Selected research
Market Analysis & Forecast
Global AI in Respiratory Diseases Market Analysis and Forecast 2026-2032
Market perspective
The global AI in Respiratory Diseases market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI in Respiratory Diseases is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI in Respiratory Diseases is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI in Respiratory Diseases is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI in Respiratory Diseases is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI in Respiratory Diseases include ArtiQ, Philips Healthcare, GE Healthcare, Siemens Healthineers, Swaasa AI, THIRONA, DeepMind Health, Verily and VIDA Diagnostics Inc, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI in Respiratory Diseases, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI in Respiratory Diseases, also provides the revenue of main regions and countries. Of the upcoming market potential for AI in Respiratory Diseases, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI in Respiratory Diseases revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI in Respiratory Diseases market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI in Respiratory Diseases revenue, projected growth trends, production technology, application and end-user industry.
AI in Respiratory Diseases Segment by Company
ArtiQ
Philips Healthcare
GE Healthcare
Siemens Healthineers
Swaasa AI
THIRONA
DeepMind Health
Verily
VIDA Diagnostics Inc
Icometrix
Infervision
PneumoWave
Respiray
Dectrocel Healthcare
Zynnon
AI in Respiratory Diseases Segment by Type
Pulmonary Infection
MRI
CT Scan
AI in Respiratory Diseases Segment by Application
Hospital
Diagnostic Centers
Ambulatory Surgical Centers
Others
AI in Respiratory Diseases Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI in Respiratory Diseases market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI in Respiratory Diseases and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI in Respiratory Diseases.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of AI in Respiratory Diseases in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of AI in Respiratory Diseases company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Respiratory Diseases revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Pulmonary Infection
- MRI
- CT Scan
Applications
- Hospital
- Diagnostic Centers
- Ambulatory Surgical Centers
- Others
Companies covered
- ArtiQ
- Philips Healthcare
- GE Healthcare
- Siemens Healthineers
- Swaasa AI
- THIRONA
- DeepMind Health
- Verily
- VIDA Diagnostics Inc
- Icometrix
- Infervision
- PneumoWave
- Respiray
- Dectrocel Healthcare
- Zynnon
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI in Respiratory Diseases Market by Type
- 1.2.1 Global AI in Respiratory Diseases Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Pulmonary Infection
- 1.2.3 MRI
- 1.2.4 CT Scan
- 1.3 AI in Respiratory Diseases Market by Application
- 1.3.1 Global AI in Respiratory Diseases Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Hospital
- 1.3.3 Diagnostic Centers
- 1.3.4 Ambulatory Surgical Centers
- 1.3.5 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI in Respiratory Diseases Market Dynamics
- 2.1 AI in Respiratory Diseases Industry Trends
- 2.2 AI in Respiratory Diseases Industry Drivers
- 2.3 AI in Respiratory Diseases Industry Opportunities and Challenges
- 2.4 AI in Respiratory Diseases Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI in Respiratory Diseases Market Perspective (2021-2032)
- 3.2 Global AI in Respiratory Diseases Growth Trends by Region
- 3.2.1 Global AI in Respiratory Diseases Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI in Respiratory Diseases Market Size by Region (2021-2026)
- 3.2.3 Global AI in Respiratory Diseases Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI in Respiratory Diseases Revenue by Players
- 4.1.1 Global AI in Respiratory Diseases Revenue by Players (2021-2026)
- 4.1.2 Global AI in Respiratory Diseases Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI in Respiratory Diseases Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI in Respiratory Diseases Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI in Respiratory Diseases Key Players Headquarters & Area Served
- 4.4 Global AI in Respiratory Diseases Players, Product Type & Application
- 4.5 Global AI in Respiratory Diseases Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI in Respiratory Diseases Market CR5 and HHI
- 4.6.3 2025 AI in Respiratory Diseases Tier 1, Tier 2, and Tier 3
5 AI in Respiratory Diseases Market Size by Type
