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Call Center AI Market Size | Industry Report, 2022 – 2027
The call center AI vendors offer AI-based platforms, software tools, and services that utilize speech-based assistants and facilitate stronger interactions and greater engagement at scale across key industries.

Call Center AI Market is projected to grow from USD 1.6 billion in 2022 to USD 4.1 billion by 2027; it is expected to grow at a CAGR of 21.3% % during 2022–2027 according to report published by MarketsandMarkets. AI can provide call center agents with robust historic data and insights about a customer, empowering agents to deliver cross-selling and up-selling opportunities. Organizations can also leverage AI-enabled chatbots and virtual agents to automate repetitive and manual processes, such as order placement, balance inquiries, general inquiries, technical assistance, and other customer services.

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The solutions segment to hold a larger market size during the forecast period

Based on components, the market size of the solutions segment is expected to hold a larger market share in 2022, while the services segment is projected to grow at a higher CAGR during the forecast period. Call center AI solutions ensure the strengthening of customer relationships, resulting in increased first call resolution rate and improved customer experience. Call center AI solutions ensure the strengthening of customer relationships, resulting in increased first call resolution rate and improved customer experience.

The SMEs segment is estimated to have a higher CAGR during the forecast period

The SMEs segment is projected to register a higher CAGR during the forecast period due to the growing need to enhance business processes, reach new customers, stay competitive and control their spending. Moreover, the growing need to enhance business processes, reach new customers, stay competitive, and control their spending to boost the growth of the call center AI solutions among SMEs.

The cloud segment is expected to have a higher CAGR during the forecast period

Based on deployment, the cloud segment is expected to have a higher CAGR during the forecast period. The cloud technology benefit of easy deployment and minimal capital requirement facilitates the adoption of the cloud deployment model. The increasing demand for scalable, easy-to-use, and cost-effective solutions is expected to boost the demand for cloud-based call center AI in the market. Call Center AI solutions are expected to accelerate the growth of the cloud segment in the call center AI market. Moreover, cloud-based call center AI solutions enable business operations to improve employee productivity and save OPEX. Hence, the cloud-based deployment mode is gaining traction in the coming years.

The workforce optimization segment is expected to have the highest CAGR during the forecast period

Based on application, The market size of the workforce optimization segment is estimated to be the largest as the rising need to train, schedule, and monitor the employee’s performance and effectively manage agent performance would drive the growth of the workforce optimization application in the market.

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Based on regions, the North America is expected to hold the largest market share during the forecast period

Based on Region, North America is expected to hold the largest market share as in North America call center AI solutions and services are highly effective in most organizations and verticals due to the increasing need to provide businesses with a way to operationalize and get more value from data assets. The increased smartphone adoption and technological advancements in the call centers boost the adoption across North America.

Key players offering Call Center AI market are IBM (US), Microsoft (US), Oracle (US), AWS (US), SAP (Germany), Google (US), Avaya (US), NICE (Israel), Nuance Communications (US), Genesys (US), 8x8 (US), Artificial Solutions (Sweden), Zendesk (US), Five9 (US), RingCentral (US), Talkdesk (US), Dialpad (US), Twilio (US), Kore.ai (US), Inbenta (US), Creative Virtual (UK), Haptik (India), Rulai (US), Pypestream (US), Avaamo (US), Senseforth.ai (US), Observe.AI (US), Yellow.ai (US), Ultimate.ai (Germany), and Cognigy (Germany).

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