Global Speech analytics report from Global Insight Services is the single authoritative source of intelligence on Speech analytics 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.
Speech analytics is the process of analyzing recorded speech to extract information and insights. It can be used to understand customer sentiment, identify customer needs, and uncover trends and patterns.
Speech analytics can be used to improve customer service by identifying areas where customers are struggling and need assistance. It can also be used to improve marketing and sales efforts by understanding what customers are saying about your product or service.
Speech analytics can be used to monitor compliance with regulations, such as call recording laws. It can also be used to improve the accuracy of voice recognition systems, such as voice-activated assistants.
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Market Segments
By Deployment
- On-Premise
- On-Demand
By Size of Organization
- Small and Medium Enterprises
- Large Enterprises
Key Players : NICE, Micro Focus, Verint, Avaya, OpenText, Google, Vonage, ,Genesys Calabrio, CallMiner
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Key Drivers
Some of the key drivers of the speech analytics market are the increasing adoption of cloud-based solutions, the need for improved customer experience, and the need for cost-effective solutions.
The adoption of cloud-based solutions is increasing due to the flexibility and scalability they offer. Cloud-based solutions are also easier to deploy and manage than on-premise solutions.
The need for improved customer experience is driven by the need to increase customer loyalty and retention. Speech analytics can help organizations to identify customer pain points and address them.
The need for cost-effective solutions is driven by the need to improve organizational efficiency and reduce operating costs. Speech analytics can help organizations to automate processes and reduce the need for manual intervention.
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