2026年度机器人产业现状报告 State of Robotics 2026

◆SVRCRESEARCH

SiliconValleyRoboticsCenter·AnnualReportSeries

The2026AnnualReport

StateofRobotics

2026

Hardware,data,andfoundationmodels—adefinitiveviewoftheglobalroboticsindustryacrosstwelveverticalsandfourregions.

PUBLISHED

March2026

AUTHOR

SVRCResearch

VOLUME

48pages·v1.0

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CONTENTS

Insidethisreport

00ExecutiveSummary03

01

TheHardwareLandscapearms,humanoids,compute

05

02

DataCollectionatScalecostcurves,operatormarkets

08

03

TheRiseofFoundationModelsVLAs,IL,simulation

10

04

DeploymentbyVerticallogistics,food,fabs,health

12

4B

SpecialFocus—Chinathestrategicopportunity

14

05

Investment&M&Acapitalflows,valuations

16

06

WhattoWatchin2027sixthemesshapingnextyear

18

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EXECUTIVESUMMARY

Anindustrymovesfrom

hardwaretoinfrastructure

In2026,theroboticsindustryisnolongerdefinedbythenoveltyofanewformfactor.Itisdefinedbywhetheranoperatorcancollectdata,trainapolicy,andredeployit—repeatedly,economically,atscale.

Theglobalroboticsmarketreached$38Bin2026,a34%year-over-yearincreaseandthefastestgrowthratethesectorhasseeninadecade.Butheadlinegrowthaloneunderstatesthestructuralshiftsunderneath:hardwareisbeingcommoditizedfasterthanthesoftwareanddatalayer;foundationmodelshavecrossedfromresearchcuriositytoproductioninfrastructure;andtheeconomicsofteleoperationdatacollectionhavefallentoalevelwhereenterprisepilotsarefinanciallyviableforthefirsttime.

Threeforcesreorganizethestackthisyear.First,hardwarecommoditization—fourteenmanufacturersnowproducesub-$10Kroboticarms,andtwelvecommercialhumanoidplatformsareavailableforpurchaseorlease.Second,dataeconomicshaveinverted:whatcost$340/hourtocollectin2024nowcosts$118/hour,puttinga$50K–$150Kpilotdatabudgetwithinreachformostenterprises.Third,Vision-Language-Action(VLA)models—absentfromproduction18monthsago—nowback40%ofnewdeployments.

MARKETSIZE

$38B

Globalroboticsmarketin2026,up34%YoY—fastestgrowthina

decade.

VLAADOPTION

3×

Vision-Language-Actionadoptiontripled,nowin40%ofnew

deployments.

DATACOST

−60%

Teleoperationdatacost/hourfell60%versus2024baseline.

HUMANOIDPLATFORMS

12

Commercialhumanoidsforpurchaseorlease—upfrom3in2024.

MARKETCONCENTRATION

58%

JapanandUScombinedshareofglobaldeploymentsbyunitvolume.

TRAININGSHIFT

IL>RL

ImitationlearningovertookRLastheprimarymanipulationtrainingmethod.

SVRCPERSPECTIVE

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Thecompaniesthatwilllookbackat2026asapivotalyeararethosethatusedittobuildrepeatable

datacollectionworkflows,rigorouspolicyevaluationsystems,andgenuineverticaldepth—nottheonesthatchasedthelatesthardwarelaunch.Thedefensibilitylayerhasmovedup-stack.

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CHAPTER01

TheHardwareLandscape

Theroboticshardwaremarketentered2026inastateofproductivefragmentation.Manufacturershaveconvergedonasetofdesignprinciplesthatprioritizedatafriendlinessoverrawcapability—back_drivablejoints,onboardIMUstacks,andlow-latencytetheringbuiltfromthegroundupforteleoperation.

Armproliferationandcommoditization

Six-DoFandseven-DoFroboticarmspricedunder$10,000arenowavailablefromatleastfourteenmanufac‐turersacrossfivecountries.TheOpenArmplatform—originallyaresearchderivativeofACT—hasbecomethedefactobaselineforacademicandearly-enterprisepilots,withmorethan2,400unitsshippedin2025alone.Itsopen-sourceURDFandROS2compatibilitymeanresearcherscanportpoliciestrainedononearmtoanotherinhoursratherthanweeks.

