Press Release

Gesture Recognition Market 2019 Significant Growth Rate by Industry Size, Share, Market Dynamics, Development Status of Key Players Forecast to 2024

Gesture

The “Gesture Recognition Market” 2019 report provides market size (value and volume), market share, growth rate by types, applications, and combines both qualitative and quantitative methods to make micro and macro forecasts in different regions or countries. Gesture Recognition Market report also aims to provide useful and comprehensive insights into current market trends and future growth scenarios. Gesture Recognition market report contains information like SWOT analysis, business highlights, strength, weakness, threats and opportunities of industry.

Top Manufacturers of Gesture Recognition Market Are:

  • Intel Corporation
  • Jabil Inc.
  • Leap Motion Inc.
  • Microchip Technology Inc.
  • Sony Corporation
  • Elliptic Laboratories A/S
  • Thalmic Labs Inc.
  • Sony Corporation
  • Pyreos Limited
  • GestureTek Inc.
  • Fibaro Group SA
  • Eyesight Technologies Ltd

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    Market Overview:

  • The Gesture Recognition Market is expected to register a CAGR of over 27.9% during the forecast period 2019 – 2024. The development of artificial intelligence (AI) has given rise to the gesture of recognition-based devices. Douwe Egberts has come up with an innovative machine, which was placed at the Tambo International Airport, to detect travelers who yawned or looked sleepy and dispense free cups of coffee. The company was able to take benefit of face recognition technology to advertise and market its brand innovatively.
  • In the past, the interaction between humans and electronic devices was quite different. For instance, human interaction with TVs required a remote. However, today, gesture recognition technology is being increasingly implemented for human-device interaction due to an increased acceptance of gesture-enabled electronic devices, across various industry verticals. For example, switching through television channels or radio stations.
  • The evolution of GUI technology from the use of texts as inputs, to the use of gestures as inputs, has paved the way for the emergence of gesture recognition technology. The gesture recognition usage is increasing, in various sectors. One recent development in this area is the humans interacting with machines, by using hand gesture recognition. Another development is hand gesture recognition, used to control computer applications.
  • With continuous technological developments, the companies in the market studied have been manufacturing products incorporated with new and innovative features. Omron Corporation has developed the gesture recognition technology, by simultaneously recognizing the position, shape, and motion of a person’s hand or finger, by referencing a camera-recorded image.
  • A gesture recognition application system comprises several key hardware and software components, all of which must be tightly integrated, to provide a compelling user experience. A camera is the first component, which captures the raw data that represent the user’s actions. Generally, this raw data is then processed, in order to reduce the noise in the signal, for example, or (in the case of 3D cameras) to compute the depth map.
  • Moreover, specialized algorithms subsequently interpret the processed data, translating the movements into actionable commands that a computer can understand. Subsequently, an application integrates these actionable commands with user feedback, that must be natural as well as engaging. Adding to the overall complexity of the solution, the algorithms and applications are increasingly being implemented on embedded systems, with limited processing, storage, and other resources.
  • Adequate integration of these components, to deliver a compelling gesture control experience, is not a simple task. The complexity is further magnified by the demands of gesture control applications. In particular, gesture control systems must be highly interactive, and able to process significant volumes of data, with imperceptible latency.
  • Scope of the Report:

  • Gesture recognition is the conversion of a hominid movement or signals to a command using a mathematical algorithm. It enables any person to interrelate with the machine in the absence of any physical devices, as an input mechanism to perform desired actions in a system. The technology interprets human gestures and movements, such as movement of hands, fingers, arms, head, or the entire body. It allows users to operate and control devices merely with their gestures.

    Gesture Recognition Market Report Answers the Following Questions:

    • What will the market size and the growth rate be in 2024?
    • What are the key factors driving the global Gesture Recognition market?
    • What are the key market trends impacting the growth of the global Gesture Recognition market?
    • What are the challenges to market growth?
    • Who are the key vendors in the global Gesture Recognition market?
    • What are the market opportunities and threats faced by the vendors in the global Gesture Recognition market?
    • Trending factors influencing the market shares of the relevant regions.
    • What are the key outcomes of the five forces analysis of the global Gesture Recognition market?

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    Key Market Trends:

    Technology Segment is Expected to Register a Significant Growth

    Touch-based gesture recognition consists of single- and multi-touch screens, which are widely used in consumer electronics. A single touch-based function can be used in many devices, such as smartphones. For instance, a single-swipe touch can be used to access the menu bar in any smartphone.

    Multi-Touch-Based gesture recognition is used in functions, such as zoom-in, zoom-out, and three-finger screenshot in smartphones. Functions, such as desktop swap and access to the menu in Windows 10 can be found on the trackpads of laptops. Currently, the touch-based gesture recognition segment dominates the market studied, due to high market penetration of laptops and smartphones that have the aforementioned basic functionalities, and is expected to remain the same, over the forecast period.

    Smartphones are expected to witness continuous growth over the next six years as companies are shifting their focus to the Asia-Pacific region, especially India, by launching low-cost and feature-rich smartphones. This is expected to have a positive impact on the growth of the market studied.

