全球人脸识别 AI 摄像头市场 – 2029 年行业趋势及预测

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全球人脸识别 AI 摄像头市场 – 2029 年行业趋势及预测

  • Semiconductors and Electronics
  • Upcoming Report
  • Oct 2022
  • Global
  • 350 页面
  • 桌子數: 220
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全球人脸识别 AI 摄像头市场,按组件(软件工具、服务)、垂直行业(BFSI、政府和国防、零售和电子商务、医疗保健、教育、汽车、其他)、应用(情绪识别、考勤跟踪和监控、访问控制、执法、其他)划分 - 行业趋势和预测到 2029 年。

人脸识别人工智能摄像头市场

人脸识别 AI 摄像头市场分析及规模

技术正在迅速改进、发展和扩展。面部识别技术是一种近年来越来越流行的图像识别技术。该技术使用联网或数码相机来检测所捕获图像中的面部,然后量化图像的特征以与数据库中的模板进行匹配。

Data Bridge Market Research 分析称,人脸识别 AI 相机市场在 2021 年增长至 47.7 亿美元,预计到 2029 年将达到 259.9 亿美元,在 2022-2029 年预测期内的复合年增长率为 23.60%。除了市场价值、增长率、细分市场、地理覆盖范围、市场参与者和市场情景等市场洞察外,Data Bridge Market Research 团队策划的市场报告还包括深入的专家分析、进出口分析、定价分析、生产消费分析和 pestle 分析。

人脸识别 AI 摄像头市场范围和细分

报告指标

细节

预测期

2022 至 2029 年

基准年

2021

历史岁月

2020(可定制为 2014 - 2019)

定量单位

收入(百万美元)、销量(单位)、定价(美元)

涵盖的领域

组件(硬件、软件、服务)、技术(条形码识别、面部识别、对象识别、模式识别)、应用程序(扫描和成像、安全和监控、人脸搜索、增强现实等)、部署(本地、云)、最终用户(BFSI、媒体、娱乐)、

覆盖国家

北美洲的美国、加拿大和墨西哥、德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太地区 (APAC) 的其他地区、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲 (MEA) 的其他地区、巴西、阿根廷和南美洲其他地区

涵盖的市场参与者

AllGoVision Technologies Pvt. Ltd. (India), Axis Communications AB (Sweden), Cisco Systems, Inc. (U.S.), Honeywell International, Inc. (U.S.), IBM Corporation (U.S.), IntelliVision (U.S.), Verint Systems, Inc. (U.S.), Huawei Technologies Co., Ltd. (China), Gorilla Technology Group, Inc. (R.O.C.), i2v Systems Pvt. Ltd. (India), ADT, Inc. (U.S.), Agent Video Intelligence Ltd. (U.S.), Intuvision, Inc. (U.S.), Avigilon Corporation (Canada), Stanley Convergent Security Solutions, Inc. (U.S.), Eagle Eye Networks (U.S.), and Milestone Systems A/S (Denmark),

Opportunities

  • Increasing number of market strategies
  • Technological evolution with the introduction of digital platforms

Market Definition

The detection and identification of an object or feature in a digital face or video is referred to as face recognition. It includes parameters such as pattern recognition, face recognition, fingerprint recognition, hand geometry, hand veins, finger geometry, palm recognition, retina recognition, and voice recognition. Businesses all over the world use it to improve customer experiences while also increasing surveillance and security.

Global Face Recognition AI Camera Market Dynamics

Drivers

  • Futurization of technologies around the world

Face recognition is changing the way we see the world and is playing a critical role in the future of technology. Face recognition is now used in many areas of our lives, including gaming, healthcare, retail, social media platforms, security, and automobiles. Many car manufacturers are incorporating this technology into self-driving cars in order to reduce the number of accidents and keep traffic rules and regulations in order. This technology is also being used in the healthcare industry for microsurgical procedures. Drones, security cameras, facial recognition devices, and other face recognition devices have been developed for security and safety purposes. The increasing use of face recognition in various applications is driving market growth.

  • Growing emphasis on security concerns

Security is critical for everyone, and many new technologies and developments are being implemented to improve security everywhere. Many different security devices with face recognition have been developed today. People's safety and security are enhanced by facial recognition biometric devices, security cameras, and drones. This face recognition technology is used in a variety of products, including gaming and retail, because it improves people's overall experiences and creates a new platform for them.

