1、1 Sponsored by:Cloud Market Trend Report Data Management in the Age of AI March 2026 2 Data Management in the Age of AI|2026 FUTURIOM.COM Cloud Market Trend Report Highlights and Key Findings Good data is essential to enterprise AI.Reaping the rewards of AI requires datathat is clean,clear,and ready

2、 to be transformed into effective machine-readableformat.But many enterprises are struggling to meet these requirements.HPC storage systems formed the basis for todays high-end AI data managementsystems.DDN,VAST Data,and WEKA have extended their products to fitaccelerated computing and AI workflows,

3、realizing significant performanceimprovements.Linkage to AI pipelines is key.The capability to connect data stores directly to AIclusters of GPUs,XPUs,and CPUs is on the rise.Data management platforms are rebranding as AI platforms.Databricks and Snowflakehave added vector search,integral models,and

4、 other features to support AI development.Enterprise storage products are evolving into data management platforms.Whether on-premises or in the cloud,or both,traditional storage vendors haveadopted a range of technologies to prepare data for AI workflows.No single solution is comprehensive.While man

5、y products and services perform a rangeof data management functions,enterprises will need combinations plus their own effortsto address AI workflows.Some companies highlighted in this report:Attimis,Backblaze,Cloudian,Confluent,CTERA,DataCore Software,Databricks,Datadobi,dbt Labs,DDN,Dell,Everpure(f

6、ormerly Pure Storage),F5,Fivetran,Hammerspace,Hitachi Vantara,HPE,IBM,Informatica,Komprise,Matia,Matillion,MinIO,Nasuni,NetApp,NVIDIA,Panzura,PEAK:AIO,Qumulo,Redpanda,Scality,Snowflake,UnifyApps,VAST Data,VDURA,Vultr,Wasabi,WEKAUnlock high-performance AI with reliable,secure delivery of massive data