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)