Opportunity

  • Modernization and growing marketing strategies

Modernization, rising end-user demand for brand recognition, and an increasing number of market strategies will create new opportunities for the face recognition AI camera market during the forecast period.

Restraints

  • High installation cost

However, among other factors, the high cost of installing face recognition systems and a lack of technical experts in the industry are major restraints that will further challenge the face recognition AI camera market during the forecast period.

This face recognition AI camera market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the face recognition AI camera market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays

Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.

Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.

COVID-19 Impact on Global Face Recognition AI Camera Market

The global economy and humanity have been devastated by the COVID-19 pandemic. Due tothe high infection rate and the negative impact on public health systems, governments in various countries were forced to implement state-wide lockdowns, causing disruptions in production, supply chains, trade, and related services. Due to a shortage of semiconductor chips on the market, manufacturing of smartphones and cameras was halted, causing delays in the AI camera market. Furthermore, as people became more isolated in their homes, demand for security systems fell dramatically. However, the AI camera market has been steadily growing in recent months and is expected to continue doing so over the next five years. In the coming years, the demand for video systems that detect employees who are not wearing masks or alert managers to perform mandatory safety checks in workplace premises is expected to skyrocket. Furthermore, the growing use of AI cameras that can alert growers if their plants are drooping and plant managers if there is a problem with a production line may boost market growth.

Expected Impact of Economic Slowdown on the Pricing and Availability of Products

When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures

Global Face Recognition AI Camera Market Scope

The face recognition AI camera market is segmented on the basis of components, verticals and application. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

  • Software tools
  • 2D facial recognition
  • 3D facial recognition
  • Facial analytics
  • Services
  • Training and consulting
  • Cloud-based facial recognition

Application

  • Emotion Recognition
  • Attendance Tracking and Monitoring
  • Access Control
  • Law Enforcement
  • Others

End User

  • BFSI
  • Government and Defence
  • Retail and E-Commerce
  • Healthcare
  • Education
  • Automotive
  • Others

Face Recognition AI Camera Market Regional Analysis/Insights

The face recognition AI camera market is analysed and market size insights and trends are provided by country, components, verticals and application as referenced above.

The countries covered in the face recognition AI camera market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

During the forecast period, North America is expected to have the highest revenue share in the face recognition AI camera market. Profit growth in the North American market is being driven by an increase in the use of cutting-edge technology, the rise of the retail and e-commerce sectors, and the presence of major industry players. North America has a significant influence on the global face recognition industry.

Asia Pacific region ranks highest in the growth rate. The area accounts for a significant market share in the global AI camera security market due to the abundance of cost-competitive workforces and raw material advantages. With significant breakthroughs in surveillance, consumer electronics, and retail, China and Japan are the regional market leaders. China produces roughly 40% of the world's CCTV cameras. The APAC AI camera market is expected to grow at the fastest rate during the forecast period.

报告的国家部分还提供了影响市场当前和未来趋势的各个市场影响因素和市场监管变化。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测各个国家市场情景的一些指标。此外,在提供国家数据的预测分析时,还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的大量或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。   

竞争格局及人脸识别 AI 相机市场份额分析

人脸识别 AI 相机市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对人脸识别 AI 相机市场的关注有关。

人脸识别 AI 摄像头市场的一些主要参与者包括:

  • AllGoVision Technologies Pvt. Ltd.(印度)
  • Axis Communications AB(瑞典)
  • 思科系统公司(美国)
  • 霍尼韦尔国际公司(美国)
  • IBM 公司(美国)
  • IntelliVision(美国)
  • Verint Systems, Inc.(美国)
  • 华为技术有限公司 (中国)
  • 大猩猩科技集团(ROC)
  • i2v Systems Pvt. Ltd.(印度)
  • ADT 公司(美国)
  • Agent Video Intelligence Ltd.(美国)
  • Intuvision, Inc.(美国)
  • Avigilon 公司(加拿大)
  • 斯坦利融合安全解决方案公司(美国)
  • Eagle Eye Networks(美国)
  • Milestone Systems A/S(丹麦),


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研究方法

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

可定制

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Frequently Asked Questions

The current market value is USD 1.7 billion in 2021.
The market is expected to grow at a rate of market is 23.90% during the forecast period of 2022 to 2029.