
Europe Artificial Intelligence of Things (AIoT) Market Size, Share & Trends Analysis Report By Deployment (Cloud and On-Premises), By Component (Hardware, Software, and Services), By End use, By Application, By Vertical, By Country and Growth Forecast, 20
Description
The Europe Artificial Intelligence of Things (AIoT) Market would witness market growth of 26.4% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe Artificial Intelligence of Things (AIoT) Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $5,744.1 million by 2031. The UK market is registering a CAGR of 25.3% during (2024 - 2031). Additionally, The France market would witness a CAGR of 27.4% during (2024 - 2031).
Energy management is another critical area where AIoT is making significant strides. AIoT systems enable real-time monitoring and optimization of energy usage, helping businesses and households reduce consumption and lower costs. Smart meters and AI-powered energy management systems analyze consumption patterns and provide actionable insights for improving efficiency. Moreover, AIoT supports the integration of renewable energy sources into power grids, ensuring a balanced and reliable energy supply. These advancements are not only diminishing energy expenses but also playing a significant role in global initiatives aimed at addressing climate change.
The rise of edge computing is further accelerating the adoption of AIoT. By facilitating the processing of data in proximity to its origin, edge computing diminishes latency and augments the performance of Artificial Intelligence of Things (AIoT) systems. This capability is especially critical for applications necessitating real-time responses, including autonomous vehicles, industrial automation, and smart city infrastructures. Edge computing also addresses data privacy and security concerns by limiting the need to transmit sensitive information to centralized data centers.
France is positioning itself as a leader in AIoT innovation, particularly in the healthcare sector. The Healthcare Innovation 2030 plan, launched in 2021, allocated $7.62 billion (€7 billion) to make France a European leader in health innovation by 2030. Of this, $2.18 billion (€2 billion) is dedicated to strategies for biotherapies, digital health, and emerging infectious diseases. AIoT technologies are playing a vital role in these initiatives, with applications in connected medical devices, remote patient monitoring, and AI-driven diagnostics. These efforts highlight France’s commitment to leveraging AIoT to transform healthcare delivery and achieve long-term innovation goals. Consequently, with an emphasis on sustainability and innovation, the region is strategically positioned to spearhead the global implementation of AIoT solutions across various sectors.
Based on Deployment, the market is segmented into Cloud and On-Premises. Based on Component, the market is segmented into Hardware, Software, and Services. Based on End use, the market is segmented into B2B, B2G, and B2C. Based on Application, the market is segmented into Video Surveillance, Supply Chain Management, Inventory Management, Predictive Maintenance, and Other Application. Based on Vertical, the market is segmented into Manufacturing, Automotive, Healthcare, Retail, BFSI, Logistics, and Agriculture & Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
By Deployment
The Germany market dominated the Europe Artificial Intelligence of Things (AIoT) Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $5,744.1 million by 2031. The UK market is registering a CAGR of 25.3% during (2024 - 2031). Additionally, The France market would witness a CAGR of 27.4% during (2024 - 2031).
Energy management is another critical area where AIoT is making significant strides. AIoT systems enable real-time monitoring and optimization of energy usage, helping businesses and households reduce consumption and lower costs. Smart meters and AI-powered energy management systems analyze consumption patterns and provide actionable insights for improving efficiency. Moreover, AIoT supports the integration of renewable energy sources into power grids, ensuring a balanced and reliable energy supply. These advancements are not only diminishing energy expenses but also playing a significant role in global initiatives aimed at addressing climate change.
The rise of edge computing is further accelerating the adoption of AIoT. By facilitating the processing of data in proximity to its origin, edge computing diminishes latency and augments the performance of Artificial Intelligence of Things (AIoT) systems. This capability is especially critical for applications necessitating real-time responses, including autonomous vehicles, industrial automation, and smart city infrastructures. Edge computing also addresses data privacy and security concerns by limiting the need to transmit sensitive information to centralized data centers.
France is positioning itself as a leader in AIoT innovation, particularly in the healthcare sector. The Healthcare Innovation 2030 plan, launched in 2021, allocated $7.62 billion (€7 billion) to make France a European leader in health innovation by 2030. Of this, $2.18 billion (€2 billion) is dedicated to strategies for biotherapies, digital health, and emerging infectious diseases. AIoT technologies are playing a vital role in these initiatives, with applications in connected medical devices, remote patient monitoring, and AI-driven diagnostics. These efforts highlight France’s commitment to leveraging AIoT to transform healthcare delivery and achieve long-term innovation goals. Consequently, with an emphasis on sustainability and innovation, the region is strategically positioned to spearhead the global implementation of AIoT solutions across various sectors.
