Far-Field Speech and Voice Recognition Market by Component (Microphones, DSP and Software), Application (Smart TV/STB, Smart Speakers, Automotive, and Robotics), Microphone Solutions (Single, Linear, Circular), and Geography - Global Forecast to 2024
The overall far-field speech and voice recognition market is expected to reach USD 3,505 million by 2024 from USD 969 million in 2018, growing at a CAGR of 23.89%. The growth of the market can be attributed to the technical advancement of deep-learning-based far-field microphones, growing impact of front-end hardware components on the accuracy of speech and voice recognition, and growth in voice control–based smart speakers.
Market for microphones to hold a larger share of the far-field speech and voice recognition market throughout the forecast period.
Far-field speech and voice recognition systems use multiple microphones in form of a linear or circular array to reduce the impact of noise and reverberation from the surrounding environment. In recent years, the development of deep-learning-based trainable algorithm for far-field microphones has greatly reduced the limitation of signal distortion and loss of information. Microphones with machine learning, neural networks, and beamforming have improved the front-end voice processing. Smart speaker from Google has been at the forefront in deploying deep learning-based microphones in their device. By the use of deep learning-based microphone, Google had reduced the number of microphone in their smart speaker to two microphones per device, whereas their arch-rival Amazon is using 7 microphones in a single smart speaker.
Smart Speaker is expected to be the largest contributor in applications of the far-field speech and voice recognition market during the forecast period
The smart speaker application segment accounted for a majority of the far-field speech and voice recognition market in 2018. The proliferation of virtual assistance–integrated smart speaker in North America and Europe has contributed to a higher share of the smart speaker vertical over the past years. Moreover, the evolving market for smart speakers among middle-class consumers in developing countries is expected to offer significant growth opportunity for the market in the smart speaker application segment. For instance, in 2018, Amazon sold more than 100 million devices with its Alexa smart assistant.
Americas is likely to continue to hold the largest market share during the forecast period
The penetration of smart home applications, such as smart speakers, in North America, especially in the US, is high owing to the presence of early adopters and key smart speaker providers. The willingness of customers to accept and use new technologies has also encouraged manufacturers in to develop new and advanced products. Key players, such as Amazon, Google, Apple, and Bose, offering smart speakers are based in the US, leveraging their huge customer base and neural networks to leverage the far-field speech and voice recognition capabilities with their smart speaker products in this region. Additionally, the penetration of smart devices in the region is also fueling the demand for the far-field speech and voice recognition market.
Key Market Players
Synaptics (US), Texas Instruments (US), Qualcomm (US), Sensory (US), STMicroelectronics (Switzerland), Harman (US), Andrea Electronics (US), Cirrus Logic (US), Microsemi (US), DSP Group (US),and Knowles (US) are a few major players in the speech and voice recognition market.
Qualcomm is involved in introducing new products and services for voice and data communications. For example, Qualcomm delivers a fully integrated far-field smart audio reference platform for the Amazon Alexa voice service. The Qualcomm Smart Audio Platform includes 6-microphone far-field voice and supports the development of networked audio devices and premium smart speakers that have Alexa built-in. The kit includes Qualcomm’s Snapdragon APQ8017 applications processor with integrated quad-core ARM Cortex-A53 processor platform, Hexagon DSP, and Wi-Fi+ Bluetooth connectivity. The platform’s voice software also integrates echo-cancellation, noise suppression, and “barge-in” capability, supporting a reliable voice interface in loud or noisy environments even when users are far from smart speakers. Qualcomm’s robust R&D capabilities have contributed to developing a strong patent portfolio. It is also investing in developing other significant technologies used in cellular and certain consumer electronic devices and networks such as audio coding, including EVS (enhanced voice services).
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|
Report Metric |
Details |
|
Market size available for years |
2016–2024 |
|
Base year considered |
2017 |
|
Forecast period |
2018–2024 |
|
Forecast units |
Value (USD) in million/ billion |
|
Segments covered |
Component, Application, Microphone Solution, and Geography |
|
Geographies covered |
Americas, APAC, Europe, and RoW |
|
Companies covered |
Synaptics (US), Texas Instruments (US), Qualcomm (US), Sensory (US), STMicroelectronics (Switzerland), Harman (US), Andrea Electronics (US), Cirrus Logic (US), Microsemi (US), and DSP Group (US) |
Far-Filed Speech and Voice Recognition Market Segmentation:
The global far-field speech and voice recognition market, in this research report, has been segmented on the basis of component, application, microphone solution, and geography.
