The Conversational AI by The Business Research Company provides a market overview across 60+ geographies in seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Conversational AI, The conversational ai market size has grown exponentially in recent years. It will grow from $9.43 billion in 2023 to $11.51 billion in 2024 at a compound annual growth rate (CAGR) of 22.1%. The growth in the historic period can be attributed to rise of messaging platforms, customer service automation, integration with business applications, user engagement and personalization.
The conversational ai market size is expected to see exponential growth in the next few years. It will grow to $26.88 billion in 2028 at a compound annual growth rate (CAGR) of 23.6%. The growth in the forecast period can be attributed to multimodal conversational interfaces, ai-powered voice assistants, industry-specific solutions, integration with virtual and augmented reality. Major trends in the forecast period include advancements in natural language processing (nlp), rise of virtual assistants and chatbots, integration with messaging platforms, multimodal conversations, voice-activated devices and smart speakers.
Increasing focus on customer engagement is expected to drive the conversational AI market. Customer engagement is the process of communicating with customers through various channels to strengthen relationships. Most businesses are focusing on increasing the customer experience to increase customer loyalty and revenue generation. According to the 2022 State of Customer Engagement Report published by Twilio, a US-based customer engagement platform for customized experiences, companies that invested in digital client engagement had revenue growth of 70% over the past two years. Conversational AI involves the use of messaging apps, speech-based assistants, and chatbots to automate conversation and provide personalized consumer engagement. Therefore, increasing focus on customer engagement will drive the conversational AI market growth.
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The conversational ai market covered in this report is segmented –
1) By Type: IVA, Chatbots
2) By Component: Platform, Services
3) By Deployment: Cloud, On-Premises
4) By Technology: Machine Learning, Deep Learning, NLP, Automated Speech Recognition
5) By End User: BFSI, Retail and E-commerce, Healthcare and Life Science, Travel and Hospitality, Telecom, Media and Entertainment, Other End-Users
Technological advancements in conversational AI are a key trend in the market. Companies operating in the conversational AI market have come up with various technological advancements such as no-code development technology, easier deployment, advanced machine learning and natural language processing technology to increase usage and adoption of conversational AI in industries with no technical background. For instance, in November 2021, ZeroShotBot, a chatbot builder based in the United States, released a new innovative conversational AI technology that democratizes chatbots for both large and small organizations. ZeroShotBot is an approach to constructing chatbots that can be scalable in hours and do not require training data, allowing anyone with no coding knowledge or training to create a fully functional chatbot.
The conversational ai market report table of contents includes:
1. Executive Summary
2. Conversational AI Market Characteristics
3. Conversational AI Market Trends And Strategies
4. Conversational AI Market – Macro Economic Scenario
5. Global Conversational AI Market Size and Growth
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31. Global Conversational AI Market Competitive Benchmarking
32. Global Conversational AI Market Competitive Dashboard
33. Key Mergers And Acquisitions In The Conversational AI Market
34. Conversational AI Market Future Outlook and Potential Analysis
35. Appendix
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