Based on Deployment, the market is segmented into Cloud and On-Premises. Based on Component, the market is segmented into Hardware, Software, and Services. Based on End use, the market is segmented into B2B, B2G, and B2C. Based on Application, the market is segmented into Video Surveillance, Supply Chain Management, Inventory Management, Predictive Maintenance, and Other Application. Based on Vertical, the market is segmented into Manufacturing, Automotive, Healthcare, Retail, BFSI, Logistics, and Agriculture & Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Oracle Corporation
- Salesforce, Inc.
- SAS Institute Inc.
- Microsoft Corporation
- PTC Inc.
- SAP SE
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- GE Vernova Group
By Deployment
- Cloud
- On-Premises
- Hardware
- Software
- Services
- B2B
- B2G
- B2C
- Video Surveillance
- Supply Chain Management
- Inventory Management
- Predictive Maintenance
- Other Application
- Manufacturing
- Automotive
- Healthcare
- Retail
- BFSI
- Logistics
- Agriculture & Others
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
169 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Europe Artificial Intelligence of Things (AIoT) Market, by Deployment
- 1.4.2 Europe Artificial Intelligence of Things (AIoT) Market, by Component
- 1.4.3 Europe Artificial Intelligence of Things (AIoT) Market, by End use
- 1.4.4 Europe Artificial Intelligence of Things (AIoT) Market, by Application
- 1.4.5 Europe Artificial Intelligence of Things (AIoT) Market, by Vertical
- 1.4.6 Europe Artificial Intelligence of Things (AIoT) 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 Market Share Analysis, 2023
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2025)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2022-, May – 2025, Jan) Leading Players
- 4.5 Porter Five Forces Analysis
- Chapter 5. Europe Artificial Intelligence of Things (AIoT) Market by Deployment
- 5.1 Europe Cloud Market by Country
- 5.2 Europe On-Premises Market by Country
- Chapter 6. Europe Artificial Intelligence of Things (AIoT) Market by Component
- 6.1 Europe Hardware Market by Country
- 6.2 Europe Software Market by Country
- 6.3 Europe Services Market by Country
- Chapter 7. Europe Artificial Intelligence of Things (AIoT) Market by End use
- 7.1 Europe B2B Market by Country
- 7.2 Europe B2G Market by Country
- 7.3 Europe B2C Market by Country
- Chapter 8. Europe Artificial Intelligence of Things (AIoT) Market by Application
- 8.1 Europe Video Surveillance Market by Country
- 8.2 Europe Supply Chain Management Market by Country
- 8.3 Europe Inventory Management Market by Country
- 8.4 Europe Predictive Maintenance Market by Country
- 8.5 Europe Other Application Market by Country
- Chapter 9. Europe Artificial Intelligence of Things (AIoT) Market by Vertical
- 9.1 Europe Manufacturing Market by Country
- 9.2 Europe Automotive Market by Country
- 9.3 Europe Healthcare Market by Country
- 9.4 Europe Retail Market by Country
- 9.5 Europe BFSI Market by Country
- 9.6 Europe Logistics Market by Country
- 9.7 Europe Agriculture & Others Market by Country
- Chapter 10. Europe Artificial Intelligence of Things (AIoT) Market by Country
- 10.1 Germany Artificial Intelligence of Things (AIoT) Market
- 10.1.1 Germany Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.1.2 Germany Artificial Intelligence of Things (AIoT) Market by Component
- 10.1.3 Germany Artificial Intelligence of Things (AIoT) Market by End use
- 10.1.4 Germany Artificial Intelligence of Things (AIoT) Market by Application
- 10.1.5 Germany Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.2 UK Artificial Intelligence of Things (AIoT) Market
- 10.2.1 UK Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.2.2 UK Artificial Intelligence of Things (AIoT) Market by Component
- 10.2.3 UK Artificial Intelligence of Things (AIoT) Market by End use
- 10.2.4 UK Artificial Intelligence of Things (AIoT) Market by Application
- 10.2.5 UK Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.3 France Artificial Intelligence of Things (AIoT) Market
- 10.3.1 France Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.3.2 France Artificial Intelligence of Things (AIoT) Market by Component
