2026年全球企业生成式AI应用状况研究报告

November11-122025

SheratonAustinGeorgetown,Texas

THEGLOBALSTATEOFGENERATIVEAIINENTERPRISE

INDUSTRYREPORT2026

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Contents

GENERATIVEA

WEEK

2TableofContentsandForeword

3ListofTables

3ListofFigures

4EnterpriseMarket&TechnologyLandscape

Foreword

Whenwereleasedourfirststateoftheindustryreport

in2023,enterprisesweregoingthroughawaveof

experimentation,tryingtoidentifyGenAItransformativeusecasesacrossworkflows.2024’sreportshowedan

explosioninpilotstudiesandproofofconcepts,with

10

GenAIinCoreIndustries

10

11

14

17

20

24

25

GenAIinFinancialServices

Industries

GenAIinCreative

GenAIinRetail

GenAIinManufacturing

GenAIinHealthcare

GenAIinEducation

GenAIinTransportation

28

AIIndustryTrends

28

29

35

AIInfrastructure&Architecture

AgenticAI

AIGovernance–Risk,Compliance,ResponsibleAI

37

Studies

GenAIinEnterprise:Case

39

GenAITechnology

43

GenAIandInvestments

45

GenAIInfrastructureDevelopment

47

ValueCreationthroughGenAI

48

VendorLandscape

50

Appendix

57

Bibliography

enterprisesseekingtodefinegovernancepolicies,infrastructurerequirementsandvaluecreation.

Thisyear’sreportshowshowfastthelandscapeisevolving,asenterprisesmovingfrompilotintofull-scaleproduction,effectivelydeployingandscalingGenerativeAIinitiativestodelivertangiblebusinessvalue.

Inthisreport,weseektohighlightthekeyforcesshapingGenerativeAIadoption:

GenerativeAIinCoreIndustries:Howsector-specificusecasesareevolvingandwhat’sworking

AIIndustryTrends:Wherethetechnologyisheadingandwhat’sdrivingthenextwaveofinnovation

AIintheEnterprise:Whatbest-in-classoperationalisationlookslike-fromarchitecturetogovernance

GenAIInvestments:Wherecapitalisflowingandhowit’sreshapingthecompetitivelandscape

GenAIInfrastructure:Howleadersarebuildingscalable,flexible,andcost-effectiveplatformsforAIdeployment

AsweconveneatGenerativeAIWeek,thisreportis

designedtogroundourconversationsinrealdata,realstrategy,andrealoutcomes.It’snotjustasnapshot

ofwherewearetoday-it’saguidetowhat’snextforenterpriseleadersseekingtoimplementGenerativeAIacrossE2Eworkflows.

SamLehmann

EventDirector

GenerativeAIWeek

2StateofGenerativeAIintheenterprise

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Tables

20TABLE5

6TABLE1

Businessfunctionswhereenterprises

areusingGenAIbyindustry(%)

