全球商業(yè)人工智能應(yīng)用服務(wù)分析報(bào)告-培訓(xùn)課件外文版2024.4

INDUSTRIES

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MARKETSArtificialintelligence(AI)inbusinessCHAPTER

01OverviewMarketsizeandrevenuecomparisonforartificialintelligenceworldwidefrom2018to2030(inbillionU.S.dollars)ArtificialIntelligence(AI)marketsize/revenuecomparisons2018-2030IDC(February2021)Tractica(March2020)NextMoveStrategicConsulting(January2023)(October2023)2,0001,8001,6001,4001,2001,0008001,847.41,4151,068.7795.3511.3738.72030659.52029582.9445.9584.8554.3600420.4370.2327.5227.6305.9400281.4241.8207.970.9414324.38126108.420095.494.4151.2734.87202110.114.69201922.5902018202020222023202420252026202720283Description:Themarketforartificialintelligence(AI)isexpectedtoshowsignificantgrowthinthecomingdecade,accordingtoavarietyofsources.Accordingtodata,theAImarketsizeisprojectedtorisefrom241.8billionU.S.dollarsin2023toalmost740billionU.S.dollarsin2030,accountingforacompoundannualgrowthrateof17.3%.Meanwhile,accordingto?

NextMoveStrategyConsulting,itsvalueofapproximately208billionU.S.dollarsin2023isexpectedtogrowninefoldby2030,[...]ReadmoreNote(s):Worldwide;2018-2023Source(s):IDC;NextMoveStrategyConsulting;TracticaSizeofexplainableartificialintelligence(AI)marketworldwidefrom2022to2030(inbillionU.S.dollars)ExplainableAImarketrevenuesworldwide2022-2030302520151024.5820.3316.8113.8711.439.397.76.2852024*2025*2026*2027*2028*2029*2030*4Description:AccordingtoNMSC,theglobalexplainableartificialintelligence(XAI)marketwasvaluedatfive-point-onebillionU.S.dollarsin2022.By2030,themarketisforecasttohaveavalueofover24billionU.S.dollars.ReadmoreNote(s):Worldwide;2022;*Forecast.CAGR2020-2030:18.4%ReadmoreSource(s):NextMoveStrategyConsultingEstimateamountofartificialintelligence(AI)companiesacquiredbymajortechcompaniesin2023AggregateAIstartupacquisitionbymajortechcompaniesin2023353230252120181715105100AppleGoogleMetaMicrosoftAmazon5Description:Appleleadsamongmajortechcompanies,orbigtech,intheacquisitionofsmallerAIstartupsasof2023.IthadengagedintheacquisitionofmorethanthreetimesthenumberofAIcompaniesthanAmazon.TheacquisitionofAIstartupcompaniescomesaslargetechcompaniescompetetostayaheadintheraceforAItechnologicaldominance.ReadmoreNote(s):Worldwide;2023Source(s):CBInsightsExtentofwhichcommericialleadersfeeltheirorganizationsshouldbeusingmachinelearning(ML)orgenerativeartificialintelligence(AI)in2023DesiredusageofMLandgenerativeAIbycommericialleaders2023MachinelearningGenAI70%60%50%40%30%20%10%0%65%50%40%25%10%10%0%0%0%0%AlmostneverRarelySometimesOftenAlmostalways6Description:Commercialleadersin2023feeltheirorganizationsshouldbeusingmachinelearningandgenerativeAIoftenoralmostalwayswithintheirorganization.Uniformlynointerestwasinusingthesetechnologiesneverorrarely.

ReadmoreNote(s):Worldwide;2023;SeniorexecutivesinsignificantglobalB2BandB2Csalesandmarketingorganizations*Source(s):McKinsey&CompanyExtentofwhichcommercialleadersfeeltheirorganizationsareusingmachinelearning(ML)orgenerativeartificialintelligence(AI)in2023UsageofMLandgenerativeAIbycommercialleaders2023MachinelearningGenAI60%50%40%30%20%10%0%55%40%25%20%20%20%15%5%0%Almostnever0%AlmostalwaysRarelySometimesOften7Description:MostcommercialleaderexecutivesfeelthattheirorganizationisusinggenerativeAIrarelyandmachinelearningsometimesin2023.20percentofcommercialleadersalsofeelthattheirorganizationusebothtechnologiesoften.

