Market Overview:
The global automotive virtual assistant market is estimated to be valued at US$ XX Mn in 2018 and is projected to reach US$ XX Mn by 2030, exhibiting a CAGR of X.X% during the forecast period. The market growth can be attributed to the increasing demand for advanced technologies in passenger vehicles and commercial vehicles. Embedded type is expected to hold a dominant position in the global automotive virtual assistant market throughout the forecast period. This can be attributed to various factors such as low cost, easy installation, and compatibility with different types of vehicles. Device-to-car type is anticipated to grow at a higher CAGR during the forecast period owing to its ability provide hands-free operation and enhanced safety features.
Product Definition:
An automotive virtual assistant is a software program that helps drivers with tasks such as navigation, climate control and music playback. These assistants can also provide information about the car's status, such as fuel level and oil pressure. Some virtual assistants can even be used to start or stop the engine remotely.
Embedded:
Embedded is a computer program directly executed by the hardware, which is used to refer to programs that are run on dedicated electronic devices, including microcontrollers and Field Programmable Gate Arrays (FPGAs). In other words, embedded systems contain all the components required to implement a complete solution from start to end. They consist of an operating system kernel and all the supporting software needed for its execution.
Via Smartphone Integration:
The global virtual assistant market is expected to witness significant growth over the forecast period owing to increasing demand for smartphones and improved internet connectivity. Via smartphone integration with VAS helps users control their vehicles using voice commands. It also provides features such as parking assistance, music controls, news & weather updates and others on-demand services from inside the car.
Increasing adoption of advanced technologies such as machine learning.
Application Insights:
The passenger vehicle segment dominated the market in 2017 and is expected to maintain its dominance over the forecast period. The increasing demand for advanced driver-assistance systems (ADAS) in passenger vehicles is one of the key factors driving this growth. ADAS, which includes active safety systems such as blind-spot detection, forward collision warning and adaptive cruise control, among others, are increasingly being introduced across various car models globally. This trend is projected to continue over the forecast period with more advanced driver assistance systems being introduced into cars in near future.
Commercial vehicles are also anticipated to exhibit significant growth during the same period owing to increased adoption of V2V communication technology between commercial vehicles.
Regional Analysis:
The North American regional market accounted for the largest share in 2017 and is expected to continue its dominance over the forecast period. The region has been witnessing increasing demand for advanced driver assistance systems (ADAS) and autonomous vehicles, which are likely to fuel the virtual assistant technology growth. Moreover, technological advancements such as voice recognition software and artificial intelligence will further boost product adoption across this region.
Asia Pacific is anticipated to be one of the fastest-growing regions owing to rising disposable income levels among consumers coupled with government initiatives supporting new technologies in emerging countries such as China, India, South Korea & Japan. For instance, In January 2018; Government of India launched “Aadhaar Pay†app that allows users make payments using their biometric data stored on UIDAI servers instead of cash or cheque at merchants located within a radius of 100 meters from their homes across India.
Growth Factors:
- Increasing demand for connected cars and autonomous vehicles
- Rising demand for convenience and comfort in driving
- Proliferation of artificial intelligence (AI) and machine learning technologies
- Growing popularity of voice-activated virtual assistants, such as Siri, Cortana, and Alexa
- Increasing number of partnerships between automakers and tech companies
Scope Of The Report
Report Attributes
Report Details
Report Title
Automotive Virtual Assistant Market Research Report
By Type
Embedded, Via Smartphone Integration, Device-to-car
By Application
Passenger Vehicle, Commercial Vehicle
By Companies
Nuance Communications, Inc., Google Inc., Microsoft Corporation, Apple Inc., Amazon, SoundHound Inc, Artificial Solutions Ltd., Elektrobit Corporation, Skoda, Kenyt, BMW Group, NIO
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
136
Number of Tables & Figures
96
Customization Available
Yes, the report can be customized as per your need.
Global Automotive Virtual Assistant Market Report Segments:
The global Automotive Virtual Assistant market is segmented on the basis of:
Types
Embedded, Via Smartphone Integration, Device-to-car
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Passenger Vehicle, Commercial Vehicle
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Nuance Communications, Inc.
- Google Inc.
- Microsoft Corporation
- Apple Inc.
