Pulmonary nodule CT image aided detection software is based on medical knowledge, combined with computer technology, image processing technology and artificial intelligence. This product belongs to artificial intelligence medical device software, based on the basic framework of deep learning technology, it can realize the automatic detection of pulmonary nodules. On the basis of ensuring that the accuracy of pulmonary nodule detection meets clinical needs, the detection efficiency is improved, the misdiagnosis rate and missed diagnosis rate are reduced, and the workload of doctors is reduced.
The global market for Pulmonary Nodule CT Image Auxiliary Detection Software was estimated to be worth US$ 292.5 million in 2023 and is forecast to a readjusted size of US$ 1048.1 million by 2030 with a CAGR of 20.0% during the forecast period 2024-2030
North American market for Pulmonary Nodule CT Image Auxiliary Detection Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Pulmonary Nodule CT Image Auxiliary Detection Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Pulmonary Nodule CT Image Auxiliary Detection Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Pulmonary Nodule CT Image Auxiliary Detection Software include Wanliyun Medical Information Technology (Beijing) Co., Ltd., Hangzhou Shenrui Bolian Technology Co., Ltd., Neusoft Medical Systems Co., Ltd., Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.), United Imaging Intelligence., Hangzhou Yitu Medical Technology Co., Ltd., Beijing Inference Technology Co., Ltd., Huiying Medical Technology (Beijing) Co., Ltd. and Yukun (Beijing) Network Technology Co., Ltd., etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Pulmonary Nodule CT Image Auxiliary Detection Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Pulmonary Nodule CT Image Auxiliary Detection Software by region & country, by Type, and by Application.
The Pulmonary Nodule CT Image Auxiliary Detection Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Pulmonary Nodule CT Image Auxiliary Detection Software.
麻豆原创 Segmentation
By Company
Wanliyun Medical Information Technology (Beijing) Co., Ltd.
Hangzhou Shenrui Bolian Technology Co., Ltd.
Neusoft Medical Systems Co., Ltd.
Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.)
United Imaging Intelligence.
Hangzhou Yitu Medical Technology Co., Ltd.
Beijing Inference Technology Co., Ltd.
Huiying Medical Technology (Beijing) Co., Ltd.
Yukun (Beijing) Network Technology Co., Ltd.
Suzhou Voxel Information Technology Co., Ltd.
Segment by Type:
Cloud Deployment
Local Deployment
Segment by Application
Hospital
Medical Center
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Pulmonary Nodule CT Image Auxiliary Detection Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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.
Chapter 4: 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.
Chapter 5: Revenue of Pulmonary Nodule CT Image Auxiliary Detection Software 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 each country in the world.
Chapter 6: Revenue of Pulmonary Nodule CT Image Auxiliary Detection Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 麻豆原创 Overview
1.1 Pulmonary Nodule CT Image Auxiliary Detection Software Product Introduction
1.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size Forecast
1.3 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Trends & Drivers
1.3.1 Pulmonary Nodule CT Image Auxiliary Detection Software Industry Trends
1.3.2 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Drivers & Opportunity
1.3.3 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Challenges
1.3.4 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Players Revenue Ranking (2023)
2.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Revenue by Company (2019-2024)
2.3 Key Companies Pulmonary Nodule CT Image Auxiliary Detection Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Pulmonary Nodule CT Image Auxiliary Detection Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Pulmonary Nodule CT Image Auxiliary Detection Software
2.6 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Competitive Analysis
2.6.1 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Pulmonary Nodule CT Image Auxiliary Detection Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Deployment
3.1.2 Local Deployment
3.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type
3.2.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, by Type (2019-2030)
3.2.3 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Hospital
4.1.2 Medical Center
4.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application
4.2.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, by Application (2019-2030)
4.2.3 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Region
5.1.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Region (2019-2024)
5.1.3 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Region (2025-2030)
5.1.4 Global Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
5.2.2 North America Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
5.3.2 Europe Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
5.4.2 Asia Pacific Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
5.5.2 South America Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value
6.3 United States
6.3.1 United States Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.3.2 United States Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.4.2 Europe Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.5.2 China Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.6.2 Japan Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.7.2 South Korea Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.8.2 Southeast Asia Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value, 2019-2030
6.9.2 India Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Pulmonary Nodule CT Image Auxiliary Detection Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Wanliyun Medical Information Technology (Beijing) Co., Ltd.
