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市場調查報告書
商品編碼
1472123
2023-2030 年全球神經形態晶片市場規模研究與預測(按應用、垂直和區域分析)Global Neuromorphic Chip Market Size Study & Forecast, By Application By Vertical and Regional Analysis, 2023-2030 |
2022年全球神經形態晶片市場價值約2,678萬美元,預計在2023-2030年預測期內將以超過67.3%的健康成長率成長。神經形態晶片是一種微處理器,旨在模仿人腦神經網路的結構和功能。這些晶片採用的架構建構而成,利用大規模平行處理元件和專用電路來執行模式識別、感覺處理和學習等任務,類似神經元在大腦中的運作方式。由於人工智慧在醫療保健產業的不斷融合以及腦神經系統癌症的盛行率不斷上升等因素,神經形態晶片市場正在不斷擴大。神經形態晶片旨在實現高效率和低功耗,使其可能適用於人工智慧、機器人和感測器系統等即時處理和低能耗至關重要的應用。因此,在2023-2030年的預測期內,全球市場對神經形態晶片的需求將逐漸增加。
神經形態晶片本質上是靈活的,可以針對特定的醫療保健應用進行客製化。他們可以適應新資料並從中學習,從而隨著時間的推移不斷改進和最佳化人工智慧演算法。這種適應性在動態和不斷發展的醫療保健領域尤其有價值,因為新的醫療見解和技術經常出現。根據Statista預測,2021年全球人工智慧在醫療保健產業的價值預計約為110億美元。預計到 2030 年,全球醫療保健人工智慧業務價值將接近 1,880 億美元。神經形態晶片也可用於為癌症患者制定個人化治療計劃。透過分析大量患者資料,包括遺傳資訊、影像結果和治療反應,這些晶片可以幫助腫瘤學家針對個別患者制定治療方案,從而獲得更有效的結果並減少副作用。此外,根據全球癌症觀察站的數據,2020 年全球腦癌和神經系統癌症病例數為 30.8 萬例,預計到 2030 年將達到 37.2 萬例。與電子產品結合的新興趨勢預計將在預測期內為市場創造利潤豐厚的成長機會。然而,與複雜演算法相關的挑戰和神經擬態技術的高成本將阻礙 2023-2030 年預測期內的整體市場成長。
全球神經形態晶片市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲以及中東和非洲。由於該地區擴大採用自動化和機器人技術,北美將在 2022 年佔據市場主導地位。自動化和機器人系統需要高效處理感測資料、即時決策並適應不斷變化的環境。受人腦架構啟發的神經形態晶片提供平行處理和低功耗,使其非常適合這些任務。該地區的主導表現預計將推動神經形態晶片的整體需求。此外,由於該地區對人工智慧系統的需求不斷增加等因素,預計亞太地區在預測期內將成長最快。神經形態晶片的靈感來自於大腦的節能設計,與傳統的 CPU 和 GPU 相比,其功耗顯著降低。這項特性對於部署在資源受限環境或電池供電設備中的人工智慧應用尤其有價值,進一步推動了它們在人工智慧市場的採用。
研究的目的是確定近年來不同細分市場和國家的市場規模,並預測未來幾年的價值。該報告旨在納入參與研究的國家內該行業的定性和定量方面。
該報告還提供了有關關鍵方面的詳細資訊,例如將決定市場未來成長的促進因素和挑戰。此外,它還納入了利害關係人投資的微觀市場的潛在機會,以及對主要參與者的競爭格局和產品供應的詳細分析。
Global Neuromorphic Chip Market is valued at approximately USD 26.78 million in 2022 and is anticipated to grow with a healthy growth rate of more than 67.3% over the forecast period 2023-2030. Neuromorphic chips are a type of microprocessor designed to mimic the structure and function of the human brain's neural networks. These chips are built with architectures that utilize massively parallel processing elements and specialized circuitry to perform tasks such as pattern recognition, sensory processing, and learning, similar to how neurons operate in the brain. The Neuromorphic Chip market is expanding because of factors such as the rising integration of artificial intelligence in the healthcare industry and the growing prevalence of brain nervous system cancer. Neuromorphic chips aim to achieve high efficiency and low power consumption, making them potentially suitable for applications like artificial intelligence, robotics, and sensor systems where real-time processing and low energy consumption are critical. As a result, the demand for Neuromorphic Chip has progressively increased in the global market during the forecast period 2023-2030.
Neuromorphic chips are inherently flexible and can be customized for specific healthcare applications. They can adapt and learn from new data, enabling continuous improvement and optimization of AI algorithms over time. This adaptability is particularly valuable in the dynamic and evolving field of healthcare, where new medical insights and technologies emerge regularly. According to Statista, in 2021, global artificial intelligence in the healthcare industry was estimated to be valued at approximately USD 11 billion. It was projected that the worldwide healthcare AI business would be worth almost USD 188 billion by 2030. Another important factor that drives the Neuromorphic Chip market is the increasing prevalence of brain nervous system cancer. Neuromorphic chips can also be utilized in the development of personalized treatment plans for cancer patients. By analyzing vast amounts of patient data, including genetic information, imaging results, and treatment responses, these chips can help oncologists tailor treatments to individual patients, leading to more effective outcomes and reduced side effects. In addition, according to the Global Cancer Observatory, the number of brain, and nervous system cancer cases across the world accounted for 308 thousand in 2020 and is projected to reach up to 372 thousand by the year 2030. Moreover, technological advancements associated with neuromorphic devices and the emerging trend of combining the concept of neuroplasticity with electronics are anticipated to create a lucrative growth opportunity for the market over the forecast period. However, challenges associated with complex algorithms and the high cost of neuromorphic technology are going to impede overall market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Neuromorphic Chip Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing adoption of automation and robotics technology in the region. Automation and robotics systems require efficient processing of sensory data, real-time decision-making, and adaptation to changing environments. Neuromorphic chips, inspired by the human brain's architecture, offer parallel processing and low-power consumption, making them well-suited for these tasks. The region's dominant performance is anticipated to propel the overall demand for Neuromorphic Chip. Furthermore, Asia Pacific is expected to grow fastest during the forecast period, owing to factors such as increasing demand for artificial intelligence systems in the region. Neuromorphic chips, inspired by the brain's energy-efficient design, consume significantly less power compared to conventional CPUs and GPUs. This characteristic is particularly valuable in AI applications deployed in resource-constrained environments or battery-powered devices, further driving their adoption in the AI market.
The objective of the study is to define the market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters to detailed information about the crucial aspects such as driving factors & challenges that will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of tables and figures and dummy in nature, final lists may vary in the final deliverable