GlobalDataInsightsSurvey

TheStateof

DataandAI

inAsiaPacific

ViewpointsfromIndustryLeaders

ForewordIntroductionTrendsNextsteps

Tableofcontents

Executivesummaryandintroduction 3

Trends

Trend1 7

Data-firststrategiesadvanceAIinnovation

Trend2 16

Dataispervasiveandgrowing

Trend3 21

Datalocalizationmattersmorethanever

Trend4 26

Datadrivesthebusinessagenda

Buildinfrastructurefoundations

fordataandAIsuccess 30

TheStateofDataandAIinAsiaPacific

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ForewordIntroductionTrendsNextstepsTheStateofDataandAIinAsiaPacific

HowAPACenterprisesareleadingthewayinDataandAI-Readiness

Theglobalartificialintelligence(AI)revolutionishere

andcompaniesacrossAsiaPacific(APAC)aregearing

uptomaximizetheirAIadvantage.IfenterpriseswanttocapitalizeonnewAIinitiatives,ITleadersneedtoharnesstherightdigitalinfrastructurestrategytoensureAIand

otheremergingtechnologiesaresupportedfromtheveryfoundationallayers.Thisincludeshavingtherightdata

infrastructure,systems,andITenvironmentstofutureprooftheirAIinvestments.

AccordingtoIDC,investmentsinAIwillbesignificantacrossallmajorregions,withAPACexpectedtohavehigherfive-yeargrowthlevels,withimplementation

growing“atafive-yearcompoundannualgrowthrate(CAGR)of95.5%1However,ITleaderswillfacethe

challengesofdatasovereigntyandadheringtothevarieddataregulationsacrossdifferentmarketsintheAPAC.

And,accordingtotheCIO.com,“ithashence,

becomeofparamountimportanceforcompaniesandinstitutionstocontinuedigitaltransformationanddigitaloptimizationundertheambitofdigitalgovernanceanddatasovereignty.”2

Againstthisbackdrop,DigitalRealtycommissionedthesecondeditionoftheGlobalDataInsights

Survey,withresponsesfieldedbetweenOctober30andDecember4,2023.Thegoal:gaininsightsinto

howenterprisesarecreatingbusinessstrategiesandredesigninglegacyITinfrastructurestosupport

theirAIambitionsandgoals.

Inthisreport,wefocusedoninputfromITleadersin

Australia,HongKong,India,Japan,Singapore,and

SouthKoreatoprovidepeerinsightsintohowdataandAIreadinessstrategiesarebenefitingtheirenterprises.

WithalongjourneyaheadasAIinnovationsoccuratarapidpace,companiesinAPAChavemadeagoodstartbyadvancingAIinitiativesandkeepingpacewithinnovationgloballybyprioritizingapproachestodatalocationmanagement.

APACisadiversemarketwitheachcountryhavingitsownnuancesarounddataregulationandprivacywhichcan

behardtonavigate.IhopethattheseinsightsfromotherITleadersintheregioncanhelpyouplanyourjourneytoachieveyourdataandAIobjectives.

SereneNah

ManagingDirector,AsiaPacific,DigitalRealty

1IDC,WorldwideCoreITSpendingforGenAIForecast,2023–2027:GenAIIsTriggeringHyper-ExpansionofAISpending,December,2023.

2CIO.com,“DatasovereigntyanddigitalgovernanceinAPAC:What’snext?,”March19,2024.

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ForewordIntroductionTrendsNextsteps

AbouttheSurvey

AIraisesthestakesforenterprises

andITleaders.AIinitiativesaredata-intensive,fueledbyanearlyendless

streamofdata,ofteningestedinrealtimeornearrealtime.ITinfrastructurethatdoesntaccountforDataGravitycompromisessuccessfulAIinnovationandputscompaniesatriskofbeing

leftbehind.

