The global AI for customer service market size was valued at USD 12.10 billion in 2024. The market is projected to grow from USD 15.12 billion in 2025 to USD 117.87 billion by 2034, exhibiting a CAGR of 25.6% from 2025 to 2034.
AI for customer service refers to the use of artificial intelligence (AI) technologies, such as chatbots and virtual assistants, to handle customer inquiries and provide support. It helps automate responses, improve efficiency, and offer personalized experiences, enhancing customer satisfaction.
Customers today expect to receive help anytime, anywhere, and AI for customer service meets this demand by offering round-the-clock support. AI-powered solutions, such as chatbots and virtual assistants, instantly respond to customer queries without human involvement. This ensures that customers are never left waiting for assistance, even during off-hours. Whether it's late at night or during holidays, AI allows businesses to provide continuous service, improving customer satisfaction. The ability to resolve issues anytime leads to enhanced customer loyalty and a better overall experience, contributing to the AI for customer service market growth.
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AI-powered customer service solutions help businesses cut costs by reducing the need for a large human workforce. Instead of employing multiple agents to handle customer inquiries, AI tools like chatbots handle repetitive tasks and basic questions. This automation reduces operational expenses, as AI handles a high volume of queries simultaneously. Additionally, AI reduces training costs since systems are continuously updated with new information without the need for retraining staff. Consequently, businesses are able to maintain high-quality service while significantly lowering customer service-related costs. These cost benefits are driving the AI customer service technology adoption, thereby propelling AI for customer service market revenue.
The volume of customer inquiries and orders is increasing as e-commerce businesses expand, making it difficult for human agents to manage everything efficiently. For instance, according to the Government of India Economic Survey, the e-commerce market in India was valued at USD 83 billion in 2023, showcasing the rapid growth of the sector within the country. AI-powered tools like chatbots and automated response systems help handle this high volume, offering instant support, answering frequently asked questions, and assisting with order tracking. Additionally, AI solutions improve customer experience by providing fast and accurate responses around the clock. Thus, the rapid growth of the e-commerce sector is fueling the AI for customer service market expansion.
Natural Language Processing (NLP) has made substantial strides, allowing AI to understand and respond to human language more accurately and naturally. Modern NLP capabilities enable AI-powered systems to interpret customer queries, even if they are phrased in complex or varied ways. This improves the quality of interactions, as AI better understands nuances such as tone, intent, and emotion. NLP allows chatbots to engage in more human-like conversations, providing more relevant responses. These improvements in NLP technology have made AI-driven customer service tools more effective, reliable, and able to handle a wider range of customer inquiries, thereby driving its adoption in various sectors and contributing to AI for customer service market development.
The AI for customer service market segmentation, based on product, includes chatbots and virtual assistants, AI-driven ticketing system, sentiments and feedback analysis tools, recommendation systems, and others. The chatbots and virtual assistants segment is expected to witness the fastest growth during the forecast period due to their ability to improve customer interaction and streamline support. Businesses are increasingly adopting chatbots and virtual assistants to manage large volumes of customer interactions efficiently, ensuring quick responses and personalized service. These AI-driven tools understand customer queries, provide relevant answers, and assist with a variety of tasks, all without human intervention.
The AI for customer service market evaluation, based on technology, includes generative AI and others. The generative AI segment dominated the AI for customer service market in 2024. Generative AI uses advanced algorithms to create personalized and contextually relevant responses, improving the quality of customer interactions. This technology allows AI systems to engage in more natural, human-like conversations by understanding and generating responses based on customer queries. It is particularly effective for handling complex or nuanced requests, providing more accurate and helpful solutions. Generative AI is becoming the go-to technology as businesses seek to improve customer experience with advanced AI capabilities, leading the segmental growth in the AI for customer service market.
By region, the study provides the AI for customer service market insights into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. In 2024, North America dominated the global market due to the presence of a large number of businesses that require efficient customer support. Many industries in the region, including retail, finance, healthcare, and technology, rely on customer service to maintain strong customer relationships and stay competitive. AI-powered solutions, like chatbots and virtual assistants, help these businesses handle high volumes of inquiries quickly and cost-effectively. Companies in North America are increasingly turning to AI to improve service quality as customer expectations for faster, 24/7 support continue to rise, thereby driving regional market growth.
Asia Pacific is expected to hold a significant market share during the forecast period due to the region's expanding digital economy and tech-savvy population. Countries such as China, India, and Japan are increasingly adopting AI-driven solutions to improve customer service across various industries, including e-commerce, banking, and AI in telecommunications. AI tools such as chatbots and virtual assistants are helping businesses handle a high volume of customer queries efficiently, improving response times and customer satisfaction. The demand for AI-powered customer service solutions is rising as more companies in the Asia Pacific focus on improving customer experience and reducing operational costs, thereby driving regional market expansion.
