2024年科技行业发展趋势研究报告-培训课件外文版2024.4

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TRENDSTechtrends2024CHAPTER

01ITspendingoutlookInformationtechnology(IT)spendingworldwidefrom2012to2024,bysegment(inbillionU.S.dollars)GlobalITspendingforecast2012-2024,bysegmentDataCenterSystemsDevicesEnterprisesoftwareITServicesCommunicationServices6,0005,0004,0003,0002,0001,00002012201320142015201620172018201920202021202220232024*4Description:Theglobalinformationtechnology(IT)spendingondevices,includingPCs,tablets,mobilephones,printers,aswellasdatacentersystems,enterprisesoftware,andcommunicationsservicescameto4.7trillionU.S.dollarsin2023.By2024,ITspendingisexpectedtoincreasetoastaggeringfivetrilliondollarsworldwide.ReadmoreNote(s):Worldwide;2012to2023;*ForecastReadmoreSource(s):GartnerInformationtechnology(IT)servicesspendingforecastworldwidefrom2008to2024(inbillionU.S.dollars)ITservicesglobalspendingforecast2008-20241,8001,6001,4001,2001,00080060040020002008200920102011201220132014201520162017201820192020202120222023*

2024*5Description:In2023,spendingonITservicesisprojectedtoamounttoaround1.42trillionU.S.dollarsworldwide.ReadmoreNote(s):Worldwide;2008to2022;*ForecastReadmoreSource(s):GartnerITbudgetchangefortechcompaniesinNorthAmericaandEuropefrom2020to2024ITbudgetchangefortechcompaniesinNorthAmericaandEurope2020-2024IncreaseNochangeDecreaseDon'tknow120%100%80%60%40%20%0%3%4%5%7%5%4%8%6%17%30%35%38%44%46%66%53%51%44%33%202020212022202320246Description:ThemajorityofrespondentsfromNorthAmericaandEuropestatedthattheircompanyexpectedanincreaseintheirITbudgetin2024.Onlyfourpercentofrespondentsansweredthattheircompany'sITbudgetwoulddecreasein2024.

ReadmoreNote(s):NorthAmerica,Europe;JunetoJuly2023;883respondents;ITprofessionalsSource(s):AberdeenGroup;Spiceworks;SWZDAllocationofinformationtechnology(IT)budgetsinorganizationsinNorthAmericaandEuropein2024,bysegmentITbudgetallocationNorthAmerica/Europe2024,bysegment25%20%20%20%15%10%5%15%14%9%8%8%6%0%7Description:Theexpectedallocationofinformationtechnology(IT)budgetsin2024,accordingtoa2023surveyofNorthAmericanandEuropeanITprofessionals,isthelargestforthehardwareandsoftwaresegments,accountingfor20percentofthetotalITbudgetforeachsegment.Bycontrast,managedserviceprojectswillonlybeallocated14percentofacompanyITbudgetfor2024.ReadmoreNote(s):NorthAmerica,Europe;JunetoJuly2023;883respondents;ITprofessionalsSource(s):AberdeenGroup;Spiceworks;SWZDArtificialintelligence(AI)investmentgrowthfrom2015to2025(inbillionU.S.dollars)GrowthofAIinvestmentglobally2015-2025(inbillionU.S.dollars)WorldUnitedStatesChina18016014012010080158.41132.12110.1993.5491.981.768.1429.6656.8324.7452.8817.2120216048.1647.445.1238.0535.574020028.1710.2825.5312.4922.9413.5120.6317.768.9217.4110.2711.0520186.676.643.922.072015201620172019202020222023*2024*2025*8Description:AIinvestmentislikelytocontinuegrowingfollowingamassivespikein2021.InvestmentlevelsinAInearlydoubledbetween2020and2021andareexpectedtoshowanoticablyincreasedupwardtrendfrom2022onwards.