GENERATIVEA

WEEK

42TABLE10

IllustrativecapabilitiesofGenAI

platformsfromselectfrontierlabs

13TABLE2

GenAIusecasesacrossthe

creativeindustriesvaluechain

16TABLE3

ImpactofGenAIontheretailvaluechain

19TABLE4

GenAIapplicationsacrossthemanufacturingvaluechain

20TABLE5

CategorizationofGenAImodelsinmanufacturing

AgenticAIvsGenAIvsTraditionalAI

NotableRAIpolicymakingmilestones

40TABLE8

36TABLE7

41TABLE9

LeadingGenAImodelsandspecifications

Significantmodelanddatasetreleases

30TABLE6

TopprivateequitydealsinGenAI–Q1’2025

Leadingvendors:GenAI

TopprivateequitydealsinGenAI–Q1’2025

44TABLE12

48TABLE13

SignificantAImodelanddatasetreleases,2024onwards

49TABLE14

43TABLE11

Figures

7FIGURE1

GenAIimpactonbusiness

revenues

8FIGURE2

GenAIimplementationstatus

8FIGURE3

GlobalenterpriseGenAImarket

bysegmentsinUS$billions,2025-

2030

9FIGURE4

GlobalenterpriseGenAImarket

byregionin%,2025-2030

9FIGURE5

EnterpriseGenAI:Marketshareof

LLMsin2024in%

10FIGURE6

GenAIopportunitybyfunction

inUS$billion:Banking

15FIGURE7

AirconceptshoebyGenAI

24FIGURE8

PotentialwithGenAIineducation

27FIGURE9

GenAIadoptionandimpactin

transportation

29FIGURE10

GenAIinfrastructurefundingin2024

31FIGURE11

GlobalAgenticAImarketsizein

US$billions,2025-2030

33FIGURE12

EvolutiontomultimodalGenAIagents

GenAIvsAgenticAIapproachto

taskcompletion

34FIGURE13

34FIGURE14

Comparativescoringofleading

AgenticAIsolutions

35FIGURE15

InvestmentinresponsibleAIby

companyrevenue,2024

42FIGURE16

LeadingGenAIAIchatbotsmarket

shareandusergrowthintheU.S.,

April2025

43FIGURE17

GenAIspendingvseconomic

potentialoftheindustry

VCinvestmentsinGenAI,2014-

2024,US$Millions

44FIGURE18

AgenticAIvsGenAIvs

TraditionalAI

3StateofGenerativeAIintheenterprise

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EnterpriseMarket&

TechnologyLandscape

GENERATIVEA

WEEK

Accordingtoa2025U.S.-focusedstudybyMcKinsey,asmanyas71%oftheorganizationsuseGenAIin

atleastonebusinessfunction,upfrom65%inearly2024.Therefore,itisnosurprisethatglobalGenAI

spendingintheenterpriseisestimatedtogrowfromUS$4.0billionin2025toUS$19.2billionin2030ata

CAGRof36.8%.

While2024markedtheyearthatGenAIbecame

astrategicimperativefortheenterprise,as

companiesscaledandlearnedfromtheirpilots,

2025hasbeguntowitnesseffortstodelivera

tangiblereturnoninvestment(ROI)bydeploying

GenAIatscale.However,seniordecisionmakers

arenotexpectedtodemandtangiblevalueand

financialresultsimmediatelyandareoperatingwithamediumtolong-termtimeline.

Afterall,despiteGenAI’smeteoricriseoverthe

lasttwoyears,itisstillverymuchinitsnascent

stagesofdevelopmentandusage,asisevident

fromthefactthat60%ofenterpriseGenAI

investmentstodaycomefrominnovationbudgets.However,with40%ofthespendingsourced

frommorepermanentbudgets,58%ofwhichis

redirectedfromexistingallocations,businesses

aredemonstratingagrowingcommitmenttoAI

transformation.AnotherreasonGenAIwilltake

longtodelivertangiblevalueisthatcompanies

needtodeploytheirlimitedresourcesacross

variouscompetingtransformationalprioritiesandacomplexandever-changingregulatorylandscape.

Anotherpointtoconsideristhatnotallenterprise

GenAIinvestmentswillbefruitful.Infact,accordingtoestimatesbyGartner,atleast30%ofGenAIprojectswillbeabandonedafterproofofconceptbytheendof2025duetopoordataquality,inadequaterisk

controls,escalatingcostsandpowerrequirements,orunclearbusinessvalue.Infact,accordingtoCarlyDavenport,VPatGoldmanSachs,theU.S.willhaveto

spendoverUS$7billionannuallyincapitalinvestmenttofacilitateGenAI-relatednewpowergeneration

alone.Additionally,theywillalsoneedtobuildthe

supportinginfrastructure,suchasthetransmission

wiresthattransportelectricityoverlongdistances

anddistributioncablesthatcarryelectricitytohomes,makingtheoverallinvestmentmuchhigher.

