One of the reasons behind AI-powered customer service is the preference for conversational AI over phone calls. In 2024, 82 percent of consumers stated they would use a chatbot instead of waiting for a customer representative to take their call. An outstanding 96 percent of surveyed shoppers believed that more companies should opt for chatbots over traditional customer support services.

As of December 2023, the company ASAPP was the most funded chatbot/ conversational AI worldwide, with around 380 million U.S. dollars. By contrast, the next company operating in the same field had a little over 300 million U.S. dollars.

What are AI chatbots?

A chatbot, also known as a conversational bot, is an AI software that simulates human conversation via audio or text on the internet. They are designed to answer basic questions, recommend products, and provide customer support so that organizations and companies can save manpower, money, and time. Recent developments have produced more advanced chatbots that utilize deep learning algorithms to produce answers to complex problems and questions. There are different types of chatbots, such as menu-based, keyword-based, social messaging, and voice bots. Popular chatbots are Netomi, atSpoke, and the new ChatGPT, which was launched in November 2022.

Artificial Intelligence

Artificial intelligence (AI) is the ability of a computer or machine to mimic human competencies, learning from previous experiences to understand and respond to language, decisions, and problems. A growing number of companies and startups are engaging in the artificial intelligence market, which is expected to grow rapidly in the near future. Popular tech companies involved in the industry are IBM, Microsoft, and Tencent, which owns the highest number of AI and ML patent families.

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Conversational AI Market Size 2025-2029

The conversational ai market size is forecast to increase by USD 24.84 billion at a CAGR of 24.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the advancements in Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technologies. These technologies enable more sophisticated and human-like interactions between businesses and consumers, leading to increased customer engagement. However, resistance to using chatbots and concerns over data privacy and security remain challenges that market players must address. As more businesses seek to enhance their customer experiences and streamline operations, the demand for conversational AI solutions is expected to continue growing. Companies looking to capitalize on this market opportunity should focus on developing solutions that offer personalized interactions, seamless integration with existing systems, and robust security features. Additionally, partnerships and collaborations with industry leaders and innovative startups can help companies stay competitive and expand their offerings. Overall, the market presents significant opportunities for growth, with the potential to transform customer interactions and drive operational efficiencies.

What will be the Size of the Conversational AI Market during the forecast period?

Request Free SampleThe market is experiencing significant growth and innovation, with conversational agents and chatbots becoming increasingly integral to business operations. Bot development tools enable the creation of conversational ecosystems, while conversational AI platforms utilize semantic networks and language models to understand and respond to user queries. Conversational technology integration is a key trend, allowing for conversational assistants to streamline workflows and enhance user experience (UX). Moreover, conversational analytics dashboards provide valuable insights, enabling conversational reporting and data-driven decision-making. Knowledge graphs and conversational intelligence engines further enhance conversational capabilities, leading to a conversational revolution in various industries. The future of conversational AI lies in conversational automation frameworks, transformer networks, and continued conversational adoption. Businesses can leverage conversational trends and APIs to create engaging conversational experiences (CX) and improve customer interactions. Bot testing tools ensure the quality and performance of conversational assistants, while conversational UX design focuses on creating intuitive and user-friendly interfaces. As conversational technology continues to evolve, it will undoubtedly transform the way businesses engage with their customers and streamline internal processes.

How is this Conversational AI Industry segmented?

The conversational ai industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudTypeAI chatbotsVoice botsInteractive voice assistantsGenerative AI agentsMethodInternal enterprise systemsExternal communication channelsEnd-userBFSIRetail and e-commerceEducationMedia and entertainmentOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth Korea

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.In the realm of artificial intelligence (AI) deployment models, on-premises infrastructure has gained significant traction. This setup involves installing AI infrastructure within a business's premises, which often necessitates the use of high-performance computing (HPC) systems, occupying over 100 square meters. The primary reason for this trend is the heightened emphasis on data security. With on-premises AI infrastructure, businesses retain complete control over their hardware and software. This control appeals to numerous global clients, who demand stringent security measures for their data. Consequently, the adoption of on-premises AI infrastructure is on the rise. Human-computer interaction (HCI), dialogue management, intent classification, conversational analytics, and machine learning (ML) are integral components of AI infrastructure. These technologies enable advanced functionalities, such as conversational commerce, conversational retail, conversational healthcare, conversational design, conversational travel, and conversational optimization. As businesses continue to prioritize data security, the demand for on-premises AI infrastructure is expected to persist.

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The On-premises segment was valued at USD 2.21 billion in 2019 and showed a gradual increase during the forecast period.

Re

A survey conducted globally among retail consumers in 2023 shows the reasons why consumers enjoy conversational commerce powered by artificial intelligence (AI). Over ** percent of customers enjoy the fact that even while using this tool they have their personal data protected, and around ** percent like when the tool explains the reasons for recommending such products.

Conversational AI Platform Market Outlook

The global Conversational AI Platform market size is projected to reach USD 30 billion by 2032 from an estimated USD 5 billion in 2023, growing at a robust CAGR of 20% during the forecast period. This significant growth is primarily propelled by the increasing demand for enhanced customer engagement and service automation across various industries. The rise in digital transformation initiatives and the need for businesses to maintain a competitive edge are major factors driving this expansion. Furthermore, advancements in artificial intelligence and machine learning technologies have paved the way for more sophisticated conversational AI solutions, further catalyzing market growth.

One of the pivotal growth factors in the Conversational AI Platform market is the escalating demand for AI-powered customer support services. As consumers increasingly expect quick, personalized, and efficient interactions, businesses are turning to conversational AI to fulfill these expectations. AI chatbots and virtual assistants are becoming integral components of customer service strategies, capable of handling a myriad of customer inquiries in real-time, thereby reducing operational costs and enhancing customer satisfaction. This trend is particularly noticeable in sectors such as retail, BFSI, and telecommunications, where customer service is a critical component of business operations.

Another significant driver of market growth is the integration of conversational AI technologies in branding and advertisement strategies. Companies are leveraging AI-driven conversational interfaces to create more engaging and interactive marketing campaigns. These platforms enable brands to communicate with their audience in a more personalized manner, thus enhancing brand loyalty and customer engagement. The ability of conversational AI to analyze customer data and provide insights into consumer behavior is also aiding businesses in fine-tuning their marketing strategies, thereby boosting the overall effectiveness of their branding efforts.

The rise in data privacy and compliance concerns has also fueled the growth of the Conversational AI Platform market. As organizations strive to maintain compliance with stringent data protection regulations such as GDPR and CCPA, the need for AI solutions capable of ensuring data privacy is paramount. Conversational AI platforms equipped with robust security measures are increasingly being adopted to safeguard sensitive customer information. This trend is expected to continue as data privacy remains a top priority for businesses across all sectors, further driving the adoption of these technologies.

Conversational AI Solution is increasingly becoming a cornerstone for businesses aiming to revolutionize their customer interaction strategies. By leveraging these solutions, companies can provide seamless and personalized experiences that cater to the unique needs of their customers. The ability to integrate conversational AI into existing systems allows for the automation of routine tasks, freeing up human resources for more complex inquiries. This not only enhances operational efficiency but also ensures that customers receive timely and accurate responses. As the demand for more intuitive and responsive customer service grows, the adoption of conversational AI solutions is expected to rise, offering businesses a competitive advantage in a rapidly evolving market landscape.

From a regional perspective, North America currently dominates the Conversational AI Platform market, thanks to the presence of major technology players and the high adoption rate of AI-powered solutions in the region. The Asia Pacific region, however, is anticipated to witness the highest growth rate during the forecast period, driven by rapid digitalization and technological advancements in countries like China and India. Europe also presents substantial growth opportunities, supported by the increasing focus on customer experience management and the strong presence of the automotive and manufacturing sectors in the region.