ReadmoreNote(s):Worldwide,China,UnitedStates;2015to2023;*ForecastReadmoreSource(s):GoldmanSachsCHAPTER

02AIintegrationeverywhereArtificialintelligence(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*10Description:AccordingtoNextMoveStrategyConsultingthemarketforartificialintelligence(AI)isexpectedtoshowstronggrowthinthecomingdecade.Itsvalueofnearly100billionU.S.dollarsisexpectedtogrowtwentyfoldby2030,uptonearlytwotrillionU.S.dollars.TheAImarketcoversavastnumberofindustries.Everythingfromsupplychains,marketing,productmaking,research,analysis,andmorearefieldsthatwillinsomeaspectadoptartificialintelligencewithintheirbusinessstructures.[...]

ReadmoreNote(s):Worldwide;*ForecastReadmoreSource(s):NextMoveStrategyConsultingGenerativeartificialintelligence(AI)revenueworldwidefrom2020withforecastuntil2032(inbillionU.S.dollars)WorldwidegenerativeAIrevenue2020-20321,4001,2001,0008001,3041,07989772860054839940030421720001376740231420202021202220232024*2025*2026*2027*2028*2029*2030*2031*2032*11Description:Thegenerativeartificialintelligence(AI)marketisexpectedtorisesignificantly,from14billionU.S.dollarsin2020tonearly900billionU.S.dollarsin2023andmorethan1.3trillionU.S.dollarsin2032.ThisisduetoanexplosionofgenerativeAItoolsinrecentyearssuchasBardbyGoogle,ChatGPTbyOpenAI,andMidjourneybyMidjourney,Inc.ReadmoreNote(s):Worldwide;2023;*ForecastReadmoreSource(s):BloombergOfthefollowingtechnologies,whichdoyouthinkwillbethemostimportantinhelpingyourbusinessachieveitsshort-termambitions(overthenext0-3years)?Mostimportanttechnologiesforbusinessesshort-termambitionsasof202357%60%50%40%30%20%10%0%42%41%37%35%32%30%27%12Description:Artificialintelligence(AI)wasidentifiedasoneofthemostimportanttechnologiesforbusinessesinhelpingtoachieveshort-termambitionspera2023survey.ThisfollowsaglobaltrendofrecognizingtheimportanceofAI,particularlywiththeexplosioningenerativeAIfromearly2023.Othernotabletechnologiesreferencedbybusinessesincludeedgecomputing,robotics,automation.ReadmoreNote(s):Worldwide;2023;2,100respondents;executivesfrom16countriesSource(s):KPMGInternationalOverthepast24months,haveyourdigitaltransformationeffortswiththefollowingtechnologiespositivelyimpactedprofitabilityorperformance?Positiveimpactofnewtechnologyonbusinessperformanceasof2023,bytechnology70%66%64%64%63%60%59%60%50%40%30%20%10%0%DataandanalyticsCybersecurityPubliccloudandXaaStechnologiesAIandautomationVR/AR(includingthemetaverse)Lowcode/nocode13Description:Amajorityofexecutivesrespondedthathigh-endtechnologiesusedintheirrespectiveenterprises'digitaltransformationhadhadapositiveimpactoverthepast24monthspera2023survey.Thelargestshareofrespondentssaidthatdataandanalyticshadthemostpositiveeffectandincreasedprofitsorperformance.ReadmoreNote(s):Worldwide;2023;2,100respondents;executivesfrom16countriesSource(s):KPMGInternationalMedianvaluationsforartificialintelligence(AI)andnon-AIstartupsworldwidein2023,bystage(inmillionU.S.dollars)MedianvaluationsforAIandnon-AIstartupsworldwide2023,bystageAINon-AI20018016014012010080188.8118.669.76050.24018.615.4200SeedSeriesASeriesB14Description:ValuationsforAIstartupsbackedbyfundingfromventurecapitalistswerehigherthannon-AIstartupsin2023.Atseedlevel,AIstartupscommandedvaluations20percenthigherthanothercompaniesraisingfunding,whileAIstartupsraisingSeriesBfundingobservedvaluationsthatwerenearly60percenthigher.ReadmoreNote(s):Worldwide;2023Source(s):CBInsightsCHAPTER

03TheriseofmanagedserviceprovidersArtificialintelligence(AI)deploymentlocationswhentraininginenterprisesgloballyin2023,byadoptionlevelDeploymentlocationofAIwhentraininginenterprisesglobally2023,byadoptionAIpioneers(inproduction)AIexplorers(inPOC/pilot)60%50%40%30%20%10%0%48%45%42%38%

38%37%36%35%34%34%34%30%29%28%27%27%25%24%16Description:PioneersinAI,thosethatadopteditearlierthanothercompanies,weremorelikelytoutilizeallprofessionalservicesthanthosecompaniesclassedasexplorersin2023.Bycontrast,theleastuseddeployementlocationforbothAIpioneersandAIexplorerswasIoTdevice/gateway.ReadmoreNote(s):Worldwide;2023;1,516respondentsSource(s):S&PGlobalMarketIntelligence;WEKAPubliccloudapplicationservices/softwareasaservice(SaaS)end-userspendingworldwidefrom2015to2024(inbillionU.S.dollars)Globalpubliccloudapplicationservices(SaaS)marketsize2015-2024250200232.3197.29167.34146.3315010050120.7102.185.758.848.231.40201520162017201820192020202120222023*2024*17Description:In2023,thesoftwareasaservice(SaaS)marketisestimatedtobeworthapproximately197billionU.S.dollarsandestimatedtoreach232billionU.S.dollarsby2024.SaaSapplicationsareruninthecloudandusuallyaccessiblethroughdesktopsandmobileapplications,aswellasthroughawebinterface.ReadmoreNote(s):Worldwide;2015to2024;*Forecast.ReadmoreSource(s):GartnerPubliccloudplatformasaservice(PaaS)end-userspendingworldwidefrom2015to2024(inbillionU.S.dollars)Publiccloudapplicationinfrastructureservicesmarket2015-202420018016014012010080176.49145.32119.5889.959603840200261294201520162017201820192020202120222023*2024*18Description:In2024,theplatformasaservice(PaaS)marketworldwideisestimatedtobeworthover176billionU.S.dollars.ThisgrowthunderscoresthevaluePaaSoffersbysimplifyinginfrastructuremanagementforsoftwaredevelopment.AsgenerativeAImarketgrowsrapidly,PaaSisprovinginstrumentalinitsdevelopmentanddeployment.ReadmoreNote(s):Worldwide;2015to2023;*ForecastReadmoreSource(s):GartnerPubliccloudinfrastructureasaservice(IaaS)end-userspendingworldwidefrom2015to2024(inbillionU.S.dollars)Globalpubliccloudinfrastructureasaservicemarketsize2015-2024250200150195.45150.31114.7910050090.89202164453225251620152016201720182019202020222023*2024*19Description:In2023,theInfrastructureasaService(IaaS)marketisexpectedtobewortharound150billionU.S.dollars.IaaSisacomputinginfrastructurethatisprovisionedandmanagedovertheinternetbyacloudprovider.IaaSdeliversfundamentalnetwork,compute,andstorageresourcestocustomersondemand.Thismodelreducestheneedforanownedinfrastructurethatisdifficultandexpensivetomaintain.ReadmoreNote(s):Worldwide;2015to2023;*ForecastReadmoreSource(s):GartnerSizeofthemanagedservicemarketworldwidein2023withforecastto2032(inbillionU.S.dollars)Managedservicesmarketsizeforecastworldwide2023-2032900800700600500834.7735.7657.5595.7532.4496449.5396.24003002001000344.4312.12023278.9202220242025202620272028202920302031203220Description:Theglobalmanagedservicesmarketwasvaluedatnearly279billionU.S.dollarsin2022.ThelargestmarketisNorthAmerica,whilethefastestgrowingmarketisAsiaPacific.Overall,theglobalmanagedservicesmarketisexpectedtoexceed500billionU.S.dollarsin2028.ReadmoreNote(s):Worldwide;2022Source(s):Market.usCHAPTER