ReadmoreNote(s):Worldwide;2023;SeniorexecutivesinsignificantglobalB2BandB2Csalesandmarketingorganizations*Source(s):McKinsey&CompanyEstimatedshareofworldwidespendingonartificialintelligence(AI)-centricsystemsin2023,byindustryDistributionofglobalspendingonAI2023,byindustryBanking13.4%Retail12.8%Other46.7%ProfessionalServices10.4%Discretemanufacturing9.5%Processmanufacturing7.1%8Description:Expenditureonartificialintelligence(AI)showedsignificantdiversityamongindustriesin2023,withthebankingandretailsectorsleadingintermsofthemostsubstantialAIinvestmentsduringthatyear.Thebankingsector'sspendingaccountedfor13.4percentofallinvestments,followedbytheretailsectorwith12.8percent.WorldwidespendingonAIwasestimatedat154billionU.S.dollarsin2023.ReadmoreNote(s):Worldwide;2023Source(s):IDCEstimatedworldwidespendingonartificialintelligence(AI)-centricsystemsin2023,byindustry(inbillionU.S.dollars)GlobalspendingonAI2023,byindustrySpendinginbillionU.S.dollars01020304050607080BankingRetail20.6419.71ProfessionalServicesDiscretemanufacturingProcessmanufacturingOther16.0214.6310.9371.929Description:Spendingonartificialintelligence(AI)variedgreatlyacrossindustriesin2023,withthebankingandretailindustriesdeliveringthelargestAIinvestmentsin2023.WorldwidespendingonAI-centricsystemswasestimatedat154billionU.S.dollarsin2023acrossallindustries.Thebankingsector'sinvestmentsamountedto20.6billionU.S.dollars,thehighestacrosstheobservedindustries.Itwasfollowedbyretail,withaninvestmentvalueof19.7billionU.S.dollars.Thefinancialsector's[...]

ReadmoreNote(s):Worldwide;2023Source(s):IDC;CHAPTER

02Segment:BusinessbenefitsExpectedbenefitsversusrealizedbenefitsofartificialintelligence(AI)initiativesinenterprisesin2023ExpectedandrealizedbenefitsofAIinitiativesinbusinessworldwidein2023ShareofrespondentsRealizedbenefits

Expectedbenefits10%

20%0%30%40%50%60%47%ImprovedsecurityNewproductcreationIncreasedproductivity54%44%45%50%35%29%ImprovedspeedandefficiencyofexistingprocessesIncreasingrevenuestreams42%32%39%38%FastertimetodatainsightsImprovedcustomersatisfactionFastertimetovalue36%36%34%23%31%39%IncreasedlevelofinnovationIncreasedsalesEnhancedperformance/functionalityofproductsImproveddecisionmaking29%18%27%50%25%31%21%11Description:EnhancedperformanceandenhancedfunctionalityofproductshadbyfarthelargestdiscrepancybetweenexpectedandrealizedbenefitsofAIin2023.Whilejust25percentofrespondentsexpectedachangeinthisaspect,nearly50percentreportedbenefitsasaresultoftheAIinitiativesimplemented.Thiswasalsotheareawiththegreatestamountofrealizedbenefits,withonlyimprovedsecuritycomingcloseat47percent.ReadmoreNote(s):Worldwide;OctobertoNovember,2023;1420respondents;ITprofessionalsacrossmutipleindustriesSource(s):ColemanParkesResearch;Dell;Rackspace;VMwareLeadingsustainabilityartificialintelligence(AI)revenuedriversincompaniesworldwidein2023AIsustainabilitybasedrevenuedriversinenterprisesglobally2023HighimpactMediumimpactLowimpactNoimpact50%44%44%43%45%40%35%30%25%20%15%10%5%42%40%38%17%13%11%3%2%2%0%Adoptingrenewablesandalternativeenergy/power

