2026 Global: Artificial Intelligence (Ai) In Healthcare Market-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) In Healthcare Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in healthcare market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in healthcare market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
PathAI, Tempus, DeepMind (Google Health), Viz.ai, Butterfly Network, Aidoc, Nuance (Microsoft), Caption Health, Freenome, and Medtronic are among the ten major companies shaping the Artificial Intelligence in Healthcare market by combining clinical validation, regulatory approvals, and broad commercial deployments. PathAI applies machine‑learning to digital pathology to improve diagnostic accuracy and accelerate biomarker discovery for oncology and drug development. Tempus builds precision‑medicine platforms that integrate genomic and clinical data to inform oncology treatment selection and match patients to clinical trials at scale. DeepMind/Google Health develops advanced medical imaging and research‑grade models—such as breast cancer and retinal disease algorithms—and leverages breakthroughs in protein folding to accelerate drug discovery. Viz.ai focuses on AI‑driven care coordination for time‑sensitive conditions, using FDA‑cleared algorithms to rapidly detect urgent findings from imaging and alert care teams to shorten time to intervention. Butterfly Network democratizes ultrasound with handheld, AI‑assisted probes and cloud analytics that bring point‑of‑care imaging to clinics and remote settings. Aidoc provides an enterprise imaging AI operating system and a suite of FDA‑cleared algorithms designed to orchestrate, scale, and integrate multiple imaging models across large health systems to reduce “AI sprawl” and improve diagnostic workflows. Nuance Dragon Medical One (now part of Microsoft) delivers cloud‑based clinical speech recognition and ambient documentation tools that markedly reduce clinician documentation burden and integrate with electronic medical records. Caption Health develops AI guidance for ultrasound acquisition and interpretation, enabling less‑experienced operators to obtain diagnostic‑quality scans through real‑time coaching and automated analysis. Freenome applies machine learning to multi‑omics blood assays for early cancer detection, combining AI with large clinical datasets to improve sensitivity and specificity for screening and early diagnosis. Medtronic integrates AI across medical devices and care pathways—embedding predictive algorithms in diabetes pumps, surgical robotics, and cardiac monitoring to personalize therapy, improve device performance, and enable closed‑loop systems at scale.
These companies represent a cross‑section of AI use cases in healthcare: diagnostics (PathAI, DeepMind, Viz.ai, Aidoc, Butterfly, Caption), precision medicine and omics (Tempus, Freenome), clinical documentation and workflow automation (Nuance/Microsoft, Aidoc), and AI‑enabled medical devices and therapeutics (Medtronic, Butterfly). Several firms combine regulatory clearances and peer‑reviewed validation with commercial partnerships and system‑level integrations, increasing adoption by hospitals, imaging centers, and life sciences partners. Investment and M&A activity have accelerated product maturation—Nuance’s acquisition by Microsoft and continued collaborations between tech giants, device manufacturers, and health systems illustrate how platform scale and ecosystem integration drive market leadership.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in healthcare market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in healthcare market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
PathAI, Tempus, DeepMind (Google Health), Viz.ai, Butterfly Network, Aidoc, Nuance (Microsoft), Caption Health, Freenome, and Medtronic are among the ten major companies shaping the Artificial Intelligence in Healthcare market by combining clinical validation, regulatory approvals, and broad commercial deployments. PathAI applies machine‑learning to digital pathology to improve diagnostic accuracy and accelerate biomarker discovery for oncology and drug development. Tempus builds precision‑medicine platforms that integrate genomic and clinical data to inform oncology treatment selection and match patients to clinical trials at scale. DeepMind/Google Health develops advanced medical imaging and research‑grade models—such as breast cancer and retinal disease algorithms—and leverages breakthroughs in protein folding to accelerate drug discovery. Viz.ai focuses on AI‑driven care coordination for time‑sensitive conditions, using FDA‑cleared algorithms to rapidly detect urgent findings from imaging and alert care teams to shorten time to intervention. Butterfly Network democratizes ultrasound with handheld, AI‑assisted probes and cloud analytics that bring point‑of‑care imaging to clinics and remote settings. Aidoc provides an enterprise imaging AI operating system and a suite of FDA‑cleared algorithms designed to orchestrate, scale, and integrate multiple imaging models across large health systems to reduce “AI sprawl” and improve diagnostic workflows. Nuance Dragon Medical One (now part of Microsoft) delivers cloud‑based clinical speech recognition and ambient documentation tools that markedly reduce clinician documentation burden and integrate with electronic medical records. Caption Health develops AI guidance for ultrasound acquisition and interpretation, enabling less‑experienced operators to obtain diagnostic‑quality scans through real‑time coaching and automated analysis. Freenome applies machine learning to multi‑omics blood assays for early cancer detection, combining AI with large clinical datasets to improve sensitivity and specificity for screening and early diagnosis. Medtronic integrates AI across medical devices and care pathways—embedding predictive algorithms in diabetes pumps, surgical robotics, and cardiac monitoring to personalize therapy, improve device performance, and enable closed‑loop systems at scale.
These companies represent a cross‑section of AI use cases in healthcare: diagnostics (PathAI, DeepMind, Viz.ai, Aidoc, Butterfly, Caption), precision medicine and omics (Tempus, Freenome), clinical documentation and workflow automation (Nuance/Microsoft, Aidoc), and AI‑enabled medical devices and therapeutics (Medtronic, Butterfly). Several firms combine regulatory clearances and peer‑reviewed validation with commercial partnerships and system‑level integrations, increasing adoption by hospitals, imaging centers, and life sciences partners. Investment and M&A activity have accelerated product maturation—Nuance’s acquisition by Microsoft and continued collaborations between tech giants, device manufacturers, and health systems illustrate how platform scale and ecosystem integration drive market leadership.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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