Global Artificial Intelligence (AI) In Respiratory Diseases Market 2026–2030: Forecast Insights for Business Planning
Uncover key drivers, emerging technologies, and competitive movements shaping the artificial intelligence (ai) in respiratory diseases market from 2026–2035 with trusted insights from The Business Research Company
What growth pattern is forecast for the Artificial Intelligence (AI) In Respiratory Diseases Market size between 2026 and 2035?
The market size for artificial intelligence (AI) in respiratory diseases has exhibited consistent growth in recent years. It is projected to increase from $7.98 billion in 2025 to $8.38 billion in 2026, achieving a compound annual growth rate (CAGR) of 4.9%. The expansion observed in the historic period can be linked to the rising incidence of respiratory diseases, the increased application of CT and MRI imaging, the ongoing digitalization of healthcare records, the early adoption of AI-assisted diagnostics, and the broadening of hospital diagnostic capabilities.
The artificial intelligence (AI) in respiratory diseases market is anticipated to experience substantial expansion in the coming years. This market is projected to reach a value of $10.19 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 5.0%. Factors driving this growth during the forecast period include the increasing demand for personalized respiratory care, the rising integration of AI with clinical decision support systems, the expansion of remote monitoring solutions for chronic respiratory patients, a growing emphasis on preventive pulmonology, and advancements in medical imaging AI. Key trends anticipated within the same period encompass the increasing utilization of AI-based imaging analysis, the rising adoption of predictive disease progression models, the expanding integration of AI in pulmonary diagnostics, the broader deployment of remote respiratory monitoring solutions, and an enhanced focus on the early detection of diseases.
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Which Drivers Are Impacting Market Performance In The Artificial Intelligence (AI) In Respiratory Diseases Market?
The respiratory disease market is a significant area moving forward. Environmental pollution refers to the introduction of any substance or form of energy into the environment at a rate exceeding its capacity for safe dispersal or storage. Artificial intelligence (AI) in respiratory diseases possesses the capability to substantially mitigate the consequences of environmental pollution on respiratory health, achieving this through continuous monitoring, customized risk assessments, data-driven decision-making, and advanced remedies for both individuals and collective populations. For instance, in November 2024, based on the Global Carbon Budget, a Japan-based annual scientific assessment, fossil carbon dioxide emissions reached 37.4 billion tonnes, marking an increase of 0.8% compared to the preceding year. Therefore, the escalating environmental pollution is a key factor driving the expansion of artificial intelligence (AI) within the respiratory disease market.
What Segment Types Are Examined In The Artificial Intelligence (AI) In Respiratory Diseases Market?
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
Which Market Trends Are Opening Growth Opportunities In The Artificial Intelligence (AI) In Respiratory Diseases Market?
Leading companies engaged in artificial intelligence (AI) within the respiratory diseases market are creating advanced solutions such as N-Tidal devices for monitoring patients’ tidal breathing. The N-Tidal device quantifies the volume of air exchanged during normal breathing, providing crucial insights into lung performance. For instance, in August 2023, TidalSense, a UK-based respiratory technology company, introduced N-Tidal, a regulated AI technology for the diagnosis and management of chronic obstructive pulmonary disease (COPD). This technology integrates N-Tidal’s CO2 sensor data with an artificial intelligence platform to measure changes in lung function, aiming to enhance the diagnosis and management of this respiratory condition. Clinical studies have confirmed the technology’s high accuracy, and it is expected to transform the diagnostic process for respiratory diseases. This introduction marks a significant step forward in utilizing AI for respiratory disease assessment, offering a more comfortable and efficient alternative to current diagnostic tests.
Who Are The Primary Competitors In The Global Artificial Intelligence (AI) In Respiratory Diseases Market?
Major companies operating in the artificial intelligence (AI) in respiratory diseases market are Siemens Healthineers, Philips Healthcare, GE Healthcare, Verily Life Sciences LLC, DeepMind Health, Merative L.P., Aidoc Medical, Butterfly Network, Infervision, Imagen Technologies, Caption Health, Swaasa AI, VIDA Diagnostics Inc., Enlitic, Thirona B.V., ArtiQ, Icometrix, Aidence, Arterys, PneumoWave Ltd
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Which Global Regions Are Shaping The Competitive Landscape Of The Artificial Intelligence (AI) In Respiratory Diseases Market?
North America was the largest region in the artificial Intelligence (AI) in respiratory diseases market in 2025. 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, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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