Component Analysis

The Conversational AI Platform market is segmented by component into platforms and services. The platform segment holds a significant share of the market, driven by the rising demand for robust and scalable AI solutions capable of handling complex conversational interactions. These platforms are designed to integrate seamlessly with existing business systems, providing organizations wi

This statistic shows the number of conversational artificial intelligence M&A deals from 2016 to 2019. The number of conversational AI deals has boosted since 2016, reaching a high of 23 acquisitions in 2018. As of August 7. 2019, 21 conversational AI companies have already been acquired since the beginning of the year.

Conversational AI Market Outlook

The global conversational AI market size was estimated at USD 5.8 billion in 2023 and is projected to reach USD 38.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 23.4% during the forecast period. This rapid growth can be attributed to the increasing demand for AI-powered customer service solutions, enhanced user experiences, and the integration of conversational AI across various industry verticals. As businesses continue to prioritize customer engagement and support, conversational AI has become a key component of digital transformation initiatives, driving the market forward considerably.

Several factors are fueling the growth of the conversational AI market. Firstly, the proliferation of messaging platforms and smart devices has significantly increased the interaction points between businesses and consumers. Conversational AI, with its ability to provide real-time assistance, has become an essential tool for companies aiming to enhance customer experiences. Furthermore, the advent of advanced Natural Language Processing (NLP) and machine learning technologies has made conversational AI more accurate, contextually aware, and capable of understanding complex human queries, which has bolstered its adoption across various sectors. Additionally, businesses are increasingly recognizing the cost-effectiveness of conversational AI solutions, which reduce the need for human intervention and allow organizations to automate routine tasks and scale customer interactions efficiently.

Another crucial growth driver is the rising emphasis on data-driven decision-making. Conversational AI systems can gather and analyze data from customer interactions, providing valuable insights into consumer behavior and preferences. This enables businesses to personalize their offerings, improve customer satisfaction, and enhance their competitive edge. Moreover, the ongoing advancements in AI technologies, such as sentiment analysis and contextual intelligence, are enabling more sophisticated conversational interfaces, further expanding their applications across industries. As organizations seek to leverage these capabilities for strategic advantage, the demand for robust conversational AI platforms is set to surge.

The growing need for multilingual support is also propelling the conversational AI market. In today's globalized world, companies are striving to cater to diverse audiences, and conversational AI offers an efficient solution to bridge language barriers. With AI-driven language translation and natural language understanding, businesses can engage with customers in their native languages, fostering inclusivity and expanding market reach. This aspect is particularly relevant in regions with diverse linguistic landscapes, where conversational AI can play a pivotal role in enhancing customer engagement and driving business growth.

The regional outlook for the conversational AI market is optimistic, with North America leading in terms of adoption and technological advancements. The presence of major AI companies and the early adoption of innovative technologies contribute to this region's dominance. However, the Asia Pacific region is expected to witness the highest growth during the forecast period, driven by increasing investments in AI research and development and the rapid digital transformation across key economies such as China and India. European countries are also anticipated to show substantial growth, with industries such as BFSI and healthcare adopting conversational AI solutions to streamline operations and improve customer interactions.

The emergence of the Conversational Computing Platform is revolutionizing how businesses interact with their customers. This platform serves as a comprehensive framework that integrates various conversational AI technologies, enabling seamless communication across multiple channels. By leveraging the capabilities of such platforms, businesses can create more personalized and efficient customer interactions, enhancing user satisfaction and loyalty. These platforms are designed to support a wide range of applications, from customer support to marketing, allowing organizations to tailor their AI solutions to specific business needs. As the demand for conversational interfaces continues to grow, the role of the Conversational Computing Platform in facilitating these interactions becomes increasingly critical, driving innovation and adoption across industries.

Component Analysis</h2

India conversational AI market size reached USD 516.8 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 4,936.9 Million by 2033, exhibiting a growth rate (CAGR) of 26.4% during 2025-2033. The increasing automation of business operations and numerous technological advancements are primarily driving the market growth across the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, type, technology, deployment mode, organization size, and end user.

