Dongguan Securities·2026-02-27 08:04Investment Rating - The report maintains an "Overweight" rating for the AI Coding industry, indicating a positive outlook on its growth potential and market opportunities [1]. Core Insights - AI Coding is transitioning from "assisted Copilot" to "autonomous Agent," showcasing significant market potential. The industry is characterized by rapid development and high growth potential, particularly in the context of AI applications [3][10]. - The global AI Coding market is projected to grow from 4.29 billion USD in 2023 to over 24.46 billion USD by 2031, with a CAGR of 24.3%. In China, the AI code generation market is expected to increase from 6.5 billion RMB in 2023 to 33 billion RMB by 2028, with a CAGR of 38.4% [21][22]. Summary by Sections 1. AI Coding Transition - AI Coding enhances software development efficiency and reduces labor costs by automating repetitive tasks and improving code quality [10]. - The evolution of AI Coding tools heavily relies on advancements in underlying large models, with international models leading the way [13][15]. 2. Overseas AI Programming Tools - Several overseas AI programming products have achieved significant revenue growth, with products like Claude Code and Cursor surpassing 1 billion USD in ARR by November 2025 [26][28]. - Cursor, an AI-native IDE, has seen its valuation and ARR increase dramatically, marking it as one of the fastest-growing AI SaaS products [31][32]. 3. Domestic AI Programming Market - The domestic AI programming market is heating up, with major internet companies launching self-developed AI IDEs and engaging in competitive pricing strategies to capture market share [51]. - Domestic AI models are focusing on enhancing coding and agent capabilities, with significant increases in model usage observed in early 2026 [52]. 4. Investment Strategy - The report suggests focusing on leading companies in the domestic AI Coding sector, as the market penetration is currently low, indicating substantial growth opportunities [3].