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Gesture Recognition Solution Market size is set to grow by USD 73.44 billion from 2024-2028, Increasing development of processors supporting gesture recognition boost the market, Technavio

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NEW YORK, Aug. 7, 2024 /PRNewswire/ — The global gesture recognition solution market size is estimated to grow by USD 73.44 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  37.91%  during the forecast period. Increasing development of processors supporting gesture recognition is driving market growth, with a trend towards increasing priority for tof cameras for gesture recognition. However, low-value addition of gesture recognition feature in electronic devices  poses a challenge. Key market players include Alphabet Inc., Apple Inc., Cipia Vision Ltd., Elliptic Laboratories AS, ESPROS Photonics Corp., GestureTek technologies, Infineon Technologies AG, Intel Corp., IrisGuard Ltd., Jabil Inc., Microchip Technology Inc., NVIDIA Corp., OMRON Corp., Qualcomm Inc., Sony Group Corp., STMicroelectronics International N.V., Synaptics Inc., Texas Instruments Inc., Ultraleap Ltd., and Vishay Intertechnology Inc..

Get a detailed analysis on regions, market segments, customer landscape, and companies- View the snapshot of this report

Gesture Recognition Solution Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 37.91%

Market growth 2024-2028

USD 73440.3 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

28.4

Regional analysis

APAC, North America, Europe, Middle East and Africa, and South America

Performing market contribution

APAC at 50%

Key countries

US, China, Japan, Germany, and South Korea

Key companies profiled

Alphabet Inc., Apple Inc., Cipia Vision Ltd., Elliptic Laboratories AS, ESPROS Photonics Corp., GestureTek technologies, Infineon Technologies AG, Intel Corp., IrisGuard Ltd., Jabil Inc., Microchip Technology Inc., NVIDIA Corp., OMRON Corp., Qualcomm Inc., Sony Group Corp., STMicroelectronics International N.V., Synaptics Inc., Texas Instruments Inc., Ultraleap Ltd., and Vishay Intertechnology Inc.

Market Driver

Gesture recognition software is integrated with sensors and various types of cameras, including 2D and 3D, in electronic devices to detect air gestures. While 2D cameras can be used, they are less accurate in recognizing motion gestures. The demand for more accurate gesture control and facial recognition features in laptops and smartphones has led manufacturers like HP Development Company, Dell Technologies, and Apple Inc. To incorporate 3D cameras into their products. These 3D cameras can be structured light cameras or stereo cameras, which consume more power and lead to faster battery discharge. To address this issue, Time-of-Flight (ToF) cameras, which consume less power, are being adopted in smartphones. ToF cameras use laser sources for depth sensing and measure the time required for light signals to reflect, enabling them to analyze the depth of an image. With increased accuracy in recognizing motion gestures and less power consumption, the implementation of gesture recognition in electronic devices is expected to provide significant benefits during the forecast period. 

The Gesture Recognition Solution market is experiencing significant growth due to the increasing trend of touchless technology in various industries. Retail stores and commercial spaces are adopting touchless gesture recognition for contactless payments and interactive displays. Regulations around touchless interaction are driving the demand for touchless multifactor authentication in banking and security. Robotics and virtual reality are leveraging advanced technologies like 3D vision and AI for touchless gesture recognition. Sensors like ultrasonic and electric field are used for sensing techniques. Smartphones, smart TVs, and smart devices are integrating touchless gesture recognition for user-friendly interfaces. Technical complexity is being addressed with developer support and software components. Touchless capability is also gaining traction in consumer electronics, automotive, and aviation sectors for driver safety and touchless interaction. Touch screens and touch-based technology are complementing touchless systems to offer a seamless user experience. The future of gesture recognition lies in the convergence of various sensing techniques and software algorithms. 

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Market Challenges

Gesture recognition technology enables users to interact with electronic devices through motion gestures, making use of 2D cameras for input. However, the market growth for this technology is facing challenges. The increasing popularity of voice recognition technology and the need to conserve power in devices are making gesture recognition a less desirable feature. Additionally, the accuracy of 2D cameras in recognizing gestures leaves room for improvement. As a result, some manufacturers have discontinued offering gesture recognition in their latest product releases, potentially hindering the expansion of the global gesture recognition solution market.The Gesture Recognition Market is experiencing significant growth due to the increasing demand for interactive technologies in various industries. Key challenges include the use of 3D vision technologies and advanced algorithms, such as machine learning and artificial intelligence, to accurately identify human movements. Commercial spaces, airports, and healthcare spaces are major adopters, with applications ranging from interactive displays and kiosks to driver safety systems and medical rehabilitation. Leading vendors provide developer support and hardware components, including cameras, image sensors, and capacitive sensors, to enable seamless integration into consumer electronics like laptops, mouses, and smartphones. The market is also expanding into luxury cars, gaming, and public transportation systems, driven by the need for non-contact, intuitive interfaces and the digitization trend. Per capita incomes and hardware capabilities are key factors influencing market penetration.

