2026亚马逊AI商业价值报告

IDC

January2026

BusinessValueWhitePaperSponsoredbyAWS

TheBusinessValueof

AmazonBedrock

andAmazonSageMakerAI

DavidSchubmehl

MatthewMarden

ResearchVicePresident,

BusinessValueStrategyPractice,IDC

ResearchVicePresident,AIandAutomation,IDC

TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

TableofContents

Clickanytitletonavigatedirectlytothatpage.

TableofContents

2

BusinessValueHighlights

3

ExecutiveSummary

4

SituationOverview

5

AmazonBedrockandAmazonSageMakerAI

5

AmazonBedrock

5

AmazonSageMaker

6

TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

7

StudyDemographics

7

OverviewofStudyParticipants’GenAIActivitiesandInitiatives

8

ChoiceandUseofAmazonBedrockandAmazonSageMakerAI

9

BusinessValueResults

10

SummaryofQuantitativeBenefits

11

GenAIModelandDevelopmentBenefits

13

GenAIApplicationandUseCaseImpact

17

GenAIGovernanceandSecurityBenefits

19

ITStaffandCostEfficiencies

21

ROIAnalysis

22

Challenges/Opportunities

24

Conclusion

24

AppendixA:IDCBusinessValueMethodology

25

AppendixB:SummaryofFinancialBenefits

26

AppendixC:AccessibleDataTables

28

AbouttheIDCAnalysts29

MessagefromtheSponsor

30

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TheBusinessValueofAmazonBedrock

andAmazonSageMakerAI

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BusinessValueHighlights

Clicktojumptorelatedcontent.Click“ReturntoHighlights”togetbacktothispage.

421%three-yearROI

9-monthpaybackoninvestment

$131,600averageannualvalueachievedpergenerativeAI(GenAI)usecase

43%fastertocreateanewGenAImodel

58%fasterdevelopmentlifecycle,newGenAIusecase

39%higherGenAIdevelopmentteamproductivity

$10.16millionhigherrevenueperorganizationperyear

$3.07millionoperationalcostsavingsperorganizationperyear

39%higherproductivity,impactedline-of-businessusers

35%moreefficientITsecurityteams

TheBusinessValueofAmazonBedrock

andAmazonSageMakerAI

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ExecutiveSummary

GenAIisrapidlyreshapingthetechnologylandscape,withoverhalfoflargeorganizationsalreadydeployingGenAIsolutionsandmanymoreactivelyinvestinginpilotsand

productionusecases.AccordingtoIDC’slatestresearch,theopportunityforGenAI

inthemarkettodayisimmense:Organizationsaremovingbeyondexperimentationto

scaleGenAIforrealbusinessimpact,leveragingitscapabilitiestoautomateworkflows,

enhancedecision-making,andunlocknewsourcesofvalueacrossindustries,whilethosewhoinvestearlyandstrategicallywillgainasignificantcompetitiveadvantageasthe

technologymaturesandadoptionacceleratesglobally.

IDCconductedaBusinessValuestudybyinterviewingorganizationsusing

AmazonBedrockandAmazonSageMakerAI(AWSAIservices)todevelop,customize,anddeployGenAImodelsandapplications.Theresearchfoundthatthese

AWSservicesaccelerateGenAImodelcreation,streamlineGenAIdevelopment

workflows,andenhancethedeliveryofpersonalized,relevantAI-andML-driven

customerexperiences.Asaresult,organizationsreportednotableimprovementsinGenAI-relatedaccessibility,productivity,andoperationalefficiencies.

