The global conversational AI market size reached approximately USD 9.69 Billion in 2024. The market is projected to grow at a CAGR of 22.90% between 2025 and 2034, reaching a value of around USD 76.18 Billion by 2034.
Base Year
Historical Period
Forecast Period
Progress in Natural Language Processing (NLP) and Natural Language Understanding (NLU) aids in human language processing of conversational AI.
Businesses are integrating conversational AI into their omnichannel strategies to provide a consistent and seamless experience across multiple touchpoints.
The rise of voice assistants like Amazon Alexa, Google Assistant, and Apple Siri indicates a shift towards voice-enabled interfaces.
Compound Annual Growth Rate
22.9%
Value in USD Billion
2025-2034
Conversational AI Market Outlook
*this image is indicative*
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Conversational AI is a developing technology used in automated messaging and speech-enabled applications and devices to offer a human-like conversational experience to customers via machines. For instance, chatbots are software programmes that simulate human-like conversation by making use of artificial intelligence along with natural language processing. Conversational AI technology is used to imitate human interactions, recognising speech and text inputs translated across languages. This technology is mainly adopted by enterprises to enhance customer service, as it provides immediate automated responses and makes the experience seem more personalised.
The heightened digitalisation with increased adoption of the Internet of Things (IoT) and increasing access to Internet facilities across industries is anticipated to propel the conversational AI market growth. Artificial intelligence in chatbots, for instance, is used to simulate human dialogues by learning previous interactions and predicting subsequent exchanges, which would allow for quick and convenient conversations. Furthermore, the self-learning interface of chatbots enables them to correct their mistakes with every interaction, thus, giving them a human-like feel. In addition, the rising awareness about conversational AI is also contributing to its popularity. For instance, voice-activated services such as Apple's Siri, Lenovo's Cortana, and Google's Ok Google are witnessing increased utilisation along with devices such as Google Mini, which can conversate and carry out small tasks.
Growing development of affordable AI chatbots; personalisation and contextualisation; increasing use of omnichannel marketing strategies; and growing demand for AI-enhanced customer support services are the major trends impacting the conversational AI market growth
Advances in AI and machine learning, along with the availability of open-source frameworks and cloud-based services, are reducing the cost and complexity of developing chatbots.
Conversational AI systems are becoming more sophisticated as they can remember past interactions and preferences, allowing for more contextual and relevant engagements with users.
Omnichannel strategies in conversational AI aim to provide customers with a consistent and unified experience when they are interacting with a brand through any channel.
AI-enhanced customer support, through chatbots and virtual assistants, can provide instant replies 24/7, addressing this expectation effectively.
Advancements in AI and machine learning, combined with the widespread availability of open-source frameworks and cloud-based services, are significantly lowering the barriers to developing chatbots. These advancements in AI and machine learning have led to more sophisticated natural language processing (NLP) and understanding (NLU) capabilities as these technologies are becoming more accessible to developers through various platforms and services.
Open-source frameworks like Rasa, Botpress, or Microsoft Bot Framework provide developers with powerful tools to build chatbots without starting from scratch. These frameworks come with pre-built functionalities, extensive documentation, and community support, simplifying the development process, which aids conversational AI market development.
Fujitsu announced the introduction of two innovative AI trust technologies aimed at enhancing the trustworthiness of responses provided by conversational AI models. The advancements encompass a technique designed to identify hallucinations in conversational AI models. Hallucinations in this context refer to instances where generative AI produces outputs that are incorrect or irrelevant.
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“Conversational AI Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
Market Breakup by Technology
Market Breakup by Deployment Mode
Market Breakup by End Use
Market Breakup by Region
Cloud-based deployment is expected to dominate the conversational AI market amid its growing implementation in multiple end-use sectors
The cloud segment is predicted to hold a significant conversational artificial AI market share. This can be attributed to the increased implementation of cloud technology in major industry verticals such as the healthcare and retail sectors to consolidate business processes, provide access and storage to a wide range of data, and improve work efficiency. In addition, the adoption of cloud-based models also offers low maintenance costs, which is predicted to aid the market growth in the coming years.
