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AI-enabled Imaging Solutions Market (Offering - Software Tools/Platform, and Services; Image Acquisition Technology - X-ray, Computed Tomography, Magnetic Resonance Imaging, Ultrasound Imaging, and Molecular Imaging; End User - Hospitals, Clinics, Research Laboratories & Diagnostic Centers, and Cybersecurity; Technology - Machine Learning, Natural Language Processing, Context-aware Computing, and Computer Vision): Global Industry Analysis, Trends, Size, Share and Forecasts to 2030

AI-enabled Imaging Solutions Market (Offering - Software Tools/Platform, and Services; Image Acquisition Technology - X-ray, Computed Tomography, Magnetic Resonance Imaging, Ultrasound Imaging, and Molecular Imaging; End User - Hospitals, Clinics, Research Laboratories & Diagnostic Centers, and Cybersecurity; Technology - Machine Learning, Natural Language Processing, Context-aware Computing, and Computer Vision): Global Industry Analysis, Trends, Size, Share and Forecasts to 2030

Report Code: IGR0902 Category: Healthcare & Medical Devices Published: March, 2024

A recent report published by Infinium Global Research on AI-enabled imaging solutions market provides in-depth analysis of segments and sub-segments in the global as well as regional AI-enabled imaging solutions market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional AI-enabled imaging solutions market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global AI-enabled imaging solutions market.

Market Insight:

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 2023-2030.

AI-enabled medical imaging solutions is a cutting-edge healthcare technology that integrates Artificial Intelligence (AI) algorithms and machine learning methods to improve the acquisition, analysis, interpretation, and management of medical images. These solutions are considered to help healthcare specialists, mainly radiotherapists, and clinicians, in numerous features of medical imaging, diagnosis, and patient care. Besides, AI-driven imaging solutions influence the competencies of AI and machine learning to raise the processing, analysis, and understanding of images across diverse sectors and use cases. These results are planned to improve image quality, eliminate distortions, intensify complicated elements, and correct faults. This is predominantly significant in medical imaging, where precise analysis necessitates exact and high-quality images. AI can support the primary exposure and diagnosis of illnesses such as cancer, cardiovascular conditions, and neurological illnesses by examining medical images such as X-rays, MRIs, and CT scans. It can categorize delicate patterns and irregularities that may be problematic for human radiologists to spot. The scope of AI-enabled medical imaging solutions is massive and continues to expand rapidly. These solutions have the potential to transform various aspects of healthcare and medical imaging.

Improvements in Artificial Intelligence and Machine Learning are responsible for market growth. Unremitting progressions in AI and ML algorithms have allowed more precise image analysis, explanation, and automation. These technologies are the support of AI-enabled imaging solutions. Moreover, the growing demand for automation and efficiency propels the market growth. Industries are progressively looking for ways to mechanize tasks that involve visual data, such as quality control in manufacturing, which not only enhances efficiency but also decreases mistakes and functioning costs. The accessibility of huge amounts of image and video data, known as "big data," has provided the raw material for training and improving AI models. This data comes from numerous sources, including medical imaging, surveillance cameras, drones, and satellites. However, upholding data secrecy and safety is a concern. Medical images encompass sensitive patient information, and sustaining data secrecy and security is dominant. AI-enabled medical imaging solutions present opportunities across various scopes, including healthcare results, productivity, and revolution. AI-enabled imaging solutions can support radiologists and clinicians in classifying subtle irregularities in medical images, leading to precise defects. This can result in better patient outcomes and compact healthcare prices through appropriate involvement.

AI-enabled Imaging Solutions Market Size, Share, Trends | IGR

North America is expected to hold a significant share of the market due to various factors. Some these factors are progressive healthcare infrastructure, considerable funds, robust research, revolution, and more. Precisely, the USA and Canada in North America own extremely advanced healthcare systems, with many clinics, medical centers, and diagnostic amenities that are suitable for executing AI-powered medical imaging solutions. Also, considerable funds in healthcare technology and artificial intelligence are made in this region, from venture capital companies and government interventions, mostly in the situation of medical imaging. Moreover, North America has many respected research organizations, universities, and technology businesses that remain at the lead of medical imaging research. These organizations are vigorously involved in revolutionary AI algorithms and solutions aimed at improving diagnosis and patient care. The Asia-Pacific region is going through rapid growth in the AI-enabled medical imaging solutions market. Asia-Pacific holds a major share of the globe’s population. These large and diverse patients provide a considerable chance for the execution of AI-enabled medical imaging solutions to improve healthcare access and efficiency. Moreover, the region is observing an increasing problem of illnesses, including chronic conditions and cancer. AI-enabled medical imaging can assist address these healthcare challenges by providing faster and more accurate diagnoses and treatment recommendations.

Report Scope of the AI-enabled Imaging Solutions Market:

Report Coverage Details
Market Size in 2022 USD 1906.95 Million
Market Size by 2030 USD 10912.78 Million
Growth Rate from 2023 to 2030 CAGR of 21.25%
Largest Market North America
No. of Pages 300
Market 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.

Market Segmentation By Offering, By Image Acquisition Technology, By End User, and By Technology
Regional Scope North America, Europe, Asia Pacific, and RoW

Segment Covered

The report on global AI-enabled imaging solutions market covers segments such as offering, image acquisition technology, end user, and technology. On the basis of offering, the sub-markets include software tools/platform, and services. On the basis of image acquisition technology, the sub-markets include x-ray, computed tomography, magnetic resonance imaging, ultrasound imaging, and molecular imaging. On the basis of end user, the sub-markets include hospitals, clinics, research laboratories & diagnostic centers, and cybersecurity. On the basis of technology, the sub-markets include machine learning, natural language processing, context-aware computing, and computer vision.

Companies Profiled:

The report provides profiles of the companies in the market such as Arterys, Siemens Healthcare GmbH, Koninklijke Philips N.V., GE HealthCare, IBM Watson Health (is now Merative), IMAGEN, Lunit Inc., Quibim, Aidoc, and EnvoyAI (acquired by TeraRecon).

Report Highlights:

The report provides deep insights into demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the AI-enabled imaging solutions market. Moreover, the study highlights current market trends and provides forecasts from 2023-2030. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.


Frequently Asked Questions (FAQ's)

The global AI-enabled imaging solutions market was valued at USD 1906.95 Million in 2022.
It is likely to grow at a CAGR of 21.25% during the forecast period 2023-2030.
The global AI-enabled imaging solutions market is estimated to reach USD 10912.78 Million by the end of 2030.
North America is anticipated to exhibit high demand for AI-enabled imaging solutions market during the forecast period.
Arterys, Siemens Healthcare GmbH, Koninklijke Philips N.V., GE HealthCare, IBM Watson Health (is now Merative), IMAGEN, Lunit Inc., Quibim, Aidoc, and EnvoyAI (acquired by TeraRecon).
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