- 5.1 Global AI in Respiratory Diseases Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI in Respiratory Diseases Revenue by Type (2021-2032)
- 5.3 Global AI in Respiratory Diseases Revenue Market Share by Type (2021-2032)
6 AI in Respiratory Diseases Market Size by Application
- 6.1 Global AI in Respiratory Diseases Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI in Respiratory Diseases Revenue by Application (2021-2032)
- 6.3 Global AI in Respiratory Diseases Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 ArtiQ
- 7.1.1 ArtiQ Company Information
- 7.1.2 ArtiQ Business Overview
- 7.1.3 ArtiQ AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.1.4 ArtiQ AI in Respiratory Diseases Product Portfolio
- 7.1.5 ArtiQ Recent Developments
- 7.2 Philips Healthcare
- 7.2.1 Philips Healthcare Company Information
- 7.2.2 Philips Healthcare Business Overview
- 7.2.3 Philips Healthcare AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.2.4 Philips Healthcare AI in Respiratory Diseases Product Portfolio
- 7.2.5 Philips Healthcare Recent Developments
- 7.3 GE Healthcare
- 7.3.1 GE Healthcare Company Information
- 7.3.2 GE Healthcare Business Overview
- 7.3.3 GE Healthcare AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.3.4 GE Healthcare AI in Respiratory Diseases Product Portfolio
- 7.3.5 GE Healthcare Recent Developments
- 7.4 Siemens Healthineers
- 7.4.1 Siemens Healthineers Company Information
- 7.4.2 Siemens Healthineers Business Overview
- 7.4.3 Siemens Healthineers AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.4.4 Siemens Healthineers AI in Respiratory Diseases Product Portfolio
- 7.4.5 Siemens Healthineers Recent Developments
- 7.5 Swaasa AI
- 7.5.1 Swaasa AI Company Information
- 7.5.2 Swaasa AI Business Overview
- 7.5.3 Swaasa AI AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.5.4 Swaasa AI AI in Respiratory Diseases Product Portfolio
- 7.5.5 Swaasa AI Recent Developments
- 7.6 THIRONA
- 7.6.1 THIRONA Company Information
- 7.6.2 THIRONA Business Overview
- 7.6.3 THIRONA AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.6.4 THIRONA AI in Respiratory Diseases Product Portfolio
- 7.6.5 THIRONA Recent Developments
- 7.7 DeepMind Health
- 7.7.1 DeepMind Health Company Information
- 7.7.2 DeepMind Health Business Overview
- 7.7.3 DeepMind Health AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.7.4 DeepMind Health AI in Respiratory Diseases Product Portfolio
- 7.7.5 DeepMind Health Recent Developments
- 7.8 Verily
- 7.8.1 Verily Company Information
- 7.8.2 Verily Business Overview
- 7.8.3 Verily AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.8.4 Verily AI in Respiratory Diseases Product Portfolio
- 7.8.5 Verily Recent Developments
- 7.9 VIDA Diagnostics Inc
- 7.9.1 VIDA Diagnostics Inc Company Information
- 7.9.2 VIDA Diagnostics Inc Business Overview
- 7.9.3 VIDA Diagnostics Inc AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.9.4 VIDA Diagnostics Inc AI in Respiratory Diseases Product Portfolio
- 7.9.5 VIDA Diagnostics Inc Recent Developments
- 7.10 Icometrix
- 7.10.1 Icometrix Company Information
- 7.10.2 Icometrix Business Overview
- 7.10.3 Icometrix AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.10.4 Icometrix AI in Respiratory Diseases Product Portfolio
- 7.10.5 Icometrix Recent Developments
- 7.11 Infervision
- 7.11.1 Infervision Company Information
- 7.11.2 Infervision Business Overview
- 7.11.3 Infervision AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.11.4 Infervision AI in Respiratory Diseases Product Portfolio
- 7.11.5 Infervision Recent Developments
- 7.12 PneumoWave
- 7.12.1 PneumoWave Company Information
- 7.12.2 PneumoWave Business Overview
- 7.12.3 PneumoWave AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.12.4 PneumoWave AI in Respiratory Diseases Product Portfolio
- 7.12.5 PneumoWave Recent Developments
- 7.13 Respiray
- 7.13.1 Respiray Company Information
- 7.13.2 Respiray Business Overview
- 7.13.3 Respiray AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.13.4 Respiray AI in Respiratory Diseases Product Portfolio
- 7.13.5 Respiray Recent Developments
- 7.14 Dectrocel Healthcare
- 7.14.1 Dectrocel Healthcare Company Information
- 7.14.2 Dectrocel Healthcare Business Overview
- 7.14.3 Dectrocel Healthcare AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.14.4 Dectrocel Healthcare AI in Respiratory Diseases Product Portfolio
- 7.14.5 Dectrocel Healthcare Recent Developments
- 7.15 Zynnon
- 7.15.1 Zynnon Company Information
- 7.15.2 Zynnon Business Overview
- 7.15.3 Zynnon AI in Respiratory Diseases Revenue and Gross Margin (2021-2026)
- 7.15.4 Zynnon AI in Respiratory Diseases Product Portfolio
