AI in medicine is a rapidly evolving field, with medical universities, pharmaceutical companies, insurance providers, hospitals, and healthcare providers exploring numerous benefits. They include more rapid diagnosis of certain diseases, imaging analytics, and the creation of highly personalized care plans, among others.
According to Grand View Research, the global AI in healthcare market size was estimated at USD 26.57 billion in 2024 and is projected to reach $187.69 billion by 2030, growing at a stunning CAGR of 38.62% from 2025 to 2030.
“A key factor driving market growth is the increasing demand in the healthcare sector for enhanced efficiency, accuracy, and better patient outcomes,” their recent report suggests, and key insights and trends include:
- North America’s AI in the healthcare industry dominated the global market, accounting for the largest revenue share of over 54% in 2024.
- Based on component, the software solution segment dominated the market with the largest revenue share of over 46% in 2024
- Based on application, the robot-assisted surgery segment dominated the market in 2024 with the largest revenue share of over 13%.
- Based on technology, the machine learning segment held the largest market share, exceeding 35% in 2024.
According to top tumor surgeon and orthopedic oncologist James C. Wittig, MD, the potential of AI to enhance the accuracy and efficiency of tumor diagnosis is just one way in which patients and providers can benefit.
“We’ve long used imaging to detect and define tumors,” Wittig said. “With AI systems, we will be able to analyze large datasets to identify patterns and abnormalities in medical images within minutes, including reviewing basic scans before cancer might normally be detected – and early detection is always key to removing malignant tumors before they spread and cause irreversible harm to the body.”
Wittig also noted that, once a diagnosis is reached, AI systems can run automated “second opinions,” which doctors can review with their patients to make faster and more informed decisions.
“Once the tumor is understood and options are made clear, AI applications can analyze individual patient information and help care teams rapidly develop and track personalized treatment plans, combining multiple actions, including surgery, chemotherapy, radiation, and a lifetime of preventative and restorative care,” he said.Applications like these illustrate the transformative potential of AI in oncology, Wittig noted. Beyond patient-centered, individualized, cellular and molecular care that increases the chances of a full recovery, “large datasets can be analyzed using AI platforms, which informs future studies and investments in new preventative and prescriptive modalities which will ultimately lead to the global cure for cancer we all wish to see in our lifetimes.”
Originally published on HealthTech Zone.
