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North America Artificial Intelligence In Healthcare Market Size, Share, And Trends Analysis Report By Component (Software Solutions, Hardware, Services), By Application, By End-use, By Technology, By Country, And Segment Forecasts, 2025 - 2033

North America Artificial Intelligence In Healthcare Market Size, Share, And Trends Analysis Report By Component (Software Solutions, Hardware, Services), By Application, By End-use, By Technology, By Country, And Segment Forecasts, 2025 - 2033


North America AI In Healthcare Market Summary The North America artificial intelligence in healthcare market size was estimated at USD 14.66 billion in 2024 and is projected to reach USD 250.81... もっと見る

 

 

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Summary

North America AI In Healthcare Market Summary

The North America artificial intelligence in healthcare market size was estimated at USD 14.66 billion in 2024 and is projected to reach USD 250.81 billion by 2033, growing at a CAGR of 37.17% from 2025 to 2033. Rapid expansion of digital health infrastructure, growing adoption of telemedicine and remote care, and increasing government investments, coupled with national artificial intelligence (AI) strategies, are factors contributing to market growth.

Robust healthcare infrastructure and substantial R&D investments by key players catalyze market growth in North America. The presence of industry leaders such as IBM, GE Healthcare, Microsoft, and Siemens Healthineers AG, among others, ensures continued innovation in AI platforms, software, and solutions. For instance, in August 2025, Philips announced plans to invest over USD 150 million in U.S. manufacturing and R&D, expanding its Pennsylvania facility that produces AI-enabled ultrasound systems and its Image Guided Therapy facility in Plymouth, Minnesota.

Moreover, the rising prevalence of chronic diseases, a growing geriatric population, and increasing healthcare costs push healthcare systems to AI for scalable solutions. AI enables predictive analytics to forecast disease progression, optimize treatment plans, and reduce unnecessary hospitalizations. Value-based care models supported by AI improve care quality and cost-effectiveness, providing measurable benefits to payers, providers, and patients.

Furthermore, increasing strategic initiatives such as new product launches, partnerships, collaborations, and mergers and acquisitions, leading to scalable AI solutions in imaging, chronic disease management, and clinical decision support, are expected to propel the market further. These partnerships ensure continuous innovation through shared expertise, resources, and validation frameworks. For instance, in June 2025, Cohere, a Canadian AI firm, in partnership with the U.S.-based Ensemble Health Partners, launched its AI healthcare agents to automate administrative tasks like appealing insurance claim denials, improving revenue cycle management (RCM), and patient experience. In addition, the proliferation of AI startups and digital health platforms fosters ecosystem growth and diverse innovation. Thus, such a collaborative ecosystem remains a strong driver of AI deployment across diverse healthcare applications in the region.

North America Artificial Intelligence In Healthcare Market Report Segmentation

This report forecasts revenue growth at the regional and country-levels and provides an analysis of industry trends in each of the sub segments from 2021 to 2033. For this study, Grand View Research, Inc. has segmented the North America Artificial Intelligence (AI) in healthcare market report based on component, application, technology, end-use, and country:

• Component Outlook (Revenue, USD Million, 2021 - 2033)
• Hardware
o Processor
o MPU (memory protection unit)
o FPGA (Field-programmable gate array)
o GPU (Graphics processing unit)
o ASIC (Application-specific integrated circuit)
o Memory
o Network
o Adapter
o Interconnect
o Switch
• Software Solutions
o AI Platform
o Application Program Interface (API)
o Machine Learning Framework
o AI Solutions
o On premise
o Cloud based
• Services
o Deployment & Integration
o Support & Maintenance
o Others (Consulting, Compliance management)
• Application Outlook (Revenue, USD Million, 2021 - 2033)
• Robot Assisted Surgery
• Virtual Assistants
• Administrative Workflow Assistants
• Connected Medical devices
• Medical Imaging & Diagnostics
• Clinical Trials
• Fraud Detection
• Cybersecurity
• Dosage Error Reduction
• Precision medicine
• Drug discovery & development
• Lifestyle management & remote patient monitoring
• Wearables
• Others (Patient engagement)
• Technology Outlook (Revenue, USD Million, 2021 - 2033)
• Machine Learning
o Deep learning
o Supervised
o Unsupervised
o Others (Reinforcement learning, Semi supervised)
• Natural Language Processing
o Smart Assistance
o OCR (Optical Character Recognition)
o Auto Coding
o Text analytics
o Speech analytics
o Classification and categorization
• Context-Aware Computing
• Computer Vision
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Hospitals & Healthcare providers
• Healthcare payers
• Pharmaceutical & Biotechnology Companies
• Patients
• Others
• Country Outlook (Revenue, USD Million, 2021 - 2033)
• North America
o U.S.
o Canada
o Mexico

