According to our (Global Info Research) latest study, the global AI Lung Screening System market size was valued at US$ 346 million in 2025 and is forecast to a readjusted size of US$ 763 million by 2032 with a CAGR of 11.9% during review period.
AI Lung Screening System is an integrated software-driven solution that supports early detection and risk stratification of lung cancer—primarily by analyzing low-dose CT (LDCT) scans in screening or incidental nodule workflows. The system typically performs automated lung nodule detection, segmentation, volumetry, growth tracking, malignancy risk scoring, and structured reporting, aiming to reduce radiologist workload, improve consistency, and standardize follow-up recommendations. In practice, it functions as a clinical decision support layer within radiology operations: it flags suspicious findings, prioritizes worklists, and helps quantify change over time. Commercially, “system” usually refers to a deployable product package (software + workflow integration + validation/regulatory package), rather than an algorithm alone, and is increasingly delivered as a platform with continuous model updates, audit trails, and performance monitoring.
From a multi-angle segmentation standpoint, the market can be parameterized by: (1) Clinical scenario: population LDCT screening vs incidental pulmonary nodules; (2) Algorithmic functions: detection-only, detection+volumetry, full risk scoring (e.g., malignancy probability), and longitudinal tracking; (3) Deployment: on-premise server, private cloud, public cloud/SaaS, or hybrid; (4) Integration depth: standalone viewer vs PACS/RIS embedded workflow with structured reporting; (5) Regulatory class & claims: CAD support vs triage vs quantified decision support. Additional quantitative “type” parameters include supported CT slice thickness, acceptable dose range, nodule size range (e.g., ≥3 mm), sensitivity at fixed false-positive rates, throughput (studies/hour), and interoperability standards (DICOM, HL7/FHIR).
In transaction terms, pricing commonly follows (a) annual subscription per site, (b) per-scan fee, or (c) enterprise license tied to volume tiers, with separate charges for integration, validation support, and service-level agreements. Procurement often runs through hospital IT/security reviews and radiology leadership, with pilots (3–6 months) preceding multi-year contracts. Key trends include tighter workflow embedding (worklist triage + structured reporting), expansion from single-task CAD to end-to-end nodule management, growing emphasis on generalizability and bias control across scanners and populations, and integration of multimodal data (clinical risk factors, prior imaging) to improve risk stratification. As screening volumes rise and radiologist shortages persist, vendors that can prove reduced recall burden, stable false-positive control, and seamless integration are best positioned for durable share gains.
This report is a detailed and comprehensive analysis for global AI Lung Screening System market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Lung Screening System market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Lung Screening System market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Lung Screening System market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI Lung Screening System market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Lung Screening System
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Lung Screening System market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Lunit, Aidoc, VUNO, Inc., Riverain Technologies, LLC, Viz.ai, RapidAI, Enlitic, ANNALISE-AI PTY LTD, INFERVISION TECHNOLOGY, Lianying Intelligent Medical Technology, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Lung Screening System market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Lung Cancer Early Screening
Pulmonary Nodule Detection & Tracking
High-Risk Population Screening
Incidental Lung Finding Screening
Others
Market segment by Imaging Modality & Data Source
LDCT-based Screening System
Standard Chest CT AI System
Others
Market segment by Deployment & Integration Model
On-premise
Private Cloud (Hospital-owned Cloud)
Public Cloud / SaaS
Others
Market segment by Application
Medical Institutions
Great Health Scene
Market segment by players, this report covers
Lunit
Aidoc
VUNO, Inc.
Riverain Technologies, LLC
Viz.ai
RapidAI
Enlitic
ANNALISE-AI PTY LTD
INFERVISION TECHNOLOGY
Lianying Intelligent Medical Technology
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Lung Screening System product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Lung Screening System, with revenue, gross margin, and global market share of AI Lung Screening System from 2021 to 2026.
Chapter 3, the AI Lung Screening System competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Lung Screening System market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Lung Screening System.
Chapter 13, to describe AI Lung Screening System research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Lung Screening System. Industry analysis & Market Report on AI Lung Screening System is a syndicated market report, published as Global AI Lung Screening System Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Lung Screening System market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.