Tounderstandwhatittakesto

succeedinthisnewera,wesurveyedrespondentsfromacrosstheglobetodiscoverhowtheyarerethinkingdatastrategiesprioritizingdata

investments,localization,andinsights

andtacklinguniquechallengesata

regional,local,andindustrylevel.

TheStateofDataandAIinAsiaPacific

Methodology

b

11

Industries

6

Countries

602

ITdecision-makers

Respondentsfrom6countries:

Australia,HongKong,India,Japan,Singapore,andSouthKorea

GlobalDataInsightsSurvey

34

questions

2,254

respondents

21

countries

11

industries

$100M$1B+

companysizebyrevenue

*Duetorounding,notallfiguresinthereportaddto100%.

TheStateofDataandAIinAsiaPacific

ForewordIntroductionTrendsNextsteps

Datagrowthattractsapplicationsandservices

Agrowing

DataGravity:

DATA

----------------?4------------------

challengeandopportunity

DataGravityreferstotheideathatdata

hasmass.Asthatmassgrows,itbecomesincreasinglydifficulttomoveorreplicate.

DataGravityistheattractiveforcecaused

byenterprisedatacreationandexchange,

drawingfromapplications,servers,andothersources.Asadatasetgrows,itattracts

applicationsandservices,creatingavirtuouscycleofmoredatacreation.

SERVICES

APPS

THROUGHPUT

LATENCY

----------------?4------------------

Figure1:PatentedDataGravityFormula,McCroryandBishop,DigitalRealty

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ForewordIntroductionTrendsNextstepsTheStateofDataandAIinAsiaPacific

Key

findings

ITleadersacrossAPACknowthattotrulyunlockthevalueofAIandreapthebenefitsofdata-driveninitiatives,theyneedtoinvestindataprocessing,storage,infrastructure,andanalyticstools.Whiletheystillfacechallengeswithinvestmentininfrastructureandleadershipbuy-in,theyareonthe

rightpathtobuildingasustainable,data-centricfuturethatwillpositionthemwellforaglobalAI

1.Data-firststrategiesadvanceAIinnovation

65%

ofcompaniesacrossAPACareactivelyexecutinga

formaldatastrategyfortheircurrentorplannedITlocations.

67%

areactivelyexecutinga

formalAIstrategytoeither

achieveoperationalefficiencyorlaunchabusinessor

serviceoffering.

4.Datadrivesthebusinessagenda

54%

expecttodevelopnewproductsandservicestoincreaserevenueandprofitgrowthfromdata-driveninsights

|6

revolution.Overall,wefindahighlevelofoptimismaroundthepotentialbusinessvalueofAIaroundtheregion,evenascompaniesarenavigatingamyriadofchallenges.

2.Dataispervasiveandgrowing

50%

ofITleadersinAPAC

seetheirdatastrategygoalsimpactedwhen

theydon’thavetherightinvestmentsindata

systems,infrastructure,andanalyticstools.

50%

seetheirefforts

impactedwhentheydon’thavethose

investmentsinplace.

3.Datalocalizationmattersmorethanever

77%

ofcompaniesinAPACfollowadistributed

dataapproach.

72%

aretyingadata

locationstrategyto

theirAIstrategicplans.

ForewordIntroductionTrendsNextstepsTheStateofDataandAIinAsiaPacific

Trend1

Trend1

Data-first

strategiesadvanceAIinnovation

Asmoreorganizationsprioritizetheirdata-driveninitiatives—includingoptimizingAIacrosstheenterprise—theyneedstrategiesforsupportingthatdata.ThisincludessustainableapproachestotheirITlocationsaswellasensuringthose

locationsadheretoregionaldataregulations.

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ForewordIntroductionTrendsNextstepsTrend1

AformaldatastrategyforIT

locationplanningtopsthe

prioritylistforITLeaders–withAIandMachineLearning(ML)asthekeytounlockinginsights

BusinessesacrossAPACarerealizingthe

valueofimplementingstrategiesspecifictohowtheirdataismanaged,governed,andused.Todothis,65%ofrespondentsare

activelyexecutingaformaldatastrategythatspecifiestherequirementsforcurrentorplannedITlocations.