Chinesemanufacturersaccountforeightofthefourteensub-$10Karmsonthemarket.LeadtimesfromChineseOEMshavecompressedfrom14weekstoasfewas3weeksforstandardconfigurations,applyingsignificantpricepressureonUSandEuropeansuppliers.Inresponse,USsuppliershavecompetedonsupportdensity,softwareintegration,andcertification(CE,UL)ratherthancomponentcost.

KEYINSIGHT

Thearmhardwaremarketisbeingcommoditizedfasterthanthesoftwareanddatamarket.Companiesthatbuiltcompetitiveadvantageonhardwareexclusivityarerepositioningtowardtrainingpipelines,

policylibraries,andsupportcontracts.

Humanoidscrossthecommercialthreshold

Twelvecommercialhumanoidplatformsbecameavailableforpurchaseorstructuredleasein2026.Thisisnotmerelyaheadlinenumber—itrepresentsagenuinemarketformationevent.In2024,onlythreeplatformshadreachedthatthreshold;inearly2025,five.Thejumptotwelvereflectsboththematurationofactuationtechnologyandthecapitaldeployedbystrategicinvestorsseekingtoseedthedatacollectionlayer.

Ofthetwelveplatforms,fourarebipedalfull-humanoids,threeareupper-body-onlytorsos,andfivearehumanoid-adjacentmobilebaseswithtwoormoredexterousarms.Averagesellingpricesrangefrom$28,000forthelightesttorso-onlysystemsto$245,000forfullbipedswithonboardcompute.Severalmanufactur‐

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ersareofferinglease-firstprogramsat$3,500–$8,000/month,recognizingthatenterprisebuyersarenotyetreadytocommittopurchasebeforedemonstratingaworkflow.

5

Humanoid-adjacentmobile

3

Upper-bodytorsosystems

$3.5K

Monthlylease,entrytier

4

Bipedalfullhumanoids

Sensorandcomputeintegration

Theintegrationofdepthcameras,wrist-mountedforce-torquesensors,andonboardcomputeintotherobotitself—ratherthanhangingoffahostPC—wasaconsistentthemeacross2025hardwarelaunches.NVIDIAJetsonOrinandThormodulesnowshippre-integratedinatleastsevencommercialplatforms.Thisshiftshortensthe"hardwaretofirstinference"timelinefromdaystoundertwohoursfordevelopersalreadyfamiliarwithstandardrobotlearningstacks.

Exhibit1.1—GlobalRoboticsMarketSize,2021–2026

USDbillions·barsshowYoYgrowthincaptions

$45

$28.5B

20252026

+34%YoY

$24B

2024

$22B

2023

$18B

2022

$14B

2021

$30

$15

$0

$38B

Source:SVRCResearch,IFR,PitchBook·Estimateswhere2026exceedsreportingperiod

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Plat

Exhibit1.2—CommercialHumanoidPlatformsAvailable

12

5

3

1

2023202420252026

formsavailableforpurchaseorstructuredlease,end-of-year

10

5

0

15

Source:SVRCResearch,manufacturersurveys

Formfactoreconomics

FORMFACTOR

UNITSSHIPPED(2025E)

PRICERANGE(USD)

PRIMARYUSECASE

6.DoFArm(<$10K)

18,400

$2,800–$9,500

Research,datacollection

BimanualArmSystem

3,100

$14,000–$38,000

Manipulationresearch,pilots

MobileManipulator

2,200

$28,000–$95,000

Logistics,inspection

FullHumanoid

410

$85,000–$245,000

Factorypilots,media/demo

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CHAPTER02

DataCollectionatScale

Ifhardwarewasthestoryof2024,datainfrastructureisthedefiningstoryof2026.Theunderlyingeconomicsofrobottrainingdatahaveshiftedmorethananyothersegmentofthestack.

Theaveragecostperhourofhigh-qualityteleoperationdata—captured,labeled,andpackagedintoastandardizeddatasetformat—fellfromapproximately$340/hourinearly2024to$136/hourbyQ42025.TheSVRCbenchmarkdatasetputsthefullyloadedcostat$118/hourasofMarch2026forastandardpick-and-placetaskwithwristcameraandexternalRGBD.

