Global Automatic Speech Recognition Market by Player, Region, Type, Application and Sales Channel
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This report studies the Automatic Speech Recognition market, covering market size for segment by type (Artificial Intelligence Based, Non-Artificial Intelligence Based, etc.), by application (Automotive, Healthcare, etc.), by sales channel (Direct Channel, Distribution Channel), by player (Nuance, Microsoft, Alphabet, IBM, Sensory, etc.) and by region (North America, Europe, Asia-Pacific, South America and Middle East & Africa).
This report provides detailed historical analysis of global market for Automatic Speech Recognition from 2017-2022, and provides extensive market forecasts from 2023-2031 by region/country and subsectors. It covers the sales/revenue/value, gross margin, historical growth and future perspectives in the Automatic Speech Recognition market.
Moreover, the impact of COVID-19 is also concerned. Since outbreak in December 2019, the COVID-19 virus has spread to all around the world and caused huge losses of lives and economy, and the global manufacturing, tourism and financial markets have been hit hard, while the online market/industry increase. Fortunately, with the development of vaccine and other effort by global governments and organizations, the negative impact of COVID-19 is expected to subside and the global economy is expected to recover.
This research covers COVID-19 impacts on the upstream, midstream and downstream industries. Moreover, this research provides an in-depth market evaluation by highlighting information on various aspects covering market dynamics like drivers, barriers, opportunities, threats, and industry news & trends. In the end, this report also provides in-depth analysis and professional advices on how to face the post COIVD-19 period.
The research methodology used to estimate and forecast this market begins by capturing the revenues of the key players and their shares in the market. Various secondary sources such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, have been used to identify and collect information useful for this extensive commercial study of the market. Calculations based on this led to the overall market size. After arriving at the overall market size, the total market has been split into several segments and subsegments, which have then been verified through primary research by conducting extensive interviews with industry experts such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments.
Leading players of Automatic Speech Recognition including:
Nuance
Microsoft
Alphabet
IBM
Sensory
Cantab Research
Amazon
Baidu
Iflytek
Raytheon BBN Technologies
Speak2Web
M2sys
Mmodal
Voicevault
Validsoft
Lumenvox
Acapela Group
Vocalzoom
Biotrust Id
Uniphore Software
Telisma
Market split by Type, can be divided into:
Artificial Intelligence Based
Non-Artificial Intelligence Based
Market split by Application, can be divided into:
Automotive
Healthcare
Smart Home
Mobile Assistants
Others
Market split by Sales Channel, can be divided into:
Direct Channel
Distribution Channel
Market segment by Region/Country including:
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Spain etc.)
Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)
South America (Brazil, Argentina and Colombia etc.)
Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)
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Chapter 1 Automatic Speech Recognition Market Overview
1.1 Automatic Speech Recognition Definition
1.2 Global Automatic Speech Recognition Market Size Status and Outlook (2017-2031)
1.3 Global Automatic Speech Recognition Market Size Comparison by Region (2017-2031)
1.4 Global Automatic Speech Recognition Market Size Comparison by Type (2017-2031)
1.5 Global Automatic Speech Recognition Market Size Comparison by Application (2017-2031)
1.6 Global Automatic Speech Recognition Market Size Comparison by Sales Channel (2017-2031)
1.7 Automatic Speech Recognition Market Dynamics
1.7.1 Market Drivers/Opportunities
1.7.2 Market Challenges/Risks
1.7.3 Market News (Mergers/Acquisitions/Expansion)
1.7.4 COVID-19 Impacts
1.7.5 Russia-Ukraine War Impacts
Chapter 2 Automatic Speech Recognition Market Segment Analysis by Player
2.1 Global Automatic Speech Recognition Sales and Market Share by Player (2020-2022)
2.2 Global Automatic Speech Recognition Revenue and Market Share by Player (2020-2022)
2.3 Global Automatic Speech Recognition Average Price by Player (2020-2022)
2.4 Players Competition Situation & Trends
2.5 Conclusion of Segment by Player