IDCprojectsthatinterviewedcustomerswillrealizeaverageannualbenefitsof$131,600perGenAIusecase($5.63millionperorganization)throughusingtheseAWSservicesandsolutionsby:

•AcceleratingGenAImodeldeliveryandapplicationdevelopmentwithstandardizedworkflowsandinterfaces,easeofcustomization,androbustsecurityandgovernance

•Improvingpersonalizationandcustomerexperiencethroughdeliveryofrelevant

andhigh-performingGenAIapplicationsandusecases,whichdriveshigherrevenuebyincreasingcustomerengagementandmeetingcustomerneeds

•IncreasingtheproductivityandeffectivenessofteamsresponsibleforGenAI

andML-drivenapplicationsandusecases,includingmodeldevelopment,

modelcustomization,andinfrastructuremanagement,byminimizingmanualeffortandcomplexity

•Ensuringstrongergovernanceandsecuritythroughbuilt-incontrolsandstandardizedinterfacesthatsupportcompliance,reduceprivacyrisk,andimproveoversightof

GenAImodelsandusecases

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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SituationOverview

GenAIisrapidlytransitioningfromexperimentalpilotstobroadadoption,withnearlyhalfoforganizationsalreadydeployingGenAI-enhancedapplicationsinproductionand

themajorityexpectingsignificantincreasesinGenAIinvestmentoverthenextyear(IDC’sFutureEnterpriseResiliencyandSpendingSurvey,Wave10,November2024).

Overthenextfewyears,GenAIwilldrivetransformativebusinessvaluebyautomating

tasks,enhancingdecision-making,andenablingnewusecasesacrossindustries,withearlyadoptersgainingacompetitiveadvantageasthetechnologymaturesandbecomescentraltodigitalinnovationstrategies.

AmazonBedrock

andAmazonSageMakerAI

AmazonBedrock

AmazonBedrockisAWS’splatformforbuildinggenerativeAIapplicationsandagentsat

productionscale.Itprovidesunifiedaccesstoawidevarietyoffoundationmodelsfrom

leadingproviderssuchasAnthropic,DeepSeek,MistralAI,Meta,OpenAI,andAmazon’sownNovafamilyofmodels,allaccessibleviaasingleAPI.AmazonBedrockenablesenterprisestoquicklyexperiment,customize,anddeployGenAIsolutionswithenterprise-gradesecurity,

privacy,andgovernance.

KeyfeaturesofAmazonBedrock:

•Modelchoiceandcustomization:

AmazonBedrockoffersaccesstohundredsoftopfoundationmodels,includingAmazon

Novamodels(text,image,document,video,andinteractivespeech),andsupportscustommodelimport,fine-tuning,andretrieval-augmentedgenerationworkflows.Thisflexibilityallowsorganizationstoselecttheoptimalmodelfortheirusecase,balancingaccuracy,

speed,andcost.

•AgenticAIcapabilities:

ThelatestinnovationisAmazonBedrockAgentCore,anagenticplatformforbuilding,

deploying,andoperatingeffectiveagentssecurelyatscale.AgentCoreincludesruntime,short-andlong-termmemory,agatewayfortooldiscoveryandintegration,identity

management,observability,acodeinterpreter,browserautomation,qualityevaluationsandpolicycontrols.Theseservicessupportcomplex,long-runningagentworkflowsandmultisteptaskswithenterprise-gradereliabilityandsecurity.

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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•Marketplaceintegration:

AWShaslaunchedanAIagentmarketplace,streamliningaccesstoprebuiltagents,agent-drivensoftwaresolutions,anddevelopmenttools.ThisecosystemincludesofferingsfrompartnerssuchasSalesforce,Accenture,AutomationAnywhere,

andC3.ai

,enablingrapidprocurementanddeploymentofagents.

•Enterprise-gradesecurityandgovernance:

Bedrockincorporatesrobustguardrails,modelevaluationtools,andcompliance

features,includingsupportforresponsibleAIandISO/IEC42001certification.ItintegrateswithAWS’sbroadersecurityinfrastructurefordataprotectionandaccesscontrol.

•Scalableinfrastructure:

AmazonBedrockleveragesAWS’scustomsiliconchips(TrainiumandInferentia)and

GPUinfrastructureforhigh-performance,cost-optimizedAIworkloads.Innovations

suchasAmazonS3Vectorsenablescalable,low-costvectorstorageforagentmemoryandsemanticsearch.

AmazonSageMaker

AmazonSageMakerAIisAWS’sflagshipplatformforMLandAImodeldevelopment,supportingtheentireAI/MLlifecyclefromdatapreparationtomodeldevelopment,deployment,monitoring,andgovernance.

