生成人工智能在商业中的应用分析报告-培训课件外文版2024.5

DIGITAL

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TRENDSGenerativeartificialintelligence(AI)inbusinessCHAPTER

01AImarketArtificialintelligence(AI)marketsizeworldwidein2021withaforecastuntil2030(inmillionU.S.dollars)Globalartificialintelligencemarketsize2021-20302,000,0001,800,0001,600,0001,400,0001,200,0001,000,000800,000600,000400,000200,00002021202220232024*2025*2026*2027*2028*2029*2030*3Description:AccordingtoNextMoveStrategyConsultingthemarketforartificialintelligence(AI)isexpectedtoshowstronggrowthinthecomingdecade.Itsvalueofnearly100billionU.S.dollarsisexpectedtogrowtwentyfoldby2030,uptonearlytwotrillionU.S.dollars.TheAImarketcoversavastnumberofindustries.Everythingfromsupplychains,marketing,productmaking,research,analysis,andmorearefieldsthatwillinsomeaspectadoptartificialintelligencewithintheirbusinessstructures.[...]

ReadmoreNote(s):Worldwide;*ForecastReadmoreSource(s):NextMoveStrategyConsultingSizeofexplainableartificialintelligence(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):NextMoveStrategyConsultingFundingofartificialintelligence(AI)startupcompaniesworldwidefrom2020to2023,byquarter(inbillionU.S.dollars)AIstartupcompanyfundingworldwide2020-2023,byquarter2018.918.217.91816141210817.115.712.810.99.58.27.87.16.45.46420Q1'20Q2'20Q3'20Q4'20Q1'21Q2'21Q3'21Q4'21Q1'22Q2'22Q3'22Q4'22Q1'235Description:Fundinginartificialintelligence(AI)startupsmaintainedastablegrowthintheyearsbeforethecoronavirus(COVID-19)pandemic,increasingfrom18billionU.S.dollarsin2017to26billionU.S.dollarsin2020.InvestmentsintoAIdrivenstartupsincreasedsubstantiallyattheoutsetoftheCOVID-19pandemic,particularlyinthelatterhalfof2021asitbecameclearthatworkfromhomeandcybersolutionswereapermanentpartoftheworkplace.Consequently,investmentsgrewfroma[...]

ReadmoreNote(s):Worldwide;2020to2023Source(s):CBInsightsArtificialintelligence(AI)startupfundingin3rdquarter2022,byregion(inmillionU.S.dollars)FundingraisedforAIstartupsinQ32022,byregion(inU.S.dollars)5,0004,4004,5004,0003,5003,0002,5002,0001,5001,0005002,3001,400484235130UnitedStatesAsiaEuropeAustraliaCanadaLatinAmericanandCaribbeanAfrica6Description:Inthethirdquarterof2022,theUnitedStatesaccountedforoverhalftheglobalfundingforstartupsfocusingonartificialintelligence(AI).Astheeconomicsituationhasbecomemoredifficultthroughouttheworldmostinvestorsturntothemostreliablemarkets.InthisthestrengthoftheU.S.dollarisagreatboontotheUnitedStates,givingitanedgeoverAsiaandEurope,thoughthetwomarketsstillcommandagreatamountoffundingstrength.ReadmoreNote(s):Africa,Australia,Canada,Asia,Europe,UnitedStates,LAC;Q32022Source(s):CBInsightsCHAPTER

02BusinessArtificialintelligence(AI)adoptionworldwide2022,byindustryandfunctionAIadoptioninorganizationsworldwide2022,byindustryandfunctionHuman

resourcesManufacturingMarketing

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salesPAllindustries11%11%14%1%8%10%4%5%9%3%7%2%4%Business,legal,andprofessionalservicesConsumergoods/retailFinancialservices8%Healthcare/pharma15%6%7%Hightech/telecom6%8Description:Artificialintelligence(AI)isheavilyusedforserviceoperationsandstrategyandcorporatefinance,withnearlyallindustriesreportingaround20percentusageofAIinthesefunctions.ThegreatestuseofAIinproductmakingwasinthefinancialservicesindustry,withover30percentofrespondentsusingAIin2023.TheuseofAIinmanufacturingandmarketingislow,asthesecanrequireindividualhumaninstinctsandsolendthemselveslesseasilytoAIapplications.ReadmoreNote(s):Worldwide;2022Source(s):McKinsey&Company;StanfordUniversityExtentofwhichcommericalleadersfeeltheirorganizationsareusingmachinelearning(ML)orgenerativeartificialintelligence(AI)in2023UsageofMLandgenerativeAIbycommericalleaders2023MachinelearningGenAI60%50%40%30%20%10%0%55%40%25%20%20%20%15%5%0%Almostnever0%AlmostalwaysRarelySometimesOften9Description:MostcommercialleaderexecutivesfeelthattheirorganizationisusinggenerativeAIrarelyandmachinelearningsometimesin2023.20percentofcommercialleadersalsofeelthattheirorganizationusebothtechnologiesoften.

