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市場調查報告書
商品編碼
1886971
動態視覺感測器市場規模、佔有率、成長及全球產業分析:依類型、應用和地區劃分的洞察,以及 2024-2032 年預測Dynamic Vision Sensors Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032 |
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隨著即時、低延遲視覺技術在工業領域的快速普及,全球動態視覺感測器市場正在迅速發展。根據最新的市場評估,全球動態視覺感測器市場預計將在2024年達到29.3億美元,並在2025年增長至33億美元。預計到2032年,該市場規模將達到79億美元,2025年至2032年的複合年增長率高達13.3%。這一強勁的成長勢頭凸顯了基於事件的感測器系統在汽車、機器人、醫療和工業領域的日益普及。
市場概覽
動態視覺感測器採用基於事件的架構,在像素層級而非傳統的基於幀的成像方式下捕捉場景變化。這種方法能夠實現微秒延遲、高時間解析度和顯著降低的功耗,使動態視覺感測器成為即時應用的關鍵。該技術基於神經形態工程原理,並受益於人工智慧和邊緣運算的快速發展。
包括Prophesee、索尼、三星、高通、SynSense、BrainChip、Terranet、RoboSense、Framos和英飛凌在內的領先企業正在不斷創新,以將DVS功能擴展到主流工業和商業應用領域。
互惠關稅的影響
主要經濟體之間的互惠關稅正在重塑全球電子產業,並直接影響DVS組件的供應鏈。關稅推高了半導體材料、微處理器和感測器組件的成本,增加了生產成本,延緩了DVS的普及。根據世界貿易組織(WTO)的數據,互惠關稅可能導致2025年全球商品貿易成長率下降0.6個百分點,而政策的不確定性預計將進一步使成長率下降0.8個百分點。
為了降低關稅風險,製造商正在加速向替代採購策略轉型,並轉移組裝流程。然而,這些結構性調整增加了複雜性,並可能暫時延遲產品發布,最終影響整個動態視覺感測器 (DVS) 市場。
生成式人工智慧的影響
生成式人工智慧 (GenAI) 正成為動態視覺感測器市場的關鍵推動力。 GenAI 模型能夠實現合成場景重建、即時資料預測和自適應成像,從而顯著提升 DVS 系統的效能。這些功能在需要高速目標追蹤和行為預測的環境中至關重要,例如機器人、自主導航和醫學影像。
合成資料產生也具有顯著優勢,能夠加速 DVS 演算法的訓練。業內專家預測,到 2024 年,60% 的人工智慧和分析專案將採用合成數據,從而增強汽車、金融和醫療保健等領域的 DVS 訓練流程。因此,生成式人工智慧將在加速新興高速視覺應用領域的普及化方面發揮關鍵作用。
市場動態
推動因素:智慧自動化加速發展
各產業對智慧自動化的需求不斷成長,正在加速動態視覺系統 (DVS) 的普及。全球已部署 340 萬台工業機器人,預計到 2032 年,全球 RPA 市場規模將達到 644.7 億美元,DVS 技術滿足了對瞬時運動偵測、預測性維護和即時決策的需求。自動駕駛汽車、工業機器人、手術系統和無人機導航都高度依賴動態視覺感測器提供的低延遲性能。
阻礙因素:開發成本高且技術複雜
儘管需求旺盛,但 DVS 的普及仍面臨諸多挑戰,包括開發成本高昂、認知度低以及靜態場景影像品質差等技術障礙。此外,缺乏標準化的互通性框架也使得跨產業整合變得複雜,尤其是在中小企業之間。
機會:自動駕駛汽車的快速成長
不斷擴大的自動駕駛汽車和高級駕駛輔助系統 (ADAS) 市場蘊藏著巨大的機會。預計自動駕駛汽車的產量將從 2022 年的 17,000 輛增至 2030 年的 127,000 輛,這表明對先進視覺系統的需求正在不斷增長。動態視覺系統 (DVS) 技術提供無與倫比的運動追蹤和碰撞規避能力,使其成為下一代汽車平台的理想選擇。
北美(2024 年:9.9 億美元)
北美在汽車、機器人和自動化技術的普及率方面處於領先地位。大量的研發投入和 ADAS 系統的早期應用正在推動市場成長。
歐洲
歐洲繼續保持顯著的市場佔有率,這得益於對安全車輛的監管壓力、強大的工業自動化以及機器人和醫學成像技術的進步。
亞太地區
由於人工智慧投資的快速成長、智慧製造的蓬勃發展以及數位視覺系統 (DVS) 在活動策劃、無人機和工業自動化領域的廣泛應用,亞太地區預計將以最高的複合年增長率成長。
中東、非洲和南美洲
在新興智慧基礎設施和工業現代化的推動下,這些地區的採用速度緩慢但穩定成長。
The global dynamic vision sensors (DVS) market is rapidly evolving as industries increasingly embrace real-time, low-latency vision technologies. According to the latest market assessment, the global dynamic vision sensors market size reached USD 2.93 billion in 2024, is projected to grow to USD 3.30 billion in 2025, and is forecast to reach USD 7.90 billion by 2032, reflecting an impressive CAGR of 13.3% during 2025-2032. This strong growth trajectory highlights the rising adoption of event-based sensor systems across automotive, robotics, healthcare, and industrial sectors.
