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.
Free Valuable Insights: The Global Quantum AI Market will Hit USD 2.1 Billion by 2031, at a CAGR of 35.1%
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.
By Deployment Mode
By Application
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