Far-Filed Speech and Voice Recognition Market, by Component:
- Microphones
- DSP/Processors
- Software
Far-Filed Speech and Voice Recognition Market, by Application:
- Smart TV/STB
- Smart Speakers
- Automotive
- Robotics
- Others (Smart Light, Smart Thermostats, Smart Vacuum Cleaners, Smart Fridge, and Smart Washing Machines)
Far-Filed Speech and Voice Recognition Market, by Microphone Solution:
- Single Microphone
- Linear Microphone
- Circular Microphone
Far-Filed Speech and Voice Recognition Market, by Region:
- The Americas
- Europe
- APAC
- RoW
Recent Developments
- Texas Instruments (TI) announced the integration of Amazon FreeRTOS into the SimpleLink microcontroller (MCU) platform, enabling developers to quickly and securely connect Internet of Things (IoT) endpoints to the cloud. Amazon Web Services (AWS) has worked with TI in the development of an integrated hardware and software solution that enables developers to quickly establish a connection to AWS IoT service out-of-the-box and immediately begin system development.
- STMicroelectronics N.V., DSP Group Inc. (US), and Sensory Inc. (US) launched a power-efficient, voice-detecting, voice-processing microphone. The product offers keyword-recognition capabilities in a compact package leveraging the advanced packaging technology of STMicroelectronics N.V.
- Harman collaborated with Conexant Systems (US), an audio and voice technology provider. This collaboration is aimed to deliver end-to-end voice and audio solutions for the manufacturers of voice-enabled devices. The collaboration allows Harman to use voice processing technologies of Conexant to offer improved user experience through voice recognition systems for automotive.
Critical questions the report answers:
- Where will all the developments take the industry in the mid to long term?
- What are the different components that are expected to drive the market?
- What are the key strategies adopted by leading companies in the market?
- What are the trends prevalent in the far-field speech and voice recognition market?
- What will be the penetration rate of far-field speech and voice recognition in smart speaker applications?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 15)
1.1 Objectives of the Study
1.2 Definition
1.3 Scope of the Study
1.3.1 Markets Covered
1.3.2 Geographic Scope
1.3.3 Years Considered for the Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders
2 Research Methodology (Page No. - 19)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Executive Summary (Page No. - 27)
4 Premium Insights (Page No. - 33)
4.1 Attractive Opportunities in Far-Field Speech and Voice Recognition Market
4.2 Market, By Application (Million Units)
4.3 Market, By Component (USD Million)
4.4 Far-Field Speech and Voice Recognition, By Microphone Solution (Million Units)
4.5 Market (USD Million)
4.6 Market, By Geography (USD Million)
5 Market Overview (Page No. - 37)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Impact of Front-End Hardware Components on the Accuracy of Speech and Voice Recognition
5.2.1.2 Growth in Voice Control–Based Smart Speakers
5.2.1.3 Technical Advancement of Deep-Learning-Based Far-Field Microphones
5.2.2 Restraints
5.2.2.1 Growing Privacy Threat From Voice Enabled Smart Home Devices
5.2.2.2 Lack of Accuracy in Far-Field Speech and Voice Recognition Systems in Noisy and Harsh Environments
5.2.3 Opportunities
5.2.3.1 Deployment of Far-Field Speech and Voice Recognition in Smart Home Devices
5.2.3.2 Application of Speech and Voice Recognition in Service Robotics
5.2.4 Challenges
5.2.4.1 Lack of Standardization and Power Issues
6 Market, By Component (Page No. - 43)
6.1 Introduction
6.2 Microphones
6.2.1 Microphones is Expected to Account for the Largest Market Size Throughout the Forecast Period
6.3 Digital Signal Processors (DSP)
6.3.1 DSP Improves the Accuracy and Reliability in the Field of Digital Communication By Reducing Noise and Distortion With the Help of Relevant Signal Processing Techniques and Algorithms
