Global artificial intelligence (ai) in respiratory diseases Market
Healthcare Services

Artificial Intelligence (AI) In Respiratory Diseases Market Analysis: Key Insights on Growth Rates, Trends, and Major Opportunities

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What Factors Are Driving the Anticipated Growth Rate of the Artificial Intelligence (AI) In Respiratory Diseases Market Through 2034?

In recent times, the artificial intelligence (AI) market for respiratory diseases has exhibited robust growth. Projections indicate an increase from $7.66 billion in 2024 to $8.05 billion in 2025, translating to a compound annual growth rate (CAGR) of 5.1%. Factors driving this growth during the historic period include amplified governmental directives, growing ecological concerns, a rise in the aging population, an increase towards patient-focused healthcare strategies, and enhanced healthcare infrastructure development.

The market for artificial intelligence (AI) in respiratory diseases is predicted to witness robust expansion in the upcoming years, anticipating a growth to $9.85 billion by 2029 with a compound annual growth rate (CAGR) of 5.2%. Factors contributing to this projected growth during the forecast period include an upsurge in respiratory diseases, increasing necessity for early detection and diagnosis, escalating environmental pollution, rising healthcare expenditure, and research and development efforts. Notable trends for the forecast period encompass technology evolution, drug discovery and formulation, tailored treatment schemes, telemedicine, and offsite patient supervision.

Which Drivers Are Expected to Have the Greatest Impact on the artificial intelligence (ai) in respiratory diseases Market’s Growth?

The rise in environmental contamination is anticipated to fuel the expansion of the artificial intelligence (AI) application in the respiratory ailment market. Environmental contamination is when substances or energy forms are added to the environment at a pace faster than they can be safely dispersed or stored. AI has the potential to substantially mitigate the effects of environmental pollution on respiratory health, providing real-time surveillance, personalized risk evaluations, informed decision-making, and inventive solutions for both individuals and groups. The US Energy Information Administration, an American government institution, declared in June 2024 that the CO2 emissions for 2021 amounted to 35.72 billion metric tons, which surged to 38.50 billion metric tons in 2022. Consequently, the escalation of environmental contamination is stimulating the expansion of the AI in the respiratory ailment market.

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Who Are the Major Industry Leaders Accelerating Growth in the Artificial Intelligence (AI) In Respiratory Diseases Market?

Major companies operating in the artificial intelligence (AI) in respiratory diseases market report are:

• Siemens Healthineers_x000D_

• Philips Healthcare_x000D_

• General Electric (GE) Healthcare_x000D_

• Verily Life Sciences LLC_x000D_

• DeepMind Health_x000D_

Which Current Trends Are Having the Most Impact on the Artificial Intelligence (AI) In Respiratory Diseases Market?

Leading companies that are active in the artificial intelligence (AI) sector within the respiratory diseases field are introducing revolutionary products, such as N-Tidal devices, to keep track of patients’ tidal respiration. The n-Tidal gadget calculates the amount of air transferred during regular respiration, offering precious insights into lung health. For instance, TidalSense, a respiratory technologies firm based in the UK, unveiled N-Tidal in August 2023. This is a controlled AI system used for diagnosing and managing chronic obstructive pulmonary disease (COPD). The system harnesses the CO2 sensor data from N-Tidal in conjunction with an artificial intelligence platform to record variations in lung function, with the objective of enhancing the diagnosis and management of respiratory diseases. Clinical research attests to the high precision of this technology, which is poised to revolutionize the procedure for diagnosing respiratory illnesses. The introduction of this technology marks a major step forward in the application of AI in assessing respiratory diseases, presenting a more convenient and efficient replacement to current diagnostic procedures.

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What Major Market Segments Define the Scope and Growth of 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 Regions Are Key Players in the Growth 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 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.

What Key Elements Shape the Definition of the Artificial Intelligence (AI) In Respiratory Diseases Market?

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.

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