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Table of Contents

Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Segment Definitions
1.2.1. Component Segment
1.2.2. Application Segment
1.2.3. Technology Segment
1.2.4. End Use Segment
1.3. Research Methodology
1.4. Information Procurement
1.4.1. Purchased database
1.4.2. GVR’s internal database
1.4.3. Secondary sources
1.4.4. Primary research
1.4.5. Details of primary research
1.5. Information or Data Analysis
1.5.1. Data analysis models
1.6. Market Formulation & Data Validation
1.7. Model Details
1.7.1. Commodity flow analysis (Model 1)
1.7.2. Approach 1: Commodity flow approach
1.7.3. Volume price analysis (Model 2)
1.7.4. Approach 2: Volume price analysis
1.8. List of Secondary Sources
1.9. List of Primary Sources
1.10. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. North America Artificial Intelligence (AI) in Healthcare Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.2. Market restraint analysis
3.2.3. Market opportunity analysis
3.2.4. Market challenges analysis
3.3. AI in Healthcare Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Supplier power
3.3.1.2. Buyer power
3.3.1.3. Substitution threat
3.3.1.4. Threat of new entrant
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Technological landscape
3.3.2.3. Economic landscape
3.3.2.4. Environmental Landscape
3.3.2.5. Legal Landscape
3.3.2.6. Social Landscape
Chapter 4. North America Artificial Intelligence (AI) in Healthcare Market: Component Estimates & Trend Analysis
4.1. North America AI in Healthcare Market: Component Movement Analysis
4.2. North America AI in Healthcare Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
4.2.1. Software Solutions
4.2.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.1.1.1. AI platform
4.2.1.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.1.1.1.2. Application Program Interface (API)
4.2.1.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.1.1.1.3. Machine Learning Framework
4.2.1.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.1.1.2. AI Solutions
4.2.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.1.1.2.2. On premise
4.2.1.1.2.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.1.1.2.3. Cloud based
4.2.1.1.2.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2. Hardware
4.2.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.1. Processor
4.2.2.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.1.2. MPU (memory protection unit)
4.2.2.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.1.3. FPGA (Field-programmable gate array)
4.2.2.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.1.4. GPU (Graphics processing unit)
4.2.2.1.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.1.5. ASIC (Application-specific integrated circuit)
4.2.2.1.1.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.2. Memory
4.2.2.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.3. Network
4.2.2.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.3.2. Adapter
4.2.2.1.3.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.3.3. Interconnect
4.2.2.1.3.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.2.1.3.4. Switch
4.2.2.1.3.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.3. Services
4.2.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.3.1.1. Deployment & Integration
4.2.3.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.3.1.2. Support & Maintenance
4.2.3.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
4.2.3.1.3. Others (Consulting, Compliance management)
4.2.3.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 5. North America Artificial Intelligence (AI) in Healthcare Market: Application Estimates & Trend Analysis
5.1. North America AI in Healthcare Market: Application Movement Analysis
5.2. North America AI in Healthcare Market Size & Trend Analyses, by Application, 2021 to 2033 (USD Million)
5.2.1. Robot Assisted Surgery
5.2.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.2. Virtual Assistants
5.2.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.3. Administrative Workflow Assistants
5.2.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.4. Connected Medical Devices
5.2.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.5. Medical Imagining & Diagnosis
5.2.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.6. Clinical Trials
5.2.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.7. Fraud Detection
5.2.7.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.8. Cybersecurity
5.2.8.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.9. Dosage Error Reduction
5.2.9.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.10. Precision medicine
5.2.10.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.11. Drug discovery & development
5.2.11.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.12. Lifestyle management & remote patient monitoring
5.2.12.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.13. Wearables