TheStateofDataandAIinAsiaPacific

DoesyourcompanyhaveorplantohaveaformaldatastrategyspecifyingtherequirementsforcurrentorplannedITlocations?

8%

Formaldatastrategyinplanningstagesforfutureadoption

65%

27%

Formaldatastrategyinearlyadoptionstage

Formaldatastrategythatsactivelyexecuted

ThosewithoutacleardatastrategywillstruggletorealizethevastbenefitsAIoffersacrossbusinessunitsandindustries.

Figure2:DigitalRealty,GlobalDataInsightsSurvey,August2024

ForewordIntroductionTrendsNextstepsTrend1

TheStateofDataandAIinAsiaPacific

Whenitcomestoachievingdata-driveninsights,whatdoyouconsiderthemostcriticalrequirementsyourcompanymustimplement?

Toachievevaluefromenterprisedata,ITleadersneedtoextractinsightstodrivetheirdecision-making.BusinessleadersinAPACbelievethe

bestwaytoachievedata-driveninsightsisto

investinartificialintelligence(AI)andmachinelearning(ML)technology(43%).Additionally,

theybelievethattheycanachievedata-driveninsightsbydevelopingorupdatingtheirdatastrategy(40%)andeducatingtheC-suiteontheimportanceofdata(39%).

Investinartificialintelligence/machinelearningtechnology43%

Developorupdatethedatastrategy40%

EducatetheC-suiteontheimportanceofdata39%

Boosttheabilitytodealwithdata-relatedregulations38%

Hiremoredatascientists36%

Increasecapabilitiesarounddata36%

Improvedatainfrastructure36%

AdoptaUnifiedDataAnalyticsapproach33%

01020304050

Figure3:DigitalRealty,GlobalDataInsightsSurvey,August2024

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ForewordIntroductionTrendsNextstepsTrend1

TheStateofDataandAIinAsiaPacific

Onascalefrom1to5,wherewouldyourateyourcompanyor

organizationintermsofAImaturity,with1beingnoAIutilizationand5beingtransformative/afirmpartofthebusinessmodel?

Togaindata-driveninsights,organizationsneed

strategiesforgrowingAI.Aquarter(25%)of

respondentsinAPACratethemselvesa5inAI

maturity,wheretheirAIutilizationistransformative

1%

NoAI

andafirmpartoftheirbusinessmodel.Anadditional32%rankedthemselvesasa4—foratotalof57%

12%

2

25%

5

rankingthemselvesmatureinAIadoption.Globally,61%ofoverallrespondentsrankthemselvesmatureinAIadoption,suggestingAPACleadersareinsyncwiththeindustrytrend.

“InAPAC,theracetoharnessAI’spoweris

30%

3

accelerating.Businessesarerealizingthat

32%

AIisnotjustabuzzword,butastrategic

4

imperativefordrivinginnovationandgrowth.”

SereneNah,ManagingDirector,AsiaPacific

Figure4:DigitalRealty,GlobalDataInsightsSurvey,August2024

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Introduction

steps

Trends

Next

Foreword

TheStateofDataandAIinAsiaPacific

Countryspotlight:

AImaturityanalysis

InJapan,34%ofrespondentsratedtheirAImaturitya5,withanother30%at4.Additionally,31%areactivelyexecutinga

formalAIstrategytolaunchinmarketasabusinessorserviceoffering.

InIndia,42%rankedthemselvesa5

inAImaturity.45%havealreadydeployedandmonetizedtheirtrainedAImodel.

InSingaporeonly6%rankeda5—while,40%

rankedtheirAImaturityasa4.50%havealreadydeployedandmonetizedtheirtrainedAImodel.

25%areactivelyexecutingaformalAIstrategytolaunchinmarketasabusinessorserviceoffering.

