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The cognitive enhancement wearable technology market was valued at USD 332.55 million in 2023. It is expected to grow at a CAGR of 15.2% during the forecast period of 2024-2032 and attain a market value of USD 1,189.24 million in 2032.
There has been a significant increase in number of patent applications associated with cognitive enhancement wearable technology and the market is driven by the need for cognitive enhancement tools that can help manage age-related cognitive decline growing as the world's population ages.
The Global Cognitive Enhancement Wearable Technology Patent Landscape Report provides a comprehensive and in-depth analysis of the patents in this growing industry. The key sections captured in the report for cognitive enhancement wearable technology include a thorough examination of the patent portfolios of key players, covering aspects such as the number of patents and types of technologies patented. It includes the latest trends, geographical distribution of patents, top IP player profiles, technological segmentation, and patent valuation. The breakdown of patents by technical segments is provided, giving more clarity on the specific areas of innovation within cognitive enhancement wearable technology technologies.
EEG-based wearable technology such as brainwave monitoring is used for cognitive enhancement to evaluate cognitive states like focus, relaxation, and attention. These gadgets can help users improve their cognitive function by guiding them through practices like meditation or concentration exercises and giving them real-time feedback. With the use of neurofeedback, it is expected to improve mental sharpness and productivity by teaching the brain to operate in the desired cognitive state.
Cognitive functioning wearable technology involves gadgets made to enhance cognitive abilities like memory, focus, and problem-solving skills. Typically, these technologies make use of techniques like brainwave monitoring, neurofeedback, or cognitive training exercises that are given through wearable sensors or gadgets. By offering individualized interventions based on patterns of brain activity and real-time feedback, they seek to improve mental performance and productivity.
The cognitive enhancement wearable technology market continues to evolve as key companies are becoming more interested in cognitive enhancement technologies to increase employee productivity and efficiency, particularly in creative or high-stakes roles. Moreover, a wider range of people can now access and find these technologies appealing as popular consumer wearables (such as fitness trackers and smartwatches) incorporated with cognitive enhancement features driving the demand for cognitive technologies.
Advancements in Neurofeedback Technology is Expected to Boost the Market Growth
The continuous development of sensor accuracy, data processing algorithms, and real-time feedback mechanisms in wearables for cognitive enhancement is driving the market. These developments have improved the effectiveness of cognitive training and enhancement and giving users more precise insights into their brain activity patterns.
For instance, NeuroSky has introduced the "MindWave Mobile 2" headset for users who are interested in tracking and improving their cognitive abilities. This gadget offers increased accuracy and usability. By measuring brainwaves and giving users feedback to help them maximize their mental performance, it advances the market through improved user experience and cutting-edge technology. Such advancements are essential to expanding the potential for neurofeedback and improving the wearable technology an overall efficacy. These technological advancements have increased patent grants recorded from 1,075 patents in 2022 to 1,224 patents in 2023.
Integration of Artificial Intelligence (AI) and Machine Learning (ML) is Expected to Propel the Cognitive Enhancement Wearable Technology Patent Industry
Using AI algorithms to optimize cognitive training programs, analyze brainwave data, and personalize user feedback has increased the demand for cognitive wearable technologies. By customizing interventions based on unique brain activity patterns, this integration improves the adaptability and efficacy of these wearables, improving user outcomes and spurring innovation.
The report provides an in-depth analysis of the patents in this field by the following segmentation:
Breakup by Technology
Breakup by Device Type
The breakup based on technology includes electroencephalogram (EEG), transcranial direct current stimulation (tDCS) and others. Cognitive enhancement wearable technology tracks usage and issue alerts, improving patient compliance and treatment efficiency. These developments enhance health outcomes and simplify neurological disease/disorder management, increasing its appeal to users.
Transcranial direct current stimulation (Tdcs) has electrodes applied to the scalp and is a non-invasive method of improving cognition that applies mild electrical currents to specific brain regions. It is thought to alter neural activity, which may improve cognitive abilities like memory, attention, and learning. tDCS is being investigated and used more often in clinical and research contexts due to its potential to enhance several cognitive performance parameters.
Detailed technological data will be provided for all specified segments classified in this report.
The United States is one of the leading jurisdictions for cognitive enhancement wearable technology patents, having around 18,500 patents. The presence of a well-established healthcare infrastructure, a robust legal framework and prominent research institutions engaged in innovations contributes to the patent landscape significantly.
China is another vital jurisdiction and holds a significant chunk of the global population. It is witnessing rapid growth in patent filings. The expanding healthcare landscape in the region contributes to the evolving research capabilities, thereby influencing a surge in patent applications.
Among the players with cognitive enhancement wearable technology patent families, new entrants have been identified, which can be either established companies or startups developing their first technology in the field. Some of the major companies mentioned in this report (a non-exhaustive list) are as follows:
IBM Corporation
It is a multinational technology and consulting firm known for its innovations in cloud computing, cognitive computing, and artificial intelligence (AI) was established in 1911. Healthcare, finance, and other industries have benefited greatly from IBM's Watson cognitive computing platform, which uses AI to evaluate massive datasets and deliver useful insights. IBM's experience with artificial intelligence and data analytics may help develop novel wearable technology solutions that improve cognitive abilities by using tailored, data-driven strategies.