KeyfeaturesofAmazonSageMaker:

•Integrateddevelopmentenvironment:

SageMakerUnifiedStudiointegratescode-firstandvisualdevelopmenttools,

low-code/no-codeGenAIappbuilders(SageMakerCanvas),naturallanguage–baseddevelopment(AmazonQ),andGit-basedcollaboration.ItprovidesseamlessaccesstodataacrossAmazonS3,SageMakerLakehouse,Redshift,andfederatedsources.

•ComprehensiveMLandAImodellifecycle:

SageMakerAIsupportstraditionalMLmodels,GenAIfoundationmodeldevelopment(pretraining,fine-tuning,anddistillation),AImodelcustomization,andagenticAI

development.Itofferstoolsfordatalabeling,cleansing,enrichment,biasdetection(Clarify),explainability,modelregistry,andmonitoring(ModelMonitor).

•Scalabilityandperformance:

FeaturessuchasSageMakerAIHyperPodenabledistributedtrainingacrossthousandsofaccelerators(includingthelatestEC2P6e-GB200UltraServerswithNVIDIA

BlackwellGPUs),supportinglarge-scalemodeldevelopment.Real-timeinferencingandstreamingcapabilitiesaretightlyintegratedforlow-latency,high-throughput

predictions.

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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•GovernanceandresponsibleAI:

SageMakerAIprovidesrobustgovernancetools,includingmodelcards,acentralizedmodelregistry,accesscontrols,andintegratedsecurity.Itsupportsresponsible

AIpracticeswithbiasdetection,explainability,andmonitoringformodeldriftandperformance.

•Partnerecosystemandintegrations:

SageMakerStudionativelyintegrateswithleadingAI/MLpartners(Comet,Deepchecks,Fiddler,andLakeraGuard)forexperimenttracking,evaluation,observability,

andsecurity.Itsupportsopenstandards(ApacheIcebergandRESTAPIs)andinteroperabilitywiththird-partyplatforms.

•No-codeandlow-codecapabilities:

SageMakerCanvasenablesbusinessanalystsandnon-datascientiststobuildMLmodelswithoutcoding,democratizingAIdevelopmentacrossorganizations.

TheBusinessValueofAmazon

BedrockandAmazonSageMakerAI

StudyDemographics

IDCconductedresearchtoassessthebusinessvalueofAmazonBedrockand

AmazonSageMakerAIbyinterviewingnineorganizationsactivelyusingthesefullymanagedAWSGenAIsolutions.Interviewsweredesignedtounderstandthe

quantitativeandqualitativeimpactsforthesestudyparticipantswhenusingAmazonBedrockandAmazonSageMakerAI.

AsTable1(nextpage)shows,theinterviewedorganizationsrepresentedadiversemixofindustries,includingthefinancialservices,businessandprofessionalservices,

healthcare,hightech,realestate,andtelecommunicationsindustryverticals,andwerebasedintheUnitedStates,theUnitedKingdom,andSingapore.Onaverage,theyhad

26,924employeesandanannualrevenueof$7.86billion(mediansof10,000employeesand$3.0billioninrevenue),reflectingtheenterprise-levelscaleoftheiroperationsandGenAIapplicationsandusecases.

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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Table1

DemographicsofInterviewedOrganizations

Demographics

AverageMedian

Numberofemployees

26,92410,000

NumberofITstaff

1,938800

Numberofbusinessapplications

790475

Annualrevenue

$7.86B$3.00B

Countries

UnitedStates(6),UnitedKingdom(2),Singapore

Industries

FinancialServices(3),BusinessandProfessional

Services(2),Healthcare,HighTech&Electronics,

RealEstate,Telecommunications

n=9;Source:IDCBusinessValueIn-DepthInterviews,October2025

OverviewofStudyParticipants’GenAIActivitiesandInitiatives

StudyparticipantsreportedthattheirGenAIinitiativesaremeanttoenhancecore

businessfunctions,improvecustomerexperiences,andgenerateoperationalefficiencies.TheyaimtointegrateGenAIfunctionalitiesintointernalworkflowsandcustomer-facing

products,andtheydescribedusingAmazonBedrockandAmazonSageMakerAItoacceleratemodelandapplicationdevelopment,personalizecontent,andautomateprocesses.Overall,interviewedorganizationssharedobjectives,suchasbuilding

scalable,repeatableGenAIusecasesalignedwithstrategicbusinessobjectivesandlonger-termstrategies.

