Report Feature
The future of the voice recognition system market looks promising with opportunities in the passenger car, light commercial vehicle, and electric vehicle markets. The automotive voice recognition sys
tem market is expected to grow with a CAGR of 19% from 2019 to 2024. The major drivers for this market are growing demand of connected and autonomous cars, increasing use of smartphone-enabled functions, and increasing demand for data-driven services within the vehicles.A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of voice recognition system market report download the report brochure.
The study includes the voice recognition system market size and forecast for the voice recognition system market through 2024, segmented by technology, by application, by end-use, and by region as follows:
By Technology [$M shipment analysis for 2013 – 2024]:
- Embedded
- Hybrid
By Application [$M shipment analysis for 2013 – 2024]:
- AI
- Non-AI
By End Use [$M shipment analysis for 2013 – 2024]:
-
Passenger cars
- Small cars
- Compact cars
- Mid-Sized cars
- Luxury cars
- SUVs & Crossovers
- Light Commercial vehicles
- Electric Vehicles
By Region [$M shipment analysis for 2013 – 2024]:
-
North America
- United States
- Canada
- Mexico
-
Europe
- Germany
- UK
- Italy
-
Asia Pacific
- China
- Japan
- India
-
Rest of the World
- Brazil
- Turkey
Some of the voice recognition system companies profiled in this report include Agnitio, Amazon, Apple, Anhui USTC IFlytek; Baidu, Bio Trust ID, Castle OS Software, Facebook, Google; International Business Machines Corporation, JStar, Lumen ox, M2SYSLLC; Microsoft Corporation, MModal, Nortek Holdings, Nuance Communications, Raytheon Company, SemVox, Sensory, Valid Soft U.K. Limited; Voice Box Technologies Corporation, and Voice Vault, and others.
Some of the features of this report:
- Market size estimates: Automotive voice recognition system market size estimation in terms of value ($M) shipment.
- Trend and forecast analysis:Market trend (2013-2018) and forecast (2019-2024) by application, and end use industry.
- Segmentation analysis: Market size by technology, by application, by end-use, and by region.
- Regional analysis: Automotive voice recognition system market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
- Growth opportunities: Analysis on growth opportunities in different applications and regions for voice recognition system in the automotive voice recognition system market.
- Strategic analysis:This includes M&A, new product development, and competitive landscape for, voice recognition system in the automotive voice recognition system market.
- Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
This report answers following 11 key questions:
Q.1 What are some of the most promising potential, high-growth opportunities for the automotive voice recognition system market by application (AI, non-AI), by technology (embedded, hybrid), by end-user (passenger car, light commercial vehicles, and electric vehicles), and by region (North America, Europe, Asia-Pacific, ROW)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the automotive voice recognition system market?
Q.5 What are the business risks and threats to the automotive voice recognition system market?
Q.6 What are emerging trends in this voice recognition system market and the reasons behind them?
Q.7 What are some changing demands of customers in the automotive voice recognition system market?
Q.8 What are the new developments in the automotive voice recognition system market? Which companies are leading these developments?
Q.9 Who are the major players in this automotive voice recognition system market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in this voice recognition system area and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M & A activities have taken place in the last 5 years in this, automotive voice recognition system market?
Table of Contents
1. Executive Summary 2. Market Trends and Forecast Analysis from 2013 to 2024 2.1: Introduction, Background, and Classification 2.2: Supply Chain 2.3: Industry Drivers and Challenges
5. Competitor Analysis 5.1: Product Portfolio Analysis 5.2: Market Share Analysis 5.3: Operational Integration 5.4: Geographical Reach 5.5: Porter’s Five Forces Analysis
7. Company Profiles of Leading Players 7.1: Agnitio 7.2: Amazon 7.3: Apple 7.4: Anhui USTC IFlytek; Baidu 7.5: Bio Trust ID 7.6: Castle OS Software 7.7: Facebook 7.8: Google 7.9: International Business Machines Corporation 7.10: JStar
Methodology
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
- In-depth interviews of the major players in this market
- Detailed secondary research from competitors’ financial statements and published data
- Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
- A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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