市场调查报告书
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1372010
2030 年认知神经科学市场预测:按类型、组成部分、用途和地区分類的全球分析Cognitive Neuroscience Market Forecasts to 2030 - Global Analysis By Type, Component, Application and By Geography |
根据 Stratistics MRC 的数据,2023 年全球认知神经科学市场规模为 367.2 亿美元,预测期内年复合成长率为 8%,到 2030 年将达到 629.3 亿美元。
了解支撑人类认知的神经过程,包括知觉、记忆、语言、决策和问题解决,是认知神经科学跨领域研究的重点。认知神经科学整合了心理学、神经学和其他相关领域的要素,研究大脑如何管理各种认知过程。资金筹措水准可能会根据政府目标、公共利益和财务状况而有所不同。一些製药公司正在开发针对认知过程的药物和治疗方法,这可能有助于治疗阿兹海默症、过动症并增强认知能力。
据帕金森氏症基金会称,到年终年底,美国将有大约100万人患有帕金森氏症(PD),每年有近6万名美国被诊断出患有该疾病。
认知神经科学市场在很大程度上是由神经影像技术的开拓塑造和驱动的。这些进展使研究人员能够更多地了解人类认知和行为的神经基础。 MRI 技术的进步使得高解析度结构和功能性脑成像成为可能。此外,高场 MRI 扫描仪(如 3T 和 7T)的强大磁场可提供更好、更准确的大脑结构和功能活动影像。功能性磁振造影技术的进步,包括多波段成像和快速成像方法,使研究人员能够以更高的时间分辨率记录大脑活动。
认知神经科学产业的设备和技术成本可能是寻求研究和临床评估的研究人员、大学和组织的主要障碍。认知神经科学研究中使用的机械和技术的专业和尖端性是造成高成本的主要原因。 3 Tesla (3T) 和 7 Tesla (7T) 等高场 MRI 扫描仪的购买和维护费用昂贵。无线电示踪剂、PET 扫描仪和设施维护成本也可能很高。购买具有专用硬体进行资料分析的高效能电脑非常昂贵。用于神经成像和资料处理的专用软体工具通常具有许可成本,这阻碍了市场成长。
认知神经科学也应用于领域领域,提供改善学习成果的方法和资源。个人化学习平台和适应性强的学习材料是这些策略的一部分。认知神经科学市场还包括缓解压力、增强情绪调节和增强心理韧性的策略,因为它们可以直接影响认知功能。一些组织为各领域的专业人员提供特定的培训计划,包括军事人员、运动员和商界领袖。研究仍在持续开发针对认知过程的药物。这些药物旨在改善记忆力、注意力和其他认知功能。这些药物可用于治疗情况并改善健康人的认知功能。
伦理和法规审查可以显着增加认知神经科学研究和发展所需的时间。获得道德许可和谈判法规程序可能会延迟研究的开始和结束时间,从而减慢科学进步的速度。遵守道德和法律义务的补偿有时很高。这包括维持适当的研究方法的成本、遵守法规的行政成本以及在道德审查委员会任职的成本。此外,进行跨国研究在后勤和管理上都可能很困难,因为研究人员通常必须管理其他国家不同的法规和道德要求。
由于封锁、社交距离措施以及实验室和研究业务的限制,一些认知神经科学研究计画和调查已被取消或推迟。对于研究人员来说,访问研究设施和招募参与者可能很困难,从而影响了计画持续时间和资料收集。由于疫情爆发,各国政府和组织削减了支出,并重新安排了赞助研究的优先顺序。在某些情况下,认知神经科学研究资金似乎已转移到与 COVID-19 相关的项目。
造影(EEC)部分预计将经历良好的增长,因为它经常用于检查与多种认知功能相关的大脑活动,例如注意力、记忆、语言和情绪。分析 EEC资料的软体和方法对于认知神经科学研究人员至关重要。这些程式允许处理和分析这些资料,以便获得有关认知活动期间大脑工作的知识。神经回馈利用 EEC 提供即时回馈,教导人们如何控製或修改他们的大脑活动。用途包括改善认知功能和减轻压力,推动市场成长。
由于大脑活动、行为和认知的研究高度依赖认知神经科学中使用的工具,因此设备领域预计在预测期内将出现最高的年复合成长率。这些工具对于多项研究和临床应用中的资料收集、处理和解释至关重要。影像设备、脑电图(EEG)、经颅磁刺激(TMS)和经颅直流电刺激(tDCS)是认知神经科学领域经常使用的一些设备和技术。此外,不断的技术进步,例如更便携、更便宜的神经成像技术和更好的资料分析方法的开发,是认知神经科学设备市场的特征。这些设备经常用于研究和治疗环境,以了解有关认知过程、脑部疾病以及认知改善和復原的潜在治疗方法的更多资讯。
预计亚太地区在预测期内将占据最大的市场占有率,因为该地区失智症罹患率预计将是市场成长的主要原因。据认为,亚太地区的失智症患者比例最高。随着人口高龄化,失智症患者数量预计将增加,从而推动该地区对认知神经科学的需求。例如,认知神经科学可以透过提供对神经途径的见解来帮助预防和治疗失智症。
预计北美在预测期内将经历最高的年复合成长率。由于该地区焦虑和忧郁的患病不断上升,对认知神经科学的需求不断增加,该地区的市场也预计将扩大。例如,在美国,4.91%的人患有严重的精神疾病。按州划分,成人精神疾病患病从新泽西州的 16.37% 到犹他州的 26.86%,这推动了市场的成长。
According to Stratistics MRC, the Global Cognitive Neuroscience Market is accounted for $36.72 billion in 2023 and is expected to reach $62.93 billion by 2030 growing at a CAGR of 8% during the forecast period. Understanding the neurological processes underpinning human cognition, including perception, memory, language, decision-making, and problem-solving, is the focus of the interdisciplinary study of cognitive neuroscience. It integrates components of psychology, neurology, and other relevant fields to look into how the brain manages different cognitive processes. Based on governmental goals, public interest, and monetary situations, the level of financing may change. Some pharmaceutical firms could create medications and therapies that target cognitive processes, which might be useful for treating Alzheimer's disease, ADHD, or enhancing cognitive abilities.
