Growing government initiatives certainly play a crucial role in fostering the adoption and expansion of computer vision in the healthcare industry. These initiatives involve funding, policy support, and collaborations aimed at advancing research for cutting-edge solutions, and implementation of computer vision technologies in healthcare.
For instance, the U.S. government National Institutes of Health (NIH) allocated substantial funds to research programs focusing on machine learning and deep learning, including computer vision for disease diagnosis, medical imaging analysis, and treatment planning. Such investments are intended for the government's support towards advancing the AI in healthcare field, thereby augmenting the market growth.
Authors:
Mariam Faizullabhoy, Gauri Wani
Frequently Asked Questions (FAQ) :
Computer vision in healthcare industry size was valued at USD 1 billion in 2023 and is expected to grow at 34.3% CAGR from 2024 to 2032, driven by increasing demand for improved diagnostic accuracy and efficiency.
The medical imaging & diagnosis segment in the market held 42% of the computer vision in healthcare industry share in 2023, owing to its accuracy, aiding in the detection and diagnosis of diverse conditions.
North America computer vision in healthcare industry is projected to maintain its lead in the, anticipated to reach USD 6 billion by end of 2032, due to the strong inclination towards advanced digital technologies
Some of the prominent computer vision in the healthcare firms are AltexSoft, AiCure, Encord, General Electric (GE), ImFusion, InData Labs, Insoftex, NVIDIA Corporation, Robovision BV., Shaip, Softengi, and Verkada Inc.