San Francisco, 17 April 2030: The Report U.S. Gesture Recognition Market Size, Share & Trends Analysis Report By Technology (Touch-based, Touchless), By Industry (Automotive, Consumer Electronics, Healthcare), And Segment Forecasts, 2024 - 2030
The U.S. gesture recognition market size was valued at USD 2.53 billion in 2023 and is projected to grow at a CAGR of 16.0% between 2024 and 2030. The penetration of unique interfaces that can capture gesture movements, such as deep learning algorithms, computer vision technology and cameras, has augured well for industry growth. In essence, home automation has become pronounced in the U.S., with smart TVs providing touchless control over audio and lighting systems. The trend for immersive and touchless experiences comes against the backdrop of machine learning, 3D depth-sensing cameras, and infrared.
The AI-fueled ability to interact with computers and devices has prompted industry leaders to adopt a contactless business model. Predominantly, the market footprint of consumer electronics and smart homes has boded well for the regional outlook. Gesture recognition has gained ground against the backdrop of surging security standards, hygiene and infrastructural developments. Banks, for instance, use the technology to bolster security and offer a seamless customer experience.
Gesture recognition technology has gained ground from technological advancements and digitization across the region. The U.S. has witnessed an increased adoption of interactive gaming (powered by augmented reality and virtual reality) across industry verticals. For instance, retail stores have sought gaming to provide personalized experiences, as gesture recognition can allow shoppers to try outfits, navigate through products, or receive tailored recommendations.
Innovations have become replete in gesture recognition as end-users seek tools that can reduce resource usage through streamlined algorithms and provide multi-gesture support. The demand for real-time responsiveness, increased user experience and enhanced accuracy will continue to steer innovations. The potential of AI-powered gesture recognition across business verticals will bode well for stakeholders vying to foster their portfolios.
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Mergers and acquisitions activities could be noticeable as industry leaders look to solidify their positions in the U.S. landscape. Leading players are likely to bolster and diversify their portfolios and increase market share. For instance, in November 2023, BigBear.ai announced the acquisition of Pangiam to underscore the vision AI ecosystem. The former expects advanced biometrics, facial recognition and computer vision capabilities to augur well.
Regulations on gesture recognition could be pronounced as the U.S. government came up with restrictions on China’s goods. In August 2023, President Biden inked an executive order to create a mechanism for restricting “outbound investment” in AI, quantum information and semiconductor sectors in foreign countries of concern, which includes China. Besides, cyberattacks can lead to unauthorized access to the device and data, which could compel watchdogs and governments to introduce regulations.
The level of substitutes may be moderate following the rising footprint of artificial intelligence, augmented reality and virtual reality across the U.S. market. An uptick in the number of smart infrastructure projects will further propel the footfall of gesture recognition technologies. Furthermore, the penetration of deep learning algorithms and machine learning will further the demand for state-of-the-art technology.
End-users, including automotive, healthcare and consumer electronics, have exhibited an increased adoption of the bespoke solution. For instance, the healthcare sector has injected funds into the technology to boost patient monitoring and diagnostic images. Additionally, it can enhance hygiene and efficiency with reduced risk of contamination during procedures. Gesture recognition tools will play an invaluable role for the future of smart healthcare system.