In May 2022, a total 27.4 percent of consumers in the United States reported using smart assistants such as Alexa to make online purchases. Ten percent of these consumers were making online purchases with voice assistants on a weekly basis.

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Voice Commerce Market Size 2025-2029

The voice commerce market size is forecast to increase by USD 80.21 billion, at a CAGR of 22.7% between 2024 and 2029.

The market is experiencing significant growth, driven by key factors such as enhanced purchasing convenience and the rising adoption of voice-enabled devices. The use of voice technology for shopping offers consumers a more seamless and hands-free experience, making it an attractive option for many. However, data security and privacy concerns remain a challenge for the market, as consumers express apprehension about sharing sensitive information through voice commands. Addressing these concerns through strong security measures and transparent data handling practices will be crucial for the market's continued growth. Overall, the market holds immense potential for innovation and disruption in the retail sector.

What will be the Size of the Voice Commerce Market During the Forecast Period?

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The voice of the market is experiencing significant growth as consumers seek greater convenience and accessibility in their shopping experiences. This emerging trend allows users to interact with e-commerce platforms through voice assistance technology, enabling them to make purchases using smart speakers, virtual digital assistants, and other voice-enabled devices. voice commerce applications span various industries, including travel, hospitality, entertainment, personal care electronics, household supplies, and more.
This innovation is particularly beneficial for individuals with visual impairments, as it offers a time-saving alternative to traditional browsing and purchasing methods. The market is expected to continue expanding, with technological applications in personal care, electronics, household appliances, groceries, arts and crafts, and other sectors poised for significant growth. The market represents a promising avenue for businesses looking to enhance their customer experience and stay competitive in the rapidly evolving e-commerce landscape.

How is this Voice Commerce Industry segmented and which is the largest segment?

The voice commerce industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Personal care
  Electronics
  Household appliances
  Groceries
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By Application Insights

The personal care segment is estimated to witness significant growth during the forecast period. Voice commerce, a burgeoning sector in e-commerce, allows consumers to make purchases using voice commands through various technological applications. Convenience and accessibility are key benefits, enabling users to shop hands-free, saving time, and facilitating transactions on smart speakers, virtual digital assistants, smartphones, and other devices. This market includes e-commerce platforms, innovation hubs, and various industries such as travel, hospitality, entertainment, personal care electronics, household supplies, and more. Voice commerce caters to individuals with visual impairments and physical limitations, enhancing the shopping experience. However, concerns regarding security, data collection, and regulations, as well as trust issues and consumer awareness, may impact market growth. E-commerce infrastructure, digital payment systems, and logistics networks are essential components of this market, driving consumer spending despite economic uncertainty.

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The personal care segment was valued at USD 6.37 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 43% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Voice commerce, a technological application of artificial intelligence (AI) and voice assistance, is revolutionizing the shopping experience in the US and Canada. This market is primarily driven by the convenience and accessibility it offers to end-users. The e-commerce sector, including industries such as personal care, electronics, household supplies, and others, is leveraging it to enhance their customer experience and gain a competitive edge. Individual consumers, who are increasingly becoming tech-savvy, are adopting this innovative shopping m

A survey carried out in 2023 showed that nearly 18 percent of consumers from 11 countries used voice technology to purchase products at least weekly. Another 6.6 percent used voice assistants to shop on a daily basis.

A survey carried out in 2023 showed that roughly 30 percent of Gen Z consumers used voice assistants to shop from their homes. Millennials followed with 27.6 percent, while less than seven percent of Boomers purchased products via voice-based technology.

Global Voice Commerce Market reached US$ 108.33 billion in 2024 and is expected to reach US$ 586.3 billion by 2031

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Voice Controlled Devices Market 2024-2028

The voice controlled devices market size is estimated to grow at a CAGR of 23.07% between 2023 and 2028. The market size is forecast to increase by USD 10.51 billion. The growth of the market depends on several factors, including convenience and improved user experience, the rise in digital transformation initiatives, and the rising tendency to use smart controlled devices. A voice-controlled device is an electronic device that can respond to and execute commands that are given verbally. These devices utilize speech recognition technology to comprehend and interpret human speech, convert it into written language, and then carry out various tasks or activities in response to voice commands.

The report includes a comprehensive outlook on the Voice Controlled Devices Market, offering forecasts for the industry segmented by Component , which comprises hardware and software. Additionally, it categorizes Distribution Channel into offline and online, and covers Geography regions, including North America, APAC, Europe, South America, and Middle East and Africa. The report provides market size, historical data spanning from 2018 to 2022, and future projections, all presented in terms of value in USD billion for each of the mentioned segments.

What will be the size of the Voice Controlled Devices Market During the Forecast Period?

