COVID-19 Impact on Facial Recognition Market by Component (Software Tools and Services), Vertical (BFSI, Government & Defense, Retail & E-commerce, Healthcare, Education, Automotive, and Others), and Region - Global Forecast to 2021
The global facial recognition market projected to grow at a CAGR of 17.1% during the forecast period
The global facial recognition market size to grow from USD 3.8 billion in 2020 to USD 4.5 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period. The major growth factors of the facial recognition industry include government and companies worldwide shifting their focus on facial recognition from touch-based biometrics.
Cloud facial recognition expected to attain substantial growth during the forecast period
The demand for services is on a surge during the pandemic due to a rise in the tailored demands of customers. The requirement of innovative cloud-based facial recognition solutions, which are effectively coupled with big data, AI, security, and network connectivity, is on a surge in different verticals. The adoption of cloud-based facial recognition is expected to rise in the coming years, as regulatory authorities of various countries are majorly focused on monitoring the health, safety, and surveillance of their citizens.
Government and defense segment projected to exhibit the highest CAGR during the forecast period
Governments across the world are using facial recognition solutions and other surveillance technology for contact tracing to limit the spread of coronavirus. Countries such as Singapore, Taiwan, South Korea, and even some parts of India used contact tracing across digital and physical space. When an individual is admitted with COVID-19 symptoms, the government retrieves the data spanning 14 days before his/her travel history, purchases, people who came in contact. These people have been tested and asked to home quarantine themselves. This was possible with the help of facial recognition and other technology implementation in public and private areas.
Asia Pacific projected to grow at the highest CAGR during the forecast period
The wide spread of COVID-19 has changed the dynamic of many countries and their working cultures. Countries such as South Korea and Singapore have done better than Spain and Italy. Asian countries have used technologies, which can resist the pandemic. However, questions have been raised about violations of citizen’s privacy in these countries. South Korea has designed an app called Corona 100m, which alerts the users if they come within a range of 100 meters of a corona affected person. After returning from Italy, a family in Kerala tested positive for which the authority quickly detected the places they visited and the people they met by using facial recognition and CCTV footage with the help of which the administration listed 900 people that could have been in contact with the family. The government of Kerala has taken various steps along these lines. At Kochi airport, the incoming travelers are asked to download an application called MaaS360 developed by IBM, which will help the authorities to track them.
The market study covers the facial recognition market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as component, vertical, and region. The study further includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall facial recognition market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report further helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The global facial recognition market size to grow from USD 3.8 billion in 2020 to USD 4.5 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period. The major growth factors of the facial recognition industry include government and companies worldwide shifting their focus on facial recognition from touch-based biometrics.
Cloud facial recognition expected to attain substantial growth during the forecast period
The demand for services is on a surge during the pandemic due to a rise in the tailored demands of customers. The requirement of innovative cloud-based facial recognition solutions, which are effectively coupled with big data, AI, security, and network connectivity, is on a surge in different verticals. The adoption of cloud-based facial recognition is expected to rise in the coming years, as regulatory authorities of various countries are majorly focused on monitoring the health, safety, and surveillance of their citizens.
Government and defense segment projected to exhibit the highest CAGR during the forecast period
Governments across the world are using facial recognition solutions and other surveillance technology for contact tracing to limit the spread of coronavirus. Countries such as Singapore, Taiwan, South Korea, and even some parts of India used contact tracing across digital and physical space. When an individual is admitted with COVID-19 symptoms, the government retrieves the data spanning 14 days before his/her travel history, purchases, people who came in contact. These people have been tested and asked to home quarantine themselves. This was possible with the help of facial recognition and other technology implementation in public and private areas.
Asia Pacific projected to grow at the highest CAGR during the forecast period
The wide spread of COVID-19 has changed the dynamic of many countries and their working cultures. Countries such as South Korea and Singapore have done better than Spain and Italy. Asian countries have used technologies, which can resist the pandemic. However, questions have been raised about violations of citizen’s privacy in these countries. South Korea has designed an app called Corona 100m, which alerts the users if they come within a range of 100 meters of a corona affected person. After returning from Italy, a family in Kerala tested positive for which the authority quickly detected the places they visited and the people they met by using facial recognition and CCTV footage with the help of which the administration listed 900 people that could have been in contact with the family. The government of Kerala has taken various steps along these lines. At Kochi airport, the incoming travelers are asked to download an application called MaaS360 developed by IBM, which will help the authorities to track them.
