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市場調查報告書
商品編碼
1499408
邊緣人工智慧硬體市場:按組件、設備、功耗、功能和最終用途分類 - 2024-2030 年全球預測Edge AI Hardware Market by Component (Memory, Networking Sensor, Processor), Device (Automotive, Edge servers, Robots), Power Consumption, Function, End-Use - Global Forecast 2024-2030 |
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邊緣人工智慧硬體市場規模預估2023年為244.6億美元,2024年達281.3億美元,預計2030年將達到723.3億美元,複合年成長率為16.75%。
邊緣人工智慧硬體市場包括促進在資料來源或資料來源附近進行本地化資料處理的技術和設備。該領域專注於將人工智慧功能直接整合到智慧型手機、穿戴式裝置、工業機械和感測器等硬體設備中,而不像傳統的雲端基礎的人工智慧需要將資料傳輸到中央伺服器。使用邊緣人工智慧硬體進行局部資料處理可以加快決策速度、增強隱私性並減少延遲,同時最大限度地減少頻寬使用。這項市場擴張是由多種因素推動的,包括晶片技術和人工智慧演算法的進步、對資料隱私日益成長的擔憂、對即時處理的需求不斷成長以及物聯網和智慧設備的普及。然而,新興市場面臨著開發和實施邊緣人工智慧解決方案的高成本、這些系統與現有基礎設施整合的複雜性、設備功能有限以及缺乏熟練專業人員等挑戰。此外,隨著物聯網 (IoT) 和自動化技術在醫療保健、汽車和製造等各個領域的普及,網路邊緣產生的資料點正在迅速增加。這種擴展需要強大的邊緣人工智慧硬體,能夠快速即時處理而不會出現延遲問題,從而極大地擴展了這些行業中邊緣人工智慧硬體應用的市場。
主要市場統計 | |
---|---|
基準年[2023] | 244.6億美元 |
預測年份 [2024] | 281.3億美元 |
預測年份 [2030] | 723.3億美元 |
複合年成長率(%) | 16.75% |
區域洞察
由於處理器和感測器的重大技術發展加快了源頭附近的資料處理速度,美國和加拿大在美洲佔據著舉足輕重的地位。這項進步促進了即時決策,這對於醫療保健和汽車等快速回應業務至關重要,也得到了重視隱私和離線功能的消費者群體的支持。在歐洲,GDPR 等嚴格的資料隱私法規對邊緣人工智慧技術的設計和部署產生了重大影響。德國、英國和法國等國家走在前列,透過增加本地資料處理來加強安全性和合規性。這種整合是由注重隱私的消費者群體推動的,他們需要高效能、即時應用程式。相較之下,中東地區則專注於智慧城市計劃,尤其是阿拉伯聯合大公國和沙烏地阿拉伯。非洲仍在發展中,並已在局部採用以滿足採礦和農業需求,但往往受到投資和進口挑戰的阻礙。此外,亞太地區也表現出很高的活躍度,其中中國、日本和韓國是主要的創新地區。中國國家主導的投資凸顯了優先考慮技術進步的國家策略,日本和韓國在機器人和汽車產業中進行創新。在政府的大力支持和偏好具有豐富人工智慧功能的消費性電子產品的文化的推動下,該區域市場正在蓬勃發展,這與這些國家的製造優勢和消費者需求非常契合。此外,在投資增加和對邊緣人工智慧功能加深了解的推動下,印度正在成為一個重要的參與者,對醫療保健、汽車和消費電子領域的邊緣人工智慧興趣日益濃厚。
FPNV定位矩陣
FPNV定位矩陣對於評估邊緣AI硬體市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一個綜合工具,可以對邊緣人工智慧硬體市場供應商的現狀進行深入而詳細的評估。對供應商貢獻的徹底比較和分析可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在邊緣人工智慧硬體市場中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[191 Pages Report] The Edge AI Hardware Market size was estimated at USD 24.46 billion in 2023 and expected to reach USD 28.13 billion in 2024, at a CAGR 16.75% to reach USD 72.33 billion by 2030.