6.4 Software
6.4.1 Software Segment is Expected to Witness Highest Growth During the Forecast Period
7 Market, By Microphone Solution (Page No. - 51)
7.1 Introduction
7.2 Single Microphone
7.2.1 Smart Cameras, Smart Fridge, and Smart Light are Some of the Major Applications for Single Microphones
7.3 Linear Arrays
7.3.1 Linear Arrays Expected to Hold the Largest Size of Market During the Forecast Period
7.4 Circular Arrays
7.4.1 Circular Arrays Offer A 360-Degree Coverage for the Angle of Arrival of the Speaker.
8 Far-Filed Speech and Voice Recognition, By Application (Page No. - 56)
8.1 Introduction
8.2 Automotive
8.2.1 With Integrated Far-Field Speech and Voice Recognition, Automotive Oems are Also Able to Provide Customizable Infotainment Systems With Smart Integration of Context, History, and Driver Preferences
8.3 Smart TV/STB
8.3.1 Chinese Smart TV Manufacturers are the Early Movers in This Smart TV/STB Application of Far-Field Speech and Voice Recognition.
8.4 Smart Speakers
8.4.1 Increasing Need to Enhance Consumer Convenience is Fueling the Demand for Far-Field Based Smart Speakers, Especially in Smart Homes.
8.5 Robotics
8.5.1 Seamless Two-Way Communications Between Human Beings and Robots are Expected to Be the Next Major Revolution in the Coming Few Years.
8.6 Others
9 Market, By Geography (Page No. - 72)
9.1 Introduction
9.2 North America
9.2.1 US
9.2.1.1 High Adoption of Smart Devices With Advanced Technologies Such as IoT and AI Drives the Market for Market in the Us
9.2.2 Canada
9.2.2.1 Continuous Research on Nlp and Machine Learning Across Research Institutions and Universities in Canada are Expected to Drive the Growth of the Market
9.2.3 Mexico
9.2.3.1 Increasing Market for Electronic and Automotive Application Provides Opportunities for the Growth of the Market
9.3 Europe
9.3.1 UK
9.3.1.1 Growing Demand for In-Vehicle Connectivity is Propelling the Market for Far-Field Speech and Voice Recognition.
9.3.2 Germany
9.3.2.1 Greater Dependence on AI and Cognitive Technologies in Enterprises
9.3.3 France
9.3.3.1 Increasing Demand for Smart Audio Products for Home Entertainment Applications
9.3.4 Italy
9.3.4.1 Increasing Demand for Enhancing Driving Experience, and Comfort and Convenience in Luxury Vehicles are Driving the Growth of the Market
9.3.5 Rest of Europe
9.3.5.1 Strong Sales Figures for Smart Devices are Expected to Generate Demand for Smart Home Devices
9.4 APAC
9.4.1 Japan
9.4.1.1 Consumer Electronics, Finance, and Healthcare are Some of the Major Applications Driving the Growth of the Speech and Voice Recognition Industry
9.4.2 China
9.4.2.1 Demand for Smart Devices Enabled With AI is Expected to Be the Major Driver for the Industry.
9.4.3 South Korea
9.4.3.1 Rising Technological Advancements and Tech-Savvy Population, are Expected to Drive the Market in the Country in the Coming Years.