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Segment Overview 

This gesture recognition solution market report extensively covers market segmentation by  

Technology 1.1 Touch-based1.2 TouchlessApplication 2.1 Gaming consoles2.2 Smartphones2.3 Automobiles2.4 PCsGeography 3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America

1.1 Touch-based-  The gesture recognition market in smartphones is primarily driven by OEMs aiming to integrate advanced technologies into devices for an enhanced user experience. Touch-based gestures are currently the preferred choice, with air gestures having limited value addition due to consumer unfamiliarity. Air gestures are used for limited functions, such as activating options and taking pictures. However, the integration of AI-based 3D gesture recognition technology, like PointGrab’s PointSwitch, offers significant potential. This technology creates a touch-friendly zone, enabling users to control smart TVs and home automation devices with a flick of their finger. As 5G technology becomes more prevalent, gesture control technology promises a touchless user experience, although 3D cameras may still be required for specific features. Overall, the market for gesture recognition solutions in smartphones is expected to grow during the forecast period due to these advancements.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2017-2021) – Download a Sample Report

Learn and explore more about Technavio’s in-depth research reports

The global 3D sensors market is projected to grow significantly, driven by advancements in technology and increasing demand for augmented reality (AR) and virtual reality (VR) applications. As industries like automotive, healthcare, and electronics adopt 3D sensing technology, the market is expected to expand at a robust pace.

Simultaneously, the global battery management integrated circuit (IC) market is witnessing substantial growth due to the rising adoption of electric vehicles (EVs) and renewable energy systems. The increasing need for efficient power management and enhanced battery life is fueling this market’s expansion.

Research Analysis

The Gesture Recognition Solution market is a rapidly growing sector at the intersection of Artificial Intelligence (AI) and Machine Learning (ML), offering user convenience through touchless interaction. This technology utilizes hardware components like cameras and sensors to capture human gestures, which are then processed by software components, including algorithms and embedded systems. The technology is finding applications in various industries such as Virtual Reality, Robotics, Gaming, Consumer Electronics, and Healthcare. Per capita incomes and digitization are key drivers for the market’s growth. In the Consumer Electronics sector, gesture recognition is replacing touch screens, keyboards, and mouses, offering a more intuitive and interactive user experience. The technology’s potential in Healthcare is significant, enabling touchless control of medical equipment and improving patient care. In Virtual Reality and Robotics, gesture recognition enhances the user experience and adds a new dimension to human-computer interaction.

Market Research Overview

The Gesture Recognition Market is a rapidly growing sector driven by advanced technologies such as 3D vision technologies, machine learning (ML), and artificial intelligence (AI). These technologies enable systems to recognize and interpret human gestures, enabling touchless interaction in various industries. Applications include commercial spaces like airports, retail stores, and public transportation systems, as well as consumer electronics such as smartphones, laptops, and smart TVs. Sensing techniques include image sensors, infrared, ultrasonic sensors, and capacitive sensors. Hardware components include cameras, embedded systems, and hardware capabilities. Applications extend to healthcare spaces like hospitals and medical rehabilitation, robotics, driver safety, and security concerns. Regulations play a role in market growth, while technical complexity and cost remain challenges. Leading vendors offer developer support and algorithms for gesture recognition technology, including ML algorithms and mathematical algorithms. Gesture recognition is also used in interactive gaming, luxury cars, and human-computer interaction (HCI) / human-machine interaction (HMI) for touchless multifactor authentication and touchless systems.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

TechnologyTouch-basedTouchlessApplicationGaming ConsolesSmartphonesAutomobilesPCsGeographyAPACNorth AmericaEuropeMiddle East And AfricaSouth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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BinBase Launches 2026 BIN Database Featuring 6-11 Digit Waterfall Lookup for High-Precision Payment Routing

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BinBase introduces its upgraded 2026 BIN Database, offering 3.2M+ card ranges, 29 granular data attributes, and extended 8-11 digit accuracy to eliminate false-positives and optimize routing for global fintechs.

MIAMI, July 21, 2026 /PRNewswire-PRWeb/ — BinBase, a provider of payment intelligence and card issuing data, has announced the official release of its updated 2026 BIN Database. Engineered for payment gateways, acquiring banks, fraud prevention platforms, and e-commerce platforms, the updated dataset solves critical routing inaccuracies caused by the industry-wide shift from legacy 6-digit BINs to extended 8-to-11-digit card ranges.

Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the surgical precision developers need for cost-effective payment routing.

Since ISO/IEC 7812 expanded the standard Bank Identification Number (BIN) length to 8 digits, traditional 6-digit lookup tables have struggled to correctly identify modern card profiles. This leads to false positives, misidentified interchange fees, and failed transactions. BinBase addresses this challenge by introducing a multi-tiered database structure supporting up to 11-digit precision, alongside a recommended “Waterfall Lookup Algorithm.”

