Global AI in Respiratory Diseases Market Size Study & Forecast, By Imaging Type (Magnetic Resonance Imaging (MRI), Computed Tomography (CT) Scan, Electronic Patient-Reported Outcomes (ePRO)) By Indication (Chronic Obstructive Pulmonary Disease, Interstiti

Global AI in Respiratory Diseases Market Size Study & Forecast, By Imaging Type (Magnetic Resonance Imaging (MRI), Computed Tomography (CT) Scan, Electronic Patient-Reported Outcomes (ePRO)) By Indication (Chronic Obstructive Pulmonary Disease, Interstitial Lung Disease, Pulmonary Infection) By End Use (Hospital, Diagnostic Centers, Ambulatory Surgical Centers, Other End-Users) and Regional Analysis, 2023-2030


Global AI in Respiratory Diseases Market is valued at approximately USD xx billion in 2022 and is anticipated to grow with a healthy growth rate of more than xx% over the forecast period 2023-2030. AI in Respiratory Diseases refers to the application of artificial intelligence (AI) techniques and technologies in the diagnosis, management, treatment, and research of respiratory conditions including asthma, chronic obstructive pulmonary disease (COPD), pneumonia, lung cancer, and others. The AI in Respiratory Diseases market is expanding because of factors such as the rising prevalence of asthma and growing cases of chronic obstructive pulmonary disease. AI algorithms can analyze medical images such as chest X-rays, CT scans, and MRI scans to detect abnormalities indicative of respiratory diseases. As a result, the demand for AI in Respiratory Diseases has progressively increased in the international market during the forecast period 2023-2030.

AI-powered devices and software can allow for remote monitoring of asthma symptoms and medication adherence. Considering the growing frequency of asthma, there is a demand for remote monitoring technologies that can assist patients in efficiently managing their illness outside of clinical settings. Artificial intelligence can analyze data from wearable devices and patient-reported outcomes to provide information on illness progression and therapy efficacy. According to the Asthma and Allergy Foundation of America, every day, an average of 10 lives are lost to asthma in the United States. In the year 2021, the toll of asthma claimed 3,517 lives in the country. Furthermore, AI can leverage predictive analytics to forecast asthma exacerbations and identify high-risk patients who may require proactive intervention. Another important factor that drives the AI in Respiratory Diseases market is increasing cases of chronic obstructive pulmonary disease. AI algorithms can analyze individual patient data to tailor treatment plans based on factors such as disease severity, comorbidities, and response to therapy. This personalized approach can optimize treatment efficacy and minimize adverse effects. In addition, as per the World Health Organization, respiratory disease infection is considered the third major cause of death with approximately 3 million deaths per year, out of which nearly 90% of COPD fatalities occur in those 70-year-old people from low-and middle-income countries. Also, there are around 262 million patients estimated to suffer from asthma, which commonly affects children. Moreover, technological advancements related to AI integrated respiratory devices and the growing demand for personalized treatment for respiratory disease are anticipated to create a lucrative growth opportunity for the market over the forecast period. However, the high cost of AI based technology and lack of operational expertise is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global AI in Respiratory Diseases Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing funding for research and development in AI technology in the region. Increased funding can promote collaboration among AI researchers, physicians, pharmaceutical companies, and healthcare organizations, allowing for the exchange of data, skills, and resources to enhance AI-driven advances in respiratory disease management. According to ExecutiveGov, in 2022, the United States government has invested USD 4.8 billion in AI research and development to support programs that advance AI based smart health technologies and data science. The region’s dominant performance is anticipated to propel the overall demand for AI in Respiratory Diseases. Furthermore, Asia Pacific is expected to grow fastest during the forecast period, owing to factors such as the rising geriatric population in the region. Geriatric patients often have multiple comorbidities and may present with atypical symptoms, making early detection and accurate diagnosis crucial for effective management of respiratory diseases. AI-powered tools can assist healthcare providers in identifying patterns and markers indicative of respiratory conditions, facilitating early intervention and personalized treatment plans.

Major market players included in this report are:
Siemens Healthineers AG
GE HealthCare Technologies, Inc.
Verily Life Sciences LLC
Philips Healthcare
Dectrocel Healthcare And Research Pvt Ltd.
Icometrix NV
Infervision UK LTD.
PneumoWave Inc.
Respiray LLC
Thirona B.V.

Recent Developments in the Market:
 In April 2024, Clario, a healthcare research and technology business that provides the top endpoint technology solutions for clinical trials, acquired the technology startup ArtiQ. This acquisition increases the capability of artificial intelligence (AI) in Clario's Respiratory Solutions portfolio and strengthens the company's capacity to harness and build breakthrough AI applications across its service lines.

Global AI in Respiratory Diseases Market Report Scope:
 Historical Data – 2020 - 2021
 Base Year for Estimation – 2022
 Forecast period - 2023-2030
 Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
 Segments Covered - Imaging Type, Indication, End Use, Region
 Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa

The objective of the study is to define the market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters to detailed information about the crucial aspects such as driving factors & challenges that will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with a detailed analysis of the competitive landscape and product offerings of key players.