9.4.4 Rest of APAC
9.4.4.1 Increasing Internet Penetration, Growing Use of Smartphones, and Increasing Consumer Spending Power Will Likely Drive Market
9.5 RoW
9.5.1 South America
9.5.1.1 Smart Home and Consumer Applications Will Propel the Market in South America
9.5.2 Middle East & Africa
9.5.2.1 The Market for Smart Home and Automotive Applications is Expected to Witness Growth in Saudi Arabia in the Coming Years
10 Competitive Landscape (Page No. - 94)
10.1 Introduction
10.2 Market Ranking Analysis: Far-Field Speech & Voice Recognition Market
10.3 Competitive Situations and Trends
10.3.1 Product Launches and Developments
10.3.2 Partnerships and Collaborations
10.3.3 Acquisitions
10.4 Competitive Leadership Mapping
10.4.1 Visionary Leaders
10.4.2 Dynamic Differentiators
10.4.3 Innovators
10.4.4 Emerging Companies
10.5 Strength of Product Portfolio
10.6 Business Strategy Excellence
11 Company Profiles (Page No. - 102)
(Business overview, Products offered, Recent developments, MNM view, SWOT analysis)*
11.1 Key Players
11.1.1 Synaptics
11.1.2 Texas Instruments
11.1.3 Andrea Electronics
11.1.4 Cirrus Logic
11.1.5 Microsemi
11.1.6 DSP Group
11.1.7 Qualcomm
11.1.8 Sensory
11.1.9 Stmicroelectronics
11.1.10 Harman
11.2 Other Companies
11.2.1 Meeami Technologies
11.2.2 Alango
11.2.3 XMOS
11.2.4 Mightyworks
11.2.5 Matrix Labs
11.2.6 Fortemedia
11.2.7 Retune-DSP
11.2.8 Knowles
11.2.9 Vocal Technologies
11.2.10 Vesper Technologies
*Business overview, Products offered, Recent developments, MNM view, SWOT analysis might not be captured in case of unlisted companies.
12 Appendix (Page No. - 133)
12.1 Insights of Industry Experts
12.2 Discussion Guide
12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
12.4 Available Customizations
12.5 Related Reports
12.6 Author Details
List of Tables (63 Tables)
Table 1 Market, By Component, 2016– 2024 (Million Units)
Table 2 Market, By Component, 2016–2024 (USD Million)
Table 3 Microphones Far-Field Speech and Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 4 Microphone Far-Field Speech and Voice Recognition Market, By Application, 2016–2024 (USD Million)
Table 5 DSP/Processors Far-Field Speech and Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 6 DSP/Processors Far-Field Speech and Voice Recognition Market, By Application, 2016–2024 (USD Million)
Table 7 Software Far-Field Speech and Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 8 Software Far-Field Speech & Voice Recognition Market, By Application, 2016–2024 (USD Million)
Table 9 Market, By Microphone Solution, 2016–2024 (Million Units)
Table 10 Market, By Microphone Solution, 2016–2024 (USD Million)
Table 11 Market for Single Microphone Market, By Region, 2016–2024 (Million Units)
Table 12 Market for Linear Microphone Market, By Region, 2016–2024 (USD Million)
Table 13 Market for Circular Microphone Market, By Region, 2016–2024 (USD Million)
Table 14 Market, By Application, 2016–2024 (Million Units)
Table 15 Market, By Application, 2016–2024 (USD Million)
Table 16 Automotive Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (Million Units)
Table 17 Automotive Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (USD Million)
Table 18 Automotive Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (Million Units)
Table 19 Automotive Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 20 Smart TV/STB Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (Million Units)
Table 21 Smart TV/STB Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (USD Million)
Table 22 Smart TV/STB Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (Million Units)
Table 23 Smart TV/STB Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 24 Smart Speaker Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (Million Units)
Table 25 Smart Speaker Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (USD Million)
Table 26 Smart Speaker Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (Million Units)
Table 27 Smart Speaker Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 28 Robotics Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (Million Units)
Table 29 Robotics Far-Field Speech & Voice Recognition Market, By Component, 2016–2024 (USD Million)
Table 30 Robotics Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (Million Units)
Table 31 Robotics Far-Field Speech & Voice Recognition Market, By Region, 2016–2024 (USD Million)
Table 32 Other Market, By Component, 2016–2024 (Million Units)
Table 33 Other Market, By Component, 2016–2024 (USD Million)
Table 34 Others Market, By Region, 2016–2024 (Million Units)
Table 35 Others Market, By Region, 2016–2024 (USD Million)
Table 36 Market, By Region, 2016–2024 (USD Million)
Table 37 Market in North America, By Country, 2016–2024 (USD Million)
Table 38 Market in North America, By Application, 2016–2024 (USD Million)
Table 39 Market in North America, By Application, 2016–2024 (Million Units)
