Automotive Voice Recognition Market, Forecast to 2022

Automotive Voice Recognition Market, Forecast to 2022

Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors

RELEASE DATE
09-May-2016
REGION
North America
Research Code: MBAE-01-00-00-00
SKU: AU01304-NA-MR_18560
$4,950.00
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AU01304-NA-MR_18560
$4,950.00
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Description

Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solutions as a back-up option, as hybrid and cloud-based solutions are facing infrastructure and security challenges. This report presents an analysis of the automotive voice recognition market and identifies the growth potential of various market segments. It also provides an overview of the level of OEM involvement in the voice recognition space and profiles key technology enablers.

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Table of Contents

Key Findings

Key Developments in Voice Recognition

Voice Recognition Outlook

Application Roadmap for VR (2014–2022)

Voice Recognition Trends

Supplier Benchmarking

Summary of Key Vendor Activity

  • Nuance
  • Sensory
  • Voice
  • Box
  • INago
  • Maluuba

Voice Comparative Analysis

  • OEMs in Europe
  • OEMs in North America

Research Scope and Objectives

Geographic Definitions and Research Timeline

Research Aim and Objectives

Research Background

Research Methodology

Automotive Voice Recognition—Introduction

Product Life Cycle of Voice Interface

Solution Segmentation

VR Value Chain Analysis

Voice Recognition Trends

Supplier Scorecard

Virtual Assistant Ecosystem

Voice Recognition—Virtual Assistant

Microsoft’s Cortana—Digital Personal Assistant

Apple’s Siri

Voice Recognition—Smartphone Apps

Biometric Solutions—Automotive Industry

Harman

Harman HALOsonic—Noise Cancelation Technology

Microphone Technology

Sensory, Nuance, iNAGO, Voicebox Technologies, SemVox, Maluuba

Promptu—Introduction and Overview

Automotive Voice Recognition Forecast

Future Outlook

Conclusion

The Last Word—3 Big Predictions

Legal Disclaimer

Table of Abbreviations and Acronyms Used

List of Figures
  • 1. Automotive Voice Recognition Market: Key Findings, Global, 2015
  • 2. Automotive Voice Recognition Market: Use Cases, Global, 2015
  • 3. Automotive Voice Recognition Market: Use Cases, Global, 2015
  • 4. Automotive Voice Recognition Market: Application Roadmap, Global, 2014–2022
  • 5. Automotive Voice Recognition Market: Trends, Global, 2015
  • 6. Automotive Voice Recognition Market: Comparison, Europe, 2015
  • 7. Automotive Voice Recognition Market: Comparison, North America, 2015
  • 8. Automotive Voice Recognition Market: Vehicle Sales, Global, 2015–2022
  • 9. Automotive Voice Recognition Market: List of Key Participants, Global, 2015
  • 10. Automotive Voice Recognition Market: Introduction, Global, 2015
  • 11. Automotive Voice Recognition Market: Solution Segmentation, Global, 2015
  • 12. Automotive Voice Recognition Market: Virtual Assistant, Global, 2015
  • 13. Automotive Voice Recognition Market: Sensory, Global, 2015
  • 14. Automotive Voice Recognition Market: Nuance, Global, 2015
  • 15. Automotive Voice Recognition Market: iNAGO, Global, 2015
  • 16. Automotive Voice Recognition Market: VoiceBox Technologies, Global, 2015
  • 17. Automotive Voice Recognition Market: SemVox, Global, 2015
  • 18. Automotive Voice Recognition Market: Maluuba, Global, 2015
  • 19. Automotive Voice Recognition Market: Market Penetration, Global, 2015–2022
  • 20. Automotive Voice Recognition Market: Market Penetration, NA, 2015–2022
  • 21. Automotive Voice Recognition Market: Market Penetration, Europe, 2015–2022
  • 22. Automotive Voice Recognition Market: Market Penetration, China, 2015–2022
  • 23. Automotive Voice Recognition Market: Future Outlook, Global, 2015
Related Research
Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solutions as a back-up option, as hybrid and cloud-based solutions are facing infrastructure and security challenges. This report presents an analysis of the automotive voice recognition market and identifies the growth potential of various market segments. It also provides an overview of the level of OEM involvement in the voice recognition space and profiles key technology enablers.