Whatdrovethecostdrop

Threeforcesdrovethiscompressioninparallel.First,teleoperationhardwareitselfbecamecheaperandmoreergonomic—theemergenceofleader-followersystemspricedunder$2,000madeiteconomicallyviabletodeployteleoperatorsatscalewithoutbespokehardwarepersite.Second,replay-and-annotationpipelinesmatureddramatically;toolslikeDROID,LeRobot,andcommercialequivalentscannowingestrawoperatorstreamsandproduceRLDS-formattedepisodeswithsemi-automatedqualityscoring,cuttingannotationlaborby40–60%comparedto2024workflows.Third,thecommunitystandardizedaroundasmallsetofepisodeformats(RLDS,HDF5withLeRobotschema),reducingtheintegrationtaxforeachnewhardwareplatform.

Exhibit2.1—TeleoperationDataCollectionCostperHour

Fully-loadedUSDperhouroflabeled,RLDS-formattedmanipulationdata

$400

$200

$100

$0

$340

$265

$195

$155

o$136$118

Q3'24

Q1'25

Q3'25

Q4'25

Q1'26

Q1'24

Source:SVRCResearch,operatormarketplacepricingdata

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THESCALETHRESHOLD

Ouranalysissuggestsmostmanipulationtasksrequire300to1,200high-qualitydemonstrationstotrainapolicythatgeneralizesacross80%ofin-distributionvariations.Thisputsa$50K–$150Kdatabudgetwithinreachforenterprisepilots—athresholdthatwasoutofreachformostorganizations

twoyearsago.

Teleoperationoperatormarkets

Asecondarymarketfortrainedteleoperationoperatorshasmaterialized.Marketplacesnowconnectenterprisesthatneeddatacollectioncoveragewithoperatorscertifiedonspecifichardwareplatforms.Ratesrangefrom$22–$55/hourforoperatorsinIndia,thePhilippines,andEasternEurope,to$65–$120/hourforUS-basedop‐eratorswithdomainexpertise(surgicalsimulation,foodservice,laboratorysettings).Leadingplatformsrequire8–40hoursofplatformcertificationbeforeoperatorsareeligibleforproductiontasks.

Proprietaryvs.opendata

Thetensionbetweenopendatasetsandproprietarycurationisnowacute.TheOpen-Xecosystemhasgrowntoover1millionannotatedrobotdemonstrationsacross22robottypes.Butenterprisecustomersincreas‐inglyrecognizethatdeployment-specificdata—collectedontheirhardware,intheirenvironments,withtheirtaskdistribution—isadurablecompetitiveasset.Thesmartmoneyin2026isbuildingproprietarydatasetsthatcomplement,ratherthansubstitutefor,openfoundationdatasets.

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CHAPTER03

TheRiseofFoundationModels

Vision-Language-Actionmodelsrepresentthemostsignificantarchi_tecturalshiftinrobotlearningsincetheemergenceofend-to-endim_itationlearningin2022—andtheycrossedfromresearchartifacttoproductioninfrastructurethisyear.

VLAsintegratevisionencoders(typicallyViTvariants),languagemodels(usuallyinthe7B–13Bparameterrange),andactiondecodersintoasingleend-to-endtrainablestack.Thekeycapabilityunlockedisnatural-languagetaskspecification:anoperatorcandescribeataskinplaintext,andthemodelgroundsthatinstruc‐tiondirectlyintoactionsequenceswithouttask-specificengineering.

Fromresearchcuriositytoproductioninfrastructure

In2024,VLAswereprimarilyresearchartifacts—impressiveindemos,brittleindeployment.ByQ22025,threemajorroboticssoftwarecompanieshadshippedVLA-basedproductstoenterprisecustomers.ByQ12026,atleastelevencommercialdeploymentsareusingVLAmodelsastheprimarypolicybackbone.Theturningpointwasinferenceoptimization:quantizedVLAmodelsnowrunat10–25Hzonconsumer-gradeGPUs,makingthemcompatiblewithreal-timemanipulationloops.

Theleadingopen-weightVLAmodelfamilies—OpenVLA,Pi0,andRDT-1B—haveeachexceeded1,000citationsin12months,ameasureofhowrapidlytheresearchcommunityhasbuiltonthesefoundations.Fine-tuningabaseVLAon200–500task-specificdemonstrationsnowconsistentlyoutperformstrainingatask-specificpolicyfromscratchon1,000+demonstrations,aresultthatchangestheeconomiccalculusforenterprisedeployment.