Table 40 Market in North America, By Microphone Solution, 2016–2024 (USD Million)
Table 41 Market in North America, By Component, 2016–2024 (Million Units)
Table 42 Market in North America, By Component, 2016–2024 (USD Million)
Table 43 Market in Europe, By Country, 2016–2024 (USD Million)
Table 44 Market in Europe, By Application, 2016–2024 (USD Million)
Table 45 Market in Europe, By Application, 2016–2024 (Million Units)
Table 46 Market in Europe, By Microphone Solution, 2016–2024 (USD Million)
Table 47 Market in Europe, By Component, 2016–2024 (Million Units)
Table 48 Market in Europe, By Component, 2016–2024 (USD Million)
Table 49 Market in APAC, By Country, 2016–2024 (USD Million)
Table 50 Market in APAC, By Application, 2016–2024 (USD Million)
Table 51 Market in APAC, By Application, 2016–2024 (Million Units)
Table 52 Market in APAC, By Microphone Type, 2016–2024 (USD Million)
Table 53 Market in APAC, By Component, 2016–2024 (Million Units)
Table 54 Market in APAC, By Component, 2016–2024 (USD Million)
Table 55 Market in RoW, By Country, 2016–2024 (USD Million)
Table 56 Market in RoW, By Application, 2016–2024 (USD Million)
Table 57 Market in RoW, By Application, 2016–2024 (Million Units)
Table 58 Market in RoW, By Microphone Solution, 2016–2024 (USD Million)
Table 59 Market in RoW, By Component, 2016–2024 (Million Units)
Table 60 Market in RoW, By Component, 2016–2024 (USD Million)
Table 61 Product Launches and Developments (2016–2018)
Table 62 Partnerships and Collaborations (2015–2018)
Table 63 Acquisitions, 2017
List of Figures (42 Figures)
Figure 1 Market: Process Flow of Market Size Estimation
Figure 2 Market: Research Design
Figure 3 Data Triangulation Methodology
Figure 4 Market Growth in Terms of Value and Volume (2016–2024)
Figure 5 Microphones to Hold Larger Share of Market During Forecast Period
Figure 6 Smart Speakers to Hold the Largest Size of the Market, in Terms of Value, During the Forecast Period
Figure 7 Linear Arrays Expected to Account for the Largest Market Size During the Forecast Period
Figure 8 Market in North America to Hold the Largest Share in 2017
Figure 9 Market in RoW to Grow at the Highest CAGR From 2018 to 2024
Figure 10 Smart Speaker to Hold the Largest Size of Market During Forecast Period
Figure 11 Microphones to Hold the Largest Size of Market During the Forecast Period
Figure 12 Linear Arrays to Hold Largest Share of Market in 2024
Figure 13 US to Hold Largest Share of Market in North America in 2018
Figure 14 Market in the Middle East & Africa to Grow at the Highest CAGR During the Forecast Period
Figure 15 Growing Impact of Front-End Hardware Components on the Accuracy of Speech and Voice Recognition Driving the Market
Figure 16 Amazon’s Alexa Skill Set Increased Around 6 Times in A Span of 4 Months
Figure 17 Far-Field Speech and Voice Recognition System Architecture
Figure 18 North America to Account for Largest Size of Far-Field Speech and Voice Recognition for Microphones Market By 2024
Figure 19 Smart Speaker Market to Hold Largest Size of Market for DSP/ Processors During the Forecast Period
Figure 20 Software Market, By Region, 2016–2024 (USD Million)
Figure 21 Single Microphone Expected to Witness Highest CAGR Between 2018 and 2024
Figure 22 RoW Expected to Grow at Highest CAGR for Linear Microphone Solution Market During the Forecast Period
Figure 23 Microphones Expected to Witness Higher CAGR for Automotive Far-Field Speech & Voice Recognition Market Between 2018 and 2024
Figure 24 APAC Expected to Hold the Largest Size of Smart TV/STB Far-Field Speech & Voice Recognition Market
Figure 25 Smart Speaker Far-Field Speech and Voice Recognition Market, By Component (USD Million)
Figure 26 Software Expected to Witness the Highest Growth of Robotics Far Far-Field Speech and Voice Recognition Market During the Forecast Period
Figure 27 North America to Hold the Largest Size of Others Far-Field Speech & Voice Recognition Market in 2018
Figure 28 Geographic Snapshot: Far-Field Speech & Voice Recognition Market in RoW Expected to Grow at the Highest CAGR During the Forecast Period
Figure 29 North America: Far-Field Speech & Voice Recognition Market Snapshot
Figure 30 Europe: Far-Field Speech & Voice Recognition Market Snapshot
Figure 31 APAC: Far-Field Speech & Voice Recognition Market Snapshot
Figure 32 Key Growth Strategies Adopted By Top Companies, 2015–2018
Figure 33 Market Ranking of the Top 5 Players in the Far-Field Speech & Voice Recognition Market, 2017
Figure 34 Market (Global) Competitive Leadership Mapping, 2017
Figure 35 Synaptics: Company Snapshot
Figure 36 Texas Instruments: Company Snapshots
Figure 37 Andrea Electronics: Company Snapshot
Figure 38 Cirrus Logic: Company Snapshot
Figure 39 Microsemi: Company Snapshot
Figure 40 DSP Group: Company Snapshot
Figure 41 Qualcomm: Company Snapshot
