麦肯锡 -将人形机器人供应链的制约转化为数十亿美元的机遇 Turning humanoid supply chain constraints into billion-dollar wins

McKinsey

&Company

IndustrialsPractice

Turninghumanoid

supplychainconstraints

intobillion-dollarwins

Theroboticssupplychainisthemostunderappreciatedconstraintonhumanoidscale.Butforcompaniesthatmovenow,itisthemostsignificantopportunityinageneration.

ThisarticleisacollaborativeeffortbyAniKelkar,ChristianJansen,ErikSparre,MarkPatel,andMikaelRobertson,withAlexanderRauchandRobertHess,representingviewsfromMcKinsey'sIndustrialsPractice.

April2026

Humanoidrobotsareapproachinganinflectionpoint,withadvancesinAl,hardware,and

investmentacceleratingtheirpathfromprototypestoreal-worlddeployment.Venturecapitalfundingforroboticssurgedmorethanthreefoldbetween2023and2025,whenitreached

$40.7billionannually.!GovernmentshavedeclaredembodiedAlastrategicpriority,withChinaalonecommittinga$138billionstateventurecapitalguidancefundtoAlandrobotics,among

otherhigh-techsectors?Bothstart-upsandestablishedOEMsacrossAsia,Europe,andtheUnitedStatesarenowscalingpilotsinmanufacturing,logistics,andindustrialenvironmentswhiletrainingfoundationmodelsonreal-worldinteractiondata.

Thestrategicquestionisnolongerwhetherhumanoidrobotswillworkbutwhethertheycan

scaleeconomically-andatwhatcost,speed,andreliability.In"Humanoidrobots:Crossingthechasmfromconcepttocommercialreality,"weidentifyfourbridgestocommercialviability:

radicalcostreduction,greaterdexterityandmobility,sustaineduptime,andsafetyforfencelessoperation.Allfour-costreductionmostdirectly-dependonafactorthatreceiveslessattentionthanAlcapabilities:thematurityandscaleoftheunderlyingcomponentsupplychain.

Formanyofthemostcriticalandcostlyhumanoidcomponents,thesupplierecosystemisstillat

theearlystageforlarge-scaleproduction,creatingasignificantopportunityforscalebuild-out.Butasdemandforhumanoidhardwarerisesoverthenextfewyears,bothsuppliersandOEMswillhaveagreaterincentivetoincreaseinvestments.Howthesupplychainmatureswillshapethepaceandeconomicsofhumanoiddeploymentoverthenextdecade:wherebottlenecks

andopportunitiesexist,howsourcingstrategiesevolve,andwhichplayerswillbuildtheplatformstheindustryneeds.

Formanyofthemostcritical

andcostlyhumanoidcomponents,thesupplierecosystemisstillat

theearlystageforlarge-scale

production,creatingasignificantopportunityforscalebuild-out.

1"Stateofventure2025,"CBlnsights,January8,2026.

2"Chinaannounceshigh-techfundtogrowAl,emergingindustries,"CNNNewsource,March6,2025.

Turninghumanoidsupplychainconstraintsintobillion-dollarwins2

Theanatomyofahumanoidrobot'sbillofmaterials

Thecorehardwarestackofahumanoidspansfivedomains:actuators(40to60percentof

thebillofmaterials,orBOM),sensingandperceptionsystems(10to20percent),computeandcontrolplatforms(10to15percent),structuralcomponents(5to10percent),andbattery

modules(5to10percent).Together,thefivedomainsrepresent85to90percentoftotalunitcosts,withtheremaindercomingfromotherareas,suchascoolingsystemsandwiring

harnesses(Exhibit1).Theimpactofeachdomainonhumanoidperformancealsovaries.

Notethatthe“handsandmanipulation”categoryinthechartincludesonlycomponentsthatareprocuredseparatelyfromallotherhumanoidelements.Typically,handsareincludedinthe

sensorandactuationcategory.Weshowhandsandmanipulationhereasaseparatecategory

Exhibit1

Fivehardwaredomainsareprimarilyresponsibleforhumanoidcostsandperformancedifferentiation.

