Virtual personal assistant (VPA)—unleashing the power of voice in the car

Virtual personal assistant (VPA)—unleashing the power of voice in the car

Publication Date: 13-Jan-2022

This report seeks to provide insights on today’s automotive virtual personal assistant (VPA) market and the major trends that are likely to impact it over the next five years as it proliferates from consumer electronics to smart homes and over to connected vehicles.

This report seeks to provide insights on today’s automotive virtual personal assistant (VPA) market and the major trends that are likely to impact it over the next five years as it proliferates from consumer electronics to smart homes and over to connected vehicles.

The report not only presents a detailed analysis of the many automotive VPA technologies available today but also reviews some of the key feature offerings.

Additionally, this report will also analyze how developments in the automotive VPA landscape complement or drive other HMI technologies in the vehicle cockpit.

Lastly, the report reviews the main suppliers of automotive VPA technology and how OEMs strategize their VPA integration through third-party collaborations and unique deployments and customizations.

1. Overview
    a) Report summary
    b) Research methodology
2. Introduction
    a) Speech recognition versus virtual personal assistant (VPA)
    b) On-board versus off-board speech recognition
    c) Voice: Key to multimodal interaction
3. Technical analysis
    a) VPA architecture
    b) VPA customization
    c) VPA interoperability
    d) Smartphone integration platforms
    e) Challenges in VPA implementation
4. Market analysis
    a) Market drivers
    b) Global VPA demand
    c) Market penetration
    d) Consumer survey findings
5. Supplier analysis
    a) Alibaba
    b) Amazon
    c) Apple
    d) Baidu
    e) Cerence
    f) German Autolabs
    g) Google
    h) iFlytek
    i) Microsoft
    j) Samsung
    k) SoundHound
6. OEM analysis
    a) Integration strategy
    b) VPA relationships
    c) Case study: Google Assistant versus Amazon Alexa
    d) Mercedes-Benz versus BMW
7. Conclusion

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