- By Company: Tier I: 23%, Tier II: 33%, and Tier III: 44%
- By Designation: C-Level Executives: 26%, Directors: 32%, and Others: 42%
- By Region: North America: 33%, Europe: 35%, Asia Pacific: 11%, ROW: 21%
The market study covers the facial recognition market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as component, vertical, and region. The study further includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall facial recognition market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report further helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
1 INTRODUCTION
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
1.3 COVID-19 ECONOMIC ASSESSMENT
1.3.1 COVID-19 ECONOMIC IMPACT – SCENARIO ASSESSMENT
2 RESEARCH METHODOLOGY
2.1 INTRODUCTION
2.1.1 OBJECTIVES OF THE STUDY
2.1.2 DEFINITION
2.1.3 INCLUSIONS/EXCLUSIONS
2.2 RESEARCH ASSUMPTIONS
2.3 DATA TRIANGULATION
2.4 PRIMARY DATA
2.5 STAKEHOLDERS
3 EXECUTIVE SUMMARY
4 IMPACT ON THE ECOSYSTEM AND EXTENDED ECOSYSTEM
4.1 FACIAL RECOGNITION ECOSYSTEM ANALYSIS, BY STAKEHOLDER
4.1.1 TECHNOLOGY PROVIDERS
4.2 COVID-19 PANDEMIC-DRIVEN MARKET DYNAMICS AND FACTOR ANALYSIS
4.2.1 DRIVERS AND OPPORTUNITIES
5 BUSINESS IMPLICATIONS OF COVID-19 ON
THE FACIAL RECOGNITION MARKET
5.1 IMPLICATION ON TECHNOLOGY SEGMENTS (
PESSIMISTIC, PRE-COVID, & OPTIMISTIC SCENARIOS)
5.1.1 COMPONENT FORECAST, 2020-2021
5.1.1.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID/PESSIMISTIC)
5.1.2 SERVICES FORECAST, 2020-2021
5.1.2.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6 COVID-19 IMPACT ON MAJOR VERTICALS WITH USE CASES AND
HOW CLIENTS ARE RESPONDING TO THE CURRENT SITUATION
6.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
6.1.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.1.2 KEY USE CASES
6.1.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.2 GOVERNMENT AND DEFENSE
6.2.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.2.2 KEY USE CASES
6.2.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.3 RETAIL AND ECOMMERCE
6.3.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.3.2 USE CASES
6.3.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.4 HEALTHCARE
6.4.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.4.2 USE CASES
6.4.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.5 EDUCATION
6.5.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.5.2 USE CASES
6.5.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.6 AUTOMOTIVE
6.6.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.6.2 USE CASES
6.6.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.7 OTHERS
6.7.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.7.2 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
7 COVID-19 IMPACT ON REGIONS
7.1 NORTH AMERICA
7.1.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.2 EUROPE
7.2.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.3 ASIA PACIFIC
7.3.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.4 MIDDLE EAST & AFRICA
7.4.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.5 LATIN AMERICA
7.5.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
8 COVID-19 FOCUSED PROFILES OF KEY VENDORS
8.1 INTRODUCTION
9 APPENDIX
9.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
9.2 AUTHOR DETAILS
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
1.3 COVID-19 ECONOMIC ASSESSMENT
1.3.1 COVID-19 ECONOMIC IMPACT – SCENARIO ASSESSMENT
2 RESEARCH METHODOLOGY
2.1 INTRODUCTION
2.1.1 OBJECTIVES OF THE STUDY
2.1.2 DEFINITION
2.1.3 INCLUSIONS/EXCLUSIONS
2.2 RESEARCH ASSUMPTIONS
2.3 DATA TRIANGULATION
2.4 PRIMARY DATA
2.5 STAKEHOLDERS
3 EXECUTIVE SUMMARY
4 IMPACT ON THE ECOSYSTEM AND EXTENDED ECOSYSTEM
4.1 FACIAL RECOGNITION ECOSYSTEM ANALYSIS, BY STAKEHOLDER
4.1.1 TECHNOLOGY PROVIDERS
4.2 COVID-19 PANDEMIC-DRIVEN MARKET DYNAMICS AND FACTOR ANALYSIS
4.2.1 DRIVERS AND OPPORTUNITIES
5 BUSINESS IMPLICATIONS OF COVID-19 ON
THE FACIAL RECOGNITION MARKET
5.1 IMPLICATION ON TECHNOLOGY SEGMENTS (
PESSIMISTIC, PRE-COVID, & OPTIMISTIC SCENARIOS)
5.1.1 COMPONENT FORECAST, 2020-2021
5.1.1.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID/PESSIMISTIC)
5.1.2 SERVICES FORECAST, 2020-2021
5.1.2.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6 COVID-19 IMPACT ON MAJOR VERTICALS WITH USE CASES AND
HOW CLIENTS ARE RESPONDING TO THE CURRENT SITUATION
6.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
6.1.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.1.2 KEY USE CASES
6.1.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.2 GOVERNMENT AND DEFENSE
6.2.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.2.2 KEY USE CASES
