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The AI in bronchoscopy market size was valued at USD 0.16 billion in 2025. The market is projected to grow from USD 0.20 billion in 2026 to USD 1.70 billion by 2034, exhibiting a CAGR of 30.75% during the forecast period.
The AI in bronchoscopy market is poised for significant growth over the forecast period, driven by increasing digitalization and the adoption of AI tools in healthcare. These AI tools in bronchoscopy help overcome numerous limitations of traditional methods by providing real-time route planning and navigation guidancee during biopsies. They help healthcare providers to diagnose lung cancer earlier and more accurately, especially for small, peripheral lung nodules that are harder to reach with conventional bronchoscopy. Clinicians are increasingly in need of bronchoscopy systems that can navigate deeper, compensate for CT-to-body differences, and confirm targeting in real time. AI tools offer these solutions, increasing demand and driving market growth.
Additionally, innovative product launches by key companies integrating advanced technologies determine the market's growth potential.
Furthermore, funding initiatives, technological advancements, and key mergers and partnerships by major companies strengthen their market position and support the overall market growth.
Increasing Lung Cancer Screening Programs to Expand the Addressable Pool for AI-Assisted Bronchoscopy Drives Market Growth
One of the principal factors driving market growth is the expansion of lung cancer screening programs, leading to more early-stage diagnoses. As the volume of lung cancer screening programs increases, resulting in more screen-detected nodules, hospitals face pressure for rapid diagnoses. These factors elevate demand for AI in bronchoscopy to reliably reach small, peripheral lesions. AI-enabled navigation and real-time mapping, and targeting support help clinicians localize lesions more consistently and improve workflow efficiency. Screening scale-up also pushes more community and mid-tier centers to build lung nodule pathways, creating a larger install base for AI bronchoscopy software tied to navigation and robotic platforms. To commercialize this market potential, key companies are participating in strategic collaborations to advance technology.
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For instance, in 2026, the American Cancer Society estimated that 110,910 new cancer cases would occur. Among lung cancers, small cell lung carcinoma (SCLC) accounted for 13%, and non-small cell lung carcinoma (NSCLC) accounted for about 77%. The increasing prevalence of lung cancer is driving demand for AI in bronchoscopy in cancer research.
Shortage of Trained Interventional Pulmonologists to Constrain Procedure Growth and Hamper Market Growth
One of the principal factors restraining the market is the shortage of trained interventional pulmonologists and bronchoscopy-capable teams. This shortage directly limits the efficiency with which hospitals can scale AI-enabled bronchoscopy. Even when the technology is available, when staffing is tight, hospitals prioritize urgent care delivery over adding new advanced workflows. Also, fewer specialists result in lower procedure capacity, longer waiting lists, and slower site onboarding/training for AI navigation or robotic bronchoscopy programs. This reduces utilization of installed systems, weakens the ROI case for new purchases, and can delay adoption and adversely affect market growth.
Expansion of Robotic-Assisted Bronchoscopy Programs in Mid-Tier Hospitals Creates a Major Growth Opportunity
A key factor offering significant growth opportunities for the market is the increasing adoption of robotic-assisted bronchoscopy programs. As robotic-assisted bronchoscopy moves beyond top-tier institutions into mid-tier hospitals, the addressable market expands, offering opportunities to bring advanced lung nodule biopsy in-house. When these hospitals offer higher-precision peripheral nodule access, they can capture more procedure volume, reduce patient leakage, and shorten time-to-diagnosis, thereby strengthening their business case. These factors collectively create a significant growth opportunity, as each new program typically requires navigation software, imaging integration, training services, and ongoing upgrades. These tools also generate recurring revenue and facilitate faster market expansion.
Underscoring these expanded applications, key companies are focusing on novel product launches, simultaneously seeking regulatory approval to capitalize on the growth potential.
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By Component |
By Deployment |
By Technology |
By Application |
By End User |
By Region |
|
· Hardware/ Devices · Software & Services |
· Cloud-Based · On Premise · Hybrid |
· Computer Vision · Machine Learning & Deep Learning · Others |
· Navigation & Guidance · Biopsy Targeting & Lesion Detection · Real-time Anatomical Mapping · Performance Assessment & Training · Others |
· Hospitals & ASCs · Specialty Clinics · Academic & Research Institutes · Others |
· North America (U.S. and Canada) · Europe (U.K., Germany, France, Spain, Italy, Scandinavia, and the Rest of Europe) · Asia Pacific (Japan, China, India, Australia, Southeast Asia, and the Rest of Asia Pacific) · Latin America (Brazil, Mexico, and the Rest of Latin America) · Middle East & Africa (South Africa, GCC, and the Rest of the Middle East & Africa) |
The report covers the following key insights:
Based on the component, the global AI in bronchoscopy market is segmented into hardware/ devices and software & services.