While2024markedtheyear

thatGenAIbecameastrategic

imperativefortheenterprise,ascompaniesscaledandlearned

fromtheirpilots,2025hasbeguntowitnesseffortstodelivera

tangiblereturnoninvestment

(ROI)bydeployingGenAIatscale.However,seniordecisionmakersarenotexpectedtodemand

tangiblevalueandfinancial

resultsimmediately,andare

operatingwithamediumtolong-termtimeline.

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GENERATIVEA

WEEK

EventhoughinvestmentsinfoundationmodelsstilldominateenterpriseGenAIspending,theapplicationlayerisnowgrowingfaster.Thetopthreeareasof

GenAIapplicationspendingarementionedbelow.

'Codecopilots

TheintersectionofAIandcodinghasbecomeoneofthehottestareasinthetechnologyworldregardingVCinvestments.AIcodingtoolscanautomate

variousroutinedevelopmenttaskssuchascode

generation,testing,anddebugging,whichhas

proventobeparticularlyusefulgiventhehugeglobaldemandforsoftwareandtheshortageofskilled

developers.GitHubCopilotsrapidrisetoaUS$300millionrevenuerunratevalidatesthistrajectory,

whileemergingtoolslikeCodeiumandCursorare

alsogrowingfast.Beyondgeneralcodingassistants,enterprisesarealsoinvestingintask-specificcopilotslikeHarnessAIDevOpsEngineerandQAAssistantforpipelinegenerationandtestautomation,alongwithAIagentslikeAllHandsthatcanperformmoreend-to-endsoftwaredevelopment.

2Supportchatbots

AccordingtotheMenloVenturesstudy,support

chatbotsattracted31%ofenterpriseadoptionin

2024.AgoodexampleisglobalbankING,which

hasmanagedtoresolvearound45%ofits85,000weeklycustomerinteractionsintheNetherlands

alonethroughchatbots.Aisera,Decagon,and

Sierraareexamplesofagentsthatinteractdirectlywithendcustomers,whileObserveAIsupports

contactcenteragentswithreal-timeguidanceduringcalls.

3Enterprisesearch&retrievalanddataextraction&transformation

enterprisesareinvestingsignificantlyinthese

solutionstounlockandharnesstheknowledge

oftenhiddenwithindatasilosacrossorganizations.GoodexamplesaresolutionssuchasGleanand

Sanathatconnecttoemails,messengers,and

documentstorestoenableunifiedsemanticsearchacrossdisparatesystemsanddeliverAI-poweredknowledgemanagement.

TheintersectionofAIandcoding

hasbecomeoneofthehottestareasinthetechnologyworldregarding

VCinvestments.AIcodingtoolscan

automatevariousroutinedevelopmenttaskssuchascodegeneration,testing,anddebugging,whichhasproventobeparticularlyusefulgiventhehugeglobaldemandforsoftwareandtheshortageofskilleddevelopers.

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GENERATIVEA

WEEK

Table1:BusinessfunctionswhereenterprisesareusingGenAIbyindustry(%)

Professional

Advanced

Media

Consumer

Financial

Healthcare,

Energy

Overall

Services

Industries

and

Telecom

Goods

andRetail

Services

Pharma,

Medical

and

Materials

49

48

45

46

40

29

33

42

41

39

26

21

25

22

17

28

16

26

22

20

24

30

26

23

23

24

37

13

26

14

13

22

34

17

26

12

16

24

13

21

9

17

30

8

20

13

8

18

17

13

22

8

11

7

16

13

9

6

6

11

21

5

9

11

14

21

10

7

7

6

5

11

4

15

3

14

4

2

6

7

3

13

3

8

0

5

7

5

80

79

79

68

65

63

59

71

Technology

INDUSTRY

BUSINESSFUNCTIONS

55

39

31

30

26

36

16

12

14

10

5

88

Marketingandsales

Productand/

orservice

development

IT

Service

operations

Knowledgemanagement

Software

engineering

Human

resources

Risk,legal,andcompliance

Strategyandcorporate finance

Supplychain/

inventory

management

Manufacturing

UsinggenAI

inatleast1

function

Note:GlobalsurveyconductedbetweenJuly16-31,2024,with1,491participantsatalllevelsoftheorganization