The edge AI hardware Market encompasses the technologies and devices that facilitate data processing localized at or near the source of data generation. This field focuses on integrating AI capabilities directly into hardware devices such as smartphones, wearables, industrial machines, and sensors, unlike traditional cloud-based AI, which requires data transmission to a central server. The localized data processing by edge AI hardware enables quicker decision-making, enhanced privacy, and reduced latency while minimizing bandwidth use. The expansion of this market is propelled by several factors, including advancements in chip technology and AI algorithms, heightened data privacy concerns, the increasing demand for real-time processing, and the proliferation of IoT and smart devices. However, the market faces challenges such as the high costs associated with developing and implementing edge AI solutions, the complexity in integrating these systems with existing infrastructure, limitations in device capabilities, and a shortage of skilled professionals. Moreover, the proliferation of the Internet of Things (IoT) and automated technologies across various sectors, including healthcare, automotive, and manufacturing, is creating a surge in data points generated at the edge of networks. This expansion necessitates robust edge AI hardware capable of rapid, real-time processing without latency issues, thus opening extensive markets for edge AI hardware applications in these industries.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 24.46 billion |
Estimated Year [2024] | USD 28.13 billion |
Forecast Year [2030] | USD 72.33 billion |
CAGR (%) | 16.75% |
Regional Insights
The United States and Canada are pivotal in the Americas, with significant technological developments in processors and sensors that expedite data processing near its source. This advancement facilitates real-time decision-making capabilities crucial for operations that demand rapid responses, such as in the healthcare and automotive sectors, further supported by a consumer base that values privacy and offline functionalities. In Europe, stringent data privacy regulations such as GDPR significantly influence the designs and deployment of edge AI technologies. Nations, including Germany, the United Kingdom, and France, are at the forefront, enhancing local data processing, thus bolstering security and compliance. This integration is driven by a highly privacy-conscious consumer base requiring high-performance and real-time applications. In contrast, the Middle East emphasizes smart city projects, particularly in UAE and Saudi Arabia, while Africa, though still developing, sees localized adoption tailored to needs in mining and agriculture, often hindered by investment and import challenges. Moreover, the Asia-Pacific region demonstrates substantial activity, with China, Japan, and South Korea as significant innovations. China's state-led investments underscore a national strategy prioritizing tech advancements, while Japan and South Korea innovate in robotics and automotive industries. The regional market thrives on robust government support and a culture favoring consumer electronics rich in AI capabilities, aligning well with these nations' manufacturing strengths and consumer demands. Additionally, India is emerging as a significant player with rising interests in edge AI across healthcare, automotive, and consumer electronics, facilitated by increasing investments and an expanding understanding of edge AI capabilities.
Market Insights
The market dynamics represent an ever-changing landscape of the Edge AI Hardware Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Edge AI Hardware Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Edge AI Hardware Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Intel Unveils New Edge AI Technologies at MWC 2024 to Revolutionize Local Data Processing for Enhanced Speed and Efficiency
Intel introduced its latest edge platform at the Mobile World Congress 2024, with enhancements aimed at expanding the capabilities of edge AI technology. This new platform is set to revolutionize the data processed locally on devices, minimizing latency and ensuring more efficient and rapid processing than centralized data solutions. These technological advancements promise to catalyze innovation across various industries, including healthcare, automotive, and manufacturing, by enabling smarter and faster decision-making at the device level. Additionally, improved edge AI solutions are expected to facilitate the development of new, more responsive applications capable of operating with significant autonomy. [Published On: 2024-02-25]
Avnet and Syntiant Partnered to Advance Edge AI Technology Distribution
Avnet, a global technology solutions provider, has partnered strategically with Syntiant Corp., a notable innovator in edge artificial intelligence solutions. This partnership focuses on distributing advanced AI technology that enables devices to process data locally, enhancing responsiveness and efficiency while minimizing latency and privacy concerns. The partnership aims to leverage Avnet's vast distribution network to broaden the accessibility of Syntiant's ultra-low-power, deep-learning processors across various markets. These processors are designed for edge applications, aligning with the growing demand for smarter, autonomous devices that operate at the network's edge. This alliance not only expands Avnet's portfolio in the burgeoning field of AI technology but also promises to enhance the capabilities of IoT and consumer devices, pushing forward the frontiers of what edge AI can achieve. [Published On: 2024-01-04]
STMicroelectronics Unveils Advanced Edge AI Processor Series for Enhanced Computational Capabilities
STMicroelectronics introduced a new series of edge AI processors to improve computational abilities and energy efficiency in AI applications. The STM32Cube.AI, an integral component of the new range, allows seamless conversion of neural networks into optimized code for faster, more efficient use at the edge. This development targets a broad spectrum of applications, including industrial IoT, automotive systems, and consumer products, where local data processing is crucial for responsiveness and privacy. By enhancing processing power directly on devices, the series minimizes reliance on cloud-based systems, reducing latency and ensuring robust operation even with intermittent connectivity. This initiative underlines STMicroelectronics' commitment to advancing edge computing technologies and promises substantial improvements in the functionality and efficiency of AI-driven applications. [Published On: 2023-06-15]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Edge AI Hardware Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Edge AI Hardware Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Aetina Corporation, Apple Inc., Arm Holdings plc, Huawei Technologies Co., Ltd., Imagination Technologies, Intel Corporation, International Business Machines Corporation, MediaTek Inc., Micron Technology, Inc., Microsoft Corporation, Murata Manufacturing Co., Ltd., NVIDIA Corporation, Premier Farnell Limited, Qualcomm Technologies, Inc., Renesas Electronics Corporation, Samsung Electronics Co., Ltd., Sony Group Corporation, STMicroelectronics N.V., Super Micro Computer, Inc., Texas Instruments Incorporated, and Xailient Inc..
Market Segmentation & Coverage