StudyparticipantsspokeindetailabouttheGenAIapplicationsandusecasestheyarebuildinganddeliveringwithAmazonBedrockandAmazonSageMakerAI,including:

•Customer-facingapplications,whichincludeintelligentsearch,

personalizedrecommendations,andAI-poweredproductfeatures

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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•Contentgenerationandautomation,whichincludescalablecreationofmarketing,medical,andoperationalcontent

•Operationalanddecisionsupport,whichincludesfrauddetection,underwriting,résuméjobmatching,andinternalknowledgeretrieval

•AgenticandconversationalAI,whichincludesAIassistantsforfinancialadvisors,procurement,andengineeringknowledgeaccess

ChoiceandUseofAmazonBedrockandAmazonSageMakerAI

StudyparticipantschoseAmazonBedrockandAmazonSageMakerAIfortheirscalability,flexibility,andbreadthofcapabilitiesthatallowthemtostreamlineGenAImodel

developmentanddeployment.TheycitedAmazonBedrock’ssecurity,stability,accesstohigh-qualityfoundationmodels,andsimplifiedorchestrationaskeyadvantages.

TheyvaluedAmazonSageMakerAIforitspowerfulcompute,integrateddevelopmentenvironment,andsupportforcombiningGenAIandMLworkflowsthatreduce

complexityandacceleratetimetoproduction.

Forsolutionsandservices,studyparticipantsemphasizedAWS’sstrongsupport,built-ingovernance,andabilitytounifytheirGenAIefforts.Interviewed

customerssharedmoredetailabouttheirconsiderations:

QualityofAnthropicmodelsandrelationship(AmazonBedrock):

“Anthropicmodelsworkverywellforus,andAWSprovidesstrongsupportandmaintainsasolidrelationshipwithAnthropic.We’vefoundthatusingAnthropicmodelsis

sometimeseasierbecauseofthatclosepartnership.”

Economiesofscale(AmazonSageMakerAIandAmazonBedrock):

“OneofthebiggestfactorsweconsideredwithAWSGenAIsolutionswaseconomy

ofscale.Whencomparingsmallerproviders,it’shardtojustifymovingawayfroma

massive,provenplatformthatdeliversresults.ThatwasakeydriverbehindourdecisiontogowiththeseAWSsolutions.”

Accesstoleadingfoundationmodels(AmazonBedrock):

“AmazonBedrockprovidesfoundationmodelsbuiltontrusteddata,sowedon’tneed

tocreateourown.Theprimarysavingscomefromleveragingtheseexisting,

reliablemodels.Thissimplifiesdevelopmentandgivesusaccesstoadiverseselectionofmodelswecanusetoscale.”

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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Computationpowertotrainmodels(AmazonSageMakerAI):

“WeuseAmazonSageMakerAItotrainMLmodelsorforverypowerfulinstancesasneeded.ThismeansthatweuseAmazonSageMakerAIwheneverweneed

computationalpower.”

StudyparticipantsreportedusingAmazonBedrockandAmazonSageMakerAIto

supportarangeofGenAIinitiativesfocusedonimprovingbusinessoutcomes

throughscalablemodeldevelopmentandapplicationdeployment.Onaverage,

organizationsreportedaccessingandusing23GenAIfoundationmodelsanddelivering

43GenAIusecaseswithAmazonBedrockandAmazonSageMakerAIenvironments.

Moreover,theyconnectednearlyhalfoftheirtotalrevenuetotheseGenAIapplications

andusecases,demonstratingtheemergingcentralityofGenAItotheirbusinesssuccess.PleaseseeTable2(below)foradditionaldetailsaboutstudyparticipants’useof

AmazonBedrockandAmazonSageMakerAI.

