AI智能总结
Balancing speed and spend Table ofcontents Who shouldread this reportand why? How can we optimize cloud spend without compromisingAI performance or innovation? And what is the true cost ofscaling AI workloads in the cloud? And how do we measureROI for increasing Gen AI adoption and siloed SaaSspending across functions? On-Demand tech is here tostay, so how can organizations optimize implementation? defense, automotive, life sciences, manufacturing,consumer products, retail, energy and utilities,telecom, high tech, banking and capital markets,insurance, and the public sector. The report alsoincludes qualitative findings from 10 industry leaders. This report will attempt to answer these questions. Itwill be highly useful to stakeholders across technology,finance, business, and FinOps functions. CFOs, COOs,CIOs, CTOs, business unit heads, and FinOps heads will findinsights that support strategic decision-making, financialagility, cloud cost optimization and value enablement. The economics of On-Demand technologies focuseson controlling costs and maximizing value fromcloud services, software-as-a-service (SaaS), andgenerative AI (Gen AI). Transparency and controlover operational expenditure (OpEx) are critical.The evolution from cloud FinOps to On-Demandconsumption FinOps demands a holistic approach tocost management that will drive efficiency, reducetotal cost of ownership (TCO) and carbon emissions,and unlock greater value from every digitalinvestment and operational decision. The report draws on comprehensive analysis of the resultsof a survey of 1,000 leadership executives (CXOs, vicepresidents, and directors) at organizations with annualrevenue above $1 billion in 14 countries: Australia, Brazil,Canada, France, Germany, India, Italy, Japan, Netherlands,Singapore, Spain, Sweden, the UK, and the US. The surveyspans 12 key industries and sectors: aerospace and On-Demand tech is gaining traction andunlocking benefits But there are challenges Costs and complexity are rising Executivesummary As digital transformation accelerates, organizations areincreasingly adopting On-Demand technologies such ascloud, software-as-a-service (SaaS), and Gen AI. Theseserve to scale innovation, improve agility, and supportcompetitiveness. Despite these benefits, 82% of executives report significantincreases in cloud, SaaS, and Gen AI costs. More than six in10 (61%) say this is a drag on profitability. Inflation, AI/GenAI/agentic AI adoption, and demand for digital infrastructureemerge as cost drivers. Complexity in pricing and limitedvisibility exacerbate the issue. We see 55% of organizationsplanning to relocate workloads across public clouds and 45%considering moving workloads to private clouds, driven bycost, compliance, and sovereignty concerns. Our global survey of 1,000 organizations, each with over$1 billion in annual revenue, reveals that 77% of executivesview cloud scalability and performance as critical to businessgrowth and differentiation. IT/tech spending is projectedto rise from 4.3% to 5.9% of revenue over the next year,with a notable pivot from maintenance (run) to innovation(build). In this period, the share of On-Demand tech in ITbudgets is expected to grow from 29% to 41%. Advancedorganizations, whose IT environment is all or predominantlyin cloud, are making cost savings, accelerating productinnovation, amplifying operational productivity, andimproving quality of service. Geopolitical tensions, evolving regulations, and concerns overdata control, have prompted nearly half (46%) of organizationsto embed cloud sovereignty into their cloud strategies. Whilethis shift often raises operational costs, organizations see it asessential to managing regulatory risk, avoiding penalties, andensuring long-term resilience. Notably, 42% are definitely and37% tentatively willing to pay an average 11% premium forsovereign cloud. Organizations are overrunning their budgets As a result of this On-Demand tech sprawl, organizations are facingvisibility, transparency, and predictability issues: Cloud and other On-Demand technologies such as SaaS andGen AI are driving innovation, but they’re also pushing upcosts. As organizations scale usage, many face cost visibility,governance, and resource-optimization issues. Three-quarters (76%) exceeded public cloud budgets (10% averageoverrun); 68% overspent on Gen AI; and 52% on SaaS (11%average overrun) in the past 12 months due to underutilizedresources, vendor pricing, and decentralized procurement. ■64% say they are unable to accurately forecast cloud budgets■59% say cloud waste is a big challenge■58% say their organization's On-Demand tech costs are “abig black hole”■56% say they face bill shocks due to unpredictable spikes incloud usage Executivesummary “Unmanaged” IT is creating inefficiencies, security risks,and inflated costs Investments in On-Demand tech are falling short Despite significant investments in cloud, SaaS, and Gen AItechnologies, only a minority