Global Imaging AI Software Market Research Report 2023

Publication ID:

PB503241994

Publication Date:

March 7, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Highlights
The global Imaging AI 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 Imaging AI 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 Imaging AI 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 Imaging AI Software in Cardiovascular 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 Imaging AI Software include Microsoft, Amazon, Google, Intel, Syte.ai, Dataloop, Clarifai, Nvidia and SuperAnnotate, 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 Imaging AI 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 Imaging AI Software.
The Imaging AI 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 Imaging AI 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 Imaging AI 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
Microsoft
Amazon
Google
Intel
Syte.ai
Dataloop
Clarifai
Nvidia
SuperAnnotate
Vue.ai
Segment by Type
X-Rays
CT Scans
Others
Segment by Application
Cardiovascular
Neurology
Lung
Breast
Oncology
Pathology
Liver
Oral Diagnostics
Others
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 Imaging AI 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 Market Analysis by Type
1.2.1 Global Imaging AI Software Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 X-Rays
1.2.3 CT Scans
1.2.4 Others
1.3 Market by Application
1.3.1 Global Imaging AI Software Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Cardiovascular
1.3.3 Neurology
1.3.4 Lung
1.3.5 Breast
1.3.6 Oncology
1.3.7 Pathology
1.3.8 Liver
1.3.9 Oral Diagnostics
1.3.10 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Imaging AI Software Market Perspective (2018-2029)
2.2 Imaging AI Software Growth Trends by Region
2.2.1 Global Imaging AI Software Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Imaging AI Software Historic Market Size by Region (2018-2023)
2.2.3 Imaging AI Software Forecasted Market Size by Region (2024-2029)
2.3 Imaging AI Software Market Dynamics
2.3.1 Imaging AI Software Industry Trends
2.3.2 Imaging AI Software Market Drivers
2.3.3 Imaging AI Software Market Challenges
2.3.4 Imaging AI Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Imaging AI Software Players by Revenue
3.1.1 Global Top Imaging AI Software Players by Revenue (2018-2023)
3.1.2 Global Imaging AI Software Revenue Market Share by Players (2018-2023)
3.2 Global Imaging AI Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Imaging AI Software Revenue
3.4 Global Imaging AI Software Market Concentration Ratio
3.4.1 Global Imaging AI Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Imaging AI Software Revenue in 2022
3.5 Imaging AI Software Key Players Head office and Area Served
3.6 Key Players Imaging AI Software Product Solution and Service
3.7 Date of Enter into Imaging AI Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Imaging AI Software Breakdown Data by Type
4.1 Global Imaging AI Software Historic Market Size by Type (2018-2023)
4.2 Global Imaging AI Software Forecasted Market Size by Type (2024-2029)
5 Imaging AI Software Breakdown Data by Application
5.1 Global Imaging AI Software Historic Market Size by Application (2018-2023)
5.2 Global Imaging AI Software Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Imaging AI Software Market Size (2018-2029)
6.2 North America Imaging AI Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Imaging AI Software Market Size by Country (2018-2023)
6.4 North America Imaging AI Software Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Imaging AI Software Market Size (2018-2029)
7.2 Europe Imaging AI Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Imaging AI Software Market Size by Country (2018-2023)
7.4 Europe Imaging AI Software 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 Imaging AI Software Market Size (2018-2029)
8.2 Asia-Pacific Imaging AI Software Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Imaging AI Software Market Size by Region (2018-2023)
8.4 Asia-Pacific Imaging AI Software 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 Imaging AI Software Market Size (2018-2029)
9.2 Latin America Imaging AI Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Imaging AI Software Market Size by Country (2018-2023)
9.4 Latin America Imaging AI Software Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Imaging AI Software Market Size (2018-2029)
10.2 Middle East & Africa Imaging AI Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Imaging AI Software Market Size by Country (2018-2023)
10.4 Middle East & Africa Imaging AI Software Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Imaging AI Software Introduction
11.1.4 Microsoft Revenue in Imaging AI Software Business (2018-2023)
11.1.5 Microsoft Recent Development
11.2 Amazon
11.2.1 Amazon Company Detail
11.2.2 Amazon Business Overview
11.2.3 Amazon Imaging AI Software Introduction
11.2.4 Amazon Revenue in Imaging AI Software Business (2018-2023)
11.2.5 Amazon Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Imaging AI Software Introduction
11.3.4 Google Revenue in Imaging AI Software Business (2018-2023)
11.3.5 Google Recent Development
11.4 Intel
11.4.1 Intel Company Detail
11.4.2 Intel Business Overview
11.4.3 Intel Imaging AI Software Introduction
11.4.4 Intel Revenue in Imaging AI Software Business (2018-2023)
11.4.5 Intel Recent Development
11.5 Syte.ai
11.5.1 Syte.ai Company Detail
11.5.2 Syte.ai Business Overview
11.5.3 Syte.ai Imaging AI Software Introduction
11.5.4 Syte.ai Revenue in Imaging AI Software Business (2018-2023)
11.5.5 Syte.ai Recent Development
11.6 Dataloop
11.6.1 Dataloop Company Detail
11.6.2 Dataloop Business Overview
11.6.3 Dataloop Imaging AI Software Introduction
11.6.4 Dataloop Revenue in Imaging AI Software Business (2018-2023)
11.6.5 Dataloop Recent Development
11.7 Clarifai
11.7.1 Clarifai Company Detail
11.7.2 Clarifai Business Overview
11.7.3 Clarifai Imaging AI Software Introduction
11.7.4 Clarifai Revenue in Imaging AI Software Business (2018-2023)
11.7.5 Clarifai Recent Development
11.8 Nvidia
11.8.1 Nvidia Company Detail
11.8.2 Nvidia Business Overview
11.8.3 Nvidia Imaging AI Software Introduction
11.8.4 Nvidia Revenue in Imaging AI Software Business (2018-2023)
11.8.5 Nvidia Recent Development
11.9 SuperAnnotate
11.9.1 SuperAnnotate Company Detail
11.9.2 SuperAnnotate Business Overview
11.9.3 SuperAnnotate Imaging AI Software Introduction
11.9.4 SuperAnnotate Revenue in Imaging AI Software Business (2018-2023)
11.9.5 SuperAnnotate Recent Development
11.10 Vue.ai
11.10.1 Vue.ai Company Detail
11.10.2 Vue.ai Business Overview
11.10.3 Vue.ai Imaging AI Software Introduction
11.10.4 Vue.ai Revenue in Imaging AI Software Business (2018-2023)
11.10.5 Vue.ai 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:

Microsoft
Amazon
Google
Intel
Syte.ai
Dataloop
Clarifai
Nvidia
SuperAnnotate
Vue.ai

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