Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Research Report 2023

Publication ID:

PB501235313

Publication Date:

January 13, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
Highlights
The global Pulmonary Nodule CT Image Auxiliary Detection Software market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Pulmonary Nodule CT Image Auxiliary Detection Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Pulmonary Nodule CT Image Auxiliary Detection Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Pulmonary Nodule CT Image Auxiliary Detection Software in Hospital is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global 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 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Pulmonary Nodule CT Image Auxiliary Detection Software, 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.
The Pulmonary Nodule CT Image Auxiliary Detection Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Pulmonary Nodule CT Image Auxiliary Detection Software market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Pulmonary Nodule CT Image Auxiliary Detection Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Pulmonary Nodule CT Image Auxiliary Detection Software companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 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.
Chapter 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.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud Deployment
1.2.3 Local Deployment
1.3 麻豆原创 by Application
1.3.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Hospital
1.3.3 Medical Center
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Perspective (2018-2029)
2.2 Pulmonary Nodule CT Image Auxiliary Detection Software Growth Trends by Region
2.2.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 Pulmonary Nodule CT Image Auxiliary Detection Software Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 Pulmonary Nodule CT Image Auxiliary Detection Software Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Dynamics
2.3.1 Pulmonary Nodule CT Image Auxiliary Detection Software Industry Trends
2.3.2 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Drivers
2.3.3 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Challenges
2.3.4 Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Pulmonary Nodule CT Image Auxiliary Detection Software Players by Revenue
3.1.1 Global Top Pulmonary Nodule CT Image Auxiliary Detection Software Players by Revenue (2018-2023)
3.1.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Pulmonary Nodule CT Image Auxiliary Detection Software Revenue
3.4 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Concentration Ratio
3.4.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Pulmonary Nodule CT Image Auxiliary Detection Software Revenue in 2022
3.5 Pulmonary Nodule CT Image Auxiliary Detection Software Key Players Head office and Area Served
3.6 Key Players Pulmonary Nodule CT Image Auxiliary Detection Software Product Solution and Service
3.7 Date of Enter into Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Pulmonary Nodule CT Image Auxiliary Detection Software Breakdown Data by Type
4.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Forecasted 麻豆原创 Size by Type (2024-2029)
5 Pulmonary Nodule CT Image Auxiliary Detection Software Breakdown Data by Application
5.1 Global Pulmonary Nodule CT Image Auxiliary Detection Software Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global Pulmonary Nodule CT Image Auxiliary Detection Software Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size (2018-2029)
6.2 North America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2018-2023)
6.4 North America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size (2018-2029)
7.2 Europe Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2018-2023)
7.4 Europe Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size (2018-2029)
9.2 Latin America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2018-2023)
9.4 Latin America Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa Pulmonary Nodule CT Image Auxiliary Detection Software 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Wanliyun Medical Information Technology (Beijing) Co., Ltd.
11.1.1 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Company Detail
11.1.2 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Business Overview
11.1.3 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.1.4 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.1.5 Wanliyun Medical Information Technology (Beijing) Co., Ltd. Recent Development
11.2 Hangzhou Shenrui Bolian Technology Co., Ltd.
11.2.1 Hangzhou Shenrui Bolian Technology Co., Ltd. Company Detail
11.2.2 Hangzhou Shenrui Bolian Technology Co., Ltd. Business Overview
11.2.3 Hangzhou Shenrui Bolian Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.2.4 Hangzhou Shenrui Bolian Technology Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.2.5 Hangzhou Shenrui Bolian Technology Co., Ltd. Recent Development
11.3 Neusoft Medical Systems Co., Ltd.
11.3.1 Neusoft Medical Systems Co., Ltd. Company Detail
11.3.2 Neusoft Medical Systems Co., Ltd. Business Overview
11.3.3 Neusoft Medical Systems Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.3.4 Neusoft Medical Systems Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.3.5 Neusoft Medical Systems Co., Ltd. Recent Development
11.4 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.)
11.4.1 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Company Detail
11.4.2 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Business Overview
11.4.3 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.4.4 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.4.5 Shanghai Fosun Pharmaceutical Group (Shanghai Xingmai Information Technology Co., Ltd.) Recent Development
11.5 United Imaging Intelligence.
11.5.1 United Imaging Intelligence. Company Detail
11.5.2 United Imaging Intelligence. Business Overview
11.5.3 United Imaging Intelligence. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.5.4 United Imaging Intelligence. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.5.5 United Imaging Intelligence. Recent Development
11.6 Hangzhou Yitu Medical Technology Co., Ltd.
11.6.1 Hangzhou Yitu Medical Technology Co., Ltd. Company Detail
11.6.2 Hangzhou Yitu Medical Technology Co., Ltd. Business Overview
11.6.3 Hangzhou Yitu Medical Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.6.4 Hangzhou Yitu Medical Technology Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.6.5 Hangzhou Yitu Medical Technology Co., Ltd. Recent Development
11.7 Beijing Inference Technology Co., Ltd.
11.7.1 Beijing Inference Technology Co., Ltd. Company Detail
11.7.2 Beijing Inference Technology Co., Ltd. Business Overview
11.7.3 Beijing Inference Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.7.4 Beijing Inference Technology Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.7.5 Beijing Inference Technology Co., Ltd. Recent Development
11.8 Huiying Medical Technology (Beijing) Co., Ltd.
11.8.1 Huiying Medical Technology (Beijing) Co., Ltd. Company Detail
11.8.2 Huiying Medical Technology (Beijing) Co., Ltd. Business Overview
11.8.3 Huiying Medical Technology (Beijing) Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.8.4 Huiying Medical Technology (Beijing) Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.8.5 Huiying Medical Technology (Beijing) Co., Ltd. Recent Development
11.9 Yukun (Beijing) Network Technology Co., Ltd.
11.9.1 Yukun (Beijing) Network Technology Co., Ltd. Company Detail
11.9.2 Yukun (Beijing) Network Technology Co., Ltd. Business Overview
11.9.3 Yukun (Beijing) Network Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.9.4 Yukun (Beijing) Network Technology Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.9.5 Yukun (Beijing) Network Technology Co., Ltd. Recent Development
11.10 Suzhou Voxel Information Technology Co., Ltd.
11.10.1 Suzhou Voxel Information Technology Co., Ltd. Company Detail
11.10.2 Suzhou Voxel Information Technology Co., Ltd. Business Overview
11.10.3 Suzhou Voxel Information Technology Co., Ltd. Pulmonary Nodule CT Image Auxiliary Detection Software Introduction
11.10.4 Suzhou Voxel Information Technology Co., Ltd. Revenue in Pulmonary Nodule CT Image Auxiliary Detection Software Business (2018-2023)
11.10.5 Suzhou Voxel Information Technology Co., Ltd. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

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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