The global market for generative AI in customer services will triple from $0.66 billion in 2025 to $1.95 billion by 2030, a compound annual growth rate of 23.5%, according to a new report from ResearchAndMarkets.com. The expansion, reaching an estimated $0.84 billion in 2026 alone, reflects how deeply automation and real-time analytics are reshaping support operations.
Immediate growth-a 27.9% rise between 2025 and 2026-is driven by the transformation of traditional call centers, the spread of NLP-backed chatbots, and the unrelenting demand for round-the-clock service. Customer support teams in IT, telecommunications, and BFSI are the earliest adopters, but the report flags travel and hospitality as a breakout sector. One projection cited in the findings: AI chatbots will handle 85% of hotel guest interactions by 2025.
What's propelling the next phase
Integration with CRM platforms and the push for hybrid cloud AI deployments head the list of mid-term catalysts. Companies want to embed generative AI directly into the tools agents already use, cutting latency and delivering personalized recommendations without switching dashboards. Real-time sentiment detection and predictive customer interaction analytics are also moving from pilot programs to production systems, enabling support leaders to flag churn risks during a live chat.
The report names North America as the largest market region in 2025, while Asia-Pacific is expected to grow fastest through 2030. Tariffs on AI hardware are raising costs in some Asian tech hubs, but the pressure is simultaneously accelerating investment in local infrastructure and hybrid cloud models that balance on-premise and public-cloud workloads.
Where the technology is landing inside support orgs
Chatbots and virtual assistants remain the most visible deployment, but the market encompasses automated email responses, fraud detection, and sentiment scoring. Cloud-based implementations dominate, with a mix of public, private, and multi-cloud setups; on-premise and hybrid versions serve enterprises with strict data residency rules. The report segments the market by industry-retail, BFSI, IT, telecom, travel, hospitality, and healthcare-each aligning generative AI to different workflows, from claims processing to concierge services.
Several large players are shaping the competitive landscape, including Amazon, Alphabet, Microsoft, IBM, and Salesforce. In April 2023, Ada released a generative AI customer service suite designed for personalization at scale. Ramp followed by acquiring Cohere.io to automate support-ticket responses using large language models. These moves reflect a broader shift toward AI-driven self-service that functions as a first line of defense, not a standalone gimmick.
For support leaders evaluating their next move, the report's analysis of total addressable market and attractiveness scoring offers a way to size opportunities beyond headline growth rates. Many teams are adopting AI for Customer Support to automate repetitive inquiries and free agents for complex cases.
Why this matters for customer support professionals
This data signals a structural shift: by 2030, generative AI will handle a material share of customer interactions that once required human agents. For support managers, that means staffing models, quality assurance frameworks, and agent training programs must account for a blended workforce where AI is the default triage tool. The professionals who learn to configure, monitor, and improve these AI pipelines will move from being cost-center operators to strategic experience leads in their organizations.
Your membership also unlocks:
