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Conversational AI Market Share

ID: MRFR//6441-HCR | 111 Pages | Author: Ankit Gupta| November 2024

In the competitive landscape of the Conversational AI market, successful and influential strategies define shares positioning. Differentiation is another common strategy, in which companies seek to separate their offerings from those of the competition by integrating special features or exclusive functions. In this way, businesses can create a market for themselves by meeting the unique customer requirements or industry demands. Either advanced natural language processing, or in-depth knowledge of a particular industry like innovative applications, etc. can set apart companies from the crowd. Another important market positioning strategy is low-cost leadership. Others concentrate on providing Conversational AI solutions at a lower price without sacrificing quality. The idea is to capture a large share of the market by attracting cost-conscious customers and enterprises on tight budgets.


Cost leadership is essentially concerned with efficiency in operations, taking advantage of economies of scale and have precisely controlled resources to ensure competitive pricing. This approach is also widely accepted in markets where the price sensitivity runs high, and businesses emphasize cost-effectiveness without compromising important features or performance. Another effective market positioning technique in the Conversational AI space is strategic partnerships and collaborations. Some companies team up with technology or industry peers, while others pair themselves together to fill out their overall value proposition. Such alliances can help Conversational AI solutions break into existing ecosystems, magnifying market reach and thus influence over market share.


Companies that pair up with existing players or industry giants are able to borrow their partners 'reputation as well as customer base, which boosts credibility and shortens the time of market adoption. Company adopt vertical specialization as its market positioning strategy, it concentrates on specific industries or verticals. But far from offering one-size fits all solutions, these companies personalize their Conversational AI offerings to the requirements and challenges of any given industry. Be it healthcare, finance, retail or manufacturing; vertical specialization allows companies to go deep into its domain expertise. It becomes intimate with industry-specific requirements and can create solutions customized for particular needs in the marketplace. This strategy allows companies to enter narrow markets, cultivate a loyal customer base and become suppliers of choice as they target selective sectors.

Covered Aspects:

Report Attribute/Metric Details
Base Year For Estimation 2022
Historical Data 2019- 2021
Forecast Period 2023-2030
Growth Rate 22.60% (2023-2030)

Conversational Artificial Intelligence (AI) Market Overview


Conversational Artificial Intelligence (AI) Market is projected to grow from USD 12.75 Billion in 2024 to USD 36.54 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 22.30% during the forecast period (2024 - 2032). Additionally, the market size for onversational Artificial Intelligence (AI) was valued at USD 9.5 billion in 2023.


Gas requirements and auto maintenance using conversational artificial intelligence are the key market drivers enhancing the market growth.


Figure 1: Conversational AI Market Size, 2024-2032 (USD Billion)


Conversational Artificial Intelligence (AI) Market Overview1


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Conversational Artificial Intelligence (AI) Market Trends




  • Rising need for customer support powered by Al boosts the market growth




Conversational Artificial Intelligence (AI)Market CAGR, the market is being driven by the increased requirement for customer support, which is fueled by Al. Customers used to seek assistance from call centres, websites, emails, and applications when they needed customer services. However, as Al technology advances, businesses are using conversational Al solutions to deliver customer service effectively. Enterprises are now focusing on using Al-powered chatbots to improve customer experience and engagement instead of providing customer support services via emails or messages. Al-powered chatbots use LP technology to conduct conversations that are human-like and provide customers with immediate assistance.


They assist businesses in gathering information about the preferences, viewpoints, and purchasing habits of their clients, enabling them to offer proactive recommendations and more individualised experiences based on account activity. Businesses can use virtual agents and chatbots that are Al-enabled to automate repetitive tasks like placing orders, checking balances, answering general questions, providing technical support, and other customer services. Organizations can increase productivity while requiring less staff by utilising automation.