- 10.3.3 France Artificial Intelligence of Things (AIoT) Market by End use
- 10.3.4 France Artificial Intelligence of Things (AIoT) Market by Application
- 10.3.5 France Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.4 Russia Artificial Intelligence of Things (AIoT) Market
- 10.4.1 Russia Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.4.2 Russia Artificial Intelligence of Things (AIoT) Market by Component
- 10.4.3 Russia Artificial Intelligence of Things (AIoT) Market by End use
- 10.4.4 Russia Artificial Intelligence of Things (AIoT) Market by Application
- 10.4.5 Russia Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.5 Spain Artificial Intelligence of Things (AIoT) Market
- 10.5.1 Spain Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.5.2 Spain Artificial Intelligence of Things (AIoT) Market by Component
- 10.5.3 Spain Artificial Intelligence of Things (AIoT) Market by End use
- 10.5.4 Spain Artificial Intelligence of Things (AIoT) Market by Application
- 10.5.5 Spain Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.6 Italy Artificial Intelligence of Things (AIoT) Market
- 10.6.1 Italy Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.6.2 Italy Artificial Intelligence of Things (AIoT) Market by Component
- 10.6.3 Italy Artificial Intelligence of Things (AIoT) Market by End use
- 10.6.4 Italy Artificial Intelligence of Things (AIoT) Market by Application
- 10.6.5 Italy Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.7 Rest of Europe Artificial Intelligence of Things (AIoT) Market
- 10.7.1 Rest of Europe Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.7.2 Rest of Europe Artificial Intelligence of Things (AIoT) Market by Component
- 10.7.3 Rest of Europe Artificial Intelligence of Things (AIoT) Market by End use
- 10.7.4 Rest of Europe Artificial Intelligence of Things (AIoT) Market by Application
- 10.7.5 Rest of Europe Artificial Intelligence of Things (AIoT) Market by Vertical
- Chapter 11. Company Profiles
- 11.1 Google LLC (Alphabet Inc.)
- 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 Partnerships, Collaborations, and Agreements:
- 11.1.6 SWOT Analysis
- 11.2 IBM Corporation
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Regional & Segmental Analysis
- 11.2.4 Research & Development Expenses
- 11.2.5 Recent strategies and developments:
- 11.2.5.1 Partnerships, Collaborations, and Agreements:
- 11.2.5.2 Acquisition and Mergers:
- 11.2.6 SWOT Analysis
- 11.3 Oracle Corporation
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expense
- 11.3.5 Recent strategies and developments:
- 11.3.5.1 Partnerships, Collaborations, and Agreements:
- 11.3.5.2 Product Launches and Product Expansions:
- 11.3.6 SWOT Analysis
- 11.4 Salesforce, Inc.
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Regional Analysis
- 11.4.4 Research & Development Expenses
- 11.4.5 Recent strategies and developments:
- 11.4.5.1 Partnerships, Collaborations, and Agreements:
- 11.4.6 SWOT Analysis
- 11.5 SAS Institute, Inc.
- 11.5.1 Company Overview
- 11.5.2 Recent strategies and developments:
- 11.5.2.1 Partnerships, Collaborations, and Agreements:
- 11.5.3 SWOT Analysis
- 11.6 Microsoft Corporation
- 11.6.1 Company Overview
- 11.6.2 Financial Analysis
- 11.6.3 Segmental and Regional Analysis
- 11.6.4 Research & Development Expenses
- 11.6.5 Recent strategies and developments:
- 11.6.5.1 Partnerships, Collaborations, and Agreements:
- 11.6.6 SWOT Analysis
- 11.7 PTC, Inc.
- 11.7.1 Company Overview
- 11.7.2 Financial Analysis
- 11.7.3 Regional Analysis
- 11.7.4 Research & Development Expenses
- 11.7.5 Recent strategies and developments:
- 11.7.5.1 Partnerships, Collaborations, and Agreements:
- 11.7.6 SWOT Analysis
- 11.8 SAP SE
- 11.8.1 Company Overview
- 11.8.2 Financial Analysis
- 11.8.3 Regional Analysis
- 11.8.4 Research & Development Expense
- 11.8.5 Recent strategies and developments:
- 11.8.5.1 Partnerships, Collaborations, and Agreements:
- 11.8.6 SWOT Analysis
- 11.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 11.9.1 Company Overview
- 11.9.2 Financial Analysis
- 11.9.3 Segmental Analysis
- 11.9.4 SWOT Analysis
- 11.10. GE Vernova Group
- 11.10.1 Company Overview
- 11.10.2 SWOT Analysis
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