Global Lung Nodule CT Imaging Detection Software Market Research Report 2024

Publication ID:

PB509248463

Publication Date:

September 11, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Medical Devices [2]

Pharma & Healthcare [3]

Description:

Lung nodule CT imaging detection software uses artificial intelligence to automatically analyze CT scans, assisting doctors in identifying and evaluating the size, shape, and density of lung nodules. This software enhances the detection rate of early-stage lung cancer, reduces human error, and supports clinical decision-making, while the final diagnosis remains under the physician's discretion.
The global Lung Nodule CT Imaging Detection Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Lung Nodule CT Imaging Detection Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Lung Nodule CT Imaging Detection Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Lung Nodule CT Imaging Detection Software in Hospital is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Lung Nodule CT Imaging Detection Software include Siemens, Riverain Technologies, Deepwise, Shukun Technology, Infervision Medical, United-Imaging, Yizhun Intelligent, VoxelCloud, Fosun Aitrox, Huiying Medical, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Lung Nodule CT Imaging 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 Lung Nodule CT Imaging Detection Software.
The Lung Nodule CT Imaging Detection Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Lung Nodule CT Imaging 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 Lung Nodule CT Imaging 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.
Market Segmentation
By Company
Siemens
Riverain Technologies
Deepwise
Shukun Technology
Infervision Medical
United-Imaging
Yizhun Intelligent
VoxelCloud
Fosun Aitrox
Huiying Medical
Segment by Type
Cloud-Based
On-Premise
Segment by Application
Hospital
Clinic
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Lung Nodule CT Imaging Detection Software company 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 main companies in the market in detail, including product sales, revenue, price, 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 Market Analysis by Type
1.2.1 Global Lung Nodule CT Imaging Detection Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Lung Nodule CT Imaging Detection Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospital
1.3.3 Clinic
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Lung Nodule CT Imaging Detection Software Market Perspective (2019-2030)
2.2 Global Lung Nodule CT Imaging Detection Software Growth Trends by Region
2.2.1 Global Lung Nodule CT Imaging Detection Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Lung Nodule CT Imaging Detection Software Historic Market Size by Region (2019-2024)
2.2.3 Lung Nodule CT Imaging Detection Software Forecasted Market Size by Region (2025-2030)
2.3 Lung Nodule CT Imaging Detection Software Market Dynamics
2.3.1 Lung Nodule CT Imaging Detection Software Industry Trends
2.3.2 Lung Nodule CT Imaging Detection Software Market Drivers
2.3.3 Lung Nodule CT Imaging Detection Software Market Challenges
2.3.4 Lung Nodule CT Imaging Detection Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Lung Nodule CT Imaging Detection Software Players by Revenue
3.1.1 Global Top Lung Nodule CT Imaging Detection Software Players by Revenue (2019-2024)
3.1.2 Global Lung Nodule CT Imaging Detection Software Revenue Market Share by Players (2019-2024)
3.2 Global Lung Nodule CT Imaging Detection Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Lung Nodule CT Imaging Detection Software Revenue
3.4 Global Lung Nodule CT Imaging Detection Software Market Concentration Ratio
3.4.1 Global Lung Nodule CT Imaging Detection Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Lung Nodule CT Imaging Detection Software Revenue in 2023
3.5 Global Key Players of Lung Nodule CT Imaging Detection Software Head office and Area Served
3.6 Global Key Players of Lung Nodule CT Imaging Detection Software, Product and Application
3.7 Global Key Players of Lung Nodule CT Imaging Detection Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Lung Nodule CT Imaging Detection Software Breakdown Data by Type
4.1 Global Lung Nodule CT Imaging Detection Software Historic Market Size by Type (2019-2024)
4.2 Global Lung Nodule CT Imaging Detection Software Forecasted Market Size by Type (2025-2030)
5 Lung Nodule CT Imaging Detection Software Breakdown Data by Application
5.1 Global Lung Nodule CT Imaging Detection Software Historic Market Size by Application (2019-2024)
5.2 Global Lung Nodule CT Imaging Detection Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Lung Nodule CT Imaging Detection Software Market Size (2019-2030)
