Frost Radar：邊緣人工智慧加速器，2025年

Frost Radar: Edge AI Accelerators, 2025

出版日期: 2025年10月29日 | 出版商:

Frost & Sullivan | 英文 57 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

一套能夠激勵企業的標竿體系 - 推動新業務創建與成長通路的創新

隨著自動駕駛汽車、工業自動化、智慧攝影機和機器人等應用對低延遲、注重隱私的人工智慧的需求日益成長，邊緣人工智慧加速器市場迅速擴張。由於頻寬、延遲和資料主權等問題，基於雲端的推理面臨更多限制，這催生了對設備端人工智慧處理的強勁需求。

專用神經處理單元、異質運算架構和超低功耗設計實現了設備端即時分析，並降低了對集中式資料中心的依賴，催生了全新的消費、企業和工業應用場景。憑藉節能架構、成熟的軟體堆疊和強大的合作夥伴生態系統，該行業的領導者已做好準備，把握預計到2030年全球市場規模將超過 860億美元的機會。

Frost & Sullivan公司對產業內的眾多公司進行分析。根據領導力及其他特徵篩選出的公司將接受詳細分析，並根據10項成長和創新標準進行基準測試，以確定其在Frost Radar上的位置。本刊物呈現了每家公司在Frost Radar上的競爭概況，並考慮了它們的優勢以及最能發揮這些優勢的機會。

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI processing.

Specialized neural processing units, heterogeneous compute fabrics, and ultralow-power designs are enabling real-time analytics directly on devices, reducing the dependence on centralized data centers and unlocking new consumer, enterprise, and industrial use cases. Companies advancing this industry are distinguished by energy-efficient architectures, mature software stacks, and robust partner ecosystems, positioning them to capture an opportunity expected to exceed $86 billion globally by 2030.

Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar. The publication presents competitive profiles of each company on the Frost Radar considering their strengths and the opportunities that best fit those strengths.