North America Deep Learning Market Size, Share & Trends Analysis Report By Solution, Software, By Application, By End-use, By Country and Growth Forecast, 2024 - 2031

North America Deep Learning Market Size, Share & Trends Analysis Report By Solution, Software, By Application, By End-use, By Country and Growth Forecast, 2024 - 2031


The North America Deep Learning Market would witness market growth of 33.6% CAGR during the forecast period (2024-2031).

The US market dominated the North America Deep Learning Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $178,272.5 million by 2031. The Canada market is experiencing a CAGR of 36.3% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 35.3% during (2024 - 2031).

The adoption of deep learning technologies has been accelerating across industries and is driven by several key trends. Organizations leverage edge computing to run deep learning algorithms closer to data sources, enabling real-time decision-making.

Moreover, this is especially pertinent in industries such as manufacturing, where machines can rapidly analyze data to facilitate predictive maintenance. The rise of IoT devices equipped with deep learning capabilities transforms various applications, from smart home automation to industrial IoT solutions, enhancing user experiences through intelligent insights.

The increasing budget in the Canadian aerospace sector is significantly influencing the growth of the deep learning market in Canada. The Government of Canada has allocated a budget of $250 million for the coming years. This initiative is administered by Canada’s regional development agencies (RDAs) and aims to provide robust support for the aerospace industry, especially due to the challenges posed by the COVID-19 pandemic.

Based on Solution, the market is segmented into Software, Hardware (Graphics Processing Unit (GPU), Central Processing Unit (CPU), Field Programmable Gate Array (FPGA), and Application-Specific Integration Circuit (ASIC)), and Services (Integration Services, Installation Services, and Maintenance & Support Services). Based on Application, the market is segmented into Image recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining. Based on End-use, the market is segmented into Aerospace & Defense, Healthcare, Automotive, Retail, and Other End-use. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

List of Key Companies Profiled
  • Advanced Micro Devices, Inc.
  • Arm Limited (SoftBank Group Corp.)
  • NVIDIA Corporation
  • Clarifai, Inc.
  • Google LLC
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Samsung Electronics Co., Ltd. (Samsung Group)
North America Deep Learning Market Report Segmentation

By Solution
  • Software
  • Hardware
  • Graphics Processing Unit (GPU)
  • Central Processing Unit (CPU)
  • Field Programmable Gate Array (FPGA)
  • Application-Specific Integration Circuit (ASIC)
  • Services
  • Integration Services
  • Installation Services
  • Maintenance & Support Services
By Application
  • Image recognition
  • Voice Recognition
  • Video Surveillance & Diagnostics
  • Data Mining
By End-use
  • Aerospace & Defense
  • Healthcare
  • Automotive
  • Retail
  • Other End-use
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America


Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Deep Learning Market, by Solution
1.4.2 North America Deep Learning Market, by Application
1.4.3 North America Deep Learning Market, by End-use
1.4.4 North America Deep Learning 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: (Partnerships, Collaborations & Agreements: 2021, Apr – 2024, Sep) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. North America Deep Learning Market by Solution
5.1 North America Software Market by Country
5.2 North America Hardware Market by Country
5.3 North America Deep Learning Market by Hardware Type
5.3.1 North America Graphics Processing Unit (GPU) Market by Country
5.3.2 North America Central Processing Unit (CPU) Market by Country
5.3.3 North America Field Programmable Gate Array (FPGA) Market by Country
5.3.4 North America Application-Specific Integration Circuit (ASIC) Market by Country
5.4 North America Services Market by Country
5.5 North America Deep Learning Market by Services Type
5.5.1 North America Integration Services Market by Country
5.5.2 North America Installation Services Market by Country
5.5.3 North America Maintenance & Support Services Market by Country
Chapter 6. North America Deep Learning Market by Application
6.1 North America Image recognition Market by Country
6.2 North America Voice Recognition Market by Country
6.3 North America Video Surveillance & Diagnostics Market by Country
6.4 North America Data Mining Market by Country
Chapter 7. North America Deep Learning Market by End-use
7.1 North America Aerospace & Defense Market by Country
7.2 North America Healthcare Market by Country
7.3 North America Automotive Market by Country
7.4 North America Retail Market by Country
7.5 North America Other End-use Market by Country
Chapter 8. North America Deep Learning Market by Country
8.1 US Deep Learning Market
8.1.1 US Deep Learning Market by Solution
8.1.1.1 US Deep Learning Market by Hardware Type
8.1.1.2 US Deep Learning Market by Services Type
8.1.2 US Deep Learning Market by Application
8.1.3 US Deep Learning Market by End-use
8.2 Canada Deep Learning Market
8.2.1 Canada Deep Learning Market by Solution
8.2.1.1 Canada Deep Learning Market by Hardware Type
8.2.1.2 Canada Deep Learning Market by Services Type
8.2.2 Canada Deep Learning Market by Application
8.2.3 Canada Deep Learning Market by End-use
8.3 Mexico Deep Learning Market
8.3.1 Mexico Deep Learning Market by Solution
8.3.1.1 Mexico Deep Learning Market by Hardware Type
8.3.1.2 Mexico Deep Learning Market by Services Type
8.3.2 Mexico Deep Learning Market by Application
8.3.3 Mexico Deep Learning Market by End-use
8.4 Rest of North America Deep Learning Market
8.4.1 Rest of North America Deep Learning Market by Solution
8.4.1.1 Rest of North America Deep Learning Market by Hardware Type
8.4.1.2 Rest of North America Deep Learning Market by Services Type
8.4.2 Rest of North America Deep Learning Market by Application
8.4.3 Rest of North America Deep Learning Market by End-use
Chapter 9. Company Profiles
9.1 Advanced Micro Devices, Inc.
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.5.3 Acquisition and Mergers:
9.1.6 SWOT Analysis
9.2 Arm Limited (SoftBank Group Corp.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Recent strategies and developments:
9.2.3.1 Partnerships, Collaborations, and Agreements:
9.2.3.2 Product Launches and Product Expansions:
9.2.4 SWOT Analysis
9.3 NVIDIA Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.5.2 Product Launches and Product Expansions:
9.3.5.3 Acquisition and Mergers:
9.3.6 SWOT Analysis
9.4 Clarifai, Inc.
9.4.1 Company Overview
9.4.2 Recent strategies and developments:
9.4.2.1 Partnerships, Collaborations, and Agreements:
9.4.2.2 Product Launches and Product Expansions:
9.4.3 SWOT Analysis
9.5 Google LLC
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 IBM Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional & Segmental Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.6.5.2 Acquisition and Mergers:
9.6.6 SWOT Analysis
9.7 Intel Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent strategies and developments:
9.7.5.1 Product Launches and Product Expansions:
9.7.5.2 Acquisition and Mergers:
9.7.6 SWOT Analysis
9.8 Microsoft Corporation
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expenses
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations, and Agreements:
9.8.6 SWOT Analysis
9.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental Analysis
9.9.4 Recent strategies and developments:
9.9.4.1 Partnerships, Collaborations, and Agreements:
9.9.4.2 Product Launches and Product Expansions:
9.9.5 SWOT Analysis
9.10. Samsung Electronics Co., Ltd. (Samsung Group)
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 Recent strategies and developments:
9.10.5.1 Product Launches and Product Expansions:
9.10.6 SWOT Analysis

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