Call Center AI Revolution: Global Market Poised for Explosive Growth by 2030
The global call
center AI market will generate estimated USD 3,378.9 million revenue in 2024
and witness a CAGR of 25.0% during 2024–2030, reaching USD 12,910.6 million by
2030.
Artificial
Intelligence (AI) mimics human intelligence through computer systems,
encompassing processes like learning, reasoning, and problem-solving. The call
center AI market includes solutions that use speech assistants to resolve
issues. By integrating speech assistants with machine learning (ML), AI enables
the development of applications tailored to specific needs. Businesses are now
focusing on AI-based solutions like chatbots instead of traditional email and
messaging for problem resolution, as these provide real-time assistance and are
cost-effective.
AI enhances call
center efficiency by automating repetitive tasks, which boosts both customer
and employee satisfaction through improved work efficiency and shorter wait
times. Moreover, these AI solutions support human resources by quickly
resolving most customer issues and escalating more complex problems, which AI
might not handle, to human employees.
AI-powered systems
offer round-the-clock immediate assistance, ensuring that customer inquiries
are promptly addressed at any time, even outside regular business hours. These
solutions provide 24/7 customer support without needing human supervision.
Running a 24/7 call center operation incurs significant costs, requiring multiple agents working in different shifts. In contrast, AI-based chatbots can handle most queries, reducing the need for additional staffing and providing instant solutions to a wide range of consumer issues.
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Key Insights
l Services will grow fastest at a CAGR of 25.4% from 2024 to 2030, including support and training for effective AI technology usage in call centers.
l Solutions will dominate with a 70.0% market share in 2024, driven by increased complex buyer queries and reduced operational costs due to AI advancements.
l AI solutions help customer care executives build stronger client relationships and improve customer journey orchestration and first call resolution rates.
l Small and medium enterprises (SMEs) will grow fastest at a CAGR of 25.6% from 2024 to 2030, due to the increasing number of SMEs and their adoption of call center AI solutions.
l SMEs benefit from reduced implementation, maintenance, and upgrade costs, and easy data access and integration with legacy systems via cloud technology.
l Large enterprises will hold a 60.0% market share in 2024, due to extensive adoption of call center software for improved security, automatic recording, affordability, increased sales, and urgent call identification.
l Cloud deployment will be the largest mode with a 65.0% market share in 2024 and the fastest-growing at 25.5% CAGR, favored for its cost-effectiveness, scalability, and ease of use.
l Cloud-based call centers are cheaper to operate and offer flexibility in plans with a pay-per-use subscription model.
l Workforce optimization will be the largest application with a 20.0% market share in 2024, focusing on boosting productivity, efficiency, and agent quality.
l Predictive call routing will grow fastest with a 26.0% CAGR from 2024 to 2030, using machine learning algorithms to route visitors to appropriate departments.
l BFSI will be the largest category with a 30.0% market share in 2024 and the fastest-growing at 25.8% CAGR, due to AI-powered voice bots and virtual assistants enhancing customer service and call operations.
l Increasing customer demand for mobility and flexibility in banking transactions drives BFSI's adoption of AI-powered call centers.
l North America will be the largest region with a 50.0% market share in 2024, driven by new technology deployments and increased AI spending.
l U.S. companies' annual losses of over USD 100 billion from consumer switching emphasize the need for optimized customer services and early AI adoption in call centers.
l APAC will witness the highest CAGR of 25.7% from 2024 to 2030, driven by numerous call centers and IT companies, investments, and government digitalization initiatives.
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