Koninkl Philips Electronics NV
It is a multifaceted health and wellness business that was established in 1891 and is well-known for its advancements in lighting, consumer lifestyle goods, and healthcare. Healthcare technology has been advanced by Philips, with wearables and digital health solutions targeted at enhancing wellness and patient outcomes. Using its vast experience in medical devices and digital health innovations, Philips' expertise in healthcare technologies positions it to potentially develop integrated solutions that monitor and enhance cognitive functions in the field of wearable technology for cognitive enhancement.
Other companies include Abbott Lab, Nestec SA, and the University of California, among others.
The Global Cognitive Enhancement Wearable Technology Patent Report provides information on the intellectual property (IP) position and strategy of key players. This report can help companies and players looking to enter or invest in this field by:
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.
1 Introduction
2 Executive Summary
3 Global Cognitive Enhancement Wearable Technology Market Overview
3.1 Global Cognitive Enhancement Wearable Technology Market Historical Value (2017-2023)
3.2 Global Cognitive Enhancement Wearable Technology Market Forecast Value (2024-2032)
4 Global Cognitive Enhancement Wearable Technology Market Segmentation
4.1 Global Cognitive Enhancement Wearable Technology Market (2017-2032) By Technology
4.1.1 Market Overview
4.1.2 Electroencephalogram (EEG)
4.1.3 Transcranial Direct Current Stimulation (tDCS)
4.1.4 Others
4.2 Global Cognitive Enhancement Wearable Technology Market (2017-2032) by Device Type
4.2.1 Market Overview
4.2.2 Audio Headset
4.2.3 Head bands
4.2.4 Head Cap
4.2.5 Others
5 Global Market Dynamics
5.1 Market Drivers and Constraints
5.2 Porter’s Five Forces Analysis
5.3 PESTEL Analysis
5.4 Industry Events, Initiatives, and Trends
5.5 Value Chain Analysis
6 Global Cognitive Enhancement Wearable Technology Patent Landscape Analysis
6.1 Patent Distribution by Publication Year
6.2 Patent Distribution by Application Year
6.3 Patent Distribution by Priority Year
6.4 Analysis by Type of Patent
6.4.1 Granted Patents
6.4.2 Patent Application
6.4.3 Amended Application
6.4.4 Search Report
6.5 Analysis by Legal Status
6.5.1 Active
6.5.2 Pending
6.5.3 Expired/Discontinued
6.6 Analysis by Patent Jurisdiction
6.7 Analysis by Patent Age
6.8 Analysis by Cooperative Patent Classification (CPC) Codes
6.9 Average Time to Publish a Patent
6.9.1 By Entities
6.9.2 By Jurisdiction
6.9.3 By Technology
6.10 Analysis by Type of Entity (Academic and Non-Academic)
6.11 Analysis by Top Applicants
6.12 Analysis by Top Inventors
7 Global Cognitive Enhancement Wearable Technology Patent Analysis by Technology
7.1 Total Patents by Top Technologies
7.2 Time Evolution of Patents by Technology
7.3 Emerging Technologies
7.4 Patent Segmentation, By Technology
7.4.1 Time Evolution by Number of Patents
7.4.2 Time Evolution by Number of Patent Families
7.4.3 Analysis by Type of Entity (Academic vs Non-Academic)
7.4.4 Analysis by Top Applicants
7.4.5 Analysis by Top Inventors
7.5 Patent Segmentation, By Device Type
*Complete technology list will be provided in the report.
8 EMR Patent Valuation Analysis
8.1 Assessment Methodology
8.2 High Value Patents
8.3 Medium Value Patents
8.4 Low Value Patents
9 Global Cognitive Enhancement Wearable Technology – Top 10 Players Patent Analysis
9.1 Top 10 Entities by Number of Patents
9.2 Analysis by Publication Year
9.3 Analysis by Application Year
9.4 Analysis by Priority Year
9.5 Analysis by Type of Patent
9.6 Analysis by Jurisdiction
9.7 Analysis by Cooperative Patent Classification (CPC) Codes
9.8 Analysis by Source of Innovation
9.9 Analysis by Forward and Backward Citations
9.10 Analysis by Legal Status
9.11 Analysis by Patent Age
9.12 Analysis by Key Inventors
9.13 Entity Dynamics
9.13.1 Analysis by Type of Player (Academic vs Non-Academic)
9.13.2 Analysis by Collaboration
9.13.3 Analysis by Technology
9.13.4 Newcomers
9.13.4.1 Start-up Companies
9.13.4.2 Established Companies
10 Patent Profile of Key Players
10.1 Abbott Lab .
10.1.1 Product Portfolio
10.1.2 Patent Portfolio by Patent Families
10.1.3 Time Evolution of Patents
10.1.4 Geographical Patent Coverage
10.1.5 Patent Analysis by Technology
10.1.6 Patent News and Developments
10.1.7 Financial Analysis
10.1.8 SWOT Analysis
10.2 IBM Corporation
10.3 Nestec SA
10.4 University of California
10.5 Koninkl Philips Electronics NV
11 Future Trends
12 Global Cognitive Enhancement Wearable Technology Landscape (Additional Insight)*
12.1 Global Cognitive Enhancement Wearable Technology: Developers Landscape
12.1.1 Analysis by Year of Establishment
12.1.2 Analysis by Company Size
12.1.3 Analysis by Region
12.2 Global Cognitive Enhancement Wearable Technology: Product Landscape
12.2.1 Analysis by Technology
12.2.2 Analysis by Device Type
*Additional insights are not provided in the standard report.
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