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The Global 3D Eye Tracking Software Market Size is predicted to be valued at $1,778.4 million by 2031, surging from $153.7 million in 2021, at a CAGR of 27.8%.
The COVID-19 pandemic led to severe disruptions that have affected the demand, supply, import-export, and availability of 3D eye tracking software across end-use industries. The closure of numerous plants and factories had a severe influence on global supply chains, as well as manufacturing, delivery schedules, and product sales in the worldwide market. The COVID-19 pandemic slowed the rate of expansion of the 3 D eye tracking software industry. Product demand was impacted by the shutdown of key consumer electronics, retail, automotive, and manufacturing industries. Similarly, in the automobile industry, 3D eye tracking software is deployed in self-driving vehicles. During the pandemic, decreased demand in the automotive sectors, as well as the closure of automotive assembly and manufacturing operations impacted the 3D eye tracking software market share.
The 3D eye tracking software is frequently utilized in academic and scientific research. The 3D eye tracking software technology is utilized in medical, neuroscience, and psychology as well as for cognitive, developmental, experimental, and media applications. With advancements in 3D eye tracking software technology, it is now possible to track attention toward certain brands, goods, or important messages. It is used to determine the ease or difficulty of navigating a store. The use of 3D eye tracking software technology for market research has grown in importance in recent years. Many major brands employ 3D eye tracking techniques to assess their products, designs, consumer shopping behavior, and product promotion in order to improve the overall customer experience. Researchers can study the full shopper's experience in a real or simulated store using wearable eye trackers.
3D eye tracking software technology does not function with those who wear contact lenses. It needs some calibration time before producing reliable results. Some users’ eye movements are frequently unintentional. The 3D eye tracking software system responds in an undesired manner, as a result, controlling the eye position properly all the time is challenging. When an eye tracker does not receive the correct image of the eye in a series of frames, the output is unstable.
In robotics, 3D eye tracking software enables more natural and collaborative human-robot contact. At the moment, machines are unable to effectively gauge degrees of human engagement. However, with their pair of eyes, which consists of depth-sensing cameras and eye tracking software, they can construct a 3D eye tracking software. Both are capable of detecting, tracking, and forecasting people's intentions and attention to objects. Collaborative robots, instructional robots, service robots, or assistive robots all use 3D eye tracking cases, especially when a variety of movements and interactions with actual things are necessary.
The 3D eye tracking software market is segmented on the basis of type, application, end-use industry, and region.
Type:
The type segment is further classified into mobile systems, remote-eye tracking, and tower-mounted eye tracking. Among these, the mobile systems segment is anticipated to have a dominant market share in 2021. Mobile eye tracking, sometimes known as head-mounted, involves wearing a device, most frequently in the form of eye tracking glass or a headband. In order to use this kind of system, a camera or mirror must normally be placed in the line of sight of one or both eyes, along with a second camera that records the scene or field of vision. Recent instances of mobile systems are untethered, allowing for research in a much more real-world situation, such as simulator & vehicle use, motor-control & gait experiments, and sports.
With mobile eye tracking, it is now possible to bring many eye tracking investigations, which were previously conducted on screen in the areas of perception, communication, and other disciplines, into a naturalistic and realistic setting.
Application:
The application segment is further classified into scientific research, marketing & user research, and industry & human performance. Among these, the marketing and user research segment is anticipated to show fastest market growth in 2021. With the advancements in eye tracking software technology, it is now possible to gauge consumer interest in particular brands, goods, or important messages. It is used to determine if navigating a store is simple or challenging. Use of 3D eye tracking software technology for market research has grown in importance over the past few years. In order to improve the total customer experience, several top firms use 3D eye tracking technologies to assess their goods, designs, and customers’ buying habits. Researchers are able to fully comprehend shopper's experience in a real or virtual store, thanks to wearing eye trackers.
End-use Industry:
The end-use industry segment is further classified into retail, robotics, automotive, consumer devices, assistive technology solutions, and others. Among these, the retail segment is anticipated to have a dominant market share. 3D eye tracking software provides in-depth and unbiased data on customer behavior and thought process. It enables brand owners and market analysts to examine the steps customers take to view and choose a product. It demonstrates to them which aspects naturally drew the most attention and which ones were disregarded. Eye tracking, which provides more accurate information than surveys or questionnaires, is important for creating advertisements, brands, packaging, and product placement.
Region:
The 3D eye tracking software market in Asia-Pacific is projected to show the fastest growth. Some of the major factors driving the 3D eye tracking software market growth in Asia-Pacific are increase is the expanded application of innovative technology in the healthcare industry and endeavors to better understand human behavior. The increased adoption of eye tracking technology in a variety of industries, as well as the continuous introduction of new technologies are making 3D eye tracking more efficient in this region.
Some of the leading 3D eye tracking software market players are
For instance, in July 2022, Meta Platforms Inc. acquired AdHawk Microsystems Inc., a Canadian producer of eye-tracking technology for augmented and virtual reality headsets.
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