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Speech Recognition Market by Deployment Mode and End Use: Global Opportunity Analysis and Industry Forecast, 2019-2026

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    Report

  • 250 Pages
  • March 2020
  • Region: Global
  • Allied Market Research
  • ID: 5031442
The global speech recognition market was valued at $6.39billion in 2018, and is projected to reach $29.28 billion by 2026, registering a CAGR of 19.9% from 2019 to 2026.Speech recognition technologyenables system to identify the sound of spoken words and convert them into machine readable form. Itis majorly used in various devices such as smartphones, cars, and computers. This technology uses linguistic units for speech and audio signals, which are measured by word error rate (WER) and help to identify the inaccuracies occurred while processing.



Factors such as increasing demand for speech recognition in automotive, rising demand for voice biometric systems for user authentication and high growth potential in healthcare application has boosted the growth of the global Speech recognition market. However, lack of accuracy in harsh environments and high installation cost, act as a major restraint hampering the market growth. Furthermore, rising adoption of speech recognition in the consumer verticals and emergence of speech recognition in robotics offers lucrative opportunities for the Speech recognition market growth globally.

The global Speech recognition market is analyzed by deployment mode, end use, and region. Based on deployment, the market is analyzed across on cloud and on premise. On the basis of end use, the market is divided into automotive, consumer electronics, healthcare, enterprise and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA along with their prominent countries.

The key players profiled in the report includeincludeGoogle Inc., Naunce Communication, IBM, Baidu, Amazon, Microsoft, Raytheon BBN Technologies, Sensory, Iflytek, and Speak2web. These key players have adopted strategies, such as product portfolio expansion, mergers & acquisitions, agreements, geographical expansion, and collaborations, to enhance their market penetration.

GLOBAL SPEECH RECOGNITION MARKET SEGMENTATION

By Deployment Mode
  • On Cloud
  • On Premise

By End Use
  • Automotive
  • Consumer Electronics
  • Healthcare
  • Enterprise
  • Others

By Region
  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • UK
  • Germany
  • France
  • Russia
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

KEY MARKET PLAYERS
  • Google Inc.
  • Naunce Communication
  • IBM
  • Baidu
  • Amazon
  • Microsoft
  • Raytheon
  • BBN Technologies
  • Sensory
  • Iflytek
  • Speak2web

Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings
2.1.1. Top impacting factors
2.1.2. Top investment pockets
2.2. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key forces shaping embedded processor market
3.3. Patent analysis
3.3.1. SPEECH RECOGNITION, by Region (2018-2019)
3.3.2. SPEECH RECOGNITION, by applicant
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Increase in demand for speech recognition in automotive
3.4.1.2. Rise in demand for voice biometric systems for user authentication
3.4.1.3. High Growth Potential in Healthcare Application
3.4.2. Restraints
3.4.2.1. Lack of Accuracy in harsh environments
3.4.3. Opportunities
3.4.3.1. a rise in the adoption of speech recognition in the consumer verticals
3.4.3.2. Emergence of speech recognition in robotics
CHAPTER 4: SPEECH RECOGNITIOM MARKET, BY DEPLOYMENT MODE
4.1. Overview
4.2. On-cloud
4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis, by country
4.3. On-premise
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis, by country
4.3.4.
CHAPTER 5: SPEECH RECOGNITION MARKET, BY END USER
5.1. Overview
5.2. Automotive
5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis, by country
5.3. Consumer Electronics
5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis, by country
5.4. Healthcare
5.4.1. Key market trends, growth factors, and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market analysis, by country
5.5. Enterprise
5.5.1. Key market trends, growth factors, and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market analysis, by country
5.6. Others
5.6.1. Key market trends, growth factors, and opportunities
5.6.2. Market size and forecast, by region
5.6.3. Market analysis, by country
CHAPTER 6: SPEECH RECOGNITION MARKET, BY REGION
6.1. Overview
6.2. North America
6.2.1. Key market trends, growth factors, and opportunities
6.2.2. Market size and forecast, by deployment mode
6.2.3. Market size and forecast, by end user
6.2.4. Market analysis, by country
6.2.4.1. U. S.
6.2.4.1.1. Market size and forecast, by deployment mode
6.2.4.1.2. Market size and forecast, by end user
6.2.4.2. Canada
6.2.4.2.1. Market size and forecast, by deployment mode
6.2.4.2.2. Market size and forecast, by end user
6.2.4.3. Mexico
6.2.4.3.1. Market size and forecast, by deployment mode
6.2.4.3.2. Market size and forecast, by end user
6.3. Europe
6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast, by deployment mode
6.3.3. Market size and forecast, by end user
6.3.4. Market analysis, by country
6.3.4.1. UK
6.3.4.1.1. Market size and forecast, by deployment mode
6.3.4.1.2. Market size and forecast, by end user
6.3.4.2. Germany
6.3.4.2.1. Market size and forecast, by deployment mode
6.3.4.2.2. Market size and forecast, by end user
6.3.4.3. France
6.3.4.3.1. Market size and forecast, by deployment mode
6.3.4.3.2. Market size and forecast, by end user
6.3.4.4. Russia
6.3.4.4.1. Market size and forecast, by deployment mode
6.3.4.4.2. Market size and forecast, by end user
6.3.4.5. Rest of Europe
6.3.4.5.1. Market size and forecast, by deployment mode
6.3.4.5.2. Market size and forecast, by end user
6.4. Asia-pacific
6.4.1. Key market trends, growth factors, and opportunities
6.4.2. Market size and forecast, by deployment mode
6.4.3. Market size and forecast, by end user
6.4.4. Market analysis, by country
6.4.4.1. China
6.4.4.1.1. Market size and forecast, by deployment mode
6.4.4.1.2. Market size and forecast, by end user
6.4.4.2. India
6.4.4.2.1. Market size and forecast, by deployment mode
6.4.4.2.2. Market size and forecast, by end user
6.4.4.3. Japan
6.4.4.3.1. Market size and forecast, by deployment mode
6.4.4.3.2. Market size and forecast, by end user
6.4.4.4. Australia
6.4.4.4.1. Market size and forecast, by deployment mode
6.4.4.4.2. Market size and forecast, by end user
6.4.4.5. Rest of Asia-Pacific
6.4.4.5.1. Market size and forecast, by deployment mode
6.4.4.5.2. Market size and forecast, by end user
6.5. LAMEA
6.5.1. Key market trends, growth factors, and opportunities
6.5.2. Market size and forecast, by deployment mode
6.5.3. Market size and forecast, by end user
6.5.4. Market analysis, by country
6.5.4.1. Latin America
6.5.4.1.1. Market size and forecast, by deployment mode
6.5.4.1.2. Market size and forecast, by end user
6.5.4.2. Middle East
6.5.4.2.1. Market size and forecast, by deployment mode
6.5.4.2.2. Market size and forecast, by end user
6.5.4.3. Africa
6.5.4.3.1. Market size and forecast, by deployment mode
6.5.4.3.2. Market size and forecast, by end user
CHAPTER 7: COMPETITIVE LANDSCAPE
7.1. Introduction
7.2. Top winning strategies
7.2.1. Top winning strategies, by year
7.2.2. Top winning strategies, by development
7.2.3. Top winning strategies, by company
CHAPTER 8: COMPANY PROFILES
8.1. Amazon. Com, Inc.
8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments
8.2. Baidu, Inc.
8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Product portfolio
8.2.5. R&D Expenditure
8.2.6. Business performance
8.2.7. Key strategic moves and developments
8.3. Google Inc. (Alphabet Inc. )
8.3.1. Company overview
8.3.2. Company snapshot
8.3.1. Operating business segments
8.3.2. Product portfolio
8.3.3. Business performance
8.3.4. Key strategic moves and developments
8.4. IBM Corporation.
8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Operating business segments
8.4.4. Product portfolio
8.4.5. Business performance
8.5. IFLYTEK Inc.
8.5.1. Company overview
8.5.2. Key Executive
8.5.3. Company snapshot
8.5.4. Product portfolio
8.5.5. Key strategic moves and developments
8.6. Microsoft Corporation
8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. R&D Expenditure
8.6.6. Business performance
8.6.7. Key strategic moves and developments
8.7. Nuance Communications, Inc.
8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Product portfolio
8.7.5. Business performance
8.7.6. Key strategic moves and developments
8.8. Raytheon Company
8.8.1. Company overview
8.8.2. Key Executive
8.8.3. Company snapshot
8.8.4. Operating business segments
8.8.5. Product portfolio
8.8.6. R&D Expenditure
8.8.7. Business performance
8.9. Sensory Inc.
8.9.1. Company overview
8.9.2. Key Executive
8.9.3. Company snapshot
8.9.4. Product portfolio
8.9.5. Key strategic moves and developments
8.10. speak2web
8.10.1. Company overview
8.10.2. Key Executive
8.10.3. Company snapshot
8.10.4. Product portfolio

Executive Summary

According to the report titled, 'Speech Recognition Market by Deployment and End User: Global Opportunity Analysis and Industry Forecast, 2018-2026,' the global speech recognition market was valued at$6.39 billion in 2018, and is projected to reach $29.28 billion by 2026, registering a CAGR of 19.9% from 2019 to 2026.