The Conversational AI market is experiencing robust growth, driven by the increasing adoption of AI-powered chatbots and virtual assistants across various industries. The market's expansion is fueled by several key factors: the rising demand for enhanced customer experience, the need for efficient automation of customer service operations, the proliferation of messaging platforms, and the increasing availability of advanced natural language processing (NLP) and machine learning (ML) technologies. Major players like Google, Microsoft, IBM, and Amazon Web Services (AWS) are heavily investing in research and development, leading to continuous innovation and improved conversational AI capabilities. This competitive landscape is fostering rapid advancements in areas such as sentiment analysis, intent recognition, and personalized interactions, further driving market growth. We project a market size of approximately $15 billion in 2025, with a Compound Annual Growth Rate (CAGR) of around 25% from 2025 to 2033. This significant growth trajectory is expected to continue, fueled by the increasing adoption of AI across diverse sectors including finance, healthcare, retail, and education. Despite its impressive growth, the Conversational AI market faces certain challenges. Data privacy concerns and the need for robust security measures remain significant hurdles. Furthermore, the complexity of integrating conversational AI solutions into existing systems and the need for ongoing maintenance and updates can present obstacles for businesses. However, the rising demand for personalized customer experiences, coupled with continuous technological advancements in areas like speech recognition and dialogue management, is expected to outweigh these challenges. The market is segmented by deployment (cloud, on-premise), application (customer service, sales, marketing), and industry (retail, banking, healthcare). We anticipate the cloud deployment segment will dominate due to scalability and cost-effectiveness, while the customer service application will maintain a significant lead, reflecting its widespread adoption. The North American market is currently leading, though rapid growth is anticipated in Asia-Pacific regions due to the rising digitalization efforts and expanding internet penetration.

Conversational AI Market Outlook

According to our latest research, the global Conversational AI market size reached USD 13.8 billion in 2024, driven by rapid adoption across customer-facing industries and advancements in natural language technologies. The market is experiencing robust growth, with a compound annual growth rate (CAGR) of 22.6% projected from 2025 to 2033. By 2033, the global Conversational AI market is forecasted to reach USD 67.8 billion. The primary growth factor fueling this expansion is the escalating demand for automated, scalable, and intelligent customer engagement solutions, especially as enterprises accelerate their digital transformation initiatives.

One of the most significant growth drivers for the Conversational AI market is the increasing emphasis on enhancing customer experience and operational efficiency. Organizations across sectors such as BFSI, healthcare, retail, and telecommunications are leveraging conversational AI platforms to automate customer support, streamline internal communications, and deliver personalized interactions at scale. The integration of advanced technologies like natural language processing (NLP), machine learning (ML), and automated speech recognition (ASR) has enabled conversational AI systems to understand context, intent, and sentiment with greater accuracy, resulting in more human-like and effective conversations. This has led to a surge in adoption, particularly as businesses seek to reduce operational costs and improve response times.

Another key factor propelling the growth of the Conversational AI market is the proliferation of digital channels and the increasing ubiquity of smart devices. As consumers interact with brands across multiple touchpoints—such as messaging apps, websites, voice assistants, and mobile applications—there is a growing need for seamless, consistent, and real-time communication. Conversational AI solutions are uniquely positioned to address these needs by providing 24/7 support, multilingual capabilities, and the ability to handle large volumes of simultaneous interactions. Furthermore, the COVID-19 pandemic accelerated the shift toward digital engagement, compelling organizations to invest in AI-driven solutions to manage increased online traffic and evolving customer expectations.

The rapid evolution of AI algorithms, coupled with the availability of massive datasets and cloud computing resources, has further catalyzed innovation in the Conversational AI space. Vendors are focusing on enhancing the contextual understanding, emotional intelligence, and personalization capabilities of their platforms. Meanwhile, regulatory developments regarding data privacy and ethical AI are shaping product development and deployment strategies. The growing ecosystem of AI startups, technology giants, and system integrators is also fostering a competitive environment, driving continuous improvement in solution offerings and pricing models. As a result, the Conversational AI market is expected to witness sustained double-digit growth throughout the forecast period.

