Over the next decade, gestural recognition could replace touch sensing as the leading edge computer input technology. Although gestural recognition and control technology has served niche markets in gaming and virtual reality for some time, NanoMarkets believes that within a few years, gestural recognition will begin to generate significant revenues in general industrial applications, as well as in the signage, healthcare, automotive and telepresence sectors.
We think that this surge in interest in gestural recognition will lead to a broad range of opportunities in the sensor, camera and related businesses. We also think that the rise of gestural recognition will have important implications for the 3D display market, possibly bring such displays into the computer display mainstream. Together, these prospects could be worth billions of dollars to components and sub-systems makers.
At the present time, gestural recognition technology is immature with a variety of sensor and camera options appearing on this market. Some of these will create large businesses. Others will fall by the wayside. The objective of this report is to forecast where each of these technologies is headed and to quantify their commercial potential. We also predict who the leading firms will be in this space and how their product/market strategies are evolving.
The report builds on NanoMarkets expertise in the sensor and display sectors, where our company has been providing industry analysis for almost a decade. The coverage in this report begins with the first-generation of gestural recognition, such as that using projected capacitive touch sensors and then moves on to 3D gestural recognition, which is where most observers believe that the opportunities will emerge.
We think this report will be important to business development and marketing executives in the general sensor, camera/image sensor, display, computer and software industries.
E.1 Assessment of Gestural Recognition Opportunities
E.1.1 General Sensor Industry
E.1.2 Image Sensors and Camera Firms
E.1.3 Display Industry
E.1.4 Semiconductor Industry
E.2 Emerging Supply Chains in the Gestural Recognition Market
E.3 Firms to Watch in Gestural Recognition Sensors
E.3.1 Sensor Firms
E.3.2 Software and Related Firms
E.4 Challenges for Gestural Recognition: Impact on Sensor, Component and Subsystem Makers
E.4.1 Noise and Equipment Accuracy
E.4.2 Lighting and Background Objects
E.4.3 User Behavior
E.4.4 Lack of Standards
E.5 Summary of Eight-Year Forecasts
Chapter One: Introduction
1.1 Background to this Report
1.1.1 Gestural Recognition and the Camera Industry
1.1.2 Sensor Makers Responding to Gestural Recognition
1.1.3 Other Opportunities
1.2 Objective and Scope of this Report
1.3 Methodology of this Report
1.4 Plan of this Report
Chapter Two: Technologies, Components and Subsystems for Gestural Recognition
2.1 First-Generation 2D Gestural Recognition
2.1.1 2D Cameras
2.1.2 Advanced Touch Technology: Capacitive, Infrared, Near Field, etc.
2.2 Sensors for Data Gloves and Other Input Devices
2.2.1 Finger-bend and Flex Sensors
2.2.2 Motion Sensors
2.3 Position and Tracking Technology
2.3.3 Electrical Field
2.3.4 Magnetic Field
2.3.5 Eye Tracking Systems
2.4 Depth-aware Cameras
2.4.1 Stereo Cameras
2.4.2 Cameras Using 3D Image Sensors
2.4.3 Time-of-Flight Cameras
2.5 Haptic Sensors Used in Gestural Recognition
2.6 Gestural Recognition Subsystems
2.6.1 Chips and Modules to Enable Gesture Control
2.6.2 Wands and Other Gadgets
2.7 Impact of Gestural Technology on the Display Industry
2.8 Key Points Made in this Chapter
Chapter Three: Applications and Eight-Year Market Forecasts
3.1 Forecasting Methodology
3.1.1 Sensor Volumes and Pricing
3.1.2 Camera Volume and Pricing
3.2 Games, Virtual Reality and Consumer Electronics
3.2.1 Gaming and VR
3.2.2 Smart Phones as a Gesture Platform
3.2.3 Laptops and All-in-One Computers
3.2.4 Larger Screens
3.2.5 Forecast of Component and Subsystem Requirements
3.3.1 Gestural Recognition Products and Market Evolution
3.3.2 Forecast of Component and Subsystem Requirements
3.4 Healthcare and Medical
3.4.1 Gestural Recognition Products and Market Evolution
3.4.2 Forecast of Component and Subsystem Requirements
3.5 The Smart Home and Workplace
3.5.1 Gestural Recognition Products and Market Evolution
3.5.2 Forecast of Component and Subsystem Requirements
3.6 General Industrial Applications
3.6.1 Gestural Recognition Products and Market Evolution
3.6.2 Forecast of Component and Subsystem Requirements
3.7 Summary of Market Forecasts
3.7.1 Market Forecast by Application
3.7.2 Market Forecast by Type of Component
3.8 Key Points Made in this Chapter
Acronyms and Abbreviations Used In this Report
About the Author
List of Exhibits:
Exhibit E-1: Acquisitions of Sensor and Gesture Recognition Companies.
Exhibit E-2: Summary of Market for Sensors and Components in Gesture Recognition, by Application 2014-2021
Exhibit 2-1: Data Glove Offerings, Features and Prospects.
Exhibit 2-2: Approaches to Tracking Motion and Gestures.
Exhibit 2-3: Time-of-Flight Gesture Recognition Systems.
Exhibit 2-4: Semiconductor components that support gesture control
Exhibit 3-1: VR Gaming from the Sensor Supplier’s Viewpoint
Exhibit 3-2: Forecast of Components by Type, Gaming and VR 2014-2021.
Exhibit 3-3: Forecast of Components by Type, Smart Phones 2014-2021.