Speech recognition technology catches and identifies the audio signals in the form of language and converts these signals into the machine-readable form. The increase in penetration of artificial intelligence along with development of next generation home automation products is expected to drive the demand for speech recognition market. Several IT technology giants such as Google, and Amazon have developed voice-based virtual assistant based on this technology. AI-based speech recognition was one of the trending technologies in CES, 2018, worldwide recognized trade show by Consumer Technology Association. This has increased the traction of speech recognition technology worldwide. Speech recognition technology is completely changing interaction style of people and their devices, phones, home, and cars. The AI-based speech recognition uses machine learning to respond to user’s question or comm and.

Several companies such as Google and Baidu offering search engine use this technology to provide speech to text-based search. The use cases of speech recognition technology are significantly increasing with upcoming, humanoids using speech recognition to provide actionable output. One of the best use cases of humanoid is reception robot, Pepper designed and programmed by Softbank Robotics used at the reception of banks and medical facilities. Thus, the speech recognition market is currently experiencing an increase in number of use cases significantly, which is expected to drive its demand over the next few years.

The increase in penetration of speech recognition industry in consumer electronic products is fueled by a highly competitive consumer electronics market, where players focus on upgrading their products such as smartphones, laptops, and digital recorders. The major companies such as Nvidia, Samsung, TSMC, and AMD, follow this trend by incorporating advanced integrated circuits and related services in their products. This consecutively increases the demand for speech recognition technologies, and the market is anticipated to grow with high growth rate during the forecast period.

The increase in demand for speech recognition in automotive industry, and the rise in demand for voice-based biometric systems for user authentication along with considerably high growth potential in healthcare application are expected to contribute to the growth of the global speech recognition market. Furthermore, increase in adoption of speech recognition in the consumer electronics and consumer goods verticals are also expected to offer lucrative opportunities for the speech recognition market growth globally. However, lack of accuracy, act as a major restraint hampering the market growth.

The on-premise segment was the highest contributor to the global speech recognition market, with more than 50% share. However, the on-cloud deployment segment is anticipated to witness highest CAGR during forecast period, owing to ability of could-based devices to help organization reduce CAPEX and OPEX and allow them to gain a considerably high level of efficiency at minimal cost. By end use, the healthcare segment is anticipated to dominate the market during forecast period, owing to emergence of enhanced technologies in medical devices such as wireless communication, sensors, ECG electrocardiogram, body area network (BAN) used for heart rate monitoring, and devices to monitor pulse rate, temperature, oxygen, and blood pressure.

According to Ankit Prajapati, Lead Analyst, Semiconductors & Electronics, “Speech recognition is especially designed for an interdisciplinary subfield of computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. Increase in demand for speech recognition in automotive and a rise in requirement of voice biometric systems for user authentication majorly drive the growth of the speech recognition market. Furthermore, North America is dominating the market share in terms of revenue, owing to wide presence of key market players in the region.”

KEY FINDINGS OF THE STUDY
  • By deployment type, the on-premise segment generated the highest revenue in the market in 2018.
  • By end use, the healthcare segment generated the highest revenue in the market in 2018.
  • By region, North America generated the highest revenue in the market in 2018.

The key companies operating in speech recognition market size ecosystem include Google Inc., Naunce Communication, IBM, Baidu, Amazon, Microsoft, Raytheon BBN Technologies, Sensory, Iflytek, and Speak2web. These key players adopted several strategies such as new product launch and development, acquisition, partnership &collaboration, and business expansion to increase their speech recognition market share.

Companies Mentioned

  • Google Inc.
  • Naunce Communication
  • IBM
  • Baidu
  • Amazon
  • Microsoft
  • Raytheon BBN Technologies
  • Sensory
  • Iflytek
  • Speak2web

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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