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Artificial Intelligence (AI) in Cardiology Market Rising

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6 days ago

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Artificial Intelligence (AI) in Cardiology Market

The global Artificial Intelligence (AI) in Cardiology Market is estimated to be valued at USD 1.4 billion in 2024 and is projected to reach approximately USD 7.9 billion by 2033, growing at a CAGR of 21.0% from 2025 to 2033.

Artificial Intelligence (AI) in Cardiology Market Overview:

The AI in Cardiology market is expanding rapidly as healthcare providers increasingly adopt advanced technologies to improve diagnostic accuracy, treatment planning, and patient outcomes. AI tools are revolutionizing cardiology by enabling early detection of heart diseases, automating imaging analysis, and predicting cardiac events through machine learning algorithms. The rise in cardiovascular diseases, growing healthcare data, and demand for personalized care are key drivers of market growth. Integration of AI with ECG, echocardiography, and wearable devices is further enhancing real-time monitoring and decision-making. Additionally, support from regulatory bodies and increased investments in health tech innovation are accelerating the development and deployment of AI solutions in cardiology.

Request a sample copy of this report at: https://www.omrglobal.com/request-sample/ai-in-the-cardiology-market

Advantages of requesting a Sample Copy of the Report:

1) To understand how our report can bring a difference to your business strategy

2) To understand the analysis and growth rate in your region

3) Graphical introduction of global as well as the regional analysis

4) Know the top key players in the market with their revenue analysis

5) SWOT analysis, PEST analysis, and Porter’s five force analysis

The report further explores the key business players along with their in-depth profiling

Siemens Healthineers, GE HealthCare, IBM Watson Health, Philips Healthcare, Aidoc, AliveCor Inc., HeartFlow Inc., Ultromics, Arterys Inc., and Zebra Medical Vision.

Artificial Intelligence (AI) in Cardiology Market Segments:

By Component:

Software, Hardware, and Services

By Technology:

Machine Learning, Natural Language Processing (NLP), Computer Vision, and Others

By Application:

Diagnosis & Imaging, Risk Prediction, Treatment Planning, Monitoring & Management, and Others

By End-User:

Hospitals & Clinics, Diagnostic Centers, Academic & Research Institutes, and Others

Report Drivers & Trends Analysis:

The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging Artificial Intelligence (AI) in Cardiology Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.

Competitive Landscape Analysis:

In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the Artificial Intelligence (AI) in Cardiology Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:

The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)

» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

» South America (Brazil, Argentina, Rest of SA)

» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

If you have any special requirements, Request customization: https://www.omrglobal.com/report-customization/ai-in-the-cardiology-market

Key Benefits for Stakeholders:

⏩ The study represents a quantitative analysis of the present Artificial Intelligence (AI) in Cardiology Market trends, estimations, and dynamics of the market size from 2025 to 2033 to determine the most promising opportunities.

⏩ Porter’s five forces study emphasizes the importance of buyers and suppliers in assisting stakeholders to make profitable business decisions and expand their supplier-buyer network.

⏩ In-depth analysis, as well as the market size and segmentation, help you identify current Artificial Intelligence (AI) in Cardiology Market opportunities.

⏩ The largest countries in each region are mapped according to their revenue contribution to the market.

⏩ The Artificial Intelligence (AI) in Cardiology Market research report gives a thorough analysis of the current status of the Artificial Intelligence (AI) in Cardiology Market’s major players.

Key questions answered in the report:

➧ What will the market development pace of the Artificial Intelligence (AI) in Cardiology Market?

➧ What are the key factors driving the Artificial Intelligence (AI) in Cardiology Market?

➧ Who are the key manufacturers in the market space?

➧ What are the market openings, market hazards,s and market outline of the Artificial Intelligence (AI) in Cardiology Market?

➧ What are the sales, revenue, and price analysis of the top manufacturers of the Artificial Intelligence (AI) in Cardiology Market?

➧ Who are the distributors, traders, and dealers of Artificial Intelligence (AI) in Cardiology Market?

➧ What are the market opportunities and threats faced by the vendors in the Artificial Intelligence (AI) in Cardiology Market?

➧ What are deals, income, and value examination by types and utilizations of the Artificial Intelligence (AI) in Cardiology Market?

➧ What are deals, income, and value examination by areas of enterprises in the Artificial Intelligence (AI) in Cardiology Market?

Purchase Now Up to 25% Discount on This Premium Report: https://www.omrglobal.com/buy-now/ai-in-the-cardiology-market?license_type=quick-scope-report

Reasons To Buy The Artificial Intelligence (AI) in Cardiology Market Report:

➼ In-depth analysis of the market on the global and regional levels.

➼ Major changes in market dynamics and competitive landscape.

➼ Segmentation on the basis of type, application, geography, and others.

➼ Historical and future market research in terms of size, share growth, volume, and sales.

➼ Major changes and assessment in market dynamics and developments.

