North America Artificial Intelligence in Diagnostics Market Size, Share & Trends Analysis Report By Component (Software, Hardware, and Services), By Diagnosis, By Country and Growth Forecast, 2024 - 2031

The North America Artificial Intelligence in Diagnostics Market would witness market growth of 20.7% CAGR during the forecast period (2024-2031).

The US market dominated the North America Artificial Intelligence in Diagnostics Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $1,902.4 million by 2031. The Canada market is experiencing a CAGR of 23.1% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 22.2% during (2024 - 2031).

AI-based dermatology applications use deep learning algorithms to analyze skin images to detect skin diseases, including melanoma, eczema, and psoriasis. Mobile apps powered by AI allow users to perform preliminary skin assessments, improving early diagnosis and treatment accessibility. AI enhances eye disease diagnosis by analyzing retinal scans to detect conditions such as diabetic retinopathy, glaucoma, and macular degeneration. AI-driven eye screening tools provide quick and accurate results, improving early detection and intervention.

Additionally, multiple factors are driving the adoption of AI in diagnostics. The rapid development of deep learning, computer vision, and natural language processing (NLP) has significantly improved the accuracy and efficiency of AI-driven diagnostic tools. AI automates image analysis and decision-making processes by addressing the global shortage of skilled radiologists, pathologists, and other diagnostic specialists.

In Canada, the government’s $196.1 billion investment over ten years, including $46.2 billion in new funding for provinces and territories, will significantly enhance healthcare infrastructure, digital health initiatives, and AI-driven diagnostics. This investment will promote early disease detection, predictive analytics, and AI-powered imaging solutions, improving patient outcomes and reducing diagnostic delays. Additionally, the $2.5 billion allocation for Indigenous healthcare will expand AI-based telemedicine and remote diagnostics, ensuring equitable access to advanced healthcare technologies across underserved communities.

Based on Component, the market is segmented into Software, Hardware, and Services. Based on Diagnosis, the market is segmented into Neurology, Radiology, Chest & Lung, Oncology, Cardiology, Pathology, and Other Diagnosis. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

List of Key Companies Profiled

  • Siemens Healthineers AG (Siemens AG)
  • Zebra Technologies Corporation
  • GE HealthCare Technologies, Inc.
  • F. Hoffmann-La Roche Ltd.
  • Microsoft Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • DeepScribe Inc.
  • AliveCor, Inc.
  • Digital Diagnostics, Inc. (3Derm Systems, Inc.)
North America Artificial Intelligence in Diagnostics Market Report Segmentation

By Component
  • Software
  • Hardware
  • Services
By Diagnosis
  • Neurology
  • Radiology
  • Chest & Lung
  • Oncology
  • Cardiology
  • Pathology
  • Other Diagnosis
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 Artificial Intelligence in Diagnostics Market, by Component
1.4.2 North America Artificial Intelligence in Diagnostics Market, by Diagnosis
1.4.3 North America Artificial Intelligence in Diagnostics 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)
4.5 Porter Five Forces Analysis
Chapter 5. North America Artificial Intelligence in Diagnostics Market by Component
5.1 North America Software Market by Country
5.2 North America Hardware Market by Country
5.3 North America Services Market by Country
Chapter 6. North America Artificial Intelligence in Diagnostics Market by Diagnosis
6.1 North America Neurology Market by Country
6.2 North America Radiology Market by Country
6.3 North America Chest & Lung Market by Country
6.4 North America Oncology Market by Country
6.5 North America Cardiology Market by Country
6.6 North America Pathology Market by Country
6.7 North America Other Diagnosis Market by Country
Chapter 7. North America Artificial Intelligence in Diagnostics Market by Country
7.1 US Artificial Intelligence in Diagnostics Market
7.1.1 US Artificial Intelligence in Diagnostics Market by Component
7.1.2 US Artificial Intelligence in Diagnostics Market by Diagnosis
7.2 Canada Artificial Intelligence in Diagnostics Market
7.2.1 Canada Artificial Intelligence in Diagnostics Market by Component
7.2.2 Canada Artificial Intelligence in Diagnostics Market by Diagnosis
7.3 Mexico Artificial Intelligence in Diagnostics Market
7.3.1 Mexico Artificial Intelligence in Diagnostics Market by Component
7.3.2 Mexico Artificial Intelligence in Diagnostics Market by Diagnosis
7.4 Rest of North America Artificial Intelligence in Diagnostics Market
7.4.1 Rest of North America Artificial Intelligence in Diagnostics Market by Component
7.4.2 Rest of North America Artificial Intelligence in Diagnostics Market by Diagnosis
Chapter 8. Company Profiles
8.1 Siemens Healthineers AG (Siemens AG)
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Acquisition and Mergers:
8.1.6 SWOT Analysis
8.2 Zebra Technologies Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent strategies and developments:
8.2.5.1 Product Launches and Product Expansions:
8.2.6 SWOT Analysis
8.3 GE HealthCare Technologies, Inc.
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expenses
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.6 SWOT Analysis
8.4 F. Hoffmann-La Roche Ltd.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments:
8.4.5.1 Partnerships, Collaborations, and Agreements:
8.4.6 SWOT Analysis
8.5 Microsoft Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 Recent strategies and developments:
8.5.5.1 Partnerships, Collaborations, and Agreements:
8.5.5.2 Product Launches and Product Expansions:
8.5.6 SWOT Analysis
8.6 NVIDIA Corporation
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expenses
8.6.5 SWOT Analysis
8.7 IBM Corporation
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Regional & Segmental Analysis
8.7.4 Research & Development Expenses
8.7.5 Recent strategies and developments:
8.7.5.1 Partnerships, Collaborations, and Agreements:
8.7.6 SWOT Analysis
8.8 DeepScribe Inc.
8.8.1 Company Overview
8.8.2 Recent strategies and developments:
8.8.2.1 Partnerships, Collaborations, and Agreements:
8.9 AliveCor, Inc.
8.9.1 Company Overview
8.9.2 SWOT Analysis
8.10. Digital Diagnostics, Inc. (3Derm Systems, Inc.)
8.10.1 Company Overview

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