The gesture recognition market has witnessed substantial growth in recent years, primarily driven by advancements in technology and the increasing demand for intuitive and touchless interfaces across various industries. Gesture recognition technology allows users to interact with devices and systems through hand and body movements, offering a more natural and user-friendly experience.

According to Market.us, The Global Gesture Recognition Market size is expected to be worth around USD 106.2 Bn by 2032 from USD 18.8 Bn in 2022, growing at a CAGR of 18.9% during the forecast period from 2023 to 2032. The increasing demand for touchless interfaces in various industries is the major factor driving the growth of the market. Gesture recognition technology allows users to interact with devices without touching them, which is especially important in the wake of the COVID-19 pandemic.

Other factors driving the growth of the market include the rising adoption of gesture recognition in smartphones, tablets, and other consumer electronics devices; the increasing use of gesture recognition in gaming and automotive applications; and the growing demand for gesture recognition in healthcare and industrial automation applications.

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Gesture Recognition Market size

Key Takeaways

  • The global gesture recognition market is projected to grow from USD 18.8 billion in 2022.
  • The growth of the gesture recognition market is being driven by the increasing adoption of touchless systems in various industries, such as healthcare, automotive, and consumer electronics.
  • Touch-based gesture recognition dominated the technology segment in 2022 with the largest revenue share of 0%.
  • The sensor segment leads the technology segment by accounting for a revenue share of 42.0% in 2022.
  • Consumer electronics are expected to dominate the end-user segment, with a revenue share of 57.5% throughout the forecast period.
  • The North America region is anticipated to witness the highest growth, with a revenue share of 34.5% during the projected period.
  • The market is also being driven by the development of new technologies, such as deep learning and machine learning, which are improving the accuracy and robustness of gesture recognition systems.

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The growth of the market is driven by a number of factors, including:

  • Increasing demand for contactless interfaces: Gesture recognition technology allows users to interact with devices without touching them, which is becoming increasingly important in the wake of the COVID-19 pandemic.
  • Growing popularity of smart devices: Gesture recognition is being increasingly used in smart devices such as smartphones, tablets, and wearables.
  • Development of advanced machine learning algorithms: Machine learning algorithms are being used to improve the accuracy and robustness of gesture recognition systems.
  • Increasing adoption of gesture recognition in industrial applications: Gesture recognition is being used in a variety of industrial applications, such as robotics, manufacturing, and healthcare.

The rising demands for gesture recognition are coming from a number of sources, including:

  • The healthcare industry: Gesture recognition is being used in a variety of healthcare applications, such as surgery, rehabilitation, and patient monitoring.
  • The automotive industry: Gesture recognition is being used in a variety of automotive applications, such as gesture-based controls for infotainment systems and gesture-based navigation.
  • The retail industry: Gesture recognition is being used in a variety of retail applications, such as gesture-based checkout and gesture-based product selection.
  • The gaming industry: Gesture recognition is being used in a variety of gaming applications, such as gesture-based controls for video games.
  • The military and defense industry: Gesture recognition is being used in a variety of military and defense applications, such as gesture-based controls for drones and gesture-based communication systems.

The increasing uses of gesture recognition include:

  • Controlling devices: Gesture recognition can be used to control devices without touching them.
  • Interacting with virtual reality (VR) and augmented reality (AR) environments: Gesture recognition can be used to interact with VR and AR environments.
  • Authenticating users: Gesture recognition can be used to authenticate users, such as by detecting their unique gestures.
  • Tracking human motion: Gesture recognition can be used to track human motion, which can be used for a variety of applications, such as gesture-based controls and gesture-based gaming.
  • Analyzing human behavior: Gesture recognition can be used to analyze human behavior, which can be used for a variety of applications, such as marketing and security.

The rising popularity of gesture recognition is due to a number of factors, including:

  • The increasing availability of powerful processors and sensors: Powerful processors and sensors are essential for gesture recognition systems, and the increasing availability of these technologies is making gesture recognition more feasible.
  • The decreasing cost of gesture recognition systems: The cost of gesture recognition systems is decreasing, making them more affordable for a wider range of applications.
  • The growing public awareness of gesture recognition technology: The public is becoming increasingly aware of gesture recognition technology, and this is driving demand for gesture recognition products and services.

Market Segments

Product Type

  • Touch-based Gesture Recognition
  • Touchless Gesture Recognition

Technology

  • Sensor
  • 2D Gesture Technology
  • 3D Gesture Technology

End-User

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Aerospace and Defense
  • Other End-Users

Top Key Players in the Global Gesture Recognition Market

  • Apple Inc.
  • Microsoft Corporation
  • Infineon Technologies AG
  • Omek Interactive Ltd
  • Microchip Technology Incorporated
  • NXP Semiconductors
  • Samsung Electronics Co., Ltd.
  • Sony Corporation
  • Intel Corporation
  • Qualcomm Technologies, Inc.
  • Texas Instruments Incorporated
  • Omnivision Technologies, Inc.
  • Other Key Players

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