Voice Recognition For Smartphones Market Analysis US - US - Size and Forecast 2024-2028

US Voice Recognition For Smartphones Market Size 2024-2028

The US voice recognition for smartphones market size is forecast to increase by USD 155.1 million at a CAGR of 13.64% between 2023 and 2028.

• The voice recognition market for smartphones In the US is witnessing significant growth due to the increasing adoption of technologically advanced mobile devices and the growing use of artificial intelligence (AI) integrated with voice speech recognition. This trend is driven by the convenience and ease of use that voice recognition offers to users, enabling them to perform various tasks hands-free. However, the lack of a skilled workforce to develop and implement voice recognition technology remains a challenge for market growth. As AI continues to advance and become more sophisticated, it is expected that voice recognition technology will become even more integrated into our daily lives, further fueling market demand.
• This market analysis report provides an in-depth examination of the key trends, growth drivers, and challenges shaping the voice recognition market for smartphones In the US.

What will be the size of the US Voice Recognition For Smartphones Market during the forecast period?

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• The voice recognition market for electronic devices, including smartphones and IoT devices, has experienced significant growth in recent years. Voice-activated biometrics, such as voice biometrics and client-based speech recognition, have revolutionized user experience in various applications, from voicemail and voicedriven navigation systems to workstations and in-car infotainment systems. The healthcare sector has also embraced voice recognition technology, enabling efficient access to electronic health records and streamlining transactions. The market dynamics are influenced by mergers and transactions, with major players like Google LLC and their Android Auto platform driving adoption. Open-source software and AI-based technology, including natural language processing and machine learning, have advanced voice recognition capabilities.
• Regulations and privacy concerns are key challenges, particularly in healthcare and automobiles. Voice recognition technology is expanding beyond mobile phones and virtual reality, with applications in various industries, including healthcare and automobiles. The cloud and ML are crucial components, enabling continuous learning and improving accuracy and user experience. The future of voice recognition lies In the seamless integration of voice biometrics and AI-based technology, providing more personalized and intuitive interactions.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

• Technology
  • Automatic speech recognition
  • Text-to-speech
• Deployment
  • Cloud-based
  • Embedded
• Geography
  • US

By Technology Insights

• The automatic speech recognition segment is estimated to witness significant growth during the forecast period.

Speech recognition technology, a subset of automatic speech processing, is gaining significant traction in various industries, particularly In the US market. Advanced voice recognition systems, such as those based on Natural Language Processing (NLP), are revolutionizing human-computer interaction. These systems enable users to communicate with electronic devices, including voice-activated biometrics, voice biometrics, Voicedriven navigation systems, workstations, in-car infotainment systems, and IoT devices, using natural language. Leading technology companies, such as Google LLC, Microsoft, and Amazon, are investing heavily in AI-based technology, ML, and Natural Language Processing to enhance their digital assistant offerings, including Google's RankBrain, Cortana, Alexa voice services, and Yellow Messenger.

The healthcare sector is also adopting speech recognition technology for Electronic Health Records (EHRs) in radiology, pathology, and emergency medicine. The integration of speech recognition technology in automobiles, smartphones, and Virtual Reality systems is further expanding its reach. Cloud technology and open-source software are also facilitating the adoption of speech recognition technology among SMEs in IT, telecommunications, legal, ecommerce, entertainment, and other industries.

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The Automatic speech recognition segment was valued at USD 62.10 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of US Voice Recognition For Smartphones Market?

Increasing adoption of technologically advanced mobile devices is the key driver of the market.

• The Voice Recognition for Smartphones market In the US has witnessed significant growth due to the increasing use of electronic devices, particularly mobile phones, for personal and professional applications. Voice-activated biometrics, such as voice biometrics and pattern recognition, have gained popularity as they offer a more convenient and efficient way to interact with devices. Voicedriven navigation systems, AI-based technology, and ML-powered digital assistants like Cortana, Alexa, and Google's RankBrain have become essential features in IoT devices, workstations, in-car infotainment systems, and Electronic Health Record (EHR) systems. The healthcare sector, including radiology, pathology, and emergency medicine, has adopted voice recognition technology to streamline processes and improve patient care.
• In the automotive industry, voice recognition technology is used in automated speech recognition systems, enabling hands-free control of in-car infotainment and navigation systems. Cloud technology and open-source software have made voice recognition technology more accessible to SMEs in various industries, including IT, telecommunications, legal, ecommerce, entertainment, and education. Companies like Google LLC, Microsoft, LumenVox, and Speechmatics are leading the voice recognition market with innovative solutions and advanced AI and NLP capabilities. The market is expected to continue growing as voice recognition technology becomes increasingly integrated into various applications and industries.

What are the market trends shaping the US Voice Recognition For Smartphones Market?

Growing use of AI integrated with voice speech recognition is the upcoming trend In the market.

