Global Automotive Voice Recognition Market Anticipated for Progressive CAGR Growth during 2018-2025

Albany, US, 2018-Jul-03 — /EPR Network/ —: The market for Automotive Voice Recognition is growing with the expansion of this Industry Sector Worldwide. Market Research Hub (MRH) has added a new report titled “Global Automotive Voice Recognition Market Size, Status and Forecast 2025” which offer details about the current trends and analysis, as well as scope for the near future. This research study also covers information about the production, consumption and market share based on different active regions. Furthermore, an anticipated growth at a double-digit CAGR for the Automotive Voice Recognition sector is highlighted in the report which indicates a prosperous future.

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This report studies the global Automotive Voice Recognition market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Automotive Voice Recognition market by companies, region, type and end-use industry.

Voice Recognition is the identification of a person from characteristics of voices. Voice recognition converts speech from a recorded audio signal to text. Humans convert words to speech with their speech production mechanism. An voice recognition aims to infer those original words given the observable signal.
In the recent years, the development of automotive voice recognition market is quite fast due to the fast increase of the amount of global vehicle production.

Nuance is still the largest player in the automotive voice recognition market, occupying market share more than 70%. It sells millions of products to automotive manufacturers and automotive multimedia system supplier.

In fact, the automotive voice recognition system is generally integrated in the automotive multimedia system. Now, more and more automotive voice recognition can recognize several languages to meet drivers demand.

Thanks to the fast development of automotive industry, the development of automotive voice recognition market is promising in the next several years, especially in developing regions like China.

In 2017, the global Automotive Voice Recognition market size was 180 million US$ and it is expected to reach 240 million US$ by the end of 2025, with a CAGR of 3.9% during 2018-2025.

This report focuses on the global top players, covered
Nuance
VoiceBox
Iflytek
Fuetrek
Sensory
AMI
LumenVox

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India

Market segment by Type, the product can be split into
Single language recognition
Multilingual Recognition

Market segment by Application, split into
Passenger Vehicle
Commercial Vehicle

The study objectives of this report are:
To study and forecast the market size of Automotive Voice Recognition in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.

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Table of Contents

Global Automotive Voice Recognition Market Size, Status and Forecast 2025
1 Industry Overview of Automotive Voice Recognition
1.1 Automotive Voice Recognition Market Overview
1.1.1 Automotive Voice Recognition Product Scope
1.1.2 Market Status and Outlook
1.2 Global Automotive Voice Recognition Market Size and Analysis by Regions (2013-2018)
1.2.1 United States
1.2.2 Europe
1.2.3 China
1.2.4 Japan
1.2.5 Southeast Asia
1.2.6 India
1.3 Automotive Voice Recognition Market by Type
1.3.1 Single language recognition
1.3.2 Multilingual Recognition
1.4 Automotive Voice Recognition Market by End Users/Application
1.4.1 Passenger Vehicle
1.4.2 Commercial Vehicle

2 Global Automotive Voice Recognition Competition Analysis by Players
2.1 Automotive Voice Recognition Market Size (Value) by Players (2013-2018)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles
3.1 Nuance
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)
3.2 VoiceBox
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)
3.3 Iflytek
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)
3.4 Fuetrek
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)
3.5 Sensory
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)
3.6 AMI
3.6.1 Company Profile
3.6.2 Main Business/Business Overview
3.6.3 Products, Services and Solutions
3.6.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)
3.7 LumenVox
3.7.1 Company Profile
3.7.2 Main Business/Business Overview
3.7.3 Products, Services and Solutions
3.7.4 Automotive Voice Recognition Revenue (Million USD) (2013-2018)

Continue….

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