04AIchips:PoweringtherevolutionArtificialintelligence(AI)chipmarketrevenuefrom2022to2027(inbillionU.S.dollars)AIchipmarketrevenue2022-202714012010080119.467.156053.4544.224020020222023*2024*2027*22Description:In2022,theartificialintelligence(AI)chipmarketreached44.2billionU.S.dollars.Thisfigureisforecasttoincreaseto53.5billiondollarsbytheendof2023asthehypearoundAIapplicationscontinuestogrow,withlongerforecastssuggestingthemarketwillapproach120billionU.S.dollarsin2027.ReadmoreNote(s):Worldwide;2022to2023;*Forecast.ReadmoreSource(s):GartnerSemiconductormarketrevenueworldwidefrom2020to2025,byendmarket(inbillionU.S.dollars)Semiconductormarketrevenueworldwide2020-2025,byendmarketSmartphonePersonalcomputingConsumerelectronicsAutomotiveIndustrialelectronicsWiredandwirelessinfrastructureServers,datacenters,andstorage800700600500400300200100013660785074104763851405010474796089107100146117104202020222025*23Description:By2025,oneoftheleadingendmarketswithintheglobalsemiconductorindustryisexpectedtobesmartphones,particularlythecontinueddevelopmentofimagesensorsandedgeartificialintelligence(AI)processorsinsuchdevices.In2023,thesmartphonesemiconductormarketwasvaluedat104billionU.S.dollars,withprojectionssuggestingthisislikelytoriseto146billionU.S.dollarsby2025.ReadmoreNote(s):Worldwide;2020to2023;*Forecast.Thesourcecalculatedthesemiconductormarketsizebyapplicationbasedonindustrybasedonexternalresearchofmarketoutlook.

ReadmoreSource(s):ASMLInformationtechnology(IT)spendingondatacentersystemsworldwidefrom2012to2024(inbillionU.S.dollars)ITdatacentersystemstotalspendingworldwide2012-2024250235.53221.22217.88215216210200181179171170166163150100501400201220132014201520162017201820192020202120222023*2024*24Description:In2023,spendingondatacentersystemsisexpectedtoamountto217billionU.S.dollars,aslightdecreaseofaround1.5percentcomparedtothepreviousyear.TheoverallITmarketexperiencedarecessionin2020,duetothenegativeeconomicimpactbroughtaboutbythecoronavirus(COVID-19)pandemic,butisalmostbacktothesamelevelsasin2019.ReadmoreNote(s):Worldwide;2012to2023;*ForecastReadmoreSource(s):GartnerLeadingsemiconductorcompaniesworldwidein2024,bymarketcapitalization(inbillionU.S.dollars)Leadingsemiconductorcompaniesworldwide2024,bymarketcapMarketcapitalizationinbillionU.S.dollars1,000

1,50005002,0002,500NvidiaTSMC2,204714.45BroadcomASMLSamsung573.81383.22364.73308.7AMDQualcommIntel186.57180.23AppliedMaterialsTexasInstrumentsArmHoldingsLamResearchTokyoElectron166.53156.17133.47121.55114.1225Description:AsofMarch18,2024,Nvidiarankedasoneoftheleadingsemiconductorcompaniesintermsofmarketcapitalization,followedbythelikesofTSMC,Broadcom,andASML.Thismixofcompaniesreflectsthebroadandcomplexnatureofthesemiconductorindustry,withfirmsfeaturingfromacrossallpartsofthechipecosystem.ReadmoreNote(s):Worldwide;March2024Source(s):CompaniesMarketCNvidiaspecializedmarketrevenueworldwidefromfiscalyear2019to2024,byquarter(inmillionU.S.dollars)NvidiaspecializedmarketrevenueworldwideFY2019-2024,byquarterDataCenterGamingProfessionalVisualizationAutoOEM&Other20,00018,00016,00014,00012,00010,0008,0006,0004,0002,000018,40414,51410,3234,2842,2403,750

