Zuora Study Highlights Consumer Adoption Trends and Preferences for AI and GenAI Services
Zuora Study Highlights Consumer Adoption Trends and Preferences for AI and GenAI Services
Early adoption rates for GenAI services point to clear opportunities and monetization strategies
GenAI 服务的早期采用率表明了明确的机会和盈利策略
REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Zuora, Inc.(NYSE: ZUO), a leading monetization suite for modern business, today released the findings of its latest study, AI Monetization Strategies: What Consumers Want and How to Deliver, which analyzes consumer behaviors and preferences regarding AI and generative AI (GenAI) services.
加利福尼亚州雷德伍德城--(美国商业资讯)--领先的现代商业盈利套件Zuora, Inc.(纽约证券交易所代码:ZUO)今天发布了其最新研究《人工智能盈利策略:消费者想要什么和如何交付》的结果,该研究分析了消费者在人工智能和生成人工智能 (GenAI) 服务方面的行为和偏好。
As businesses navigate monetization strategies for these new technologies, The Subscribed Institute at Zuora commissioned The Harris Poll to conduct a study in May 2024 among more than 2,000 U.S. adults to better understand current adoption and sentiment regarding AI and GenAI services. While the pace of innovation is not slowing down, the data shows that we are still in the early stages of consumer adoption, particularly for older generations.
在企业制定这些新技术的货币化策略时,Zuora的订阅研究所委托哈里斯民意调查于2024年5月对2,000多名美国成年人进行了一项研究,以更好地了解当前对人工智能和GenAI服务的采用情况和看法。尽管创新的步伐没有放缓,但数据显示,我们仍处于消费者采用的初期阶段,尤其是对于老一辈而言。
Key findings from the study include:
该研究的主要发现包括:
While we are at the beginning of the consumer adoption curve for AI services and technologies, there are clear opportunities to drive future adoption across age groups: 50% of Gen Z respondents are currently using the technology, compared to 43% of Millennials, 20% of Gen X and only 9% of Boomers/Seniors. Overall, 28% of respondents say they are using these services. Another 27% of all respondents are not currently using GenAI services, but report an interest in trying them.
Preference for usage-based models: More than half (53%) of all respondents say it is important to have a usage-based pricing model available for AI and GenAI services, compared to much fewer who say the same for an option for an annual recurring (29%) or monthly recurring (28%) charge for AI and GenAI services.
Early adoption of AI services may be linked to a preference for outcome-based charges: Study results indicate a potential correlation between GenAI services adoption and interest in outcome-based charge models. Among those who use or are interested in using GenAI services, Gen Z reported both the highest adoption rate of GenAI services (50% of Gen Z) and the highest preference (23%) for outcome-based charges (compared to 17% of Millennials, 16% of Gen X, and only 8% of Boomers/Seniors). This type of usage-based pricing model charges customers based on the actual resolutions, or outcomes, produced by the service.
Success hinges on aligning monetization with perceived value: Most respondents (70%) said they would not currently be willing to pay extra for embedded, GenAI-enabled features, however, early adopters may be more willing. Gen Z is the only age group that is essentially split down the middle in terms of willingness to pay (54% yes; 46% no) for added GenAI capabilities within an existing subscription (compared to Millennials: 43%, Gen X: 24%, Boomers/Seniors: 11%). By tapping into the preferences of those adopting the technology at higher rates, like Gen Z, vendors may be able to expedite value realization.
虽然我们正处于消费者对人工智能服务和技术的采用曲线的起点,但显然有机会推动未来跨年龄组的采用率:50%的Z世代受访者目前正在使用该技术,而千禧一代的这一比例为43%,X世代的这一比例为20%,婴儿潮一代/老年人的这一比例仅为9%。总体而言,28%的受访者表示他们正在使用这些服务。另有27%的受访者目前没有使用GenAI服务,但表示有兴趣尝试这些服务。
偏爱基于使用量的模式:超过一半(53%)的受访者表示,为人工智能和GenAI服务提供基于使用量的定价模型很重要,而对人工智能和GenAI服务的年度定期收费(29%)或每月定期收费(28%)的选项持相同看法的人要少得多。
早期采用人工智能服务可能与偏爱基于结果的收费有关:研究结果表明,GenAI服务的采用与对基于结果的收费模型的兴趣之间存在潜在的相关性。在使用或有兴趣使用GenAI服务的人群中,Z世代报告说,GenAI服务的采用率最高(占Z世代的50%),对基于结果的收费的偏好(23%)(相比之下,千禧一代的这一比例为17%,X世代的16%,婴儿潮一代/老年人的这一比例仅为8%)。这种基于使用量的定价模型根据服务产生的实际解决方案或结果向客户收费。
成功取决于将盈利与感知价值保持一致:大多数受访者(70%)表示,他们目前不愿意为支持Genai的嵌入式功能支付额外费用,但是,早期采用者可能更愿意。Z世代是唯一一个在现有订阅中为增加的GenAI功能付费意愿(54%是;46%不是)方面基本处于中间的年龄组(相比之下,千禧一代:43%,X世代:24%,婴儿潮一代/老年人:11%)。通过挖掘那些以更高速度采用该技术的人(例如Z世代)的偏好,供应商可能能够加快价值的实现。
"The rapid evolution of AI services presents significant monetization opportunities and challenges," said Amy Konary, Senior Vice President and Founder of the Subscribed Institute at Zuora. "The varying interest between generations highlights the need to deliver clear value while acknowledging that value may differ for each age group. Companies that embrace usage-based pricing and outcome-oriented models can also be better positioned to maintain recurring customer relationships in the age of AI."
Zuora高级副总裁兼订阅研究所创始人艾米·科纳里表示:“人工智能服务的快速发展带来了巨大的货币化机遇和挑战。”“各代人之间的不同兴趣凸显了提供明确价值的必要性,同时承认每个年龄组的价值可能有所不同。在人工智能时代,采用基于使用量的定价和以结果为导向的模式的公司也可以更好地维持经常性的客户关系。”
To read the full study, visit here .
要阅读研究报告全文,请访问此处。
About Zuora, Inc.
关于 Zuora, Inc.
Zuora provides a leading monetization suite to build, run and grow a modern business through a dynamic mix of usage-based models, subscription bundles and everything in between. From pricing and packaging, to billing, payments and revenue accounting, Zuora's flexible, modular software platform is designed to help companies evolve monetization strategies with customer demand. More than 1,000 customers around the world, including BMC Software, Box, Caterpillar, General Motors, The New York Times, Schneider Electric and Zoom use Zuora's leading combination of technology and expertise to turn recurring relationships and recurring revenue into recurring growth. Zuora is headquartered in Silicon Valley with offices in the Americas, EMEA and APAC. To learn more, please visit zuora.com .
Zuora提供领先的盈利套件,通过基于使用量的模式、订阅套餐以及介于两者之间的所有内容的动态组合,来建立、运营和发展现代业务。从定价和包装到账单、付款和收入会计,Zuora灵活的模块化软件平台旨在帮助公司根据客户需求制定盈利策略。包括BMC Software、Box、卡特彼勒、通用汽车、《纽约时报》、施耐德电气和Zoom在内的全球1,000多家客户使用Zuora领先的技术和专业知识组合,将经常性关系和经常性收入转化为经常性增长。Zuora 总部位于硅谷,在美洲、欧洲、中东和非洲以及亚太地区设有办事处。要了解更多信息,请访问 zuora.com。
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SOURCE: ZUORA, INC.
来源:ZUORA, INC.
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Source: Zuora, Inc.
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