17%ofrespondentsin

SouthKorearanked

themselvesatAImaturity

b

level5,with49%atlevel4.

Additionally,46%havealreadydeployedandmonetizedtheirtrainedAImodel.

40%ofrespondentsinHongKongratedtheirAI

maturitya5.40%arealsoimplementingaformalAIstrategytoachieveoperationalefficiencyand/orreducecosts.

InAustralia,only13%rankedtheirAImaturity

at5.However,44%havealreadydeployedandmonetizedtheirtrainedAImodel.

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ForewordIntroductionTrendsNextstepsTrend1

AIstrategiesarenowintrinsictobusinessandcompetitive

differentiation

Withoutaclearpathforward,

organizationswillstruggleto

realizethebenefitsAIoffers

acrossbusinessunitsand

industries.CoupledwithrisingAImaturity,twooutofthree

(67%)ofthosesurveyedin

APACareactivelyexecuting

aformalAIstrategytoeither

achieveoperationalefficiencies,launchabusinessorservice

offering,oramixofboth.

Whichofthefollowingbestdescribesthe

strategyyourcompanycurrentlyhasintermsofArtificialIntelligence(AI)?

25%

FormalAIstrategythat’sactivelyexecutedtoachieveoperationalefficiencyand/orreducingcosts

22%

FormalAIstrategythat’sactivelyexecutedtolaunchinmarketasabusinessorserviceoffering

19%

FormalAIstrategythatisamixtureofexecutingbothoperationalefficienciesandanewbusinessoffering

17%

FormalAIstrategyinearlyadoptionstage;pre-marketlaunch

10%

FormalAIstrategyinplanningstagesforfutureadoption

4%

Evaluatingathird-partypartnertohelpdevelopand/orexecuteaformalAIstrategy

2%

InformalAIstrategy,exploringusecases

0%NoformalAIplansorAIstrategy

Figure5:DigitalRealty,GlobalDataInsightsSurvey,August2024

TheStateofDataandAIinAsiaPacific

Industryspotlight:

LeadersinformalAIstrategy

WhileallindustriesacrossAPACareimplementingAIstrategy:

77%ofrespondentsinlogisticsare

executinganAIstrategythatiseitheroperational,aserviceoffering,orboth

74%infinancialservicesarealsousingAIequallyinoperationsandserviceofferings

68%inmanufacturingarealsousingAIequallyinoperationsandserviceofferings;however,22%arestillintheearlyadoptionstage

64%inretailarealsousingAIequallyinoperationsandserviceofferings;however,18%arestillintheearly

adoptionstage

ForewordIntroductionTrendsNextstepsTrend1

TheStateofDataandAIinAsiaPacific

45%

28%

11%

6%

Monetization/

activelydeploymentoftrainedAImodel

Inference

ValidationofAItraining

TraininganAImodel

4%

4%

2%

Cleaningdata

toprepareforAItraining

Testing

OutsourceAI

needswitha

third-partyprovider

InwhichstageofAIstrategywouldyouclassifyyourcompanycurrently?

NearlyhalfofITleadersinAPACactivelydeployatrainedAImodel

LaunchinganewAIinitiativerequiresastep-by-stepprocessthatincludes:

1.CleaningthedatatoprepareforAItraining

2.Training,testing,andvalidatingtheAImodel

3.Aninferencestage

4.DeployingthetrainedAImodel

45%ofcompaniesinAPAChavealready

deployedandmonetizedtheirtrainedAI

modelwhile28%arealreadyattheinferencingstagebeforelaunch.Whileadoptionand

implementationratesarestrong,AIinferencingandtheevolutionofworkflowswilldictatehowITleaderscontinuallyadjusttheirongoing

AIstrategies.

