泰坦的冲突（英）2026

Investment Rating - The report indicates a positive investment outlook for the enterprise SaaS sector, particularly highlighting the growth potential driven by AI-native and AI-embedded solutions [5]. Core Insights - The enterprise SaaS sector is experiencing a significant technological transformation due to the maturation of artificial intelligence, creating a dichotomy between AI-embedded incumbents and AI-native challengers [5][10]. - While 78% of organizations have adopted AI, 95% of AI integration attempts fail to accelerate revenue, indicating a substantial opportunity for new vendors [5][24]. - The total addressable market (TAM) for AI-native and AI-embedded workflows is estimated to grow from $65 billion in 2025 to $190 billion by 2030, with growth rates between 18% and 27% [41][42]. Summary by Sections The Radical Transformation in SaaS - The enterprise SaaS sector is undergoing its most significant shift in a generation, driven by advancements in AI, particularly large language models [6]. AI-Embedded Incumbents - AI-embedded solutions are primarily offered by legacy SaaS companies, enhancing existing platforms with AI capabilities [12]. - By 2026, 80% of software vendors are expected to embed AI into their applications, making this the fastest-growing segment of AI capabilities [12][15]. AI-Native Challengers - AI-native platforms are designed from the ground up around intelligent processes, offering potentially higher efficiency and scalability compared to AI-embedded solutions [14][16]. - These platforms are transforming core enterprise functions and are seen as creating agile, high-efficiency businesses [16][17]. Market Development and Investment - The enterprise adoption of AI has surged, with 78% of organizations using AI in at least one business function, up from 55% the previous year [23]. - Despite high adoption rates, a significant execution gap exists, with 95% of AI integration attempts failing to yield meaningful revenue [24]. Market Sizing and Growth - The estimated TAM for AI-native and AI-embedded workflows is projected to grow from $65 billion in 2025 to $190 billion by 2030, with the fastest growth in vertical agentic AI [41][42]. Opportunities and Constraints - Key factors accelerating adoption include improved model access, data access patterns, and measurable time-to-value metrics [51][52]. - Constraints include governance and lineage requirements, pricing confusion, and change management challenges [52]. Defensibility and the Tech Stack - A new AI-first foundation is essential for both incumbents and challengers to build durable value [53]. - The architecture of AI-enabled applications now includes a data plane, model/agent layer, workflow layer, and experience layer [54]. The New Moats - Defensibility in the market is increasingly reliant on data capture, agentic orchestration, domain tuning, and observability [59][61]. Incumbents and Challengers Meet - Incumbents are leveraging their distribution and governance capabilities, while challengers focus on speed and clarity of architecture [62][67]. The Investor Perspective - Investors are encouraged to identify companies that either replace workflows with AI-native solutions or embed AI agents into existing platforms [72][74].