• The voice recognition market for electronic devices, including smartphones In the US, is experiencing significant growth due to the integration of advanced AI technologies. AI-based voice recognition systems utilize machine learning algorithms for pattern recognition and natural language processing, enabling efficient analysis of voice and speech data. This technology is increasingly being adopted in various industries such as healthcare, automobiles, IoT devices, and telecommunications. In healthcare, voice recognition is used for voice-activated biometrics in Electronic Health Record (EHR) systems, enhancing the efficiency of medical diagnosis and treatment in fields like radiology, pathology, and emergency medicine. In the automotive sector, voice recognition technology is integrated into in-car infotainment systems, enabling voicedriven navigation and hands-free control of various functions.
• Additionally, voice recognition is being used in virtual reality and digital assistant applications, such as Cortana and Alexa voice services. The use of cloud technology and open-source software, like Google's RankBrain and AWS, further enhances the capabilities of voice recognition systems. SMEs in sectors like IT, legal, ecommerce, entertainment, and education are also adopting voice recognition technology to streamline their operations and improve customer experience. The integration of voice recognition with AI and machine learning is expected to continue driving the growth of this market In the US.

What challenges does US Voice Recognition For Smartphones Market face during the growth?

Lack of skilled workforce is a key challenge affecting the market growth.

• The voice recognition market for electronic devices, including smartphones In the US, is experiencing significant growth due to the integration of voice-activated biometrics and voice biometrics in various applications. Voice recognition technology is being utilized in voicedriven navigation systems, in-car infotainment systems, electronic health record systems, IoT devices, and more. The healthcare sector, in particular, is embracing voice recognition technology for tasks such as dictation in radiology, pathology, and emergency medicine. However, the market faces challenges, including the need for a skilled workforce to analyze voice and speech data using advanced analytics software platforms like machine learning (ML), natural language processing (NLP), and pattern recognition.
• The lack of a workforce with expertise in voice and speech phenomena and analytics software is estimated to hamper market growth. Voice recognition technology is also being used in virtual reality and automotive technologies. Companies like Google LLC, Microsoft, and Amazon's Alexa voice services are leading the way in voice recognition technology development. Open-source software and cloud technology are also playing a significant role In the market's growth. The market dynamics are influenced by regulations, mergers and transactions, and the increasing adoption of voice recognition technology in various industries such as SMEs, IT, telecommunications, legal, ecommerce, entertainment, and more.
• The future of voice recognition technology lies in AI-based technology, Meta, LumenVox, Speechmatics Voice report, and AWS's voice services. The market is expected to continue its growth trajectory, driven by the increasing demand for hands-free and voice-activated technologies.

Exclusive US Voice Recognition For Smartphones Market Customer Landscape

The market forecasting 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 market growth analysis strategies.

Customer Landscape

Key Companies & Market Insights

Companies are implementing various strategies, such as strategic alliances, market forecast partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence In the market.

The market research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:

• 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.
• Verizon Communications Inc.

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.

Research Analyst Overview

Voice recognition technology has emerged as a significant trend In the electronic devices market, with voice-activated biometrics gaining popularity among consumers in various applications. This technology allows users to interact with their devices using natural language, making tasks more convenient and efficient. Voice biometrics is a subset of voice recognition technology that uses an individual's unique voiceprint for identification and authentication purposes. This technology has gained traction in various industries, including healthcare, automotive, and telecommunications, where security and convenience are paramount. Voice-driven navigation systems and virtual assistants have become common features in workstations, in-car infotainment systems, and smartphones.

These applications enable users to perform tasks such as sending messages, making calls, and setting reminders using voice commands. The integration of voice recognition technology in electronic health records (EHR) systems has streamlined clinical workflows and improved patient care. The Internet of Things (IoT) devices market has also witnessed the adoption of voice recognition technology, enabling users to control various smart home appliances using voice commands. Machine learning (ML) and natural language processing (NLP) algorithms have played a crucial role In the advancement of voice recognition technology, allowing devices to understand and respond to complex queries. The automotive industry has been an early adopter of voice recognition technology, with automakers integrating voice-activated systems In their vehicles to provide a more convenient and safer driving experience.

Open-source software and AI-based technology have facilitated the development of digital assistants such as Cortana, Alexa, and Google's RankBrain, which have become popular among consumers. The voice recognition market is expected to grow further as more industries adopt this technology to enhance user experience and streamline processes. However, regulations and privacy concerns may pose challenges to the widespread adoption of voice recognition technology, particularly in sensitive applications such as healthcare and finance. In conclusion, voice recognition technology is transforming the way users interact with electronic devices, from smartphones to workstations and IoT devices. The integration of ML, NLP, and AI-based technology has enabled the development of sophisticated voice recognition applications, offering numerous benefits to consumers and businesses alike.

However, regulations and privacy concerns may pose challenges to the widespread adoption of this technology in certain industries.

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What are the Key Data Covered in this Market Research Report?

• CAGR of the market during the forecast period
• Detailed information on factors that will drive the market growth and forecasting between 2024 and 2028
• Precise estimation of the size of the market and its contribution of the market in focus to the parent market
• Accurate predictions about upcoming market growth and trends and changes in consumer behaviour
• Growth of the market across US
• Thorough analysis of the market's competitive landscape and detailed information about companies
• Comprehensive analysis of factors that will challenge the growth of market companies

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