Frost&Sullivan发布《迈向人工智能驱动的开发生命周期——全球代理编码市场研究报告》

——Global Agentic Coding Market Research Report Artificial Intelligence, Code Generation, Complex Engineering, Agent Evolution LeadLeo Research InstituteFrost & Sullivan (China) Report Note: Frost & Sullivan and LeadLeo jointly present the 2025 Global AgenticCoding Market Research Report, part of our global generative AI series.This report examines the current market landscape, user needs, andtechnology trends in Agentic Coding, with a forward-looking assessmentof competitive positioning. Frost & Sullivan and LeadLeo jointly conduct research on participatingvendors in Agentic Coding. The analysis of Agentic Coding developmenttrends provided by this market report also reflects the overall trends ofthe Agentic Coding industry. The final judgment on market ranking andleadership tiers in this report only applies to the development cycle of theAgentic Coding field in this year. All data, charts, and text are sourced from proprietary surveys by Frost &Sullivan (China) and LeadLeo, rounded to one decimal place. All content provided in this report (including but not limited to data, text, charts,images, etc.) constitutes highly confidential proprietary information of Frost &Sullivan and LeadLeo Research Institute (except where otherwise indicated assourced from third parties). Without the prior written consent of Frost & Sullivanand LeadLeo Research Institute, no person may copy, reproduce, disseminate,publish, quote, adapt, or compile any part of this report by any means. Frost &Sullivan and LeadLeo Research Institute reserve the right to take legal action andhold relevant parties accountable for any breach of the foregoing provisions. Allcommercialactivities conducted by Frost&Sullivan and LeadLeo ResearchInstitute are carried out exclusively under the trade names and trademarks "Frost &Sullivan," "Sullivan," "LeadLeo Research Institute," or "LeadLeo." Neither entitymaintains any branch offices other than those operating under the aforementionednames, nor have they authorized or engaged any third party to conduct commercialactivities on behalf of Frost & Sullivan or LeadLeo Research Institute. Research Summary Research Subject This report focuses on the evolution and application of the global AgenticCoding market in 2025. It aims to systematically review mainstream players andproductdevelopment paths,with an emphasis on product capabilities,deployment outcomes, platform ecosystem strength, and future potential acrosskey industries. Agentic Coding is an emerging, fast-moving field representing the shift of codeassistants (such as GitHub Copilot) from passive response to proactive, agent-like behavior. Suchsystems not only complete code but also understandobjectives,plan autonomously,execute multi-step actions,interact withenvironments, debug, and iterate. To ensure relevance to industry practice and technological trends, the researchteamincorporates insights from government,industry,and academia—interviewing model developers, enterprise users, and platform vendors—andbuilds analysis models based on real-world cases and metrics. Purpose of the Report The goal is to clarify Agentic Coding product capabilities and industry value,deeplyexamine technical ability,engineering maturity,user experience,commercial potential, and security compliance, and establish a quantitativereference system for enterprise selection and industry evaluation. The report also draws on national policy direction, open source communityactivity, and the strategies of leading players to help market participants fullyunderstandthe technical potential and business opportunities of AgenticCoding. Based on the AI research expertise of Frost & Sullivan and LeadLeo, this reportprovides forecasts on global market trends and potential opportunities. Frost & Sullivan Insight In 2026, Agentic Coding is no longer a question of “whether to adopt,” but “how toadopt quickly and reliably.” It represents a golden window for enterprises to build AI-native development capabilities. Companies that first align technology, processes, andtalent will gain a significant edge in innovation speed. The software development lifecycle is being structurally reshaped–AI-driven becomes mainstream Traditionalphases—requirements,design,development,testing,deployment—remain, but AI-driven requirement design, implementation, automated testing, andreal-time documentation compress development cycles from weeks to hours. By2026, multiple collaborating agents will work continuously for days or even weeksto build complete applications and systems. Don’t pursue full automation,focus on humanandAI collaboration Tactical tasks like writing, debugging, and maintaining code will be largely handledby AI. The core value of software engineers will shift to coordinating coding agents,evaluating their outputs, providing strategic direction, and ensuring the systemcorrectly solves key problems. Enterprises should focus on improving developerproductivity. Start with high-RO