市場調查報告書
商品編碼
1497882
導航市場中的電腦視覺:按組件、產品和應用分類 - 2024-2030 年全球預測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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導航電腦視覺市場規模預計2023年為11.3億美元,預計2024年將達到12.8億美元,2030年將達到27.1億美元,複合年成長率為13.27%。
導航中的電腦視覺將先進的影像處理和人工智慧演算法整合到導航系統中,以解釋和分析視覺資料,以協助路線規劃、障礙物檢測和自主導航。在汽車領域,我們將加強自動駕駛汽車和ADAS(高級駕駛輔助系統),在航太領域,我們將加強自主無人機和衛星導航的功能。在海事領域,支持自主船舶航行。消費性電子產品正受益於 AR 導航應用程式和智慧穿戴設備,醫療保健產業正在利用機器人手術系統和視覺障礙者導航輔助設備中的技術。人工智慧、機器學習、感測器改進、自動駕駛汽車需求不斷成長以及嚴格的安全法規等技術進步正在推動市場成長。然而,挑戰包括高計算要求、研發成本、監管障礙和隱私問題。然而,針對城市交通、物流中的車隊管理、醫療保健中的先進導航輔助以及商業交付中無人機的創新使用的智慧城市舉措正在創造成長機會。未來有前景的研究領域包括用於即時資料處理的邊緣運算、更高效的機器學習演算法、感測器融合、人機介面和節能解決方案。像這樣的持續創新必將塑造未來的應用和市場動態。
主要市場統計 | |
---|---|
基準年[2023] | 11.3億美元 |
預測年份 [2024] | 12.8億美元 |
預測年份 [2030] | 27.1億美元 |
複合年成長率(%) | 13.27% |
區域洞察
美洲地區透過專注於 ADAS(高級駕駛輔助系統)和自動駕駛汽車的大公司在汽車進步方面處於領先地位。此外,該地區還透過改善挑戰性條件下導航的政策來支持創新。歐盟國家是探索自動駕駛汽車和智慧城市的先驅,其中德國、法國和英國投入大量資金。以阿拉伯聯合大公國(UAE)和沙烏地阿拉伯為代表的中東地區正在其智慧城市計畫中使用電腦視覺,而非洲由於基礎設施的挑戰,在採用這些技術方面進展緩慢。由於快速的都市化,亞太地區的消費行為表現出對智慧導航系統的偏好。歐洲、中東和非洲地區的歐洲消費者重視永續和尖端的交通解決方案,而豪華技術正在中東流行。在亞太地區,由於政府和私營部門對自動駕駛汽車和擴增實境境地圖的人工智慧應用進行了大量投資,導航中的電腦視覺正在呈現成長。此外,亞太地區擅長將電腦視覺融入交通以提高安全性,我們看到專注於交通管理的新興企業活動和政府支持的出現。
FPNV定位矩陣
FPNV 定位矩陣對於評估供應商在導航市場電腦視覺中的定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與商務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可對導航市場電腦視覺供應商的當前狀態進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在導航市場電腦視覺中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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