DesignmoresustainableproductsandservicessourcesCreatinghigher-performingproductswithfewermaterials12Description:SustainableAIrevenuedriverswerefairlywellalignedintheirimpactlevels,withallofthemhavinganover40percentofhighimpactinrevenuein2023.Notableexceptionwasthatadoptingrenewablesandalternativeenergy/powersourceshadahighratiooflowerimpact.ReadmoreNote(s):Worldwide;2023;610respondentsSource(s):S&PGlobalMarketIntelligence;WEKAPotentialimpactofgenerativeartificialintelligence(AI)onproductivityworldwidein2023,bybusinessfunctions(inbillionU.S.dollars)PotentialgenerativeAIproductivityimpact2023,bybusinessfunctionAddedvalueinbillionU.S.dollarsHighLow60002004008001,0001,2001,400MarketingandsalesSoftwareengineeringCustomeroperationsSupplychainandoperationsProductR&DRiskandlegalStrategyandfinanceTalenandorganizationCorporateIT*13Description:Generativeartificialintelligence(AI)couldhaveasignificantimpactontheproductivityofvariousbusinessfunctions,accordingto63usecasesanalyzedin2023.Marketingandsalescouldbenefitthemost,withanaddedrangeofvaluebetween760and1,200billionU.S.dollars.Softwareengineeringcouldalsoseesimilarlyhighaddedvalues.ReadmoreNote(s):Worldwide;2023Source(s):Varioussources(ComparativeIndustryService,IHSMarkit,OxfordEconomics,McKinsey&Company)Potentialimpactofgenerativeartificialintelligence(AI)onindustryrevenuesworldwidein2023,byindustry(inbillionU.S.dollars)PotentialimpactofgenerativeAIonindustryrevenues2023,byindustryAddedrevenueinbillionU.S.dollarsHigh150Low200050100250300350400450500HightechRetail**BankingTravel,transport,andlogisticsAdvancedmanufacturing*ConsumerpackagedgoodsEnergyAdministrativeandprofessionalservicesHealthcareBasicmaterialsEducationRealestate14Description:Generativeartificialintelligence(AI)couldgeneratesignificantvaluewhendeployedacrossindustries,accordingto63usecasesanalyzedin2023.Basedontheseusecases,thehightechsectorcouldhavethehighestaddedrevenuethroughtheuseofgenerativeAI.Onanannualbasis,generativeAIcouldaddbetween240and460billionU.S.dollarstothehightechsector.Thisisequivalentto4.8-9.3percentoftheannualrevenueofthesector.Theretailsectorcouldalsoseesignificant[...]

ReadmoreNote(s):Worldwide;2023;*Includesaerospace,defense,andautomanufacturing.**Includingautoretail.ReadmoreSource(s):Varioussources(ComparativeIndustryService,IHSMarkit,OxfordEconomics,McKinsey&Company)CHAPTER

03Segment:BusinesschallengesLeadingchallengesinimplementingartificialintelligence(AI)initiativesinbusinessesin2023MainchallengesinimplementingAIinitiativesinbusinesses2023Shareofrespondents0%

5%

10%15%20%25%30%35%40%45%42%ChallengesinmeasuringandprovingthebusinessvalueoftheAIsolutionLackoftechnologicalinfrastructuretosupportAIStorageofskilledAItalent38%32%Lackofcleandata24%LackoftrusttowardsAI-baseddecisionsAlgorithm/modelfailure22%19%17%InabilitytofindtherightdataLegalconcerns,risks,orcomplianceissuesLackofskillstoexploittheresults14%11%Lackofclearstrategy/clarityofsuccessmetricsLackofnewusecasesacrossthebusinessLackofongoinginvestment9%7%5%4%Lackofseniormanagementcommitment16Description:ChallengesinprovingtheusefulnessofAIinitiativestoabusinessisthegreatestchallengewhenattemptingtoimplementAIprogramswithinacompanyin2023.Thisisunsurprisingsincethetechnologyisrapidlygrowing,relativelyyoung,andmetricsoftendonotexistorrequiremoretimefordevelopment.Lackofinvestmentandseniormanagementcommitmentweretheleastfacedchallenges.This,too,isunsurprisingasinvestmenthasbeenheavilyfavoringAIsinceearly2023and[...]

ReadmoreNote(s):Worldwide;OctobertoNovember,2023;1,420respondentsSource(s):ColemanParkesResearch;Dell;Rackspace;VMwareLeadingsustainabilitybasedartificialintelligence(AI)costdriversincompaniesworldwidein2023AIsustainabilitybasedcostsaversinenterprisesglobally2023HighimpactMediumimpactLowimpactNoimpact60%48%50%47%42%39%41%39%40%30%20%10%0%17%12%12%1%1%Improvingenergymonitoringandmanagement1%LowercarbonfootprintBetteroptimizeworkloadsacrossITexecutionvenues17Description:SustainableAIcostsaverswereallreportedashavingatleast40percentimpactleveloncostsinenterprisesin2023.Notablethatlowercarbonfootprintwasslightlylessimpacted,withonly42percentofhighimpact.

