tencent cloud

Report Information

• Report Title：The World's Most Practical Agentic-Driven Digital Service Groups 2026
• Publishing Institution：Omdia
• Publication Date：May 2026
• Authoritative Endorsement：Raymond Zhan, Senior Principal Analyst, Cloud & AI
• Industry Tags：Technology Services, General SaaS, General Tools

Core Findings

• AI Agents Shift Competitive Moats to Autonomous Execution
• The transition from traditional Generative AI to Agentic AI represents an evolutionary leap, with Agentic AI projected to achieve a five-year compound annual growth rate of 94% from 2025 to 2030. In information technology, Agentic AI software revenue is expected to surge from 292 million dollars in 2025 to 7.84 billion dollars by 2030.
• The report identifies a critical fault line between Tier 2 and Tier 3 players, defined by their ability to bridge the gap from AI investment to a quantifiable financial validation loop. While many organizations face challenges like agent sprawl and security vulnerabilities, the top performers are restructuring their software production models, positioning human engineers as strategic architects.
• Omdia's global rankings place Microsoft first with 5.0 points, Amazon second at 4.8 points, Alphabet third at 4.6 points, Salesforce fourth at 4.6 points, and Tencent fifth at 4.4 points. These leading organizations demonstrate full-loop deployment, transitioning from proprietary large language models and fine-tuning to internal agent scale-up and verified business return on investment.

Report Table of Contents

1. Introduction
2. Market status & Market dynamics
3. Conclusion & Outlook
4. Appendix

Methodology

• Benchmarking Thirty Digital Service Players Across Five Key Pillars
• The research is a qualitative and quantitative benchmarking study analyzing 30 global integrated digital service providers that bridge consumer traffic and business services. The evaluation utilizes public information and proprietary forecasts updated to May 2026 to assess the practical deployment of Agentic AI.
• The framework measures performance across the following five critical dimensions:
• 1. Agentic AI–driven R&D Effectiveness: Evaluate whether an enterprise uses AI to reconstruct R&D work mode to ensure sustainable development.
• 2. Product & Service Reinvention: Assess whether an enterprise has embedded AI into core products and business models, transforming it into a value creation engine.
• 3. AI-powered Internal Operation Excellence: Evaluate whether AI is deeply utilized in internal operational scenarios to form a closed loop of continuous business optimization.
• 4. AI Stack Readiness: Assess whether the enterprise possesses the underlying capabilities, such as MLOps, LLMOps, data pipelines, and infrastructure, to support large-scale implementation.
• 5. Organizational Readiness: Evaluate whether the enterprise has established the organizational structure, leadership cognition, and talent density necessary to catalyze widespread application.

Why Choose Tencent Cloud

• Leading Global Agentic R&D Efficiency and Business Impact
• Tencent ranks fifth globally with a total score of 4.4, demonstrating balanced, full-stack capabilities in Agentic AI with near-perfect scores of 4.5 in R&D effectiveness, product reinvention, stack readiness, and organizational readiness. Tencent operates over 1,000 internal agents, and its proprietary HY large language model powers over 300 business scenarios, contributing to a 20% ad revenue growth and a 22% gaming revenue growth.
• The deployment of Tencent's CodeBuddy assistant has successfully covered over 90% of engineers, with 50% of new code being AI-generated, leading to a 40% reduction in coding time and a 20% increase in overall R&D efficiency. Furthermore, Tencent's Agent Development Platform meets strict performance and safety benchmarks, including less than 5% code duplication, at least 80% test coverage, and zero OWASP Top 10 vulnerabilities.
• Product Tags：#HY LLM #CodeBuddy #Workbuddy #Qclaw #Box AI #HY Assistant #TAPD AI #ADP

“Based on Omdia data and analysis, and provided for general informational reference only. It should not be interpreted as an endorsement, certification, or recommendation by Omdia. Omdia accepts no responsibility or liability for decisions taken based on this information.”