    Currently, smartphone manufacturers are launching phones that incorporate touch-based gesture recognition features, such as double tap to sleep and wake. In addition, laptop manufacturers are launching low-cost products that use touch-based gesture recognition, thereby, augmenting the availability of the technology.

    North America Market is Expected to have a Major Share

    North American market for gesture recognition is led by the United States, due to the presence of major tech firms and startups in the country. Research and development investment in the United States is very high. The country produces the most advanced degrees in science and engineering and high-impact scientific publications. It is the largest provider of information services, globally.

    Deep-learning forms a base for gesture recognition. In 2017, the deep learning software market in the region was estimated at USD 80 million and may reach USD 130 million by 2019.

    Also, in terms of artificial intelligence (taxonomy includes gesture recognition-based products and services providers), the United States occupies the leading position with 415 companies, followed by the United Kingdom with 67 companies, and Canada with 29 companies. Average funding raised by the companies, particularly, in the field of gesture control is USD 7.8 million.

    Canada-based Thalmic Labs manufactured a gesture recognition device that can be worn on the forearm, called Myo. This armband can be integrated with various applications, such as presentations and gaming, or as a controller for drones. In terms of demand, the United States is helping in setting the stage for record sales of the latest consumer electronics. Disposable personal income increased by 1.8% in 2017, and it is likely to increase by more than 2.0%, in 2018. As a result, revenue in the consumer electronics industry is expected to amount to USD 72,443 million in 2018, in the United States.

    Market Dynamics: –

    • Drivers: (Developing regions and growing markets)
    • Limitations: (Regional, Key Player facing Issues, Future Barriers for growth)
    • Opportunities: (Regional, Growth Rate, Competitive, Consumption)

    The report provides key statistics on the market status of the Gesture Recognition Market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the Gesture Recognition.

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    Report Objectives:

    • Analyzing the size of the Gesture Recognition market on the basis of value and volume.
    • Accurately calculating the market segments, consumption, and other dynamic factors of different sections of the global Gesture Recognition market.
    • Determining the key dynamics of the Gesture Recognition market.
    • Highlighting significant trends of the Gesture Recognition market in terms of manufacture, revenue, and sales.
    • Deeply summarizing top players of the Gesture Recognition market and showing how they compete in the industry.
    • Studying industry processes and costs, product pricing, and various trends related to them.
    • Displaying the performance of different regions and countries in the global Gesture Recognition market.

    Detailed TOC of Gesture Recognition Market Report 2019-2024:

    1 INTRODUCTION
    1.1 Study Deliverables
    1.2 Study Assumptions
    1.3 Scope of the Study

    2 RESEARCH METHODOLOGY

    3 EXECUTIVE SUMMARY

    4 MARKET DYNAMICS
    4.1 Market Overview
    4.2 Introduction to Market Drivers and Restraints
    4.3 Market Drivers
    4.3.1 Technological Advancements for Efficient HMI and Demand for Cost-effective Features
    4.3.2 Evolution of Artificial Intelligence and Machine Learning Technology Augmented with Fall in Sensors Prices
    4.3.3 Increasing Use of Devices Supporting Gesture Recognition across End-user Industries
    4.4 Market Restraints
    4.4.1 Algorithms, Mathematical, and Other Complexities Associated with the Use of Gesture Recognition Technology
    4.4.2 High Battery Power Consumption by Gesture Sensors, due to the ‘Always-on’ User Interface
    4.5 Value Chain / Supply Chain Analysis
    4.6 Industry Attractiveness Porters Five Force Analysis
    4.6.1 Threat of New Entrants
    4.6.2 Bargaining Power of Buyers/Consumers
    4.6.3 Bargaining Power of Suppliers
    4.6.4 Threat of Substitute Products
    4.6.5 Intensity of Competitive Rivalry

    5 MARKET SEGMENTATION
    5.1 By Technology
    5.1.1 Touch-based Gesture Recognition
    5.1.2 Touchless Gesture Recognition
    5.2 By End User Industry
    5.2.1 Aerospace and Defense
    5.2.2 Automotive
    5.2.3 Consumer Electronics
    5.2.4 Gaming
    5.2.5 Healthcare
    5.2.6 Other Industries
    5.3 Geography
    5.3.1 North America
    5.3.2 Europe
    5.3.3 Asia Pacific
    5.3.4 Latin America
    5.3.5 Middle East and Africa

    6 COMPETITIVE LANDSCAPE
    6.1 Company Profiles
    6.1.1 Intel Corporation
    6.1.2 Jabil Inc.
    6.1.3 Leap Motion Inc.
    6.1.4 Microchip Technology Inc.
    6.1.5 Sony Corporation
    6.1.6 Elliptic Laboratories A/S
    6.1.7 Thalmic Labs Inc.
    6.1.8 Sony Corporation
    6.1.9 Pyreos Limited
    6.1.10 GestureTek Inc.
    6.1.11 Fibaro Group SA
    6.1.12 Eyesight Technologies Ltd

    7 INVESTMENT ANALYSIS

    8 MARKET OPPORTUNITIES AND FUTURE TRENDS

     

    Contact Us:

    Name: Ajay More

    Phone: US +14242530807/ UK +44 20 3239 8187

    Email: [email protected]

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