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The conversational AI market size is projected to grow from $12.82 billion in 2024 to $136.41 billion by 2035, representing a CAGR of 23.98% during the forecast period 2024-2035.
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The new research study consists of industry trends, detailed market analysis, key market trends of the conversational AI market, SWOT analysis and value chain analysis.
Conversational AI refers to a technology that enables machines to engage in natural, human-like conversations with users through text or speech interfaces. With the emergence of artificial general intelligence, conversational AI brings together various techniques including natural language processing, machine learning and deep learning to understand user inputs, generate appropriate responses, and mimic human conversation patterns. This technology consists of advanced chatbots and virtual agents that engage with humans to provide solutions for various problems and complete a particular task with the help of large volumes of data.
The rise of AI-powered customer support services is significantly contributing to the growth of the conversational AI market. As customers increasingly expect fast, efficient and personalized experiences, companies are introducing ways to take their support channels beyond traditional call centers. This is further expected to drive the conversational AI market with a high demand for AI chatbots and virtual assistants that are made to handle high volumes of repetitive query handling through natural language conversations 24/7. Additionally, many large enterprises are also investing in sophisticated AI solutions that not only answer your queries but also resolve issues by taking required actions. For instance, chatbots are being deployed by telecom and utility providers that can check bank account balances, pay bills, track orders and even activate/ deactivate connections upon customer request.
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This conversational AI report presents an in-depth analysis of the various service providers that are involved in conversational AI market, across different segments, as defined in the table below:
| Key Report Attributes | Details | |
| Historical Trend | 2019-2023 | |
| Base Year | 2023 | |
| Forecast Period | 2024-2035 | |
| Market Size Value in 2024 | $ 12.82 Billion | |
| Market Size Value by 2035 | $ 136.41 Billion | |
| Growth Rate | CAGR of 23.98% from 2024 to 2035 | |
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| Type of Conversational AI Modality |
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| PowerPoint Presentation (Complimentary) | Available | |
| Customization Scope | 15% Free Customization | |
| Excel Data Packs (Complimentary) |
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The global conversational AI market is segmented into various types of components, such as managed services, professional services, and solutions. According to our analysis, the solutions segment will dominate with the largest market share during this forecast period. This can be attributed to this segment being accountable for the businesses’ extensive internal conversational AI technology installation. In addition to this, AI-enhanced support systems are more successful in providing consumers with access to services and round the clock help. This can further help in allowing businesses to provide trustworthy customer care. For instance, in January 2024, OpenAI, introduced an innovative feature in ChatGPT called GPT Mentions. This feature offers a seamless way to integrate custom GPTs or bots into user interactions.
The global conversational AI market is split into different types of conversational AI, such as AI chatbots, generative AI agents, and intelligent virtual assistants (IVA). Among the categories, the chatbot segment is expected to gain the maximum market share. This can be attributed to the chatbot technology trends of prominent developments in machine learning and natural language processing (NLP). Primarily used for gathering data, chatbots can now understand and generate language similar to humans due to the rapid advancements in NLP. However, it is worth mentioning that the IVA segment is expected to witness the fastest CAGR in the forecasted period. This can be attributed to the market growth being sourced by AI service providers who are bringing various types of chatbots and virtual assistants into the market.
The global conversational AI market is fragmented into multiple types of deployment namely cloud, hybrid and on premises. The cloud deployment segment is anticipated to dominate with the highest market share as well as the fastest CAGR over this forecast period. This can be attributed to the increasing importance of cloud-based technologies and services in businesses across the world. The regular updating of cloud conversational AI platforms with new features, improvements and advancements in machine learning and language processing are also fueling the segment’s market.
The global conversational AI market is fragmented into multiple types of conversational AI modalities namely multimodal, text-based and voice-based. The text-based segment is anticipated to dominate with the highest market share over this forecast period. This can be attributed to its widespread adoption in chatbots and virtual assistants. On the other hand, the voice-based segment will be witnessing the fastest CAGR in the forecasting period. This growth is the result of advancements in NLP and increasing consumer preference for voice interactions.
The global conversational AI market is fragmented into multiple types of technology namely automatic speech recognition, ML and deep learning, and natural language processing. The natural language processing market segment is expected to dominate the market. This can be attributed to the improved efficiency and accuracy of NLP in processing large amounts of natural language data and streamlining documentation processes. However, it is worth highlighting that the automatic speech recognition segment is anticipated to dominate with the fastest CAGR over this forecast period. This can be attributed to the rapid development of speech user interfaces for conversational AI facilitated by ASR.