- 7.15.5 Zynnon Recent Developments
8 North America
- 8.1 North America AI in Respiratory Diseases Revenue (2021-2032)
- 8.2 North America AI in Respiratory Diseases Revenue by Type (2021-2032)
- 8.2.1 North America AI in Respiratory Diseases Revenue by Type (2021-2026)
- 8.2.2 North America AI in Respiratory Diseases Revenue by Type (2027-2032)
- 8.3 North America AI in Respiratory Diseases Revenue Share by Type (2021-2032)
- 8.4 North America AI in Respiratory Diseases Revenue by Application (2021-2032)
- 8.4.1 North America AI in Respiratory Diseases Revenue by Application (2021-2026)
- 8.4.2 North America AI in Respiratory Diseases Revenue by Application (2027-2032)
- 8.5 North America AI in Respiratory Diseases Revenue Share by Application (2021-2032)
- 8.6 North America AI in Respiratory Diseases Revenue by Country
- 8.6.1 North America AI in Respiratory Diseases Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI in Respiratory Diseases Revenue by Country (2021-2026)
- 8.6.3 North America AI in Respiratory Diseases Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI in Respiratory Diseases Revenue (2021-2032)
- 9.2 Europe AI in Respiratory Diseases Revenue by Type (2021-2032)
- 9.2.1 Europe AI in Respiratory Diseases Revenue by Type (2021-2026)
- 9.2.2 Europe AI in Respiratory Diseases Revenue by Type (2027-2032)
- 9.3 Europe AI in Respiratory Diseases Revenue Share by Type (2021-2032)
- 9.4 Europe AI in Respiratory Diseases Revenue by Application (2021-2032)
- 9.4.1 Europe AI in Respiratory Diseases Revenue by Application (2021-2026)
- 9.4.2 Europe AI in Respiratory Diseases Revenue by Application (2027-2032)
- 9.5 Europe AI in Respiratory Diseases Revenue Share by Application (2021-2032)
- 9.6 Europe AI in Respiratory Diseases Revenue by Country
- 9.6.1 Europe AI in Respiratory Diseases Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI in Respiratory Diseases Revenue by Country (2021-2026)
- 9.6.3 Europe AI in Respiratory Diseases Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI in Respiratory Diseases Revenue (2021-2032)
- 10.2 China AI in Respiratory Diseases Revenue by Type (2021-2032)
- 10.2.1 China AI in Respiratory Diseases Revenue by Type (2021-2026)
- 10.2.2 China AI in Respiratory Diseases Revenue by Type (2027-2032)
- 10.3 China AI in Respiratory Diseases Revenue Share by Type (2021-2032)
- 10.4 China AI in Respiratory Diseases Revenue by Application (2021-2032)
- 10.4.1 China AI in Respiratory Diseases Revenue by Application (2021-2026)
- 10.4.2 China AI in Respiratory Diseases Revenue by Application (2027-2032)
- 10.5 China AI in Respiratory Diseases Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI in Respiratory Diseases Revenue (2021-2032)
- 11.2 Asia AI in Respiratory Diseases Revenue by Type (2021-2032)
- 11.2.1 Asia AI in Respiratory Diseases Revenue by Type (2021-2026)
- 11.2.2 Asia AI in Respiratory Diseases Revenue by Type (2027-2032)
- 11.3 Asia AI in Respiratory Diseases Revenue Share by Type (2021-2032)
- 11.4 Asia AI in Respiratory Diseases Revenue by Application (2021-2032)
- 11.4.1 Asia AI in Respiratory Diseases Revenue by Application (2021-2026)
- 11.4.2 Asia AI in Respiratory Diseases Revenue by Application (2027-2032)
- 11.5 Asia AI in Respiratory Diseases Revenue Share by Application (2021-2032)
- 11.6 Asia AI in Respiratory Diseases Revenue by Country
- 11.6.1 Asia AI in Respiratory Diseases Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI in Respiratory Diseases Revenue by Country (2021-2026)
- 11.6.3 Asia AI in Respiratory Diseases Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI in Respiratory Diseases Revenue (2021-2032)
- 12.2 SAMEA AI in Respiratory Diseases Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI in Respiratory Diseases Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI in Respiratory Diseases Revenue by Type (2027-2032)
- 12.3 SAMEA AI in Respiratory Diseases Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI in Respiratory Diseases Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI in Respiratory Diseases Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI in Respiratory Diseases Revenue by Application (2027-2032)
- 12.5 SAMEA AI in Respiratory Diseases Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI in Respiratory Diseases Revenue by Country
- 12.6.1 SAMEA AI in Respiratory Diseases Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI in Respiratory Diseases Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI in Respiratory Diseases Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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