6.2.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.3 RETAIL AND ECOMMERCE
6.3.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.3.2 USE CASES
6.3.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.4 HEALTHCARE
6.4.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.4.2 USE CASES
6.4.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.5 EDUCATION
6.5.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.5.2 USE CASES
6.5.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.6 AUTOMOTIVE
6.6.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.6.2 USE CASES
6.6.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.7 OTHERS
6.7.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.7.2 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
7 COVID-19 IMPACT ON REGIONS
7.1 NORTH AMERICA
7.1.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.2 EUROPE
7.2.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.3 ASIA PACIFIC
7.3.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.4 MIDDLE EAST & AFRICA
7.4.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.5 LATIN AMERICA
7.5.1 FORECAST, 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
8 COVID-19 FOCUSED PROFILES OF KEY VENDORS
8.1 INTRODUCTION
9 APPENDIX
9.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
9.2 AUTHOR DETAILS
LIST OF TABLES
TABLE 1 USE CASES – BANKING, FINANCIAL SERVICES, AND INSURANCE
TABLE 2 USE CASES – GOVERNMENT AND DEFENSE
TABLE 3 USE CASES – RETAIL AND E-COMMERCE
TABLE 4 USE CASES – HEALTHCARE
TABLE 5 USE CASES – EDUCATION
TABLE 6 USE CASES – AUTOMOTIVE
TABLE 1 USE CASES – BANKING, FINANCIAL SERVICES, AND INSURANCE
TABLE 2 USE CASES – GOVERNMENT AND DEFENSE
TABLE 3 USE CASES – RETAIL AND E-COMMERCE
TABLE 4 USE CASES – HEALTHCARE
TABLE 5 USE CASES – EDUCATION
TABLE 6 USE CASES – AUTOMOTIVE
LIST OF FIGURES
FIGURE 1 COVID-19: THE GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
FIGURE 3 REVISED GDP FORECASTS FOR SELECT G20 COUNTRIES IN 2020
FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
FIGURE 6 BREAKUP OF PRIMARY RESPONDENT PROFILES
FIGURE 7 GLOBAL FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 8 SOFTWARE TOOLS MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 9 SERVICES MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 10 BANKING, FINANCIAL SERVICES, AND INSURANCE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 11 GOVERNMENT AND DEFENSE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 12 RETAIL AND ECOMMERCE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 13 HEALTHCARE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 14 EDUCATION: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 15 AUTOMOTIVE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 16 GLOBAL INTERNET OF THINGS MARKET IN GOVERNMENT AND DEFENSE VERTICAL, 2019-2021 (USD MILLION)
FIGURE 17 NORTH AMERICA – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 18 EUROPE – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 19 ASIA PACIFIC – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 20 MIDDLE EAST & AFRICA – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 21 LATIN AMERICA – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 1 COVID-19: THE GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
FIGURE 3 REVISED GDP FORECASTS FOR SELECT G20 COUNTRIES IN 2020
FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
FIGURE 6 BREAKUP OF PRIMARY RESPONDENT PROFILES
FIGURE 7 GLOBAL FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 8 SOFTWARE TOOLS MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 9 SERVICES MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 10 BANKING, FINANCIAL SERVICES, AND INSURANCE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 11 GOVERNMENT AND DEFENSE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 12 RETAIL AND ECOMMERCE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 13 HEALTHCARE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 14 EDUCATION: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 15 AUTOMOTIVE: FACIAL RECOGNITION MARKET GROWTH RATE, 2019-2021 (USD MILLION)
FIGURE 16 GLOBAL INTERNET OF THINGS MARKET IN GOVERNMENT AND DEFENSE VERTICAL, 2019-2021 (USD MILLION)
FIGURE 17 NORTH AMERICA – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 18 EUROPE – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 19 ASIA PACIFIC – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 20 MIDDLE EAST & AFRICA – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
FIGURE 21 LATIN AMERICA – FACIAL RECOGNITION MARKET, 2019-2021 (USD MILLION)