According to the Parkinson's Foundation organization approximately one million people will be living with Parkinson's disease (PD) in the United States by the end of the year 2020, and nearly 60,000 Americans are diagnosed with Parkinson's disease each year.
The market for cognitive neuroscience has been significantly shaped and driven by developments in neuroimaging technologies. These developments have made it possible for researchers to learn more about the neurological underpinnings of human cognition and behaviour. High-resolution structural and functional brain imaging has been made possible by improvements in MRI technology. Moreover, the stronger magnetic fields in high-field MRI scanners (such the 3T and 7T) produce better, more precise pictures of brain structures and functional activity. Researchers can now record brain activity at a higher temporal resolution because to advancements in fMRI techniques including multiband imaging and quicker acquisition methods.
For researchers, universities, and organizations wishing to undertake studies or clinical assessments, the price of equipment and technology in the cognitive neuroscience industry can be a substantial obstacle. The specialized and cutting-edge nature of the machinery and technology used in cognitive neuroscience research is mostly to blame for the high expenses. The cost of purchasing and maintaining high-field MRI scanners, such the 3 Tesla (3T) and 7 Tesla (7T), is high. The price of radiotracers, PET scanners, and facility upkeep might be high. It can be expensive to purchase high-performance computers with specialized hardware for data analysis. Licensing costs are frequently associated with proprietary software tools for neuroimaging and data processing which hampers the growth of the market.
Cognitive neuroscience is used to the field of education to provide methods and resources that enhance learning results. Platforms for individualized learning and adaptable instructional materials are some of these strategies. The market for cognitive neuroscience includes strategies to ease stress, enhance emotional control, and increase mental toughness since they can directly affect cognitive function. For professionals in a variety of disciplines, including military people, athletes, and corporate leaders, several organizations provide specific training programs. There is continuing research into the creation of medications that target cognitive processes. These medications aim to improve memory, focus, or other cognitive functions. They can be applied in therapeutic circumstances or to improve cognitive function in healthy people.
