Call Center AI Market valued over US$ 1.456 billion in 2022, to experience significant growth

February 14, 2024 12:13 AM AEDT | By EIN Presswire
 Call Center AI Market valued over US$ 1.456 billion in 2022, to experience significant growth
Image source: EIN Presswire
NOIDA, UTTAR PRADESH, INDIA, February 13, 2024 /EINPresswire.com/ -- According to a new report published by Knowledge Sourcing Intelligence, forecasted between 2022 and 2029, Call center AI market was valued at US$1.456 billion in 2022.

Call Center AI enables social media platforms to improve customer service by automating responses to user queries as this technology can quickly analyze and comprehend customer concerns, delivering precise solutions and growing social media users is a major driving force contributing to the growth of the call center AI market. For instance, according to the Cisco Annual Internet Report, there are 5.3 billion internet users (66 % of the world's population) in 2023, an increase from 3.9 billion (51 %) in 2018.

Call Center AI is a cutting-edge technology that is transforming the way contact centers handle customer interactions. It uses AI and machine learning algorithms to automate and improve various aspects of customer service. Additionally, increasing attention to AI technology contributed to the growth of the call center AI market.

Numerous product launches and collaborations are taking place in the market, accelerating the growth of the call center AI market. For instance, in March 2022, Google Cloud announced the launch of the Google Cloud Contact Center AI Platform, an extension of Contact Center AI that provides an out-of-the-box, end-to-end solution for contact centers. It combines the benefits of AI, cloud scalability, multi-experience capabilities, and tight integration with CRM (customer relationship management) platforms to connect sales, marketing, and support teams around data across the entire customer journey. Additionally, in July 2022, Laivly, a market leader in AI and automation for contact centers, announced the release of its attended AI platform which is designed to easily and rapidly modernize call centers.

Access sample report or view details: https://www.knowledge-sourcing.com/report/call-centre-ai-market

The call center AI market, based on components is segmented into four main categories namely solutions, services, professional services, and managed services. Professional services are widely used in call center AI as these services are provided by experienced engineers and technicians to ensure the smooth implementation and effective use of call center AI, optimizing performance and increasing customer satisfaction. Call centers are critical touchpoints for businesses, frequently serving as the primary point of contact with customers, and implementing AI technologies in call centers allows businesses to automate routine tasks, optimize workflows, and offer consistent and efficient customer service. Professional services account for a major share of the call center AI market.

The call center AI market, based on deployment is segmented into two main categories namely cloud, and on-premises. Cloud deployment is widely used as it involves hosting the AI solution on remote servers that can be accessed through the Internet. It provides greater scalability, flexibility, and ease of maintenance, making it a popular choice among numerous businesses. Cloud deployment allows call centers to quickly adopt and integrate AI technologies into their existing infrastructure without making significant upfront investments and account for a significant share of the call center AI market.

The call center AI market, based on enterprise size is segmented into two main categories namely large, and SMEs. Large enterprises widely utilize call center AI as AI-powered call centers can effectively handle a high volume of customer inquiries. With advanced natural language processing capabilities, these systems can understand and respond to customer queries in real time, reducing wait times and increasing customer satisfaction which is crucial in large businesses. Additionally, call center AI can provide personalized and consistent customer experiences in large enterprises by accessing and analyzing massive amounts of customer information. Large enterprises account for a significant share of the call center AI market.

The call center AI market, based on application is segmented into six main categories namely predictive call routing, journey orchestration, quality management, sentiment analysis, workforce management & advanced scheduling, and others. Predictive call routing is a widely used application in call center AI. Predictive call routing ensures that customer inquiries are intelligently routed to the appropriate agents based on factors such as skills, availability, and customer history, thereby increasing efficiency and reducing wait times and accounting for a significant portion of the call center AI market.

North America is anticipated to account for a significant share of the call center AI market due to increasing social media users, driven by the rising internal users in the major economies in the region. For instance, according to the Central Intelligence Agency, in 2021, there were 312.8 million internet users approximately 92% of the United States population. Additionally, the presence of significant global suppliers in the North American region, such as IBM, Google, Microsoft, and AWS, helps to facilitate the seamless usage and integration of cutting-edge conversational AI technology throughout contact centers.

The research includes coverage of IBM, NICE, Zendesk, Bright Pattern, SmartAction LLC, SAP, Oracle, and Avaya Inc. are significant market players in the call center AI market.

The market analytics report segments the call center AI market as follows:

• By Component

o Solution
o Services
o Professional services
o Managed Services

• By Deployment

o Cloud
o On-premises

• By Enterprise Size

o Large
o SMEs

• By Application

o Predictive Call Routing
o Journey Orchestration
o Quality Management
o Sentiment Analysis
o Workforce Management & Advanced Scheduling
o Others

• By Geography

o North America

• United States
• Canada
• Mexico

o South America

• Brazil
• Argentina
• Others

o Europe

• United Kingdom
• Germany
• France
• Spain
• Others

o Middle East and Africa

• Saudi Arabia
• UAE
• Israel
• Others

o Asia Pacific

• Japan
• China
• India
• South Korea
• Indonesia
• Thailand
• Others

Companies Profiled:

• IBM
• NICE
• Zendesk
• Bright Pattern
• SmartAction LLC
• SAP
• Oracle
• Avaya Inc.

Explore More Reports:

• Conversational AI Market: https://www.knowledge-sourcing.com/report/conversational-ai-market

• Generative AI Market: https://www.knowledge-sourcing.com/report/generative-ai-market

• Mobile Artificial Intelligence Market: https://www.knowledge-sourcing.com/report/mobile-artificial-intelligence-market

Ankit Mishra
Knowledge Sourcing Intelligence
+1 850-250-1698
[email protected]
Visit us on social media:
Facebook
Twitter
LinkedIn


Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (“Kalkine Media, we or us”), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary.
The content published on Kalkine Media also includes feeds sourced from third-party providers. Kalkine does not assert any ownership rights over the content provided by these third-party sources. The inclusion of such feeds on the Website is for informational purposes only. Kalkine does not guarantee the accuracy, completeness, or reliability of the content obtained from third-party feeds. Furthermore, Kalkine Media shall not be held liable for any errors, omissions, or inaccuracies in the content obtained from third-party feeds, nor for any damages or losses arising from the use of such content.
Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyrighted to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have made reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.
This disclaimer is subject to change without notice. Users are advised to review this disclaimer periodically for any updates or modifications.


AU_advertise

Advertise your brand on Kalkine Media

Sponsored Articles


Investing Ideas

Previous Next
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.