AI-native software vendors are capturing enterprise contracts at record rates as companies redirect cloud spending away from legacy providers. SoundHound AI reported record customer deal closures in Q4 2024, with CEO Keyvan Mohajer noting "all key profit metrics were up" as enterprises chose AI-first platforms over traditional software.
Baidu's AI cloud business reached CNY 30 billion in revenue, combining AI infrastructure and applications. The growth reflects enterprise demand for purpose-built AI systems rather than retrofitted legacy platforms.
"Most legacy DXPs lack native AI, conversational capability, or agentic transaction layers," according to Rezolve Ai, which positions itself as one of few AI companies globally combining a proprietary LLM with deep integration capabilities. The technical gap between AI-native and traditional platforms is driving procurement decisions.
Enterprises cite superior integration and performance as primary selection criteria. AI-native vendors design systems from the ground up for machine learning workloads, while legacy providers add AI features to existing architectures not optimized for those tasks.
"As traditional software faces massive AI disruption, businesses are looking to partner with AI natives," Mohajer said. The shift affects deployment decisions across enterprise software categories including customer experience platforms, cloud infrastructure, and business applications.
The competitive dynamic favors vendors that own their AI models and infrastructure rather than those licensing third-party AI capabilities. Proprietary LLMs combined with native integration architecture provide performance advantages that enterprises value for production deployments.
Market share data for 2025-2026 will test whether AI-native vendors sustain contract win rates against established software providers. Enterprise procurement patterns suggest buyers prioritize technical architecture over vendor incumbency when selecting AI platforms.
The spending shift concentrates in new deployments rather than replacement of existing systems. Enterprises launching AI initiatives favor purpose-built platforms, creating growth opportunities for AI-native vendors without requiring legacy system migrations.