市場調查報告書
商品編碼
1372010
2030 年認知神經科學市場預測:按類型、組成部分、用途和地區分類的全球分析Cognitive Neuroscience Market Forecasts to 2030 - Global Analysis By Type, Component, Application and By Geography |
根據 Stratistics MRC 的數據,2023 年全球認知神經科學市場規模為 367.2 億美元,預測期內年複合成長率為 8%,到 2030 年將達到 629.3 億美元。
了解支撐人類認知的神經過程,包括知覺、記憶、語言、決策和問題解決,是認知神經科學跨領域研究的重點。認知神經科學整合了心理學、神經學和其他相關領域的要素,研究大腦如何管理各種認知過程。資金籌措水準可能會根據政府目標、公共利益和財務狀況而有所不同。一些製藥公司正在開發針對認知過程的藥物和治療方法,這可能有助於治療阿茲海默症、過動症並增強認知能力。
據帕金森氏症基金會稱,到年終年底,美國將有大約100萬人患有帕金森氏症(PD),每年有近6萬名美國被診斷出患有該疾病。
認知神經科學市場在很大程度上是由神經影像技術的開拓塑造和驅動的。這些進展使研究人員能夠更多地了解人類認知和行為的神經基礎。 MRI 技術的進步使得高解析度結構和功能性腦成像成為可能。此外,高場 MRI 掃描儀(如 3T 和 7T)的強大磁場可提供更好、更準確的大腦結構和功能活動影像。功能性磁振造影技術的進步,包括多波段成像和快速成像方法,使研究人員能夠以更高的時間解析度記錄大腦活動。
認知神經科學產業的設備和技術成本可能是尋求研究和臨床評估的研究人員、大學和組織的主要障礙。認知神經科學研究中使用的機械和技術的專業和尖端性是造成高成本的主要原因。 3 Tesla (3T) 和 7 Tesla (7T) 等高場 MRI 掃描儀的購買和維護費用昂貴。無線電示踪劑、PET 掃描儀和設施維護成本也可能很高。購買具有專用硬體進行資料分析的高效能電腦非常昂貴。用於神經成像和資料處理的專用軟體工具通常具有許可成本,這阻礙了市場成長。
認知神經科學也應用於領域領域,提供改善學習成果的方法和資源。個人化學習平台和適應性強的學習材料是這些策略的一部分。認知神經科學市場還包括緩解壓力、增強情緒調節和增強心理韌性的策略,因為它們可以直接影響認知功能。一些組織為各領域的專業人員提供特定的培訓計劃,包括軍事人員、運動員和商界領袖。研究仍在持續開發針對認知過程的藥物。這些藥物旨在改善記憶力、注意力和其他認知功能。這些藥物可用於治療情況並改善健康人的認知功能。
倫理和法規審查可以顯著增加認知神經科學研究和發展所需的時間。獲得道德許可和談判法規程序可能會延遲研究的開始和結束時間,從而減慢科學進步的速度。遵守道德和法律義務的補償有時很高。這包括維持適當的研究方法的成本、遵守法規的行政成本以及在道德審查委員會任職的成本。此外,進行跨國研究在後勤和管理上都可能很困難,因為研究人員通常必須管理其他國家不同的法規和道德要求。
由於封鎖、社交距離措施以及實驗室和研究業務的限制,一些認知神經科學研究計畫和調查已被取消或推遲。對於研究人員來說,訪問研究設施和招募參與者可能很困難,從而影響了計畫持續時間和資料收集。由於疫情爆發,各國政府和組織削減了支出,並重新安排了贊助研究的優先順序。在某些情況下,認知神經科學研究資金似乎已轉移到與 COVID-19 相關的項目。
造影(EEC)部分預計將經歷良好的成長,因為它經常用於檢查與多種認知功能相關的大腦活動,例如注意力、記憶、語言和情緒。分析 EEC資料的軟體和方法對於認知神經科學研究人員至關重要。這些程式允許處理和分析這些資料,以便獲得有關認知活動期間大腦工作的知識。神經回饋利用 EEC 提供即時回饋,教導人們如何控制或修改他們的大腦活動。用途包括改善認知功能和減輕壓力,推動市場成長。
由於大腦活動、行為和認知的研究高度依賴認知神經科學中使用的工具,因此設備領域預計在預測期內將出現最高的年複合成長率。這些工具對於多項研究和臨床應用中的資料收集、處理和解釋至關重要。影像設備、腦電圖(EEG)、經顱磁刺激(TMS)和經顱直流電刺激(tDCS)是認知神經科學領域經常使用的一些設備和技術。此外,不斷的技術進步,例如更攜帶、更便宜的神經成像技術和更好的資料分析方法的開發,是認知神經科學設備市場的特徵。這些設備經常用於研究和治療環境,以了解有關認知過程、腦部疾病以及認知改善和復原的潛在治療方法的更多資訊。
預計亞太地區在預測期內將佔據最大的市場佔有率,因為該地區失智症罹患率預計將是市場成長的主要原因。據認為,亞太地區的失智症患者比例最高。隨著人口高齡化,失智症患者數量預計將增加,從而推動該地區對認知神經科學的需求。例如,認知神經科學可以透過提供對神經途徑的見解來幫助預防和治療失智症。
預計北美在預測期內將經歷最高的年複合成長率。由於該地區焦慮和憂鬱的患病不斷上升,對認知神經科學的需求不斷增加,該地區的市場也預計將擴大。例如,在美國,4.91%的人患有嚴重的精神疾病。按州分類,成人精神疾病患病從新澤西州的 16.37% 到猶他州的 26.86%,這推動了市場的成長。
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.
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