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Global Face Recognition Using Edge Computing Market (2021-2026) by Components, Application, Device Type, End-User, and Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

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    Report

  • 178 Pages
  • November 2021
  • Region: Global
  • Infogence Global Research
  • ID: 5515393
The Global Face Recognition Using Edge Computing Market is estimated to be USD 1,136.9 Mn in 2021 and is expected to reach USD 2,964.7 Mn by 2026, growing at a CAGR of 21.3%.



Market Dynamics

Key factors such as the rising need for adequate surveillance and safety of individuals with the increasing number of identity crises have led to a demand for a highly accurate facial recognition system. Automated identification has also led to the demand for these facial recognition systems in several sectors such as banking, healthcare, airlines. The growing usage of IoT has increased the volume of data. With edge computing, transmitting a massive volume of data to the cloud has lessened latency and real-time experience, increasing market demand. However, a potential breach of privacy is likely to restrain the market growth.

Market Segmentation

The Global Face Recognition Using Edge Computing Market is segmented further based on Components, Application, Device Type, End-User, and Geography.

By Components, the market is classified as Hardware, Software, and Services. Amongst all, the Hardware segment holds the highest market share.

By Application, the market is classified as Access Control, Advertising, Attendance Tracking & Monitoring, E-Learning, Emotion Recognition, Law Enforcement, Payment, and Robotics. Amongst all, Attendance Tracking & Monitoring holds the highest market share.

By Device Type, the market is classified as Integrated and Standalone. Amongst the two, the Integrated segment holds the highest market share.

By Geography, North America is projected to lead the market.

Recent Developments

1. Qualcomm has bought another partner, PFU Limited, a Fujitsu Company, to its Smart Cities Accelerator Program. The company shall be contributing to the development of facial biometric technologies and smart cameras on smart edge devices.. - 16th July 2020
2. KanKan AI (Remark Holdings) launched two new edge computing systems to locally perform facial recognition and other applications. These Smart Boxes are AI-powered edge computers equipped with NVIDIA‘s latest range of high-performance edge computing modules. - 11th December 2020

Company Profiles

Some of the companies covered in this report are Alphabet, Inc., Apple, Inc., Applied Brain Research, Arm Holdings, Cadence Design Systems, Inc., IDEMIA, Mediatek, Inc., Microsoft Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics, and Xilinx, Inc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Face Recognition Using Edge Computing Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter’s 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market
Frequently Asked Questions about the Global Face Recognition Using Edge Computing Market

What is the estimated value of the Global Face Recognition Using Edge Computing Market?

The Global Face Recognition Using Edge Computing Market was estimated to be valued at $1136.9 Million in 2021.

What is the growth rate of the Global Face Recognition Using Edge Computing Market?

The growth rate of the Global Face Recognition Using Edge Computing Market is 21.1%, with an estimated value of $2964.7 Million by 2026.

What is the forecasted size of the Global Face Recognition Using Edge Computing Market?

The Global Face Recognition Using Edge Computing Market is estimated to be worth $2964.7 Million by 2026.

Who are the key companies in the Global Face Recognition Using Edge Computing Market?

Key companies in the Global Face Recognition Using Edge Computing Market include Alphabet, Inc., Apple, Inc., Cadence Design Systems, Inc., Beijing Horizon Robotics Technology Co., Ltd., Huawei Technologies Co., Ltd., IDEMIA, Mediatek, Inc., Micron Technology Inc. and Nvidia Corporation.

