmental and Regional Analysis
- 10.6.4 Research & Development Expenses
- 10.6.5 Recent strategies and developments:
- 10.6.5.1 Partnerships, Collaborations, and Agreements:
- 10.6.5.2 Acquisition and Mergers:
- 10.6.6 SWOT Analysis
- 10.7 IBM Corporation
- 10.7.1 Company Overview
- 10.7.2 Financial Analysis
- 10.7.3 Regional & Segmental Analysis
- 10.7.4 Research & Development Expenses
- 10.7.5 Recent strategies and developments:
- 10.7.5.1 Product Launches and Product Expansions:
- 10.7.5.2 Acquisition and Mergers:
- 10.7.5.3 Geographical Expansions:
- 10.7.6 SWOT Analysis
- 10.8 Intel Corporation
- 10.8.1 Company Overview
- 10.8.2 Financial Analysis
- 10.8.3 Segmental and Regional Analysis
- 10.8.4 Research & Development Expenses
- 10.8.5 Recent strategies and developments:
- 10.8.5.1 Partnerships, Collaborations, and Agreements:
- 10.8.5.2 Acquisition and Mergers:
- 10.8.6 SWOT Analysis
- 10.9 Salesforce, Inc.
- 10.9.1 Company Overview
- 10.9.2 Financial Analysis
- 10.9.3 Regional Analysis
- 10.9.4 Research & Development Expenses
- 10.9.5 Recent strategies and developments:
- 10.9.5.1 Partnerships, Collaborations, and Agreements:
- 10.9.5.2 Product Launches and Product Expansions:
- 10.9.5.3 Acquisition and Mergers:
- 10.9.6 SWOT Analysis
- 10.10. Amazon.com, Inc.
- 10.10.1 Company Overview
- 10.10.2 Financial Analysis
- 10.10.3 Segmental Analysis
- 10.10.4 Recent strategies and developments:
- 10.10.4.1 Partnerships, Collaborations, and Agreements:
- 10.10.5 SWOT Analysis
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