Global

spotlight:

APACinAIdeployment

At51%,theAmericas

arethegloballeader

inAIdeploymentand

monetization.45%of

companiesglobally,aswellasinAPAC,have

deployedandmonetizedtheirAI.Incomparison,42%inEuropearein

thedeploymentandmonetizationstages.

Figure6:DigitalRealty,GlobalDataInsightsSurvey,August2024

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ForewordIntroductionTrendsNextstepsTrend1

TheStateofDataandAIinAsiaPacific

WhichofthesestatementsmostaccuratelyalignswithhowsustainabilitygoalsimpactyourAIstrategy?

AIrequiresauniquedata-

readyenvironment,suitedforsustainabilitygoals

SustainabilityisapriorityinAPAC,whichis

33%

SustainabilitygoalshavesomeimpactonAIstrategy

reflectedinhowmanyaretyingsustainabilitytotheirAIstrategy.59%saythattheirsustainabilitygoalsarethemostimportantfactorimpacting

AIstrategy,and33%saythatsustainability

goalshavesomeimpactonAIstrategy.

Infact,tocreateasuccessfulAIstrategy,

sustainabilityisthetoprequirementinensuringinfrastructurecanhandleAI’spowerand

59%

Sustainability

8%

SustainabilitygoalshavenoimpactonAIstrategy

energydemandstostore,process,andhostvastquantitiesofdata(51%).

goalsarethemost

importantfactor

impactingAIstrategy

ThechallengeforITleadersistoenablehigh-

Figure7:DigitalRealty,GlobalDataInsightsSurvey,August2024

densityworkloadswiththerightITinfrastructure,withtherightcoolingsolutionstosupport

innovationandsustainabilitygoals.

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Industryspotlight:

AIusecases

acrossverticals

Respondentsinretail(52%)areprimarilyusingAIforUnifiedDataAnalyticsandAIprograms.

Respondentsinfinancialservices(43%)arealsousingAIforUnifiedDataAnalyticsandAIprograms.

Respondentsinmanufacturing(48%)areusingAItoautomatehuman-intensivetasks.

ForewordIntroductionTrendsNextsteps

TheStateofDataandAIinAsiaPacific

Trend1

WhenitcomestocreatingasuccessfulAIstrategy,whatdoyouconsiderthemostcriticalrequirementforyourcompany?

51%

Ensuringinfrastructurecanhandle

AIpowerandenergydemandsto

store,processandhostvastquantitiesofdata

46%

EnsuringperformantAIworkloads

arelocatedincloseproximitytodataandusers

45%

EnsuringthecompanyiscompliantwithAIanddataprivacyregulations

43%

EnsurethereisenoughdatastoragetohousedatasetsforAIworkloads

43%

Obtainingreliableinterconnectionsolutiontoallowconnectionto

distributeddatasources

38%

Ensuringdataisclean

34%

ObtainAI-readydatacenterspace

Figure8:DigitalRealty,GlobalDataInsightsSurvey,August2024

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TheStateofDataandAIinAsiaPacific

ForewordIntroductionTrendsNextstepsTrend2

Trend2

Dataispervasiveandgrowing

Thevolumeoforganizationaldataisgrowingincrementally,requiringappropriategovernancestrategiestoeffectivelyandsecurelymanageandstorethatdata.ForITleaders

inAPAC,thatmeanshavingsustainablewaystohandleAI’senergyneeds,andabidingbyregulatoryruleswithITinfrastructureintherightlocations.

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TheStateofDataandAIinAsiaPacific

ForewordIntroductionTrendsNextstepsTrend2

ProactivecapacityplanningiscriticaltomitigatingDataGravitybarriers

ThebiggestchallengeITleadersinAPACfacewhen

drawinginsightsfromtheirdataisalackofsufficient

investmentindatasystems,infrastructure,andanalyticstools,experiencedbyhalf(50%)ofrespondents.This

isthesameas52%globallyandalsotop-rankedintheAmericas.Rapiddatacreationandescalatingneeds

forstorageandprocessingleadstosignificantstrainonlegacyinfrastructure.

