Cognitive Neuroscience Market Trends

Growth Drivers

• Machine learning and artificial intelligence for brain analysis: Both these digital advancements are readily utilized in neurology to optimize research, treatment, and diagnostics, which is suitable for the global cognitive neuroscience market. According to an article published by the NLM in June 2025, with the use of AI, particularly for model development, data can be divided into 60% to 80% for training, 10% to 20% for validation and testing. Besides, as per the February 2025 Neurology Organization report, a survey was conducted regarding machine learning adoption for consciousness, wherein 80.8% of the total 178 participants identified 63 of 78 diagnostics, thus denoting a positive impact for the market.

• Non-invasive brain-computer interfaces (BCIs): This driver in the cognitive neuroscience market is suitable to ensure a standard avenue for restoring communication and functionality in patients with neurological disorders. As per the August 2024 NLM report, brain, nervous system, and stroke cancer collectively are responsible for 16.8% of deaths globally. Therefore, with the integration of BCIs, brain signals can be translated into to commands, and either control external device or offer feedback, which can deliberately enable paralysis and impairments to interact with their respective environments.
• Rising demand for neurodiagnostic tools: These tools in the cognitive neuroscience market encompass the utilization of different techniques to diagnose and assess diseases related to the nervous system. As stated in the September 2023 NLM article, a clinical study was conducted on 85 patients to determine the usefulness of ambulatory video-EEG monitoring (AVEM) to capture a patient’s typical event. There was an inclusion of 149 studies, and typical events of 46% of total participants were successfully captured on AVEM. Besides, diagnosis was conducted on epileptic seizure for 25% of patients, 10% of psychogenic nonepileptic seizure, and 44% on other nonepileptic events, thus creating a huge opportunity for the market growth.

Global Spectrum of Neurological Disorders: Prevalence and Impact Across Key Conditions

Incidence of Different Types of Neurological Disorders

Sources: WHO; NLM; International Journal of Nursing Sciences

Supply Chain Dynamics of Instruments for Cognitive Neuroscience

Global X-Ray, MRI, and Image Projectors Import and Export Data

Source: OEC, 2023

Challenges

• Delays in administrations: The presence of slow and strict regulatory clearances, especially in Europe and Japan, has delayed product launches by almost a year, which has enhanced R&D expenses, thus causing a hindrance in the cognitive neuroscience market. Besides, administrative bodies demand long-lasting clinical validation for neurodevices, which has slowed progress in the market. However, organizations have navigated this challenge by effectively engaging in pre-submission consultations, which has escalated EEG devices approvals, thereby creating an opportunity for the market to combat delays and continue to boost globally.
• Limited health budgets in developing nations: Low- and middle-income countries (LMICs) generally allocate less health budget for neurological care, which has negatively impacted the cognitive neuroscience market internationally. Additionally, this has limited accessibility to important treatments and diagnostics in these regions. For instance, patients suffering from Alzheimer’s in these nations are lacking accessibility to neuroimaging, owing to the existence of cost barriers. However, companies have launched suitable models, while few are collaborating with governments to achieve cost-effective EEG solutions.