Chapter 3 Automatic Speech Recognition Market Segment Analysis by Type
3.1 Global Automatic Speech Recognition Market by Type
3.1.1 Artificial Intelligence Based
3.1.2 Non-Artificial Intelligence Based
3.2 Global Automatic Speech Recognition Sales and Market Share by Type (2017-2022)
3.3 Global Automatic Speech Recognition Revenue and Market Share by Type (2017-2022)
3.4 Global Automatic Speech Recognition Average Price by Type (2017-2022)
3.5 Leading Players of Automatic Speech Recognition by Type in 2022
3.6 Conclusion of Segment by Type
Chapter 4 Automatic Speech Recognition Market Segment Analysis by Application
4.1 Global Automatic Speech Recognition Market by Application
4.1.1 Automotive
4.1.2 Healthcare
4.1.3 Smart Home
4.1.4 Mobile Assistants
4.1.5 Others
4.2 Global Automatic Speech Recognition Revenue and Market Share by Application (2017-2022)
4.3 Leading Consumers of Automatic Speech Recognition by Application in 2022
4.4 Conclusion of Segment by Application
Chapter 5 Automatic Speech Recognition Market Segment Analysis by Sales Channel
5.1 Global Automatic Speech Recognition Market by Sales Channel
5.1.1 Direct Channel
5.1.2 Distribution Channel
5.2 Global Automatic Speech Recognition Revenue and Market Share by Sales Channel (2017-2022)
5.3 Leading Distributors/Dealers of Automatic Speech Recognition by Sales Channel in 2022
5.4 Conclusion of Segment by Sales Channel
Chapter 6 Automatic Speech Recognition Market Segment Analysis by Region
6.1 Global Automatic Speech Recognition Market Size and CAGR by Region (2017-2031)
6.2 Global Automatic Speech Recognition Sales and Market Share by Region (2017-2022)
6.3 Global Automatic Speech Recognition Revenue and Market Share by Region (2017-2022)
6.4 North America
6.4.1 North America Market by Country
6.4.2 North America Automatic Speech Recognition Market Share by Type
6.4.3 North America Automatic Speech Recognition Market Share by Application
6.4.4 United States
6.4.5 Canada
6.4.6 Mexico
6.5 Europe
6.5.1 Europe Market by Country
6.5.2 Europe Automatic Speech Recognition Market Share by Type
6.5.3 Europe Automatic Speech Recognition Market Share by Application
6.5.4 Germany
6.5.5 UK
6.5.6 France
6.5.7 Italy
6.5.8 Russia
6.5.9 Spain
6.6 Asia-Pacific
6.6.1 Asia-Pacific Market by Country
6.6.2 Asia-Pacific Automatic Speech Recognition Market Share by Type
6.6.3 Asia-Pacific Automatic Speech Recognition Market Share by Application
6.6.4 China
6.6.5 Japan
6.6.6 Korea
6.6.7 India
6.6.8 Southeast Asia
6.6.9 Australia
6.7 South America
6.7.1 South America Market by Country
6.7.2 South America Automatic Speech Recognition Market Share by Type
6.7.3 South America Automatic Speech Recognition Market Share by Application
6.7.4 Brazil
6.7.5 Argentina
6.7.6 Colombia
6.8 Middle East & Africa
6.8.1 Middle East & Africa Market by Country
6.8.2 Middle East & Africa Automatic Speech Recognition Market Share by Type
6.8.3 Middle East & Africa Automatic Speech Recognition Market Share by Application
6.8.4 UAE
6.8.5 Saudi Arabia
6.8.6 South Africa
6.9 Conclusion of Segment by Region
Chapter 7 Profile of Leading Automatic Speech Recognition Players
7.1 Nuance
7.1.1 Company Snapshot
7.1.2 Product/Service Offered
7.1.3 Business Performance (Sales, Price, Revenue, Gross Margin and Market Share)
7.2 Microsoft
7.3 Alphabet
7.4 IBM
7.5 Sensory
7.6 Cantab Research
7.7 Amazon
7.8 Baidu
7.9 Iflytek
7.10 Raytheon BBN Technologies
7.11 Speak2Web
7.12 M2sys
7.13 Mmodal
7.14 Voicevault
7.15 Validsoft
7.16 Lumenvox
7.17 Acapela Group
7.18 Vocalzoom
7.19 Biotrust Id
7.20 Uniphore Software
7.21 Telisma
Chapter 8 Upstream and Downstream Analysis of Automatic Speech Recognition
8.1 Industrial Chain of Automatic Speech Recognition
8.2 Upstream of Automatic Speech Recognition
8.3 Downstream of Automatic Speech Recognition
Chapter 9 Development Trend of Automatic Speech Recognition (2023-2031)
9.1 Global Automatic Speech Recognition Market Size (Sales and Revenue) Forecast (2023-2031)
9.2 Global Automatic Speech Recognition Market Size and CAGR Forecast by Region (2023-2031)
9.3 Global Automatic Speech Recognition Market Size and CAGR Forecast by Type (2023-2031)
9.4 Global Automatic Speech Recognition Market Size and CAGR Forecast by Application (2023-2031)
9.5 Global Automatic Speech Recognition Market Size and CAGR Forecast by Sales Channel (2023-2031)
Chapter 10 Appendix
10.1 Research Methodology
10.2 Data Sources
10.3 Disclaimer
10.4 Analysts Certification
Research Methodology:
Global Automatic Speech Recognition Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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