Componentcostbylevelofcomponentdifferentiation

HIGH

Componentshareoftotalbillofmaterials

(BOM)

LOW

Compute

andcontrol

platformStructural

components¹

Actuators³

Sensingand

perception

systems²

Batterymodule

Wiringand

cablesCooling

systems

Handsand

manipulation⁴

→HIGH

Abilitytodifferentiatehumanoidviacomponent

Note:BOMimpactofsafetysystemisaccountedforacrossvariouscomponents,eg,safety-certifiedactuatorsandaditionalsensors/perceptionsystems

BOMimpactdependsonmateralleg,compositevsloy)andproductionmethod(eg,diecastingvsforging);alsoincludesplasticcoverages.

2Costdifferssignificantlydependingoncomponentqualityandcomponentintegrationlevel.

³Structural/primaryactuators.

Onlyifprocuredseparately;otherwise,handsandmanipulationarepartofactuatorsandsensors.

McKinsey&Company

Turninghumanoidsupplychainconstraintsintobillion-dollarwins3

Turninghumanoidsupplychainconstraintsintobillion-dollarwins4

Whyhandsarecritical

Despiterapidprogressinmobilityandperception,

humanoidhandsremainoneofthemostchallengingele-ments.Whilelocomotioncanbeadaptedtostructured

environments,mosteconomicallyrelevanttasksfor

hands,suchaspicking,sorting,ortooluse,requirereliablemanipulationofdiverse,unstructuredobjects.

Humanhandscombinemorethan20degreesoffreedomwithhighlysensitivetactilefeedback.Replicatingthisoftenrequiresdozensofminiaturizedactuators-forexample,Tesla'sOptimusintegratesmorethan50actuatorsinitshandsalone,comparedwithroughly25to30across

therestofthebody-alongsidehigh-resolutionforceandtactilesensingandlow-latencycontrol,eventhough

spaceandpowerareseverelyconstrained.

Fromasupplychainperspective,handssitattheintersec-tionofmultiplehigh-riskcomponentcategories.They

dependoncompactactuationandrobotics-gradesensing,bothofwhichstilllackstandardizedarchitecturesand

fullyscaledsupplierecosystems.Thisisparticularlytruefortactilesensing,wherenodominantdesignhasyet

emerged.Asaresult,manydevelopersrelyonverticallyintegratedorhighlycustomizeddesigns.

Ratherthanaseparatecostcategory,handsillustrate

howbottlenecksemergewhereperformancerequirements,supplierimmaturity,andlackofstandardizationoverlap.

Thesefactorsmakethemapotentialgatingfactorbutalsoakeyopportunityareawhenscalinghumanoiddeployment.

todemonstratetheimportanceofthissubsystemasastand-aloneentity(seesidebar"Whyhandsarecritical").

Whatmakesthesupplychainpicturedistinctiveisthemismatchbetweenwherevalueconcentratesandwherethesupplierecosystemisreadyforhigh-volumeproduction.Actuators,byfarthelargest

costdriverandprimaryperformancedifferentiator,dependononeoftheleastdevelopedsupplier

ecosystems.Sensing,particularlyforceandtactile,facessimilarexposure.Bycontrast,computeandbatterycomponentsbenefitfromdeepadjacencytotheelectricvehicle(EV),semiconductor,and

consumerelectronicsindustries,whereproductioninfrastructurealreadyoperatesatscale.

Manyhigh-impacthumanoidcomponents,includingmotors,actuatorpowerelectronics,permanent

magnets,andprecisionbearings,overlapstructurallywiththeEVvaluechain.Thisadjacencymatters

becauseitdirectlyinfluenceshowquicklycostcurvescancompressashumanoidvolumesincrease.

SubsystemswithstrongEVspilloverbenefitfrom

existingtooling,supplierdepth,andprocess

maturity.Componentswithoutsuchadjacency,

particularlyrobotics-gradeforceandtactile

sensing,lackequivalentscaleanchorsandaremorelikelytofacestructuralsupplyconstraints.

China,withitsstrongEVecosystem,particularly

benefitsfromthestructuraloverlapandholdsa

significantshareofcapacityforseveralcomponentsusedinhumanoids(Exhibit2).FormoreinformationonChina'secosystemadvantage,seesidebar

"China'sdistinctivesupplychainmodel"onpage7.

