The generative AI market is experiencing exponential growth, driven by increasing demand for advanced customer experiences, the rise of AI applications in IT and telecommunications, and the widespread adoption of AI-powered content creation tools. Valued at $14.1 billion in 2024, the market is projected to reach $18.5 billion in 2025 and is expected to surge to $133.9 billion by 2032, registering a CAGR of 32.6% during the forecast period. This growth reflects the transformative impact of generative AI across multiple industries, including media, healthcare, finance, retail, and entertainment, where automation, personalization, and efficiency are critical.
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Market Drivers: Enhancing Customer Satisfaction
A key factor propelling generative AI adoption is the increasing need to improve customer satisfaction. Businesses across industries are leveraging generative AI to deliver more personalized, responsive, and efficient service. By analyzing historical behavior, preferences, and past interactions, AI systems generate tailored recommendations, content, and offers that resonate with individual customers. This level of personalization strengthens customer relationships, boosts loyalty, and enhances brand perception.
AI-powered chatbots and virtual assistants are revolutionizing customer support, efficiently managing both simple and complex queries. Using natural language processing, these AI tools understand and respond to customer inquiries in real time, continuously improving their accuracy through learning from interactions. The result is faster resolutions, reduced wait times, and a more satisfying customer experience.
Adoption in IT and Telecommunications
The IT and telecom sector is at the forefront of generative AI adoption. Companies are increasingly deploying AI solutions to optimize network performance, enhance customer service, and develop innovative products. AI-powered analytics allow telecom operators to anticipate customer behavior, providing proactive support and personalized services. These solutions also enable real-time network optimization, adapting dynamically to evolving demands.
Generative AI supports advanced customer analytics, delivering actionable insights into user behavior and preferences. Virtual assistants and automated systems reduce response times and enhance service reliability, making AI a critical component of modern IT and telecom operations. Recent developments underscore this trend. In January 2025, the GSM Association partnered with IBM to launch generative AI training and innovation programs for the telecom industry. In December 2024, Netcracker Technology integrated its GenAI Telco Solution with Amazon Bedrock to improve AI deployment in telecom networks.
Generative AI in Customer Interactions
The rising adoption of AI chatbots represents a notable trend within the generative AI market. These intelligent chatbots can recognize and respond to human emotions, improving the quality of customer interactions. By analyzing large datasets of customer interactions, AI chatbots learn to provide personalized responses and solutions, enhancing customer engagement and retention. Enterprises increasingly leverage these systems to provide real-time insights to customer service agents, ensuring a seamless and informed customer experience.
For instance, in June 2025, Enento Group partnered with Ebbot to advance customer experience through a generative AI-powered chatbot. Such strategic collaborations highlight the ongoing innovation in AI-driven customer support tools, further fueling market growth.
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Market Segmentation: Software, Models, and Data Modalities
Why is the software segment expected to dominate the generative AI market in 2025?
The software segment is projected to hold 65% of the market share in 2025 due to the growing demand for AI solutions capable of generating large volumes of content and data. Software platforms enable businesses to automate workflows, enhance creativity, and personalize customer experiences. Investments in R&D by software providers further strengthen this segment, offering advanced problem-solving and operational efficiency. While software dominates in size, the services segment is anticipated to record the highest CAGR during the forecast period, driven by demand for consulting, implementation, and AI-powered task automation.
Transformer models are expected to account for over 47% of the generative AI market in 2025, owing to their efficiency in generating personalized content, automating writing tasks, and enabling conversational AI applications. Meanwhile, generative adversarial networks (GANs) are projected to grow at the fastest rate, driven by applications in medical imaging, marketing, and creative industries.
Regarding data modality, text-based AI solutions are anticipated to dominate in 2025, with over 32% market share. Text generation technologies are widely used in AI chatbots, content creation, medical documentation, and financial reporting. However, AI for images, video, audio, and code is also growing rapidly, reflecting the diverse applications of generative AI across industries.
End-Use and Geographic Analysis
The IT and telecommunications sector is expected to hold the largest share of over 23% in 2025, driven by demand for AI-powered network optimization, predictive maintenance, fraud detection, and personalized customer engagement. Other major end-users include BFSI, healthcare, media, retail, energy, transportation, and government sectors.
Geographically, North America is poised to dominate the generative AI market in 2025 with over 41% market share, supported by the presence of leading AI companies, high adoption rates in IT and telecom, and growing interest in business process automation. Asia-Pacific, however, is expected to record the highest CAGR of 34.2% due to rapid economic growth, digital infrastructure development, high internet penetration, and increasing government support for AI initiatives. Key countries driving this growth include China, Japan, India, and South Korea.
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Competitive Landscape and Developments
The generative AI market is highly competitive, with leading players including NVIDIA Corporation, IBM, Amazon Web Services, Google, Capgemini, Kyndryl, Intel, Synthesia, Writesonic, Salesforce, D-ID, and Adobe. Recent developments illustrate strong innovation and collaboration. In May 2025, Kyndryl partnered with NVIDIA to accelerate the deployment of generative AI solutions. In March 2025, NVIDIA introduced generative AI microservices for drug discovery, medical imaging, and digital health, showcasing advanced capabilities in natural language processing, imaging, and simulation.
Future Outlook
The future of generative AI is promising, with continuous innovations enhancing productivity, creativity, and customer engagement across industries. The market is expected to expand beyond IT and telecom to sectors like healthcare, media, finance, and retail. By 2032, generative AI will become a core technology for automating business processes, generating personalized content, and driving operational efficiency, positioning it as a transformative force in the global economy.
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About Us:
We are a trusted research partner for leading businesses worldwide, empowering Fortune 500 organizations and emerging enterprises with actionable market intelligence tailored to drive revenue transformation and strategic growth. Our insights reveal forward-looking revenue opportunities, providing our clients with a competitive edge through a diverse suite of research solutions-syndicated reports, custom research, and direct analyst engagement.
Each year, we conduct over 300 syndicated studies and manage 60+ consulting engagements across eight key industry sectors and 20+ geographic markets. With a focus on solving the complex challenges facing global business leaders, our research enables informed decision-making that propels sustainable growth and operational excellence. We are dedicated to delivering high-impact solutions that transform business performance and fuel innovation in the competitive global marketplace.
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