The detailed segments and sub-segment of the market are explained below:

By Imaging Type
Magnetic Resonance Imaging (MRI)
Computed Tomography (CT) Scan
Electronic Patient-Reported Outcomes (ePRO)

By Indication
Chronic Obstructive Pulmonary Disease
Interstitial Lung Disease
Pulmonary Infection

By End Use
Hospital
Diagnostic Centers
Ambulatory Surgical Centers
Other End-Users

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico
RoLA

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.


Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. AI in Respiratory Diseases Market, by Region, 2020-2030 (USD Billion)
1.2.2. AI in Respiratory Diseases Market, by Imaging Type, 2020-2030 (USD Billion)
1.2.3. AI in Respiratory Diseases Market, by Indication, 2020-2030 (USD Billion)
1.2.4. AI in Respiratory Diseases Market, by End Use, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI in Respiratory Diseases Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI in Respiratory Diseases Market Dynamics
3.1. AI in Respiratory Diseases Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Rising Prevalence of Asthma
3.1.1.2. Increasing Cases of Chronic Obstructive Pulmonary Disease
3.1.2. Market Challenges
3.1.2.1. High Cost of AI Based Technology
3.1.2.2. Lack of Operational Expertise
3.1.3. Market Opportunities
3.1.3.1. Technological Advancements Related to AI Integrated Respiratory Devices
3.1.3.2. Growing Demand for Personalized Treatment
Chapter 4. Global AI in Respiratory Diseases Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global AI in Respiratory Diseases Market, by Imaging Type
5.1. Market Snapshot
5.2. Global AI in Respiratory Diseases Market by Imaging Type, Performance - Potential Analysis
5.3. Global AI in Respiratory Diseases Market Estimates & Forecasts by Imaging Type 2020-2030 (USD Billion)
5.4. AI in Respiratory Diseases Market, Sub Segment Analysis
5.4.1. Magnetic Resonance Imaging (MRI)
5.4.2. Computed Tomography (CT) Scan
5.4.3. Electronic Patient-Reported Outcomes (ePRO)
Chapter 6. Global AI in Respiratory Diseases Market, by Indication
6.1. Market Snapshot
6.2. Global AI in Respiratory Diseases Market by Indication, Performance - Potential Analysis
6.3. Global AI in Respiratory Diseases Market Estimates & Forecasts by Indication 2020-2030 (USD Billion)
6.4. AI in Respiratory Diseases Market, Sub Segment Analysis
6.4.1. Chronic Obstructive Pulmonary Disease
6.4.2. Interstitial Lung Disease
6.4.3. Pulmonary Infection
Chapter 7. Global AI in Respiratory Diseases Market, by End Use
7.1. Market Snapshot
7.2. Global AI in Respiratory Diseases Market by End Use, Performance - Potential Analysis
7.3. Global AI in Respiratory Diseases Market Estimates & Forecasts by End Use 2020-2030 (USD Billion)
7.4. AI in Respiratory Diseases Market, Sub Segment Analysis
7.4.1. Hospital
7.4.2. Diagnostic Centers
7.4.3. Ambulatory Surgical Centers
7.4.4. Other End-Users
Chapter 8. Global AI in Respiratory Diseases Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. AI in Respiratory Diseases Market, Regional Market Snapshot
8.4. North America AI in Respiratory Diseases Market
8.4.1. U.S. AI in Respiratory Diseases Market
8.4.1.1. Imaging Type breakdown estimates & forecasts, 2020-2030
8.4.1.2. Indication breakdown estimates & forecasts, 2020-2030
8.4.1.3. End Use breakdown estimates & forecasts, 2020-2030
8.4.2. Canada AI in Respiratory Diseases Market
8.5. Europe AI in Respiratory Diseases Market Snapshot
8.5.1. U.K. AI in Respiratory Diseases Market
8.5.2. Germany AI in Respiratory Diseases Market
8.5.3. France AI in Respiratory Diseases Market
8.5.4. Spain AI in Respiratory Diseases Market
8.5.5. Italy AI in Respiratory Diseases Market
8.5.6. Rest of Europe AI in Respiratory Diseases Market
8.6. Asia-Pacific AI in Respiratory Diseases Market Snapshot
8.6.1. China AI in Respiratory Diseases Market
8.6.2. India AI in Respiratory Diseases Market
8.6.3. Japan AI in Respiratory Diseases Market
8.6.4. Australia AI in Respiratory Diseases Market
8.6.5. South Korea AI in Respiratory Diseases Market
8.6.6. Rest of Asia Pacific AI in Respiratory Diseases Market
8.7. Latin America AI in Respiratory Diseases Market Snapshot
8.7.1. Brazil AI in Respiratory Diseases Market
8.7.2. Mexico AI in Respiratory Diseases Market
8.8. Middle East & Africa AI in Respiratory Diseases Market
8.8.1. Saudi Arabia AI in Respiratory Diseases Market
8.8.2. South Africa AI in Respiratory Diseases Market
8.8.3. Rest of Middle East & Africa AI in Respiratory Diseases Market
Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Siemens Healthineers AG
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. GE HealthCare Technologies, Inc.
9.3.3. Verily Life Sciences LLC
9.3.4. Philips Healthcare
9.3.5. Dectrocel Healthcare And Research Pvt. Ltd.
9.3.6. Icometrix NV
9.3.7. Infervision UK LTD.
9.3.8. PneumoWave Inc.
9.3.9. Respiray LLC
9.3.10. Thirona B.V.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption
List of Tables
TABLE 1. Global AI in Respiratory Diseases Market, report scope
TABLE 2. Global AI in Respiratory Diseases Market estimates & forecasts by Region 2020-2030 (USD Billion)
TABLE 3. Global AI in Respiratory Diseases Market estimates & forecasts by Imaging Type 2020-2030 (USD Billion)
TABLE 4. Global AI in Respiratory Diseases Market estimates & forecasts by Indication 2020-2030 (USD Billion)
TABLE 5. Global AI in Respiratory Diseases Market estimates & forecasts by End Use 2020-2030 (USD Billion)
TABLE 6. Global AI in Respiratory Diseases Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 7. Global AI in Respiratory Diseases Market by region, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 8. Global AI in Respiratory Diseases Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 9. Global AI in Respiratory Diseases Market by region, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 10. Global AI in Respiratory Diseases Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 11. Global AI in Respiratory Diseases Market by region, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 12. Global AI in Respiratory Diseases Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 13. Global AI in Respiratory Diseases Market by region, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 14. Global AI in Respiratory Diseases Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 15. Global AI in Respiratory Diseases Market by region, estimates & forecasts, 2020-2030 (USD Billion)