From a regional perspective, North America currently leads the global Conversational AI market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The presence of major technology companies, high digital adoption rates, and significant investments in AI research and development contribute to North America's dominance. However, Asia Pacific is emerging as the fastest-growing region, fueled by the rapid digitalization of economies such as China, India, and Japan, rising internet penetration, and increasing demand for AI-powered customer engagement solutions. Europe is also witnessing substantial growth, supported by favorable regulatory frameworks and strong focus on data privacy and user experience.

Component Analysis

The Conversational AI market is segmented by component into platforms and services, each playing a pivotal role in the market’s growth trajectory. The platform segment encompasses the core softwar

The chatbot market size is projected to grow from $ 5.84 billion in 2024 to $61.97 billion by 2035, representing a CAGR of 23.94% during the forecast period 2024-2035.

The Conversational AI in Retail market is experiencing robust growth, driven by the increasing adoption of e-commerce and the need for enhanced customer experiences. While precise market size figures for 2025 are unavailable, considering a plausible CAGR of 25% (a conservative estimate given the sector's rapid expansion) and a hypothetical 2024 market size of $5 billion, the 2025 market size could be estimated at approximately $6.25 billion. This growth is fueled by several key factors. Firstly, retailers are leveraging conversational AI to improve customer service through 24/7 availability, personalized interactions, and faster resolution times. This leads to increased customer satisfaction and loyalty, ultimately boosting sales. Secondly, the ability of conversational AI to automate tasks like order placement, tracking, and returns frees up human agents to handle more complex issues, resulting in increased operational efficiency and cost savings. The integration of conversational AI into various channels, including mobile apps and websites, further expands its reach and impact. Different segments within the market are exhibiting varied growth rates. The app-based segment is likely outpacing web-based solutions due to the increasing mobile usage among consumers. Similarly, the e-commerce application is likely growing faster than supermarket applications, owing to the higher adoption of online shopping. However, market growth faces certain restraints. Data security and privacy concerns remain paramount, requiring robust security measures to build customer trust. The need for continuous improvement and adaptation of the AI models to meet evolving customer needs and preferences adds to the ongoing operational costs. Furthermore, the integration of conversational AI into existing retail systems can present technical challenges and require significant investment in infrastructure and training. Despite these challenges, the long-term outlook remains positive. Ongoing technological advancements, particularly in natural language processing (NLP), are improving the accuracy and effectiveness of conversational AI, leading to wider adoption across the retail industry. The market is likely to witness further diversification across applications and channels, with the emergence of innovative use cases and integration with other technologies like augmented reality and blockchain. The competitive landscape is dynamic, with both established tech giants and specialized AI startups vying for market share. Future growth hinges on effectively addressing the challenges associated with data privacy, continuous model improvement, and seamless system integration.

The developments in conversational AI raised urgent questions about the future direction of many aspects of society, including computing education. The first reactions to the fast-paced evolution of conversational agents were varied: Some announced “the end of programming,” while others considered this “premature obituary of programming.” Some adopted a defensive approach to detecting the use of conversational AI and avoiding an increase in plagiarism, while others questioned, “So what if ChatGPT wrote it?” Nevertheless, questions arise about whether computing education in its current form will still be relevant and fit for purpose in the era of conversational AI. Recognizing these diverse reactions to the advent of conversational AI, this paper aims to contribute to the ongoing discourse by exploring the current state through three perspectives in a dedicated literature review: adoption of conversational AI in (1) software engineering education specifically and (2) computing education in general, and (3) a comparison with software engineering practice. Our results show a gap between software engineering practice and higher education in the pace of adoption and the areas of use and generally identify preliminary research on student experience, teaching, and learning tools for software engineering.