Source:McKinsey

Marketsize

TheglobalenterpriseGenAImarketisestimated

togrowfromUS$4.0billionin2025toUS$19.2billionin2030ataCAGRof36.8%.Oneofthe

mainreasonsforthetechnology’sgrowing

popularityacrosstheenterpriseisthepublic

availabilityofadvancedandbreakthroughGenAItoolssuchasChatGPT,Google’sGemini,and

MicrosoftCopilot,whichhavemadeprofessionals

comfortablewiththepotentialusecasesformoreindustry-centricuse.

Eventhoughthereisconsistentadoptionacross

industries,someofthem,suchasinformation

technology(IT),cybersecurity,operations,

marketing,andcustomerservice,aremorematurethanothers.Moreover,enterprisesthatreported

higherROIfortheirmostscaledinitiativesarebroadlyfurtheralongintheirGenAIjourneys.

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GENERATIVEA

WEEK

Thesoftwaresegmentisexpectedtoaccountfor

thelargest67%sharein2025,withservices

accountingfortherest.Theemergenceand

expectedmeteoricriseofAIagentsistheprimary

driverofthesoftwaresegmentovertheshortto

mediumterm,asthetechnologygainsinterestas

abreakthroughinnovationwiththepotentialto

unlockthefullpotentialofGenAI.However,itshouldbenotedthatagenticAIcannotbeconsidereda

silverbullet,andallthebroaderchallengescurrentlyfacingGenAIstillapply.

TheglobalenterpriseGenAImarketisestimatedtogrowfromUS$4.0billionin

2025toUS$19.2billionin2030ataCAGRof36.8%.Oneofthemainreasonsforthetechnology’sgrowthisthepublicavailabilityofadvancedandbreakthrough

GenAItoolssuchasChatGPT,Google’sGemini,andMicrosoftCopilot,whichhavemadeprofessionalscomfortablewiththepotentialusecasesformoreindustry-centricuse.

Figure1:GenAIimpactonbusinessrevenues

Increaseby>10%

Firsthalfof2024

Increaseby6–10%

Increaseby<5%

Secondhalfof2024

Strategyandcorporatefinance

111247

1735

Supplychainandinventorymanagement

191532

51830

Marketingandsales

82434

71234

Serviceoperations

181431

31329

Softwareengineering

121331

7930

Productorservicedevelopment

121525

4823%

Note:GlobalsurveyconductedbetweenFeb22-Mar6(H12024)andJul16-31(H22024).AquestionwasaskedofthosewhosaidtheirorganizationsregularlyuseGenAIinagivenfunction.

Source:McKinsey&Company

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GENERATIVEA

WEEK

Figure2:GenAIimplementationstatus

7%

8%

Live/pilot

Movingtowardsfullimplementation

Fullyimplemented,

15%43%

Evaluationstage

Notlive(Testingphase)

27%

Note:TheISGGenAIUseCaseStudy,conductedinAugust2024,surveyed2,000companiesglobally

Source:ISG2024MarketLensAIStudy

Figure3:GlobalenterpriseGenAImarketbysegmentsinUS$billions,2025-2030

●Software●Services

2025

2026

7.6

2027

9.9

2028

13.9

2029

19.2

2030

Source:AgileIntel

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l

GENERATIVEA

WEEK

NorthAmericaisexpectedtodominatetheglobalmarket,accountingforapproximately41%ofthe

marketshareby2025.Meanwhile,ptheAsiaPacificisprojectedtobethefastest-growingregion

from2025to2030,withsignificantcontributions

fromChina,Japan,SouthKorea,andIndia,drivenbysubstantialgovernmentinitiatives.OpenAI

dominatesthemarketwithashareof32%,followedbyAnthropic(25%),Meta(15%),Google(13%),andMistralAI(5%).

