The report on the global AI-enabled imaging solutions market provides qualitative and quantitative analysis for the period from 2021-2030. The revenue generated by the AI-enabled imaging solutions market was USD 1906.95 million in 2022 and is expected to be USD 10912.78 million in 2030 and is expected to grow with a CAGR of 21.25% over the forecast period 2022-2030. The study on AI-enabled imaging solutions market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2021-2030.
AI-enabled medical imaging solutions focus on the development, implementation, and commercialization of Artificial Intelligence (AI) technologies in the field of imaging. These solutions harness the power of AI and machine learning to enhance image processing, analysis, and interpretation across various industries and applications. AI-enabled imaging solutions are designed to improve image quality, remove noise, enhance details, and correct imperfections. This is particularly valuable in medical imaging, where clear and accurate images are crucial for diagnosis. Moreover, AI algorithms can analyze and interpret images to detect patterns, anomalies, and specific objects of interest. This is widely used in fields such as healthcare (e.g., disease diagnosis), manufacturing (e.g., quality control), and agriculture (e.g., crop monitoring). Additionally, automation of image-related tasks is a significant aspect of AI-enabled imaging. This includes automating routine tasks like sorting, categorizing, and indexing images, as well as more complex processes like autonomous vehicle navigation and robotics. Advancements in Artificial Intelligence (AI) and Machine Learning (ML) are driving the market growth. Continuous advancements in AI and ML algorithms have enabled more accurate image analysis, interpretation, and automation.
The software segment is expected to hold a significant share segment in the AI-enabled medical imaging solutions market over the forecast period owing to several reasons such as advancements in AI algorithms, data availability, customization and integration, and others. The core of AI-enabled medical imaging solutions is the software that includes advanced AI algorithms. Over time, these algorithms have become more sophisticated and accurate in detecting and diagnosing medical conditions. This continuous improvement in AI algorithms is a significant driver of growth in the software segment. Moreover, the availability of large datasets of medical images has expanded rapidly. These datasets are essential for training AI models. As more data becomes accessible, AI software can be trained to recognize a wider range of medical conditions and anomalies, making it more valuable to healthcare providers.
North America is projected to hold the most prominent market share owing to several factors such as advanced healthcare infrastructure, strong investment and funding, strong research and innovation, and others. North America, particularly the United States and Canada, boasts a highly developed and advanced healthcare infrastructure. This includes a large number of hospitals, medical centers, and diagnostic facilities, which serve as ideal environments for the adoption of AI-enabled medical imaging solutions. Moreover, the region has substantial investments in healthcare technology and artificial intelligence. Venture capital firms and government agencies have provided significant funding to support the development and adoption of AI in healthcare, including medical imaging. Additionally, North America is home to many world-renowned research institutions, universities, and technology companies. These institutions and organizations conduct cutting-edge research in the field of medical imaging, developing and testing AI algorithms and solutions to improve diagnosis and patient care.
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
2. Complete coverage of all the segments in the AI-enabled imaging solutions market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global AI-enabled imaging solutions market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
AI-enabled medical imaging solutions focus on the development, implementation, and commercialization of Artificial Intelligence (AI) technologies in the field of imaging. These solutions harness the power of AI and machine learning to enhance image processing, analysis, and interpretation across various industries and applications. AI-enabled imaging solutions are designed to improve image quality, remove noise, enhance details, and correct imperfections. This is particularly valuable in medical imaging, where clear and accurate images are crucial for diagnosis. Moreover, AI algorithms can analyze and interpret images to detect patterns, anomalies, and specific objects of interest. This is widely used in fields such as healthcare (e.g., disease diagnosis), manufacturing (e.g., quality control), and agriculture (e.g., crop monitoring). Additionally, automation of image-related tasks is a significant aspect of AI-enabled imaging. This includes automating routine tasks like sorting, categorizing, and indexing images, as well as more complex processes like autonomous vehicle navigation and robotics. Advancements in Artificial Intelligence (AI) and Machine Learning (ML) are driving the market growth. Continuous advancements in AI and ML algorithms have enabled more accurate image analysis, interpretation, and automation.
