市場調查報告書
商品編碼
1625231
2030 年事件攝影機市場預測:按感測器類型、技術、應用、最終用戶和地區進行的全球分析Event Camera Market Forecasts to 2030 - Global Analysis By Sensor Type (Dynamic Vision Sensors (DVS), Asynchronous Time-Based Image Sensors (ATIS) and Hybrid Event Sensors), Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,2024 年全球事件攝影機市場規模將達到 2.283 億美元,預計到 2030 年將達到 2.906 億美元,預測期內複合年成長率為 4.1%。
事件相機是受生物學啟發的視覺感測器,它透過非同步捕捉光線的逐像素變化來檢測場景的變化,而不是傳統的基於幀的圖像。與傳統相機不同,它們具有低延遲、高動態範圍和最小運動模糊的特點,非常適合快速移動的環境。事件相機工作得很好,因為它們只處理正常的變化並減少冗餘資料。
電腦視覺和人工智慧的進步
電腦視覺和人工智慧的進步是事件攝影機市場的關鍵促進因素。這些技術允許更有效率、更準確地處理視覺資料,從而提高了事件攝影機的功能。事件攝影機受益於人工智慧即時分析複雜模式和運動的能力,使其成為自動駕駛車輛、機器人和監控等應用的理想選擇。隨著人工智慧整合改進了高速環境中關鍵物體的檢測和追蹤,事件攝影機在各行業的採用正在不斷增加。
認知有限
對事件攝影機的優點和用途的認知有限,限制了市場的成長。許多潛在用戶不知道事件相機與傳統成像技術有何不同,這可能會阻礙其採用。這種認知的缺乏延伸到了對事件攝影機提供的成本效益優勢的理解,例如減少資料處理要求和提高低照度性能。
工業自動化的擴展
工業自動化的擴展為事件攝影機市場帶來了巨大的機會。隨著越來越多的行業採用自動化來提高效率和生產力,對事件相機等先進感測技術的需求不斷增加。這些相機提供低延遲和即時資料處理,使其成為需要精確監控和控制的自動化系統的理想選擇。檢測環境快速變化的能力支援品質檢查、機器人導航和流程最佳化等任務,從而促進整合到自動化工業系統中。
與傳統成像技術的競爭
來自傳統成像技術的競爭正在威脅事件攝影機市場。傳統相機被廣泛接受、熟悉、具有成本效益,並且在各種應用中都存在。儘管功能先進,但事件攝影機的初始成本很高,並且需要專門的處理演算法,這可能會阻止潛在用戶。
COVID-19 大流行對事件攝影機市場產生了雙重影響。在擾亂供應鏈並減緩製造流程的同時,不斷上升的安全疑慮加速了工業自動化和監控等領域的需求。這場大流行凸顯了對先進監控解決方案的需求,以及對需要即時資料分析的應用的事件攝影機的興趣增加。
動態視覺感測器(DVS)市場預計將在預測期內成為最大的市場
動態視覺感測器(DVS)領域預計將在預測期內佔據最大的市場佔有率,因為它能夠以最小的延遲捕獲高速事件。 DVS 技術在快速運動偵測非常重要的環境中表現出色,例如機器人和自動駕駛車輛。在單一像素層級處理變化的能力減少了資料負載,同時保持高精度,使其適合需要精確時間解析度的應用。
預計強度事件輸出部分在預測期間內複合年成長率最高
在預測期內,強度事件輸出部分預計將具有最高的複合年成長率,因為它提供有關場景亮度變化的詳細資訊的能力增強。此功能對於需要靈敏光檢測的應用至關重要,例如 ADAS(高級駕駛員輔助系統)和監控。該領域的成長是由有效提供高解析度資料和支援需要細粒度視覺資訊的複雜影像處理任務的能力所推動的。
由於製造業強勁和工業 4.0 的快速採用,亞太地區預計將在預測期內佔據最大的市場佔有率。中國和日本等國家在工業自動化和自動駕駛汽車技術方面處於領先地位,推動了對事件相機等先進感測解決方案的需求。該地區專注於智慧製造,提升其作為市場主要企業的地位。
由於經濟發展活躍和技術進步,亞太地區預計將在預測期內實現最高成長率。各行業擴大採用自動化,加上對智慧基礎設施計劃的投資,正在推動對事件攝影機的需求。該地區致力於將最尖端科技融入其製造流程,以支持市場的快速擴張。
According to Stratistics MRC, the Global Event Camera Market is accounted for $228.3 million in 2024 and is expected to reach $290.6 million by 2030 growing at a CAGR of 4.1 % during the forecast period. The event camera is a bio-inspired vision sensor that detects changes in the scene by capturing pixel-wise light changes asynchronously, rather than traditional frame-based images. Unlike conventional cameras, it works with low latency, high dynamic range, and minimal motion blur, which makes it ideal for fast-moving environments. Event cameras work well because they process only normal changes and reduce redundant data.
