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Market Scenario

Gesture recognition features of machines allow them to interpret human gestures as commands to perform related functions. Use of components like mouse, buttons and keys in devices for gesture recognition are substituted by 2D and 3D cameras, ultrasonic screens, and infrared sensors. These facilities give an enhanced user experience, which in turn is fueling the Gesture Recognition Industry growth.

Installing a combination of gesture recognition and voice command improves device’s performance. This advancement is predicted to  trigger the gesture recognition market expansion.

Another key force that is predicted to drive the gesture recognition market growth is the low installation cost of gesture recognition assets.

Intel, in 2014, introduced RealSense technology for 3D gesture recognition with its 3D depth cameras installed in notebooks, desktops, other hybrid laptops, and smartphones.

The global Gesture Recognition Industry has gained immense traction due to  its motion-control features in gesture recognition. Xbox uses Microsoft Kinect, a motion gaming system without a controller. Sony’s PlayStation Move used with its PlayStation Eye camera allows multiplayer gaming experience. The gaming industry is propelling the global gesture recognition market growth.

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Robots with gesture recognition software can assist doctors in surgery. This will not only reduce the surgery time but also increase the efficiency of surgery. Such related technical advancements in the gesture recognition market are anticipated to drive the market growth in the healthcare industry.

The difficulty in capturing and analyzing articulated hand motions by devices with gesture recognition is a possible constraint on the gesture recognition market growth. However, glove-based devices, which directly measure the finger joint angles and spatial positions of hand by using a set of sensors are an existing solution to the mentioned problem.

Gesture Technologies Market Segmentation:

The gesture recognition market study is segmented into technology, product, application, and region.

Based on technology the gesture recognition market is segmented into sensors, 2D gesture technology and 3D gesture technology.

Based on product the gesture recognition market is segmentation into touch-less system and touch-based system.

Based on application the gesture recognition market is segmented into media and entertainment, automotive, healthcare, transportation, IT, and telecom.

Based on region the gesture recognition market is segmented into North-America, Europe, Asia-Pacific, and Rest of the World.

Key Players

Some of the key players in the market are Microsoft Corporation (U.S.), Intel Corporation (U.S), Apple Inc. (U.S), Iris guard (Jordan), Qualcomm Inc.(U.S), Prime Sense Limited (Isreal), Omron Corporation (Japan),  SoftKinetic (Belgium), Texas Instruments (U.S.), Infineon Technologies (Germany) and others.

Market Research Analysis:

North America is expected to dominate the gesture recognition market during the forecasted time. Reputed companies in this region like Microsoft Corporation and Apple Incorporation are developing technically advanced 3D gesture and touch-less technology which are likely to cause the market expansion

Asia-Pacific is expected to grow at a rapid rate by 2023. Emerging economies like China and Japan are focusing on original equipment manufacturers to implement gesture recognition technology in their products.

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1 Market Dynamics

1.1 Market Drivers

1.1.1 Processor Manufacturers Incorporating Gesture Recognition

1.1.2 Emergence Of Gestures As A New Way Of Communicating With Machines

1.1.3 Development Of Motion-Control Gaming

1.1.4 Growing Consumer Electronics Market

1.2 Market Inhibitors0

1.2.1 Limiting Capabilities Of Hardware

1.2.2 Technical Challenges In 3D Gestural Interaction

1.3 Supply Chain Analysis

1.4 Porter’s Five Forces Analysis

2 Global Gesture Recognition Market, By Technology

2.1 Introduction

2.2 Sensor

2.3 2D Gesture Technology

2.4 3D Gesture Technology

3 Global Gesture Recognition Market, By Application

3.1 Introduction

3.2 Automotive

3.3 Healthcare

3.4 Consumer Electronics


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