ReadmoreNote(s):Worldwide;2023;SeniorexecutivesinsignificantglobalB2BandB2Csalesandmarketingorganizations*Source(s):McKinsey&CompanyExtentofwhichcommericalleadersfeeltheirorganizationsshouldbeusingmachinelearning(ML)orgenerativeartificialintelligence(AI)in2023DesiredusageofMLandgenerativeAIbycommericalleaders2023MachinelearningGenAI70%60%50%40%30%20%10%0%65%50%40%25%10%10%0%0%0%0%AlmostneverRarelySometimesOftenAlmostalways10Description:Commercialleadersin2023feeltheirorganizationsshouldbeusingmachinelearningandgenerativeAIoftenoralmostalwayswithintheirorganization.Uniformlynointerestwasinusingthesetechnologiesneverorrarely.

ReadmoreNote(s):Worldwide;2023;SeniorexecutivesinsignificantglobalB2BandB2Csalesandmarketingorganizations*Source(s):McKinsey&CompanyAmountofcompaniesusingChatGPTintheirbusinessfunctionin2023,byindustryNumberofcompaniesusingChatGPTwithintheirbusiness2023,byindustryNumberofcompanies150050100200250300TechnicalEducation251209BusinessservicesManufacturingFinance988944Retail35Healthcare24GovernmentMedia&internetConstructionOrganizationsTelecommunicationsTransportation18171514131011Description:ChatGPT,anartificialintelligence(AI)poweredchatbot,ismostusedbycompaniesinthetechnicalandeducationindustries,withover200companiesusingitin2023.ItisperhapsunsurprisingthatthetechnicalfieldhasembracedtheuseofChatGPT,butitisinterestingthatsomanyeducationalinstituteshavebeguntouseit.WhileotherindustriesdoutilizetheOpenAI-madechatbot,therearelessthana100institutionsandcompaniesthatuseChatGPTinotherindustries.Thisis[...]ReadmoreNote(s):Worldwide;2023;CompaniesandinstitutionsSource(s):EnterpriseAppsToday;OpenAICHAPTER

03AutomationOverallautomationpotentialwithandwithoutgenerativeartificialintelligenceinphysicalactivitiesin2023AutomationpotentialofgenerativeAIinphysicalactivitiesin2023AutomationpotentialPerformingpredictablephysicalwork

Performingunpredictablephysicalwork20%

30%

40%

50%0%10%60%70%80%45.5%WithgenerativeAI46%72.5%73%WithoutgenerativeAI13Description:GenerativeAIhadnoappreciableimpactontheautomationpotentialofphysicalactivitiesin2023.ThisisunderstandableasgenerativeAIiscompletelyadigitalprocess,andwouldbehighlyunlikelytomakemuchdifferenceforprojectsrequiringphysicalstrength.ReadmoreNote(s):Worldwide;2023Source(s):McKinsey&CompanyGlobalautomationpotentialwithandwithoutgenerativeartificialintelligenceindatamanagementin2023AutomationpotentialofgenerativeAIindatamanagementworldwide2023AutomationpotentialCollectingdata30%

40%Processingdata50%0%10%20%60%70%80%90%100%79%WithgenerativeAI90.5%68%WithoutgenerativeAI73%14Description: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%15Description:NearlyallformsofdecisionmakingcanbeenhancedconsiderablywiththeinvolvementofgenerativeAIintheprocess.Thegreatestimprovementinautomationwouldbeinmanagemend,wheretheautomationpotentialmorethantripled.

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

04UseofgenerativeAIShareofrespondentsusinggenerativeAIatworkoroutsideofworkin2023,byindustryShareofgenerativeAIuseatworkoroutsideworkworldwidein2023,byindustryShareofrespondentsRegularlyusedforworkHavetriedatleastonceRegularlyusedforworkandoutsideofworkNoexposureRegularlyusedoutsideofworkDon'tknow0204060801002120AdvancedindustriesBusiness,legal,andprofessionalConsumergoods/retail51116124741152157161371140264Energyandmaterials68155019143Financialservices81618414Healthcare,pharma,andmedicalproductsTechnology,media,andtelecom6101744157141919379317Description:MostpeopleinnearlyallindustriesaroundtheworldhavetriedagenerativeAItoolatleastoncein2023.ThoseworkinginretailandconsumergoodsindustrywerethelargestgroupofthosewhohadnoexposuretogenerativeAItools.Ingeneral,thoseintechnology,media,andtelecomwerefarlikeliertohaveusedgenerativeAItoolsatworkoroutsideofworkregularly.ThisisperhapsunsurprisingasthesefieldsarethemostlikelytoinvolvetheuseofgenerativeAIinbusinesspractices.