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Table of Contents | Executive Summary~ || Key Findings~ || Key Developments in Voice Recognition~ || Voice Recognition Outlook~ || Application Roadmap for VR (2014–2022)~ || Voice Recognition Trends~ || Supplier Benchmarking~ || Summary of Key Vendor Activity~ ||| Nuance~ ||| Sensory~ ||| Voice~ ||| Box~ ||| INago~ ||| Maluuba~ || Voice Comparative Analysis~ ||| OEMs in Europe~ ||| OEMs in North America~ | Research Scope, Objectives, Background, and Methodology~ || Research Scope and Objectives ~ || Geographic Definitions and Research Timeline~ ||| Regional markets covered in this study~ |||| North America~ |||| Europe~ |||| China~ || Research Aim and Objectives~ || Research Background~ || Research Methodology~ ||| Primary Research~ ||| Secondary Research~ ||| List of Key Participants~ |||| Nuance ~ |||| iNago~ |||| Sensory~ |||| VoiceBox Technologies~ |||| Maluuba~ |||| VocalZoom~ |||| Harman~ | Definitions~ || Automotive Voice Recognition—Introduction~ || Product Life Cycle of Voice Interface~ || Solution Segmentation ~ | Automotive Voice Recognition Market Analysis~ || VR Value Chain Analysis ~ || Voice Recognition Trends ~ ||| Biometrics~ ||| Virtual Assistant~ ||| Voice Recognition~ ||| Through Smartphones~ ||| Voice Recognition through Wearables~ ||| Lip and face reading for voice commands~ ||| Cloud-based Solution: ~ || Supplier Scorecard ~ || Virtual Assistant Ecosystem~ || Voice Recognition—Virtual Assistant~ || Microsoft’s Cortana—Digital Personal Assistant~ || Apple’s Siri~ || Voice Recognition—Smartphone Apps~ || Biometric Solutions—Automotive Industry~ | Noise Cancellation~ || Harman~ || Harman HALOsonic—Noise Cancelation Technology~ || Microphone Technology~ | ~ | Technology Enablers—Profiles~ || Sensory, Nuance, iNAGO, Voicebox Technologies, SemVox, Maluuba~ ||| Product Offerings~ ||| Business Units~ ||| Partners~ ||| Solution type~ ||| Automotive Solution~ ||| Supporting platform~ || Promptu—Introduction and Overview~ | OEMs and Tier-I Suppliers—Efforts in the Voice Recognition Space~ || OEM’s VR Efforts~ ||| Ford’s Siri Eyes-Free OTA Update~ ||| Ford SYNC with Amazon Alexa~ ||| Volvo in Partnership with Microsoft~ ||| BMW with Microsoft: Mobility Companion~ | Automotive Voice Recognition Market Forecast~ || Automotive Voice Recognition Forecast~ ||| Global~ ||| North America (2015–2022)~ ||| Europe (2015–2022)~ ||| China (2015–2022)~ | Key Conclusions~ || Future Outlook~ || Conclusion~ || The Last Word—3 Big Predictions~ || Legal Disclaimer~ | Appendix~ || Table of Abbreviations and Acronyms Used~
List of Charts and Figures 1. Automotive Voice Recognition Market: Key Findings, Global, 2015~ 2. Automotive Voice Recognition Market: Use Cases, Global, 2015~ 3. Automotive Voice Recognition Market: Use Cases, Global, 2015~ 4. Automotive Voice Recognition Market: Application Roadmap, Global, 2014–2022~ 5. Automotive Voice Recognition Market: Trends, Global, 2015~ 6. Automotive Voice Recognition Market: Comparison, Europe, 2015~ 7. Automotive Voice Recognition Market: Comparison, North America, 2015~ 8. Automotive Voice Recognition Market: Vehicle Sales, Global, 2015–2022~ 9. Automotive Voice Recognition Market: List of Key Participants, Global, 2015~ 10. Automotive Voice Recognition Market: Introduction, Global, 2015~ 11. Automotive Voice Recognition Market: Solution Segmentation, Global, 2015~ 12. Automotive Voice Recognition Market: Virtual Assistant, Global, 2015~ 13. Automotive Voice Recognition Market: Sensory, Global, 2015~ 14. Automotive Voice Recognition Market: Nuance, Global, 2015~ 15. Automotive Voice Recognition Market: iNAGO, Global, 2015~ 16. Automotive Voice Recognition Market: VoiceBox Technologies, Global, 2015~ 17. Automotive Voice Recognition Market: SemVox, Global, 2015~ 18. Automotive Voice Recognition Market: Maluuba, Global, 2015~ 19. Automotive Voice Recognition Market: Market Penetration, Global, 2015–2022~ 20. Automotive Voice Recognition Market: Market Penetration, NA, 2015–2022~ 21. Automotive Voice Recognition Market: Market Penetration, Europe, 2015–2022~ 22. Automotive Voice Recognition Market: Market Penetration, China, 2015–2022~ 23. Automotive Voice Recognition Market: Future Outlook, Global, 2015~
Author Ramnath Eswaravadivoo
Industries Automotive
WIP Number MBAE-01-00-00-00
Is Prebook No