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Gartner Research UnravelingTomorrow’sCloud ComputingLandscape Sid Nag, Yefim Natis, Ed Anderson, Michael Warrilow,Miguel Angel Borrega, Ray Valdes, Tigran Egiazarov,Ang Troy, Daryl Plummer 7 February 2024 Predicts 2024: Unraveling Tomorrow’s CloudComputing Landscape 7 February 2024 - ID G00800051 - 22 min readBy Analyst(s): Sid Nag, Yefim Natis, Ed Anderson, Michael Warrilow, Miguel Angel Borrega,Ray Valdes, Tigran Egiazarov, Ang Troy, Daryl Plummer Initiatives:I&O Platforms Cloud computing’s role as a key driver of technology innovationcontinues unabated. Infrastructure and operations leaders look tothe cloud to drive their initiatives around GenAI, composableapplications and sustainability while keeping a keen eye on cloudexpenditure and sovereignty challenges. Additional Perspectives Summary Translation: Predicts 2024: Unraveling Tomorrow’s Cloud ComputingLandscape(24 April 2024)■ Overview Key Findings Cloud has become the de facto platform for supporting the needs of AI. However,challenges such as sovereignty, data privacy, application composability andsustainability remain for enterprise adoption of technologies, especially generativeAI (GenAI).■Specialty cloud providers are playing an increasing role in support of digitalinitiatives of organizations, including region-specific sovereign mandates.■Monitoring and measuring sustainability metrics as well as cost of cloud ownershipare top of mind for infrastructure and operations (I&O) leaders today.■ Recommendations IT leaders responsible for I&O platforms and cloud strategy must: Address nontechnical issues, such as sovereignty- and sustainability-related issues,for their GenAI adoption needs.■Prioritize composable modularity in their application architecture to support adaptivebusiness innovation, engineered by human builders today and by human-AIcollaboration in the future.■Look to specialty cloud providers who support their specific requirements if there isno hyperscaler that addresses these needs.■Appoint and assign accountability to empowered individuals for tracking andreporting on sustainability and cloud spend over time. Set goals for continuousimprovement.■ Strategic Planning Assumptions By 2027, 70% of enterprises adopting GenAI will cite sustainability and digital sovereigntyas top criteria for selecting between different public cloud GenAI services. By 2027, 80% of AI-generated SaaS applications will be up to 80% composite forefficiency of human-AI digital engineering. GreenOps and sustainability-enabled monitoring services to manage the carbon footprintof cloud workloads will rise from 5% in 2024 to 40% by 2027. Through 2026, 70% of organizations will expand their cloud investments with specialtycloud providers to support specific business requirements including digital sovereignty. By 2026, 40% of organizations will reduce the pace of their cloud adoption due tochallenges managing increasing public cloud expenditure. Analysis Figure 1: Cloud Is the Default Platform for Emerging Technologies and Trends In this research, we offer predictions around the main types of developments that weexpect will continue to exploit the cloud value proposition. They are happening in paralleland have interdependencies. But, together, they make the cloud more relevant for anexpanding set of more business-oriented constituencies within enterprise organizations. Let’s look at them one by one. The Critical Role of Public Cloud Providers in Enterprise Adoption of GenAI:GenAIexploration is accelerating. Public cloud providers are currently driving the GenAInarrative. Because of its scale and shared services model, cloud technology is best-suited for the delivery of GenAI-enabled applications at scale and the developmentof general-purpose foundation models. However, nontechnical aspects need to beaddressed so that organizations can operationalize GenAI to adopt this innovationfor their business needs, including sovereignty and sustainability issues.■ AI-Generated SaaS and Composability:The role of AI in software engineering islikely to become transformative. But the value of software, coded or generated, willremain measured in degrees of supported business empowerment. Empoweredbusiness innovates, experiments and is skilled at managing change, risk and rapidaction. Future AI models and tools will provide the direct connection from businessexpression to digital experience by matching the agility of business thinking to thecomposable modularity of application software and the elastic scale of the cloud.■ GreenOps and Sustainability Monitoring Services for Cloud Workloads:Thepressure from investors, customers, regulators and governments about sustainabilityis forcing organizations to manage and optimize their IT carbon emissions toachieve their environmental sustainability goals. New processes, capabilities andtools will be introduced, oriented to the monitoring and management of energyconsumption and carbon emissions for workloads deployed