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3D Eye Tracking Software Market Size, Share, & COVID-19 Impact Analysis, By Type (Mobile Systems, Remote Eye Tracking, and Tower-Mounted Eye Tracking) By Application (Scientific Research, Marketing and User Research, Industry, and Human Performance) By End Use (Retail and Consumer Goods, Robotics, Automotive, Media and Entertainment, and Others (Academic Research)) Regional Forecast, 2024-2032

Region :Global | Report ID: FBI108517 | Status : Ongoing



A 3D eye tracking software is a software that analyzes the movement of the eyeballs and interprets them as gaze movement, by recording the movement of eye centers. Essential information on human behavior and cognitive functions is derived using 3D eye tracking software. It is used for measuring eye positions, movements, and points of view. It can simply determine and record the individual's visual awareness based on their location, object, or time.

In parallel with the demand for automobiles and AI applications in this sector, 3D eye tracking software is growing. Eye tracking of eyelids has evolved into an essential DMS technology that gradually replaces conventional methods, enabling measurement of movement and gaze direction. Due to the rising need for 3D eye tracking software for the automotive and retail industry, and the growing adoption of AR, VR in consumer electronics is expected to drive the growth of 3D eye tracking software. Additionally, various key players in the market are investing in developing and innovating new 3D eye tracking software solutions. For instance, 

  • In May 2023, Tobii Dynavox, a provider of assistive communication devices introduced the TDI series, a durable and quick communication device that is managed by the eyes. TD I-Series has a broad range of pre-loaded applications and advanced eye tracking for easy communication, to empower people with disabilities.

Impact of COVID-19 on 3D Eye Tracking Software:

COVID-19 had a slight negative impact on the 3D eye tracking software market, as businesses were forced to cope with the supply chain for capacity from online retail and customer behavior. A huge lack of investment due to the economic slowdown caused various companies to stop the development of 3D eye tracking software. Demand for products was affected by the closure of consumer electronics, retail, automobiles, and manufacturing industries.

Furthermore, the retail and automotive sectors mainly faced the impact of the pandemic in terms of sales. Also, new project collaborations were impacted due to which the demand was hampered in this market. Nevertheless, growth is expected with the easing of COVID-19 based restrictions which increase their use by key end users and help to bring about recovery in the market.


By Type

By Application 

By End Use

By Geography

  • Mobile Systems

  • Remote Eye Tracking

  • Tower-Mounted Eye Tracking

  • Scientific Research

  • Marketing and User Research

  • Industry and Human Performance

  • Retail and Consumer Goods

  • Robotics

  • Automotive

  • Media and Entertainment

  • Others (Academic Research)

  • North America (U.S., Mexico, and Canada)

  • Europe(U.K., Germany, France, Italy, Spain, and Rest of Europe)

  • Asia Pacific (India, Japan, China, Australia, South Korea, and Rest of APAC)

  • Middle East & Africa (GCC, South Africa, and Rest of MEA)

  • South America (Brazil, Argentina, and Rest of South America) 

Key Insights:

The report will cover the following key insights:

• Micro Macro Economic Indicators

• Drivers, Restraints, Trends, and Opportunities        

• Business Strategies Adopted by the Players

• Impact of COVID-19 on the 3D Eye Tracking Software Market

Analysis by End Use:

Based on end use, the market is segmented into retail and consumer goods, robotics, automotive, media and entertainment, and others.

Retail and consumer goods hold a dominant position in the 3D eye tracking software market to improve the layout of the store, optimize the placement of products and signs and increase sales. Retailers can find out what customers care about, understand how they behave in the store, and gain unbiased shelf intelligence through the use of 3D eye tracking. Such factors lead to the adoption of 3D eye tracking software solutions in retail and consumer goods.

Regional Analysis:

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The 3D eye tracking software market is divided into five regions: North America, Europe, Asia Pacific, the Middle East and Africa, and South America.

North America holds the maximum market share in the 3D eye tracking software market. The major driving factors for growth in the 3D eye tracking software market such as increased use of this technology in advertisement, medical research & diagnosis, automotive, and expanding human behavior research. More investment in research and development of 3D eye tracking technology is being made by the region's major market players. Due to the deployment of smart sensors and contactless biometric systems, the U.S. has the largest revenue share in North America. Moreover, this region leads the 3D eye tracking software market globally, due to its high penetration of tracking and facial recognition technologies.

The distribution of 3D eye tracking software by region is as follows:

  • North America – 35%

  • South America – 8%

  • Europe – 25%

  • The Middle East and Africa – 12%

  • Asia-Pacific – 20%

Key Players:

The report comprises key players such as Blink Technologies, Eyeware Tech SA, Pupil Labs GmbH, EyeLink, Visage Technologies, eye square GmbH, EyeTech Digital Systems, Tobii AB, Gazepoint, Smart Eye AB, and others. 

Key Industry Developments:

  • March 2023 - Alpine Esports announced a new collaboration with Tobii, one of the companies providing eye tracking technology and attention management. Both companies have agreed on the improvement of sim racing, driver training, and immersion using Tobii Eye Tracker 5.

  • January 2022 - Eyeware Tech SA, a provider of eye and head tracking solutions for 3D cameras and webcams collaborated with AMD. For its new AMD Privacy View application, this collaboration provides them with patent pending computer vision algorithms and machine perception AI technologies.

  • Ongoing
  • 2023
  • 2019-2022

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