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文檔簡(jiǎn)介
JULY2024
INSIDETHE
SEMICONDUCTORINDUSTRY
KeyTrendsandExpertInsights
Byasubject-matterexpertandGLGNetworkMember
TableofContents
EXECUTIVESUMMARY
1
ABOUTTHERESEARCH
2
SURVEYINSIGHTS
3
CONCLUSION
12
EXECUTIVESUMMARY
Theincreasingperformancerequirementsofhyperscaledatacenters,risingdemandforsupportofAIworkloadsonarangeofdevices,andacceleratinginterestinprocessingattheedgearedrivingnewopportunitiesandincreasingchallengesforthesemiconductorindustry.Thissurveyofsemiconductorleadersrevealstrendsthatwillpowerfuture
demandforsemiconductordesignandfabricationaswellasmakenewcapabilities
availabletothedeviceandequipmentmanufacturersthataretheprimaryconsumersofsemiconductors.
Findingsfromthesurveypointtoafutureofgreaterspecializationofthesemiconductorindustry,aspurpose-builtchipsareincreasinglydeployedtooptimizeperformanceforhighlyspecificworkloadsandindustryapplications.Softwareecosystemsareexpectedtoplayanevenmoreimportantroleinsimplifyingthedeveloperexperienceacrossan
increasinglyfragmentedhardwarelandscape.
Whilethesemiconductorsupplychainhasrecoveredsubstantiallysincethepandemic,changingglobalconditions,greateremphasisonsustainability,andincreasingdomesticinvestmentinmanufacturingcapacitycontinuetoimpactthestrategicchoicesavailabletosemiconductorcompanies.Facinglongproductcyclesandhighcostsofnew
productdevelopment,firmsinthisspacewillwanttocarefullyassessthesetrendsandconducttheirownfollow-onresearchtoconfidentlyidentifythemostpromisingmarketopportunities.
Thesurveyrevealedthat:
74%
ofrespondentsbelieve
thatacceleratingAIat
theedgeisoneofthetop
threegrowthmarketsfor
semiconductors
65%
ofrespondentsexpect
thatAI-specificchips
willovertakeGPUs
asacceleratorsofAI
workloadswithinfourto
sevenyears
90%
ofrespondentsviewan
open-sourcesoftware
ecosystemasimportant
tothemarketopportunity
forasemiconductor
productline
SemiconductorIndustry?1
ABOUTTHERESEARCH
FromMay23-June3,2024,GLGconductedanonlinesurveyof101seniorleadersintheUnitedStatesandCanadawithinfluenceoversales,go-to-marketplanning,orstrategyforasemiconductorfirmorequipmentmanufacturertocapturetheir
perspectivesonkeyareasofopportunityandconcern.
Thestudyrevealedthatmostrespondents:
?ViewAIasasignificantdriverofsemiconductoropportunity
?Expectincreasingspecializationandverticalizationofsemiconductorsasdemandforoptimizationaroundspecificworkloadsandusagescenariosincreases
?Believethatdomesticinvestmentsinsemiconductorcapacityhavehadapositiveimpactonthecompetitivenessandinnovationofsemiconductorfirms
Thefiguresbelowindicaterespondents’rolesandthedistributionoftheircompaniesbyannualrevenueandindustry.
PrimaryIndustry
Equipmentmanufacturer
Fablesssemiconductormanufacturer
Integrateddevicemanufacturer(IDM)
Semiconductorfabrication plant(foundry)Industrialautomation
company Outsourcedsemiconductorassemblyandtestprovider(OSAT)
43%
21%19%
7%5%I4%I2%
34%30%
17%12%
7%
1%
JobFunction
Executive/GeneralManagement
Sales
R&D/Engineering/ProductDevelopment SupplyChain/DemandManagement
Manufacturing
Design/Engineering
InformationTechnology
CompanySize
Fewerthan500
501-2,500
2,501-5,000
5,001-10,000
10,001-50,000
Morethan50,000
15%
30%
12%21%19% 4%
Revenue
$1B+
$101M-$1B
$50M-$100M
53%
36%
11%
SemiconductorIndustry?2
SURVEYINSIGHTS
90%
ofrespondentsrankAI
workloadsasatopgrowth
areafortheindustry
AIworkloadswilldrivedemand.
RespondentsexpectAIworkloadstobeanincreasinglyimportantsourceofdemandforsemiconductors,with90%ofrespondents
rankingAIworkloadsasoneoftheindustry’stopgrowthareas.Respondentsalsoindicatethat
thoseworkloadsarelikelytorunbothwithindata
centersandattheedge,sofirmsplanningtopursueAIopportunitiesshouldconsider
investinginproductlinesthataddressboththehigh-performanceandscaledemandsofdatacentersandthelowpowerconsumptionrequiredforedgedevices.Amajority
ofrespondentsalsoindicatedthatindustry-specificchips,suchasthoseusedincontrolsystemsintheindustrialorautomotiveindustriesorindevicesinthelifesciencesand
healthcaresectors,willbeanimportantdriverofsemiconductormarketgrowth.
TakingamoredetailedlookatthenatureofAIworkloadsthatneedtobesupported,72%ofrespondentsidentifieddataprocessingandmovementinsupportofAIworkloadsas
oneofthetopthreeindustryopportunities,and65%ofrespondentssimilarlyhighlighted
inferencingusedtosupportlargelanguagemodels(LLMs).Amajority(52%)alsoidentifiedvideoprocessingandmediaencodingasakeyopportunity.
ExpectedGrowthMarketofSemiconductorCompanies
%AmongTotalRespondents,SortedDescendingbyTotalRanked
Rank1–Highest-GrowthMarket
Rank2
Rank3
Rank4
Rank5
DedicatedchipsforacceleratingAIworkloadsindatacenters
DedicatedchipsforacceleratingAIworkloadsontheedge
Optimizedchipsforhigh-performancecomputing
Industry-specificchips(e.g.,automotiveorhealthcareindustries)
Optimizedchipsforhigh-speednetworking
SensorsandotherdedicatedchipsforsupportofInternetofThings(IoT)applications
Generalizedprocessorsorgeneral-purposechips(e.g.,CPUs)
Dedicatedchipsforsecuritytasks(e.g.,encryption)
Dedicatedchipsforperformingcalculationsrelatedtoblockchains
39%23%9%15%5%
25%32%17%10%7%
15%12%20%15%12%
8%8%12%14%12%
4%11%11%9%14%
4%5%10%13%16%
4%12%13%11%
2%
3%7%9%15%
1%
5%9%
1%3%3%
TotalRanked
90%
90%
73%
53%
49%
48%
42%
35%
21%
SemiconductorIndustry?3
OpportunityforChipsforAcceleratingAIWorkloads
%AmongTotalRespondents,SortedDescendingbyTotalRanked
Rank1-HighestOpportunity
Rank2
Rank3
Rank4
Rank5
Dataprocessingormovement
Inferencingforlanguageprocessing/LLMs
Imageclassification
Videoprocessing/Mediaencoding
Networktrafficmanagementorcoordination
Training
26%22%24%14%10%
40%16%9%16%14%
9%19%20%25%19%
8%19%25%23%16%
7%13%15%20%17%
11%12%8%24%
3%
TotalRanked
96%
95%
92%
91%
72%
58%
GPUgiveswaytoAI-specificchips.
Whenaskedtoprojecthowdemandfordifferenttypesofchipswouldevolveover
time,respondentsindicatedthatwhileGPUswillbetheprimarymeansofaccelerating
AIworkloadsinthenearterm,withinfourtosevenyearsthatrolewouldlikelyshiftto
AI-specificchipssuchasNPUs.Sixty-fivepercentofrespondentsindicatedthatthese
AI-specificchipswouldberunningthemajorityofAIworkloadsinthattimeframe,whileonly18%ofrespondentsbelievedthatGPUswouldretaintheircurrentsignificance.It
isprojectedthatavarietyofAI-specificchipswillbecomeavailabletomeetarangeofrequirementsfordifferentoperatingenvironments,suchaslow-powerAIacceleratorsformobiledevicesandhighlyperformantchipsoptimizedtorunlargelanguagemodelsasaserviceinthecloud.
