Europe Quantum AI Market Size, Share & Trends Analysis Report By Deployment Mode (On-premises and Cloud based), By Application (Machine learning & Optimization), By Component (Hardware and Services), By Country and Growth Forecast, 2024 - 2031

Europe Quantum AI Market Size, Share & Trends Analysis Report By Deployment Mode (On-premises and Cloud based), By Application (Machine learning & Optimization), By Component (Hardware and Services), By Country and Growth Forecast, 2024 - 2031


The Europe Quantum AI Market would witness market growth of 34.6% CAGR during the forecast period (2024-2031).

The Germany market dominated the Europe Quantum AI Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $123.1 million by 2031. The UK market is exhibiting a CAGR of 33.5% during (2024 - 2031). Additionally, The France market would experience a CAGR of 35.7% during (2024 - 2031).

A subset of AI that concentrates on the development of algorithms that enable computers to learn from and make predictions based on data is machine learning, which is one of the most promising applications of this. Machine learning models, particularly deep learning models, require substantial computational resources to train and optimize. As the complexity of these models increases, so does the demand for processing power, often leading to bottlenecks in performance. This has the potential to resolve these obstacles by offering the computational power necessary to train more complex and expansive models in a fraction of the time required by classical systems.

Moreover, traditional machine learning tasks, including clustering, regression, and classification, have also been improved by quantum machine learning (QML). For instance, QML algorithms are capable of processing enormous datasets with numerous features and greater efficiency than classical algorithms, resulting in more precise and resilient models in classification tasks. Specifically, this is advantageous in sectors such as healthcare, where AI algorithms classify medical images or forecast disease outcomes by analyzing patient data. Quantum-enhanced classification models can improve diagnostic accuracy and help healthcare providers make more informed decisions. Similarly, QML algorithms can more accurately model complex relationships between variables in regression tasks, leading to better predictions and insights in economics, weather forecasting, and market analysis.

Government initiatives, strong research infrastructures, and strategic collaborations between academia and industry drive the demand for this across Europe. The German government's Quantum Computing Roadmap, part of the broader High-Tech Strategy 2025, outlines a vision for Germany to become a leader in quantum technologies, emphasizing this. The ‘Framework Programme Quantum Technologies – from the Fundamentals to the Market’ was adopted by the Cabinet in September 2018. The funding volume amounts to 860 million euros in the current legislative term. This funding supports various initiatives, including developing quantum processors and these applications for automotive, manufacturing, and logistics industries. Thus, the collaborative environment fostered by these initiatives ensures that Europe remains at the cutting edge of quantum AI research and application.

Based on Deployment Mode, the market is segmented into On-premises and Cloud based. Based on Application, the market is segmented into Machine learning & Optimization, Simulation and Modeling, and Cryptography & Security. Based on Component, the market is segmented into Hardware, Software, and Services. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

List of Key Companies Profiled
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • Google LLC
  • IBM Corporation
  • Fujitsu Limited
  • Intel Corporation
  • Toshiba Corporation
  • Rigetti Computing, Inc.
  • D-Wave Systems Inc.
  • Hitachi Digital Services, LLC (Hitachi Ltd.)
Europe Quantum AI Market Report Segmentation

By Deployment Mode
  • On-premises
  • Cloud based
By Application
  • Machine learning & Optimization
  • Simulation and Modeling
  • Cryptography & Security
By Component
  • Hardware
  • Software
  • Services
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe


Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Quantum AI Market, by Deployment Mode
1.4.2 Europe Quantum AI Market, by Application
1.4.3 Europe Quantum AI Market, by Component
1.4.4 Europe Quantum AI 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
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2021, Oct – 2024, Sep) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Europe Quantum AI Market by Deployment Mode
5.1 Europe On-premises Market by Country
5.2 Europe Cloud based Market by Country
Chapter 6. Europe Quantum AI Market by Application
6.1 Europe Machine learning & Optimization Market by Country
6.2 Europe Simulation and Modeling Market by Country
6.3 Europe Cryptography & Security Market by Country
Chapter 7. Europe Quantum AI Market by Component
7.1 Europe Hardware Market by Country
7.2 Europe Software Market by Country
7.3 Europe Services Market by Country
Chapter 8. Europe Quantum AI Market by Country
8.1 Germany Quantum AI Market
8.1.1 Germany Quantum AI Market by Deployment Mode
8.1.2 Germany Quantum AI Market by Application
8.1.3 Germany Quantum AI Market by Component
8.2 UK Quantum AI Market
8.2.1 UK Quantum AI Market by Deployment Mode
8.2.2 UK Quantum AI Market by Application
8.2.3 UK Quantum AI Market by Component
8.3 France Quantum AI Market
8.3.1 France Quantum AI Market by Deployment Mode
8.3.2 France Quantum AI Market by Application
8.3.3 France Quantum AI Market by Component
8.4 Russia Quantum AI Market
8.4.1 Russia Quantum AI Market by Deployment Mode
8.4.2 Russia Quantum AI Market by Application
8.4.3 Russia Quantum AI Market by Component
8.5 Spain Quantum AI Market
8.5.1 Spain Quantum AI Market by Deployment Mode
8.5.2 Spain Quantum AI Market by Application
8.5.3 Spain Quantum AI Market by Component
8.6 Italy Quantum AI Market
8.6.1 Italy Quantum AI Market by Deployment Mode
8.6.2 Italy Quantum AI Market by Application
8.6.3 Italy Quantum AI Market by Component
8.7 Rest of Europe Quantum AI Market
8.7.1 Rest of Europe Quantum AI Market by Deployment Mode
8.7.2 Rest of Europe Quantum AI Market by Application
8.7.3 Rest of Europe Quantum AI Market by Component
Chapter 9. Company Profiles
9.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental Analysis
9.1.4 Recent strategies and developments:
9.1.4.1 Partnerships, Collaborations, and Agreements:
9.1.4.2 Product Launches and Product Expansions:
9.1.5 SWOT Analysis
9.2 Microsoft Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.6 SWOT Analysis
9.3 Google LLC (Alphabet Inc.)
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expense
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.6 SWOT Analysis
9.4 IBM Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Regional & Segmental Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.6 SWOT Analysis
9.5 Fujitsu Limited
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 Intel Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.6.5.2 Product Launches and Product Expansions:
9.6.6 SWOT Analysis
9.7 Toshiba International Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research and Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.6 SWOT Analysis
9.8 Rigetti Computing, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Regional Analysis
9.8.4 Research & Development Expenses
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations, and Agreements:
9.8.5.2 Product Launches and Product Expansions:
9.9 D-Wave Systems Inc.
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.10. Hitachi Digital Services, LLC (Hitachi Ltd.)
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses

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