Europe Convolutional Neural Networks Market Size, Share & Trends Analysis Report By Deployment Mode (On-Premise and Cloud), By Component (Hardware, Software, and Services), By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031
The Europe Convolutional Neural Networks Market would witness market growth of 39.8% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe Convolutional Neural Networks Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $8,837.2 million by 2031. The UK market is exhibiting a CAGR of 38.6% during (2024 - 2031). Additionally, The France market would experience a CAGR of 40.9% during (2024 - 2031).
CNNs can track changes in medical images over time, enabling doctors to assess the progression of diseases like cancer or chronic conditions through longitudinal studies. In histopathology, CNNs assist in analyzing tissue samples, helping pathologists identify cancerous cells and automate the tedious diagnosis process. CNNs process input from cameras and LiDAR systems to identify obstacles in real-time, enhancing the safety and efficiency of autonomous driving. CNNs can detect and interpret traffic signals, ensuring autonomous vehicles respond appropriately to changing traffic conditions.
Also, CNNs can analyze images with text data, enabling applications like searching for images based on descriptions, which can be used in e-commerce platforms. CNNs can be combined with recurrent neural networks to answer questions about images, enhancing AI capabilities in interactive applications and educational tools. CNNs analyze game footage to track player movements, assess performance metrics, and provide insights for coaching strategies in professional sports. CNNs can analyze crowd dynamics in surveillance footage to identify unusual patterns, which can be useful in public safety and event management.
The ongoing digitization of the manufacturing sector in Europe fosters collaboration between traditional manufacturers and technology providers. This ecosystem encourages developing and implementing tailored CNN solutions that cater to specific industry needs, such as automotive, aerospace, and consumer goods. Partnerships between tech startups specializing in AI and established manufacturers are increasingly common as both parties recognize the transformative potential of integrating CNNs into existing manufacturing frameworks. This collaboration accelerates innovation and promotes the creation of smart factories equipped with advanced AI technologies, further driving the demand for CNNs. Thus, the remarkable rise of smart manufacturing in Europe, driven by sustainability, digitization, strategic initiatives, and workforce evolution, creates a fertile ground for expanding the convolutional neural networks market.
Based on Deployment Mode, the market is segmented into On-Premise and Cloud. Based on Component, the market is segmented into Hardware, Software, and Services. Based on Application, the market is segmented into Image & Video Recognition, Natural Language Processing (NLP), Medical Image Analysis, Autonomous Vehicles, Robotics & Manufacturing, and Other Application. Based on Vertical, the market is segmented into Healthcare, Automotive, Retail & E-commerce, IT & Telecommunications, Manufacturing, Aerospace & Defense, Energy & Utilities, and Other Vertical. 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
- Google LLC
- Microsoft Corporation
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- OpenAI, LLC
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- H2O.ai, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
By Deployment Mode
- On-Premise
- Cloud
- Hardware
- Software
- Services
- Image & Video Recognition
- Natural Language Processing (NLP)
- Medical Image Analysis
- Autonomous Vehicles
- Robotics & Manufacturing
- Other Application
- Healthcare
- Automotive
- Retail & E-commerce
- IT & Telecommunications
- Manufacturing
- Aerospace & Defense
- Energy & Utilities
- Other Vertical
- 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 Convolutional Neural Networks Market, by Deployment Mode
- 1.4.2 Europe Convolutional Neural Networks Market, by Component
- 1.4.3 Europe Convolutional Neural Networks Market, by Application
- 1.4.4 Europe Convolutional Neural Networks Market, by Vertical
- 1.4.5 Europe Convolutional Neural Networks 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 (2020-2024)
- 4.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2020, Aug – 2024, Sep) Leading Players
- 4.5 Porter Five Forces Analysis
- Chapter 5. Europe Convolutional Neural Networks Market by Deployment Mode
- 5.1 Europe On-Premise Market by Country
- 5.2 Europe Cloud Market by Country
- Chapter 6. Europe Convolutional Neural Networks 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 Convolutional Neural Networks Market by Application
- 7.1 Europe Image & Video Recognition Market by Country
- 7.2 Europe Natural Language Processing (NLP) Market by Country
- 7.3 Europe Medical Image Analysis Market by Country
- 7.4 Europe Autonomous Vehicles Market by Country
- 7.5 Europe Robotics & Manufacturing Market by Country
- 7.6 Europe Other Application Market by Country
- Chapter 8. Europe Convolutional Neural Networks Market by Vertical
- 8.1 Europe Healthcare Market by Country
- 8.2 Europe Automotive Market by Country
- 8.3 Europe Retail & E-commerce Market by Country
- 8.4 Europe IT & Telecommunications Market by Country
- 8.5 Europe Manufacturing Market by Country
- 8.6 Europe Aerospace & Defense Market by Country
- 8.7 Europe Energy & Utilities Market by Country
- 8.8 Europe Other Vertical Market by Country
- Chapter 9. Europe Convolutional Neural Networks Market by Country
- 9.1 Germany Convolutional Neural Networks Market
- 9.1.1 Germany Convolutional Neural Networks Market by Deployment Mode
- 9.1.2 Germany Convolutional Neural Networks Market by Component
- 9.1.3 Germany Convolutional Neural Networks Market by Application
- 9.1.4 Germany Convolutional Neural Networks Market by Vertical
- 9.2 UK Convolutional Neural Networks Market
- 9.2.1 UK Convolutional Neural Networks Market by Deployment Mode
- 9.2.2 UK Convolutional Neural Networks Market by Component
- 9.2.3 UK Convolutional Neural Networks Market by Application
- 9.2.4 UK Convolutional Neural Networks Market by Vertical
- 9.3 France Convolutional Neural Networks Market
- 9.3.1 France Convolutional Neural Networks Market by Deployment Mode
- 9.3.2 France Convolutional Neural Networks Market by Component
- 9.3.3 France Convolutional Neural Networks Market by Application
- 9.3.4 France Convolutional Neural Networks Market by Vertical
- 9.4 Russia Convolutional Neural Networks Market
- 9.4.1 Russia Convolutional Neural Networks Market by Deployment Mode
- 9.4.2 Russia Convolutional Neural Networks Market by Component
- 9.4.3 Russia Convolutional Neural Networks Market by Application
- 9.4.4 Russia Convolutional Neural Networks Market by Vertical
- 9.5 Spain Convolutional Neural Networks Market
- 9.5.1 Spain Convolutional Neural Networks Market by Deployment Mode
- 9.5.2 Spain Convolutional Neural Networks Market by Component
- 9.5.3 Spain Convolutional Neural Networks Market by Application
- 9.5.4 Spain Convolutional Neural Networks Market by Vertical
- 9.6 Italy Convolutional Neural Networks Market
- 9.6.1 Italy Convolutional Neural Networks Market by Deployment Mode
- 9.6.2 Italy Convolutional Neural Networks Market by Component
- 9.6.3 Italy Convolutional Neural Networks Market by Application
- 9.6.4 Italy Convolutional Neural Networks Market by Vertical
- 9.7 Rest of Europe Convolutional Neural Networks Market
- 9.7.1 Rest of Europe Convolutional Neural Networks Market by Deployment Mode
- 9.7.2 Rest of Europe Convolutional Neural Networks Market by Component
- 9.7.3 Rest of Europe Convolutional Neural Networks Market by Application
- 9.7.4 Rest of Europe Convolutional Neural Networks Market by Vertical
- 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 Product Launches and Product Expansions:
- 10.1.6 SWOT Analysis
- 10.2 Google LLC
- 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 Product Launches and Product Expansions:
- 10.2.6 SWOT Analysis
- 10.3 Microsoft Corporation
- 10.3.1 Company Overview
- 10.3.2 Financial Analysis
- 10.3.3 Segmental and Regional Analysis
- 10.3.4 Research & Development Expenses
- 10.3.5 Recent strategies and developments:
- 10.3.5.1 Product Launches and Product Expansions:
- 10.3.6 SWOT Analysis
- 10.4 IBM Corporation
- 10.4.1 Company Overview
- 10.4.2 Financial Analysis
- 10.4.3 Regional & Segmental Analysis
- 10.4.4 Research & Development Expenses
- 10.4.5 Recent strategies and developments:
- 10.4.5.1 Product Launches and Product Expansions:
- 10.4.6 SWOT Analysis
- 10.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 10.5.1 Company Overview
- 10.5.2 Financial Analysis
- 10.5.3 Segmental Analysis
- 10.5.4 Recent strategies and developments:
- 10.5.4.1 Partnerships, Collaborations, and Agreements:
- 10.5.4.2 Product Launches and Product Expansions:
- 10.5.5 SWOT Analysis
- 10.6 OpenAI, L.L.C.
- 10.6.1 Company Overview
- 10.6.2 Recent strategies and developments:
- 10.6.2.1 Product Launches and Product Expansions:
- 10.6.2.2 Acquisition and Mergers:
- 10.6.3 SWOT Analysis
- 10.7 Samsung Electronics Co., Ltd. (Samsung Group)
- 10.7.1 Company Overview
- 10.7.2 Financial Analysis
- 10.7.3 Segmental and Regional 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:
- 10.7.6 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 Product Launches and Product Expansions:
- 10.8.6 SWOT Analysis
- 10.9 H2O.ai, Inc.
- 10.9.1 Company Overview
- 10.9.2 Recent strategies and developments:
- 10.9.2.1 Partnerships, Collaborations, and Agreements:
- 10.9.2.2 Product Launches and Product Expansions:
- 10.10. Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- 10.10.1 Company Overview
- 10.10.2 Financial Analysis
- 10.10.3 Segmental and Regional Analysis
- 10.10.4 Research & Development Expense
- 10.10.5 Recent strategies and developments:
- 10.10.5.1 Product Launches and Product Expansions:
- 10.10.6 SWOT Analysis
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