PUBLISHER: Fortune Business Insights Pvt. Ltd. | PRODUCT CODE: 1930182
PUBLISHER: Fortune Business Insights Pvt. Ltd. | PRODUCT CODE: 1930182
The global enterprise conversational Generative AI (GenAI) market was valued at USD 19.31 billion in 2025 and is projected to grow to USD 24.90 billion in 2026, ultimately reaching USD 176.74 billion by 2034, representing a CAGR of 27.76% during the forecast period. North America dominated the market in 2025 with a share of 40.59%, reflecting the region's strong AI adoption and technological infrastructure.
The market growth is fueled by the rapid adoption of AI solutions globally, supported by government initiatives and significant investments aimed at fostering AI adoption. By 2025, generative AI is expected to generate around 10% of all global data, highlighting the sector's rapid expansion. Investor interest is equally robust, with more than 210 generative AI startups emerging in 2023, and funding reaching USD 2,654 million across 110 deals.
Investments Landscape & Funding Scenario
Investments in enterprise conversational GenAI play a crucial role in market growth. In 2023, global generative AI funding surged to USD 29.1 billion across nearly 700 deals, marking a 260% increase from 2022. These funds enable:
Notable funding includes Kore.ai's USD 150 million round in January 2024 and Rasa's USD 30 million Series C in February 2024, which support innovations in enterprise conversational AI platforms.
Market Dynamics
Drivers: The rise of omnichannel communication has driven the adoption of conversational GenAI, enabling seamless, personalized interactions across websites, apps, social media, and voice assistants. For instance, Bank of America's AI assistant, Erica, handled 2 billion interactions by 2024, resolving 98% of queries within 44 seconds.
Restraints: Market growth is challenged by the risk of misuse and manipulation of AI chatbots, as seen in 2023 when a Chevrolet dealership chatbot was exploited to quote a USD 76,000 vehicle for USD 1. Prompt injections and adversarial attacks can generate inappropriate or biased responses, impacting trust.
Opportunities: Conversational GenAI's multilingual support creates significant opportunities. In December 2024, CoRover.ai partnered with Persistent Systems to deliver AI-powered multilingual platforms, enhancing global customer engagement and operations.
Market Trends
Low-code/no-code platforms are accelerating market growth by enabling enterprises to build AI-driven applications without extensive coding expertise. By 2025, nearly 70% of new business applications are expected to be developed using low-code/no-code platforms, up from 25% in 2020.
Competitive Landscape
Key players such as Microsoft, Salesforce, Amazon, OpenAI, Kore.ai, Rasa, and Jio Haptik are expanding through mergers, acquisitions, and technological innovations. Notable developments include Avaamo Agents (March 2025), Kore.ai AI for Process (January 2025), and Amazon Lex ASR-2.0 (December 2024), focusing on improving productivity, efficiency, and multilingual capabilities.
Conclusion
The enterprise conversational GenAI market is on a rapid growth trajectory, driven by omnichannel communication, low-code platforms, and investment in advanced AI technologies. With North America leading adoption, Europe and Asia Pacific showing rapid growth, and BFSI and healthcare sectors spearheading applications, the market is set to reach USD 176.74 billion by 2034. Despite challenges such as AI misuse, the market presents immense opportunities in multilingual support, automated processes, and innovative customer engagement, making enterprise conversational GenAI a transformative force across industries.
Segmentation By Type, Technology, Deployment, Business Function, Industry, and Region
Segmentation By Type
By Technology
By Deployment
By Business Function
By Industry
By Region
Companies Profiled in the Report Cognigy (Germany), Kore.ai (U.S.), Avaamo (U.S.), Salesforce, Inc. (U.S.), Five9, Inc.(U.S.), Microsoft Corporation (U.S.), Google LLC (U.S.), Amazon.com, Inc.,(U.S), Jio Haptik Technologies Ltd (India), Open AI (U.S.), and Others.