About Gesture Recognition Technology Human-machine interaction has reduced the gap between the two and developed a more natural and intuitive interaction. Humans have come a long way from controlling machines through switches fitted on them to remote controls, and currently, through smartphones. In the future, it will be through natural gestures. Gesture control is by far the most natural form of controlling a device. Gesture recognition technology interprets human motions using computer algorithms. Human motions can be movements of hands, fingers, arms, head, or the entire body. Gestures are used as an input mechanism, aimed at replacing old-fashioned input mechanisms such as keyboards, mouse devices, remote controls, and various other forms of control devices. Technavio’s analysts forecast the global gesture recognition market for emerging applications to grow at a CAGR of 52.46% 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 emerging applications for 2016-2020. To calculate the market size, Technavio considers the unit shipment of gesture... Research Beam Model: Research Beam Product ID: 680674 2500 USD New
Global Gesture Recognition Market for Emerging Applications 2016-2020
 
 

Global Gesture Recognition Market for Emerging Applications 2016-2020

  • Category : Healthcare
  • Published On : July   2016
  • Pages : 60
  • Publisher : Technavio
 
 
 
About Gesture Recognition Technology

Human-machine interaction has reduced the gap between the two and developed a more natural and intuitive interaction. Humans have come a long way from controlling machines through switches fitted on them to remote controls, and currently, through smartphones. In the future, it will be through natural gestures. Gesture control is by far the most natural form of controlling a device.
Gesture recognition technology interprets human motions using computer algorithms. Human motions can be movements of hands, fingers, arms, head, or the entire body. Gestures are used as an input mechanism, aimed at replacing old-fashioned input mechanisms such as keyboards, mouse devices, remote controls, and various other forms of control devices.

Technavio’s analysts forecast the global gesture recognition market for emerging applications to grow at a CAGR of 52.46% 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 emerging applications for 2016-2020. To calculate the market size, Technavio considers the unit shipment of gesture recognition products in the following application segments: automotive and consumer electronic devices.

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

Technavio's report, Global Gesture Recognition Market for Emerging Applications 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
• Microsoft
• Sony
• eyeSight Technologies
• PointGrab
• Samsung
Market driver
• Focus on human-machine interface in automotive sector
• For a full, detailed list, view our report

Market challenge
• Lack of gesture-recognition-compatible games
• For a full, detailed list, view our report

Market trend
• Increase in number of M&A
• 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
• Base year
• Definitions
• Market coverage
• Market size calculation
• Geographical segmentation
• Vendor segmentation
• Common currency conversion rates
PART 03: Market research methodology
• Research methodology
• Economic indicators
PART 04: Introduction
• Key market highlights
• How does it work?
• History
PART 05: Summary of key figures
• Summary of key figures
PART 06: Cost of incorporating gesture recognition technology
PART 07: Market landscape
• Market overview
• Market size and forecast
• Market analysis
PART 08: Five forces analysis
• Five forces analysis for global gesture recognition market for gaming consoles
• Five forces analysis for global gesture recognition market for smart TVs
• Five forces analysis for global gesture recognition market for automotive
PART 09: Market segmentation by technology
PART 10: Market segmentation by application
PART 11: Geographical segmentation
• Global gesture recognition market in consumer electronics
• Global gesture recognition market in automotive
PART 12: Market drivers
• Focus on human-machine interface in automotive sector
• User-friendliness of gesture recognition-enabled devices
• Development of 3D cameras
• Increased adoption of motion-control gaming
PART 13: Impact of drivers
PART 14: Market challenges
• Lack of gesture-recognition-compatible games
• Lack of standardization of gesture movements
• Low value-addition of gesture recognition technology
• Dependence on external lighting conditions
• Fatigue caused by gesture recognition in users
• Limited operating range of gesture-recognition-enabled devices
PART 15: Impact of drivers and challenges
PART 16: Market trends
• Increase in number of M&A
• Availability of multifunctional gaming consoles
• Development of in-house gesture recognition technology
• Power-free gesture recognition
• Incorporation of gesture recognition by processor manufacturers
PART 17: Vendor landscape
• Competitive scenario
PART 18: Key vendor analysis
• Microsoft
• Sony
• eyeSight Technologies
• PointGrab
• Samsung
PART 19: Appendix
• List of abbreviation
PART 20: Explore Technavio

List of Exhibits
Exhibit 01: Definitions
Exhibit 02: Key regions covered in the report
Exhibit 03: Key vendors
Exhibit 04: Common currency conversion rates 2013-2015
Exhibit 05: Global gesture recognition market for emerging applications 2015-2020 (millions of units)
Exhibit 06: Global gesture recognition market for emerging applications 2015-2020 ($ million)
Exhibit 07: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020 (%)
Exhibit 08: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020
Exhibit 09: Global gesture recognition market for emerging applications: Segmentation by technology 2015-2020 (millions of units)
Exhibit 10: Global gesture recognition market for emerging applications: Segmentation by technology 2015-2020 ($ million)
Exhibit 11: Global gesture recognition market in consumer electronics by geography 2015-2020
Exhibit 12: Global gesture recognition market in automotive by geography 2015-2020
Exhibit 13: Cost of incorporating gesture recognition technology ($)
Exhibit 14: Global gesture recognition market for emerging applications 2015-2020 ($ million)
Exhibit 15: Global gesture recognition market for emerging applications 2015-2020
Exhibit 16: Global gesture recognition market for emerging applications by technology 2015
Exhibit 17: Contribution of 2D and 3D gesture recognition technology 2015-2020 ($ million)
Exhibit 18: Contribution of 2D and 3D gesture recognition technology 2015-2020 (millions of units)
Exhibit 19: Global gesture recognition market for emerging applications by technology 2016
Exhibit 20: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020 (millions of units)
Exhibit 21: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020 ($ million)
Exhibit 22: Global gesture recognition market in consumer electronics by geography 2015-2020
Exhibit 23: Global gesture recognition market in automotive by geography 2015-2020
Exhibit 24: Impact of drivers
Exhibit 25: Impact of drivers and challenges

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