Figure 42 Stmicroelectronics: Company Snapshot
The study involved 4 major activities for estimating the current market size of the far-field speech and voice recognition market. An exhaustive secondary research was done to collect information on the market, as well as its peer and parent markets. The next step was validating these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the overall market size. Thereafter, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources have been referred to for identifying and collecting information important for this study. These secondary sources include Institute of Electrical and Electronics Engineers, International Conference on Acoustics, Speech, and Signal Processing, Journals, press releases, and financials of companies; white papers; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
In the primary research process, various primary sources from both supply and demand sides have been interviewed to obtain qualitative and quantitative information important for this report. Primary sources from the supply side include industry experts such as CEOs, VPs, marketing directors, technology and innovation directors, and related executives from key companies and organizations operating in the far-field speech and voice recognition market. After complete market engineering (including calculations regarding market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research has been conducted to gather information, as well as verify and validate the critical numbers arrived at.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
In the complete market engineering process, both top-down and bottom-up approaches have been implemented, along with several data triangulation methods, to estimate and validate the size of the far-field speech and voice recognition market and other dependent submarkets listed in this report.
- Key players in the industry and markets have been identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size from the estimation process explained above, the overall market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at exact statistics for all segments and subsegments, market breakdown and data triangulation procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends identified from both demand and supply sides, in different verticals. Along with this, the market size has been validated using both top-down and bottom-up approaches.
The following are the major objectives of the study.
- To define, describe, and forecast the far-field speech and voice recognition market, in terms of value and volume, segmented on the basis of components, microphone solutions, applications, and geography
- To forecast the market size, in terms of value and volume, for various segments with respect to 4 main regions, namely, North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
- To provide detailed information and analysis of major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
- To strategically analyze the micromarkets1 with respect to individual growth trends, prospects, and contributions to the overall market
- To provide a detailed overview of the value chain of the ecosystem of the far-field speech and voice recognition market
- To analyze opportunities in the market for stakeholders by identifying high-growth segments of the far-field speech and voice recognition market
- To strategically profile key players and comprehensively analyze their market positions in terms of ranking and core competencies,2 along with detailing the competitive landscape for market leaders
- To analyze growth strategies such as product launches and developments, acquisitions, expansions, and agreements adopted by major players in the far-field speech and voice recognition market
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company's specific needs. The following customization options are available for this report:
- Market size for 2021 and 2023 for component, application, microphone solution, and geography
- Detailed analysis and profiling of additional market players (up to 5)
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
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Growth opportunities and latent adjacency in Far-Field Speech and Voice Recognition Market
Does this report provide application wise product analysis for Indian market
I would like to understand the automotive application market for innovative technologies in this space
I would like to understand the market trends in far field voice recognition market
Software play a significant role in ensuring the interoperability and compatibility, I would like to understand whether this report include different types of software used in far field voce recognition and the market sizing for the same?
Interested on finding out market potential per technology is present in the robotics market.