- Amazon
- SoundHound Inc
- Artificial Solutions Ltd.
- Elektrobit Corporation
- Skoda
- Kenyt
- BMW Group
- NIO
Highlights of The Automotive Virtual Assistant Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Embedded
- Via Smartphone Integration
- Device-to-car
- By Application:
- Passenger Vehicle
- Commercial Vehicle
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Automotive Virtual Assistant Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Automotive Virtual Assistant is a service that helps drivers find new or used cars, get quotes, and make purchases.
Some of the major companies in the automotive virtual assistant market are Nuance Communications, Inc., Google Inc., Microsoft Corporation, Apple Inc., Amazon, SoundHound Inc, Artificial Solutions Ltd., Elektrobit Corporation, Skoda, Kenyt, BMW Group, NIO.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automotive Virtual Assistant Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Automotive Virtual Assistant Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Automotive Virtual Assistant Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Automotive Virtual Assistant Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Automotive Virtual Assistant Market Size & Forecast, 2018-2028 4.5.1 Automotive Virtual Assistant Market Size and Y-o-Y Growth 4.5.2 Automotive Virtual Assistant Market Absolute $ Opportunity
Chapter 5 Global Automotive Virtual Assistant Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Automotive Virtual Assistant Market Size Forecast by Type
5.2.1 Embedded
5.2.2 Via Smartphone Integration
5.2.3 Device-to-car
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Automotive Virtual Assistant Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Automotive Virtual Assistant Market Size Forecast by Applications
6.2.1 Passenger Vehicle
6.2.2 Commercial Vehicle
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Automotive Virtual Assistant Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Automotive Virtual Assistant Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Automotive Virtual Assistant Analysis and Forecast
9.1 Introduction
9.2 North America Automotive Virtual Assistant Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Automotive Virtual Assistant Market Size Forecast by Type
9.6.1 Embedded
9.6.2 Via Smartphone Integration
9.6.3 Device-to-car
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Automotive Virtual Assistant Market Size Forecast by Applications
9.10.1 Passenger Vehicle
9.10.2 Commercial Vehicle
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Automotive Virtual Assistant Analysis and Forecast
10.1 Introduction
10.2 Europe Automotive Virtual Assistant Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Automotive Virtual Assistant Market Size Forecast by Type
10.6.1 Embedded
10.6.2 Via Smartphone Integration
10.6.3 Device-to-car
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Automotive Virtual Assistant Market Size Forecast by Applications
10.10.1 Passenger Vehicle
10.10.2 Commercial Vehicle
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Automotive Virtual Assistant Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Automotive Virtual Assistant Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Automotive Virtual Assistant Market Size Forecast by Type
11.6.1 Embedded
11.6.2 Via Smartphone Integration
11.6.3 Device-to-car
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Automotive Virtual Assistant Market Size Forecast by Applications
11.10.1 Passenger Vehicle
11.10.2 Commercial Vehicle
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Automotive Virtual Assistant Analysis and Forecast
12.1 Introduction
12.2 Latin America Automotive Virtual Assistant Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Automotive Virtual Assistant Market Size Forecast by Type
12.6.1 Embedded
12.6.2 Via Smartphone Integration
12.6.3 Device-to-car
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Automotive Virtual Assistant Market Size Forecast by Applications
12.10.1 Passenger Vehicle
12.10.2 Commercial Vehicle
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Automotive Virtual Assistant Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Automotive Virtual Assistant Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Automotive Virtual Assistant Market Size Forecast by Type
13.6.1 Embedded
13.6.2 Via Smartphone Integration
13.6.3 Device-to-car
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Automotive Virtual Assistant Market Size Forecast by Applications
13.10.1 Passenger Vehicle
13.10.2 Commercial Vehicle
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Automotive Virtual Assistant Market: Competitive Dashboard
14.2 Global Automotive Virtual Assistant Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Nuance Communications, Inc.
14.3.2 Google Inc.
14.3.3 Microsoft Corporation
14.3.4 Apple Inc.
14.3.5 Amazon
14.3.6 SoundHound Inc
14.3.7 Artificial Solutions Ltd.
14.3.8 Elektrobit Corporation
14.3.9 Skoda
14.3.10 Kenyt
14.3.11 BMW Group
14.3.12 NIO