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Global Ophthalmology AI-assisted Diagnosis Software Market Research Report 2024
Synopsis
Global Ophthalmology AI-assisted Diagnosis Software market is projected to reach US$ 27 million in 2029, increasing from US$ 13 million in 2022, with the CAGR of 6.4% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Ophthalmology AI-assisted Diagnosis Software market research.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Ophthalmology AI-assisted Diagnosis Software market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Acer Medical
NEXT SIGHT SRL
ARDA
RetInSight
Thirona
Ophtai
Aiforia
Topcon Healthcare
Segment by Type
Ophthalmology Diagnosis
Pathological Analysis
Segment by Application
Hospital
Ambulatory Surgery 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
The Ophthalmology AI-assisted Diagnosis Software report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Global Ophthalmology AI-assisted Diagnosis Software market is projected to reach US$ 27 million in 2029, increasing from US$ 13 million in 2022, with the CAGR of 6.4% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Ophthalmology AI-assisted Diagnosis Software market research.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Ophthalmology AI-assisted Diagnosis Software market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Acer Medical
NEXT SIGHT SRL
ARDA
RetInSight
Thirona
Ophtai
Aiforia
Topcon Healthcare
Segment by Type
Ophthalmology Diagnosis
Pathological Analysis
Segment by Application
Hospital
Ambulatory Surgery 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
The Ophthalmology AI-assisted Diagnosis Software report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Ophthalmology AI-assisted Diagnosis Software Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Ophthalmology Diagnosis
1.2.3 Pathological Analysis
1.3 Market by Application
1.3.1 Global Ophthalmology AI-assisted Diagnosis Software Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Hospital
1.3.3 Ambulatory Surgery Center
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Ophthalmology AI-assisted Diagnosis Software Market Perspective (2018-2029)
2.2 Ophthalmology AI-assisted Diagnosis Software Growth Trends by Region
2.2.1 Global Ophthalmology AI-assisted Diagnosis Software Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Ophthalmology AI-assisted Diagnosis Software Historic Market Size by Region (2018-2023)
2.2.3 Ophthalmology AI-assisted Diagnosis Software Forecasted Market Size by Region (2024-2029)
2.3 Ophthalmology AI-assisted Diagnosis Software Market Dynamics
2.3.1 Ophthalmology AI-assisted Diagnosis Software Industry Trends
2.3.2 Ophthalmology AI-assisted Diagnosis Software Market Drivers
2.3.3 Ophthalmology AI-assisted Diagnosis Software Market Challenges
2.3.4 Ophthalmology AI-assisted Diagnosis Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Ophthalmology AI-assisted Diagnosis Software Players by Revenue
3.1.1 Global Top Ophthalmology AI-assisted Diagnosis Software Players by Revenue (2018-2023)
3.1.2 Global Ophthalmology AI-assisted Diagnosis Software Revenue Market Share by Players (2018-2023)
3.2 Global Ophthalmology AI-assisted Diagnosis Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Ophthalmology AI-assisted Diagnosis Software Revenue
3.4 Global Ophthalmology AI-assisted Diagnosis Software Market Concentration Ratio
3.4.1 Global Ophthalmology AI-assisted Diagnosis Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Ophthalmology AI-assisted Diagnosis Software Revenue in 2022
3.5 Ophthalmology AI-assisted Diagnosis Software Key Players Head office and Area Served
3.6 Key Players Ophthalmology AI-assisted Diagnosis Software Product Solution and Service
3.7 Date of Enter into Ophthalmology AI-assisted Diagnosis Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Ophthalmology AI-assisted Diagnosis Software Breakdown Data by Type
4.1 Global Ophthalmology AI-assisted Diagnosis Software Historic Market Size by Type (2018-2023)