The software segment is expected to hold a significant share segment in the AI-enabled medical imaging solutions market over the forecast period owing to several reasons such as advancements in AI algorithms, data availability, customization and integration, and others. The core of AI-enabled medical imaging solutions is the software that includes advanced AI algorithms. Over time, these algorithms have become more sophisticated and accurate in detecting and diagnosing medical conditions. This continuous improvement in AI algorithms is a significant driver of growth in the software segment. Moreover, the availability of large datasets of medical images has expanded rapidly. These datasets are essential for training AI models. As more data becomes accessible, AI software can be trained to recognize a wider range of medical conditions and anomalies, making it more valuable to healthcare providers.
North America is projected to hold the most prominent market share owing to several factors such as advanced healthcare infrastructure, strong investment and funding, strong research and innovation, and others. North America, particularly the United States and Canada, boasts a highly developed and advanced healthcare infrastructure. This includes a large number of hospitals, medical centers, and diagnostic facilities, which serve as ideal environments for the adoption of AI-enabled medical imaging solutions. Moreover, the region has substantial investments in healthcare technology and artificial intelligence. Venture capital firms and government agencies have provided significant funding to support the development and adoption of AI in healthcare, including medical imaging. Additionally, North America is home to many world-renowned research institutions, universities, and technology companies. These institutions and organizations conduct cutting-edge research in the field of medical imaging, developing and testing AI algorithms and solutions to improve diagnosis and patient care.
Report Findings
1) Drivers
- Advancements in Artificial Intelligence (AI) and Machine Learning (ML) is responsible for ai enabled imaging solutions market growth.
- Rising demand for automation and efficiency fuels the AI-enabled imaging solutions market growth.
2) Restraints
- Maintaining data privacy and security may restrain the market growth.
3) Opportunities
- AI-enabled medical imaging solutions present a multitude of opportunities across various dimensions, including healthcare outcomes, efficiency, and innovation.
Research Methodology
A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
The primary research respondents typically include
1. Executives working with leading companies in the market under review2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.The secondary sources of the data typically include
1. Company reports and publications2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segment Covered
The global AI-enabled imaging solutions market is segmented on the basis of offering, image acquisition technology, end user, and technology.The Global AI-enabled Imaging Solutions Market by Offering
- Software Tools/Platform
- Services
The Global AI-enabled Imaging Solutions Market by Image Acquisition Technology
- X-ray
- Computed Tomography
- Magnetic Resonance Imaging
- Ultrasound Imaging
- Molecular Imaging
The Global AI-enabled Imaging Solutions Market by End User
- Hospitals
- Clinics
- Research Laboratories & Diagnostic Centers
- Cybersecurity
The Global AI-enabled Imaging Solutions Market by Technology
- Machine Learning
- Natural Language Processing
- Context-aware Computing
- Computer Vision
Company Profiles
The companies covered in the report include- Arterys
- Siemens Healthcare GmbH
- Koninklijke Philips N.V.
- GE HealthCare
- IBM Watson Health (is now Merative)
- IMAGEN
- Lunit Inc.
- Quibim
- Aidoc
- EnvoyAI (acquired by TeraRecon)
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the AI-enabled imaging solutions market.2. Complete coverage of all the segments in the AI-enabled imaging solutions market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global AI-enabled imaging solutions market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
This product will be delivered within 1-3 business days.
Table of Contents
Chapter 1. Preface
Chapter 2. Executive Summary
Chapter 3. Global AI-enabled Imaging Solutions Market Overview
Chapter 5. Company Profiles and Competitive Landscape
Chapter 6. Global AI-enabled Imaging Solutions Market by Offering
Chapter 7. Global AI-enabled Imaging Solutions Market by Image Acquisition Technology
Chapter 8. Global AI-enabled Imaging Solutions Market by End User
Chapter 9. Global AI-enabled Imaging Solutions Market by Technology
Chapter 10. Global AI-enabled Imaging Solutions Market by Region 2023-2030
Executive Summary
The report on the AI-enabled imaging solutions market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI-enabled imaging solutions market over the period of 2020 to 2028. Moreover, the report is a collective presentation of primary and secondary research findings.Companies Mentioned
- Arterys
- Siemens Healthcare GmbH
- Koninklijke Philips N.V.
- GE HealthCare
- IBM Watson Health (is now Merative)
- IMAGEN
- Lunit Inc.
- Quibim
- Aidoc
- EnvoyAI (acquired by TeraRecon)
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 300 |
| Published | May 2023 |
| Forecast Period | 2022 - 2030 |
| Estimated Market Value ( USD | $ 1906.95 Million |
| Forecasted Market Value ( USD | $ 10912.78 Million |
| Compound Annual Growth Rate | 21.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