Figure4:GlobalenterpriseGenAImarketbyregionin%,2025-2030

l

1.8%5.4%

1.6%5.2%

●NorthAmerica

40.6%2025

40.5%

Europe

32.8%

●AsiaPacific

.LatinAmerica●MiddleEast

33.7%2030

Africa

19.4%

19.0%

Source:AgileIntel

Figure5:EnterpriseGenAI:MarketshareofLLMsin2024in%

32%

5%

15%

13%

OpenAI

Anthropic

Meta

Google

5%

3%

3%

4%

Mistral

Cohere

Internalmodel

Others

Note:Meta’sLlama3andMistralareopen-sourceLLMsAgileIntel

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GenAIinCoreIndustries

GENERTIVEA

WEEK

GenAIinFinancialServices

Theglobalfinancialservicesindustrycontinues

tooperateinvolatilemacroeconomicconditionscharacterizedbysuddeninterestratehikesandheightenedtradetensions.WhileEuropeanand

Indianbanksarereapingtherewardsofrising

interestrates,NorthAmericanbanksfaceamixedbagofresultsduetomorepolarizedoutcomes.

Ontheotherhand,justwhenJapanesebankshad

beguntoshowsignsofrecovery,U.S.tarifffears

resultedinthecountry’sbankingindexplungingover20%intheweekendingApril4,2025.

Amidstsuchuncertainty,onlythebanksthatadaptwillthrivewhiletheothersriskbeingleftfurther

behind.OnekeyadaptationstrategyemployedbytheglobalfinancialservicesindustryistheintegrationofGenAI,whichhasbecomeacore

enablerofbankingtransformation.Thetechnologyhasthepotentialtonotonlyenableoperational

transformationandreinventbusinessmodelsbutalsosavecosts,generatehigherrevenues,and

addressriskandcompliancerequirements.

Moreover,astheindustrybecomesmore

digitized,GenAIoffersopportunitiestoautomate

complexprocesses,delivercustomizedcustomer

experiences,andstrengthensecuritymeasures,

therebyallowingthemtocompetewithnimbler

digital-firstcompetitors.Thisisespecially

importantintoday’svolatilemacroeconomic

environment,whichhasplacedsignificantpressureonglobalfinancialorganizationstodeliver

adequatereturnstostakeholders.AccordingtoMcKinseyestimatesGenAIcouldaddbetweenUS$200billiontoUS$340billiontotheglobal

bankingsectorannually.

Figure6:GenAIopportunitybyfunctioninUS$billion:Banking

Finance32

HR5

IT20

Serivceanddataanalytics9

Cyber3

Risk5

Ops&SupplyChain5

Marketing4

Sales11

Other62

070Source:KPMG,February2025

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GENERATIVEA

WEEK

Eventhoughseveralfinancial

servicescompanieshavealreadysuccessfullyimplementedGenAIandstartedrealizingefficiencies,onlyafewhavereportedachievingrevenuegrowthfromtheirGenAI

investments.Therefore,theynowfacepressurefromshareholderstoshowimmediateROIontheir

investments,witha2025studybyKPMGpeggingthisataround70%.

AchievingROI

Eventhoughseveralfinancialservicescompanies

havealreadysuccessfullyimplementedGenAIin

theiroperationsandstartedrealizingefficiencies,

onlyafewhavereportedachievingrevenuegrowth

fromtheirGenAIinvestments.Therefore,theynow

facesignificantpressurefromshareholderstoshowimmediateROIontheirinvestments.However,despitethesepressuresandtheuncertaintiescreated

bytherapidevolutionofAItechnologies,global

financialinstitutionsarepoisedtoincreasetheir

GenAIbudgetsovertheshorttomediumterm.In

fact,accordingtoa2025studybyBCG,oneinthreebanksplantospendoverUS$25milliononramping

uptheirGenAIcapabilitiesin2025.However,there

isasignificantshiftinhowGenAIisbeingdeployed

acrossthebankingindustryasbanksandother

organizationsshiftfrombroadexperimentationtoastrategicenterpriseapproachthatprioritizestargetedapplications,especiallyattheinterfacebetween

institutionsandcustomers.GenAI-poweredtoolsnowsupportautonomouschatagentsthattranscend

predefinedscripts,real-timeloanapprovals,and

automatedprocessingofsubmitteddocumentation.