Furthermore, the increasing use of conversational intelligence in user-based services is a key driver of the conversational artificial intelligence industry. AI is being used more frequently on social media platforms. Conversational artificial intelligence is widely used on social media platforms such as Facebook, Instagram, Twitter, and Telegram. Collaborations on these sites result in increased interaction with clients. The conversational artificial intelligence sector is experiencing record-high spending in the social marketplaces.For instance, customers spend 80% of their time messaging through their devices, according to LivePerson, a provider of conversational artificial intelligence solutions. The company asserts that voice calls in contact centres cost USD 1.2 trillion ly and that there are approximately 57 billion conversations that take place there each year. As a result, conversational artificial intelligence (AI) Market revenue


Conversational Artificial Intelligence (AI) Market Segment Insights




  • Conversational Artificial Intelligence (AI)Component Insights




The conversational artificial intelligence (AI) market segmentation, based on component includes solutions, services, support, training, consulting, maintenance and implementation. In 2022, the solution sub-segment dominated the worldwide conversational AI market, and it is predicted that this dominance will last the entire forecast period. Artificial intelligence (AI) conversational solutions involve communication between chatbots and human users. The prospect of revolutionizing the employee and customer experience is very high with these technologies. ly, a lot of businesses are implementing conversational AI solutions to boost productivity, promote growth, and improve customer service.


Conversational Artificial Intelligence (AI) type Insights


The conversational artificial intelligence (AI) market segmentation, based on type, includes intelligent virtual assiant and chatbots. The conversational AI market was dominated by the chatbots sub-segment in 2022. Across a variety of industries, including BFSI, healthcare, education, e-commerce, and others, chatbots are rapidly gaining popularity. Chatbots assist in addressing customer inquiries and finishing duplicate tasks to increase employee productivity and deliver the finest services possible to clients.


Figure 2: Conversational Artificial Intelligence (AI) Market, by type, 2022 & 2030 (USD billion)


Conversational Artificial Intelligence (AI) Market, by type, 2022 & 2030


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Conversational Artificial Intelligence (AI) Organization size Insights


The conversational artificial intelligence (AI) market data, based on organization size include large scale and small scale organisation. It is projected that the large organizations sub-segment will continue to rule the worldwide conversational AI market throughout the forecast period. More often than small businesses, large businesses are implementing cutting-edge technologies. In the recent years, larger firms have boosted their budgets to invest in cutting-edge technology like conversational AI, modernize outdated infrastructure, and implement security measures. For installing and managing cutting-edge technologies, larger businesses frequently have greater resources. Budgets and resources for small and medium-sized businesses (SMEs) are typically allocated to address urgent issues.


Conversational Artificial Intelligence (AI) Web-Based Insights


The conversational artificial intelligence (AI) industry, based on web-based, include telephonic, web based and app-based. The web-based segment has a significant market share. A web-based application is any program that is accessible over HTTP over a network connection rather than being stored in a device's memory. Web-based apps are frequently run within a web browser. However, web-based programs can also be client-based, in which a tiny portion of the software is downloaded to the user's desktop but processing is done on an external server through the internet.


Conversational Artificial Intelligence (AI) Regional Insights


By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. In 2022, North America will dominate the worldwide conversational AI industry. The presence of key businesses in this region, as well as increased digitization spending by enterprises in many industries, has contributed significantly to the increase in demand for conversational AIs in this region. Numerous North American businesses are increasingly investing in cutting-edge technologies like conversational AI to improve customer experience.


Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.


Figure 3: CONVERSATIONAL ARTIFICIAL INTELLIGENCE (AI) MARKET SHARE BY REGION 2022 (%)


CONVERSATIONAL ARTIFICIAL INTELLIGENCE (AI) MARKET SHARE BY REGION 2022


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Europe’s conversational artificial intelligence (AI) market accounts for the second-largest market share due to the growing demand to reduce enterprise workloads related to customer engagement and retention is driving the adoption of conversational Al solutions in Europe. Further, the German conversational artificial intelligence (AI) market held the largest market share, and the UK conversational artificial intelligence (AI) market was the fastest growing market in the European region


The Asia-Pacific Conversational Artificial Intelligence (AI) Market is expected to grow at the fastest CAGR from 2023 to 2030. This is due to enterprises' growing knowledge of new customer support services and technologies. Moreover, China’s conversational artificial intelligence (AI) market held the largest market share, and the Indian conversational artificial intelligence (AI) market was the fastest growing market in the Asia-Pacific region.