Yetevenwheretheunderlyingtechnologyiswellestablishedinotherindustries,thehumanoidsupplierecosystemisnotreadyforlarge-scaleproduction.Atpresent,suppliershavelittle

incentivetoincreaseproductionofhumanoid-specificcomponentsbecausedemandistoolowtojustifystandardized,high-throughputmanufacturing.Thissituationreinforcesascaling

dilemma:Lowvolumespreventsuppliersfrominvestingindedicatedproductionlines,yet

withoutcostreductions,enduserdemandremainsconstrained.ThetypicalhumanoidBOMcurrentlyrangesfromroughly$30,000to$150,000perunit.Costsunder$20,000are

widelycitedasthelong-termtarget,implyingthatsignificantcostcompressionisstillrequiredtounlockmass-marketdemand.

Turninghumanoidsupplychainconstraintsintobillion-dollarwins5

Exhibit2

ROTARYACTUATOREXAMPLE(selectcomponents)

Chinahasasignificantshareofcapacityforroboticscomponents.Shareofcapacityforroboticscomponent,byregion,%

30

15

20

35

Driverboard/

powerelectronics

Precisionbearing

40

25

20

15

40

30

15

15

Encoder/

positionsensor

90

Permanentmagnets(withinmotors)

Sensingand

perception

Compute

andcontrol

platforms

Actuators(rotary)

Batterymodules

Actuators(linear)

Structural

components

Note:Marketshareestimatesaredirectionalandtriangulatedacrossmultiplethird-partyindustrysourcesforallcomponents.

Sources:McKinseyBatteryInsights;McKinseyCenterforFutureMobility;McKinseyGlobalEnergyInsights

McKinsey&Company

Inthispremodularphase,mostOEMsareforcedintooneoftwopathstoobtaincomponents:

verticalintegrationorclosecodevelopmentwithalimitednumberofpartnersinwhichtheypiecetogetheradjacentindustrialcomponentsandredesignthemforhumanoidrequirements.

Bothpathsacceleratedevelopment,butneitherautomaticallytranslatesintocost-efficientscale.VerticalintegrationconcentratesallmanufacturingoverheadonasingleOEM,whileadhoc

codevelopmentrequirescostlyredesignthatmustberepeatedforeachplatform.

Mappingsupplyrisksandopportunitiesacrossthehardwarestack

Ashumanoiddeploymentsscaletoward2035,supplyconstraintsandopportunitieswillnot

appearuniformlyacrossthehardwarestack.Instead,bottleneckswillconcentrateinsubsystemswherehigh-performancerequirements,supplierconcentration,andlimitedstandardization

intersectandreinforceoneanother.

UnderstandingwhereconstraintsclusterandwherethesupplierbaseisalreadyequippedforscaleisessentialforOEMsmanagingsourcingrisk,suppliersprioritizinginvestment,and

endusersassessingdeploymenttimelines.AMcKinseyanalysisofthecurrentsupplychainsuggeststhatbottlenecksarelikelywithseveralcriticalhumanoidcomponents(Exhibit3).Overall,componentscanbecategorizedashavingalow,medium,orhighriskofbottlenecks.

Exhibit3

Turninghumanoidsupplychainconstraintsintobillion-dollarwins6

Supplychainbottlenecksaremostlikelytoemergearoundactuatorsandsensingandperceptionsystems.

Riskofbottlenecks

forhumanoidroboticssystemscomponents

LowScaledsupplyalreadyexistsinadjacentindustries;someadap-

tationsrequiredforhumanoiduse

MediumScaledsupplyalreadyexistsinadjacentindustries;moreextensiveadaptationsrequiredforhumanoiduse

HighStructuralconstraintswillemerge

Computeandcontrolplatforms¹:

■Alcompute/GPUmodules

■Real-timecontrolplatforms

■Safetycontrols

Sensingandperceptionsystems:

■Visionsystems(LiDAR/depth)

■Encoders(rotaryandlinear)■6-axisforce/torquesensors

■Linearforcesensors

■Tactilesensors

Batterymodules:

Actuators(rotay):

■Driverboard/powerelectronics

■Motor(brushlessdirectcurrentmotorandpermanentmagnetsynchronousmotor-neodymi-um-iron-boron[NdFeB])

■Bearings(cross-roller)

■Encoder

■NdFeBmagnets(nmotors)Gearbox

■Planetarygearboxes

■Cycloidaldrives

■Batterypacks

■Thermal/coolingsystems

Actuators(linear):

■Ballscrews

■Linearactuatorintegration

■Linearguides

■Planetaryrollerscrews

Structuralcomponents:

■Framesandhousing

■Precisionmechanicalparts

■Harmonic/strain-wavedrives

■Commoditymechanical

System-levelbottleneck(integrationandsafety),notcomponentcapacity.

McKinsey&Company

Lowrisk:Scaledsupplybutminoradaptationsrequired

BrushlessDC(BLDC)andpermanentmagnetsynchronousmotors(PMSM)areproducedat

scaleforEVs,industrialautomation,andconsumerelectronics.Powerelectronics,standard

bearings,cameramodules,andLiDAR/radarsystemshavesimilarlylargeanddiversified

supplierbases.BatterycellsaresuppliedbygloballeaderssuchasCATL,LGEnergySolution,

Panasonic,andSamsungSDI.EV-drivenscalehascompressedbothcostanddevelopment

timelinesforthesesuppliers.Whilethesecomponentsareproducedatscaleinadjacentindustries,theymustbeintegratedandcertifiedforhumanoidapplications.Theseadjustmentsarenot

trivial,butthereisasignificantopportunityforsupplierstoscalethesecomponents,supportedbystrongexistingindustrialcapacity.

China'sdistinctivesupplychainmodel

China'shumanoidroboticssupplychainoperatesunderconditionsthatarestruc-turallydifferentfromthoseoftherestoftheworld.Thesedifferencesaresystemic

ratherthanmarginal,shapingnotonlyhowquicklyhardwarecanscale,butalso

theunderlyingcosttrajectoryandthecountry'scompetitivepositioning

amongregionalecosystems.

Manufacturingecosystemdepth

China'shumanoidhardwarestackbenefitsfromdeepadjacencytoitselectric-vehicle(EV)andbroaderelectromechanicalmanu-facturingbase.Manyofthemostcost-andperformance-criticalsubsystems,includingmotors,harmonicdrives,powerelectron-ics,batterysystems,andsensors,sitclosetoEVvaluechains,enablingsupplierreuse,processtransfer,andfasterscale-up.

Inadditiontoaccountingfor90percentofpermanentmagnetprocessingglobally,

Chinaholdsstrongsharesinprecision

bearings(40percent),motors(35percent),andpowerelectronics(30percent).

Attheindustrial-robotlevel,Chinarecorded295,000newinstallationsin2024and

reachedanoperationalstockofapproxi-mately2.03millionrobotsinfactories-

bothworldrecords-representingroughly54percentofglobaldeploymentsthat

year.!China'sextensiveelectromechanicalsupplierbaseenablesscalingofhumanoidcomponentsthroughreuseofexisting

industrialproductsandmanufacturing

capabilities.Incontrast,USandEuropeanecosystemsarelesstightlycoupledto

high-volumedomesticelectromechanicalmanufacturing.Theyretainstrengths

inadvancedsystemdesignandprecisionengineering,butsupplychainspillover

fromadjacenthigh-volumesectorsisstructurallyweaker.

Costandspeed

China'smanufacturingbaseprovides

structuralcostadvantagesacrossactuator-intensiveandelectromechanicalcatego-

ries,drivenbyscaleeconomies,componentclustering,suppliercompetition,and

reuseofmatureEV-gradeecosystems.

Thesearenotprimarilylabor-driven

advantages.ArecentanalysisfoundthatbuildingTesla'sOptimusGen2without

Chinesesupplierswouldcostapproxi-

matelythreetimesasmuch,withthebill

ofmaterialssurgingfromroughly$46,000to$131,000?