TABLE 16. U.S. AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 17. U.S. AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 18. U.S. AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 19. Canada AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 20. Canada AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 21. Canada AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 22. UK AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 23. UK AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 24. UK AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 25. Germany AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 26. Germany AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 27. Germany AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 28. France AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 29. France AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 30. France AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 31. Italy AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 32. Italy AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 33. Italy AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 34. Spain AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 35. Spain AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 36. Spain AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 37. RoE AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 38. RoE AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 39. RoE AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 40. China AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 41. China AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 42. China AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 43. India AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 44. India AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 45. India AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 46. Japan AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 47. Japan AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 48. Japan AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 49. South Korea AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 50. South Korea AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 51. South Korea AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 52. Australia AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 53. Australia AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 54. Australia AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 55. RoAPAC AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 56. RoAPAC AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 57. RoAPAC AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 58. Brazil AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 59. Brazil AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 60. Brazil AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 61. Mexico AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 62. Mexico AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 63. Mexico AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 64. RoLA AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 65. RoLA AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 66. RoLA AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 67. Saudi Arabia AI in Respiratory Diseases Market estimates & forecasts, 2020-2030 (USD Billion)
TABLE 68. South Africa AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 69. RoMEA AI in Respiratory Diseases Market estimates & forecasts by segment 2020-2030 (USD Billion)
TABLE 70. List of secondary sources, used in the study of Global AI in Respiratory Diseases Market
TABLE 71. List of primary sources, used in the study of Global AI in Respiratory Diseases Market
TABLE 72. Years considered for the study
TABLE 73. Exchange rates considered
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of figures
FIGURE 1. Global AI in Respiratory Diseases Market, research methodology
FIGURE 2. Global AI in Respiratory Diseases Market, Market estimation techniques
FIGURE 3. Global Market size estimates & forecast methods
FIGURE 4. Global AI in Respiratory Diseases Market, key trends 2022
FIGURE 5. Global AI in Respiratory Diseases Market, growth prospects 2023-2030
FIGURE 6. Global AI in Respiratory Diseases Market, porters 5 force model
FIGURE 7. Global AI in Respiratory Diseases Market, pest analysis
FIGURE 8. Global AI in Respiratory Diseases Market, value chain analysis
FIGURE 9. Global AI in Respiratory Diseases Market by segment, 2020 & 2030 (USD Billion)
FIGURE 10. Global AI in Respiratory Diseases Market by segment, 2020 & 2030 (USD Billion)
FIGURE 11. Global AI in Respiratory Diseases Market by segment, 2020 & 2030 (USD Billion)
FIGURE 12. Global AI in Respiratory Diseases Market by segment, 2020 & 2030 (USD Billion)
FIGURE 13. Global AI in Respiratory Diseases Market by segment, 2020 & 2030 (USD Billion)
FIGURE 14. Global AI in Respiratory Diseases Market, regional snapshot 2020 & 2030
FIGURE 15. North America AI in Respiratory Diseases Market 2020 & 2030 (USD Billion)
FIGURE 16. Europe AI in Respiratory Diseases Market 2020 & 2030 (USD Billion)
FIGURE 17. Asia Pacific AI in Respiratory Diseases Market 2020 & 2030 (USD Billion)
FIGURE 18. Latin America AI in Respiratory Diseases Market 2020 & 2030 (USD Billion)
FIGURE 19. Middle East & Africa AI in Respiratory Diseases Market 2020 & 2030 (USD Billion)
List of tables and figures and dummy in nature, final lists may vary in the final deliverable

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