The Conversational AI Chatbot market is experiencing robust growth, driven by the increasing adoption of AI-powered solutions across diverse industries. The market's expansion is fueled by several key factors: the rising demand for enhanced customer experience, the need for 24/7 availability and instant support, and the increasing efficiency and cost-effectiveness offered by automated customer service solutions. Businesses, both large enterprises and SMEs, are actively integrating conversational AI chatbots into their operations to streamline customer interactions, improve lead generation, and automate various internal processes. The diverse application across sectors like e-commerce, healthcare, banking, and education is further propelling market growth. Technological advancements, including Natural Language Processing (NLP) and Machine Learning (ML) improvements, are enabling more sophisticated and human-like chatbot interactions, thus boosting user satisfaction and adoption rates. While data privacy and security concerns pose some restraints, the overall market trajectory indicates significant future potential. The market segmentation reveals a strong presence of large enterprises adopting these solutions, reflecting their capacity for investment and need for scalable customer service infrastructure. However, the SME segment is also witnessing rapid growth, driven by the availability of affordable and user-friendly chatbot platforms. Messenger-based chatbots dominate the market currently due to their widespread accessibility, but web widget integration is gaining traction, offering a seamless customer experience within existing websites. The competitive landscape is dynamic, with established tech giants like IBM, Google, and AWS competing alongside specialized conversational AI companies. Geographic distribution shows strong growth in North America and Europe, reflecting early adoption and advanced technological infrastructure. However, emerging markets in Asia-Pacific and the Middle East & Africa present significant untapped potential for future expansion, as digital adoption accelerates in these regions. The forecast for the coming decade projects a continued, albeit potentially moderating, CAGR, reflecting the maturity of the technology and its increasingly widespread integration across various sectors.

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Conversational Computing Platform Market Size 2024-2028

The conversational computing platform market size is forecast to increase by USD 35.65 billion at a CAGR of 55.15% between 2023 and 2028.

The market is witnessing significant growth due to the reduction in time and cost required to develop these platforms. The integration of artificial intelligence (AI) and natural language processing (NLP) technologies is a key trend driving market growth. Conversational systems, such as chatbots, are increasingly being used in various industries, including travel, insurance, and digital services, to enhance customer engagement and streamline business processes. Big data and analytics are also playing a crucial role In the development of conversational computing platforms, enabling businesses to gain valuable insights from customer interactions. However, data security remains a major challenge, as conversational systems handle sensitive information. The use of blockchain technology and deep learning algorithms can help address data security concerns. Overall, the conversational computing platform market is expected to continue its digital transformation trajectory, offering numerous opportunities for businesses to leverage AI and NLP to create personalized and efficient conversational experiences for their customers.

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

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The conversational computing solutions market encompasses speech synthesis, recognition, and natural language understanding technologies that enable automated conversational techniques between businesses and their customers. This market is experiencing significant growth as businesses seek to enhance customer engagement and satisfaction through AI-based technology.
Moreover, applications span various industries, including insurance, healthcare, and digital marketing, where conversational AI is used to facilitate customer queries, provide instant insurance quotes, process claims inquiries, and offer personalized healthcare advice. Neural networks and generative AI power these systems, enabling them to understand and respond to complex customer requests. Conversational AI is also integrated into messaging services and platforms, streamlining customer service and information dissemination. The market's size and direction reflect a growing reliance on conversational computing for advertising, customer engagement, and business process automation.

How is this Conversational Computing Platform Industry segmented and which is the largest segment?

The conversational computing platform 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.

Type

  Virtual digital assistants
  Chatbots


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The virtual digital assistants segment is estimated to witness significant growth during the forecast period.

