Global Digital Health in Neurology Market to Reach US$117.6 Billion by 2030

The global market for Digital Health in Neurology estimated at US$38.4 Billion in the year 2024, is expected to reach US$117.6 Billion by 2030, growing at a CAGR of 20.5% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 22.8% CAGR and reach US$71.6 Billion by the end of the analysis period. Growth in the Hardware Component segment is estimated at 17.0% CAGR over the analysis period.

The U.S. Market is Estimated at US$10.5 Billion While China is Forecast to Grow at 27.9% CAGR

The Digital Health in Neurology market in the U.S. is estimated at US$10.5 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$28.2 Billion by the year 2030 trailing a CAGR of 27.9% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.1% and 18.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 17.2% CAGR.

Global Digital Health in Neurology Market – Key Trends & Drivers Summarized

Can AI and Digital Biomarkers Transform Neurological Diagnosis?

The integration of artificial intelligence (AI) and digital biomarkers is revolutionizing neurological diagnosis, enabling early detection and continuous monitoring of conditions such as Alzheimer’s disease, Parkinson’s disease, epilepsy, and multiple sclerosis. Traditional neurological diagnostics often rely on subjective assessments and in-clinic evaluations, which can lead to delayed diagnoses and inconsistent monitoring. AI-driven digital health solutions, including machine learning models analyzing brain imaging data and speech patterns, are enhancing diagnostic accuracy by detecting subtle neurological changes that may not be evident in clinical evaluations. Wearable biosensors and mobile-based cognitive assessments are further enabling remote monitoring of neurological conditions, providing real-time insights into disease progression. Additionally, AI-powered predictive analytics are being used to identify individuals at high risk of developing neurodegenerative disorders, allowing for early interventions. However, challenges such as data standardization, regulatory approvals, and AI model validation still need to be addressed. As digital biomarkers and AI-driven neurology tools continue to improve, they are expected to play a transformative role in precision medicine, offering more proactive and personalized neurological care.

How Is Tele-Neurology Expanding Access to Specialized Care?

The rapid adoption of tele-neurology is improving access to specialized neurological care, particularly in underserved and remote regions where neurologist availability is limited. Tele-neurology platforms allow patients with conditions such as stroke, epilepsy, and migraine disorders to receive expert consultations via virtual appointments, reducing the need for hospital visits and expediting treatment decisions. AI-powered decision support systems are further enhancing tele-neurology services by assisting clinicians in diagnosing neurological disorders through real-time patient data analysis. Remote EEG (electroencephalography) monitoring and mobile-based neurological assessments are also being integrated into telehealth platforms, ensuring continuous patient evaluation and timely interventions. However, tele-neurology adoption faces barriers such as reimbursement policies, data privacy concerns, and the need for advanced infrastructure in rural areas. Despite these challenges, the expansion of tele-neurology is expected to drive significant improvements in patient outcomes by making expert neurological care more accessible, cost-effective, and efficient.

Can Digital Therapeutics (DTx) Improve Neurological Disease Management?

Digital therapeutics (DTx) are emerging as a groundbreaking solution for managing neurological disorders by offering evidence-based, software-driven interventions that complement pharmacological treatments. Neurological conditions such as migraine, multiple sclerosis, and epilepsy often require long-term disease management, which can be challenging due to medication adherence issues and fluctuating symptoms. AI-driven DTx platforms provide personalized cognitive training, behavioral therapy modules, and real-time symptom tracking to improve patient adherence and overall disease management. For instance, digital cognitive training applications are being used to slow cognitive decline in Alzheimer’s patients, while digital rehabilitation programs are helping stroke survivors regain motor function. Additionally, VR-based therapies are proving effective in managing chronic pain and anxiety associated with neurological conditions. However, regulatory approvals and insurance coverage remain barriers to widespread adoption. As clinical evidence supporting DTx effectiveness continues to grow, digital therapeutics are expected to become an integral part of neurology care, improving patient engagement and long-term health outcomes.

What Is Driving the Growth of the Digital Health in Neurology Market?

The growth in the digital health in neurology market is driven by several factors, including increasing prevalence of neurological disorders, rising adoption of AI-driven diagnostics, and advancements in wearable neurology monitoring devices. The growing demand for remote patient monitoring and tele-neurology services is further accelerating market expansion, especially in regions with limited access to neurologists. The integration of digital biomarkers and predictive analytics is improving early disease detection, enabling more proactive management of neurodegenerative disorders. The expansion of digital therapeutics (DTx) for neurological conditions is also driving adoption, offering non-invasive, software-based interventions that complement traditional treatments. Additionally, regulatory support for digital health solutions and increasing investments in neurology-focused digital health startups are fueling market growth. As AI, big data, and mobile health technologies continue to evolve, digital health solutions are expected to reshape the neurology landscape, making diagnosis and treatment more accessible, efficient, and personalized.