Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors
09-May-2016
North America
Market Research
MBAE-01-00-00-00
AU01304-NA-MR_18560
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.
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
OEM’s VR Efforts
Automotive Voice Recognition Forecast
Future Outlook
Conclusion
The Last Word—3 Big Predictions
Legal Disclaimer
Table of Abbreviations and Acronyms Used
- 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
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| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| 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 |
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