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市场调查报告书
商品编码
1886971
动态视觉感测器市场规模、占有率、成长及全球产业分析:依类型、应用和地区划分的洞察,以及 2024-2032 年预测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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随着即时、低延迟视觉技术在工业领域的快速普及,全球动态视觉感测器市场正在迅速发展。根据最新的市场评估,全球动态视觉感测器市场预计将在2024年达到29.3亿美元,并在2025年增长至33亿美元。预计到2032年,该市场规模将达到79亿美元,2025年至2032年的复合年增长率高达13.3%。这一强劲的成长势头凸显了基于事件的感测器系统在汽车、机器人、医疗和工业领域的日益普及。
市场概览
动态视觉感测器采用基于事件的架构,在像素层级而非传统的基于帧的成像方式下捕捉场景变化。这种方法能够实现微秒延迟、高时间解析度和显着降低的功耗,使动态视觉感测器成为即时应用的关键。该技术基于神经形态工程原理,并受益于人工智慧和边缘运算的快速发展。
包括Prophesee、索尼、三星、高通、SynSense、BrainChip、Terranet、RoboSense、Framos和英飞凌在内的领先企业正在不断创新,以将DVS功能扩展到主流工业和商业应用领域。
互惠关税的影响
主要经济体之间的互惠关税正在重塑全球电子产业,并直接影响DVS组件的供应链。关税推高了半导体材料、微处理器和感测器组件的成本,增加了生产成本,延缓了DVS的普及。根据世界贸易组织(WTO)的数据,互惠关税可能导致2025年全球商品贸易成长率下降0.6个百分点,而政策的不确定性预计将进一步使成长率下降0.8个百分点。
为了降低关税风险,製造商正在加速向替代采购策略转型,并转移组装流程。然而,这些结构性调整增加了复杂性,并可能暂时延迟产品发布,最终影响整个动态视觉感测器 (DVS) 市场。
生成式人工智慧的影响
生成式人工智慧 (GenAI) 正成为动态视觉感测器市场的关键推动力。 GenAI 模型能够实现合成场景重建、即时资料预测和自适应成像,从而显着提升 DVS 系统的效能。这些功能在需要高速目标追踪和行为预测的环境中至关重要,例如机器人、自主导航和医学影像。
合成资料产生也具有显着优势,能够加速 DVS 演算法的训练。业内专家预测,到 2024 年,60% 的人工智慧和分析专案将采用合成数据,从而增强汽车、金融和医疗保健等领域的 DVS 训练流程。因此,生成式人工智慧将在加速新兴高速视觉应用领域的普及化方面发挥关键作用。
市场动态
推动因素:智慧自动化加速发展
各产业对智慧自动化的需求不断成长,正在加速动态视觉系统 (DVS) 的普及。全球已部署 340 万台工业机器人,预计到 2032 年,全球 RPA 市场规模将达到 644.7 亿美元,DVS 技术满足了对瞬时运动侦测、预测性维护和即时决策的需求。自动驾驶汽车、工业机器人、手术系统和无人机导航都高度依赖动态视觉感测器提供的低延迟性能。
阻碍因素:开发成本高且技术复杂
儘管需求旺盛,但 DVS 的普及仍面临诸多挑战,包括开发成本高昂、认知度低以及静态场景影像品质差等技术障碍。此外,缺乏标准化的互通性框架也使得跨产业整合变得复杂,尤其是在中小企业之间。
机会:自动驾驶汽车的快速成长
不断扩大的自动驾驶汽车和高级驾驶辅助系统 (ADAS) 市场蕴藏着巨大的机会。预计自动驾驶汽车的产量将从 2022 年的 17,000 辆增至 2030 年的 127,000 辆,这表明对先进视觉系统的需求正在不断增长。动态视觉系统 (DVS) 技术提供无与伦比的运动追踪和碰撞规避能力,使其成为下一代汽车平台的理想选择。
北美(2024 年:9.9 亿美元)
北美在汽车、机器人和自动化技术的普及率方面处于领先地位。大量的研发投入和 ADAS 系统的早期应用正在推动市场成长。
欧洲
欧洲继续保持显着的市场占有率,这得益于对安全车辆的监管压力、强大的工业自动化以及机器人和医学成像技术的进步。
亚太地区
由于人工智慧投资的快速成长、智慧製造的蓬勃发展以及数位视觉系统 (DVS) 在活动策划、无人机和工业自动化领域的广泛应用,亚太地区预计将以最高的复合年增长率成长。
中东、非洲和南美洲
在新兴智慧基础设施和工业现代化的推动下,这些地区的采用速度缓慢但稳定成长。
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