The India AI for customer service market is experiencing substantial growth due to the rise of the quick-commerce (Q-commerce) sector. Q-commerce focuses on delivering products quickly, often within hours, requiring efficient customer support to maintain satisfaction. AI-powered solutions like chatbots and virtual assistants help businesses handle high volumes of customer inquiries, track orders, and provide instant assistance 24/7. The need for fast and reliable customer service becomes even more important as Q-commerce companies expand, driving the market growth in India.
The AI for customer service market is constantly evolving, with numerous companies striving to innovate and distinguish themselves. Leading global corporations dominate the market by leveraging extensive research and development, and advanced techniques. These companies pursue strategic initiatives such as mergers and acquisitions, partnerships, and collaborations to enhance their product offerings and expand into new markets.
New companies are impacting the market by introducing innovative products to meet the demand of specific market sectors. This competitive environment is amplified by continuous progress in product offerings. Major players in the AI for customer service market include Microsoft, IBM, Google, AWS, Salesforce, Atlassian, SAP, ServiceNow, Zendesk, OpenAI, and Sprinkler.
Microsoft is a multinational technology company headquartered in Redmond, Washington. Microsoft offers various products and services, including operating systems, productivity software, gaming consoles, and cloud-based solutions. Its flagship product, Microsoft Windows, is the world's most widely used operating system. Other popular products include Microsoft Office, Skype, and the Xbox gaming console. Microsoft has invested heavily in AI and machine learning technologies in recent years to solve the world's most pressing problems, such as climate change, healthcare, and education. The company has been using AI to improve its products and services and developing new AI-based applications. For instance, Microsoft's Cortana virtual assistant uses learning to provide personalized recommendations and insights to users. Its Azure Machine Learning platform allows developers to build, deploy, and manage machine learning models at scale. Microsoft’s Dynamics 365 Customer Service, which uses AI to automate tasks and provide omnichannel insights, helps businesses improve resolution times, personalize customer experiences, and reduce costs with a scalable platform. The company also offers AI tools for healthcare, such as Microsoft Healthcare Bot, which helps patients get answers to their health-related questions. Furthermore, Microsoft is actively involved in AI research and development and has established partnerships with leading universities and research institutions worldwide.
International Business Machines Corporation (IBM) is an American multinational technology company operating in over 75 countries. IBM Watson, which was started in 2010, is a supercomputer that uses Digital Workplace (AI) and advanced analytical tools to operate optimally as a "question-answering" machine. For businesses and organizations, IBM Watson helps optimize employees' time, automate complex processes, and predict future outcomes. IBM also provides Watsonx Orchestrate, which empowers teams to build and deploy AI chatbots that understand complex customer queries. It streamlines business processes, enhances customer interactions, and scales conversational AI across channels.
By Product Outlook (Revenue, USD Billion, 2020–2034)
By Technology Outlook (Revenue, USD Billion, 2020–2034)
By Customer Interaction Channel Outlook (Revenue, USD Billion, 2020–2034)
By Deployment Mode Outlook (Revenue – USD Billion, 2020–2034)
By End User Outlook (Revenue, USD Billion, 2020–2034)
By Regional Outlook (Revenue, USD Billion, 2020–2034)
Report Attributes |
Details |
Market size value in 2024 |
USD 12.10 billion |
Market size value in 2025 |
USD 15.12 billion |
Revenue Forecast by 2034 |
USD 117.87 billion |
CAGR |
25.6% from 2025–2034 |
Base year |
2024 |
Historical Data |
2020–2023 |
Forecast Period |
2025–2034 |
Quantitative Units |
Revenue in USD billion and CAGR from 2025 to 2034 |
Report Coverage |
Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
Segments Covered |
|
Regional Scope |
|
Competitive Landscape |
|
Report Format |
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Customization |
Report customization as per your requirements with respect to countries, regions, and segmentation. |
• The AI for customer service market size was valued at USD 12.10 billion in 2024 and is projected to grow to USD 117.87 billion by 2034.
• The global market is projected to register a CAGR of 25.6% from 2025 to 2034.
• North America had the largest share of the global market in 2024.
• A few of the key players in the market are Microsoft, IBM, Google, AWS, Salesforce, Atlassian, SAP, ServiceNow, Zendesk, OpenAI, and Sprinkler.
• The generative AI segment dominated the AI for customer service market in 2024 as it improves the quality of customer interactions by creating personalized responses.
• The chatbots and virtual assistants segment is expected to witness the fastest growth during the forecast period due to their ability to improve customer interaction and streamline support.