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Conversational Artificial Intelligence Market Trends, Revenue, Key Players, Growth, Share And Forecast Till 2028
The Global Conversational Artificial Intelligence Market Research Report provides a brief overview inclusive of the competitive landscape and key developments, policies, manufacturing costs, and processes. The report also provides the analysis of import/export, production and consumption ratio, supply and demand, cost, price, estimated revenue, and gross margins. The report further discusses in detail the driving factors influencing the growth of the market currently and in the coming years.
The global conversational Artificial Intelligence (AI) market size reached USD 4.91 Billion in 2020 and is expected to register a CAGR of 22.6%, during the forecast period, according to latest analysis by Emergen Research. Rising demand for Artificial Intelligence-driven customer support services is expected to drive global conversational AI market revenue growth over the forecast period. Increasing implementation of conversational AI chatbots in the automotive industry is expected to augment global conversational AI market growth going ahead. One of the most prominent trends in the market is increasing application of chatbots to ...
... retain employees. AI-powered chatbots assist businesses in delivering useful details about an employee's level of engagement that can result in a lower churn rate, which is expected to boost the market growth going ahead.
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The report also profiles established and emerging players of the market, covering the business overview, product portfolio, strategic alliances, and business expansion strategies.
Key players in the market include Google LLC, Microsoft Corporation, Oracle Corporation, International Business Machines Corporation, Baidu Inc., Nuance Communications Inc., SAP SE, Conversica Inc., Inbenta Technologies Inc., and Avaamo Inc.
Objectives of the Report:
Industrial structure analysis of the Conversational Artificial Intelligence market by identification of various sub-segments
Extensive analysis of key market players along with their SWOT analysis
Competitive landscape benchmarking
Analysis of Conversational Artificial Intelligence market based on growth trends, futuristic outlook, and contribution to the total growth of the market
Analysis of drivers, constraints, opportunities, challenges, and risks in the global Conversational Artificial Intelligence market
Comprehensive analysis of competitive developments such as expansions, agreements,
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The report studies the historical data of the Conversational Artificial Intelligence Market and offers valuable information about the key segments and sub-segments, revenue generation, demand and supply scenario, trends, and other vital aspects.
Emergen Research has segmented the global conversational AI market on the basis of deployment, component, type, technology, end-use, and region:
Deployment Outlook (Revenue, USD Billion; 2018–2028)
On-Premises
Cloud
Component Outlook (Revenue, USD Billion; 2018–2028)
Service
Platform
Type Outlook (Revenue, USD Billion; 2018–2028)
Intelligent Virtual Assistants
Chatbots
Technology Outlook (Revenue, USD Billion; 2018–2028)
Natural Language Processing
Automated Speech Recognition
Machine Learning
Deep Learning
End-use Outlook (Revenue, USD Billion; 2018–2028)
Healthcare
Media & Entertainment
Automotive
E-Commerce
Retail
BFSI
Telecom
Others
The complete regional analysis covers:
North America (U.S., Canada, Mexico
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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Key Points of Conversational Artificial Intelligence Market:
The service segment is expected to lead in terms of revenue over the forecast period due to rising adoption rate of conversational AI platform across various sectors for providing improved customer service is increasing demand for services.
Increasing implementation of chatbots with social media networks is expected to drive revenue growth of the chatbots segment, which is expected to lead in terms of revenue contribution to the global conversational AI market during the forecast period.
The machine learning segment is expected to lead in terms of revenue over the forecast period due to rising integration of machine learning with conversational AI platforms.
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