Global Automatic Speech Recognition (ASR) Software Market to reach grow with a CAGR of about 15.1% by 2026.

Global Automatic Speech Recognition (ASR) Software Market Size study, by Type (Recognition Software for PCs and Macs, Recognition Software for Phones and Tablets, Recognition Software for Automobile), by Application (In-car Systems, Healthcare, Military, Telephone, Others) and Regional Forecasts 2019-2026
Product Code:  IACTEIAS_73953398
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Key Trends
1.3.	Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
1.3.1.	Automatic Speech Recognition (ASR) Software Market, by Type, 2016-2026 (USD Billion)
1.3.2.	Automatic Speech Recognition (ASR) Software Market, by Application, 2016-2026 (USD Billion)
1.3.3.	Automatic Speech Recognition (ASR) Software Market, by Region, 2016-2026 (USD Billion)
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Automatic Speech Recognition (ASR) Software Market Definition and Scope 
2.1.	Objective of the Study	
2.2.	Market Definition & Scope
2.2.1.	Industry Evolution
2.2.2.	Scope of the Study
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Automatic Speech Recognition (ASR) Software Market Dynamics	
3.1.	See Saw Analysis
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Automatic Speech Recognition (ASR) Software Market Industry Analysis
4.1.	Porter’s 5 Force Model
4.1.1.	Bargaining Power of Buyers
4.1.2.	Bargaining Power of Suppliers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 Force Model
4.2.	PEST Analysis
4.2.1.	Political Scenario
4.2.2.	Economic Scenario
4.2.3.	Social Scenario
4.2.4.	Technological Scenario
4.3.	Key Buying Criteria (On Demand)
4.4.	Regulatory Framework (On Demand)
4.5.	Investment Vs Adoption Scenario (On Demand)
4.6.	Analyst Recommendation & Conclusion
Chapter 5.	Automatic Speech Recognition (ASR) Software Market, by Type
5.1.	Market Snapshot 
5.2.	Market Performance - Potential Model
5.3.	Automatic Speech Recognition (ASR) Software Market, Sub Segment Analysis
5.3.1.	Recognition Software for PCs and Macs
5.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.	Recognition Software for Phones and Tablets
5.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.	Recognition Software for Automobile 
5.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 6.	Automatic Speech Recognition (ASR) Software Market, by Application
6.1.	Market Snapshot 
6.2.	Market Performance - Potential Model
6.3.	Automatic Speech Recognition (ASR) Software Market, Sub Segment Analysis
6.3.1.	In-car System
6.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.	Healthcare
6.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.	Military
6.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.4.	Telephone
6.3.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.4.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.5.	Others
6.3.5.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.5.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 7.	Automatic Speech Recognition (ASR) Software Market, by Regional Analysis
7.1.	Automatic Speech Recognition (ASR) Software Market, Regional Market Snapshot (2016-2026)
7.2.	North America Automatic Speech Recognition (ASR) Software Market Snapshot
7.2.1.	U.S.
7.2.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.2.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.2.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.2.2.	Canada
7.2.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.2.2.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.2.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.	Europe Automatic Speech Recognition (ASR) Software Market  Snapshot
7.3.1.	U.K. 
7.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.	Germany 
7.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.	France 
7.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.4.	Rest of Europe
7.3.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.4.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.4.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.	Asia Automatic Speech Recognition (ASR) Software Market Snapshot
7.4.1.	China 
7.4.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.2.	India 
7.4.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.2.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.3.	Japan
7.4.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.3.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.3.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.4.	Rest of Asia Pacific
7.4.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.4.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.4.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.	Latin America Automatic Speech Recognition (ASR) Software Market Snapshot
7.5.1.	Brazil 
7.5.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.5.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.2.	Mexico 
7.5.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.5.2.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.6.	Rest of The World 
7.6.1.	South America
7.6.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.6.1.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.6.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.6.2.	Middle East and Africa
7.6.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.6.2.2.	 Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.6.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 8.	Competitive Intelligence
8.1.	Company Market Share (Subject to Data Availability)
8.2.	Top Market Strategies
8.3.	Company Profiles
8.3.1.	Brainasoft
8.3.1.1.	Overview
8.3.1.2.	Financial (Subject to Data Availability)
8.3.1.3.	 Summary
8.3.1.4.	Recent Developments
8.3.2.	Nuance
8.3.3.	LilySpeech
8.3.4.	Smart Action Company
8.3.5.	Lyrix
8.3.6.	Go Transcribe
8.3.7.	Protokol
8.3.8.	NeoSpeech
8.3.9.	Entrada
8.3.10.	Castel Communications
8.3.11.	Crescendo Systems
8.3.12.	Openstream
Chapter 9.	Research Process
9.1.	Research Process
9.1.1.	Data Mining
9.1.2.	Analysis
9.1.3.	Market Estimation
9.1.4.	Validation
9.1.5.	Publishing
9.1.6.	Research Assumption

Global Automatic Speech Recognition (ASR) Software Market valued approximately USD XX billion in 2018 is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2019-2026. The Automatic Speech Recognition (ASR) Software Market is continuously growing in the global scenario at a rapid pace. Automatic Speech Recognition is the technology that allows human beings to use their voices to speak with a computer interface in a way that, in its most sophisticated variations, resembles normal human conversation. The two main types of Automatic Speech Recognition software variants are directed dialogue conversations and natural language conversations. Increasing use of consumer electronics devices such as smart phones in which voice assistance like Siri are used to assist consumers in their day to day tasks is one of the major driver for the market. Additionally, increasing adoption in automobiles and rise in demand for biometric passwords in order to provide security to individuals’ account are the substantial drivers of the market across the globe. Moreover, rising research & development activities to improve accuracy is likely to creating numerous opportunity in the near future. Further, properties of Automatic Speech Recognition (ASR) Software such as it is great choice for the people with handicaps, it makes work easier & quicker and so on. Therefore, these benefits are also rising demand of Automatic Speech Recognition (ASR) Software among its users. However, issues with ASR software to understand the complexities of the jargon and high cost associated with this technology are the restraining factors of Automatic Speech Recognition (ASR) Software market during the forecast period.
The regional analysis of Global Automatic Speech Recognition (ASR) Software Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to growing emphasis on development of AI-based technologies in the region. Europe is estimated to grow at higher rate in the global Automatic Speech Recognition (ASR) Software market over the upcoming years owing to high adoption of voice and speech recognition systems in the region. Further, Asia-Pacific is also anticipated to exhibit higher growth rate / CAGR over the forecast period 2019-2026 due to increasing utilization of smartphones in the emerging regions such as China and India.
The major market player included in this report are:
Brainasoft
Nuance
LilySpeech
Smart Action Company
Lyrix
Go Transcribe
Protokol
NeoSpeech
Entrada
Castel Communications
Crescendo Systems
Openstream

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:

Recognition Software for PCs and Macs
Recognition Software for Phones and Tablets
Recognition Software for Automobile

By Application:

In-car Systems
Healthcare
Military
Telephone
Others

By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026

Target Audience of the Global Automatic Speech Recognition (ASR) Software Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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