The global conversational AI market is fragmented into multiple types of end-users namely automotive, BFSI, education, healthcare, IT & telecom, media & entertainment, retail & e-commerce, and others. The retail and e-commerce segment is anticipated to dominate with the highest market share over this forecast period. This can be attributed to the significant traction the conversational AI in e-commerce and retail industry has gained due to its potential to enhance customer engagement, streamline operations and improve overall shopping experiences.
The global conversational AI market is fragmented into multiple types of enterprise namely large and small and medium enterprise. The large enterprise segment is anticipated to dominate the segment with the highest market share over this forecast period. However, small and medium enterprise segments are expected to witness the fastest growth rate until 2035. This is ascribable to their increased affordability, niche conversational AI market opportunities, flexibility and government support.
This segment highlights the distribution of the conversational AI market across various geographical regions such as North America, Europe, Asia, Latin America, Middle East, North Africa, and the rest of the world. According to our analysis, North America exhibits dominance in the market due to its broad adoption of cutting-edge technology and the rapid rise in demand for customer support services driven by AI. In addition to this, most companies in America are investing in new technology to further support and meet the needs of their clients.
The “Conversational AI Market Till 2035: Distribution by Type of Component (Managed Services, Professional Services, Solutions), by Type of Conversational AI (AI Chatbots, Generative AI Agents, and Intelligent Virtual Assistant (IVA)), by Type of Deployment (Cloud, Hybrid, and On-Premises) by Type of Conversational AI Modality (Multimodal, Text-based, and Voice-based), by Type of Technology (Automatic Speech Recognition, ML and Deep Learning, and Natural Language Processing) by Type of End User (Automotive, BFSI, Education, Healthcare, IT & Telecom, Media & Entertainment, Retail & E-Commerce, and Others), by Company Size (Large Enterprises, Small and Medium Enterprises (SMEs)), by Type of Business Model (B2B, B2C, and B2B2C), and Key Geographical Regions (North America, Europe, Asia, Latin America, and Middle East and North Africa and Rest of the World): Industry Trends and Global Forecasts” report features an extensive study of the current market landscape, market size and future opportunity within the conversational AI industry forecast period. The market report highlights the efforts of several stakeholders involved in this rapidly emerging segment of the service providers industry. Key takeaways of the conversational AI market report are briefly discussed below.
The rise in the demand for AI powered customer support and integration with messaging services to boost market growth are a few of the conversational AI growth trends. According to AI chatbot market research, the growing use of chatbots in messaging services shows it to be a major trend leading to market growth. This is due to messaging platforms becoming the primary source of communication globally, further motivating businesses to realize the potential of AI powered chatbots for customer interactions. Additionally, the integration of AI chatbots in messaging services is allowing businesses to connect with customers anywhere in the world, offering them immediate and personalized assistance directly through their favorite messaging app.
With the presence of several small and large companies, the market is experiencing intense competition and changing market dynamics. From large multinational companies to local players, companies are striving to enhance their competitive edge. In terms of market share, large enterprises and multinational companies are dominating the market. The key players are using strategies such as partnerships, acquisitions, ventures, innovations, R&D and geographical expansions in an attempt to solidify their position in the industry. For instance, in June 2024, SoftBank Corp partnered with generative AI startup Perplexity to offer their customers a one-year free subscription to Perplexity premium.
Despite the exceptional growth, the conversational AI market is facing a few challenges. The most prominent ones include cyber security and data privacy concerns and lack of awareness regarding benefits of conversational AI. It is important for businesses to understand the capabilities of conversational AI as many ae hesitant to accept this technology due to lack of awareness. Along with this, users also have privacy concerns due to the unawareness of AI’s functionality regarding data handling. These restraints are preventing companies to understand the proper potential of conversational AI, hence restraining its market growth.
North America currently holds a substantial share in the conversational AI market. This dominance can be attributed to the region’s robust research and development ecosystem, along with the growing need for AI powered customer support services. In addition to this growing health consciousness among the population is further fueling the conversational AI market growth.
Examples of key service providers involved in the conversational AI market (which have also been captured in this market report, arranged in alphabetical order) include 7.ai, Amelia, Avaamo, AWS, Baidu, Boost.ai, Cognigy, Conversica, Creative Virtual, Clinc, eGain, Exceed.ai, FIS, Google, Gupshup, Haptik, IBM, Inbenta, Kore.ai, Kasisto, Laiye, LivePerson, MindMeld, Microsoft, Nuance Communications, OpenAI, Oracle, Pypestream, Quiq, Rasa, Rulai, SAP SE, Saarthi.ai, Senseforth.ai, SoundHound, Solvvy, Sprinklr, Teneo.ai, Twilio, Yellow.ai. This market report includes an easily searchable excel database of all the companies who offer conversational AI products.
The market report presents an in-depth analysis, highlighting the capabilities of various companies engaged in this domain, across different segments. Amongst other elements, the market report includes:
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