基于结果的定价

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240 款 AI 软件定价分析:从席位到成果,AI 定价的五种趋势
Founder Park· 2025-06-12 12:13
Core Viewpoint - Traditional pricing models are becoming ineffective due to value misalignment and cost pressures, leading to a rising demand for disruptive pricing strategies in software companies [3][6]. Group 1: Trends in AI Pricing - A study of over 240 software companies revealed five key trends in AI pricing, indicating a shift from traditional fixed pricing to hybrid pricing models [4][11]. - The proportion of fixed fee subscriptions decreased from 29% to 22%, while hybrid pricing models increased from 27% to 41% [11]. - More than half of the surveyed companies (53%) have integrated AI functionalities into their core software products [9]. Group 2: Challenges and Considerations - Many companies are unprepared for the rapid changes in pricing models, with 75% of software companies adjusting their pricing strategies in the past year [51]. - There is a significant personnel gap in pricing analysis and market insight, with many companies still relying on outdated tools like Excel [52][53]. - The complexity of pricing structures, especially with the introduction of AI, leads to confusion among buyers, who prefer direct communication over static price lists [50][48]. Group 3: Future of Pricing Models - The industry is transitioning from ownership to rental and then to usage-based pricing, which could fundamentally change how software companies operate [57]. - Companies are increasingly leaning towards outcome-based pricing, which ties pricing to the results delivered to customers [56][36].