AnticipatedChipUseinFuture
%AmongTotalRespondents
Nearfuture(1-3years)Mediumterm(4-7years)Longterm(morethan8years)
4%6%9%
CPUs
21%
7%8%
ASICs
63%
18%
6%
GPUs
2%1%2%
FPGAs
65%
61%
23%
AI-specificchips
1%2%1%
Other
SemiconductorIndustry?4
63%
ofrespondentsbelievethat
semiconductorsembedded
indevices,vehicles,and
industrialequipment
willdrivethemajorityof
semiconductoropportunity
withinfourtosevenyears
Fromdatacenterstodevices.
Respondentstothesurveyalsoexpectashiftovertimeinwhichoperatingenvironments
consumethemostsemiconductors.While
56%ofrespondentsbelievethatdatacenters,boththosethatsupportpubliccloudsand
thosemanagedon-premiseorinsupportof
privateclouds,aretheprimarysemiconductoropportunityoverthenextthreeyears,inthe
four-to-seven-yearhorizontheserespondentsexpectthatsituationtoshift,with63%of
respondentsanticipatingthatsemiconductorsembeddedinmobiledevices,vehicles,andindustrialequipmentwilldrivethemajorityofindustryopportunity.
DevicesorPlatformsAnticipatedtoDriveDemandforChipsinFuture
%AmongTotalRespondents
Nearfuture(1-3years)Mediumterm(4-7years)Longterm(morethan8years)
21%17%15%
Mobiledevices
34%
17%18%
Publicclouds/
Hyperscale
environments
22%
14%
6%
On-premisedata
centers/Privateclouds
26%
17%
11%
Industrialequipment
24%22%
11%
Vehicles
10%10%
2%
Medical/Scientificdevices
SemiconductorIndustry?5
Verticalizationiskeytogrowth.
JustasAIworkloadsareexpectedtobesupportedwithincreasinglyspecializedand
purpose-builtchips,respondentsindicatedthatthedemandsofspecificindustrieswillpushsemiconductormanufacturerstofindpurpose-built,verticalizedsolutionsfortheirneeds.Respondentssuggestthatthelargestbusinessopportunitiesforsemiconductormanufacturersarelikelytocomefromaddressingtheuniqueneedsoftheautomotive,telecommunications,andhealthcare/lifesciencessegments,with69%placingthe
automotiveindustryintheirtopthreeopportunities,51%indicatingtelecommunications,
and48%indicatinghealthcareandlifesciences.Allthreeindustriessharedemandfor
chipsthatcansupportlocalprocessingwithlimitedtoleranceforlatencyandconstraints
aroundpowerconsumption,suggestingthatrawperformancemaybecomelessimportantovertimethantheabilitytoprocesseventsinrealtimeacrossdistributeddevices.
IndustriesExpectedtoDriveOpportunity
%AmongTotalRespondents,SortedDescendingbyTotalRanked
Rank1-Mostlikely
Rank2
Rank3
Rank4
Rank5
Automotive
Healthcareandlifesciences
Telecommunications
Industrialmanufacturing
11%
Mediaandentertainment
Energyandutilities
Financialservices
Retail
Resourceindustries(agriculture,mining,andforestry)
28%24%17%10%12%
12%20%16%22%18%
23%12%16%13%9%
10%12%19%16%14%
19%11%10%9%9%
13%
11%
18%
2%
4%8%6%9%19%
2%3%2%
4%5%
1%1%
TotalRanked
91%
88%
73%
71%
58%
55%
46%
11%
11%
SemiconductorIndustry?6
Softwaremakeshardwaremorevaluable.
Increasingspecializationofhardwareplatformstosupportspecificworkloadprofiles
andindustryapplicationswillmakeitmoredifficultfordeveloperstooptimizetheir
softwareforeachparticularchip.Byinvestingintheopen-sourcesoftwareecosystem,
semiconductormanufacturerscanmakeiteasierfordeveloperstoshareoptimizations
andbuildmoregeneralizedframeworksthatenableapplicationstomakethebestuseofspecifichardwareconfigurations.Ninetypercentofrespondentstothesurveyindicatedthatthehealthoftheopen-sourcesoftwareecosystemaroundaparticularchipwas
importanttothemarketopportunityforthatchip.Inparticular,respondentsbelieved
thatopen-sourcesoftwaremadeiteasierfordeveloperstoobtainperformancebenefits,improveinteroperability,increaseenergyefficiency,andmaintainsecuritywhenworkingwithaparticularchip.