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size and Segmentation
3.3 Market Outlook
4 Market Influencers
4.1 Drivers
4.1.1 Need for Adequate Security, Encryption & Privacy
4.1.2 Optimizing The Accuracy Levels of Facial Recognition Systems and Mask Detection
4.1.3 Rising Number of IoT Devices and Cloud-Based Applications
4.1.4 Growing Adoption to Resolve Latency-Specific Issues in Facial Recognition
4.2 Restraints
4.2.1 Security Concerns
4.3 Opportunities
4.3.1 Rising Demand in On-Premise Devices and Workstations
4.3.2 Integration of AI Chipset
4.4 Challenges
4.4.1 Technical and Computational Issues with an Embedded Device such as Interoperability, Accessibility, and Configuration
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter’s Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
1 Global Face Recognition Using Edge Computing Market, By Device Type
1.1 Introduction
1.2 Integrated
1.3 Standalone
2 Global Face Recognition Using Edge Computing Market, By Components
2.1 Introduction
2.2 Hardware
2.3 Software
2.4 Services
3 Global Face Recognition Using Edge Computing Market, By Application
3.1 Introduction
3.2 Access Control
3.3 Surveillance and Security
3.4 Authentication
3.5 Advertising
3.6 E-Learning
3.7 Emotion Recognition
3.8 Law Enforcement
3.9 Robotics
4 Global Face Recognition Using Edge Computing Market, By End User
4.1 Introduction
4.2 Hospitality
4.3 Banking and Finance
4.4 Retail
4.5 Government and Defense
4.6 Industrial Facilities
4.7 Others
6 Global Face Recognition Using Edge Computing Market, By Geography
6.1 Introduction
6.2 America
6.2.1 Argentina
6.2.2 Brazil
6.2.3 Canada
6.2.4 Chile
6.2.5 Colombia
6.2.6 Mexico
6.2.7 Peru
6.2.8 United States
6.2.9 Rest of Americas
6.3 Europe
6.3.1 Austria
6.3.2 Belgium
6.3.3 Denmark
6.3.4 Finland
6.3.5 France
6.3.6 Germany
6.3.7 Italy
6.3.8 Netherlands
6.3.9 Norway
6.3.10 Poland
6.3.11 Russia
6.3.12 Spain
6.3.13 Sweden
6.3.14 Switzerland
6.3.15 United Kingdom
6.3.16 Rest of Europe
6.4 Middle East and Africa
6.4.1 Egypt
6.4.2 Israel
6.4.3 Qatar
6.4.4 Saudi Arabia
6.4.5 South Africa
6.4.6 United Arab Emirates
6.4.7 Rest of MEA
6.5 Asia-Pacific
6.5.1 Australia
6.5.2 Bangladesh
6.5.3 China
6.5.4 India
6.5.5 Indonesia
6.5.6 Japan
6.5.7 Malaysia
6.5.8 Philippines
6.5.9 Singapore
6.5.10 South Korea
6.5.11 Sri Lanka
6.5.12 Thailand
6.5.13 Taiwan
6.5.14 Rest of Asia-Pacific
7 Competitive Landscape
7.1 Competitive Quadrant
7.2 Market Share Analysis
7.3 Strategic Initiatives
7.3.1 M&A and Investments
7.3.2 Partnerships and Collaborations
7.3.3 Product Developments and Improvements
8 Company Profiles
8.1 Alphabet, Inc.
8.2 Apple, Inc.
8.3 Cadence Design Systems, Inc.
8.4 Beijing Horizon Robotics Technology Co., Ltd.
8.5 Huawei Technologies Co., Ltd.
8.6 IDEMIA
8.7 Mediatek, Inc.
8.8 Micron Technology Inc.
8.9 Microsoft Corporation
8.10 Nvidia Corporation
8.11 Qualcomm Incorporated
8.12 Samsung Electronics
8.13 Xilinx, Inc
8.14 Cisco Systems, Inc.
8.15 Belden Inc.
8.16 IBM Corporation
8.17 Intel Corporation
8.18 Moxa Inc.
8.19 Megvii
8.20 Clear Secure, Inc.
9 Appendix
9.1 Questionnaire

Companies Mentioned

  • Alphabet, Inc.
  • Apple, Inc.
  • Cadence Design Systems, Inc.
  • Beijing Horizon Robotics Technology Co., Ltd.
  • Huawei Technologies Co., Ltd.
  • IDEMIA
  • Mediatek, Inc.
  • Micron Technology Inc.
  • Microsoft Corporation
  • Nvidia Corporation
  • Qualcomm Incorporated
  • Samsung Electronics
  • Xilinx, Inc
  • Cisco Systems, Inc.
  • Belden Inc.
  • IBM Corporation
  • Intel Corporation
  • Moxa Inc.
  • Megvii
  • Clear Secure, Inc