Global AI In Medical Imaging Market Size By Technology (Deep Learning, Natural Language Processing (NLP)), By Application (Neurology, Cardiology), By Modality (CT Scans, MRI), By End-Use (Hospitals, Diagnostic Imaging Centers), By Geographic Scope And Forecast

AI In Medical Imaging Market Size And Forecast

AI In Medical Imaging Market size was valued at USD 1.07 Billion in 2021 and is projected to reach USD 17.79 Billion by 2030, growing at a CAGR of 49.43% from 2023 to 2030.

Major factors driving the market growth include the application of AI in medical imaging is considered a significant breakthrough in the field of health and medical innovation. Also, the field of medical imaging is witnessing an increase in the adoption of artificial intelligence (AI) as a tool for disease detection and diagnosis. The Global AI In Medical Imaging Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global AI In Medical Imaging Market Definition

Artificial intelligence (AI) is a game-changing technology that involves the use of computer algorithms to analyze complex data. One of the most promising areas of AI application is in medical imaging, where researchers are increasingly looking to AI to improve the detection and diagnosis of various medical conditions. AI-based imaging has shown high accuracy, sensitivity, and specificity in detecting small abnormalities, which could have a major impact on public health.

However, it’s important to note that the success of AI imaging studies is often evaluated by its ability to detect lesions while ignoring factors such as the type and severity of the lesion. This can lead to overdiagnosis and false positives. To get the most accurate picture of AI’s performance, it’s important to focus on clinically meaningful endpoints, such as patient outcomes, symptoms, and the need for treatment.

Global AI In Medical Imaging Market Overview

Using AI in medical imaging? It's a game-changer! We're talking a real step forward in health and medical innovation. AI's involved at every stepsnapping the images, crunching the data, and even analyzing what it all means. And get thisit's showing amazing sensitivity and accuracy when it comes to spotting problems in those images. Think of machine learning – that's a type of AI – using algorithms that are almost like copies of our brain's natural neural networks. These ML networks are made up of nodes all connected, weighing and summarizing data before passing it along. This lets ML learn from tons of data and make really precise predictions, which makes it a super useful tool for medical imaging.

AI is really shaking things up in medical imaging! It's helping doctors and other healthcare pros get better at reading and understanding scans, which is leading to more accurate diagnoses and treatments tailored just for you. And because of this, the market for AI in medical imaging is really taking off. Researchers are even using AI to really dig into X-rays and other images, looking for patterns that might be too subtle for the human eye. In radiation therapy, AI's improving the images used to guide treatment. And get this – there's a whole field called "radiation omics" where they pull tons of info from radiation images. AI is a major player there. Bottom line? AI is helping us get healthier, one image at a time.

Furthermore, the field of medical imaging is witnessing an increase in the adoption of artificial intelligence (AI) as a tool for disease detection and diagnosis. AI algorithms provide more precise and dependable outcomes compared to conventional image processing techniques, especially in the area of COVID-19 diagnosis. The use of AI-based image analysis is becoming popular for identifying infected lung regions and conducting clinical evaluations. The medical imaging sector is expected to see significant growth potential in the near future due to the advancements made in AI-based diagnosis methods.

Global AI In Medical Imaging MarketSegmentation Analysis

The Global AI In Medical Imaging Market is Segmented on the basis of Technology, Application, Modality, End-Use, And Geography.

AI In Medical Imaging Market, By Technology

• Deep Learning
• Natural Language Processing (NLP)
• Others

When we look at the tech that powers this market, we see it broken down into Deep Learning, Natural Language Processing (NLP), and a catch-all "Others." Right now, Deep Learning is the big cheese, grabbing the largest slice of the pie. That's because it's all over the place in radiology, helping with things like image segmentation, object detection, generating images, and transforming them. But, don't count out NLP! It's actually the segment growing the fastest. NLP is cool because it allows computers to basically "understand" us and spit back data in ways we get – like human language, pictures, and even good old-fashioned text. And why's it booming? Well, it's getting super popular in the AI and machine learning worlds.

AI In Medical Imaging Market, By Application

• Neurology
• Respiratory and Pulmonary
• Cardiology
• Breast Screening
• Orthopedics
• Others

Based on Application, the market is segmented into Neurology, Respiratory and Pulmonary, Cardiology, Breast Screening, Orthopedics, and Others. The largest share of the market is dominated by the neurology segment, largely due to the growing utilization of AI technology. The integration of AI in neurology provides improved patient care, increased accuracy, and greater efficiency. This has led to AI being widely used in several areas of neurology, including neuro-oncology, neuro-vascular disease detection, traumatic brain injury detection, and neurosurgery.

AI In Medical Imaging Market, By Modality

• CT Scan
• MRI
• X-rays
• Ultrasound
• Nuclear Imaging

So, when we look at the medical imaging market, we can break it down by modality – things like CT Scans, MRI, good old X-rays, Ultrasound, and Nuclear Imaging. Right now, CT scans are really popular and hold a big chunk of the market. That’s because they're the go-to imaging method for lots of different medical situations. Plus, you can find tons of AI-powered solutions for CT scans from both big companies and smaller players. CT scans also give you a really detailed picture compared to some other methods, and the radiation levels are low enough that they're generally considered safe in the long run. Again, thinking about modality, that's CT scans, MRI, X-ray, ultrasound, and nuclear imaging.

AI In Medical Imaging Market, By End-Use

• Hospitals
• Diagnostic Imaging Centers
• Others

Based on End-Use, the market is segmented into Hospitals, Diagnostic Imaging Centers, and Others. The hospital segment holds a large number of shares in the market because of its popularity among patients as a convenient and accessible treatment option. Hospitals provide a wide range of products and services, making them a one-stop destination for medical treatment. Also, hospitals are widely available and easily accessible, which further contributes to their popularity.

AI In Medical Imaging Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Now, let's talk about where in the world AI is making waves in medical imaging! Geographically, we're looking at North America, Europe, Asia Pacific, and the Rest of the World. North America is currently holding a big chunk of the market, and that's largely thanks to its top-notch tech and people having the means to spend on healthcare. Plus, there are tons of companies involved and the government's pretty helpful, which is fueling AI's growth in this area. But don't count out Asia Pacific! Experts believe it's going to grow the fastest, with more and more folks embracing cool new tech, better internet connections, and helpful government initiatives. The rise of AI startups, especially in China and India, coupled with increasing investments and AI's potential to improve image quality and patch up gaps in healthcare, are major factors driving the region's growth.

Key Players

The “Global AI In Medical Imaging Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are Siemens Healthineers, General Electric, Koninklije Philips, IBM, Agfa-Gevaert Group/Agfa Health Care, Arterys, AZmed, Caption Health, Gleamer, and Butterfly Network.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis.

Ace Matrix Analysis

The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.

Market Attractiveness

The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global AI In Medical Imaging Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.

Porter’s Five Forces

The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. Porter’s five forces model can be used to assess the competitive landscape in the Global AI In Medical Imaging Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

Report Scope

Top Trending Reports

Research Methodology of Market Research

To know more about the Research Methodology and other aspects of the research study, kindly get in touch with our .

Reasons to Purchase this Report

We'll dive deep into the market, looking at it from every angle, both financially and in terms of other stuff that matters. We'll give you the lowdown on market size in dollars (USD Billion!) for all the different parts. You'll know exactly which areas are going to explode in growth and who's gonna be the king of the hill. We'll also break down each region, showing you where people are actually using the product or service and what's making the market tick there. Plus, we'll map out the competitive scene, ranking the big players and highlighting all the new stuff they've launched, the deals they've made, and how they've grown over the last five years. Think of it as a complete insider's look.