THEIMITATIONLEARNINGINFLECTION

ForthefirsttimeinSVRC'sannualsurvey,morerespondents(61%)citedimitationlearningastheir

primarytrainingmethodthanreinforcementlearning(31%).Twoyearsago,thatratiowasreversed.

ThisisnotarejectionofRL—itisanacknowledgmentthatILisnowthemorepracticalon-rampformostreal-worldtasks.

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Exhibit3.1—TrainingMethodAdoption

%primarymethod·SVRCsurveyn=1,240

Exhibit3.2—VLAAdoptioninNewDeployments

%ofnewdeploymentsusingaVLAbackbone

2024

30%50%RL20%

2025

45%40%15%

2026

61%IL31%8%

ImitationRLOther

SVRCAnnualDeveloperSurvey

2024:<5%2025:14%

40%

of2026deployments

3×YoY

SVRCenterprisedeploymenttracker

Simulationandsyntheticdata

Physicssimulation—longthedomainofRLresearchers—hasbecomerelevanttoILpractitionersthroughtwochannels.First,syntheticdataaugmentationallowsteamstosupplement200realdemonstrationswiththou‐sandsofsimulatedvariants,improvinggeneralizationwithoutproportionallyincreasingreal-worldcollectioncosts.Second,sim-to-realtransferforVLAshasimproveddramaticallyasphotorealisticrendering(viaNVIDIACosmosandIsaacLab)hasnarrowedthevisualdomaingap.TeamsatCMUandStanfordindependentlyreported2026resultswhereVLAstrainedon40%syntheticdatamatchedpoliciestrainedon100%realdataonheld-outtasks.

Modelsizeandefficiency

Contrarytothescalingnarrativeinlanguagemodeling,theempiricalconsensusforroboticsfoundationmodelsin2026isthatefficiencymattersmorethanscalebeyond~7Bparameters.Awell-curated500-demofine-tuneofa7BVLAoutperformsapoorlycuratedfine-tuneofa70Bmodelonmostmanipulationbenchmarks.Thishasdrivensignificantinterestindatasetcurationtools,episodequalityscoring,anddemonstrationfiltering—the"dataflywheel"layerofthestack.

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CHAPTER04

DeploymentbyVertical

Threeverticals—logistics,foodservice,andsemiconductormanufac‐turing—accountfor64%ofallcommercialrobotdeploymentsbyunitvolume.Butthemostinterestingstoryisinthelongtail,wherehealthcare,retail,andagriculturearecrossing1,000unitsforthefirsttime.

Logisticsandwarehousing

Logisticsremainsthesinglelargestdeploymentvertical,drivenbycontinuede-commercegrowthandpersistentlaborpressureinfulfillmentcenters.Thedominantformfactoristhemobilemanipulator—awheeledbasewithoneortwoarmscapableofpickingandplacinginsemi-structuredenvironments.Key2026developments:theemergenceofheterogeneousfleets(orchestratedcombinationsofAMRs,arms,andhumanoids),andatrans‐itionfromfixed-tasktoflexible-taskdeploymentsenabledbyVLAmodels.

Foodservice—thesurpriseverticalof2026

Morethan340QSRlocationsacrosstheUS,Japan,andSouthKoreanowoperateatleastonerobotinacustomer-facingorkitchen-facingcapacity.Theeconomicsarecompelling:aburger-flippingorfry-dispensingrobotamortizesover3–4yearsatlaborcostsnorthof$18/hour.Theprimarytechnicalchallenge—handlingvariabilityoffooditemsandhygienerequirementsofcommercialkitchens—hasbeensubstantiallyaddressedbyVLAmodelstrainedonkitchen-specificdatasets.

Semiconductorandelectronicsmanufacturing

High-precisionmanufacturinghasbeenrobot-densefordecades,but2026marksashiftfromfixedindustrialautomationtoflexible,reprogrammablemanipulationsystems.Semiconductorfaboperatorsreportthattheabilitytoretaskarobotarminhours(versusweeksfortraditionalreprogramming)isunlockingentirelynewusecasesinwaferhandling,PCBinspection,andcomponentplacement.

Healthcareandlaboratorysupport

Healthcare-adjacentrobotics—coveringsampletransport,pharmacydispensing,andinstrumentcleaning—crossed1,200deployedunitsin2025andisprojectedtoreach3,500byendof2026.Theregulatorypathway

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fornon-patient-contactautomationhasprovenmoretractablethanmanyexpected,withFDAandEUMDRguidanceupdatedin2025.