Virtual digital assistants, powered by advanced technologies such as speech synthesis, speech recognition, neural networks, natural language understanding, and machine learning, enable users to interact with computers using natural language. These assistants can handle business processes, answer customer queries, provide insurance quotes and claims inquiries, and offer solutions in various sectors including healthcare, digital marketing, telecom, entertainment and media, travel and hospitality, and startups. AI-based conversational techniques enhance customer satisfaction and streamline operations for digital marketing managers. Natural language processing and voice recognition technologies facilitate information dissemination, advertising, and customer service. Consulting and training, support and maintenance, cloud services, and IoTs are integral to the market. Conversational AI, generative AI, computer vision, and blockchain are driving digital transformation in IT and telecom industries.

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The virtual digital assistants segment was valued at USD 1.28 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 38% 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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Conversational computing platforms, which include solutions such as speech synthesis, speech recognition, neural networks

The Conversational AI market is rapidly evolving, fueled by advancements in artificial intelligence and natural language processing technologies. Currently valued at approximately $6.8 billion, this industry has seen significant growth in recent years, driven by the increasing demand for automated customer interacti

The statistic shows the likelihood whether people would trust AI voice assistant to make phone calls for them in the United States as of 2019. As of then, 39 percent of respondents indicated it's very unlikely that they would trust AI to make phone calls for them.

Vietnam conversational AI market size reached USD 54.4 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 243.9 Million by 2033, exhibiting a growth rate (CAGR) of 18.14% during 2025-2033. The increasing adoption of AI-powered chatbots and virtual assistants to automate customer support, streamline business processes, and provide quick and accurate information to users, is primarily driving the market.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, type, technology, deployment, organization size, and end user.

What’s Included

This training dataset comprises more than 10,000 conversational text data between two native Bahasa people in the general domain. We have a collection of chats on a variety of different topics/services/issues of daily life, such as music, books, festivals, health, kids, family, environment, study, childhood, cuisine, internet, movies, etc., and that makes the dataset diverse.

These chats consist of language-specific words, and phrases and follow the native way of talking which makes the chats more information-rich for your NLP model. Apart from each chat being specific to the topic, it contains various attributes like people's names, addresses, contact information, email address, time, date, local currency, telephone numbers, local slang, etc too in various formats to make the text data unbiased.

These chat scripts have between 300 and 700 words and up to 50 turns. 150 people that are a part of the FutureBeeAI crowd community contributed to this dataset. You will also receive chat metadata, such as participant age, gender, and country information, along with the chats. Dataset applications include conversational AI, natural language processing (NLP), smart assistants, text recognition, text analytics, and text prediction.

This dataset is being expanded with new chats all the time. We are able to produce text data in a variety of languages to meet your unique requirements. Check out the FutureBeeAI community for a custom collection.

This training dataset's licence belongs to FutureBeeAI!

The Cloud Conversational AI market is experiencing robust growth, driven by the increasing adoption of cloud-based solutions, the expanding need for automated customer service, and the rising demand for personalized customer experiences. The market's size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033. This significant growth is fueled by several factors. Businesses are increasingly leveraging cloud-based conversational AI to streamline operations, reduce costs, and enhance customer engagement. The ability to deploy and scale these solutions rapidly, alongside the integration with existing CRM and business applications, is a key driver. Further propelling growth are advancements in Natural Language Processing (NLP) and Machine Learning (ML), which are enabling more sophisticated and human-like interactions. However, challenges remain. Data privacy and security concerns, particularly regarding sensitive customer information, represent a significant restraint. The need for robust data annotation and training to ensure accurate and effective AI models also poses a challenge for many businesses. Despite these hurdles, the continued innovation in AI technologies and the increasing demand for efficient customer service solutions across diverse industries – including finance, healthcare, and retail – suggest a very positive outlook for the Cloud Conversational AI market. Key players like Google, SAP, IBM, Microsoft, and emerging companies such as Ada, Kore.ai, Conversica, LivePerson, Genesys, and Cognigy are actively shaping the market landscape through continuous product development and strategic partnerships. The market segmentation, although not explicitly provided, is likely to include offerings based on deployment model (public, private, hybrid), industry vertical, and AI capability (chatbots, virtual assistants, voice assistants).