Press release
Global Artificial Intelligence (AI) In Respiratory Diseases Market to Reach $9.85 Billion by 2029, Growing at 5.2% CAGR
Artificial Intelligence AI In Respiratory Diseases Market
The rise in environmental contamination is projected to boost the adoption of artificial intelligence (AI) in the market for respiratory diseases. Environmental contamination involves the rapid addition of substances or energy forms to the environment, faster than they can be dispersed or stored harmlessly. AI holds great promise in curtailing the detriment of environmental pollutants on respiratory wellness by providing real-time monitoring, personalized risk evaluations, informed choices, and pioneering solutions for both person and populations. For instance, in June 2024, the US Energy Information Administration, a government organization in the US, reported that the CO2 emission in 2021 was 35.72 billion metric tons, which escalated to 38.50 billion metric tons in 2022. Thus, escalating environmental pollution is a key force driving the expansion of artificial intelligence in the respiratory disease sector.
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How will the growth rate of the artificial intelligence (ai) in respiratory diseases market shape industry trends by 2034?
The market size for artificial intelligence (AI) in respiratory diseases has seen significant expansion in the past few years. The growth projection indicates a rise from $7.66 billion in 2024 to $8.05 billion in 2025, experiencing a compound annual growth rate (CAGR) of 5.1%. This growth during the historical period is due to several factors including tighter government regulations, escalating environmental worries, an increase in the aging population, a surge in patient-centric healthcare strategies, and the rise in healthcare infrastructure development.
The market size of artificial intelligence (AI) in the field of respiratory diseases is projected to witness robust growth in the coming years. The market valuation is predicted to climb to $9.85 billion by 2029, with a compound annual growth rate (CAGR) of 5.2%. The bullish trend in the forecasted timeline can be attributed to factors such as the increasing incidents of respiratory diseases, an escalating call for prompt detection and treatment, growing levels of environmental pollution, increasing healthcare spending, as well as research and development objectives. The forecast period is likely to see notable trends including technological advancement, the discovery and advancement of drugs, tailor-made treatment schedules, telemedicine, and long-distance patient monitoring.
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What are the emerging trends shaping the future of the artificial intelligence (ai) in respiratory diseases market?
Leading businesses in the respiratory diseases artificial intelligence (AI) market are introducing unique products like N-Tidal devices for the monitoring of patients' tidal breathing. These devices measure the volume of air exchanged during normal respiration, thereby giving valuable insight into the functioning of the lungs. In August 2023, for instance, TidalSense, a British respiratory technology firm, introduced N-Tidal, a controlled AI technology for diagnosing and managing chronic obstructive pulmonary disease (COPD). This technology integrates the CO2 sensor data from N-Tidal with an AI platform to gauge alterations in lung functionality, with the goal of enhancing COPD diagnosis and management. Clinical trials have shown the high precision of this technology and it is anticipated to overhaul the procedure for diagnosing respiratory diseases. This signifies significant progress in the use of AI in the evaluation of respiratory diseases by providing a more convenient and superior alternative to existing diagnostic procedures.
Which primary segments of the artificial intelligence (ai) in respiratory diseases market are driving growth and industry transformations?
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
Subsegments:
1) By Magnetic Resonance Imaging (MRI): Lung Imaging, Thoracic Imaging, Cardiopulmonary Imaging
2) By Computed Tomography (CT) Scan: High-Resolution CT (HRCT), Low-Dose CT, Thoracic CT
3) By Electronic Patient-Reported Outcomes (ePRO): Symptom Tracking, Medication Adherence Monitoring, Quality Of Life Assessments
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Which geographical regions are pioneering growth in the artificial intelligence (ai) in respiratory diseases market?
North America was the largest region in the artificial Intelligence (AI) in respiratory diseases market in 2024. 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.
Who are the influential players reshaping the artificial intelligence (ai) in respiratory diseases market landscape?
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.
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What Is Covered In The Artificial Intelligence (AI) In Respiratory Diseases Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) in respiratory diseases market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in respiratory diseases market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) in respiratory diseases market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in respiratory diseases market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in respiratory diseases market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in respiratory diseases market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in respiratory diseases market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in respiratory diseases market, including expansions, agreements, and new product launches.
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