➼ Emerging key segments and regions

➼ Key business strategies by major market players and their key methods

Contact Us:

Mr. Anurag Tiwari

Email: anurag@omrglobal.com

Contact no: +91 780-304-0404

Website: www.omrglobal.com

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About Orion Market Research

Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services. The company also offers Digital Marketing services through its subsidiary OMR Digital and Software development and Consulting Services through another subsidiary Encanto Technologies.

This release was published on openPR.



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AI Research

The new frontier of medical malpractice

Published

44 minutes ago

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July 7, 2025

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Although the beginnings of modern artificial intelligence (AI) can be traced
as far back as 1956, modern generative AI, the most famous example of which is
arguably ChatGPT, only began emerging in 2019. For better or worse, the steady
rise of generative AI has increasingly impacted the medical field. At this time, AI has begun to advance in a way that creates
potential liability…



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Radiomics-Based Artificial Intelligence and Machine Learning Approach for the Diagnosis and Prognosis of Idiopathic Pulmonary Fibrosis: A Systematic Review – Cureus

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2 hours ago

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July 7, 2025

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Radiomics-Based Artificial Intelligence and Machine Learning Approach for the Diagnosis and Prognosis of Idiopathic Pulmonary Fibrosis: A Systematic Review  Cureus



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A Real-Time Look at How AI Is Reshaping Work : Information Sciences Institute

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3 hours ago

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July 7, 2025

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Artificial intelligence may take over some tasks and transform others, but one thing is certain: it’s reshaping the job market. Researchers at USC’s Information Sciences Institute (ISI) analyzed LinkedIn job postings and AI-related patent filings to measure which jobs are most exposed, and where those changes are happening first. 

The project was led by ISI research assistant Eun Cheol Choi, working with students in a graduate-level USC Annenberg data science course taught by USC Viterbi Research Assistant Professor Luca Luceri. The team developed an “AI exposure” score to measure how closely each role is tied to current AI technologies. A high score suggests the job may be affected by automation, new tools, or shifts in how the work is done. 

Which Industries Are Most Exposed to AI?

To understand how exposure shifted with new waves of innovation, the researchers compared patent data from before and after a major turning point. “We split the patent dataset into two parts, pre- and post-ChatGPT release, to see how job exposure scores changed in relation to fresh innovations,” Choi said. Released in late 2022, ChatGPT triggered a surge in generative AI development, investment, and patent filings.

Jobs in wholesale trade, transportation and warehousing, information, and manufacturing topped the list in both periods. Retail also showed high exposure early on, while healthcare and social assistance rose sharply after ChatGPT, likely due to new AI tools aimed at diagnostics, medical records, and clinical decision-making.

In contrast, education and real estate consistently showed low exposure, suggesting they are, at least for now, less likely to be reshaped by current AI technologies.

AI’s Reach Depends on the Role

AI exposure doesn’t just vary by industry, it also depends on the specific type of work. Jobs like software engineer and data scientist scored highest, since they involve building or deploying AI systems. Roles in manufacturing and repair, such as maintenance technician, also showed elevated exposure due to increased use of AI in automation and diagnostics.

At the other end of the spectrum, jobs like tax accountant, HR coordinator, and paralegal showed low exposure. They center on work that’s harder for AI to automate: nuanced reasoning, domain expertise, or dealing with people.

AI Exposure and Salary Don’t Always Move Together

The study also examined how AI exposure relates to pay. In general, jobs with higher exposure to current AI technologies were associated with higher salaries, likely reflecting the demand for new AI skills. That trend was strongest in the information sector, where software and data-related roles were both highly exposed and well compensated.

But in sectors like wholesale trade and transportation and warehousing, the opposite was true. Jobs with higher exposure in these industries tended to offer lower salaries, especially at the highest exposure levels. The researchers suggest this may signal the early effects of automation, where AI is starting to replace workers instead of augmenting them.

“In some industries, there may be synergy between workers and AI,” said Choi. “In others, it may point to competition or replacement.”

From Class Project to Ongoing Research

The contrast between industries where AI complements workers and those where it may replace them is something the team plans to investigate further. They hope to build on their framework by distinguishing between different types of impact — automation versus augmentation — and by tracking the emergence of new job categories driven by AI. “This kind of framework is exciting,” said Choi, “because it lets us capture those signals in real time.”

Luceri emphasized the value of hands-on research in the classroom: “It’s important to give students the chance to work on relevant and impactful problems where they can apply the theoretical tools they’ve learned to real-world data and questions,” he said. The paper, Mapping Labor Market Vulnerability in the Age of AI: Evidence from Job Postings and Patent Data, was co-authored by students Qingyu Cao, Qi Guan, Shengzhu Peng, and Po-Yuan Chen, and was presented at the 2025 International AAAI Conference on Web and Social Media (ICWSM), held June 23-26 in Copenhagen, Denmark.

Published on July 7th, 2025

Last updated on July 7th, 2025



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