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Voice Controlled Devices Market Overview

Driver

Convenience and improved user experience is the key factor driving market growth. Voice-controlled devices provide users with the ability to interact with technology with ease, allowing them to carry out their daily activities conveniently and efficiently. Through voice control, users can execute commands without the need to navigate complicated environments or operate devices manually. Devices such as smartphones, smart speakers, and smart home appliances provide hands-free control, which facilitates multi-tasking.

In addition, voice control improves the user experience by offering a more natural and user-friendly interface. Voice assistants such as Siri, Alexa, and Google Assistant comprehend and react to human speech, providing personalized assistance and information to users. Thus, such factors will propel the growth of the market during the forecast period.

Trends

The rising popularity of voice e-commerce is the primary trend shaping market growth. The concept of voice commerce is gaining popularity across the globe. Voice commerce is a technology that provides an alternative to using a keyboard and mouse or smartphone to order and purchase products online. Consumers can give voice commands to smart speaker-enabled virtual assistants such as Google Assistant or Amazon Alexa to search for and buy products online.

Moreover, consumers prefer voice commerce over traditional input methods due to advantages such as hands-free operation, the ability to order when multi-tasking, and faster responses and results. In addition, online purchases are made easier with the innovative options present in smart speakers. Therefore, the increasing popularity of voice commerce will be a major trend driving the demand for voice-based user interfaces, which, in turn, will fuel the growth of the market during the forecast period.

Restrain

Issues related to user privacy and cybersecurity threats is a challenge that affects market growth. In many countries, network security in high-security zones is assumed to pose a high national security risk as these network areas may be the target of terrorist attacks. Using voice-based user interfaces over mobile and cloud networks can lead to cybersecurity and data breach issues due to increased data-sharing over the network. In addition, some nations have restricted a few application areas of voice-controlled devices, including vehicle and infrastructure communication, due to security concerns.

Furthermore, voice-controlled devices can be a potential target for hackers, as their systems are controlled by machine intelligence and sensors that use the Internet. Therefore, the threat of hacking into such network systems is high. Therefore, such factors may impede the growth of the global voice controlled devices market during the forecast period.

Voice Controlled Devices Market Segmentation By Component

The market share growth by the hardware segment will be significant during the forecast period. Voice-enabled devices use advanced technology to incorporate voice recognition and natural language processing (NLP). Some of the hardware components in voice-controlled devices are microphones, speakers, processors, memory, and connection modules. Microphones are essential for voice-controlled devices to interpret voice commands and respond to these user commands accurately.

Get a glance at the market contribution of various segment

The global voice platform market is experiencing robust growth, driven by increasing adoption of voice assistants, expanding cloud infrastructure, and the surging demand for seamless customer experiences across various sectors. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This growth is fueled by several key factors. The proliferation of smart devices equipped with voice assistants like Amazon Alexa, Google Assistant, and Apple Siri is significantly boosting market adoption. Furthermore, the shift towards cloud-based voice platforms offers scalability, cost-effectiveness, and improved accessibility, driving enterprise adoption. The integration of voice technology into diverse applications, including customer service (through platforms like Genesys and Voice), healthcare, and automotive, is expanding market opportunities. Leading companies are constantly innovating with advanced features like natural language processing (NLP) and AI-powered voice recognition, further fueling this growth trajectory. However, challenges remain. Data security and privacy concerns surrounding the collection and use of voice data represent a significant restraint. Furthermore, the complexity of integrating voice platforms into existing systems and the need for skilled professionals to develop and maintain these systems can hinder wider adoption, particularly amongst smaller enterprises. Segmentation analysis reveals that the cloud-based segment currently dominates the market, owing to its inherent advantages. Across application segments, the carrier, service provider, and mobile operator sectors are early adopters, while enterprise adoption is rapidly increasing, presenting significant future potential. Geographically, North America and Europe currently hold the largest market shares, but significant growth is anticipated from Asia-Pacific regions, driven by increasing smartphone penetration and technological advancements. The forecast period (2025-2033) projects substantial market expansion, reaching an estimated value exceeding $50 billion by 2033, driven by ongoing technological advancements and broadened applications.

Introduction

Welcome to the US English Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data

This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the US English language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of US English

When asked about the aspects they considered positive about voice shopping, 56 percent of U.S. online shoppers cited convenience. In addition, 55 percent highlighted saving time as a benefit of this shopping channel, while 26 percent mentioned saving money.

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Smart Speaker Market Size 2024-2028

The smart speaker market size is forecast to increase by USD 50.75 billion at a CAGR of 34.28% between 2023 and 2028.

The market is experiencing significant growth, driven by the rapidly increasing unit sales of these devices. This trend is fueled by the convenience and accessibility they offer, as well as the increasing popularity of voice commerce.
However, the market also faces challenges related to privacy and security concerns, as smart speakers constantly listen and record user interactions. These issues may hinder the adoption rate of smart speakers in some households. It is essential for manufacturers to address these challenges by implementing robust security measures and transparent data handling practices to maintain user trust and ensure the continued growth of the market.