The time needed for research and development in cognitive neuroscience might be significantly increased by ethical and regulatory evaluations. Studies' beginning and ending dates may be delayed due to obtaining ethical permission and negotiating regulatory procedures, thereby slowing the rate of scientific advancement. The price of adhering to ethical and legal obligations is sometimes higher. These might include the costs of maintaining appropriate research methods, administrative expenditures for compliance, and fees for ethical review board membership. Moreover, it may be difficult logistically and administratively to undertake cross-border research since researchers frequently have to manage a variety of foreign rules and ethical requirements.
Lockdowns, social distancing techniques, and limitations on lab and research operations caused several cognitive neuroscience research projects and studies to be halted or postponed. Access to research facilities and participant recruitment were difficult for researchers, which may have impacted project timeframes and data collecting. Governments and organizations cut back on spending and rearranged their priorities for sponsoring research as a result of the epidemic. Research funds for cognitive neuroscience may have been diverted to COVID-19-related initiatives in some cases.
The encephalography (EEC) segment is estimated to have a lucrative growth, as it is frequently used to examine brain activity linked to several cognitive functions, including attention, memory, language, and emotion. Software and methods for analysing EEC data are crucial for cognitive neuroscience researchers. These programs enable the processing and analysis of its data in order to glean knowledge about the functioning of the brain during cognitive activities. In order to teach people how to control or modify their brain activity, neurofeedback employs EEC to present them with real-time feedback. Applications for this include improving cognitive function and reducing stress which boost the growth of the market.
The instruments segment is anticipated to witness the highest CAGR growth during the forecast period, because the study of brain activity, behaviour, and cognition heavily relies on the tools employed in cognitive neuroscience. For data collection, processing, and interpretation in several research and clinical applications, these tools are crucial. Neuroimaging equipment, electroencephalography (EEG), transcranial magnetic stimulation (TMS), and transcranial direct current stimulation (tDCS) are a few of the frequently used equipment and technologies in the cognitive neuroscience sector. Additionally, continuous technical progress, such as the creation of more portable and inexpensive neuroimaging technologies and better data analysis methods, characterizes the market for cognitive neuroscience instruments. These tools are frequently used to learn more about cognitive processes, brain illnesses, and prospective therapies for cognitive improvement and rehabilitation in both research and therapeutic settings.
Asia Pacific is projected to hold the largest market share during the forecast period owing the region's rising incidence of dementia may be largely blamed for the market's growth. The biggest percentage of people worldwide living with dementia is believed to be in the Asia Pacific area. Dementia cases are predicted to increase as the population ages, which are predicted to boost the demand for cognitive neuroscience in the area. For instance, by offering insights into the neurological pathways, cognitive neuroscience aids in the prevention and treatment of dementia.
North America is projected to have the highest CAGR over the forecast period, owing to the rising prevalence of anxiety and depression in the area has led to an increase in the need for cognitive neuroscience, therefore market expansion in the region is also anticipated. For instance, in the United States, 4.91% of people have a severe psychiatric condition. State-by-state, the prevalence of adult mental illnesses ranges from 16.37% in New Jersey to 26.86% in Utah which are propelling the growth of the market.
Some of the key players profiled in the Cognitive Neuroscience Market include: Danaher Corp, Carl Zeiss AG, Siemens Healthcare Private Limited, Canon Inc, Medtronic, Stryker, Boston Scientific Corp, ABBOTT, Koninklijke Philips N.V, Terumo Corp, B. Braun SE, Alpha Omega Inc., Biobserve GmbH, NeuroNexus Technology, Laserglow Technologies, Kendall Research Systems LLC and Scientifica Ltd.
In October 2023, ZEISS Medical Technology and Boehringer Ingelheim announced a long-term strategic collaboration to develop predictive analytics to enable early detection of eye diseases and more personalized treatments to prevent vision loss for people with serious eye diseases.
In October 2023, Nanoimprint lithography semiconductor manufacturing system that covers diverse applications with simple patterning mechanism, which executes circuit pattern transfer, the most important semiconductor manufacturing process.
In March 2023, Danaher Corporation a global science and technology innovator, announced a strategic partnership with the University of Pennsylvania (Penn) focusing on cell therapy innovation.