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Eye Tracking Market size was valued at USD 850 million in 2023 and is anticipated to grow at a CAGR of over 30.5% between 2024 and 2032. The growing research interest in eye tracking in natural environments reflects a broader shift towards studying human behavior and cognition in ecologically valid settings. By combining the precision of eye tracking technology with the complexity of real-world scenarios, researchers can gain deeper insights into visual attention, perception, and decision-making processes, ultimately advancing the understanding of human behavior in everyday life.
For instance, in January 2024, Tobii launched UX Explore cloud platform, making eye-tracking-based mobile UX research more scalable. The latest product from Tobii, UX Explore, empowers user experience (UX) researchers to harness the power of eye tracking and measure user attention using only a smartphone. The new software-based platform uses deep learning eye tracking algorithms and allows studies to be conducted remotely, accessing users in their natural environment.
Report Attribute | Details |
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Base Year: | 2023 |
Eye Tracking Market Size in 2023: | USD 850 Million |
Forecast Period: | 2024 - 2032 |
Forecast Period 2024 - 2032 CAGR: | 30.5% |
2032 Value Projection: | USD 8 Billion |
Historical Data for: | 2018 – 2023 |
No. of Pages: | 220 |
Tables, Charts & Figures: | 303 |
Segments covered: | Component, type, application, location |
Growth Drivers: |
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Pitfalls & Challenges: |
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With the increasing use of smartphones and tablets, there is a growing demand for mobile eye tracking market. Mobile eye tracking technology allows researchers to study user behavior and interactions in real-world environments, providing insights into mobile app usability, advertising effectiveness, and consumer behavior on mobile devices. For instance, November 2021, Entropik Technologies Pvt. Ltd. announced the launch of the first multi-platform eye tracking technology that works on both web and mobile devices. Real-time analytics dashboards and visualization tools empower stakeholders to identify usability issues, make data-driven decisions, and optimize digital experiences on-the-fly.
Integrating eye tracking technology into existing products, applications, or research methodologies is a complex and time-consuming task owing to the various intricate components and calibration requirements. Developers and researchers frequently face challenges related to compatibility, integration, and data analysis, requiring specialized expertise and resources.