Interestingly,enterprisesviewthepotentialvalueofGenAIinthefinancialservicesindustrynotonlyasadownstreamapplicationbutasatoolthat

complementsothermachinelearning(ML)modelsandapplications.Therefore,theyareintegrating

GenAInotasstand-alonesilomodelsbutasapartofanetworkofmodelsandtechnologiesincludingroboticprocessautomation(RPA)andautonomousagenticAIsolutions.Here,theinsightsandoutputsfromoneareusedtoinformthefunctionand

directionofanother.

Thisapproachhasalreadystartedtodeliver

resultsintheformof24/7virtualadvisors,

providingcustomizedfinancialguidance,

automatingroutinetransactions,andproactively

managingcustomerneedsbasedonreal-timedataandpredictiveinsights.Additionally,back-office

processes,suchasfrauddetection,compliance

monitoring,andriskassessment,aregetting

streamlinedbyanalyzingvastamountsofdatawithenhancedspeedandprecision.

GenAIinCreativeIndustries

Thecreativeindustryhashistoricallyreliedheavilyonhumanintuition,emotion,andoriginality,

protectingitfromdisruptionbyAIandrelated

technologies.However,GenAIhasopenedup

AmongGenAI’smostpromisingapplicationsinthecreative

industriesistheuseof

conversationalinterfacesto

createnovelcontentortranslateexistingones.Forexample,

thetechnologycanbeusedto

generatevideosorpodcasts

fromarticlesandblogposts,ortogeneratevariationsofascriptorstoryboard,enablingcreatorstoexploreoptionsfaster.

manyopportunities,withthesectornowripeforanimminentdisruptiveimpact.

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GENERATIVEA

WEEK

Thisismainlyduetothetechnology’sabilitytonot

onlyautomaterepetitivetaskssuchasresizing

images,removingbackgrounds,andgenerating

designvariations,butalsoprovideanewpalette

forcreativeindividualstoexperimentwith.This

includesgeneratingpersonalizedcontent,pictures,andvideosthatarevirtuallyindistinguishablefromthosemadebyhumans,enhancingoperational

efficiency,andenablingcompaniestoquicklyadapttoevolvingtrends.

Infact,accordingtoaJune2024articlebyBCG,

GenAIcannowcreatehigh-qualitycontentatnear-zeromarginalcostthatallowscompaniestodeliveronthepromiseofpersonalizationatscale.AnotherstudybytheWorldEconomicForum(WEF)showedthatGenAItoolscansavecreativeprofessionalsupto11hoursperweekontaskssuchasbrainstorming,prototyping,andrefiningcontent.Thesebenefits

empowermorepeople,includingthosewithoutdeeptechnicalorartisticskills,tojointhecreators’board.

AmongGenAI’smostpromisingapplicationsin

thecreativeindustriesistheuseofconversational

interfacestocreatenovelcontentortranslate

existingones.Forexample,thetechnologycanbe

usedtogeneratevideosorpodcastsfromarticles

andblogposts,ortogeneratevariationsofascriptorstoryboard,enablingcreatorstoexploreoptionsfaster.Text-to-videoGenAImodelssuchasOpenAI’sSorahavespurredatectonicshiftintheadvertisingindustry,withbrandsandagenciesinnovatingatarapidpacetoleverageAI-generatedvideocontentintheiradvertising.