BenefitsofThrivingSoftwareEcosystem
Somewhatimportant
%AmongTotalRespondents,SortedDescending
Performanceoptimization
Interoperability/Compatibility
Energyefficiency/Heatreduction
Firmwareandsecurityupdates
Designandsimulation
Customization
67%
51%
50%
49%
39%26%
ImportanceofOpen-SourceSoftwareEcosystem
%AmongTotalRespondents
Veryimportant
Notveryimportant
45%
45%
11%
As-a-servicemodelsexpandopportunity.
Whilepurpose-builtchipswillenableoptimizationofworkloadsforthebest
combinationofperformance,cost,andpowerconsumption,theproliferationof
hardwareoptionswillincreasethecomplexityofmanagingthoseworkloadsand
maintainingenvironmentstosupportthem.Aswiththeshifttocloudforgeneralized
computeandstorageworkloads,companieswilllooktoas-a-servicemodelstomanageincreasinglymorespecializedworkloadsontheirbehalf,andmorespecificallytheywilllooktoprovidersthatofferdedicatedhardwareoptimizedfortheirparticularneeds,
ratherthandependingongeneral-purposecloudenvironments.Respondentstothesurveybelievethatinthenearterm(withinthreeyears),amajorityofcompanieswillshifttorunningkeyworkloadsindedicatedas-a-serviceenvironments;forexample,65%ofrespondentsbelievethatasignificantportionofAItrainingandinferencing
SemiconductorIndustry?7
workloadswillberunindedicatedGPU-as-a-serviceenvironmentswithinthree
years.Thesenewdedicatedmanagedserviceenvironmentswillbecomeincreasinglyimportantcustomersforsemiconductormanufacturers,drivingdemandandscaleforspecifictypesofworkload-orapplication-specificchips.
AnticipatedCustomersShiftingbyAlternativetoPublicCloudComputingApproach
%AmongTotalRespondents,SortedAscendingby‘Customerswillneveruse’
Mostofourcustomersarealreadyusingas-a-servicecomputationNearfuture(1-3years)Mediumterm(4-7years)
Longterm(morethan8years)Customerswillneveruseas-a-servicecomputation
GPU-as-a-serviceforAItraining/Inferencing
Managingedge/IoTcomputingendpoints
Imageprocessingorclassification
Industry-specificapplications
Networkmanagement/Optimization
CPU-as-a-serviceforhigh-performancecomputing
Videoprocessing/Encoding
Securitytasks(e.g.,encryption)
Blockchaintransactions
9%
25%
17%
48%
2%
18%45%22%12%4%
22%43%23%8%5%
19%31%33%12%6%
24%44%22%4%7%
18%34%28%13%8%
23%39%26%5%8%
34%33%15%7%12%
16%22%32%17%14%
Sustainabilityactionsspeaklouderthanwords.
Asmarketdemandforsustainablecomputingincreases,andmorepressureisputonthe
industrytomanagewasteandreducepowerandwaterconsumption,semiconductormanufacturersmusttakeactiontoimprovetheirsustainability;90%ofrespondentstothesurveyindicatedthatitwasimportantformanufacturerstoimprovetheir
ownsustainability,and86%suggestedthatthisresponsibilityextendstohelpingendcustomersbecomemoresustainableaswell.Theincreasedawarenessaroundsustainabilityalsomeansthatmanufacturersmustmakethemarketawareoftheir
investmentsinsustainability.Whenaskedtoidentifyonekeystrategyforengagingthemarketaroundsustainabilityissues,thelargestportionofrespondents(39%)suggestedthatsemiconductormanufacturerswerebestservedbydevelopingtheirownreputation
SemiconductorIndustry?8
forsustainablepracticesratherthanmarketingsustainabilitydirectlytocustomers.
Bytakingactionstomanagetheirownenvironmentalfootprintsandscrutinizingtheir
supplychains,firmscanmodelsustainablepracticesandbuildpositiveperceptioninthemarketplacethatcantranslateintogreaterdemandfortheirproducts.