What will be the Size of the Smart Speaker Market During the Forecast Period?

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The market is experiencing significant growth, driven by the increasing adoption of smart homes and IoT technologies. Smart speakers, as wireless voice-enabled devices, serve as central hubs for controlling various smart home devices and appliances. According to recent studies, The market is projected to expand at a compound annual growth rate of over 20% through 2025. This expansion is fueled by the integration of advanced sensors, voice assistance, and intelligent virtual assistants into these devices. Digital technology companies are investing heavily in data-steered innovations to enhance user experiences and expand functionalities. Smart speakers, which can be connected via Wi-Fi or Bluetooth, are revolutionizing the way we interact with our homes and appliances, making daily tasks more convenient and efficient.
The virtual assistant-enabled smart speakers market is experiencing rapid growth, with millions of households worldwide owning a wireless voice-enabled device in 2021, according to Consumer Intelligence Research Partners (CIRP). These devices, which include display-based smart speaker devices and wireless speakers, serve as smart home hubs, controlling various smart home appliances and entertainment systems through artificial intelligence of things (AIoT) and natural processing language (NPL). However, the integration of AI and the constant connectivity of these devices pose potential security risks, making it essential for users to prioritize privacy settings and updates. As the market continues to evolve, intelligent virtual assistants like Siri, Alexa, and Google Assistant are expected to revolutionize conventional home entertainment systems and enhance our daily lives with seamless integration into the AIoT ecosystem
The integration of smart speakers with various smart home products and appliances is expected to further boost market growth.

How is this Smart Speaker Industry segmented and which is the largest segment?

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

End-user

  Residential
  Commercial


Distribution Channel

  Offline
  Online


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By End-user Insights

The residential segment is estimated to witness significant growth during the forecast period.

The residential segment of the market is experiencing notable growth due to the increasing demand for these devices in households. The convenience of voice control and their ability to connect with various digital streaming platforms and home appliances make smart speakers an essential addition to modern homes. The popularity of digital content and subscription services, such as Amazon Prime, Netflix, and YouTube, has further accentuated the need for smart speakers in managing household entertainment. As a result, there has been a consistent trend towards the adoption of smart speakers for personal use in households worldwide. These devices serve as a central hub for managing and accessing digital content and home automation, making them an indispensable tool for homeowners.

Get a glance at the Smart Speaker Industry report of share of various segments. Request Free Sample

The residential segment was valued at USD 2.92 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 48% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American market for smart speaker

Introduction

Welcome to the Odia Scripted Monologue Speech Dataset for the Retail & E-commerce Domain. This meticulously curated dataset is designed to advance the development of Odia language speech recognition models, particularly for the Retail & E-commerce industry.

Speech Data

This training dataset comprises over 6,000 high-quality scripted prompt recordings in Odia. These recordings cover various topics and scenarios relevant to the Retail & E-commerce domain, designed to build robust and accurate customer service speech technology.

Each scripted prompt is crafted to reflect real-life scenarios encountered in the Retail & E-commerce domain, ensuring applicability in training robust natural language processing and speech recognition models.

Transcription Data

In addition to high-quality audio recordings, the dataset includes meticulously prepared text files with verbatim transcriptions of each audio file. These transcriptions are essential for training accurate and robust speech recognition models.

Introduction

Welcome to the German Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data

This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the German language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of German call center speech recognition

Introduction

Welcome to the Philippines English Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data

This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the Philippines English language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the

The Voice And Speech Analytics Market is projected to grow at 17.0% CAGR, reaching $5.7 Billion by 2029. Where is the industry heading next? Get the sample report now!

The Voice Recognition Control System market has rapidly evolved into a crucial component of various industries, driven by advancements in artificial intelligence and natural language processing technologies. As businesses increasingly seek to enhance customer experience and operational efficiency, voice recognition

Introduction

Welcome to the Bengali Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data

This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the Bengali language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of Bengali call center speech recognition

Worldwide, more than 40 percent of smart home voice assistant buyers reported regularly purchasing through this channel in 2021. In addition to the United States, various countries in the Asia-Pacific region stood out for having a high percentage of frequent voice commerce shoppers. Around 60 percent of those surveyed in Indonesia and Singapore said they made daily or weekly purchases via voice assistants such as Amazon Echo and Google Home. Meanwhile, this figure was closer to 50 percent in Malaysia and Thailand.

Introduction

Welcome to the Vietnamese Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data

This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the Vietnamese language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of Vietnamese call center

Introduction

Welcome to the Brazilian Portuguese Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data

This training dataset comprises 30 hours of call center audio recordings covering various topics and scenarios related to the Retail domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Retail domain call center conversational AI and ASR models for the Brazilian Portuguese language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the

In 2021, just over 17 percent of consumers from the United States used voice technology for their shopping experience. This is an increase of almost 10 percent from 2018.