4.2 Global Ophthalmology AI-assisted Diagnosis Software Forecasted Market Size by Type (2024-2029)
5 Ophthalmology AI-assisted Diagnosis Software Breakdown Data by Application
5.1 Global Ophthalmology AI-assisted Diagnosis Software Historic Market Size by Application (2018-2023)
5.2 Global Ophthalmology AI-assisted Diagnosis Software Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Ophthalmology AI-assisted Diagnosis Software Market Size (2018-2029)
6.2 North America Ophthalmology AI-assisted Diagnosis Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2018-2023)
6.4 North America Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Ophthalmology AI-assisted Diagnosis Software Market Size (2018-2029)
7.2 Europe Ophthalmology AI-assisted Diagnosis Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2018-2023)
7.4 Europe Ophthalmology AI-assisted Diagnosis 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 Ophthalmology AI-assisted Diagnosis Software Market Size (2018-2029)
8.2 Asia-Pacific Ophthalmology AI-assisted Diagnosis Software Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Ophthalmology AI-assisted Diagnosis Software Market Size by Region (2018-2023)
8.4 Asia-Pacific Ophthalmology AI-assisted Diagnosis 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 Ophthalmology AI-assisted Diagnosis Software Market Size (2018-2029)
9.2 Latin America Ophthalmology AI-assisted Diagnosis Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2018-2023)
9.4 Latin America Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Ophthalmology AI-assisted Diagnosis Software Market Size (2018-2029)
10.2 Middle East & Africa Ophthalmology AI-assisted Diagnosis Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2018-2023)
10.4 Middle East & Africa Ophthalmology AI-assisted Diagnosis Software Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Acer Medical
11.1.1 Acer Medical Company Detail
11.1.2 Acer Medical Business Overview
11.1.3 Acer Medical Ophthalmology AI-assisted Diagnosis Software Introduction
11.1.4 Acer Medical Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.1.5 Acer Medical Recent Development
11.2 NEXT SIGHT SRL
11.2.1 NEXT SIGHT SRL Company Detail
11.2.2 NEXT SIGHT SRL Business Overview
11.2.3 NEXT SIGHT SRL Ophthalmology AI-assisted Diagnosis Software Introduction
11.2.4 NEXT SIGHT SRL Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.2.5 NEXT SIGHT SRL Recent Development
11.3 ARDA
11.3.1 ARDA Company Detail
11.3.2 ARDA Business Overview
11.3.3 ARDA Ophthalmology AI-assisted Diagnosis Software Introduction
11.3.4 ARDA Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.3.5 ARDA Recent Development
11.4 RetInSight
11.4.1 RetInSight Company Detail
11.4.2 RetInSight Business Overview
11.4.3 RetInSight Ophthalmology AI-assisted Diagnosis Software Introduction
11.4.4 RetInSight Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.4.5 RetInSight Recent Development
11.5 Thirona
11.5.1 Thirona Company Detail
11.5.2 Thirona Business Overview
11.5.3 Thirona Ophthalmology AI-assisted Diagnosis Software Introduction
11.5.4 Thirona Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.5.5 Thirona Recent Development
11.6 Ophtai
11.6.1 Ophtai Company Detail
11.6.2 Ophtai Business Overview
11.6.3 Ophtai Ophthalmology AI-assisted Diagnosis Software Introduction
11.6.4 Ophtai Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.6.5 Ophtai Recent Development
11.7 Aiforia
11.7.1 Aiforia Company Detail
11.7.2 Aiforia Business Overview
11.7.3 Aiforia Ophthalmology AI-assisted Diagnosis Software Introduction
11.7.4 Aiforia Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.7.5 Aiforia Recent Development
11.8 Topcon Healthcare
11.8.1 Topcon Healthcare Company Detail
11.8.2 Topcon Healthcare Business Overview
11.8.3 Topcon Healthcare Ophthalmology AI-assisted Diagnosis Software Introduction
11.8.4 Topcon Healthcare Revenue in Ophthalmology AI-assisted Diagnosis Software Business (2018-2023)
11.8.5 Topcon Healthcare 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
Published By : QY Research
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