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North America 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

Publisher Knowledge Based Value (KBV) Research
Published Oct 29, 2024
Length 151 Pages
SKU # KBV19301115

Description

North America 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 North America Convolutional Neural Networks Market would witness market growth of 39.5% CAGR during the forecast period (2024-2031).

The US market dominated the North America Convolutional Neural Networks Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $32,875.8 million by 2031. The Canada market is experiencing a CAGR of 42.3% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 41.3% during (2024 - 2031).

This market refers to the industry surrounding the development, deployment, and application of these networks, which are a class of deep learning algorithms specifically designed to process structured grid data such as images and video. CNNs are particularly powerful for tasks like image recognition, object detection, and image segmentation, making them essential in various sectors, including healthcare, automotive, finance, and entertainment.

CNNs have become a cornerstone in several domains, with applications across industries. Some of the most significant applications include. CNNs are used to analyze facial expressions, helping in applications like sentiment analysis in customer service or enhancing user interactions on social media platforms. Beyond object detection, CNNs can analyze the context of scenes, helping autonomous navigation systems understand complex environments, such as urban landscapes.

The rise of autonomous vehicles (AVs) in the United States is significantly influencing the growth of this market. According to the National Association of Insurance Commissioners, the Insurance Institute for Highway Safety projects that there will be approximately 3.5 million self-driving vehicles on U.S. roads by 2025 and 4.5 million by 2030. This rapid proliferation of AVs necessitates the integration of advanced technologies, particularly artificial intelligence (AI), to ensure safe and efficient operations, with CNNs playing a crucial role in this transformation. Canada's aerospace sector's growth significantly impacts this market. As the government actively supports this sector through initiatives like the Aerospace Regional Recovery Initiative (ARRI), which allocates $250 million over three years, there is an increasing demand for advanced technologies, including artificial intelligence (AI) and machine learning. CNNs, a specialized form of AI, are particularly suited for tasks like image and signal processing, critical in aerospace applications such as aircraft design, maintenance, and operational efficiency. In conclusion, the projected rise of autonomous vehicles in the U.S. and the government’s commitment to supporting the aerospace sector are set to create a robust demand for convolutional neural networks.

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 U.S., Mexico, Canada, and Rest of North America.

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.)
North America Convolutional Neural Networks 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
  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

151 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Convolutional Neural Networks Market, by Deployment Mode
1.4.2 North America Convolutional Neural Networks Market, by Component
1.4.3 North America Convolutional Neural Networks Market, by Application
1.4.4 North America Convolutional Neural Networks Market, by Vertical
1.4.5 North America 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. North America Convolutional Neural Networks Market by Deployment Mode
5.1 North America On-Premise Market by Region
5.2 North America Cloud Market by Region
Chapter 6. North America Convolutional Neural Networks Market by Component
6.1 North America Hardware Market by Country
6.2 North America Software Market by Country
6.3 North America Services Market by Country
Chapter 7. North America Convolutional Neural Networks Market by Application
7.1 North America Image & Video Recognition Market by Country
7.2 North America Natural Language Processing (NLP) Market by Country
7.3 North America Medical Image Analysis Market by Country
7.4 North America Autonomous Vehicles Market by Country
7.5 North America Robotics & Manufacturing Market by Country
7.6 North America Other Application Market by Country
Chapter 8. North America Convolutional Neural Networks Market by Vertical
8.1 North America Healthcare Market by Country
8.2 North America Automotive Market by Country
8.3 North America Retail & E-commerce Market by Country
8.4 North America IT & Telecommunications Market by Country
8.5 North America Manufacturing Market by Country
8.6 North America Aerospace & Defense Market by Country
8.7 North America Energy & Utilities Market by Country
8.8 North America Other Vertical Market by Country
Chapter 9. North America Convolutional Neural Networks Market by Country
9.1 US Convolutional Neural Networks Market
9.1.1 US Convolutional Neural Networks Market by Deployment Mode
9.1.2 US Convolutional Neural Networks Market by Component
9.1.3 US Convolutional Neural Networks Market by Application
9.1.4 US Convolutional Neural Networks Market by Vertical
9.2 Canada Convolutional Neural Networks Market
9.2.1 Canada Convolutional Neural Networks Market by Deployment Mode
9.2.2 Canada Convolutional Neural Networks Market by Component
9.2.3 Canada Convolutional Neural Networks Market by Application
9.2.4 Canada Convolutional Neural Networks Market by Vertical
9.3 Mexico Convolutional Neural Networks Market
9.3.1 Mexico Convolutional Neural Networks Market by Deployment Mode
9.3.2 Mexico Convolutional Neural Networks Market by Component
9.3.3 Mexico Convolutional Neural Networks Market by Application
9.3.4 Mexico Convolutional Neural Networks Market by Vertical
9.4 Rest of North America Convolutional Neural Networks Market
9.4.1 Rest of North America Convolutional Neural Networks Market by Deployment Mode
9.4.2 Rest of North America Convolutional Neural Networks Market by Component
9.4.3 Rest of North America Convolutional Neural Networks Market by Application
9.4.4 Rest of North America 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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