The Germany market dominated the Europe Artificial Intelligence (AI) Chipsets Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$17.49 billion by 2031. The UK market is exhibiting a CAGR of 27.8% during (2024 - 2031). Additionally, The France market would experience a CAGR of 30% during (2024 - 2031).
AI chipsets are used in healthcare for medical imaging analysis, disease diagnosis, and patient monitoring. These chipsets process medical imaging data such as X-rays, MRIs, and CT scans, assisting healthcare professionals in detecting abnormalities, identifying diseases, and providing personalized treatment plans. AI chipsets power predictive analytics applications across finance, retail, manufacturing, and telecommunications industries. These chipsets analyze historical data, identify patterns, and predict future outcomes, helping businesses optimize operations, forecast demand, and make data-driven decisions.
In robotics and automation, AI chipsets enable intelligent control systems, motion planning, and adaptive learning in robots and automated systems. These chipsets support applications such as industrial robots, warehouse automation, drones, and autonomous machines, enhancing efficiency and productivity in manufacturing and logistics operations. AI chipsets are employed in financial services for algorithmic trading, fraud detection, risk assessment, and customer service automation. These chipsets analyze large volumes of financial data and make real-time decisions to optimize trading strategies, detect fraudulent activities, and enhance customer experiences.
European businesses' growing adoption of AI technologies has increased the demand for AI chipsets to power AI-driven applications and services. According to Eurostat, in 2023, 8% of businesses in the EU with 10 or more employees used AI technologies to conduct their business. Its use was more common in large businesses (30%) than in SMEs (7%). The highest shares of enterprises with 10 or more employees using AI technologies were in Denmark (15.2%), Finland (15.1%) and Luxembourg (14.4%). Additionally, the growing investments in AI adoption by businesses in Europe have fueled the development and deployment of diverse AI applications. As per the European Parliamentary Research Service, between 2018 and the third quarter of 2023, almost €32.5 billion was invested in EU AI companies. Therefore, rising investment in AI technology and increasing adoption of AI by businesses in the region is propelling the market's growth.
Based on Computing Technology, the market is segmented into Cloud Computing and Edge Computing. Based on Function, the market is segmented into Inference and Training. Based on Chipset Type, the market is segmented into GPU, CPU, FPGA, ASIC, and Others. Based on Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Manufacturing, Retail & E-Commerce, BFSI, Marketing, 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
- Intel Corporation
- NVIDIA Corporation
- IBM Corporation
- Micron Technology, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Samsung Electronics Co., Ltd. (Samsung Group)
- Apple, Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Texas Instruments, Inc.
- NXP Semiconductors N.V.
Market Report Segmentation
By Computing Technology- Cloud Computing
- Edge Computing
- Inference
- Training
- GPU
- CPU
- FPGA
- ASIC
- Others
- Consumer Electronics
- Automotive
- Healthcare
- Manufacturing
- Retail & E-Commerce
- BFSI
- Marketing
- Others
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
Companies Mentioned
- Intel Corporation
- NVIDIA Corporation
- IBM Corporation
- Micron Technology, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Samsung Electronics Co., Ltd. (Samsung Group)
- Apple, Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Texas Instruments, Inc.
- NXP Semiconductors N.V.
Methodology
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