Conversational Artificial Intelligence (AI) Key Market Players & Competitive Insights


Leading market players are extensively spending in R&D to increase their product lines, which will help the conversational artificial intelligence (AI) market grow even more. Important market developments include new product releases, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other firms. To expand and thrive in a more competitive and expanding market climate, conversational artificial intelligence (AI) industry must offer cost-effective items.


Producing locally to reduce operating costs is a fundamental business strategy utilized by manufacturers in the conversational artificial intelligence (AI) industry to serve customers and expand the market sector. In recent years, the conversational artificial intelligence (AI) industry has provided some of the most significant benefits to medicine. Major players in the conversational artificial intelligence (AI) industry, such as Artificial Solutions, Avaamo Technologies Pvt Ltd., Conversica Inc., Haptik, Solvvy, Pypestream, and Creative Virtual Ltd., are expanding their market penetration and enhancing their company presence.


Nvidia Corporation is a worldwide technology firm based in Santa Clara, California that was founded in Delaware. It is a software and fabless firm that creates graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing, and system on a chip (SoC) units for the mobile computing and automotive markets. In May 2020, NVIDIA unveiled NVIDIA Jarvis, a GPU-accelerated application framework and its new conversation AI solution. It enables companies to create cutting-edge conversational AI services that are specifically tailored for their consumers, sector, and goods using speech and video data.


Google Cloud Platform (GCP) is a set of cloud computing services supplied by Google that runs on the same infrastructure that Google uses internally for its end-user products such as Google Search, Gmail, Google Drive, and YouTube. [disagreed - debate] It offers a variety of modular cloud services, including computing, data storage, data analytics, and machine learning, in addition to a set of management tools. In March 2021, Vertex Al, a managed machine learning (ML) platform that allows businesses to accelerate the deployment and maintenance of artificial intelligence (AI) models, has been made generally available by Google Cloud.


Key Companies in the conversational artificial intelligence (AI)market include




  • Google LLC




  • Microsoft Corporation




  • IBM Corporation




  • Oracle Corporation




  • Amazon Web Services




  • Nuance Communications




  • Baidu Inc.




  • SAP SE




  • Facebook Inc.




  • Artificial Solutions




  • Avaamo Technologies Pvt Ltd.




  • Conversica Inc.




  • Haptik




  • Solvvy




Conversational Artificial Intelligence (AI) Industry Developments


A more advanced version of Google's conversational AI service, Bard, with more features, which would compete with Microsoft-backed ChatGPT, is apparently getting ready to launch in 2023. Bard, which was introduced in February, seeks to provide novel ways for users to interact with information, including text, photos, videos, and audio. Experts in the field have claimed that, in contrast to ChatGPT, which went live last year, the platform has not attracted as many users.


To deliver next-generation Conversational AI solutions to Avaya's substantial global base of contact centre clients, Cognigy, the market leader in Conversational AI, today announced at Enterprise Connect 2023 an expanded partnership with Avaya, a leading global in solutions to enhance and simplify communications and collaboration.


Cognigy's revolutionary Conversational AI and Generative AI solutions, which are integrated with the Avaya Experience Platform, will allow Avaya customers to develop next-generation customer experiences while boosting productivity and boosting staff engagement.


Conversational Artificial Intelligence (AI) Market Segmentation


Conversational Artificial Intelligence (AI) By Component Outlook




  • Solutions




  • Services




  • Support




  • Training




  • Consulting




  • Maintenance




  • Implementation




Conversational Artificial Intelligence (AI) By Type Outlook




  • Intelligent virtual assiant




  • Chatbots




Conversational Artificial Intelligence (AI) Market By Organization Size Outlook




  • Large scale




  • Small scale orgnisation




Conversational Artificial Intelligence (AI) Market By Web-Based Outlook




  • Telephonic




  • Webb based




  • App-based




Conversational Artificial Intelligence (AI) Regional Outlook




  • North America







    • US




    • Canada







  • Europe







    • Germany




    • France




    • UK




    • Italy




    • Spain




    • Rest of Europe







  • Asia-Pacific







    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific







  • Rest of the World







    • Middle East




    • Africa




    • Latin America




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