Medical imaging is a diagnostic procedure that includes the creation of visual aids for the human body and monitoring the performance and functioning of the organs. With the addition of artificial intelligence (AI) in healthcare and medical imaging, surgeons can get help in carrying out the image capturing process and diagnose these images for the conclusion and personalized treatment according to every individual and patient.

A new study Global Artificial Intelligence in Medical Diagnostics Market Trends and Insights has just been made available on market intelligence data. A detailed study accumulated to offer Latest insights about acute features of the Artificial Intelligence in Medical Diagnostics Market. The report contains different market predictions related to revenue size, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. The market includes news and updates about the market current situation, historic data, present market trends, and this factor which is valuable and supportive to the business. It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary and SWOT analysis. The report aims to supply a further illustration of the newest scenario, economic slowdown, and COVID-19 impact on the overall industry. This research report was put together using both static and dynamic viewpoints on business.

The Artificial Intelligence in Medical Diagnostics Market is anticipated to grow from USD 632.48 Million in 2024 to USD 6773.69 Million by 2030, at a CAGR of 34.5% during the forecast period.

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Key Players in This Report Include:

General Electric Co.

(GE Healthcare), Siemens AG, Aidoc Medical Ltd., AliveCor Inc., Imagen Technologies Inc., VUNO Inc., IDx Technologies Inc., NovaSignal Corporation, Riverain Technologies LLC, and Zebra Medical Vision Ltd.

The Artificial Intelligence in Medical Diagnostics market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analysed study to help understand market, opportunities and upcoming challenges and about the competitors.

The Artificial Intelligence in Medical Diagnostics Market segments and Market Data Break Down are illuminated below

Ai In Medical Diagnostics Market by Component, 2022-2029, (USD Million), (Thousand Unit)

Software

Services

Ai In Medical Diagnostics Market by Specialty, 2022-2029, (USD Million), (Thousand Unit)

Radiology

Cardiology

Neurology

Gynecology

Oncology

Ai In Medical Diagnostics Market by Modality, 2022-2029, (USD Million), (Thousand Unit)

MRI

CT

X-Ray

Ultrasound

Ai In Medical Diagnostics Market by End User Industry, 2022-2029, (USD Million), (Thousand Unit)

Hospital

Diagnostic Centers

The Artificial Intelligence in Medical Diagnostics market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

AI in Medical Diagnostics Market Dynamics

Driver: Increasing demand for AI-based solutions to reduce work pressure on radiologists

Over the years, the demand for AI-based solutions has increased considerably in the diagnostics industry as these solutions have immense potential in medical image diagnosis. Some advantages include faster analysis of diagnostic images, efficient interpretation of the smallest possible data often missed by radiologists, and improved imaged triage and clinical decision support.  Radiologists use these solutions to shift their focus from interpreting images to providing better care. According to a study by the Association of American Medical Colleges, the shortage of radiologists could increase to nearly 42,000 by 2033. The US has as few as 100 radiologists per million population. Considering this, radiologists experience tremendous pressure and workload to interpret unlimited diagnostic data.

Restraint: Inadequate AI workforce and ambiguous regulatory guidelines for medical software

AI is a complex system, and companies need a workforce with certain skill sets for developing, managing, and implementing AI systems. For instance, personnel dealing with AI systems should be informed of technologies such as cognitive computing, ML and machine intelligence, deep learning, and image recognition. Additionally, integrating AI solutions into existing systems needs extensive data processing for replicating human brain behavior. Even a small error can result in system failure or negatively affect the desired result. Moreover, the lack of professional standards and certifications in AI/ML technologies is restraining the growth of AI in healthcare.

Challenge: Hesitancy to adopt AI-based technologies

Extensive growth in digital health has allowed healthcare providers to support patients through novel treatment approaches. AI technologies provide doctors tools that facilitate them diagnose and essentially treat patients better. However, there is an observed hesitancy among doctors for the acceptance of new technologies. For instance, medical practitioners have a false impression that AI will replace doctors in the coming years. Doctors and radiologists trust that skills such as empathy and persuasion are human skills; thus, technologies cannot wholly rule out the presence of a doctor. In addition, there is a worry that patients may be greatly inclined toward these technologies and may forgo required in-person treatments, which might also challenge long-term doctor-patient relationships. Several healthcare professionals have doubts about AI’s capabilities in precisely diagnosing patient conditions. Therefore, proving providers that AI-based solutions are cost-effective, efficient, and reliable solutions that provide doctors ease and better patient care is challenging. However, healthcare providers are gradually accepting the likely benefits of AI-based solutions. Hence, there is a probability that in the coming years, doctors and radiologists will be more inclined toward AI-based technologies in healthcare.

Following are the various regions covered by the Artificial Intelligence in Medical Diagnostics Market research report:

North America (the U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, Russia, Spain, and Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Australia, South East Asia, and Rest of APAC), South America (Brazil, Argentina, Columbia and Rest of Latin America), Middle East & Africa (Saudi Arabia, South Africa, Turkey, Nigeria, UAE and Rest of MEA)

Key Points Covered in Market Report:

• Market Overview, Definition and Classification Market drivers and barriers
• Market Competition by Manufacturers
• Impact Analysis of COVID-19 on Market
• Market Capacity, Production, Revenue (Value) by region (2024-2030)
• Artificial Intelligence in Medical Diagnostics Supply (Production), Consumption, Export, Import by Region (2024-2030)
• Artificial Intelligence in Medical Diagnostics market Production, Revenue (Value), Price Trend by Type {Payment Gateway, Merchant Account, Subscription Management,}
• Artificial Intelligence in Medical Diagnostics Manufacturers Profiles/Analysis & Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
• Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry Road map and value chain Market Effect Factors Analysis.

Take a look at the full report with detailed TOC here:

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Objectives of the Report:

• To carefully analyses and forecast the size of the market by value and volume.
• To estimate the market shares of major segments of the Artificial Intelligence in Medical Diagnostics
• To showcase the development of the market in different parts of the world.
• To analyze and study micro-markets in terms of their contributions to the Artificial Intelligence in Medical Diagnostics market, their prospects, and individual growth trends.
• To offer precise and useful details about factors affecting the growth of the Artificial Intelligence in Medical Diagnostics
• To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Artificial Intelligence in Medical Diagnostics market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Key questions answered:

1. How feasible is Artificial Intelligence in Medical Diagnostics market for long-term investment?
2. What are influencing factors driving the demand for Artificial Intelligence in Medical Diagnostics near future?
3. What is the impact analysis of various factors in the Artificial Intelligence in Medical Diagnostics market growth?
4. What are the recent trends in the regional Artificial Intelligence in Medical Diagnostics market and how successful they are?

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