To ensure 100% routing and verification accuracy, the Waterfall method executes a descending search sequence: checking 11-digit BIN ranges down through 10, 9, 8, 7, and 6 digits until an exact match is resolved.

Key technical specifications of the 2026 BinBase release include:

Over 3.2 Million Card Ranges: Full global coverage including Visa, Mastercard, Amex, Discover, UnionPay, JCB, and regional networks.Extended Precision: Over 88% of the dataset consists of high-precision ranges (8–11 digits) to accurately isolate sub-brands, currencies, and card tiers.29 Granular Attributes: Beyond core issuer data, the database features advanced parameters including Durbin Regulation status, US Debit/ATM network routing (STAR, NYCE), Fast Funds (Visa Direct / Mastercard MoneySend indicators), commercial Level 2/Level 3 data, and digital wallet token ranges (Apple Pay / Google Pay).

“Modern payment processing requires surgical precision,” said a spokesperson for Damiko Inc. “Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the underlying intelligence developers need to build resilient, cost-effective payment infrastructure.”

Developers and payment teams can evaluate the full 29-field database schema, review integration examples, and download a free 2026 sample dataset on the official GitHub repository.

To learn more about full commercial licensing options, instant CSV downloads, and custom API delivery, visit BinBase.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate fraud.

Media Contact

Fedor Lavrikoff, BinBase, 1 +17866133333, sales@binbase.com, htttps://www.binbase.com 

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SOURCE BinBase

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Redington Limited and AutomationEdge Announce Strategic Partnership to Accelerate Enterprise Automation and Agentic AI Adoption

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MUMBAI, India, July 22, 2026 /PRNewswire/ — Redington, a leading technology aggregator and innovation catalyst, and AutomationEdge, a leading Agentic Process Automation platform for global enterprises, have announced a strategic partnership to accelerate the adoption of enterprise automation and Agentic AI. The collaboration brings together Redington’s extensive distribution ecosystem and partner network with AutomationEdge’s enterprise-grade Agentic Process Automation platform to enable faster, scalable, and outcome-driven digital transformation for organizations.

As a part of the partnership, AutomationEdge’s portfolio of AI Agents and automation solutions is now available through the Redington AI Exchange Marketplace, enabling partners and customers to easily discover, evaluate, and deploy enterprise-ready AI solutions. This availability significantly reduces the time required to adopt AI-driven automation and provides organizations with access to proven use cases that can deliver measurable business outcomes.

The partnership is focused on delivering solution-led automation offerings that simplify adoption for enterprises and channel partners. By combining Redington’s go-to-market reach with AutomationEdge’s 10x automation capabilities, the two organizations aim to help businesses move from fragmented automation initiatives to enterprise-wide orchestration—driving efficiency, agility, and operational excellence.

Through this collaboration, both companies will jointly promote pre-built automation and AI Agent solutions across key business functions, including banking operations, insurance processes, IT / HR operations, customer service, and finance functions. These solutions include ready-to-deploy workflows, AI Agents, demonstration environments, and implementation frameworks designed to accelerate deployment and reduce complexity.

The partnership will also include joint go-to-market initiatives such as partner enablement programs, co-branded workshops, solution showcases, and proof-of-concept (PoC) engagements. These initiatives are designed to equip Redington partners with the knowledge, tools, and support needed to successfully position, sell, and implement AI-powered automation solutions for enterprise and mid-market customers.

Sayantan Dev, Global Head, Software Solutions Group, Redington, said, “The next phase of AI adoption will be defined by execution. Through the Redington AI Exchange Marketplace, we are bringing together the technologies and ecosystem needed to help partners deliver real business outcomes at scale. AutomationEdge’s Agentic AI and automation capabilities strengthen our ability to enable customers to accelerate AI adoption with greater speed, governance, and confidence.”

Prasad Likhite, Chief Sales Officer of AutomationEdge, said, “We are delighted to strengthen our partnership with Redington and accelerate the adoption of next-generation enterprise automation and Agentic AI solutions across the market. The availability of AutomationEdge AI Agents through the Redington AI Exchange Marketplace marks an important milestone in democratizing AI-led transformation, enabling enterprises to rapidly scale intelligent automation initiatives with speed, agility, and measurable business impact. At the same time, it creates significant opportunities for partners to drive innovation, unlock new revenue streams, and deliver greater value to their customers.”

The collaboration also emphasizes localized support, implementation expertise, and customer success services, ensuring that organizations can seamlessly deploy, manage, and scale automation initiatives. By leveraging Redington’s strong partner ecosystem and AutomationEdge’s deep expertise in automation and Agentic AI, the partnership is well-positioned to address the evolving needs of modern enterprises.

