Eye Tracking Market Size & Share 2024 - 2032
Market Size by Component (Hardware, Software), by Type (Eye Attached tracking, Optical Tracking, Electrooculography), by Application (Healthcare, Retail, Research, Automotive, Consumer Electronics, Others), by Location & Forecast.
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Eye Tracking Market Size
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.
Eye Tracking Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
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.
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.
Eye Tracking Market Trends
The inclusion of a new dynamic vision assessment module reflects a rising trend towards more comprehensive and personalized vision assessments. Traditional vision assessments often focus solely on static measures such as visual acuity, but the industry has witnessed an increasing recognition of the importance of assessing dynamic visual skills such as eye movement coordination, tracking, and convergence/divergence abilities. For instance, in January 2021, RightEye LLC announced the launch of its Version 4.0 update to the RightEye Vision System. This update offers three improvements including a new dynamic vision assessment module, an expanded and updated reference population dataset, and a modern dashboard and user interface.
Eye tracking technology is finding applications in healthcare for diagnosis, treatment, and rehabilitation purposes. Eye trackers are used to assess visual impairments, neurological disorders, autism spectrum disorders, and traumatic brain injuries, providing valuable insights into patient behavior, attention, and cognitive function.
For instance, in January 2020, EyeTech Digital Systems, Inc. announced the launch of EyeOn, an all-in-one, ultra-slim eye gaze tablet during the Assistive Technology Industry Association conference in Orlando. The EyeOn eye tracking platform enables people with mobility and motor impairments to select, type, and speak entirely hands-free, using eye movement to control the device that measures just ¾” thick and weighs under 4.5 pounds.
Eye Tracking Market Analysis
Based on the component, the market is segmented into hardware, and software. The software segment is poised to observe around 32% CAGR through 2032.
Based on the application, the eye tracking market is divided into healthcare, retail, research, automotive, consumer electronics, and others. The healthcare segment dominated the market with a share of over 28% in 2023.
Asia Pacific eye tracking market is expected to maintain a robust CAGR of over 30% from 2024 to 2032. The region's rapid economic expansion, coupled with the rising industries like healthcare, education, gaming, and automotive, fuels the demand for eye tracking technology. This is coupled with the increasing integration of eye tracking in consumer electronics, virtual reality (VR), and augmented reality (AR) devices. Moreover, the rising adoption of eye tracking for UX research, market analysis, and medical diagnostics in Asia Pacific contributes significantly to the expanding market landscape.
Eye Tracking Market Share
Tobii AB and Seeing Machines Ltd. hold a significant share of over 5%. Tobii AB is a leading company in the field of eye tracking technology, offering innovative solutions for a wide range of industries and applications. Founded in 2001 and headquartered in Stockholm, Sweden, Tobii has established itself as a pioneer and global leader in eye tracking, leveraging advanced hardware and software technologies to track and analyze eye movements with unparalleled precision and accuracy.
Seeing Machines Ltd. is a pioneering company in the field of eye tracking technology, offering innovative solutions that utilize advanced computer vision algorithms and artificial intelligence (AI) to monitor and analyze human eye movements. With a focus on enhancing safety, performance, and well-being across various industries, Seeing Machines has established itself as a leader in the market.
Eye Tracking Market Companies
Major companies operating in the eye tracking industry are:
Eye Tracking Industry News
The eye tracking market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Million) from 2018 to 2032, for the following segments:
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Market, By Component
Market, By Type
Market, By Application
Market, By Location
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →