글로벌 얼굴 인식 AI 카메라 시장 – 2029년까지의 산업 동향 및 예측

얼굴 인식 AI 카메라 시장 분석 및 규모

기술은 빠르게 개선되고, 진화하고, 확장되고 있습니다. 얼굴 인식 기술은 최근 몇 년 동안 인기를 얻고 있는 이미지 인식 기술의 한 유형입니다. 이 기술은 연결된 카메라나 디지털 카메라를 사용하여 캡처된 이미지에서 얼굴을 감지한 다음 이미지의 특징을 정량화하여 데이터베이스의 템플릿과 일치시킵니다.

Data Bridge Market Research는 2021년에 47억 7천만 달러의 가치를 가진 얼굴 인식 AI 카메라 시장이 2022-2029년 예측 기간 동안 23.60%의 CAGR로 2029년까지 259억 9천만 달러의 가치에 도달할 것으로 분석했습니다. Data Bridge Market Research 팀이 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 시장 세그먼트, 지리적 범위, 시장 참여자, 시장 시나리오와 같은 시장 통찰력 외에도 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석, 페슬 분석이 포함되어 있습니다.

얼굴 인식 AI 카메라 시장 범위 및 세분화

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.

보고서의 국가 섹션은 또한 현재 및 미래 시장 추세에 영향을 미치는 개별 시장 영향 요인과 시장 규제의 변화를 제공합니다. 다운스트림 및 업스트림 가치 사슬 분석, 기술 추세 및 포터의 5가지 힘 분석, 사례 연구와 같은 데이터 포인트는 개별 국가의 시장 시나리오를 예측하는 데 사용되는 몇 가지 포인터입니다. 또한 글로벌 브랜드의 존재 및 가용성과 지역 및 국내 브랜드와의 대규모 또는 희소한 경쟁으로 인해 직면한 과제, 국내 관세 및 무역 경로의 영향은 국가 데이터에 대한 예측 분석을 제공하는 동안 고려됩니다.   

경쟁 환경 및 얼굴 인식 AI 카메라 시장 점유율 분석

얼굴 인식 AI 카메라 시장 경쟁 구도는 경쟁자별 세부 정보를 제공합니다. 포함된 세부 정보는 회사 개요, 회사 재무, 창출된 수익, 시장 잠재력, 연구 개발 투자, 새로운 시장 이니셔티브, 글로벌 입지, 생산 현장 및 시설, 생산 용량, 회사의 강점과 약점, 제품 출시, 제품 폭과 범위, 애플리케이션 우세입니다. 제공된 위의 데이터 포인트는 얼굴 인식 AI 카메라 시장과 관련된 회사의 초점에만 관련이 있습니다.

얼굴 인식 AI 카메라 시장의 주요 업체는 다음과 같습니다.

• AllGoVision Technologies Pvt. Ltd. (인도)
• Axis Communications AB(스웨덴)
• 시스코 시스템즈(미국)
• 허니웰 인터내셔널 주식회사(미국)
• IBM 주식회사(미국)
• 인텔리비전(미국)
• Verint Systems, Inc. (미국)
• Huawei Technologies Co., Ltd. (중국)
• 고릴라 테크놀로지 그룹(ROC)
• i2v Systems Pvt. Ltd. (인도)
• ADT 주식회사(미국)
• Agent Video Intelligence Ltd. (미국)
• 인투비전 주식회사(미국)
• Avigilon Corporation(캐나다)
• Stanley Convergent Security Solutions, Inc. (미국)
• 이글아이네트웍스(미국)
• Milestone Systems A/S(덴마크),

SKU-55946