Table2

UseofAmazonBedrockandAmazonSageMakerAIbyInterviewedOrganizations

Use

Average

Median

NumberofGenAIfoundationmodels

23

3

NumberofGenAIusecases

43

13

Percentofrevenuesupported

44%

47%

n=9;Source:IDCBusinessValueIn-DepthInterviews,October2025

BusinessValueResults

StudyparticipantsconsistentlyreportedthatAmazonBedrockandAmazonSageMakerAIhaveenabledthemtoacceleratetheirdeliveryofGenAI-drivenfunctionality,

improvepersonalizationofservices,andachievemeaningfuloperationalefficienciesandbusinessgains.ByleveragingAmazonBedrock’ssecureaccesstohigh-qualityfoundationmodelsandAmazonSageMakerAI’sintegratedtoolsforGenAIand

MLmodeltraininganddeployment,theyhavestreamlinedtheirGenAIworkflows,

reducedmanualeffort,andscaledtheirGenAIusemoreeffectively.Acrossstudy

participants,theypositionedtheseAWSGenAIservicesandsolutionsasinstrumentalindrivinginnovationandaligningGenAIinitiativeswithstrategicbusinessgoals.

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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InterviewedAWScustomersdescribedhowtheyhavebenefitedfromusingAmazonBedrockandAmazonSageMakerAI:

FoundationforscaleandinnovationinGenAI(AmazonSageMakerAI):

“WeplantoleverageinnovationandefficiencyfromGenAIwithAWS.WeexpectAWStocontinueinnovatingandstreamlining,stayingattheforefrontoftheevolvingGenAIlandscape.Thispartnershipenablesustoscaleandinnovateasacompany.”

Abilitytopersonalize(AmazonBedrock):

“ThebiggestbenefitofusingAmazonBedrockispersonalization.Thislevelofrelevancedrivesconversionsandsubscriptions,asusersseecontentthattrulymeetstheirneeds.”

EaseofbuildingandtrainingGenAImodels(AmazonSageMakerAI):

“AmazonSageMakerAIisagamechangerforbuildingandtrainingGenAIfoundation

models.It’salmostlikedraganddrop.WithSageMakerAI,youcanconfigureyoursetup,chooseyourtasks,andeasilyconnect.Thebarrierstoentryarelow.”

Driverofcustomerbuyingdecisions(AmazonBedrock):

“ThebusinessimpactofGenAIwithAmazonBedrockismostimportant.Whenwe

demofeatures,theymakeorbreakbusinessdeals.Thesearchfeatureconsistently

blowsclientsaway.Itclearlyhelpspositionusasaleaderandleavesastrongimpressiononourcustomers.”

SummaryofQuantitativeBenefits

BasedoninterviewswithcurrentAWScustomers,IDCcalculatesthattheywill

achieveaverageannualbenefitsof$131,600perGenAIusecase($5.63million

perorganization)throughtheiruseofAmazonBedrockandAmazonSageMakerAI,withbenefitsintheseareas:

•GenAImodelanddevelopmentbenefits:

Studyparticipantscanacceleratemodelcreationandapplicationdevelopment

bystreamliningworkflowsandreducingcomplexity,generatingtimesavingsand

productivitybenefitsformodeling,development,andgovernanceteamsworthanannualaverageof$62,600perGenAIusecase($2.68millionperorganization).

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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•GenAIusebenefits:

ByprovidingGenAIapplicationsandusecasesthatenhancepersonalization,

automatetasks,andimprovecustomerengagement,studyparticipantswillrealizenetrevenuegains,productivitybenefits,andoperationalcostsavingsworthan

annualaverageof$55,100perusecase($2.35millionperorganization).

•Costandstaffefficiencies:

AWSGenAIservicesenableinfrastructureandsecurityteamstooperatemore

efficientlyandallowstudyparticipantstoreducethecostsassociatedwithotherGenAIsolutions,therebycontributingstaffefficienciesandcostsavingsworthanannualaverageof$13,900perusecase($595,100perorganization).

