Get a Sample
Schedule a Meeting
Get a Sample
Table Of Content
July 2025
The global cognitive neuroscience market size accounted for USD 41.44 billion in 2025 and is forecasted to hit around USD 73.98 billion by 2034, representing a CAGR of 6.65% from 2025 to 2034. The North America market size was estimated at USD 19.04 billion in 2024 and is expanding at a CAGR of 6.76% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.
The global cognitive neuroscience market size was calculated at USD 38.86 billion in 2024 and is predicted to increase from USD 41.44 billion in 2025 to approximately USD 73.98 billion by 2034, expanding at a CAGR of 6.65% from 2025 to 2034. The market is driven by the advancements in brain imaging technologies, the rising prevalence of neurological disorders, and the growing demand for cognitive health research and therapies.
The cognitive neuroscience market is an extremely specialized and fast-growing market of the neuroscience industry, which is concerned with the intricate neural processes underlying human cognition. Advanced technologies, including neuroimaging devices (fMRI, PET, EEG, MEG), brain monitoring devices, cognitive evaluation software, and computational modeling software, are also available in this market to enable further investigations of the processes of perception, memory, attention, decision-making, language processing, and consciousness.
The increased incidence of neurological and psychiatric conditions, including Alzheimer's disease, Parkinson's and depression, and ADHD, has necessitated the need to develop complex tools to understand the cognitive impairments and establish a viable solution to the condition. Simultaneously, neuroimaging technologies, such as high-resolution fMRI, real-time EEG, and hybrid systems of PET-MRI, have transformed the process of brain mapping, allowing researchers to obtain a deeper picture of neural pathways and the processes of thinking.
The integration of artificial intelligence and machine learning is changing the cognitive neuroscience market by changing the manner in which researchers manipulate complex brain data. AI-related algorithms and ML models can handle this information faster, more precisely, and expose latent patterns and correlations that can tell more about cognition, memory, decision-making, and brain adaptability. Predictive modeling also improves through the use of these technologies and allows diagnosing neurological diseases at an early stage and creating individualized treatment. Further, the development of AI will allow real-time brain mapping and adaptive brain-computer interfaces to further applications in healthcare, education, and human-computer interaction.
| Report Coverage | Details |
| Market Size by 2034 | USD 73.98 Billion |
| Market Size in 2025 | USD 41.44 Billion |
| Market Size in 2024 | USD 38.86 Billion |
| Market Growth Rate from 2025 to 2034 | CAGR of 6.65% |
| Dominating Region | North America |
| Fastest Growing Region | Asia Pacific |
| Base Year | 2024 |
| Forecast Period | 2025 to 2034 |
| Segments Covered | Technology Type, Application Area, End-User Sector, Product Type, Deployment Model, and Region |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Growing Burden of Psychiatric Disorders
The growing number of psychiatric disorders in the world includes depression, anxiety, schizophrenia, and bipolar disorder. Increased prevalence rates are being caused by an increase in stress levels, changes in lifestyle, and the aging population. Neuroscience technologies such as neuroimaging, brain monitoring, and software of cognitive assessment are needed to diagnose and plan treatment early, and learn about the disease processes. Such a need drives extensive use of novel technologies, with clinicians and scientists prioritizing patient outcomes and creating more effective neurotherapeutics. Also, the increased mental health awareness across the globe and government and private investment in psychiatric research contribute to the increased market growth.
High Cost of Advanced Technologies
The high-tech neuroimaging and brain monitoring technology is expensive is one of the restrictions to the cognitive neuroscience market. Functional MRI (fMMRI), PET scanners, and magnetoencephalography (MEG) devices are very capital-intensive and thus not easily accessible to small research centers, clinics, and emerging economies. Besides the cost of acquisition, maintenance, and operating costs, other costs exist that limit their adoption. Such elaborate systems also require trained personnel to operate and analyze the output, which poses an additional training and personnel expense.
Rising Investment in Brain Research
Brain research is gaining momentum in the cognitive neuroscience market, creating an enormous opportunity. Governments, research groups, and businesses are increasingly investing in enormous endeavors that aim to discover how the brain works and how to create a remedy for mental diseases. Such investment helps to develop superior neuroimaging machines, brain-computer interfaces, and brain evaluation networks. They allow accelerating the research-to-practice translation that can enhance cognition, mental health outcomes, and address neurological diseases as they support accelerated innovation. Moreover, changes in financial capabilities that promote cooperation among academia, medical care providers, and business actors drive the interdisciplinary advancements.
Why did the Magnetic Resonance Imaging segment lead the Cognitive Neuroscience Market in 2024?
The magnetic resonance imaging (MRI/fMRI) segment led the market while holding around 34% share in 2024, due to its non-invasive and high-spatial-resolution. MRI plays a very significant role in clinical and research practice, particularly in the study of neurological conditions and psychiatric conditions such as Alzheimer's disease, schizophrenia, and depression. Its capability of mapping region-specific brain morphology has helped researchers to gain a better insight into the impairments of cognition and their underlying mechanisms. Increased diffusion of technology, such as diffusion tensor imaging (DTI), has only enhanced the role of MRI by enabling visualisation of brain connectivity and integrity of white matter tracts in detail. As imaging precision and efficiency drive forward through its continued innovation, MRI remains the gold standard in cognitive neuroscience, and this is what makes it stand above other neuroimaging modalities.
The electroencephalography (EEG) segment is expected to grow at a significant CAGR over the forecast period, due to the increased popularity of portable, affordable, and real-time brain activity assessment devices. Wearable EEG and brain monitoring headsets are also increasing access and allowing cognitive neuroscience studies. Applications are also expanding the scope of use, as these innovations are also driving brain-computer interfaces, cognitive training, and neuromarketing. Wearable EEGs gain momentum among consumers and researchers in the face of the growing demand for customized healthcare and monitoring systems that can be employed in a home setting. To be more useful and more precise, the wireless connections, artificial intelligence signal processing, and miniature sensor technologies are improved technologically.
Why did the Memory & Learning Research Segment Capture the Largest Share of the Cognitive Neuroscience Market in 2024?
The memory & learning research segment held around 28% share in the market in 2024. The segment is aimed at the knowledge of the neural processes involved in memory formation, memory retention, memory retrieval, learning, and cognitive development processes. There is extensive use of tools like MRI, EEG, and sophisticated brain mapping tools to investigate disorders of the memory, such as Alzheimer's, dementia, and age-related cognitive decline. Also, research in the memory and learning area is critical in designing learning, educational programs, and rehabilitation therapy for patients with cognitive deficits. As the world grows worried about the neurological well-being and the elderly ageing population, there remains an increasing demand to use neuroscience-based findings on memory and learning to provide accurate data.
The neuromarketing & consumer behavior segment is expected to grow substantially in the Cognitive neuroscience market. Neuromarketing applies neuroscience methodologies of fMRI, EEG, and eye-tracking to consumer perception, perception processing, and response to marketing stimuli. By studying how the decision-making processes occur in the subconscious mind, how people emotionally react, and how individuals attend to things, companies are in a better position to understand consumer preferences and consumption patterns. The approach assists the companies in being more accurate in product design, advertising, and customer experience. The growing popularity of AI-based cognitive analysis solutions further expands the ability to access consumer brain activity in real-time, and the appeal of neuromarketing solutions rises.
Why did the Academic & Research Institutions Segment Lead the Cognitive Neuroscience Market in 2024?
The academic & research institutions segment led the market while holding a 42% share in 2024. The primary users of neuroimaging systems, EEG, and cognitive assessment platforms in a basic research and practice study are Research Centres, neuroscience laboratories, and other well-known universities. They focus on memory, learning, attention, decision-making, and neurological disease mechanisms. High governmental and private investments in neuroscience ventures, including BRAIN Initiative and Human Brain Project, have supported the uptake of sophisticated devices. Academic centers are also centers of innovation where institutions, in partnership with healthcare delivering organizations, pharmaceutical firms, and technological companies, will work to ensure basic research is translated to practical therapies and applications.
The pharmaceutical & biotechnology companies segment is expected to grow at a significant CAGR over the forecast period, because of the growing applicability of cognitive neuroscience in drug discovery, therapy development, and human-computer interaction. The use of neuroimaging and testing in cognitive testing is entering the pharmaceutical evaluation of the efficacy of neurotherapeutics in the treatment of diseases such as Alzheimer's, depression, and ADHD. The increased focus on personalized medicine and digital therapeutics is also increasing demand, as the fields continue to require accurate information on cognition and brain action. The field of neuroscience is considered the center of innovation, both medical and technological, hence this segment is set to grow rapidly and radically across the globe.
Why did the Neuroimaging Equipment & Systems Segment Lead the Cognitive Neuroscience Market in 2024?
The neuroimaging equipment & systems segment held around 39% share in the market in 2024. Such advanced imaging methods as functional MRI (fMRI), PET, CT, and MEG are still indispensable in the study of brain structure and its function. Neuroimaging has been especially instrumental in the research of neurological and psychiatric disorders like Alzheimer's disease, schizophrenia, depression, and epilepsy, and has provided information about the connectivity of the brain and cognitive impairment. The ever-evolving advanced imaging methods, such as diffusion tensor imaging (DTI) and hybrid PET-MRI systems, have continued to broaden their use, where scientists have the opportunity to visualize white matter tracts and functional brain networks in the most detailed ways. The high demand in academic research, health care, and pharmaceutical industries, neuroimaging equipment is leading the market with the biggest percentage of revenues.
