Technological Advancements Drive Growth in Conversational AI Market to $26.88 Billion by 2028

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.

Market Overview -
Conversational AI is a type of artificial intelligence that allows users to engage with computer applications, such as advanced chatbots or AI chatbots, similar to the way they would interact with other humans. Conversational artificial intelligence (AI) is used to respond to queries, resolve issues, collect information, conduct transactions, and deliver services more quickly and efficiently.

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Driving Conversational Ai Market Growth Through Enhanced Customer Engagement
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.

Competitive Landscape -
Major companies operating in the conversational ai market report are Google LLC, International Business Machines Corporation (IBM), Amazon Web Services Inc., Artificial Solutions Holding ASH AB, Baidu Inc., Haptik, Microsoft Corporation, Oracle Corporation, SAP SE, Conversica Inc., Nuance Communications Inc., Rasa Technologies GmbH, Avaamo Inc., Kore. ai Inc., Cognitivescale Inc., Kasisto Inc., Creative Virtual Ltd., Inbenta Technologies Inc., Next IT Corporation, Verint Systems Inc., 24/7 Customer Inc., Botpress, Chatfuel, Clinc Inc., DigitalGenius Inc., Exceed. ai, Interactions LLC, LivePerson Inc., Mindmeld Inc., Pypestream Inc.

Revolutionizing Conversational Ai With Technological Advancements For All Industries
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.

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Key Segments -
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

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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