DataandAI-readyinfrastructuremusthavethesecharacteristics:

?Bedistributed,data-centric,andhybrid

?Caninverttrafficflows

?Integrateprivateandpublicdatasources

?Capitalizeonlow-latencyinterconnectiontobringcloudsanduserstodata,whereveritresidesattheedge

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TheStateofDataandAIinAsiaPacific

ForewordIntroductionTrendsNextsteps

Trend2

Countryspotlight:

VariedobstaclesacrossAPAC

AcrosstheAPACregion,themostsignificantchallengeidentifiedbyrespondentsisthelackofITinfrastructure,includinginsufficientstorageandcomputingpower,whichisacritical

barriertoadvancingAIstrategies.Thischallengeisprevalentinallsurveyedcountries.

b

However,eachcountryalsofacesuniquesecondarychallengesthatfurthercomplicateAIimplementationefforts.

India

FragmentedDataAcrossSilos

SouthKorea

DataPrivacyRegulations

InSouthKorea,followingITinfrastructure

challenges,46%ofrespondentshighlightdataprivacyregulationsasasignificantchallenge,complicatingthedeploymentandscalingofAItechnologies.

significantbarrier,affectingtheeffectivenessofAIinitiatives.

HongKong

DataQualityIssues

AswellasITinfrastructurechallenges(53%),in

InadditiontoITinfrastructurechallenges,53%ofIndianrespondentsstrugglewithaggregatingdatafromdifferentsilosanddepartments,

makingitdifficulttodrawactionableinsightsandfullyleverageAItechnologies.

Singapore

Australia

AggregatedDatafromDifferentSilos

InAustralia,47%ofrespondentsreport

challengesinaggregatingdatafromdifferentsilosanddepartments.Thisissuecreates

obstaclesingeneratingcohesiveinsightsandfullyimplementingAIstrategies.

HongKong,46%ofrespondentsfacechallengesduetocustomerreluctancetosharedataandlackofcleandata,furthercomplicatingefforts

toimplementeffectiveAIsolutions.

Japan

LackofInternalTalent

InJapan,52%ofrespondentsidentifythelackofinternaltalenttobuildtechnicalcapacityandanalyzedataasasignificantbarrier,followedby47%citingITinfrastructurechallenges.

InsufficientInvestmentandCustomerReluctance

InSingapore,51%ofrespondentsidentifythe

lackofsufficientinvestmentindatasystems,

infrastructure,andanalyticstoolsasakey

challenge.Additionally,49%ofrespondentscitecustomerreluctancetosharedataasa

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ForewordIntroductionTrendsNextstepsTrend2

Whilemanyareimplementing

AIstrategies,dataproximity

considerationsarestillapriority.

ThisiswhythebiggestchallengetodevelopingtheirAIstrategy

isalackofITinfrastructurein

therightlocationsneededto

overcometheprocessingand

proximitychallengesassociatedwiththeuseofAI,accordingto57%ofrespondents.

Whatarethetopthreeobstaclesyourorganizationfaceswhendrawing

insightsfromdata?

Lackofsufficientinvestmentindata

system,infrastructure,andanalyticstools

50%

44%

Customerreluctancetosharedata

43%

Lackofaggregateddatafromdifferentsilosanddepartments

42%

Lackofcleandata

41%

Lackofclearmandatefromcorporateleadership

40%

Dataprivacyregulations

40%

Lackofinternaltalenttobuildtechnicalcapacityandanalyzedata

TheStateofDataandAIinAsiaPacific

WhatchallengeshaveyoufoundindevelopinganAIstrategy?