ReadmoreNote(s):Worldwide;11-21.April2023;1684respondentsSource(s):McKinsey&CompanyShareofrespondentsusinggenerativeAIatworkoroutsideofworkin2023,byregionShareofgenerativeAIuseatworkoroutsideworkworldwidein2023,byregionShareofrespondentsRegularlyusedforworkHavetriedatleastonceRegularlyusedforworkandoutsideofworkNoexposureRegularlyusedoutsideofworkDon'tknow020406080100120Asia-PacificDevelopingmarketsEurope4181936193911203423310914221145156GreaterChinaNorth-America1018463814361319318Description:MostrespondentsaroundtheworldhadtriedgenerativeAItoolsatleastoncein2023,thoughChinaandEuropeweresignificantlyhigherinthatregardthanotherregions.InfactGreaterChinahadthehighestoveralluse,withonly17percentneitherknowingorhavingnoexposuretogenerativeAI.DevelopingmarketshadtheleastinteractionwithgenerativeAIoverall,thoughtheywerethelikeliestonestouseitjustoutsideofwork.ReadmoreNote(s):Worldwide;11-21.April2023;1684respondentsSource(s):McKinsey&CompanyLeadingusecasesofgenerativeartificialintelligence(AI)invariouscountriesworldwidein2023MainusesofgenerativeAIinselectcountriesworldwide2023Writepersonalnotesoremails28%Forfun/messingaround38%Learningabouttopicsthatinterestme34%19Description:MostpeopleusedgenerativeAItosimplyhavefun,messingaroundwiththevarietyofpossibilitiessuchasimagegeneration,discussingwithchatbots,oraskingquestions.Fewpeopleusedittowritenotesandemails,butstillalmostathirdofrespondentsin2023.ReadmoreNote(s):Australia,India,UnitedKingdom,UnitedStates;2023;4,000respondentsSource(s):SalesforceResearchLeadingwaystoincreasetheusageofgenerativeartificialintelligence(AI)invariouscountriesworldwidein2023PathstoincreasetheuseofgenerativeAIinselectcountriesworldwidein202370%63%61%58%60%50%40%30%20%10%0%50%49%49%PeoplewouldusePeoplewouldusePeoplewouldusePeoplewouldusePeoplewouldusePeoplewouldusegenerativeAImoreifit

generativeAImoreiftheygenerativeAImoreifthey

generativeAImoreifwasmoresecureorsafe*

knewmoreaboutthe

knewhowtouseitbetter

companiesweremoregenerativeAImoreifit

generativeAImoreifitwasintegratedintowaseasiertousetechnologyoveralltransparentabouthow

technologytheyalreadytheywereusingit

use20Description:MostrespondentswereconcernedwithsecurityandsafetywhenusinggenerativeAIin2023.LessthanhalfofuserswantedgenerativeAItobemoreaccessableoreasiertouseforthemtoutilizeitmore.

ReadmoreNote(s):Australia,India,UnitedKingdom,UnitedStates;2023;4,000respondents;*Thesourceaddsthefollowinginformation:"i.e.,theinformationIputinwouldn'tbeusedelsewherewithoutmyknoweldgeorconsent".ReadmoreSource(s):SalesforceResearchWayspeoplewouldbeinterestedinusinggenerativeartificialintelligence(AI)invariouscountriesworldwidein2023MaindesiredusesofgenerativeAIinselectcountriesworldwidein202380%75%75%70%60%50%40%30%20%10%0%65%WriteworkcommunicationsSynthesizemeetingnotesAutomatetasksatwork21Description:ThemostdesiredusecasesforgenerativeAIin2023weresimpletasksintheworkplace.Bothwritingcommunications,possiblyemails,andautomatingtaskswereadesiredusecasefor75percentofrespondents.

