Artificial Intelligence (AI) is transforming healthcare, and neurology is one of the fields benefiting the most from this digital revolution. From early disease detection to personalized treatment planning, AI is empowering neurologists with tools that improve accuracy, efficiency, and patient outcomes.
According to BCC Research, the global AI in neurology market was valued at $563.6 million in 2024 and is expected to grow from million in 2025 to $2.5 billion by 2030, at an impressive compound annual growth rate (CAGR) of 28.9% during the forecast period. This remarkable growth reflects how AI technologies are rapidly becoming an integral part of neurological research, diagnostics, and clinical care.
Neurology deals with complex disorders affecting the brain, spinal cord, and nervous system, including Alzheimer’s disease, Parkinson’s disease, epilepsy, multiple sclerosis, and stroke. Diagnosing and managing these conditions can be challenging due to their intricate symptoms and overlapping signs.
This is where AI makes a difference. By analyzing massive amounts of medical data, including brain scans, genetic profiles, and clinical records, AI systems can identify subtle patterns that may not be visible to the human eye. These insights enable doctors to detect diseases earlier, predict outcomes more accurately, and tailor treatments to each patient.
Machine learning (ML) and deep learning algorithms, key subsets of AI, are being used to interpret neuroimaging data such as MRI and CT scans. They can detect early signs of brain abnormalities, monitor disease progression, and even assess the effectiveness of ongoing treatments.