57%

LackofITinfrastructureintherightlocations

neededtoovercometheprocessingandproximitychallengesassociatedwiththeuseofAI

52%

TherearenotargetedbusinessstrategiesthatcanleverageAItechnology

51%

LackofunderstandingofAIandhowtoleverageittodrivebusinessoutcomes

49%

Company’slackofaformaldatastrategy/cleandatahasimpededadoptionofAI

47%

LackofleadershipknowledgeorsupportindevelopinganAIstrategy

44%

Lackofbudgetin2023butwillallocatebudgetin2024

Dataproximityremainsapriority—AIsuccessdependsonovercominginfrastructureandprocessingchallenges.

Figure9,10:DigitalRealty,GlobalDataInsightsSurvey,August2024

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ForewordIntroductionTrendsNextstepsTrend2

AlackofdatastorageisthebiggestchallengetoAIstrategyadoption

WhilemanycompaniesinAPACareactivelyimplementingAIstrategies,thebiggestchallengethey’refacingisalackofdatastoragerequired

tohousethemassivedatasets

AIrequires,experiencedby64%

ofrespondents.Havingtheright,

AI-readyinfrastructureintheright

locationswillbekeytosolvingthe

challengesfeltbyITleadersandtheirgrowingstoragedemands.

TheStateofDataandAIinAsiaPacific

9%

Lackofspecialized

infrastructurethatAI

requires(increaseddemandinpowerdensity,energy

usage,temperature

regulation,andsafety)

2%

Lackofresourcesorpersonnelstrategy

WhatarethemaininfrastructureorbusinesschallengesyourorganizationisfacingwhenadoptingaformalAIstrategy?

64%

Lackofdatastorage

requiredtohousemassive

datasetsAIrequiresstrategy

55%

LackofavailablecomputationalpowerrequiredtorunAI

processing

49%

Lackofreliableinterconnectionsolutiontoallowconnectionstodistributeddatasources

34%

Lackofavailabledataand

concernsarounddataquality

30%

Concernsaroundregulationsandpotentialimpacton

personaldata

21%

Lackofsuitabledatacenterspace

Figure11:DigitalRealty,GlobalDataInsightsSurvey,August2024

TheStateofDataandAIinAsiaPacific

ForewordIntroductionTrendsNextstepsTrend3

Trend3

Datalocalizationmattersmore

thanever

Byadoptingadistributeddataapproach,companies

canovercometheobstaclesposedbyDataGravityandsuccessfullyreachtheirAIobjectives.

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TheStateofDataandAIinAsiaPacific

ForewordIntroductionTrendsNextstepsTrend3

AthowmanyadditionalpointsofpresencewillyourorganizationmostlikelydeployITinfrastructureinthenexttwoyears?

AsAPACenterprisesexpandglobally,

wheretheyplacetheirdatamatters—forcomplianceandtocapitalizeonAI’svalue

20%

None

TocombatthechallengesofDataGravity,takingadistributedapproachhelpstoproperlyallocatehigh-densitystorage

andprocessingcapacitytoaccommodateAIworkloads.

Threeoutoffour(77%)companiesinAPACarecurrently

2%

11-20

followingadistributeddataapproach—keepingpacewithcompaniesglobally.

ITleadersinAPACvaluehavingtherightinfrastructureto

56%

1-5

supporttheirdatastrategiesandinitiatives.Currently,57%

employITinfrastructuresthatincludeserverand/ordata

22%

6-10

centersacrossonetotenlocations—whichiscomparableto61%ofglobalrespondents.

Inaddition,56%plantoexpandtoonetofiveadditionallocationsinthenexttwoyears—whichiscomparableto57%ofglobalrespondents.Additionally,24%areplanningexpansiontosixormorelocations.

Figure12:DigitalRealty,GlobalDataInsightsSurvey,August2024

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ForewordIntroductionTrendsNextstepsTrend3

TheStateofDataandAIinAsiaPacific

Whatarethetop3reasonsyourcompanyfollowsadistributedapproach?

43%

Adistributedapproachisneededtobringcloudsanduserstodataattheedge

Allowsdatatoliveclosesttothosewhomostneedit

Instillsunderstanding fordata-driveninsightsacros