China'scostadvantageshowsupin

marketpricing:Unitree,aChinesecompany,publiclylistsitsG1robotstartingat

approximately$13,500³;costsforTesla's

Optimusareexpectedtodeclinetoroughly$20,000to$30,000atscale,dependingonconfigurationandvolumeassumptions.Densesupplierecosystemsandlower

regulatorygatingalsoenablefasterhard-wareiteration.China'sroboticsecosystemisgeographicallyconcentratedin

denseindustrialclusters(Hangzhou,

Ningbo,Shenzhen,Suzhou),allowing

OEMstosourcemotors,computernumeri-calcontrol(CNC)housings,printed

circuitboards,gearsystems,sensors,andbatteryassemblieswithinashortradiusandtomultisourcequickly.

Innovationandcapital

Innovationindicatorsskewheavily

towardChina,withrecentdataindicatingthecountryfiledapproximately7,700

humanoid-relatedpatentsoverthepast

fiveyears,versusroughly1,560inthe

UnitedStatesand1,100inJapan.

China'sroboticspushisunderpinnedbyindustrialpolicyandcapitalstructuresthatcansupportscalingbeforefullcom-mercialvalidation.

Atthesametime,constraintsremain.

AccordingtoStanfordUniversity's2025AlIndexreport,USprivateAlinvestment

reachedapproximately$109billionin

2024,versusroughly$9.3billioninChina,aroughly12-foldgapthatsuggests

China'smanufacturingandcoordinationadvantagescoexistwithastructural

constraintinprivate-capitalintensityatthefrontierAllayer.5Accesstoadvanced

computeisfurtherlimitedbyUSexportcontrolsoncertaincomputingintegratedcircuitsandsemiconductormanufacturingequipment.Exportmarketsmayalso

imposelimitsrelatedtodatasecurity,cloudconnectivity,andstandards,

potentiallyacceptingChinesehardwarewhilerestrictingsoftwareordataflows.

Thelikelyoutcome:Abifurcatedecosystem

Ratherthanasingleglobalwinner,

thehumanoidsupplychainismorelikely

tobifurcate.Chinamayreachhardware

scaleandearlycostcompressionsoonerthroughmanufacturingexecutionand

deploymentlearning,whileUSand

Europeanecosystemsdifferentiatevia

frontierAlsophistication,system

architecture,andhigh-assurance,safety-

certifieddeployments.Thisbifurcation

hasdirectimplicationsforsourcingstrategy,competitivepositioning,andthe

geographicshapeoftheemerginghumanoideconomy.

1"WorldRobotics2025report-INDUSTRIALROBOTS-releasedbyIFR,"IFRpressrelease,September25,2025.

2"Chinapacksapatentpunchintheracetobuildhumanoidrobots,"SouthChinaMorningPost,December20,2025.

3UntreeRobotics,humanoidrobotproductpage,2026.

4"Chinapacksapatentpunchintheracetobuildhumanoidrobots,"SouthChinaMorningPost,December20,2025.

52025AIndexreport,StanfordUniversityHuman-CenteredArtificiallntelligence,April2025.

Turninghumanoidsupplychainconstraintsintobillion-dollarwins7

Turninghumanoidsupplychainconstraintsintobillion-dollarwins8

Mediumrisk:Scaledsupplybutmajoradaptationsrequired

Thismiddletiercontainscomponentsthatareproducedatscaleinadjacentindustriesbutrequiremoreextensiveadaptationsforuseinhumanoidsthanthoseinthelow-riskcategory.Encoders,certainreal-timecontrolelectronics,andinertialmeasurementunits(IMUs)arewidelyavailableacrossconsumer,industrial,andaerospacegrades,yetnotallvariantsprovidethelatency,

driftstability,andfaulttolerancerequiredfordynamicbipedalbalance.Visionhardwarefromautonomous-drivingprogramsisoftenoverspecified,bulky,orpower-hungryrelativeto

humanoidconstraints,requiringsignificantrepackaging.Aswithlow-riskcomponents,theopportunityliesinadaptingscaledsupplytohumanoidrequirements:Underlyingcapacityissufficient,butgreateremphasisisrequiredonqualificationandconfiguration.