LLMs,GenerativeAdversarialNetworks(GANs),

DeepReinforcementLearning(DRL),andMulti-

ModalGenAIarethefourmainGenAItechnologiesthatunderpinmuchofthisdisruption.LLMscan

generatehuman-qualitycontent,suchaspoems

orscripts,muchfasterthanpeoplecan,andalso

translatelanguages.GANsgoastepfurtherby

pittingtwoneuralnetworksagainsteachother,withonecreatingnewcontentandtheotherevaluatingitsauthenticity.Theycanalsoproduceadvanced

imagery,rangingfromphotorealisticlandscapestoabstractcompositions.DRLemploysareward-based,trial-and-errorsystemthroughwhichAI

agentscancreatecontentthatalignswithspecificaestheticpreferencesoruserbehaviorpatterns.

Multi-modalAIworksbylearningpatternsand

theassociationbetweentextdescriptionsand

correspondingimages,videos,oraudiorecordings.

TheimpactofGenAIincreativeindustriesisalreadyvisible.AgoodexampleisAdobeintegratingrelatedcapabilitiesthroughoutitsCreativeCloudsuite,

withtoolslikeGenerativeFillandTexttoImage,

whicharechanginghowdesignerswork.AccordingtoScottBelsky,Adobe’sformerChiefProduct

Officer,thecompanyisaimingtohavealanguageuserinterfaceforallofitsapplicationsoverthe

shorttomediumterm.Anotherisgraphicdesign

softwarecompanyCanva’sMagicStudio,whichhasdemocratizeddesignbymakingsophisticatedAI

toolsaccessibletonon-designers.

In2025,theusecasesthatareexpectedtogaintractioninclude:

'ApplicationssuchasU.S.-basedRunwayAI’stext-to-videotoolandCinelytic’sanalyticsand

predictivefilmintelligenceplatformaredesignedtoplugintoproductionworkflows,enablingstudiosandfilmmakerstostreamlineproductiontasksandmakeinformedbusinessdecisions.

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GENERATIVEA

WEEK

2ToolssuchasPencilAI,whichisbuilton

OpenAIsGPTLLMs,cancreatehigh-quality,low-costadsquickly,withpredictiveanalyticstotestperformance.ChatGPTalsoprovidesanalyticalcapabilities,allowingindustryplayerstocreateaudiencearchetypestotestnewTVprograms.

3Fromapost-productionperspective,AI

applicationsthatprovidedubbingandsubtitling

solutionsareexpectedtowitnessincreasedusage.PlatformslikeSpeechify,ElevenLabs,andPanjaya.aisimplifyandexpeditetheprocessofdubbing

audioandcreatingclosedcaptioning.Thisenablesdistributioncompaniestogenerateincremental

revenuesinareaswherelocalizationcostshavehistoricallybeenexpensive.

4GenAI-basedmusicgenerationtoolssuch

asMuseNet,MagentaStudio,andMusicfythatcan

assistincomposingmusicbylearningcomplex

musicalpatterns,predictingthenextwordor

musicnoteinasequence,andmixingspecifiedinstruments.Theycanalsochangeonetypeof

soundintoanother,suchasfromwhistlingto

theviolinorfromtheflutetothesaxophone.Thiscapabilityisbeneficialforartistswhomaynotbeproficientinplayingalltheinstrumentstheywishtoincorporate,savingbothtimeandcosts.This

spacehasadvancedrapidlyduetounsupervisedlearningonlargedatasetsandtheuseof

transformers.

5ImagegenerationtoolssuchasStableDiffusion,Midjourney,DALL·E,andIdeogram,basedondiffusionmodels(DMs),arefastgainingtraction.Theseopen-sourcetoolsaredevelopedwiththeMultimodal

DiffusionTransformer(MM-DiT)architecture,whichisbeneficialforbothtextandimage.

Table2:GenAIusecasesacrossthecreativeindustriesvaluechain

CommercialAdoption

Pre-production

Production

Post-production

CommercialStrategy

Business

Operations

Low

Concept

developmentf