市场调查报告书
商品编码
1497882
导航市场中的电脑视觉:按组件、产品和应用划分 - 2024-2030 年全球预测Computer Vision in Navigation Market by Component (Hardware, Services, Software), Product (PC-Based Computer Vision System, Smart Camera-Based Computer Vision System), Application - Global Forecast 2024-2030 |
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导航计算机视觉市场规模预计2023年为11.3亿美元,预计2024年将达到12.8亿美元,2030年将达到27.1亿美元,复合年增长率为13.27%。
导航中的电脑视觉将先进的影像处理和人工智慧演算法整合到导航系统中,以解释和分析视觉资料,以协助路线规划、障碍物检测和自主导航。在汽车领域,我们将加强自动驾驶汽车和ADAS(高级驾驶辅助系统),在航太领域,我们将加强自主无人机和卫星导航的功能。在海事领域,支持自主船舶航行。消费性电子产品正受益于 AR 导航应用程式和智慧穿戴设备,医疗保健产业正在利用机器人手术系统和视觉障碍者导航辅助设备中的技术。人工智慧、机器学习、感测器改进、自动驾驶汽车需求不断增长以及严格的安全法规等技术进步正在推动市场成长。然而,挑战包括高计算要求、研发成本、监管障碍和隐私问题。然而,针对城市交通、物流中的车队管理、医疗保健中的先进导航辅助以及商业交付中无人机的创新使用的智慧城市倡议正在创造成长机会。未来有前景的研究领域包括用于即时资料处理的边缘运算、更高效的机器学习演算法、感测器融合、人机介面和节能解决方案。像这样的持续创新必将塑造未来的应用和市场动态。
主要市场统计 | |
---|---|
基准年[2023] | 11.3亿美元 |
预测年份 [2024] | 12.8亿美元 |
预测年份 [2030] | 27.1亿美元 |
复合年增长率(%) | 13.27% |
区域洞察
美洲地区透过专注于 ADAS(高级驾驶辅助系统)和自动驾驶汽车的大公司在汽车进步方面处于领先地位。此外,该地区还透过改善挑战性条件下导航的政策来支持创新。欧盟国家是探索自动驾驶汽车和智慧城市的先驱,其中德国、法国和英国投入大量资金。以阿拉伯联合大公国(UAE)和沙乌地阿拉伯为代表的中东地区正在其智慧城市计画中使用电脑视觉,而非洲由于基础设施的挑战,在采用这些技术方面进展缓慢。由于快速的都市化,亚太地区的消费行为表现出对智慧导航系统的偏好。欧洲、中东和非洲地区的欧洲消费者重视永续和尖端的交通解决方案,而豪华技术正在中东流行。在亚太地区,由于政府和私营部门对自动驾驶汽车和扩增实境境地图的人工智慧应用进行了大量投资,导航中的电脑视觉正在呈现成长。此外,亚太地区擅长将电脑视觉融入交通以提高安全性,我们看到专注于交通管理的新兴企业活动和政府支持的出现。
FPNV定位矩阵
FPNV 定位矩阵对于评估供应商在导航市场电脑视觉中的定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与商务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可对导航市场电脑视觉供应商的当前状态进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在导航市场电脑视觉中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[188 Pages Report] The Computer Vision in Navigation Market size was estimated at USD 1.13 billion in 2023 and expected to reach USD 1.28 billion in 2024, at a CAGR 13.27% to reach USD 2.71 billion by 2030.
Computer vision in navigation involves integrating advanced image processing and AI algorithms into navigation systems to interpret and analyze visual data, aiding in route planning, obstacle detection, and autonomous navigation. In the automotive sector, it powers self-driving cars and Advanced driver assistance systems (ADAS), while in aerospace, it enhances the capabilities of autonomous drones and satellite navigation. For maritime applications, it aids in the navigation of autonomous ships. Consumer electronics benefit from AR navigation apps and smart wearables, and the healthcare sector utilizes this technology in robotic surgical systems and navigation aids for visually impaired individuals. Technological advances, including AI, machine learning, sensor improvements, increased demand for autonomous vehicles, and robust safety regulations drive market growth. However, challenges include high computational requirements, R&D costs, regulatory hurdles, and privacy concerns. Nevertheless, smart city initiatives for urban mobility, fleet management in logistics, sophisticated navigation aids in healthcare, and innovative uses of drones in commercial delivery create growth opportunities. Promising areas for further research include edge computing for real-time data processing, more efficient machine learning algorithms, sensor fusion, human-machine interfaces, and energy-efficient solutions. This ongoing innovation will undoubtedly shape future applications and market dynamics.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 1.13 billion |
Estimated Year [2024] | USD 1.28 billion |
Forecast Year [2030] | USD 2.71 billion |
CAGR (%) | 13.27% |
Regional Insights
The Americas region spearheads advancements in the automotive sector through significant players focusing on advanced driver assistance systems and autonomous vehicles. Furthermore, this region supports innovation with policies to improve navigation in challenging conditions. The EU countries are pioneers in research for autonomous vehicles and smart cities, with Germany, France, and the UK heavily invested. The Middle East, led by the UAE and Saudi Arabia, leverages computer vision for smart city initiatives, while Africa slowly adopts these technologies due to infrastructural challenges. Consumer behavior in APAC shows a preference for intelligent navigation systems due to rapid urbanization, while in the Americas, there is a high demand for advanced automotive technologies prioritizing safety. European consumers in EMEA value sustainable and cutting-edge transportation solutions, with the Middle East trending towards luxury technology. In the Asia-Pacific region, computer vision in navigation showcases growth due to significant government and private sector investments in AI applications for autonomous vehicles and augmented reality maps. Furthermore, the APAC region excels in integrating computer vision with transportation to enhance safety and the emergence of startup activities and governmental support focusing on traffic management.
Market Insights
The market dynamics represent an ever-changing landscape of the Computer Vision in Navigation Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Computer Vision in Navigation Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Computer Vision in Navigation Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
ABB Expands Autonomous Mobile Robot Capabilities with Sevensense Acquisition, Driving Innovation in AI-Enabled 3D Vision Navigation
ABB has acquired Swiss start-up Sevensense, an AI-powered 3D vision navigation technology provider for autonomous mobile robots (AMRs). Sevensense, founded in 2018 as a spin-off from ETH Zurich, is set to enhance ABB's robotic capabilities by integrating advanced Visual Simultaneous Localization and Mapping (Visual SLAM) technology. [Published On: 2024-01-16]
Introduction of Orca AI's SeaPod with Advanced Computer Vision and AI
Orca AI has introduced SeaPod, an advanced situational awareness system for ships, integrated with eight sensitive cameras to assist the crew on the bridge comprehensively. This fully automated navigation platform leverages artificial intelligence (AI) and computer vision to enhance target detection and provide an unparalleled field of view. Installed on the compass deck, SeaPod offers 225° field-of-view coverage with its standard cameras and 100° thermal coverage using forward-looking infrared (FLIR) thermographic imaging, allowing the detection of small objects up to four nautical miles away in diverse weather conditions. [Published On: 2024-01-11]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Computer Vision in Navigation Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Computer Vision in Navigation Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Allied Vision Technologies GmbH, Amazon Web Services, Inc., Beeline, Blippar Group Limited, Furuno Electric Co., Ltd., instinctools GmbH, Intel Corporation, Konecranes, Northrop Grumman Corporation, Orca AI, Qualcomm Technologies, Inc., STRONG ANALYTICS LLC, Tangar Technologies AB, and UAV Navigation S.L..
Market Segmentation & Coverage