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市场调查报告书
商品编码
1453965
2030 年感测器融合市场预测:按感测器类型、演算法、技术、最终用户和地区进行的全球分析Sensor Fusion Market Forecasts to 2030 - Global Analysis By Sensor Type, By Algorithm, Technology, End User and By Geography |
根据Stratistics MRC预测,2023年全球感测器融合市场规模将达到60.4亿美元,预计2030年将达到198.2亿美元,预测期内复合年增长率为18.5%。
感测器融合是结合多个感测器的资料以获得对系统或环境更准确、可靠和全面的了解的过程。透过整合来自摄影机、光达、雷达和惯性感测器等各种感测器的信息,感测器融合技术旨在改善各种应用中的感知、定位和决策。
根据 IEA 估计,预计 2022 年销售的新车中约有 13% 是电动车。
穿戴式装置需求增加
智慧型手錶、健身追踪器和扩增实境眼镜等穿戴式装置整合了加速计、陀螺仪和磁力计等多个感测器,以提供增强的功能和高级功能,例如活动追踪、健康监测和沈浸式体验。穿戴式装置的日益普及推动了对感测器融合技术的需求,这些技术能够无缝整合和处理来自各种感测器的资料,从而推动感测器融合市场的成长。
复杂性和整合挑战
整合来自各种感测器的资料可能很复杂,每个感测器都有自己的规格和介面。管理组合来自不同感测器的资料流的复杂性并确保准确性和即时处理增加了挑战。此外,由于感测器类型和技术的差异而导致的互通性问题进一步使整合工作变得复杂并阻碍了市场成长。
拓展汽车和交通领域
感测器融合可整合多个感测器的资料以提高准确性和可靠性,对于 ADAS(高级驾驶员辅助系统)和自动驾驶汽车至关重要。对更安全、更有效率的交通解决方案日益增长的需求正在推动对先进感测器融合技术的需求。这一趋势正在推动汽车和交通运输专用感测器融合应用的投资和创新,为市场的显着成长和发展奠定基础。
资料隐私和安全问题
资料隐私和安全问题是感测器融合市场的主要威胁。整合多个感测器和资料来源会增加未授权存取、资料外洩和滥用敏感资讯的风险。随着感测器技术渗透到各个行业,保护个人和资料资料至关重要。解决这些问题需要强大的加密方法、安全的资料储存通讯协定和严格的存取控制。未能充分保护资料可能会导致法律后果、失去消费者信任以及业务运作受损。
COVID-19 的爆发正在以加速和阻碍其成长的方式影响感测器融合市场。虽然用于监控和追踪目的的医疗保健等行业对感测器技术的需求激增,但供应链中断和经济不确定性减缓了市场扩张。远端工作趋势也推动了基于感测器的虚拟协作解决方案的创新。整体而言,疫情再形成了市场动态,并凸显了适应性和弹性在感测器融合技术采用中的重要性。
惯性感测器领域预计将在预测期内成为最大的领域
在感测器融合市场中,由于惯性感测器在各行业的广泛应用,预计在预测期内将是最大的。惯性感测器,包括加速度计、陀螺仪和地磁感测器,在检测运动、方向和位置方面发挥重要作用。家用电子电器、汽车安全系统和航太导航领域的应用正在推动市场成长。此外,MEMS(微电子机械系统)技术的进步正在提高感测器性能并增强该领域的市场主导地位。
预计颗粒过滤器产业在预测期内复合年增长率最高
在感测器融合市场中,颗粒过滤器领域预计将在预测期内实现最高成长。这种增长是由于粒子滤波器在处理非线性和非高斯分布式资料方面的有效性而在感测器融合系统中越来越多地采用。此外,粒子过滤器在导航、追踪和定位等应用中表现出色,并且正在推动汽车、航太和机器人等行业提高准确性和可靠性的需求。
由于多种因素,北美地区将在预测期内引领感测器融合市场。主要发展因素包括主要市场参与者的存在、强大的技术基础设施、高研发投资以及汽车、消费性电子和医疗保健等各行业的强劲需求。此外,政府的支持措施和有利的法规环境进一步增强了该地区的优势,使其成为感测器融合技术创新和市场成长的焦点。
由于工业化的快速成长、物联网和连网型设备的日益普及、智慧基础设施计划的投资增加以及主要市场参与者的存在,亚太地区被定位为感测器融合市场的重要成长地区。此外,旨在促进创新的政府支持措施和政策正在进一步支持市场扩张。亚太地区拥有庞大且多样化的消费者基础,感测器融合技术的采用和市场渗透充满机会,推动预测期内的快速成长。
According to Stratistics MRC, the Global Sensor Fusion Market is accounted for $6.04 billion in 2023 and is expected to reach $19.82 billion by 2030 growing at a CAGR of 18.5% during the forecast period. Sensor fusion is the process of combining data from multiple sensors to obtain a more accurate, reliable, and comprehensive understanding of a system or environment. By integrating information from various sensors, such as cameras, lidar, radar, and inertial sensors, sensor fusion techniques aim to improve perception, localization, and decision-making in various applications.
According to IEA estimates, about 13% of new cars sold in 2022 were expected to be electric.