ImportanceofCompaniesImprovingSustainability
%AmongTotalRespondents
Veryimportant
Somewhatimportant
Notvery
important
Notatallimportant
Importancethatcompaniesimprovetheirownsustainabilitybyreducingwaste/energyconsumption
Importancethatcompanieshelpcustomersbemoresustainable
8%
38%
52%
2%
41%45%11%4%
PreferredPrimaryStrategyofCompaniestoCommunicateValueofSustainabilitytoEndCustomers
%AmongTotalRespondents,SortedDescending
Buildthesemiconductormanufacturer’sownreputationforsustainabilityratherthantryingtomarketsustainabilitydirectlytoendcustomers
Emphasizecostsavingsfromusingmoreefficientproducts
Emphasizethepositiveimpactsusingsustainableproductscanhavetoacustomer’sreputation
Emphasizethereductionofharmandpotentialriskassociatedwithusinglesssustainableproducts
Semiconductorsshouldnotmarketorpromotesustainability
26%20%11%
5%
39%
Domesticinvestmentsinsupplychaincapacityareexpectedtohaveapositiveimpact.
Whenaskedtoidentifythemosturgentriskstothesemiconductorindustry,59%of
respondents(largelyU.S.-based)identifieddependenceonnon-U.S.-basedfabricationasakeyconcern,acknowledgingboththehighconcentrationofOSAT(outsourced
semiconductorassemblyandtest)providersinAsiaandthepotentialforgeopoliticaltensionsorseismicactivitytodisruptfoundryoperationsinTaiwan,while46%
SemiconductorIndustry?9
highlightedthelackofrelevantskillsinthelaborforce.Seventy-threepercentof
respondentssaidtheyexpectedtheUSCHIPSActtoimpactthehealthofthedomesticsemiconductorindustry,with53%ofthoserespondentsindicatingtheactwould
improvecompetitivenesswithnon-U.S.-basedfirms,51%suggestingthatitwould
helpaccelerateinnovationanddevelopmentofnewtechnologies,and35%expecting
thatitwouldincreasetheavailabilityofskilledlabor.Whenconsideringthestateof
thesemiconductorsupplychain,58%ofrespondentsindicatedthattheyweremore
confidentabouttheirabilitytoobtainrawmaterialssincethebeginningofthepandemic,but79%indicatedthattheystillhadconcernsaboutavailabilityofthesematerialsoverthenextthreeyears.
MostUrgentSemiconductorIndustryProblems
%AmongTotalRespondents
Sustainability
19%
Energyconsumption
7%
Pollution/Wastemanagement
35%
36%
59%
SupplyChainDependenceonrareearthelements
andotherdifficult-to-obtainmaterials
Industrydependenceonasmallnumberofkeyplayers
Industrydependenceonnon-U.S.-basedfabrication
Security
31%
Cybersecurity/Industrialespionage
34%
Supplychainsecurity
46%
Capacity
Lackofskillsinlaborforce
30%
LackofR&Dinvestment/Fundamentalresearch
Other(5%)
?Packing
?Actualmachinesthatmakethesemiconductor.Chinahasinvestedhardintheglobalsupply
?Laborcosts
?AllOSATsinAsia
?Politicaldecisions,suchastariffs,impactingsupplychainsandavailability
SemiconductorIndustry?10
ExpectedImpactofCHIPSActonSemiconductorIndustry
%AmongTotalRespondents
Agreatdeal
Some
AlittleNone
34%
39%
24%
4%
ConcernwithRawMaterial
AvailabilityinNextThreeYears
%AmongTotalRespondents
Veryconcerned
Somewhatconcerned
NotveryconcernedNotatallconcerned
16%
63%
19%
2%
ContributionofCHIPSActonHealthofSemiconductorIndustry
%AmongRespondentsConcernedwithAvailability,SortedDescending
53%
Improvecompetitiveness
51%
Accelerateinnovation/Developmentofnewtechnologies
42%
Improveefficiencyofsupplychain
40%
Createmarketopportunitiesforsmallerfirms
35%
Increaseava
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