6.2 North America Lung Nodule CT Imaging Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Lung Nodule CT Imaging Detection Software Market Size by Country (2019-2024)
6.4 North America Lung Nodule CT Imaging Detection Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Lung Nodule CT Imaging Detection Software Market Size (2019-2030)
7.2 Europe Lung Nodule CT Imaging Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Lung Nodule CT Imaging Detection Software Market Size by Country (2019-2024)
7.4 Europe Lung Nodule CT Imaging Detection Software Market Size by Country (2025-2030)
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 Lung Nodule CT Imaging Detection Software Market Size (2019-2030)
8.2 Asia-Pacific Lung Nodule CT Imaging Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Lung Nodule CT Imaging Detection Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Lung Nodule CT Imaging Detection Software Market Size by Region (2025-2030)
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 Lung Nodule CT Imaging Detection Software Market Size (2019-2030)
9.2 Latin America Lung Nodule CT Imaging Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Lung Nodule CT Imaging Detection Software Market Size by Country (2019-2024)
9.4 Latin America Lung Nodule CT Imaging Detection Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Lung Nodule CT Imaging Detection Software Market Size (2019-2030)
10.2 Middle East & Africa Lung Nodule CT Imaging Detection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Lung Nodule CT Imaging Detection Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Lung Nodule CT Imaging Detection Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Siemens
11.1.1 Siemens Company Details
11.1.2 Siemens Business Overview
11.1.3 Siemens Lung Nodule CT Imaging Detection Software Introduction
11.1.4 Siemens Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.1.5 Siemens Recent Development
11.2 Riverain Technologies
11.2.1 Riverain Technologies Company Details
11.2.2 Riverain Technologies Business Overview
11.2.3 Riverain Technologies Lung Nodule CT Imaging Detection Software Introduction
11.2.4 Riverain Technologies Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.2.5 Riverain Technologies Recent Development
11.3 Deepwise
11.3.1 Deepwise Company Details
11.3.2 Deepwise Business Overview
11.3.3 Deepwise Lung Nodule CT Imaging Detection Software Introduction
11.3.4 Deepwise Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.3.5 Deepwise Recent Development
11.4 Shukun Technology
11.4.1 Shukun Technology Company Details
11.4.2 Shukun Technology Business Overview
11.4.3 Shukun Technology Lung Nodule CT Imaging Detection Software Introduction
11.4.4 Shukun Technology Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.4.5 Shukun Technology Recent Development
11.5 Infervision Medical
11.5.1 Infervision Medical Company Details
11.5.2 Infervision Medical Business Overview
11.5.3 Infervision Medical Lung Nodule CT Imaging Detection Software Introduction
11.5.4 Infervision Medical Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.5.5 Infervision Medical Recent Development
11.6 United-Imaging
11.6.1 United-Imaging Company Details
11.6.2 United-Imaging Business Overview
11.6.3 United-Imaging Lung Nodule CT Imaging Detection Software Introduction
11.6.4 United-Imaging Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.6.5 United-Imaging Recent Development
11.7 Yizhun Intelligent
11.7.1 Yizhun Intelligent Company Details
11.7.2 Yizhun Intelligent Business Overview
11.7.3 Yizhun Intelligent Lung Nodule CT Imaging Detection Software Introduction
11.7.4 Yizhun Intelligent Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.7.5 Yizhun Intelligent Recent Development
11.8 VoxelCloud
11.8.1 VoxelCloud Company Details
11.8.2 VoxelCloud Business Overview
11.8.3 VoxelCloud Lung Nodule CT Imaging Detection Software Introduction
11.8.4 VoxelCloud Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.8.5 VoxelCloud Recent Development
11.9 Fosun Aitrox
11.9.1 Fosun Aitrox Company Details
11.9.2 Fosun Aitrox Business Overview
11.9.3 Fosun Aitrox Lung Nodule CT Imaging Detection Software Introduction
11.9.4 Fosun Aitrox Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.9.5 Fosun Aitrox Recent Development
11.10 Huiying Medical
11.10.1 Huiying Medical Company Details
11.10.2 Huiying Medical Business Overview
11.10.3 Huiying Medical Lung Nodule CT Imaging Detection Software Introduction
11.10.4 Huiying Medical Revenue in Lung Nodule CT Imaging Detection Software Business (2019-2024)
11.10.5 Huiying Medical Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Siemens
Riverain Technologies
Deepwise
Shukun Technology
Infervision Medical
United-Imaging
Yizhun Intelligent
VoxelCloud
Fosun Aitrox
Huiying Medical

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