As organizations increasingly prioritize productivity, operational efficiency, and AI-led transformation, this partnership marks a significant step toward making enterprise automation and Agentic AI more accessible, scalable, and impactful across industries.

 About Redington

Redington Limited (NSE: REDINGTON) (BSE: 532805), a leading technology solutions provider, empowers businesses in their digital transformation journeys. Guided by its brand narrative “Unlock Next”, Redington goes beyond distribution to remove barriers, accelerate digital adoption, and unlock access, growth, trust, efficiency, and impact—helping businesses, communities, and societies embrace what’s next in technology

About AutomationEdge

AutomationEdge is a leading Agentic Process Automation platform for global enterprises. Its platform enables organizations to automate complex business processes, deploy AI Agents at scale, improve operational efficiency, and accelerate digital transformation initiatives across industries.

Media Contact:
Rahul Wandile
rahul.wandile@automationedge.com

 

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Applied Intuition Launches Dana, the Agentic Platform for Physical AI

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New platform pairs agentic AI with the tooling, data, infrastructure and domain expertise Applied Intuition has built over nearly a decade to speed the safe development of intelligent machines for the physical world.

Dana is the first agentic platform for building, testing, deploying and operating physical AI systems across industries.Built on nearly a decade of Applied Intuition’s tooling, infrastructure, workflows and engineering expertise, Dana is purpose-built for safety-critical systems operating in the physical world.Dana helps companies build physical AI applications for any industry or use case, from autonomy and software-defined vehicles to fleet operations, robotics, construction, mining and intelligent in-vehicle experiences.Dana has already reduced critical phases of vehicle development from months to days in internal and select customer deployments.

SUNNYVALE, Calif., July 22, 2026 /PRNewswire/ — Applied Intuition, Inc., a leader in physical AI, today announced the launch of Dana, the first agentic platform for building, testing, deploying and operating physical AI systems across industries. Dana combines the power of agentic AI and rapid application development with nearly a decade of Applied Intuition’s tooling, infrastructure and engineering knowledge. The result is a unified system that accelerates the development of intelligent machines in the physical world.

“We believe physical AI will become one of the defining technologies of this century,” said Qasar Younis, co-founder and CEO of Applied Intuition. “Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible.”

Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world. Dana comes with all the platform capabilities needed to build and deploy safety-critical physical AI applications, including data, visualization and tooling, as well as the evaluation, traceability and governance these systems require. The platform was designed to work across industries and with a wide range of use cases, from software-defined vehicle development and advanced driver assistance systems (ADAS) to mining and construction operations, truck fleet management, robotics and intelligent in-vehicle experiences. With Dana, customers can:

Deploy Applied Intuition’s reference applications — spanning autonomy, fleet operations, and more — or build their own.Use both natural language and command-line interfaces to complete complex development tasks more intuitively and accelerate iteration cycles across teams and systems.Integrate the platform with enterprise systems and collaboration tools, like Slack and Jira, helping organizations connect fragmented engineering and operational workflows while embedding agentic capabilities across the development process.

Applied Intuition has used Dana internally since last year, building and delivering solutions on the platform for long-standing customers across automotive, trucking, mining, and agriculture. Dana’s agent-driven workflows have reduced critical phases of vehicle development timelines from months to days in some cases. Applied Intuition has offered limited, early access to select customers, including heavy-equipment manufacturer Komatsu and Isuzu Motors, who is using the platform to accelerate L4 autonomy for its fleet of commercial trucks.

“We’ve been impressed by how Dana can streamline complex engineering workflows and accelerate development,” said Yasuhiro Yazawa, Director, Isuzu Motors Limited, Japan. “Dana gives our engineering teams greater confidence to develop, track and deploy safe autonomous-vehicle capabilities at a much faster pace.”

“Applied Intuition has been a valuable technology partner as we continue advancing the digital capabilities that support the next generation of mining equipment and solutions,” said Peter Salditt, CEO, Komatsu Mining. “Dana represents another step forward, bringing intelligent, agentic capabilities into our engineering workflows to help our teams innovate faster, improve efficiency and ultimately create greater value for our customers’ operations.”

Dana is designed to help companies keep up with the fundamental shift now underway across industries. As autonomous vehicles, robots and industrial systems become more capable, manufacturers need a more integrated way to build, validate and deploy them safely. Dana gives teams a faster path from idea to production, and the confidence to put increasingly intelligent machines into the real world.

The future of AI is physical. Dana was built for it.

To learn more about Dana and Applied Intuition’s physical AI platform, visit AppliedIntuition.com.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with nearly two dozen offices across the globe, including in London, Munich, Tokyo, Seoul, and the Washington, D.C. metro area. Learn more at applied.co or press@applied.co.

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SOURCE Applied Intuition, Inc.

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