Highrisk:Thechokepointswheresupplystrugglestomeetambitions

Threecomponentclustersmaybeparticularlysubjecttobottlenecks,butthesesameareasrepresentsomeofthemostattractiveopportunitiesforsupplierstoscalecapacityand

defineemergingstandards.Thefirstcluster,whichcontainsprecisionmotorcomponents,includesthefollowing:

-Harmonicandstrain-wavedrives.Thecompact,high-torque-densitygearboxesusedin

humanoidjointsremainconcentratedamongasmallgroupofmanufacturers,including

HarmonicDrive,Nabtesco,andemergingChineseplayerssuchasLeaderdrive.Productionofthesehigh-costcomponentsisprecisionboundandcapitalintensive,requiringdedicatedtooling,metrologyinfrastructure,andlongqualificationcycles.Unlikeelectronics,where

capacitycanbeaddedrapidly,harmonic(strain-wave)gearboxesarestructurallyhardertoscale.Ashumanoidvolumesrise,demandcouldoutpacethespeedatwhichsuppliers

canaddqualifiedcapacity,creatingasignificantopportunityforsuppliersthatcanscaleprecisionmanufacturingandestablishearlyleadershippositions.Whilealternative

gearboxtechnologies,suchascycloidaldrives,benefitfrombroaderindustrialuseandmorescalablemanufacturing,harmonicdrivesremainmoreexposedbecauseoftighterprecisiontolerancesandamoreconcentratedsupplierbase.

-Planetaryrollerscrews.Thesecomponentspresentanevenmoreacuteriskofbottlenecks.ThissegmentincludesspecializedmanufacturerssuchasSKF,aswellasselecthigh-precisionAsiansuppliers.Comparedwithballscrews,whichbenefitfrombroadmachinetooland

automationdemand,rollerscrewsremainahigh-load,high-precisionnichewithanarrowsupplierbase,longleadtimes,andlimitedsubstitutionoptions.AshumanoidOEMs

pursuehigherpayloadsandmoredynamicmotionprofiles(shiftingtowardhybridrotaryandlinearactuationarchitectures),demandforrobotics-graderollerscrewscould

exceedexistingsuppliers'abilitytoscale-atrendthatcouldmakethissegmentparticularlyattractiveforsuppliersthatcanexpandhigh-precisioncapacityearly.

-Robotics-gradelinearguides.Thebottlenecksherearisefromsubtlerconstraints.Global

playerssuchasBoschRexroth,Hiwin,andTHKoperateatsignificantindustrialscale,providingsufficientoverallcapacity,buthumanoidapplicationsoftenrequirecompact,high-durability,low-clearanceconfigurationsthatnarrowtheeffectivesupplierpool.Theprimarybottleneckliesinqualifyingandrampingrobotics-gradesubsets,ratherthantotalvolume.

-Permanentmagnets.Upstream,high-torqueactuatorsdependonrare-earthpermanent

magnets,especiallyneodymium-iron-boron(NdFeB),toachieverequiredpowerdensity.Chinacontrolsapproximately69percentofglobalrare-earthminingand90percentofmagnet

Turninghumanoidsupplychainconstraintsintobillion-dollarwins9

processingandrefiningcapacity,andrecentexportlicensingchangeshavealready

introducedvolatility.ElonMuskhaspubliclynotedthatmagnetsupplyconstraintshaveaffectedOptimusproduction.

Thesecondclusterofhigh-riskcomponentsincludesthosethatenableforceandtactilesensing:

-Six-axisforce/torquesensors.Thesecomponents,suppliedbyalimitednumberofrobotics-focusedvendors,includingATIIndustrialAutomationandOnRobot,arecalibrationintensiveandrequiretightmetrologyandqualitycontrol,withlimitedautomationinproduction.Unlikemotorsorcontrolelectronics,six-axisforce/torquesensorsbenefitlittlefromautomotiveorconsumerspillover.Scalingdependsnotonlyonmachiningcapacitybutonexpandinghigh-precisioncalibrationinfrastructure,acapabilitythatremainsconcentrated.

-Linear-forcesensors.Thesecomponentsfacesimilardynamics:acompact,high-precisionnichewithlimitedstandardizationandshallowsupplierdepth.

