2026年全球生成式AI企业行业报告

Contents Foreword 2Table of Contents and ForewordList of TablesList of FiguresEnterprise Market & Technology Landscape334 When we released our first state of the industry reportin 2023, enterprises were going through a wave ofexperimentation, trying to identify Gen AI transformativeuse cases across workflows. 2024’s report showed anexplosion in pilot studies and proof of concepts, withenterprises seeking to define governance policies,infrastructure requirements and value creation. GenAI in Core Industries GenAI in Financial ServicesGenAI in Creative IndustriesGenAI in RetailGenAI in ManufacturingGenAI in HealthcareGenAI in EducationGenAI in Transportation10111417202425 This year’s report shows how fast the landscape is evolving,as enterprises moving from pilot into full-scale production,effectively deploying and scaling Generative AI initiatives todeliver tangible business value. In this report, we seek to highlight the key forces shapingGenerative AI adoption: Generative AI in Core Industries:How sector-specificuse cases are evolving and what’s working AI Industry Trends:Where the technology is headingand what’s driving the next wave of innovation AI Industry Trends AI in the Enterprise:What best-in-class operationalisationlooks like - from architecture to governance AI Infrastructure & ArchitectureAgentic AIAI Governance – Risk, Compliance, Responsible AI282935 Gen AI Investments:Where capital is flowing and howit’s reshaping the competitive landscape Gen AI Infrastructure:How leaders are building scalable,flexible, and cost-effective platforms for AI deployment GenAI in Enterprise: Case StudiesGenAI TechnologyGenAI and InvestmentsGenAI Infrastructure DevelopmentValue Creation through GenAIVendor LandscapeAppendixBibliography As we convene at Generative AI Week, this report isdesigned to ground our conversations in real data, realstrategy, and real outcomes. It’s not just a snapshotof where we are today - it’s a guide to what’s next forenterprise leaders seeking to implement Generative AIacross E2E workflows. Sam Lehmann Event DirectorGenerative AI Week State of Generative AI in the enterprise Tables TABLE 5Agentic AI vs GenAI vsTraditional AI TABLE 1 TABLE 10 Business functions where enterprisesare using GenAI by industry (%) Illustrative capabilities of GenAIplatforms from select frontier labs TABLE 11 TABLE 2 TABLE 6 GenAI use cases across thecreative industries value chain Top private equity deals inGen AI – Q1’ 2025 Agentic AI vs GenAI vsTraditional AI TABLE 7 TABLE 12 TABLE 3 Notable RAI policymakingmilestones Impact of GenAI on the retailvalue chain Top private equity deals in GenAI – Q1’ 2025 TABLE 13 TABLE 8 TABLE 4 GenAI applications across themanufacturing value chain Significant AI model and datasetreleases, 2024 onwards Significant model and datasetreleases TABLE 9 TABLE 5 TABLE 14 Leading GenAI models andspecifications Categorization of GenAImodels in manufacturing Leading vendors: GenAI Figures FIGURE 7Air concept shoe by GenAI FIGURE 14 FIGURE 1 GenAI impact on businessrevenues Comparative scoring of leadingAgentic AI solutions FIGURE 8 FIGURE 15 Potential with GenAI in education FIGURE 2 Investment in responsible AI bycompany revenue, 2024 GenAI implementation status FIGURE 9 GenAI adoption and impact intransportation FIGURE 3 Global enterprise GenAI marketby segments in US$ billions, 2025-2030 FIGURE 16 Leading GenAI AI chatbots marketshare and user growth in the U.S.,April 2025 FIGURE 10GenAI infrastructure funding in 2024 FIGURE 49 FIGURE 17 FIGURE 11 Global enterprise GenAI marketby region in %, 2025-2030 Global Agentic AI market size inUS$ billions, 2025-2030 GenAI spending vs economicpotential of the industry FIGURE 5 Enterprise GenAI: Market share ofLLMs in 2024 in % FIGURE 18 FIGURE 12 VC investments in GenAI, 2014-2024, US$ Millions Evolution to multimodal GenAI agents FIGURE 13 FIGURE 6 GenAI vs Agentic AI approach totask completion Gen AI opportunity by functionin US$ billion: Banking State of Generative AI in the enterprise Enterprise Market &Technology Landscape spend over US$7 billion annually in capital investmentto facilitate GenAI-related new power generationalone. Additionally, they will also need to build thesupporting infrastructure, such as the transmissionwires that transport electricity over long distancesand distribution cables that carry electricity to homes,making the overall investment much higher. According to a 2025 U.S.-focused study by McKinsey,as many as 71% of the organizations use GenAI inat least one business function, up from 65% in early2024. Therefore, it is no surprise that global GenAIspending in the enterprise is estimated to grow fromUS$4.0 billion in 2025 to US$19.2 billion in 2030 at aCAGR of 36.8%. While 2024 marked the year that GenAI becamea strategic imperative for the enterprise, ascompanies scaled and learned from their pilots,2025 has begun to witness