The demand for on-premises solutions in the conversational AI market is significant, particularly among businesses that prioritise data security, compliance, and customisation. For sectors that handle sensitive information, such as finance, healthcare, and government, on-premises solutions offer greater control over data security. Companies can enforce their own security protocols and comply with stringent regulations regarding data handling and privacy.
The retail and e-commerce sectors account for a major conversational AI market share, as retailers seek to improve customer experience
The conversational AI market growth is supported by its rising usage in the retail and e-commerce sectors as chatbots and virtual assistants, enable 24/7 customer service, providing instant responses to inquiries, resolving issues, and guiding customers through their shopping journey, which significantly enhances customer satisfaction and loyalty. AI-driven conversational tools can also offer personalised recommendations based on a customer's browsing history, purchase records, and preferences, mimicking a personalised shopping assistant and making the shopping experience more engaging and tailored.
The conversational artificial intelligence market in healthcare and life sciences is growing rapidly, driven by the need for improved healthcare accessibility, patient engagement, and operational efficiency. Conversational AI can provide 24/7 support to patients, answering queries, providing health information, and guiding them through treatment processes. This constant support can significantly improve patient engagement and satisfaction.
North America is estimated to hold a significant share of the market in the forecast period. The growth can be attributed to the presence of the leading market players in the region. In addition, the heightened adoption of conversational AI-based chatbot services by various enterprises for routine customer service applications to enhance customer satisfaction and improve operational efficiency is also expected to aid market growth. Moreover, the increased investment in the development of artificial intelligence technology is also expected to positively impact the market growth in the coming years.
The Asia Pacific conversational AI market is also witnessing a robust growth as many countries in the region are actively pursuing digital transformation in various sectors. Governments and businesses are investing in AI and related technologies to improve services, enhance productivity, and foster innovation. The region also has a high rate of internet and smartphone penetration, with a significant portion of the population accessing digital services through mobile devices which creates a conducive environment for mobile-first conversational AI applications.
The market players are leveraging advanced technologies and updating their existing offerings to stay ahead in the competition
| Company | Location | Industry | Specialisation |
| Oracle Corporation | Texas, United States | Cloud Computing | Database software and technology, cloud-engineered systems, enterprise software products |
| IBM Corporation | New York, United States | Technology | Computer hardware and software |
| Nuance Communications | Massachusetts, United States | Computer Software | Conversational AI, speech recognition solutions |
| Avaamo, Inc. | California, United States | Enterprise Software | Conversational AI, intelligent conversational interfaces for enterprises |
The players in the conversational AI market are actively seeking and securing funding to strengthen their market presence and further develop their AI technology. Companies are using the capital from funding rounds to scale their operations, expand their teams, and increase their market reach which includes entering new geographic markets and industry verticals where conversational AI can address specific needs.
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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In 2024, the global conversational AI market attained a value of USD 9.69 Billion.
The market is projected to grow at a CAGR of 22.90% between 2025 and 2034.
The market is estimated to witness a healthy growth in the forecast period of 2025-2034 to reach USD 76.18 Billion by 2034.
The major drivers of the market, such as the increased deployment of chatbots in major industry verticals, the rising adoption of IoT solutions, the rapid spread of the internet, and the increasing investments in research and development activities by the leading technology companies, are expected to aid the market growth.
The key market trends guiding the growth of the market include the rapid digitalisation and the growing technological advancements.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The significant components considered within the market report include platform and services.
The significant segments based on technology include machine learning and deep learning, natural language processing, and automated speech recognition.
The major deployment modes include cloud and on-premises.
The significant end uses include banking, financial services and insurance, retail and e-commerce, healthcare and life sciences, travel and hospitality, telecom, and media and entertainment.
The major players in the market are Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Oracle Corporation, IBM Corporation, Nuance Communications, Avaamo, Inc., SAP SE, Cognigy GmbH, Rasa Technologies Inc, and Kasisto, Inc., among others.
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2024 |
| Historical Period | 2018-2024 |
| Forecast Period | 2025-2034 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Component |
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| Breakup by Technology |
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| Breakup by Deployment Mode |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
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