ReadmoreNote(s):Worldwide;2023;610respondentsSource(s):S&PGlobalMarketIntelligence;WEKACEOperspectivesonthecurrentstateofartificialintelligence(AI)attheirorganizationworldwidein2023CEOperspectivesonthecurrentstateofAIattheirorganizationworldwide2023CompletedInprogressNotstartedNotrelevant120%100%80%60%40%20%0%HirednewtalentwithAIskillsEstablishedAI

Developedavision

DeterminedwhichEstablishedtrackingofAIregulationsEstablishedanAI

Assessedhowtotaskforcewitha

effectivelygovernInvestedinpartnershipswith

forhowAImaydatawillcreatecompetitivecapabilitiestomultiplechangeourbusineslong-term

advantagethroughAIdirectlinetotheC-

therisksuniqueto

augmentthird-companiessuiteAIpartyAIwithourdata18Description:In2023,themostcommonstateofAIaccordingtoCEOswithintheirorganizationwashiringnewtalentwithAIskills.41percentofrespondentsstatedthisastheiranswerwhenitcametothecompletionofthisaction.ThemostcommonstateofAIthathadnotyetbeenstartedamongstCEOswasanestablishedAItaskforcewithadirectlinetotheC-suite.ReadmoreNote(s):Worldwide;SeptembertoOctober2023;1,200CEOsSource(s):EYCEOperspectivesongenerativeartificialintelligence(AI)intheirworkplaceworldwidein2023CEOperspectivesonGenAIintheirworkplaceworldwide202390%82%80%70%60%50%40%30%20%10%70%57%0%AImayprovidenewattackstrategiesforadversariesGenerativeAIistheirtoppriorityEthicalchallengesaretopconcernwithgenerativeAIimplementation19Description:In2023,themajorityofCEOsworldwidewereconcernedthatAImayprovidenewattackstrategiesforadversaries.Furthermore,almost60percentoftheCEOswhoweresurveyedstatedthatethicalchallengesweretheirnumberoneconcernwhenitcomestoimplementinggenerativeAI.ReadmoreNote(s):Worldwide;August15toSeptember15,2023;1,325CEOsSource(s):KPMGCHAPTER

04Segment:EmployeesWhoisutilisingAIwithinyourorganisationworldwidein2023AIusageamongemployeesinorganizationsgloballyin202370%61%60%50%40%30%26%20%8%10%0%4%Ahighnumberofemployeesatevery

AIisbeingutilisedbyahighnumberofAiisonlybeingusedbyasmallnumberofemployeeswithinmyorganisationAIisnotbeingutilisedlevelofourorganisationareusingAIemployees,butonlywithincertaindepartments21Description:MostorganizationshavenotadaptedAItoagreatdegree,withonlyaselectnumberofemployeeswithinanorganizationusingitin2023.ThisisinalllikelihoodbecausethetechnologyisstillmaturingandaselectamountofemployeesmightberunningpilotprogramsortestprogramsforAIusagewithincompanies.WhatisnotableismorethanaquarterofcompaniesdidnotuseanyAIwithintheirenterprisein2023.ReadmoreNote(s):Worldwide;October2023Source(s):CarruthersandJacksonArtificialintelligence(AI)useimpactonemployeesneedingtobereskilledinorganizationsgloballyin2023ImpactofAIadoptiononneedforemployeesbeingreskilledworldwidein2023Shareofrespondents2005101525303540Don'tknow>20%83811-20%6-10%181720≤5%22/statistics/1407482/employee-reskilling-due-to-aiMostrespondentswithinorganizationsin2023expectedincreasedAIadoptiontoforceovertwentypercentofemployeestoneedreskillinginsomefashion.Intotal73percentofrespondentsexpectsomelevelofreskillingtooccurforemployees.

ReadmoreNote(s):Worldwide;11-21.April2023;1684respondentsSource(s):McKinsey&CompanyArtificialintelligence(AI)useimpactonemployeenumbersinorganizationsgloballyin2023ImpactofAIadoptiononemployeenumbersworldwidein2023Shareofrespondents10%0%5%12%15%20%25%30%35%Don'tknowIncreaseby>20%3%4%Increaseby11-20%Increase3-10%8%30%Littleornochange(decreaseorincreaseby≤2%)Decreaseby3-10%25%Decreaseby11-20%10%8%Decreasebyby>20%23Description:Mostrespondentswithinorganizationsin2023expectedAItohavelittlechangeonemployeenumbers.Overallthenumberofemployeeswereexpectedtodecrease,withsome43percentofrespondentsclaimingso.

