Facial Recognition

Facial recognition delivers incredible convenience to consumers, as well as serious risks.

Overview

Biometrics-based technology expands from security into the commercial sector

Facial recognition technology refers to the use of facial biometrics (e.g., the distance between the eyes, nose width, and cheekbone shape) to identify individuals. Facial recognition software gathers these unique metrics from photographs and recorded or live video—converted to digital data—to compare them against a database of facial images to find a match with identical biometrics. 

Facial recognition technology has been used in the US in criminal law enforcement and border control as a surveillance tool since the 1990s. Now, it is actively expanding into the commercial sector for use in banks, retail stores, airlines, and restaurants, among other areas.

Industry Updates

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Market Sizing

The US Facial Recognition market could reach USD 0.7 billion–1.2 billion by 2027

Conservative case

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Base case

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Use cases


Facial recognition has gained widespread adoption across diverse sectors, with prominence in the financial and consumer staples sectors. This specifically includes the financial services for the financial sector, as well as the food products subsegment for consumer staples. 

The adoption rates for security (physical access controls) have been relatively high, as facial recognition offers a relatively faster and accurate verification of individuals entering premises, including its ability to identify multiple persons simultaneously. The technology has also been used to improve customer experience (through remote customer onboarding), resulting in time and effort savings for both customers and businesses. 

We have identified key additive manufacturing use cases below: 

Market Mapping


Incumbents in the field develop in-house technology for their own use to enhance their product offering, for example, Facebook and Google using facial recognition technology for automatic photo tagging in their tech platforms. Among the incumbents, Amazon and IBM also provide services to external customers.

Amazon and several disruptors have partnered with government agencies to provide facial recognition technology. The majority of the disruptors either 1) offer a ready-to-use facial recognition software/product, targeting the business-to-consumer (B2C) market or 2) offer the software targeting both B2C and business-to-business (B2B) markets through application programming interfaces (APIs) and software development kits (SDKs) that can be used by other developers to build facial recognition products.

The Disruptors


Disruptors offer a variety of products targeting multiple industries

Disruptors in the facial recognition market focus mainly on offering products for access control, video surveillance, customer analytics, and payment gateways. Major industries using the technology apart from law enforcement and border control are retail, hospitality, gambling (casinos), and banking. Most software on offer can be used with existing camera and access control infrastructure.

Funding History

Competitive Analysis


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Product Overview
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Product Metrics
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Incumbents


Incumbents enhance product offerings through in-house developments

Most incumbents use technology developed in-house for use in their own products. For example, Facebook and Google use facial recognition technology for automatic photo tagging. They have also acquired startups with complementary technology to strengthen their offering. Other incumbents, such as Amazon, Evolv Technologies, and Acuant, compete with startups in the market. For example, Amazon competes with startups via Amazon Rekognition, which has been used by US law enforcement until recently. Acuant also competes with many startups providing identity verification solutions.

In House Development
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Notable Investors


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