Increasing demand for wearable devices
Wearable devices, including smartwatches, fitness trackers, and augmented reality glasses, integrate multiple sensors like accelerometers, gyroscopes, and magnetometers to enhance functionality and provide advanced features such as activity tracking, health monitoring, and immersive experiences. This increasing adoption of wearables fuels the demand for sensor fusion technologies that enable seamless integration and processing of data from various sensors, driving growth in the sensor fusion market.
Complexity and integration challenges
Integrating data from diverse sensors, each with unique specifications and interfaces, can be intricate. Managing the complexities of combining data streams from various sensors ensuring accuracy and real-time processing adds to the challenge. Additionally, interoperability issues between different sensor types and technologies further complicate integration efforts, which hinder market growth.
Expansion in automotive and transportation
Sensor fusion, integrating data from multiple sensors to enhance accuracy and reliability, is crucial for advanced driver assistance systems (ADAS) and autonomous vehicles. With the growing demand for safer and more efficient transportation solutions, the need for sophisticated sensor fusion technologies is escalating. This trend is driving investment and innovation in sensor fusion applications tailored to automotive and transportation, positioning the market for substantial growth and advancement.
Data privacy and security concerns
In the sensor fusion market, data privacy and security concerns pose significant threats. With the integration of multiple sensors and data sources, there's a heightened risk of unauthorized access, data breaches, and misuse of sensitive information. As sensor technologies become more pervasive in various industries, safeguarding personal and proprietary data becomes paramount. Addressing these concerns requires robust encryption methods, secure data storage protocols, and stringent access controls. Failure to adequately protect data can lead to legal repercussions, a loss of trust among consumers, and compromised business operations.
The COVID-19 pandemic has influenced the sensor fusion market by both accelerating and hindering growth. While demand for sensor technologies surged in sectors like healthcare for monitoring and tracking purposes, supply chain disruptions and economic uncertainties slowed down market expansion. Remote work trends also drove innovation in sensor-based solutions for virtual collaboration. Overall, the pandemic reshaped market dynamics, emphasizing the importance of adaptability and resilience in sensor fusion technology adoption.
The inertial sensors segment is expected to be the largest during the forecast period
In the Sensor Fusion Market, the inertial sensors segment is projected to dominate during the forecast period due to their widespread application across various industries. Inertial sensors, including accelerometers, gyroscopes and magnetometers, play a crucial role in detecting motion, orientation, and position. Their use in consumer electronics, automotive safety systems, and aerospace navigation drives market growth. Additionally, advancements in MEMS (Micro-Electro-Mechanical Systems) technology enhance sensor performance, fueling the segment's dominance in the market.
The particle filters segment is expected to have the highest CAGR during the forecast period
In the sensor fusion market, the particle filters segment is projected to experience the highest growth during the forecast period. This growth can be attributed to the increasing adoption of particle filters in sensor fusion systems for their effectiveness in handling nonlinear and non-Gaussian distribution data. Moreover, particle filters excel in applications such as navigation, tracking, and localization, driving their demand across industries like automotive, aerospace, and robotics for enhanced accuracy and reliability.
The North American region is positioned to lead the sensor fusion market during the forecast period due to several factors. These include the presence of key market players, robust technological infrastructure, high investment in research and development, and strong demand across various industries such as automotive, consumer electronics, and healthcare. Additionally, supportive government initiatives and a favorable regulatory environment further contribute to the region's dominance, making it a focal point for innovation and market growth in sensor fusion technologies.
The Asia Pacific region is positioned for significant growth in the Sensor Fusion market due to the region's burgeoning industrialization, increasing adoption of IoT and connected devices, rising investments in smart infrastructure projects, and the presence of key market players. Additionally, supportive government initiatives and policies aimed at promoting technological innovation further propel market expansion. With a large and diverse consumer base, the Asia Pacific offers ample opportunities for sensor fusion technology adoption and market penetration, driving rapid growth in the forecast period.
Key players in the market
Some of the key players in Sensor Fusion Market include ADLINK Technology Inc., ams-OSRAM AG, Analog Devices, Inc., Aptiv PLC, Bosch Sensortec, Honeywell International Inc., Infineon Technologies AG, InvenSense, Inc., Maxim Integrated, MEMSIC Inc., Microchip Technology Inc., Murata Manufacturing Co., Ltd., NXP Semiconductors, Renesas Electronics Corporation, Rohm Semiconductor, Silicon Laboratories Inc., STMicroelectronics, TE Connectivity Ltd. and Texas Instruments Incorporated.
In January 2023, automotive supplier ZF presented its next camera generation with the Smart Camera 6. This new camera generation merges various sensor data in its Image Processing Module (IPM) to create a detailed 3D all-around vehicle view and the recognition and management of complex traffic situations. According to the company, this technology will be an important building block in developing automated driving and safety systems.
In November 2022, STMicro launched its latest 6-axis IMU with embedded AI and sensor fusion features. Aimed at enabling low-power sensing applications such as wearables and AR/VR, it serves up sensor fusion blocks and machine learning (ML) cores.
In June 2022, CEVA expanded its family of sensor fusion products with the launch of FSP201, a high-performance, low-power sensor hub MCU designed to deliver precise, accurate sensor fusion for motion tracking, orientation, and heading detection. According to the company, the FSP201 uses I2C and UART industry interfaces for chip connectivity, and fits simply into any design.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.