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Global Artificial Intelligence In Mammography Market Research Report 2023

This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Mammography, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the

Region : 092013017014 | Price: 2900 | Report ID: 092013017014
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Mammography, 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 Artificial Intelligence in Mammography.
The Artificial Intelligence in Mammography 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 Artificial Intelligence in Mammography 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 Artificial Intelligence in Mammography 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
GE
Intel
IBM
Google
CureMetrix
Densitas
QView Medical
iCAD Inc.
Philips
Amazon
Siemens
NVIDIA Corporation
Bayer
Fujifilm
Segment by Type
Cloud Based
On-Premise
Segment by Application
Hospital
Biomedical Company
Academic Institution
Other
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 Artificial Intelligence in Mammography companiesí 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.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in Mammography Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Artificial Intelligence in Mammography Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Hospital
1.3.3 Biomedical Company
1.3.4 Academic Institution
1.3.5 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Mammography Market Perspective (2018-2029)
2.2 Artificial Intelligence in Mammography Growth Trends by Region
2.2.1 Global Artificial Intelligence in Mammography Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence in Mammography Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence in Mammography Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence in Mammography Market Dynamics
2.3.1 Artificial Intelligence in Mammography Industry Trends
2.3.2 Artificial Intelligence in Mammography Market Drivers
2.3.3 Artificial Intelligence in Mammography Market Challenges
2.3.4 Artificial Intelligence in Mammography Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in Mammography Players by Revenue
3.1.1 Global Top Artificial Intelligence in Mammography Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence in Mammography Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence in Mammography Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in Mammography Revenue
3.4 Global Artificial Intelligence in Mammography Market Concentration Ratio
3.4.1 Global Artificial Intelligence in Mammography Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Mammography Revenue in 2022
3.5 Artificial Intelligence in Mammography Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Mammography Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Mammography Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Mammography Breakdown Data by Type
4.1 Global Artificial Intelligence in Mammography Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence in Mammography Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence in Mammography Breakdown Data by Application
5.1 Global Artificial Intelligence in Mammography Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence in Mammography Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence in Mammography Market Size (2018-2029)
6.2 North America Artificial Intelligence in Mammography Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence in Mammography Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence in Mammography Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Mammography Market Size (2018-2029)
7.2 Europe Artificial Intelligence in Mammography Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence in Mammography Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence in Mammography Market 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 Artificial Intelligence in Mammography Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence in Mammography Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence in Mammography Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence in Mammography Market 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 Artificial Intelligence in Mammography Market Size (2018-2029)
9.2 Latin America Artificial Intelligence in Mammography Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence in Mammography Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence in Mammography Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Mammography Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence in Mammography Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence in Mammography Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence in Mammography Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 GE
11.1.1 GE Company Detail
11.1.2 GE Business Overview
11.1.3 GE Artificial Intelligence in Mammography Introduction
11.1.4 GE Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.1.5 GE Recent Development
11.2 Intel
11.2.1 Intel Company Detail
11.2.2 Intel Business Overview
11.2.3 Intel Artificial Intelligence in Mammography Introduction
11.2.4 Intel Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.2.5 Intel Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Artificial Intelligence in Mammography Introduction
11.3.4 IBM Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.3.5 IBM Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google Artificial Intelligence in Mammography Introduction
11.4.4 Google Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.4.5 Google Recent Development
11.5 CureMetrix
11.5.1 CureMetrix Company Detail
11.5.2 CureMetrix Business Overview
11.5.3 CureMetrix Artificial Intelligence in Mammography Introduction
11.5.4 CureMetrix Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.5.5 CureMetrix Recent Development
11.6 Densitas
11.6.1 Densitas Company Detail
11.6.2 Densitas Business Overview
11.6.3 Densitas Artificial Intelligence in Mammography Introduction
11.6.4 Densitas Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.6.5 Densitas Recent Development
11.7 QView Medical
11.7.1 QView Medical Company Detail
11.7.2 QView Medical Business Overview
11.7.3 QView Medical Artificial Intelligence in Mammography Introduction
11.7.4 QView Medical Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.7.5 QView Medical Recent Development
11.8 iCAD Inc.
11.8.1 iCAD Inc. Company Detail
11.8.2 iCAD Inc. Business Overview
11.8.3 iCAD Inc. Artificial Intelligence in Mammography Introduction
11.8.4 iCAD Inc. Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.8.5 iCAD Inc. Recent Development
11.9 Philips
11.9.1 Philips Company Detail
11.9.2 Philips Business Overview
11.9.3 Philips Artificial Intelligence in Mammography Introduction
11.9.4 Philips Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.9.5 Philips Recent Development
11.10 Amazon
11.10.1 Amazon Company Detail
11.10.2 Amazon Business Overview
11.10.3 Amazon Artificial Intelligence in Mammography Introduction
11.10.4 Amazon Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.10.5 Amazon Recent Development
11.11 Siemens
11.11.1 Siemens Company Detail
11.11.2 Siemens Business Overview
11.11.3 Siemens Artificial Intelligence in Mammography Introduction
11.11.4 Siemens Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.11.5 Siemens Recent Development
11.12 NVIDIA Corporation
11.12.1 NVIDIA Corporation Company Detail
11.12.2 NVIDIA Corporation Business Overview
11.12.3 NVIDIA Corporation Artificial Intelligence in Mammography Introduction
11.12.4 NVIDIA Corporation Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.12.5 NVIDIA Corporation Recent Development
11.13 Bayer
11.13.1 Bayer Company Detail
11.13.2 Bayer Business Overview
11.13.3 Bayer Artificial Intelligence in Mammography Introduction
11.13.4 Bayer Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.13.5 Bayer Recent Development
11.14 Fujifilm
11.14.1 Fujifilm Company Detail
11.14.2 Fujifilm Business Overview
11.14.3 Fujifilm Artificial Intelligence in Mammography Introduction
11.14.4 Fujifilm Revenue in Artificial Intelligence in Mammography Business (2018-2023)
11.14.5 Fujifilm 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

 

Research Methodology

 

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analysing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.