Gesture Recognition Market Size

Global Gesture Recognition Market size was valued at USD 18.6 billion in 2023 and is poised to grow from USD 22.25 billion in 2024 to USD 93.13 billion by 2032, growing at a CAGR of 19.6% during the forecast period (2025-2032).

The market is expected to benefit from increasing per capita incomes globally, technological advancements, and increasing digitization across industries such as automotive, consumer electronics, and healthcare.

The gesture recognition market is expanding rapidly, driven by advancements in the automotive, consumer electronics, and healthcare sectors. Rising disposable income, technological innovation, and increasing digital adoption across industries are fueling its growth. Functions, such as desktop swap and access to the menu in Windows 10, can be found on the trackpads of laptops. Currently, the touch-based gesture recognition segment dominates the market studied due to the high market penetration of laptops and smartphones that have the basic functionalities. The segment is expected to remain the same over the forecast period as well.

Currently, smartphone manufacturers are launching smartphones that incorporate touch-based gesture recognition features, such as double tap to sleep and wake. In addition, laptop manufacturers are launching low-cost products that use touch-based gesture recognition, thereby augmenting the availability of the technology.

Additionally, touch-based gesture recognition devices are the preferred choice in industrial applications. The working environment in the industry makes it mandatory for the devices to be rugged and work in extreme conditions, such as being used with gloves and greased hands, etc.

How Is Artificial Intelligence Enhancing Gesture Recognition Technology?

Artificial intelligence (AI) is revolutionizing the gesture recognition market by enhancing the precision and responsiveness of human-device interactions. In 2024, the integration of AI and machine learning algorithms has significantly improved the accuracy of gesture recognition systems, enabling more natural and intuitive user experiences. This advancement has led to widespread adoption across various sectors, including consumer electronics, healthcare, and automotive industries. For instance, in the automotive sector, AI-powered gesture recognition allows drivers to control in-car systems through simple hand movements, thereby enhancing safety and convenience.

A notable development in 2024 is Infineon Technologies' acquisition of Imagibob to advance TinyML edge AI for gesture identification, further improving touchless interaction technologies. Additionally, NXP Semiconductors introduced the Trimension NCJ29D6, a system integrating real-time location tracking, radar, and gesture recognition for automotive applications. These innovations highlight AI's role in making gesture recognition more sophisticated and seamlessly integrated into modern technology.