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Europe Convolutional Neural Networks Market Size, Share & Trends Analysis Report By Deployment Mode, By Component, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031- Product Image
Europe Convolutional Neural Networks Market Size, Share & Trends Analysis Report By Deployment Mode, By Component, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031- Product Image
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Europe Convolutional Neural Networks Market Size, Share & Trends Analysis Report By Deployment Mode, By Component, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 171 Pages
  • October 2024
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025681
Description Jump to:
The Europe Convolutional Neural Networks Market is expected to 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 is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $8.83 billion 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 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 with text data, enabling applications like searching for based on descriptions, which can be used in e-commerce platforms. CNNs can be combined with recurrent neural networks to answer questions about, 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.

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.)

Market Report Segmentation

By Deployment Mode

  • On-Premise
  • Cloud

By Component

  • Hardware
  • Software
  • Services

By Application

  • Image & Video Recognition
  • Natural Language Processing (NLP)
  • Medical Image Analysis
  • Autonomous Vehicles
  • Robotics & Manufacturing
  • Other Application

By Vertical

  • Healthcare
  • Automotive
  • Retail & E-commerce
  • IT & Telecommunications
  • Manufacturing
  • Aerospace & Defense
  • Energy & Utilities
  • Other Vertical

By Country

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

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

Companies Mentioned

  • 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.)

Methodology

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