Global AI Medical Imaging Software for Lung Diseases Market Outlook and Growth Opportunities 2025

Summary

According to APO Research, the global AI Medical Imaging Software for Lung Diseases market is projected to grow from US$ million in 2025 to US$ million by 2031, at a compound annual growth rate (CAGR) of % during the forecast period.

The North American market for AI Medical Imaging Software for Lung Diseases is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % from 2025 through 2031.

The Asia-Pacific market for AI Medical Imaging Software for Lung Diseases is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

In China, the AI Medical Imaging Software for Lung Diseases market is expected to rise from $ million to $ million by 2031, at a CAGR of I% from 2025 through 2031.

The Europe market for AI Medical Imaging Software for Lung Diseases is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Major global companies in the AI Medical Imaging Software for Lung Diseases market include Riverain Technologies, BioMind, Fosun Aitrox, Huiying Medical, United-Imaging, Deepwise, Shukun Technology, VoxelCloud and Infervision Medical, etc. In 2024, the top three vendors accounted for approximately % of the market revenue.

This report presents an overview of global market for AI Medical Imaging Software for Lung Diseases, revenue and gross margin. Analyses of the global market trends, with historic market revenue for 2020 - 2024, estimates for 2025, and projections of CAGR through 2031.

This report researches the key producers of AI Medical Imaging Software for Lung Diseases, also provides the value of main regions and countries. Of the upcoming market potential for AI Medical Imaging Software for Lung Diseases, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the AI Medical Imaging Software for Lung Diseases revenue, market share and industry ranking of main companies, data from 2020 to 2025. Identification of the major stakeholders in the global AI Medical Imaging Software for Lung Diseases market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
All companies have demonstrated varying levels of sales growth and profitability over the past six years, while some companies have experienced consistent growth, others have shown fluctuations in performance. The overall trend suggests a positive outlook for the global AI Medical Imaging Software for Lung Diseases company landscape, with companies adapting to market dynamics and maintaining profitability amidst changing conditions.
AI Medical Imaging Software for Lung Diseases Segment by Company

Riverain Technologies
BioMind
Fosun Aitrox
Huiying Medical
United-Imaging
Deepwise
Shukun Technology
VoxelCloud
Infervision Medical
Siemens
Yizhun Intelligent
AI Medical Imaging Software for Lung Diseases Segment by Type

Pulmonary Nodules
Pneumonia
Other
AI Medical Imaging Software for Lung Diseases Segment by Application

Hospital
Clinic
AI Medical Imaging Software for Lung Diseases Segment by Region

North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries

Study Objectives

1. To analyze and research the global AI Medical Imaging Software for Lung Diseases status and future forecast, involving, revenue, growth rate (CAGR), market share, historical and forecast.
2. To present the AI Medical Imaging Software for Lung Diseases key companies, revenue, market share, and recent developments.
3. To split the AI Medical Imaging Software for Lung Diseases breakdown data by regions, type, companies, and application.
4. To analyze the global and key regions AI Medical Imaging Software for Lung Diseases market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify AI Medical Imaging Software for Lung Diseases significant trends, drivers, influence factors in global and regions.
6. To analyze AI Medical Imaging Software for Lung Diseases competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

Reasons to Buy This Report

1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI Medical Imaging Software for Lung Diseases market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI Medical Imaging Software for Lung Diseases and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in sales and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI Medical Imaging Software for Lung Diseases.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.

Chapter Outline

1: Introduces the report scope of the report, global total market size.
2: Analysis key trends, drivers, challenges, and opportunities within the global AI Medical Imaging Software for Lung Diseases industry.
3: Detailed analysis of AI Medical Imaging Software for Lung Diseases company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
6: Sales value of AI Medical Imaging Software for Lung Diseases in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of key country in the world.
7: Sales value of AI Medical Imaging Software for Lung Diseases in country level. It provides sigmate data by type, and by application for each country/region.
8: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
9: Concluding Insights.

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