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Market Research Report

Advances in Automotive Voice Recognition Market

Published by Frost & Sullivan Product code 358058
Published Content info 64 Pages
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Advances in Automotive Voice Recognition Market
Published: May 9, 2016 Content info: 64 Pages
Description

Virtual Assistant, Voice Biometrics and Deep Learning are the Key Disruptors in the Automotive Voice Recognition Market

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 Questions this Study will Answer

  • What are the various use-cases with voice recognition technology in cars?
  • Does voice biometrics have a promising future within in-car operations?
  • What are the various trends related to voice recognition with the advent of autonomous cars?
  • What are the supplier capabilities and interest levels towards implementing voice recognition in automotive vehicles?
  • What are the research and development (R&D) capabilities and future investment of technology enablers for voice recognition?
Table of Contents
Product Code: MBAE-01-00-00-00

Table of Contents

1. EXECUTIVE SUMMARY

  • 1. Key Findings
  • 2. Key Developments in Voice Recognition
  • 3. Voice Recognition Outlook
  • 4. Application Roadmap for VR (2014-2022)
  • 5. Voice Recognition Trends
  • 6. Supplier Benchmarking
  • 7. Summary of Key Vendor Activity
  • 8. OEMs in Europe-Voice Comparative Analysis
  • 9. OEMs in North America-Voice Comparative Analysis

2. RESEARCH SCOPE, OBJECTIVES, BACKGROUND, AND METHODOLOGY

  • 1. Research Scope and Objectives
  • 2. Geographic Definitions and Research Timeline
  • 3. Research Aim and Objectives
  • 4. Key Questions this Study will Answer
  • 5. Research Background
  • 6. Research Methodology

3. DEFINITIONS

  • 1. Automotive Voice Recognition-Introduction
  • 2. Product Life Cycle of Voice Interface
  • 3. Solution Segmentation

4. AUTOMOTIVE VOICE RECOGNITION MARKET ANALYSIS

  • 1. VR Value Chain Analysis
  • 2. Voice Recognition Trends
  • 3. Voice Recognition Trends (continued)
  • 4. Voice Recognition Trends (continued)
  • 5. Supplier Scorecard
  • 6. Virtual Assistant Ecosystem
  • 7. Voice Recognition-Virtual Assistant
  • 8. Microsoft's Cortana-Digital Personal Assistant
  • 9. Apple's Siri
  • 10. Voice Recognition-Smartphone Apps
  • 11. Biometric Solutions-Automotive Industry

5. NOISE CANCELLATION

  • 1. Harman
  • 2. Harman HALOsonic-Noise Cancelation Technology
  • 3. Microphone Technology

6. TECHNOLOGY ENABLERS-PROFILES

  • 1. Sensory
  • 2. Nuance
  • 3. iNAGO
  • 4. Voicebox Technologies
  • 5. SemVox
  • 6. Maluuba
  • 7. Promptu-Introduction and Overview

7. OEMS AND TIER-I SUPPLIERS-EFFORTS IN THE VOICE RECOGNITION SPACE

  • 1. OEM's VR Efforts-Ford's Siri Eyes-Free OTA Update
  • 2. OEM's VR Efforts-Ford SYNC with Amazon Alexa
  • 3. OEM's VR Efforts-Volvo in Partnership with Microsoft
  • 4. OEM's VR Efforts-BMW with Microsoft: Mobility Companion

8. AUTOMOTIVE VOICE RECOGNITION MARKET FORECAST

  • 1. Automotive Voice Recognition Forecast-Global
  • 2. Automotive Voice Recognition Forecast-North America (2015-2022)
  • 3. Automotive Voice Recognition Forecast-Europe (2015-2022)
  • 4. Automotive Voice Recognition Forecast-China (2015-2022)

9. KEY CONCLUSIONS

  • 1. Future Outlook
  • 2. Conclusion
  • 3. The Last Word-3 Big Predictions
  • 4. Legal Disclaimer

10. APPENDIX

  • 1. Table of Abbreviations and Acronyms Used
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