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3,2633,0612,9362,856

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1,7641,6591,765241,4911,5741,3131,3391,141968760

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202426Description:InthefourthquarterofNvidia's2024fiscalyear,revenuefromdatacentersamountedto18.4billionU.S.dollars,adramaticincreasefromthe3.6billionU.S.dollarsthecompanygeneratedinthissegmentinthesamequarteroflastyear.Nvidia’stechnologiesarebeingdeployedforacceleratedcomputingandgenerativeAIapplications,notablyChatGPT.ReadmoreNote(s):Worldwide;FY2019to2024Source(s):NvidiaCHAPTER

05AIincybersecurityGlobalrisksbeingmitigatedbyorganizationswhenadoptingartificialintelligence(AI)in2022RisksfromAIthatorganizationsaremitigatingworldwide2022Shareofrespondents20%0%10%30%40%50%60%CybersecurityRegulatorycompliancePersonal/individualprivacyExplainability51%36%28%22%22%OrganizationalreputationEquityandfairness18%Workforce/labourdisplacementPhysicalsafety17%15%Nationalsecurity7%Politicalstability4%28Description:Cybersecurityremainstheprimarytargetofmitigationfororganizationsadoptingartificialintelligence(AI)withintheirbusinessin2022.Overhalfthebusinessessurveyedrespondedthattheyweretakingstepstomitigatecybersecurityrisks.ThisislikelybecausetherecentnatureofAIalongwithadesiretokeepenterpriseinterestssecretmeansbusinesseskeepacloseeyeontheriskofadoptingnewprograms.Politicalstabilityandnationalsecurityweretheleastofbusinessconcern,with[...]

ReadmoreNote(s):Worldwide;2022Source(s):McKinsey&Company;StanfordUniversityLeadingskillsgapsamongcybersecurityteamsworldwidein2023Mainskillsgapsamongcybersecurityteamsworldwide2023Shareofrespondents0%5%10%15%20%25%30%29%35%35%40%CloudcomputingsecurityArtificialintelligence/machinelearningZeroTrustimplementation32%Penetrationtesting27%26%26%ApplicationsecurityDigitalforensicsandincidentresponseRiskassessment,analysisandmanagementSecurityengineering24%23%23%22%ThreatintelligenceanalysisMalwareresearch/analysis29Description:In2023,whenaskedaboutthemainskillsgapswithintheirorganization'scybersecurityteam,35percentofrespondentshighlightedcloudcomputingsecurity.Artificialintelligenceandmachinelearningrankedsecond,mentionedby32percentofrespondents.ZeroTrustimplementationfollowed,with29percentofrespondentsconsideringittobethebiggestskillsgapintheircybersecurityteam.ReadmoreNote(s):Worldwide;ApriltoMay,2023;11,473respondents;globalcybersecurityprofessionalsSource(s):ISC2WhatdoyouseeasthemostsignificantbenefitsofincorporatingAIintoyourcybersecurityoperations?MainbenefitsofincorporatingAIintocybersecurityoperations2023Shareofrespondents20%

30%0%10%40%50%60%58%70%ImprovedthreatdetectionImprovedvulnerabilitymanagementAcceleratedincidentresponsetimesImproveddefenseatscale57%56%48%Improvedglobalvisibility44%ReducedfalsepositivesecurityalertsAutomationeasestalentshortage43%37%30Description:Accordingtoa2023surveyofcybersecurityprofessionals,nearly60percentofrespondentsworldwideconsideredimprovedthreatdetectionasthemostsignificantbenefitofincorporatingartificialintelligenceintotheircybersecurityoperations.Improvedvulnerabilitymanagementrankedsecond,accordingto57percentofrespondents.Overall,overone-thirdofrespondentssawtheautomationapplicationsofAIasawaytoeasetalentshortageissuesincybersecurityoperations.