5.2.13.1. Market estimates and forecast 2021 to 2033 (USD Million)
5.2.14. Others
5.2.14.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 6. North America Artificial Intelligence (AI) in Healthcare Market: Technology Estimates & Trend Analysis
6.1. North America AI in Healthcare Market: Technology Movement Analysis
6.2. North America AI in Healthcare Market Size & Trend Analyses, by Technology, 2021 to 2033 (USD Million)
6.2.1. Machine Learning
6.2.1.1. Market estimates and forecast 2021 to 2033 (USD million)
6.2.1.1.1. Deep learning
6.2.1.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.1.1.2. Supervised
6.2.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.1.1.3. Unsupervised
6.2.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.1.1.4. Others (Reinforcement learning, Semi supervised)
6.2.1.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.2. NLP
6.2.2.1. Market estimates and forecast 2021 to 2033 (USD million)
6.2.2.1.1. Smart Assistance
6.2.2.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.2.1.2. OCR (Optical Character Recognition)
6.2.2.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.2.1.3. Auto Coding
6.2.2.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.2.1.4. Text analytics
6.2.2.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.2.1.5. Speech analytics
6.2.2.1.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.2.1.6. Classification and categorization
6.2.2.1.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
6.2.3. Computer Vision
6.2.3.1. Market estimates and forecast 2021 to 2033 (USD million)
6.2.4. Context-aware computing
6.2.4.1. Market estimates and forecast 2021 to 2033 (USD million)
Chapter 7. North America Artificial Intelligence (AI) in Healthcare Market: End Use Estimates & Trend Analysis
7.1. North America AI in Healthcare Market: End Use Movement Analysis
7.2. North America AI in Healthcare Market Size & Trend Analyses, By End Use, 2021 to 2033 (USD Million)
7.2.1. Hospitals & Healthcare providers
7.2.1.1. Market estimates and forecast 2021 to 2033 (USD million)
7.2.2. Healthcare payers
7.2.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
7.2.3. Pharmaceutical & Biotechnology Companies
7.2.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
7.2.4. Patients
7.2.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
7.2.5. Others
7.2.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 8. North America Artificial Intelligence (AI) in Healthcare Market: Country Estimates & Trend Analysis by Component, Applications, Technology & End Use
8.1. North America Regional Market Snapshot
8.2. Market Size & Forecasts Trend Analysis, 2021 to 2033
8.3. North America
8.3.1. Market estimates and forecasts 2021 to 2033 (USD Million)
8.3.2. U.S.
8.3.2.1. U.S. market estimates and forecast, 2021-2033 (USD Million)
8.3.3. Canada
8.3.3.1. Canada market estimates and forecast, 2021-2033 (USD Million)
8.3.4. Mexico
8.3.4.1. Canada market estimates and forecast, 2021-2033 (USD Million)
Chapter 9. Competitive Landscape
9.1. Recent Developments & Impact Analysis, By Key Market Participants
9.2. Company/Competition Categorization
9.3. Competitive Landscape
9.3.1. Microsoft
9.3.1.1. Company overview
9.3.1.2. Financial performance
9.3.1.3. Product benchmarking
9.3.1.4. Strategic initiatives
9.3.2. IBM
9.3.2.1. Company overview
9.3.2.2. Financial performance
9.3.2.3. Product benchmarking
9.3.2.4. Strategic initiatives
9.3.3. NVIDIA Corporation
9.3.3.1. Company overview
9.3.3.2. Financial performance
9.3.3.3. Product benchmarking
9.3.3.4. Strategic initiatives
9.3.4. Intel Corporation
9.3.4.1. Company overview
9.3.4.2. Financial performance
9.3.4.3. Product benchmarking
9.3.4.4. Strategic initiatives
9.3.5. GE Healthcare
9.3.5.1. Company overview
9.3.5.2. Financial performance
9.3.5.3. Product benchmarking
9.3.5.4. Strategic initiatives
9.3.6. Medtronic
9.3.6.1. Company overview
9.3.6.2. Financial performance
9.3.6.3. Product benchmarking
9.3.6.4. Strategic initiatives
9.3.7. Oracle
9.3.7.1. Company overview
9.3.7.2. Financial performance
9.3.7.3. Product benchmarking
9.3.7.4. Strategic initiatives
9.3.8. Google
9.3.8.1. Company overview
9.3.8.2. Financial performance
9.3.8.3. Product benchmarking
9.3.8.4. Strategic initiatives
9.3.9. IQVIA
9.3.9.1. Company overview
9.3.9.2. Financial performance
9.3.9.3. Product benchmarking
9.3.9.4. Strategic initiatives
9.3.10. Siemens Healthineers AG
9.3.10.1. Company overview
9.3.10.2. Financial performance
9.3.10.3. Product benchmarking
9.3.10.4. Strategic initiatives
9.3.11. Koninklijke Philips N.V.
9.3.11.1. Company overview
9.3.11.2. Financial performance
9.3.11.3. Product benchmarking
9.3.11.4. Strategic initiatives
9.3.12. Tempus AI
9.3.12.1. Company overview
9.3.12.2. Financial performance
9.3.12.3. Product benchmarking
9.3.12.4. Strategic initiatives

 

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