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Artificial Intelligence (AI) In Respiratory Diseases Market Data, Industry Analysis, Size, Share Forecast To 2033 | Siemens Healthineers, Philips Healthcare, General Electric (GE) Healthcare, Verily Life Sciences LLC, DeepMind Health

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Overview and Scope
Artificial intelligence (AI) in respiratory diseases refers to the use of AI and machine learning techniques to aid clinicians in the diagnosis, management, and treatment of various respiratory conditions. It has numerous potential applications in pulmonary medicine, including image analysis, predictive modeling, and disease management.

Sizing and Forecast
The AI in respiratory diseases market size has grown strongly in recent years. It will grow from $7.25 billion in 2023 to $7.66 billion in 2024 at a compound annual growth rate (CAGR) of 5.6%. The growth in the historic period can be attributed to increasing government regulations, growing environmental concerns, increasing aging population, growing patient-centric healthcare approaches, rise in healthcare infrastructure development.

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Segmentation & Regional Insights
The artificial intelligence (ai) in respiratory diseases market covered in this report is segmented –

1) By Imaging Type: Magnetic Resonance Imaging (MRI), Computed Tomography (CT) Scan, Electronic Patient-Reported Outcomes (ePRO)
2) By Indication: Chronic Obstructive Pulmonary Disease, Interstitial Lung Disease, Pulmonary Infection
3) By End Use: Hospital, Diagnostic Centers, Ambulatory Surgical Centers, Other End-Users

North America was the largest region in the artificial Intelligence (AI) in respiratory diseases market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai) in respiratory diseases market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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Major Driver Impacting Market Growth
Growing environmental pollution is expected to propel the growth of artificial intelligence (AI) in the respiratory disease market going forward. Environmental pollution refers to the addition of any substance or form of energy to the environment at a rate faster than it can be dispersed or stored in a harmless form. AI in respiratory diseases has the potential to significantly reduce the impact of environmental pollution on respiratory health by offering real-time monitoring, personalized risk assessments, informed decision-making, and innovative solutions for both individuals and communities. For instance, in November 2023, according to the United States Environmental Protection Agency, a US-based government agency, in the US around 66 million tons of pollution was emitted into the atmosphere in 2022. Further, US greenhouse gas emissions by the economic sector increased by 6,025.97 million metric tons (MMT) of CO2 in 2020 to 6,340.23 million metric tons (MMT) of CO2 in 2021. Therefore, growing environmental pollution is driving the growth of artificial intelligence (AI) in the respiratory disease market.

Key Industry Players
Major companies operating in the artificial intelligence (ai) in respiratory diseases market report are Siemens Healthineers, Philips Healthcare, General Electric (GE) Healthcare, Verily Life Sciences LLC, DeepMind Health, Merative L.P., Innovaccer, Freenome, Aidoc Medical, Butterfly Network, Infervision, Imagen Technologies, Caption Health, Gauss Surgical Inc., Swaasa AI, Inspirata Inc., VIDA Diagnostics Inc., Enlitic, Thirona B.v., ArtiQ , Icometrix, Zynnon AG, Aidence, Arterys, Dectrocel Healthcare, PneumoWave Ltd.

The artificial intelligence (ai) in respiratory diseases market report table of contents includes:

1. Executive Summary

2. Artificial Intelligence (AI) In Respiratory Diseases Market Characteristics

3. Artificial Intelligence (AI) In Respiratory Diseases Market Trends And Strategies

4. Artificial Intelligence (AI) In Respiratory Diseases Market – Macro Economic Scenario

5. Global Artificial Intelligence (AI) In Respiratory Diseases Market Size and Growth

…..

32. Global Artificial Intelligence (AI) In Respiratory Diseases Market Competitive Benchmarking

33. Global Artificial Intelligence (AI) In Respiratory Diseases Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Respiratory Diseases Market

35. Artificial Intelligence (AI) In Respiratory Diseases Market Future Outlook and Potential Analysis

36. Appendix

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