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P&S Intelligence says that due to the increasing penetration of chatbots in customer support services, the conversational AI market will advance to $15.0 billion by 2024 from $3.2 billion in 2018, at a massive 30.2% CAGR between 2019 and 2024 (forecast period). AI-integrated chatbots talk to customers, gather data on them, and then accordingly redirect them to a human employee, thus quickening up the process and boosting its efficiency. AI chatbots also offer a personalized experience and help customers make better decisions regarding the purchase of a service or product.<br>
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How Conversational AI Market? is Increasing Need for Personalized Customer Services Driving The demand for personalized customer services is growing day by day. Since the competition in almost every industry is extreme these days, companies are focusing extensively on retaining existing customers. In order to provide customers with personalized services, organizations have started making use of artificial intelligence (AI) solutions, including conversational AI. The technology is the utilization speech-based assistants, messaging apps, and chatbots for automating communication and creating personalized customer experiences at scale. Conversational AI solutions allow long-running interactions with consumers through voice or text by making use of natural language. Get https://www.psmarketresearch.com/market-analysis/conversational-ai-market/report -sample the Sample Copy of this Report @ As per a report by P&S Intelligence, the global conversational AI market is expected to generate a revenue of more than $15.0 billion by 2024, rising from $3.2 billion in 2018, progressing at a 30.2% CAGR during the forecast period (2019–2024). The two major components of conversational AI technology are services, including system integration, support & maintenance, and training & consulting, and platform, between which, the demand for conversational AI platforms was higher in the past. Other than this, the demand for support and maintenance services is also projected to rise significantly in the coming years, which is due to upgrades and technical advancements and rising requirement for automation.
Conversational AI solutions can be deployed on-premised and on cloud. The demand for cloud-based deployment was higher in the past, owing to the rising need for easy maintenance, 24X7 service, and scalability. In addition, companies are increasingly utilizing cloud-based solutions for reducing their operational infrastructure costs and enhancing operational flexibility. Different conversational AI technologies are natural language processing (NLP), automated speech recognition, and machine learning, out of which, the demand for NLP technology was the highest in the past, as these solutions are able to train themselves on the basis of various interactions and support streamlining of the responses. Apart from this, the demand for machine learning technology is also expected to rise in the years to come. Machine learning technology aids conversational AI solutions learn from previous responses which are based on different queries. This, in turn, increases the capability of machines regarding answering questions. Conversational AI has number of applications, including onboarding & employee engagement, customer support, customer engagement and retention, personal assistant, and branding and advertisement. Among all these, the demand for conversational AI was the highest for personal assistant application in the past. Make https://www.psmarketresearch.com/send-enquiry?enquiry-url=conversational-ai-ma rket Enquiry Before Purchase @ This is ascribed to the wide usage of conversational AI solutions that act as a personal assistant, which understand open conversations, as they are converted into specific conversation, according to the needs of the user. Geographically, North America emerged as the largest conversational AI market in the past, which is owing to the presence major companies in the domain, including Google LLC, Microsoft
Corporation, and International Business Corporation, growing investments for integration of NLP and machine learning in current conversational AI solutions, swift technological advancements, and growing focus of governments on spending on AI-based technologies in the region. In conclusion, the demand for conversational AI is growing due to the increasing need for customer retention.