Exhibit 3-4: Forecast of Components by Type, Tablets 2014-2021.
Exhibit 3-5: Forecast of Components by Type, Laptops 2014-2021.
Exhibit 3-6: Forecast of Components by Type, Monitors and AiO Computers 2014-2021.
Exhibit 3-7: Forecast of Components by Type, Smart TVs 2014-2021.
Exhibit 3-8: Automobile Makers Pursuing Gesture Control
Exhibit 3-9: Forecast of Components by Type, Automotive 2014-2021.
Exhibit 3-10: Forecast of Components by Type, Healthcare and Medical 2014-2021.
Exhibit 3-11: Forecast of Components by Type, Smart Home 2014-2021.
Exhibit 3-12: Forecast of Components by Type, Industrial 2014-2021.
Exhibit 3-13: Summary of Market for Sensors and Components in Gesture Recognition, by Application 2014-2021
Exhibit 3-14: Summary of Market for Sensors and Components in Gesture Recognition, by Component Type 2014-2021
Glen Allen, Virginia: Gesture recognition will gradually replace today’s multifunctional touch screens with the result that the market for sensors and related components used in gestural control systems will grow from $770 million in 2014 to about $3.5 billion in 2019. This according to a just-released report from NanoMarkets, “Gestural Recognition: Sensors, Cameras and Other Technology Opportunities—2014.” The report also predicts that “gesturing” will find its way into a wide variety of new applications, from factory automation to smart phones and the “home of the future.” The report notes that the growing role of gestural recognition has been recognized in recent acquisitions by Intel, Apple and Fairchild in the gestural space.
For further details on the report see:http://ntechresearch.com/market_reports/gestural-recognition-sensors-cameras-and-other-technology-opportunities-201
About the Report
This report examines the components and subsystems markets for gestural recognition over the next eight years in ten applications: gaming and virtual reality, smart phones, tablet, laptops, AiOs and monitors, TVs, automotive, healthcare/medical, smart homes and general industrial.
The components covered comprise the full range of sensors used in gestural recognition (bend, proximity, IMU, 2D image, 3D image, time-of-flight and E-field). In the case of image sensors, we have also examined how the related camera technology will evolve. Also analyzed in this report are markets for ultrasonic transducers and microphones used in gestural recognition, as well as associated microcontrollers.
Eight-year forecasts in revenue and volume terms are included for all these components with separate breakouts by each application listed above. The report also discusses the strategies of the firms involved in supplying components and subsystems used in gestural recognition over the next decade. Companies discussed in this report include Analog Devices, Apple, ARM, ASUS, Audience, Bosch, Chirp, Control VR, Creative Labs, CyberGlove, Cyberith, Cypress, Delphi Automotive, Deutsche Telekom, Disney, DriftCoast, Elliptic, Espros, EyeSight, Freescale, GestSure, GestureTek, Google, Hillcrest, HP, Infineon, Intel, Invensense, Lenovo, LG, Melexis, Microchip Technology, Microsoft, Nintendo, OMRON, Philips, pmd, PointGrab, Quantum Interface, Samsung, Silicon Labs, Sixense, SofKinetic, Sony, STMicroelectronics, Telekom Innovation, Tactical Haptics, Thalmic Labs, Tobii, TriLumina, Virtual Realities, Wolfson, and Xsens.
From the Report
The commoditization of touch interfaces will cause OEMs to deploy gestural recognition as a novel interface for smartphones and tablets. Initially, this will use components that already exist in phones, but gradually additional components specifically for gestural control will be added. More expensive cameras and associated sensors, as well as ultrasonic and e-field options for smart phones/tablet are further out. By 2019, the value of these components for smartphones/tablets will have reached $1.2 billion.
Another new application for gestural control is smart TVs. Samsung and LG are marketing remotes with embedded gesture control. Originally this meant just being able to wave the remote to move a cursor on the screen. However, the latest LG “Magic Remote” allows users to choose a channel by drawing numbers in the air. As gestural recognition remotes become common, NanoMarkets thinks this application will generate demand for 3D cameras and eventually time-of-flight (ToF) cameras. TVs, with their focus on high-quality images, are unlikely to make use of low-end 2D cameras. The market for sensors and related devices for gestural control in smart TVs will reach $1.18 billion by 2019. By the end of the forecast period a sizeable fraction of smart TVs will be controlled by the hands and fingers alone, without a remote control.
In fact, many of the latest applications for gestural recognition will be enabled by the advent of cameras using 3D image sensors, which can detect image and depth information at the same time. This is a compelling technology for the consumer electronics market; it can provide more precise gesture recognition than 2D image sensors at a reasonable cost. By 2019, NanoMarkets projects revenues from 3D image sensors to reach $930 million.
Nonetheless, ToF cameras could be the next big thing in gesture recognition. ToF promises ultra fast response times and this will be very effective for accurately detecting much more subtle hand and finger gestures than is possible with stereo cameras. ToF also has no problem with latency, which can cause noticeable delays in image recognition in other systems. ToF also works well in poorly lit environments, which can be an important advantage. ToF sensors generate almost no revenues today, but by 2019 NanoMarkets expects that $550 million in ToF sensors will be bought for gestural recognition systems
NanoMarkets tracks and analyzes emerging markets in energy, electronics and other areas created by developments in advanced materials. The firm is a recognized leader in industry analysis and forecasts of sensor markets.
Visit http://www.nanomarkets.net for a full listing of NanoMarkets' reports and other services.
posted Sep 29, 2014