ReadmoreNote(s):Worldwide;11stto21stApril,2023;1,684respondentsSource(s):McKinsey&CompanyOverallautomationpotentialwithandwithoutgenerativeartificialintelligenceinphysicalactivitiesin2023AutomationpotentialofgenerativeAIinphysicalactivitiesin2023AutomationpotentialPerformingpredictablephysicalwork

Performingunpredictablephysicalwork20%

30%

40%

50%0%10%60%70%80%45.5%WithgenerativeAI46%72.5%73%WithoutgenerativeAI24Description:GenerativeAIhadnoappreciableimpactontheautomationpotentialofphysicalactivitiesin2023.ThisisunderstandableasgenerativeAIiscompletelyadigitalprocess,andwouldbehighlyunlikelytomakemuchdifferenceforprojectsrequiringphysicalstrength.ReadmoreNote(s):Worldwide;2023Source(s):McKinsey&CompanyGlobalautomationpotentialwithandwithoutgenerativeartificialintelligence(AI)indatamanagementin2023AutomationpotentialofgenerativeAIindatamanagementworldwide2023AutomationpotentialCollectingdata30%

40%Processingdata50%0%10%20%60%70%80%90%100%79%WithgenerativeAI90.5%68%WithoutgenerativeAI73%25Description:DataprocessinganddatacollectioncanbothbemoderatelymoreautomatedwiththedevelopmentofgenerativeAIin2023.Whiletheautomationpossibilitieswerealreadyconsiderableinbothcases,intheinstanceofdataprocessingitrisestoover90percentautomationwithgenerativeAI.ReadmoreNote(s):Worldwide;2023Source(s):McKinsey&CompanyGlobalautomationpotentialwithandwithoutgenerativeartificialintelligence(AI)indecisionmakingandcollaborationin2023AutomationpotentialofgenerativeAIindecisionmakingactivitiesin2023AutomationpotentialWithoutgenerativeAI20%WithgenerativeAI30%

40%0%10%50%60%70%24.5%ApplyingexpertiseManaging58.5%15.5%49%24%Interfacingwithstakeholders45%26Description:NearlyallformsofdecisionmakingcanbeenhancedconsiderablywiththeinvolvementofgenerativeAIintheprocess.Thegreatestimprovementinautomationwouldbeinmanagemend,wheretheautomationpotentialmorethantripled.

ReadmoreNote(s):Worldwide;2023Source(s):McKinsey&CompanyCHAPTER

05Specialfocus:DeploymentandinfrastructureKeyartificialintelligence(AI)applicationandinfrastructureupgradedriversinbusinessesworldwideasof2023LeaddriversofAIapplicationsandinfrastructureupgradesinbusinessasof202360%53%52%51%50%50%40%30%20%10%0%45%42%31%DatasecurityIncreasedtechnologyImprovingReduceworkloadonstaffthroughGPU(graphicsprocessingunit)supportDatainsightsCostresilienceanduptime

managementatscaleautomation28Description:DatasecurityandtechnologicalresiliencearethemostimportantaspectsdrivingAIapplicationandinfrastructureupgradespera2023survey.Thisislikelyinresponsetothevulnerabilityofnewtechnologiesandthepossibilitiesofmisuseinthewronghands.Costisaminorfactor,withbarelyathirdofrespondentssayingso.ReadmoreNote(s):Worldwide;JulytoSeptember,2023;650respondents;IT,DevOps,andPlatformEngineeringdecisionmakersSource(s):Nutanix;VansonBourneArtificialintelligence(AI)modelupdatefrequencyinbusinessesworldwideasof2023UpdatefrequencyofAImodelsinbusinessesworldwideasof202345%40%40%35%30%25%20%15%10%5%28%20%10%2%0%MonthlyormorefrequentlyQuarterlyBi-annually(twiceayear)Annuallyorlessfrequently

Wedon'thaveaplanforhowoftenmodelswillbeupdated29Description:MostcompaniesexpecttoupdatetheirAImodelsquarterlyperasurveyconductedinthemiddleof2023.Thisislikelytokeepagoodandregularschedulewithoutoverloadingthoseworkingonupdatingthemodels.Onlyaroundtwopercentofrespondentshadnoplanstoupdatetheirmodels.InthefastmovingenvironmentofAI,itwouldlikelyleaveamodelcriticallybehindiftherewasnodataupdates.ReadmoreNote(s):Worldwide;JulytoSeptember,2023;650respondents;IT,DevOps,andPlatformEngineeringdecisionmakersSource(s):Nutanix;VansonBourneArtificialintelligence(AI)apps/workloadsdeployedorplannedinthenext12monthsinbusinessesworldwideasof2023AIapps/workloadsdeployedorplannedinthenext12monthsinbusinessasof202350%45%40%35%30%25%20%15%10%5%47%46%40%38%38%32%31%30%29%27%26%26%26%0%30De