About Gesture Recognition Technology Gesture recognition technology interprets human motions by using computer algorithms. Human motions include movements of hand, fingers, arms, hea, or the entire body. Gestures are used as an input mechanism that replaces old-fashioned input methods, which use keyboards, mouse, and remote controls among others to control devices and perform certain functions. Technavio’s analysts forecast the global gesture recognition market to grow at a CAGR of 73.1% during the period 2016-2020. Covered in this report The report covers the present scenario and the growth prospects of the global gesture recognition market for 2016-2020. To calculate the market size, the report considers the revenue generated by vendors providing gesture recognition technology for consumer electronic devices such as smartphones, tablets, gaming consoles, and smart TVs. The market is divided into the following segments based on geography: • Americas • APAC • EMEA Technavio's report, Global Gesture Recognition Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming... Research Beam Model: Research Beam Product ID: 733879 2500 USD New
Global Gesture Recognition Market 2016-2020
 
 

Global Gesture Recognition Market 2016-2020

  • Category : Semiconductor and Electronics
  • Published On : September   2016
  • Pages : 70
  • Publisher : Technavio
 
 
 
About Gesture Recognition Technology

Gesture recognition technology interprets human motions by using computer algorithms. Human motions include movements of hand, fingers, arms, hea, or the entire body. Gestures are used as an input mechanism that replaces old-fashioned input methods, which use keyboards, mouse, and remote controls among others to control devices and perform certain functions.

Technavio’s analysts forecast the global gesture recognition market to grow at a CAGR of 73.1% during the period 2016-2020.

Covered in this report
The report covers the present scenario and the growth prospects of the global gesture recognition market for 2016-2020. To calculate the market size, the report considers the revenue generated by vendors providing gesture recognition technology for consumer electronic devices such as smartphones, tablets, gaming consoles, and smart TVs.

The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA

Technavio's report, Global Gesture Recognition Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
• Crunchfish
• eyeSight Technologies
• Infineon Technologies
• Freescale Semiconductor
• Intel
• Jabil
• Microchip Technology
• Microsoft
• PointGrab
• Pyreos
• Qualcomm
• Rithmio
• Samsung Electronics
• Softkinetic
• Sony
• Texas Instruments
• Thalmic Labs

Market driver
• Need for unique user experience
• For a full, detailed list, view our report

Market challenge
• Low value addition of gesture recognition technology
• For a full, detailed list, view our report

Market trend
• Power-free gesture recognition
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2020 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.






PART 01: Executive summary
• Highlights
PART 02: Scope of the report
• Definition
• Market size calculation
• Geographical segmentation
• Vendor segmentation
• Base year
• Common currency conversion rates
PART 03: Market research methodology
• Research methodology
• Economic indicators
PART 04: Introduction
• Key market highlights
• Gesture recognition technology overview
• History
• Current scenario
• Future perspective
PART 05: Market landscape
• Market overview
• Market size and forecast by unit shipment
• Market size and forecast by revenue
• Cost of incorporating gesture recognition technology in different consumer electronics and consumer automobiles
• Five forces analysis for global gesture recognition market
PART 06: Market segmentation by technology
• Market overview
• 2D gesture recognition technology market
• 3D gesture recognition technology market
PART 07: Market segmentation by product
• Market overview
• Smartphones
• PCs
• Smart TVs
• Gaming consoles
• Tablets
• Automobiles
• Datasheet for gesture technology for consumer electronics and consumer automobiles
PART 08: Geographical segmentation
• APAC
• Americas
• EMEA
PART 09: Market drivers
• Processor manufacturers incorporating gesture recognition
• Growing consumer electronics market
• Emergence of gestures as a new way of communicating with machines
• Development of 3D cameras
• Development of motion-control gaming
PART 10: Impact of drivers
PART 11: Market challenges
• Limiting capabilities of hardware
• Low value addition
• Dependence on external light conditions
• Expensive 3D cameras
• Price wars among consumer electronic device manufacturers
PART 12: Impact of drivers and challenges
PART 13: Market trends
• Power-free gesture recognition
• Increase in number of vendors
• Bundling of technologies to improve end-user experience
• Strategic partnerships across supply chain
PART 14: Vendor landscape
• Competitive scenario
PART 15: Vendor analysis
• ArcSoft
• Crunchfish
• eyeSight Technologies
• Intel
• Microsoft
• PointGrab
• Samsung
• SoftKinetic
• Sony
PART 16: Appendix
• List of abbreviations
PART 17: Explore Technavio
List of Exhibits
Exhibit 01: Global gesture recognition market landscape
Exhibit 02: Key countries
Exhibit 03: Common currency rates
Exhibit 04: Global gesture recognition market
Exhibit 05: Global gesture recognition market 2015-2020 (millions of units)
Exhibit 06: Global gesture recognition market 2015-2020 ($ millions)
Exhibit 07: Cost of incorporating gesture recognition technology ($)
Exhibit 08: Market segmentation by technology 2015-2020
Exhibit 09: Contribution of 2D and 3D gesture recognition technology in market 2015-2020
Exhibit 10:D gesture recognition technology adoption by product shipments 2015
Exhibit 11:D gesture recognition technology market by shipment 2020 (in millions)
Exhibit 12:D gesture technology adoption by product shipments 2015
Exhibit 13:D gesture technology adoption by product shipments 2020
Exhibit 14: Global gesture recognition market by product 2015-2020 (by unit shipment)
Exhibit 15: Global gesture recognition market for smartphones if leading vendors do not enter market
Exhibit 16: Tablet shipment if other vendors do not enter gesture recognition market
Exhibit 17: Global gesture recognition technology by shipment 2015-2020 (millions of units)
Exhibit 18: Global gesture recognition technology by shipment 2015-2020 (millions of units)
Exhibit 19: Products and their ranking in region in terms of revenue 2015
Exhibit 20: Products and their ranking among different regions
Exhibit 21: Global gesture recognition market by revenue 2015-2020
Exhibit 22: Product wise segmentation share 2015
Exhibit 23: Product wise segmentation 2015
Exhibit 24: Product wise segmentation share
Exhibit 25: Gesture recognition market by revenue for different regions ($ millions)
Exhibit 26: Impact of drivers
Exhibit 27: Impact of drivers and challenges
Exhibit 28: Key software solutions: Crunchfish
Exhibit 29: Gesture feature availability in Samsung phone models as on 2015

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