Global Conversation intelligence software report from Global Insight Services is the single authoritative source of intelligence on Conversation intelligence software market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Conversation intelligence software is a type of software that is designed to help businesses track and analyze customer interactions. This type of software can be used to help businesses improve customer service, sales, and marketing efforts. Conversation intelligence software can also be used to help businesses identify areas where they may need to make improvements.
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Market Segmentation
The Conversation Intelligence Software Market is segmented by type, technology, end-user, and region. By type, the market is divided into IVA and chatbots. By technology, the market is bifurcated into machine learning, deep learning, NLP, and automated speech recognition. By end-user, the market is classified into BFSI, telecom, media & entertainment and others. By region, the market is classified into North America, Europe, Asia-Pacific, and rest of the world.
Key Players
The key players in the Conversation Intelligence Software Market are Amazon Web Services, Inc. , Artificial Solutions Holding ASH AB, Baidu, Inc., Conversica Inc., Haptik, IBM Corporation, Microsoft Corporation, Oracle Corporation, Google LLC and SAP ERP.
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Key Drivers
There are a few key drivers of Conversation Intelligence Software market. First, is the need for companies to have better customer service. With the rise of online customer service, it is becoming more important for companies to be able to quickly and easily understand customer sentiment.
Second, is the need for companies to be able to better understand their sales teams. With the rise of remote work, it is becoming more important for companies to be able to understand how their sales teams are interacting with customers.
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