Cognitive Neuroscience Market Report 2026

The cognitive neuroscience market size has grown strongly in recent years. It will grow from $26.15 billion in 2025 to $27.79 billion in 2026 at a compound annual growth rate (CAGR) of 6.3%. The growth in the historic period can be attributed to increasing adoption of neuroimaging techniques, growing investment in brain research, rising prevalence of neurological disorders, expansion of academic research initiatives, and development of advanced imaging technologies.

The cognitive neuroscience market size is expected to see strong growth in the next few years. It will grow to $35.02 billion in 2030 at a compound annual growth rate (CAGR) of 6%. The growth in the forecast period can be attributed to increasing integration of AI and machine learning in cognitive neuroscience, growing funding from public and private sectors, rising demand for personalized medicine applications, expansion of portable and non-invasive imaging devices, and increasing collaboration between pharmaceutical companies and research institutes. Major trends in the forecast period include technology advancements in functional and multimodal imaging, innovations in real-time brain monitoring systems, development of neuroinformatics and big data integration, advancements in personalized treatment solutions, and investment in cognitive neuroscience applications for psychiatry.

The increasing research on brain function and cognition is expected to propel the growth of the cognitive neuroscience market going forward. Increasing research refers to the rising volume of scientific studies, funding, and project activity that enhance understanding of neural mechanisms underpinning perception, memory, attention, language, decision-making, and related cognitive processes. Research activity expands because governments and public institutions prioritize neuroscience as a strategic scientific and health domain. The cognitive neuroscience supports research on brain function and cognition by supplying experimental tools, analytical methods, training initiatives, and collaborative research frameworks that investigators need to conduct and publish neuroscience work. For instance, in December 2023, according to the NIH BRAIN Initiative, a US-based government program, the initiative funded over 150 new neuroscience research projects totaling more than $220 million, up from 130 projects totaling $180 million in 2022, marking a 15.4 % increase in project count and a 22.2 % rise in funding year over year. Therefore, the increasing research on brain function and cognition is driving the growth of the cognitive neuroscience market.

The growing adoption of personalized medicine and complex infusion protocols is anticipated to drive the expansion of the cognitive neuroscience sector in the coming years. Personalized medicine involves customizing medical treatments, including drug selection and dosing, based on individual patient characteristics such as genetics, biomarkers, and disease profiles. The growth of personalized medicine is fueled by the increasing approval and clinical use of targeted therapies that demand highly individualized intravenous dosing and preparation. Cognitive neuroscience facilitates personalized medicine by offering insights into individual brain function and neural biomarkers, supporting tailored treatment approaches for neurological and psychiatric disorders. For example, in November 2025, the Personalized Medicine Coalition, a US-based nonprofit organization, reported that the US Food and Drug Administration approved 18 new personalized medicines in 2024, representing over 25% of all new drug approvals, following 20 personalized medicine approvals in 2023, many of which require individualized IV preparation. Consequently, the increasing adoption of personalized medicine and complex infusion protocols is fueling the growth of the cognitive neuroscience sector.

Leading companies in the cognitive neuroscience sector are emphasizing the deployment of next-generation deep learning EEG platforms, including large neural model platforms, to enhance brain signal analysis, cognitive monitoring, and early detection of neurological disorders. Large neural model platforms are computational systems designed to develop, train, deploy, and manage large-scale neural network models, commonly used in artificial intelligence (AI) and machine learning (ML) applications. For example, in June 2025, BrainScope Inc., a US-based neurotechnology firm, introduced its advanced EEG-based Large Neural Model deep learning platform, featuring AI-driven automated EEG interpretation, expanded clinical condition support for concussion, stroke, and early Alzheimer’s detection, and improved real-time biomarker extraction for precision diagnostics and clinical trial applications. The platform allows clinicians and researchers to acquire clinically actionable insights into brain function more quickly, with reduced dependence on specialized qEEG interpretation. This launch marks a major technological advancement by integrating AI-powered EEG analytics with scalable clinical applications, connecting neurotechnology innovation to enhanced patient care and research efficiency.

Major companies operating in the cognitive neuroscience market are Magstim Company Limited, Philips International B.V., GE HealthCare Technologies Inc., Bruker Corporation, United Imaging Healthcare Co. Ltd., Brainbox Ltd., iMotions A/S, Blackrock Neurotech LLC, Advanced Brain Monitoring Inc., Compumedics Limited, BrainGate Inc., NeuroBehavioral Systems Inc., Neurospec AG, Emotiv Inc., Cogstate Ltd., Akili Interactive Labs Inc., MindMaze SA, Brain Products GmbH, Cambridge Cognition Ltd., ANT Neuro B.V., Canon Medical Systems Corporation.

North America was the largest region in the cognitive neuroscience market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cognitive neuroscience market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the cognitive neuroscience market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs have influenced the cognitive neuroscience market by affecting the import and cost of high-end neuroimaging equipment, electrophysiological monitoring devices, and advanced laboratory tools. regions such as north america and europe, which rely on imported imaging technologies, are particularly impacted, leading to increased operational costs for research institutes and hospitals. while tariffs may slow equipment acquisition, they encourage local manufacturing and innovation, driving cost-efficient solutions and alternative sourcing strategies for the market.

Cognitive neuroscience is the scientific investigation of how the brain supports thought, emotion, memory, and decision-making. It combines concepts from neuroscience and psychology to examine the biological foundations of cognitive functions. This discipline employs advanced techniques and methods to study how neural activity produces human behavior.

The key types of cognitive neuroscience tools include magnetic resonance imaging (MRI), functional MRI, positron emission tomography, magnetoencephalography, electroencephalography, near-infrared spectroscopy, and single-photon emission computed tomography. MRI is a non-invasive imaging technique that uses magnetic fields and radio waves to generate detailed structural brain images, supporting the study of brain anatomy and function. These tools are supported by technologies such as neuroimaging platforms, electrophysiological monitoring, neurostimulation systems, and digital software-based solutions. Applications include brain imaging, neurological research, neurological disorders, and psychiatry, serving end users such as pharmaceutical companies, clinical and research laboratories, academic institutes, hospitals, and pathology laboratories.

The cognitive neuroscience market includes revenues earned by entities by providing services such as neuropsychological assessment, cognitive function testing, brain mapping services, neuroimaging analysis, cognitive rehabilitation, neurological consultation, research and data interpretation, cognitive behavioural therapy, and clinical trial support. The market value includes the value of related goods sold by the service provider or included within the service offering. The cognitive neuroscience market also includes sales of brain imaging systems, electroencephalography devices, cognitive assessment software, neurostimulation equipment, brain-computer interface systems, neural data analytics platforms, cognitive training tools, functional imaging sensors, and wearable neurotechnology devices. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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