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The US - voice recognition market for smartphones is estimated to grow at a CAGR of 12.47% between 2022 and 2027. The market size is forecast to increase by USD 124.36 million. The growth of the market depends on several factors, including the increasing adoption of technologically advanced mobile devices, the increasing demand for voice-driven navigation systems and workstations, and the growing use of voice biometrics. Voice or speaker recognition is the ability of a machine or program to receive and interpret dictation or to understand and perform spoken commands.
This US voice recognition market for smartphones report extensively covers market segmentation by technology (automatic speech recognition and text-to-speech), and deployment (cloud-based and embedded). It also includes an in-depth analysis of drivers, trends, and challenges. Furthermore, the report includes historic market data from 2017 to 2021.
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Increasing adoption of technologically advanced mobile devices is the key factor driving the growth of the market. Mobile subscriptions have grown rapidly across the globe, and end users have opted for technologically advanced mobile devices for their personal and business use. The remarkable growth in the global smartphone industry is leading to an upsurge in the number of mobile voice recognition users. The remarkable growth in the global smartphone industry is leading to a proliferation in the number of mobile voice recognition users.
Moreover, mobile voice assistant app developers need managed services such as backend solutions (BaaS) and web-integrated development environments to develop mobile speech recognition software creative motion. The growth in the number of connected devices worldwide is a major driver of demand for speech recognition software. Therefore, the increasing adoption of mobile devices is expected to further accelerate the growth of the market during the forecast period.
The growing use of AI integrated with voice speech recognition is the primary trend in the market.
Through AI-based categorization of voice and speech data, words, acoustics, and sentiments can be analyzed automatically and efficiently as well as hidden opinions and emotions can be derived. This enhances the analysis of the data. Voice and speech data are considered unstructured, which needs categorization as without it, data cannot be analyzed.
Moreover, an AI-integrated analytics platform will optimize the pattern recognition process based on words, language, and tone of voice within a huge volume of voice and speech data. Such comprehensive data categorization is expected to derive critical insights proactively and in real-time, especially in the customer management domain. Hence, AI integrated with voice speech recognition is considered a positive trend that is influencing the voice recognition market for smartphones in the US during the forecast period.
The lack of a skilled workforce is a challenge that affects the growth of the market. Speech and voice analysis is a complicated technological process. This requires a highly skilled workforce with an integrated knowledge of speech and speech phenomena, as well as expertise in handling advanced analytical software platforms. Lack of manpower with such specific skills is said to be hindering the growth of the market.
Furthermore, businesses cannot effectively use speech recognition software without access to the right resources with practical knowledge of speech and voice analytics. This is a major challenge for end users and is expected to hinder the growth of the market during the forecast period.
The market share growth by the automatic speech recognition segment will be significant during the forecast period. Automatic speech recognition (ASR) is a technology that allows people to use their voice to communicate with a computer interface. In its multiple advanced variations, ASR can simulate real human conversation. The most advanced version of ASR technology currently in use focuses on what is known as natural language processing (NLP).
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The automatic speech recognition segment showed a gradual increase in the market share of USD 57.01 million in 2017. The increasing and easier demand for voice recognition is encouraging market players to introduce advanced speech recognition software. For example, in December 2022, LumenVox GmbH launched its next-generation ASR engine with transcription. The rising automation of speech recognition and the increasing number of smartphone users are likely to drive the growth of the automatic speech recognition segment in the US - voice recognition market for smartphones during the forecast period.
Cloud technology facilitates the transfer of data between different services. In this network, data can be collected, stored, and tagged for a variety of purposes. The cloud-based implementation reduces hardware requirements, thereby reducing the operating costs of voice recognition for smartphones. For example, in October 2022, Toyota and Google Cloud expanded their partnership to include next-generation multimedia audio systems from Toyota and Lexus as well as Google's AI-powered voice services. Thus, such initiatives are anticipated to drive the growth of the cloud deployment segment in the market during the forecast period.
The US Voice Recognition Market for Smartphones report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.
US Voice Recognition Market for Smartphones Customer Landscape
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
The research report also includes detailed analyses of the competitive landscape of the market and information about 20 market companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The US voice recognition market for smartphones report forecasts market growth by revenue and provides an analysis of the latest trends and growth opportunities from 2017 to 2027.
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US Voice Recognition Market For Smartphones Scope |
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Report Coverage |
Details |
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Page number |
126 |
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Base year |
2022 |
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Historic period |
2017-2021 |
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Forecast period |
2023-2027 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 12.47% |
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Market growth 2023-2027 |
USD 124.36 million |
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Market structure |
Fragmented |
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YoY growth 2022-2023(%) |
11.4 |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Key companies profiled |
3M Co., Advanced Voice Recognition Systems Inc., Alphabet Inc., Amazon.com Inc., Apple Inc., AT and T Inc., Aware Inc., Baidu Inc., International Business Machines Corp., Koninklijke Philips N.V., LumenVox GmbH, M2SYS, Microsoft Corp., Qualcomm Inc., Rev.com Inc., Samsung Electronics Co. Ltd., Sensory Inc., Sonix Inc., Summa Linguae Technologies S.A., and Verizon Communications Inc. |
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Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and Market condition analysis for the forecast period. |
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Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
We can help! Our analysts can customize this market research report to meet your requirements.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Technology
7 Market Segmentation by Deployment
8 Customer Landscape
9 Drivers, Challenges, and Trends
10 Vendor Landscape
11 Vendor Analysis
12 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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