Gartner
Gartner is a global information technology research and advisory company headquartered in the United States, providing independent research analysis, data insights, and strategic guidance to enterprise executives, IT professionals, and investors. Its core products include the Magic Quadrant and Hype Cycle industry assessment reports, covering technology trends, competitive market landscapes, and vendor evaluations. These resources are widely referenced for enterprise technology procurement and strategic decision-making.
Core Facts
According to Gartner statistics, more than 85% of AI projects fail to make it into production.
According to Gartner estimates, approximately 80% of enterprise data is unstructured, including video, images, documents, and audio.
The global AI programming tools market size exceeded $4 billion in 2024.
Timeline (last 90 days)
The Hype cycle proposed by Gartner describes the path of a technology from conceptual hype to substantive adoption: the innovation trigger, the peak of inflated expectations, the trough of disillusionment, the slope of enlightenment, and the plateau of productivity.
Cisco Vice President of Product Management Anton Chuvakin has 25 years of security research experience and previously served as a Gartner Research Vice President and a member of the Google Cloud CISO Office.
During his time at Gartner, Chuvakin proposed the concept of the "patching sound barrier," referring to an insurmountable speed ceiling in enterprise patch deployment processes, with typical timelines measured in months or even quarters.
Gartner estimates that among the thousands of companies selling agents, only about 130 offer real agents, with the rest being "agent washing".
Classic definitions of CDP from organizations such as Gartner emphasize its "marketer-controlled" attribute, which is also one of the main differences between CDPs and data management platforms (DMPs).
Gartner expects enterprise and consumer AI revenue attributable to AI data centers to be at most $3.6 trillion by 2030, leaving a gap versus $8.5 trillion in demand.
Gartner notes that most AI-native providers use an asset-light model and expects less than half of AI revenue to be earned by providers that own large amounts of AI infrastructure.
Gartner expects that by 2030 more than 80% of neocloud providers will cease to operate independently.
Gartner estimates that AI-optimized infrastructure-as-a-service spending will grow from $66 billion in 2027 to $174 billion in 2030.
Gartner warns that more than $3.5 trillion in AI infrastructure spending may face impairment risk due to the revenue gap.
40 more timeline events
All Facts (20)
According to Gartner statistics, more than 85% of AI projects fail to make it into production.
90%VerifiedAccording to Gartner estimates, approximately 80% of enterprise data is unstructured, including video, images, documents, and audio.
90%VerifiedThe global AI programming tools market size exceeded $4 billion in 2024.
90%VerifiedThe Gartner Hype Cycle was first published by Gartner in 1995 and divides technology adoption into five stages: Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity.
80%VerifiedGartner summarizes the pattern of new technology development as the "Hype Cycle" (技术成熟度曲线).
75%VerifiedAccording to Gartner statistics, 30%–50% of maintenance costs in traditional RPA projects come from responding to UI changes.
75%VerifiedAccording to Gartner survey data, historically only about 53% of AI projects successfully transition from the prototype stage to production deployment.
65%VerifiedGartner once estimated that 30%–40% of enterprise IT spending falls under the category of shadow IT.
65%VerifiedGartner predicts that by 2026, more than 80% of enterprises will be using generative AI applications in production environments.
90%VerifiedGartner predicts that by 2025 more than 75% of enterprise-generated data will be created and processed outside traditional data centers or the cloud.
85%VerifiedGartner predicts that by 2028, 75% of enterprise software engineers will be using AI coding assistants.
80%VerifiedGartner predicts that by 2028, at least 15% of daily work decisions will be made autonomously by AI Agents.
80%VerifiedGartner predicts that by 2028, 33% of enterprise software will integrate AI Agent functionality.
80%VerifiedGartner predicts that by 2025, 70% of new applications will be built using low-code or no-code technologies.
80%VerifiedAccording to Gartner's predictions, by 2026, 80% of enterprise applications will be built by non-professional developers (citizen developers).
65%VerifiedGrand View Research predicts the iPaaS market size will reach approximately $34 billion by 2030.
65%UnverifiedERP概念由Gartner于1990年提出
85%Unverified决策智能（Decision Intelligence）由Gartner于2019年前后正式定义并纳入技术成熟度曲线
85%UnverifiedGartner将智能自动化列为超级自动化（Hyperautomation）趋势的核心组成部分
80%UnverifiedAccording to Gartner research, the average decision-making cycle for enterprises replacing core productivity tools is as long as 6 to 12 months.
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