Advancements in computer vision and AI
Advancements in computer vision and AI are pivotal drivers in the event camera market. These technologies enhance the capabilities of event cameras by enabling them to process visual data more efficiently and accurately. Event cameras benefit from AI's ability to analyze complex patterns and movements in real-time, making them ideal for applications in autonomous vehicles, robotics, and surveillance. The integration of AI allows for improved object detection and tracking, which is crucial for high-speed environments, thus driving the adoption of event cameras across various industries.
Limited awareness
Limited awareness about the benefits and applications of event cameras acts as a restraint on market growth. Many potential users are unfamiliar with how event cameras differ from traditional imaging technologies, which can hinder their adoption. This lack of awareness extends to understanding the cost-benefit advantages they offer, such as reduced data processing requirements and enhanced low-light performance.
Expansion in industrial automation
The expansion in industrial automation presents a significant opportunity for the event camera market. As industries increasingly adopt automation to enhance efficiency and productivity, the demand for advanced sensing technologies like event cameras rises. These cameras offer real-time data processing with low latency, making them ideal for automated systems that require precise monitoring and control. Their ability to detect rapid changes in the environment supports tasks such as quality inspection, robotic navigation, and process optimization, driving their integration into automated industrial systems.
Competition from traditional imaging technologies
Competition from traditional imaging technologies poses a threat to the event camera market. Conventional cameras are well-established with widespread acceptance across various applications, offering familiarity and cost-effectiveness. Despite the advanced capabilities of event cameras, their higher initial costs and the need for specialized processing algorithms can deter potential users.
The Covid-19 pandemic had a dual impact on the event camera market. While it disrupted supply chains and slowed manufacturing processes, it also accelerated demand in sectors like industrial automation and surveillance due to increased safety concerns. The pandemic highlighted the need for advanced monitoring solutions, boosting interest in event cameras for applications requiring real-time data analysis.
The dynamic vision sensors (DVS) segment is expected to be the largest during the forecast period
The dynamic vision sensors (DVS) segment is expected to account for the largest market share during the forecast period due to its capability to capture high-speed events with minimal latency. DVS technology excels in environments where rapid motion detection is critical, such as robotics and autonomous vehicles. Its ability to process changes at individual pixel levels reduces data load while maintaining high accuracy, making it a preferred choice for applications requiring precise temporal resolution.
The intensity event output segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the intensity event output segment is expected to witness the highest CAGR due to its enhanced ability to provide detailed information about changes in scene brightness. This feature is crucial for applications that require nuanced light intensity detection, such as advanced driver-assistance systems (ADAS) and surveillance. The segment's growth is driven by its capacity to deliver high-resolution data efficiently, supporting complex image processing tasks that demand fine-grained visual information.
The Asia Pacific region is anticipated to account for the largest market share during the forecast period due to its robust manufacturing sector and rapid adoption of Industry 4.0 principles. Countries like China and Japan are leading in industrial automation and autonomous vehicle technologies, driving demand for advanced sensing solutions like event cameras. The region's focus on smart manufacturing enhances its position as a key market player.
The Asia Pacific region is anticipated to register the highest growth rate over the forecast period owing to its dynamic economic development and technological advancements. The increasing adoption of automation across industries coupled with investments in smart infrastructure projects fuels demand for event cameras. The region's commitment to integrating cutting-edge technologies into manufacturing processes supports its rapid market expansion trajectory.
Key players in the market
Some of the key players in Event Camera Market include Prophesee, iniVation AG, Sony Corporation, Samsung Electronics Co., Ltd., Omnivision Technologies, Northrop Grumman Corporation, Cepton Technologies, Fox Robotics, Hillhouse Technology, Insightness AG, Movidius, Fujitsu Limited, Brillnics Inc., Stefanini IT Solutions, Toshiba Corporation and Teledyne FLIR.
In December 2024, Fujitsu announced the development of a video analytics AI agent for frontline workplaces. The AI agent uses spatial video and image data from workplace camera footage, as well as written information, to draft reports and make recommendations for workplace improvements. The AI agent will be positioned as a core technology of Fujitsu's AI service "Fujitsu Kozuchi". Fujitsu will provide a trial environment for the AI agent in fiscal year 2024 and commence in-house implementation from January 2025.
In October 2024, LUCID Vision Labs, Inc., a leading designer and manufacturer of industrial cameras, today announced the launch of the new Triton2 EVS event-based 2.5GigE camera, featuring the IMX636 and IMX637 event-based vision sensors, realized in collaboration between Sony and Prophesee.
In May 2024, Cepton, Inc. ("Cepton") a Silicon Valley innovator and leader in high-performance lidar solutions for automotive and smart infrastructure applications announced the unveiling of its proprietary lidar simulation platform, StudioViz(TM). Developed by Cepton's in-house software teams, StudioViz aims to streamline lidar adoption processes from productization to deployment, helping automotive Original Equipment Manufacturers (OEMs) expedite lidar-based advanced driver assistance systems (ADAS) and autonomous vehicle (AV) development at minimized implementation costs. StudioViz also offers a powerful tool to facilitate a broad spectrum of cutting-edge R&D initiatives in ADAS and AV by researchers and universities.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.