The AI-powered brain analysis & wearables segment is expected to grow substantially in the Cognitive neuroscience market. EEG sensors and brain-monitor components integrated into wearables have grown in popularity to serve as real-time cognitive-tracking, mental health-monitoring, and customized applications of brain training. AI-enabled platforms optimize these solutions with the ability to process vast amounts of data, detect small brain activities, and provide predictive data on cognitive performance and brain health. Brain-computer interfaces, neuromarketing, and consumer wellness products are also innovated with the help of these technologies. Moreover, they are portable, economical, and easy to use, and thus more accessible than the traditional neuroimaging systems. They are increasingly finding their way into the market with increased adoption by healthcare providers, researchers, and consumers.
Why did the Laboratory-Based Systems Segment Lead the Cognitive Neuroscience Market in 2024?
The laboratory-based systems segment led the market while holding around 41% share in 2024, because the systems have remained the foundation of high-end neuroscience research and clinical investigations. Laboratories are equipped with Technologies like fMRI, PET, MEG, and EEG that offer a framework within which one can perform high-precision experiments and in-depth studies of the brain. Their control is enhanced by high uptake in institutions of higher learning and research institutions, and hospitals, where accuracy and reliability are paramount. Moreover, there are systems that operate within the laboratory that can be characterized by ongoing government and non-government investments in neuroscience research that guarantee continuous technological improvements and advancement.
The cloud-based analytics platforms segment is expected to grow at a significant CAGR over the forecast period, because there will be an increasing demand to access, scale, and provide real-time cognitive data analysis. The solutions utilize AI and cloud computing to computationally handle large volumes of neuroimaging, EEG, and behavior data more effectively, allowing researchers and clinicians to work remotely and exchange ideas. The growth of mobile applications enables uses beyond the laboratory with wearable brain-monitoring devices, which have the potential to be used at home as an opportunity to monitor cognitive health and mental wellness, as well as education-based learning applications. Further, the increased emphasis on personalized medicine and digital healthcare is driving the use of mobile and cloud-based systems.
The U.S. cognitive neuroscience market size was exhibited at USD 13.33 billion in 2024 and is projected to be worth around USD 25.82 billion by 2034, growing at a CAGR of 6.83% from 2025 to 2034.
Why did North America Lead the Cognitive Neuroscience Market in 2024?
North America led the global market with the highest market share of around 43% in 2024. The predominance in the region is supported by its well-developed healthcare facilities, well-established research environment, and well-developed level of technology integration in both clinical and commercial settings. The area is equipped with the latest neuroimaging and brain monitoring systems in leading academic institutions and research laboratories, and hospitals, which facilitate radical research in the fields of cognition, neurological disorders, and mental health. Increased mental health awareness, as well as a growing number of neurological and psychiatric disorders, is becoming an additional force behind the need for sophisticated diagnostic and monitoring tools in North America.
In North America, the United States has a significantly large proportion of the cognitive neuroscience market; it is a leader in innovation, investment in healthcare, and research excellence. The well-developed healthcare system, high purchasing power of consumers in the country, form an ideal environment to embrace high-quality neuroimaging machines, AI-driven brain analysis software, and wearable brain monitors. An increase in the number of cases of neurological disorders, e.g. Alzheimer's, Parkinson and depression, and an increased interest in preventive health services are driving up the need to have early diagnostic and monitoring devices.
Why is Asia Pacific Undergoing the Fastest Growth in the Cognitive Neuroscience Market?
Asia Pacific is estimated to grow at the fastest CAGR during the forecast period, due to growth in investments in the health sector, research capacity, and the prevalence of neurological disorders. The governments of the countries in the region are appreciating the role played by brain research in the health and innovation of technology, and as such are increasing their support of it through the government and increasing their participation in the private sector. The booming use of cognitive neuroscience tools and applications, especially in clinical diagnostics, education, and consumer wellness, is due to rapid urbanization, the increasing number of middle-class individuals, and increased mental-health awareness. Also, innovations in the field of digital health, wearable computing, and the implementation of AI are bringing cognitive neuroscience closer and more affordable in this area.
China has become central to the rapid growth of the Asia Pacific, since it is significantly increasing investments into neurotechnology, brain-computer interfaces (BCI), and AI neuroscience development. Some startups and large technology firms, including Tencent and Alibaba, are joining this market and are pushing innovations in brain monitoring, cognitive analytics, and digital therapeutics. Cognitive neuroscience is also being used by the strong pharmaceutical and biotechnology sectors in the country to discover drugs faster and to come up with interventions to treat mental disorders and the neurodegenerative diseases like Alzheimer's and Parkinson's. China has a robust domestic demand, a robust R&D capacity, and a larger base of innovative firms, and is becoming the most important driver of growth in the Asia Pacific.
By Technology Type
By Application Area
By End-User Sector
By Product Type
By Deployment Model
By Region
For inquiries regarding discounts, bulk purchases, or customization requests, please contact us at sales@precedenceresearch.com
No cookie-cutter, only authentic analysis – take the 1st step to become a Precedence Research client
July 2025
June 2025
July 0202