7.1.1 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Profile
7.1.2 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Main Business
7.1.3 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.1.4 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.1.5 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Recent Developments
7.2 Hangzhou Shenrui Bolian Technology Co., Ltd.
7.2.1 Hangzhou Shenrui Bolian Technology Co., Ltd. Profile
7.2.2 Hangzhou Shenrui Bolian Technology Co., Ltd. Main Business
7.2.3 Hangzhou Shenrui Bolian Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.2.4 Hangzhou Shenrui Bolian Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.2.5 Hangzhou Shenrui Bolian Technology Co., Ltd. Recent Developments
7.3 Neusoft Medical Systems Co., Ltd.
7.3.1 Neusoft Medical Systems Co., Ltd. Profile
7.3.2 Neusoft Medical Systems Co., Ltd. Main Business
7.3.3 Neusoft Medical Systems Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.3.4 Neusoft Medical Systems Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.3.5 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Recent Developments
7.4 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.)
7.4.1 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Profile
7.4.2 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Main Business
7.4.3 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.4.4 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.4.5 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Recent Developments
7.5 United Imaging Intelligence.
7.5.1 United Imaging Intelligence. Profile
7.5.2 United Imaging Intelligence. Main Business
7.5.3 United Imaging Intelligence. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.5.4 United Imaging Intelligence. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.5.5 United Imaging Intelligence. Recent Developments
7.6 Hangzhou Yitu Medical Technology Co., Ltd.
7.6.1 Hangzhou Yitu Medical Technology Co., Ltd. Profile
7.6.2 Hangzhou Yitu Medical Technology Co., Ltd. Main Business
7.6.3 Hangzhou Yitu Medical Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.6.4 Hangzhou Yitu Medical Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.6.5 Hangzhou Yitu Medical Technology Co., Ltd. Recent Developments
7.7 Beijing Inference Technology Co., Ltd.
7.7.1 Beijing Inference Technology Co., Ltd. Profile
7.7.2 Beijing Inference Technology Co., Ltd. Main Business
7.7.3 Beijing Inference Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.7.4 Beijing Inference Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.7.5 Beijing Inference Technology Co., Ltd. Recent Developments
7.8 Huiying Medical Technology (Beijing) Co., Ltd.
7.8.1 Huiying Medical Technology (Beijing) Co., Ltd. Profile
7.8.2 Huiying Medical Technology (Beijing) Co., Ltd. Main Business
7.8.3 Huiying Medical Technology (Beijing) Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.8.4 Huiying Medical Technology (Beijing) Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.8.5 Huiying Medical Technology (Beijing) Co., Ltd. Recent Developments
7.9 Yukun (Beijing) Network Technology Co., Ltd.
7.9.1 Yukun (Beijing) Network Technology Co., Ltd. Profile
7.9.2 Yukun (Beijing) Network Technology Co., Ltd. Main Business
7.9.3 Yukun (Beijing) Network Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.9.4 Yukun (Beijing) Network Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.9.5 Yukun (Beijing) Network Technology Co., Ltd. Recent Developments
7.10 Suzhou Voxel Information Technology Co., Ltd.
7.10.1 Suzhou Voxel Information Technology Co., Ltd. Profile
7.10.2 Suzhou Voxel Information Technology Co., Ltd. Main Business
7.10.3 Suzhou Voxel Information Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Products, Services and Solutions
7.10.4 Suzhou Voxel Information Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Revenue (US$ Million) & (2019-2024)
7.10.5 Suzhou Voxel Information Technology Co., Ltd. Recent Developments
8 Industry Chain Analysis
8.1 Pulmonary Nodule CT Image Auxiliary Detection Software Industrial Chain
8.2 Pulmonary Nodule CT Image Auxiliary Detection Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Pulmonary Nodule CT Image Auxiliary Detection Software Sales Model
8.5.2 Sales Channel
8.5.3 Pulmonary Nodule CT Image Auxiliary Detection Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Wanliyun Medical Information Technology (Beijing) Co., Ltd.
Hangzhou Shenrui Bolian Technology Co., Ltd.
Neusoft Medical Systems Co., Ltd.
Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.)
United Imaging Intelligence.
Hangzhou Yitu Medical Technology Co., Ltd.
Beijing Inference Technology Co., Ltd.
Huiying Medical Technology (Beijing) Co., Ltd.
Yukun (Beijing) Network Technology Co., Ltd.
Suzhou Voxel Information Technology Co., Ltd.
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*If Applicable.