ReadmoreNote(s):Australia,India,UnitedKingdom,UnitedStates;2023;4,000respondentsSource(s):SalesforceResearchCHAPTER

05GenerativeAIinU.S.enterprisesGenerativeartificialintelligence(AI)effectonautomationintheUnitedStatesfrom2023to2030,byindustryIncreasedlevelofautomationwithgenerativeAIintheU.S.2023Increaseinautomation6%

8%0%2%4%10%12%14%16%18%EducationandworkforcetrainingSTEMprofessionalsCreativesandartsmanagementBusinessandlegalprofessionalsManagers16%16%15%14%9%9%CommunityservicesAllsectors8%Officesupport7%PropertymaintenanceBuildersCustomerserviceandsalesHealthprofessionalsTransportationservices6%6%6%6%5%23Description:STEMprofessionalpositionsaswellaseducationwillseethegreatestincreaseinautomationwithgenerativeAIovertheperiod2023to2030.Theleasteffectedsectorwillbeagriculture.Beingalaborintensiveandnon-digitalfield,itreapstheleastbenefitsfromincreasedgenerativeAIuse.ReadmoreNote(s):UnitedStates;June2023Source(s):McKinsey&CompanyAutomationpotentialwithandwithoutgenerativeartificialintelligence(AI)intheU.S.in2023,bylevelofeducationAutomationpotentialofgenerativeAIintheU.S.2023,byeducationAutomationpotentialWithoutgenerativeAI20%WithgenerativeAI0%10%30%28%40%50%60%70%Master's,PhD,orhigherBachelor'sdegree57%36%60%45%Associate'sdegree62%48%Somecollage64%51%HighschooldiplomatorequivelantNohighschooldegree64%54%63%24Description:GenerativeAImadethegreatestdifferenceinautomationpotentialforthoseprofessionsneedingMaster'sdegreesorhigherlevelsofeducation.ThisstillleavesthiseducationlevelastheleastautomatableoneintheUnitedStatesin2023.Thelackofincreaseinautomationforthosewithhighschooldiplomasorlowerleveleducationisinalllikelyhoodbecausethosewitheducationofthatlevelworkhighlyphysicalandirregularjobsandthosearedifficulttoautomateforthedigital[...]ReadmoreNote(s):UnitedStates;2023Source(s):McKinsey&CompanyGenerativeartificialintelligence(AI)effectonlabordemandintheUnitedStatesfrom2023to2030,byindustryIncreasedleveloflabordemandwithgenerativeAIintheU.S.2023Increaseinautomation5%

10%-5%0%15%20%25%30%35%Healthaides,technicians,andwellnessHealthprofessionals30%30%STEMprofessionals23%BuildersManagersCreativesandartsmanagementPropertymaintenanceTransportationservicesAllsectors12%11%11%10%9%8%BusinessandlegalprofessionalsCommunityservicesMechanicalinstallationandrepairEducationandworkforcetraining7%7%7%3%25Description:Healthservices,bothprofessionalsandaides,areexpectedtoseethegreatestgrowthinautomationwithgenerativeAIaccelerationby2030.Anearly30percentincreaseinlabordemandfortheseprofessionsfaroutstripstheaverageofaroundtenpercentoverall.OfficesupportismostlikelytodropsignificantlywithgenerativeAIacceleration,thosepositionsbeingthemostdigitalandyetmostautomatebleinthemodernworkforce.ReadmoreNote(s):UnitedStates;June2023Source(s):McKinsey&CompanyUseofgenerativeartificialintelligence(AI)programsintheUnitedStatesin2023,byusecaseUsageofgenerativeAIintheU.S.2023Shareofrespondents30%

40%0%10%20%50%60%70%68%80%AnsweraquestionBrainstormingPhotos54%37%Music31%31%VideosDesigns29%29%StoriesArtwork27%26%25%DataAnalysisEmailsBlogpostsCoding19%18%Lyrics18%26Description:ThemainuseofgenerativeAIwasinseekinganswerstoquestionstheuserdidnotknoworgenerallybrainstorming.OverhalftherespondentsusedgenerativeAIinsuchcasesin2023.Codingandwritinglyricsweretheleastinfluentialusecases,withbarely18percentofusersusinggenerativeAIinsuchtasks.ReadmoreNote(s):UnitedStates;2023;2,000respondentsSource(s):TheVergePossiblelayoffsincompaniesintheUnitedStatesduetoChatGPTadoptionasofFebruary2023U.S.companiesexpectedlayoffscausedbyChatGPTusage2023DefinitelyProbably35%30%25%20%15%10%5%33%32%31%26%0%Untiltheendof2023Withinfiveyears27Description:InaFebruary2023survey,33percentofbusinessleadersintheUnitedStatessaidthatusageofChatGPTwilldefinitelycausemorelayoffsbytheendof2023.Af