Figure1

AverageAnnualBenefitsperGenAIUseCase

($perinterviewedorganization)

$131,600

$62,600

Modeldevelopmentbenefits$55,100

Usecasebenefits$13,900

Costandstaffefficiencies

n=9;Source:IDCBusinessValueIn-DepthInterviews,October2025

Acrossstudyparticipants,theypositionedtheseAWSGenAIservicesandsolutionsasinstrumentalindrivinginnovationandaligningGenAIinitiativeswithstrategic

businessgoals.

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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GenAIModelandDevelopmentBenefits

AmazonBedrockandAmazonSageMakerAIhaveenabledstudyparticipantsto

moreefficientlycreate,fine-tune,anddeployGenAIfoundationmodelsbyoffering

scalableenvironmentstailoredtodifferentstagesoftheGenAIlifecycle.Interviewed

organizationsexplainedthatAmazonBedrockservesasaunifiedmeansofaccessing

andorchestratingleadingfoundationmodels,suchasClaudebyAnthropic,andalso

enablingefficientcustomizationandreducingfrictionassociatedwithexperimentation.Meanwhile,theydescribedusingAmazonSageMakerAItobuild,train,andfine-tune

custommodelsthatalsoincludedcustomAIandMLcomponentsandcapabilities.AmazonSageMakerAIwasespeciallyimpactfulwhenstudyparticipantsrequired

morecontrolovermodelbehavioranddatahandlingbecauseitoffersdrag-and-drop

interfacesthroughSageMakerStudio,built-inalgorithms,andreusablecomponentsthattheyusetoreadilyfine-tunemodels.

InterviewedorganizationsprovideddetailsabouthowtheseAWSGenAI

servicesandsolutionshavebenefitedtheminthecreation,customization,anddeploymentofGenAIfoundationmodels:

Muchfastermodeldeployment(AmazonSageMakerAI):

“Previously,deployingaGenAImodelrequiredtightlyintegratingitwithourengine

infrastructure,takingadatascientistthreetofourweekstocodeasolution.Now,withAWSSageMakerAI,thattakesabout25minutes.”

Easeoffine-tuningafoundationmodel(AmazonSageMakerAI):

“Ataminimum,creatingaGenAIfoundationmodelis50%moreefficientwith

SageMakerAIbecauseitusedtobedifficulttofinetuneamodel,butnow,withAWS,itisveryeasy.”

Figure2(nextpage)showshowAmazonBedrockandAmazonSageMakerAIhave

enabledstudyparticipantstomoreeffectivelyprovidefoundationmodelstosupport

GenAIefforts.Theynotonlydelivernewmodelsfaster(43%faster)buthavealsomore

thandoubledthenumberoffoundationmodelsavailable(103%increase).ThesebenefitsenablebroaderusabilityoftailoredandimpactfulfoundationmodelsforimpactfulGenAIusecases.

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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Figure2

ImpactonGenAIModelCreationandDelivery

Seethefiguredatainan

accessibletableformat.

Before/WithoutAWSGenAISolutionsWithAWSGenAISolutions

15.18.69.319.1

NumberofnewGenAImodels

peryear

Timetocreate

newGenAImodel,weeks

n=9;Source:IDCBusinessValueIn-DepthInterviews,October2025

43%

faster

103%

more

Staffresponsibleforfoundationmodelsprovidemorevaluetotheirorganizationswhen

theycreateanddeliverthesemodelsfasterandatscale.AsTable3(below)shows,

IDCcalculatesthatGenAImodeldevelopmentteamshaveachievedaverageproductivitygainsof45%throughusingAmazonBedrock(35%productivitygain)andAmazon

SageMakerAI(49%productivitygain).

Table3

ImpactonProductivityofGenAIModelingTeams

Productivity

Before/

Without

AWSGenAI

Solutions

WithAWS

GenAI

Solutions

Difference

Benefit

Equivalentproductivity,FTEsperorganization

9.2

13.3

4.1

45%

Valueofequivalent

productivityperorganization

$918,800

$1,331,100

$412,200

45%

n=9;Source:IDCBusinessValueIn-DepthInterviews,October2025

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TheBusinessValueofAmazonBedrockandAmazonSageMakerAI

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