-Tactilesensors.Althoughthesecomponentsarealsopronetobottlenecks,therisksdiffer.Inthiscategory,manyleadingsolutionsoriginatefromstart-upsorresearch-drivencompanies,ratherthanlarge-scaleindustrialsuppliers,creatingafragmented,unstandardized

landscapewithnodominantarchitecture.

Forthethirdcluster,computeandcontrol,theriskofbottlenecksresultsfromtheabsence

ofcohesive,safety-certified,low-latencyhumanoidplatforms,ratherthancomponentscarcity.MostOEMsuseoff-the-shelfAlcomputemodules(mostprominentlyNvidia'sJetsonseries)

alongsideautomotive-grademicrocontrollersandindustrialservocontrollersfromvendorssuchasElmo,Novanta(CeleraMotion),andSynapticon.Thesearecapablecomponents,butnone

wasdesignedforhumanoid-specificcoordinationandsafetyintegration.Theresultisa

heterogeneousstack:aGPU-basedboardforperception,distributedjointcontrollers,andcustommiddlewareforcommunicationandfaulthandling.Thereisnostandardized,safety-certified“robotECU”analogoustoanautomotiveenginecontrolunit.

Whileverticalintegrationispossibleforcomputeandcontrol,thisrouteisuncommon.One

prominentexampleisTesla,whichhasadapteditsautomotivefullself-driving(FSD)computestackforOptimusandlinksinference,motioncontrol,andsafetylogicwithinaunifiedsystem.FewotherhumanoidOEMshavethescaleorsemiconductorcapabilitytoreplicatethismodel,however.

Rapidlyevolvingautonomyarchitecturesarecompoundingthebottlenecksrelatedtocomputeandcontrol.AsAlcapabilitiesadvance,OEMsretaintightcontroloverfirmwareandsystem

integration,makingithardforexternalsupplierstodesignagainstastablespecification.OEMsshouldermostoftheburdenforreal-timecoordinationacross20to40primarystructural

actuators,oftenatkilohertz-levelcontrolfrequencies,combinedwithfail-operationalsafety

logic.Thismakescomputeasystemsbottleneck(integrationandcertification)rather

thanacomponentsupplybottleneck(capacityconstraints),adistinctionthatmatterswhenprioritizinginvestment.

3"Rareearthmagnets2026-2036:Technologies,supply,markets,forecasts,"IDTechEx,2026.

Fromverticalintegrationtosupplierplatformecosystems

TheunevenreadinessofthehumanoidsupplychaindirectlyshapeshowOEMssourcetoday.Insomecases,OEMsnowrelyonverticalintegrationbecausenoviablesupplieroptions

exist,notbecausetheyhaveastrategicpreferenceforkeepingmanufacturingin-house.Asthehumanoidindustryscales,sourcingpatternsmaychange.

Today'smarket:OEMsbuildbecausetheymust

MostOEMsnowredesignortightlyintegratethesubsystemswhereperformancesensitivity

andsupplierscarcityintersect,especiallyforactuation(Exhibit4).Asthelargestsinglecost

driverandprimaryperformancedifferentiator,actuatorsconcentratethecorecompetitivelevers:

torquedensity,backdrivability,precision,andlifetimeperformance(seesidebar"Insidethe

Exhibit4

Asthesupplychainmaturesandscaleisachieved,OEMsarelikelytofocustheirvalueaddondifferentiatingdomains.

Areasoffocustodayandin2035VerystrongfocusMediumfocus

Standard

components

sourcing

Today2035

Today2035

Today2035

Today2035

Today2035

Today2035

Today2035

Today2035

Today2035

Today2035

In-house

In-housedesign

andexternal

manufacturing

Codeveloped

withastrategic

vendor

Sensing/

perception

Computeplatform

Structuralcomponent

Batterymodule¹

Vendor-led

custom

development

designand

manufacturing

Bearing

Actuators

Gearbox

Encoder

Motor

Driver

AnexemptionislikelytoapplytohumanoidroboticsOEMswithexistingbatterymanufacturingsitesfromelectric-vehiclebusinesses.

Source:Expertinterviews,publicfilings,websearch

McKinsey&Company

Turninghumanoidsupplychainconstraints