ReadmoreNote(s):Worldwide;September2023;457respondents;cybersecurityprofessionalsacrossmultipleindustriesSource(s):AristaNetworks;CybersecurityInsiders;Enea;ZscalerWhichemergingAIandMLtechniquesholdthemostpromiseforenhancingcybersecuritydefenses?MostpromisingemergingAIandMLtechniquesforenhancingcybersecurity2023Shareofrespondents0%

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10%15%20%25%30%35%40%45%50%48%55%DeeplearningfordetectingmalwareinencryptedtrafficNaturallanguageprocessing(NLP)foradvancedphishingdetectionTransferlearningforrapidadaptationtonewthreatlandscapesReinforcementlearningfordynamicsecuritypolicymanagementQuantumcomputing-enhancedAIalgorithmsforadvancedcryptographyGenerativeadversarialnetworks(GANs)forthreatsimulationandtesting30%22%20%19%18%31Description:Accordingtoa2023surveyofcybersecurityprofessionals,approximatelyhalfofrespondentsworldwideconsidereddeeplearningthemostpromisingemergingartificialintelligence(AI)ormachinelearningtechniqueforenhancingcybersecuritydefenses,particularlyfordetectingmalwareinencryptedtraffic.Naturallanguageprocessingforadvancedphishingdetectionrankedsecond,accordingto30percentofrespondents.Overall,nearly20percentofrespondentssawquantum[...]

ReadmoreNote(s):Worldwide;September2023;457respondents;cybersecurityprofessionalsacrossmultipleindustriesSource(s):AristaNetworks;CybersecurityInsiders;Enea;ZscalerWhatareyourtopconcernsaboutintegratingAIintoyourcybersecurityoperations?MainconcernsaboutincorporatingAIintocybersecurityoperations2023Shareofrespondents15%

20%0%5%10%25%30%35%40%45%50%DataprivacyandsecurityEffectivenessofAI46%43%LegalandregulatoryconstraintsLackofskillsorexpertiseLimitedtechunderstanding41%40%36%32Description:Accordingtoa2023surveyofcybersecurityprofessionals,over45percentofrespondentsworldwideconsidereddataprivacyandsecurityasthebiggestconcernaboutincorporatingartificialintelligence(AI)intotheircybersecurityoperations.AIeffectivenessrankedsecond,accordingto43percentofrespondents.Overall,40percentofrespondentssawlackofskillsorexpertiseasthemainchallengeassociatedwithintegratingAIintocybersecurityoperations.

ReadmoreNote(s):Worldwide;September2023;457respondents;cybersecurityprofessionalsacrossmultipleindustriesSource(s):AristaNetworks;CybersecurityInsiders;Enea;ZscalerCHAPTER

06AIinprogramminganddevelopmentPercentageoftechnologyprofessionalswhouseartificialintelligence(AI)toolsdailyworldwidein2023,byprofessionShareofITprofessionalswhouseAItoolsdailyworldwide2023,byprofessionShareofrespondents0%10%20%30%40%50%60%56.2%MachineLearningengineerDatascientist45.1%Front-enddeveloperWebdesigner37.2%35.9%Back-enddeveloperFull-stackdeveloper35.4%34.7%34Description:In2023,AItoolswereuseddailybyITprofessionalsacrossvariousfields.Inthatyear,over56percentofmachinelearningengineersgloballyreportedusingthesetoolseveryday,whiledatascientistsfollowedclosely,witharound45percentstatingdailyusage.Back-enddevelopersandfull-stackdevelopersreportedslightlylowerusage,with35.4percentand34.7percentrespectivelystatingthattheyuseAItoolsdaily.