Market Overview
Dynamic Vision Sensors operate using an event-based architecture, capturing changes in a scene at the pixel level rather than traditional frame-based imaging. This approach enables microsecond latency, high temporal resolution, and substantially lower power consumption, making DVS vital for real-time applications. The technology is powered by neuromorphic engineering principles and benefits from rapid advancements in AI and edge computing.
Key players such as Prophesee, Sony, Samsung, Qualcomm, SynSense, BrainChip, Terranet, RoboSense, Framos, and Infineon continue to innovate and push DVS capabilities into mainstream industrial and commercial applications.
Impact of Reciprocal Tariffs
Reciprocal tariffs across major economies are reshaping the global electronics ecosystem, directly affecting DVS component supply chains. Tariffs increase the cost of semiconductor materials, microprocessors, and sensor components-raising production expenses and slowing deployment. According to the World Trade Organization, reciprocal tariffs could reduce global merchandise trade volume growth by 0.6 percentage points in 2025, with policy uncertainty further reducing growth by 0.8 percentage points.
Manufacturers are increasingly shifting toward alternative sourcing strategies or relocating assembly operations to mitigate tariff exposure. However, such structural realignments add complexity and may temporarily slow product rollouts, thereby affecting the overall DVS market expansion.
Impact of Generative AI
Generative AI (GenAI) is emerging as a major catalyst for the dynamic vision sensors market. GenAI models enable synthetic scene reconstruction, real-time data prediction, and adaptive imaging-significantly enhancing the performance of DVS systems. These capabilities are critical in environments where rapid object tracking and behavioral prediction are required, such as robotics, autonomous navigation, and medical imaging.
Synthetic data generation is another major advantage, allowing faster training of DVS algorithms. Industry experts predict that 60% of AI and analytics projects will adopt synthetic data in 2024, strengthening DVS training pipelines in sectors such as automotive, finance, and healthcare. Hence, generative AI will play a vital role in accelerating adoption across emerging high-speed vision applications.
Market Dynamics
Drivers: Acceleration of Intelligent Automation
Growing demand for intelligent automation across various industries is accelerating DVS adoption. With 3.4 million industrial robots deployed globally and the global RPA market expected to reach USD 64.47 billion by 2032, DVS technology supports the need for instantaneous motion detection, predictive maintenance, and real-time decision-making. Autonomous vehicles, industrial robotics, surgical systems, and drone navigation rely heavily on the low-latency performance offered by dynamic vision sensors.
Restraints: High Development Costs and Technical Complexity
Despite strong demand, adoption faces challenges including high development costs, limited awareness, and technical barriers such as lower static-scene image quality. Additionally, the lack of standardized interoperability frameworks complicates integration across industries, particularly for SMEs.
Opportunities: Rapid Growth in Autonomous Vehicles
The expanding autonomous vehicle and ADAS market presents significant opportunities. Autonomous vehicle volumes are projected to grow from 17,000 units in 2022 to 127,000 units by 2030, demonstrating rising demand for advanced vision systems. DVS technology offers unmatched motion tracking and crash-prevention capabilities, making it ideal for next-generation automotive platforms.
North America (USD 0.99 billion in 2024)
North America leads due to strong adoption in automotive, robotics, and automation technologies. Significant R&D spending and early acceptance of ADAS systems drive market growth.
Europe
Europe maintains a substantial market share, supported by regulatory pressure for safer vehicles, strong industrial automation, and advancements in robotics and medical imaging.
Asia Pacific
Asia Pacific is expected to grow at the highest CAGR, driven by surging AI investments, smart manufacturing growth, and increasing use of DVS in event planning, autonomous drones, and industrial automation.
Middle East & Africa & South America
These regions show moderate but rising adoption, supported by emerging smart infrastructure and industrial modernization.
Conclusion
With its superior performance in real-time vision processing and strong integration potential with AI and automation technologies, the dynamic vision sensors market is positioned for strong growth-rising from USD 2.93 billion in 2024 to USD 7.90 billion by 2032. As autonomous systems, robotics, and edge computing expand globally, DVS technology will become an essential component of next-generation intelligent systems.
Segmentation By Component
By Technology
By Application
By Region