The hardware/devices segment is estimated to hold a leading share. AI in bronchoscopy is typically integrated into high-value procedural platforms, such as robotic bronchoscopy, navigation systems, and imaging-enabled suites. Hospitals must first invest in the physical system to enable advanced peripheral lung access; hardware accounts for the largest share of upfront spend. Once hardware is installed, software and services are added and grow over time, but the initial buying decision is typically anchored in the device platform and its clinical capabilities. New product launches with innovative features in the software segment to reinforce segment dominance.
Based on deployment, the global AI in bronchoscopy market is segmented into cloud-based, on-premise, and hybrid.
Among these, the on-premise segment is anticipated to hold a leading market share. These artificial intelligence tools must work in real time inside the procedure room, integrated with imaging and navigation workflows where latency and reliability matter. Hospitals prefer on-premise deployment as it supports continuous availability, tighter integration with equipment, and easier compliance with clinical IT policies during live procedures. Highlighting these advantages, key companies are launching new products to expand their offerings in the segment.
Based on technology, the mrket is divided into computer vision, machine learning & deep learning, and others.
The machine learning and deep learning segment is projected to dominate the market. Wise applications of AI in bronchoscopy, such as navigation assistance, image enhancement, tom synthesis/3D reconstruction, and confirmation support, depend on models trained on large imaging datasets to improve accuracy and robustness. These systems handle variability in anatomy, breathing motion, and image quality, making ML/DL a crucial component behind computer vision outputs. Underscoring its essential applications, the technology is anticipated to dominate. Additionally, continuous upgrades and new product launches, particularly in this segment, reinforce robust growth.
In terms of application, the market is divided into navigation & guidance, biopsy targeting & lesion detection, real-time anatomical mapping, performance assessment & training, and others
The navigation & guidance segment is anticipated to account for the largest market share. The applications overcome one of the challenging factors associated with traditional bronchoscopy. AI integration in bronchoscopy helps reliably reach small, peripheral lung nodules and reduces repeat procedures by better targeting. This application is directly tied to procedure success and throughput; providers prioritize navigation-enabled solutions over other applications. To meet this high demand, key companies are directing their resources toward research and development to support these navigation and guidelines applications.
By end user, the market is divided into hospitals & ASCs, specialty clinics, academic & research institutes, and others.
Hospitals and ASCs are estimated to account for a leading market share. AI bronchoscopy is primarily used in these settings. Also, these settings are equipped with advanced imaging infrastructure, anesthesia support, and interventional pulmonology expertise. These sites also have stronger budgets and can build end-to-end lung nodule pathways. These factors increase utilization and ROI, prompting their significant market share. Furthermore, strategic collaboration among these solution providers and hospitals drives growth in the segment.
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By region, the market is categorized into Europe, North America, Asia Pacific, Latin America, and the Middle East & Africa.
North America accounted for approximately 42.0 % of the global AI in bronchoscopy market in 2025.
The strong growth in North America is driven by the increasing prevalence of lung cancer and the growing preference for minimally invasive procedures. These factors also increase demand for AI-enabled navigation, targeting support, and real-time mapping during bronchoscopy. Hospitals in the region also have stronger access to advanced imaging and interventional pulmonology programs, robotic/navigational bronchoscopy, robust healthcare infrastructure, and software and service pull-through. Emphasizing these factors, key companies are also advancing their offerings through strategic partnerships and boosting market growth.
Europe is expected to grow at a significant CAGR during the forecast period. The region's growth is driven by increased standardization in health systems to reduce variability. These factors have made AI-enabled bronchoscopy attractive for consistent navigation and targeting. Additionally, favorable government regulations and strategic partnerships expand distribution and access and reduce option friction, boosting the market growth.
Asia Pacific is expected to grow at a stable CAGR during the forecast period. The region's growth is driven by healthcare providers' increased investment in technologies that aid early lung cancer diagnosis. It also helps manage high patient volumes. As leading hospitals adopt these platforms, they create reference sites, accelerating broader regional adoption and training. This builds a pipeline of new program launches in emerging economies, rising demand for AI software upgrades, and integration services.
The global AI in bronchoscopy market is consolidated, with a few players capturing a significant market share.
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