2025年IMD人工智能成熟度指数：行之有效的AI战略

How leaders of the most successful companiesare scaling AI technologies across 10 industriesfor competitive advantage By Tomoko Yokoi, Michael Wade, and Jialu Shan TONOMUS Global Center forDigital and AI Transformation Contents Executive summary04 The 2025 results08 What does it take to be AI-mature in 2025?10 Cross-sector overview14 Sector-specific highlights16Automotive17Insurance18Consumer Goods and Retail19Energy and Utilities20Financial Services21Healthcare22Manufacturing23Pharmaceuticals24Telecommunications25Technology26 Conclusion28 Executivesummary If 2024 was the yearcompanies experimentedwith GenAI, 2025 is theyear organizations areracing to scale. Our 2025 AI Maturity Index measures how the top 300 companies inthe Forbes Global 2000 are advancing their AI strategies. The indexevaluates an organization’s AI maturity across five key dimensions todetermine how effectively it leverages AI technologies to transformbusiness operations, unlock new value, and future-proof its competitiveposition. The dimensions are: strong executive support, investment intechnology and infrastructure, leveraging AI for operational excellence,investment in workforce development and culture, and the establishmentof AI ethics and risk management. Together, these dimensions provide acomprehensive snapshot of how effectively AI is being embedded andscaled within an organization’s operating model. The race is on, and the stakes are rising. In 2025, thecompetitive advantage does not lie in who’s pilotinggenerative AI but in who has rolled it out at scale. Thecentral managerial insight is this: AI transformationis more about alignment than algorithms; aligningtechnology with governance, partnerships withpurpose, and human capability with ambition. Ouranalysis reveals that companies in the top 100 of theAI Maturity Index show consistently higher growthrates in both revenue and market capitalization,suggesting that AI maturity may correlate withfinancial momentum.1 While technology giants dominate the top rungs ofthe AI Maturity Index, the Financial Services sectorstands out for its breadth of representation, with 32Financial Services firms in the top 100, exceeding theTechnology sector’s 21. This finding underlines thatthe Financial Services sector is rapidly becoming aproving ground for enterprise AI at scale. Across other sectors,distinct transformationnarratives are taking shape: •InAutomotive, Volkswagen Group and Mercedes-Benz are redefining mobility through software-defined vehicles and in-house AI copilots. •In thePharmaceuticalsector, AstraZeneca andMerck & Co. are applying AI to drug discovery andclinical optimization. •InConsumer Goods and Retail, Walmart andKroger are leading with AI-driven supply chains andadaptive merchandising. •InTelecommunications, Deutsche Telekom andKDDI Corporation are re-architecting networks andcustomer interactions through AI-first principles. •And inTechnology, Nvidia and Microsoft are notonly enabling the GenAI revolution, they are settingthe maturity benchmarks others are racing tomatch. •InEnergy and Utilities, Equinor and Engie areembedding predictive intelligence into grid andcarbon systems. •InFinancial Services, Mastercard® and KKR arescaling generative AI (GenAI) in fraud preventionand investment modeling. What sets AI leaders apart, along with technologicalprowess, is organizational maturity. Companiesleading the AI Maturity Index demonstrate a clearcapacity to translate pilots into performancesupported by strong governance, integrated dataplatforms, skilled talent, and deep ecosystemcollaborations. While many organizations remainstuck in pilot purgatory, the frontrunners are scalingAI across the enterprise, embedding it into workflows,decision systems, and customer touchpoints. •InHealthcare, Medtronic and CVS Health areharnessing AI to personalize care and optimizedelivery. •InInsurance, Ping An and Zurich Insurance arepioneering ecosystem-based AI platforms. •InManufacturing, Siemens and GE Aerospace areembedding AI across design-to-production cycles. The 2025 results What does it take to beAI-mature in 2025? AI leadership must be central, not peripheral Across all industries, AI success is anchored in top-level commitment and structure.Companies that have advanced furthest, such as Mercedes-Benz (Chief Data & AI Officer),Zurich Insurance (Group Head of AI), and Microsoft (Chief AI Transformation Officer), haveelevated AI governance to the C-suite, making it part of strategic decision-making ratherthan an isolated innovation function. From our research, five core lessons emerge aboutwhat it takes to lead in enterprise AI today. Takeaway Executives should formalize AI leadership and align it with business strategy.Appointing a senior AI leader or creating an AI council signals intent and coordinatesadoption across functions. AI readiness is organizational, not just technical From efficiency to creativity and growth The most mature firms pair te