ReadmoreNote(s):Worldwide;June3to22,2023;3,240respondentsSource(s):ZeroToMasteryMostpopularartificialintelligence(AI)toolsamongtechnologyprofessionalsworldwidein2023MostpopularAItoolsamongITprofessionalsworldwide2023Shareofrespondents30%0%10%20%40%50%60%70%80%74.9%ChatGPT(3.5+4Combined)ChatGPT3.558.4%VisualStudioIntelliCodeGithubCoPilot24.4%17.3%16.5%ChatGPT4(Paidversion)BardbyGoogle14.5%Tabnine6.7%5.5%3.4%Midiourney5.5%StableDiffusionAmazonCodewhispererGuidancebyMicrosoftCodeT52.7%2.3%1.5%1.4%Polycode35Description:Artificialintelligence(AI)hasgainedsignificanttractionintheglobalprogrammingcommunitywiththereleaseofnumerousdevelopmenttools.In2023,OpenAI’sproductstoppedthelistofthemostusedtoolsbytechnologyprofessionalsworldwide.Nearly75percentoftheseprofessionalsreportedusingChatGPT,includingversions3.5and4,whileover58percentspecificallyreportedusingChatGPT3.5.Microsoftwasn’tfarbehindwithitsAIcodingproducts.VisualStudioIntelliCodewas[...]

ReadmoreNote(s):Worldwide;June3to22,2023;3,240respondents;ITprofessionalsincludewebdesigners,machinelearningengineers,datascientists,front-enddevelopers,back-enddevelopers,andfull-stackdevelopersSource(s):ZeroToMasteryMostpopularusesofAIinthedevelopmentworkflowamongdevelopersworldwideasof2023MostpopularusesofAIinthedevelopmentworkflowglobally2023ShareofrespondentsInterestedinusing

Currentlyusing30%

40%0%10%20%50%60%70%80%90%23.72%WritingcodeDebuggingandgettinghelpDocumentingcode82.55%40.66%48.89%50.24%34.37%48.97%LearningaboutacodebaseTestingcode30.1%55.17%23.87%38.54%Projectplanning13.52%10.09%49.51%CommittingandreviewingcodeDeploymentandmonitoringCollaboratingwithteammates45.44%4.74%3.65%29.98%36Description:Accordingtothe2023StackOverflowDeveloperSurvey,around83percentofdevelopersreportedthattheywerecurrentlyusingAItoolsforwritingcode.DebuggingandgettinghelpwasthesecondmostpopularuseforAItoolsamongdeveloperswitharound49percentofdeveloperscurrentlyusingitasof2023.ReadmoreNote(s):Worldwide;May8to19,2023;37,726respondents;SoftwaredevelopersSource(s):StackOverflowBenefitsofusingartificialintelligence(AI)inthedevelopmentworkflowaccordingtodevelopersworldwideasof2023BenefitsofusingAIinthedevelopmentworkflowglobally2023Shareofrespondents0%5%10%15%20%25%30%35%IncreaseproductivitySpeeduplearning32.8%25.17%Greaterefficiency24.96%ImproveaccuracyincodingImprovecollaboration13.31%3.75%37Description:Accordingtothe2023StackOverflowdevelopersurvey,around32.8percentofdevelopersreportedthatthemostimportantbenefitofusingartificialintelligence(AI)toolsintheirdevelopmentworkflowwasincreasedproductivity.Approximately25.2percentand25percentreportedthatthemostsignificantadvantagesofAItoolswereacceleratedlearningandgreaterefficiency,respectively.Interestingly,onlyaround13.3percentreportedthatAItoolsimprovedaccuracyincoding.

ReadmoreNote(s):Worldwide;May8to19,2023;38,594respondents;SoftwaredevelopersSource(s):StackOverflowAccuracyofartificialintelligence(AI)toolsinthedevelopmentworkflowaccordingtodevelopersworldwideasof2023AccuracyofAItoolsinthedevelopmentworkflowglobally2023Shareofrespondents0%5%10%15%20%25%30%35%40%45%HighlytrustSomewhattrust2.85%39.3%NeithertrustnordistrustSomewhatdistrustHighlydistrust30.68%21.71%5.46%38Description:Inthe2023Stack