Vertical domain large language model market to reach $88.45 billion, enterprise-level AI customization accelerates.

Industry Background

Domain-Specific Large Language Models (Domain-Specific LLMs) are becoming the new focus of enterprise AI implementation. According to the latest market report released by SNS Insider, the global market size was $4.56 billion in 2025 and is expected to reach $88.45 billion by 2035, with a compound annual growth rate (CAGR) of 34.55% from 2026 to 2035. The report points out that this growth stems from enterprises' demand for industry-specific and customized AI solutions, as well as higher requirements for accuracy and reliability. A study conducted in February 2025 also emphasized the importance of specialized datasets, domain adaptation, and standardized evaluation methods for improving model performance.

Market Impact

From a product structure perspective, the software segment accounted for 67.26% of the market share in 2025, making it the main revenue source at present; however, during the forecast period, the services segment is expected to record the highest CAGR of 38.05%, reflecting enterprises' greater need for consulting, fine-tuning, data preparation, and maintenance support. In terms of deployment modes, cloud deployment leads with an 81.12% share, with scalability and cost efficiency as its main advantages; on-premises deployment is the fastest-growing mode with a CAGR of 46.90%, driven by data privacy, regulatory compliance, and enterprises' requirements for model control.

By model type, text-based models currently account for 72.50%, but multimodal models are expected to grow rapidly at a CAGR of 39.76%, offering greater value in scenarios such as medical imaging, industrial inspection, retail, and financial document processing. In terms of customization, fine-tuned models account for 58.60%, while models based on retrieval-augmented generation (RAG) represent a growth path with a CAGR of 40.04%.

Competitive Landscape

Large enterprises currently contribute 68.50% of the market share, but adoption by small and medium-sized enterprises (SMEs) is accelerating, with an expected CAGR of 38.34%. Among application scenarios, customer service automation leads with a 22.32% share, while code generation and review are expected to grow rapidly at a CAGR of 40.75%. The report also notes that demand for industry-specific AI in BFSI, healthcare, manufacturing, retail, telecommunications, and government continues to rise, driving suppliers to increase investment in vertical sectors.

North America remains the largest regional market, of which the U.S. market is valued at $1.66 billion in 2025 and is expected to reach $26.69 billion by 2035, representing a CAGR of 31.87%. Asia-Pacific is listed as the fastest-growing region, with China accounting for 48.54% of the regional share. The report mentions that in August 2026, Google expanded Gemini Enterprise into the legal sector, launching legal-specific AI agents and tools, indicating that leading vendors are accelerating their deployments in vertical industries.

Implications for Enterprises ## Enterprise Implications

For enterprises, vertical domain large language models mean that AI is no longer a general-purpose chatbot, but an industry tool deeply embedded in business processes. Enterprises should assess their data assets and business complexity, and choose suitable customization paths, including fine-tuning, RAG, or hybrid solutions. For highly regulated industries such as healthcare, finance, and law, local deployment and higher-level data governance will become important considerations. Data in the report shows that the growth of service capabilities will bring suppliers closer to business needs, and enterprises can leverage external services to shorten implementation cycles.

Future Outlook

In the next 12 months, the service market will grow first, and enterprises will increasingly rely on professional institutions for model customization and integration. In the next 24 months, the acceleration of multimodal capabilities and local deployment will expand industry coverage, especially in manufacturing, healthcare, and government affairs. In the next 3 years, vertical domain large language models are expected to become standard enterprise AI infrastructure, driving a new round of innovation in computing power, data services, and industry applications. SNS Insider predicts that this market segment will maintain an annual growth rate of over 30%, becoming an important pillar of generative AI commercialization.