VERTICAL

DEPLOYEDUNITS(2025E)

YOYGROWTH

LEADINGFORMFACTOR

Logistics/Warehousing

41,000

+28%

MobileManipulator

Semiconductor/Electronics

22,500

+18%

Precision6-DoFArm

FoodService

8,200

+61%

FixedArm/HumanoidTorso

AgriculturalHarvesting

3,400

+47%

OutdoorMobileArm

Construction/Inspection

1,900

+33%

Quadruped/DroneHybrid

Healthcare/LabSupport

1,200

+94%

MobileBase+Arm

Exhibit4.1—DeployedUnitsbyVertical,2025Estimate

Unitsdeployed,commercial/productionenvironmentsonly

Logistics41,000

Semiconductor22,500

FoodService8,200+61%

Agriculture3,400

Construction1,900

Healthcare1,200+94%

Source:SVRCResearch,IFR·yellowbarsindicatefastest-growingverticals

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◆SPECIALFOCUS·CHAPTER4B

China:TheWorld'sRoboticsManufacturingEngine

WhyChinaisnotmerelyaparticipantintheglobalroboticsindustry—itisthegravitationalcenter—andwhatthatmeansforpartnerships,sourcing,anddatacollectionstrategy.

AccordingtotheIFR,Chinaaccountedformorethan70%ofglobalindustrialrobotinstallationsin2025,asharethathasgrownsteadilyfrom52%in2020.Noothercountrycomesclose.Thisdominanceindeploymentvolumeisnowbeingcompoundedbyanequallysignificantadvantageinhardwaremanufacturing,humanoiddevelopment,andnationalpolicycoordination.

Thesub-$10Karmmanufacturingpowerhouse

Ofthefourteenmanufacturersgloballyproducingroboticarmspricedunder$10,000,eightareChinesecom‐panies:Unitree,AgileX,ElephantRobotics,LEBAI,Flexiv,andseveralShenzhen-basedOEMs.Thesecom‐paniesbenefitfromthesamehardwaresupplychaindensitythatmadeShenzhentheworld'sconsumerelec‐tronicscapital.Aprototypethattakes12weekstoproduceintheUSorGermanycanbeturnedaroundin10–14daysinShenzhen,atafractionofthecost.

Exhibit4B.1—Sub-$10KRobotArmManufacturersbyCountry

Of14globalmanufacturersproducingsub-$10Ksix-andseven-DoFarms

China8

USA3

Germany2

Other1

Source:SVRCResearch,manufacturersurveys

Thehumanoidrace

China'shumanoidambitionsarebackedbyexplicitnationalpolicy.The2025HumanoidRobotActionPlan—issuedjointlybyMIITandfiveotherministries—setanationaltargetof100,000humanoidrobotsdeployed

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by2027,afigurethatwouldexceedtherestoftheworld'scombinedhumanoidinstalledbasebyawidemargin.Keyprograms:

▸Tiangong(BeijingHumanoidRobotInnovationCenter)—afull-sizebipedalhumanoidwith42degreesoffreedom,demonstratingwalking,manipulation,andstairclimbing.Aconsortiumeffortbackedbymunicipalandcentralgovernmentfunding.

▸AgiBot—aShanghai-basedcompanydevelopinghumanoidrobotsformanufacturingandlogistics;

amongthefirstChinesehumanoidcompaniestobeginstructuredenterprisepilotprograms.

▸UnitreeH1/G1—Unitree'shumanoidlineuphasattractedglobalattentionforaggressivepricingandrapiditerationcycles,benefitingfromUnitree'sestablishedquadrupedmanufacturingbase.

TheCompetitiveDynamic

UShumanoidcompanies(Figure,Agility,Apptronik)competeonsoftwaresophisticationand

enterpriseintegration.Chinesecompaniescompeteonmanufacturingcostanditerationspeed.

Bothapproacheshavemerit,andthemarketislargeenoughthatregionalchampionswilllikelyemergeonbothsides.

Manufacturingdemand:BYD,CATL,andFoxconn

ThedemandsideofChina'sroboticsequationisequallycompelling.BYD—theworld'slargestEVmanufac‐turer—operatesfactorieswithhundredsofthousandsofworkersandhaspubliclycommittedtoaggressiveautomationtargets.CATL,thedominantbatterymanufacturer,facessimilarlaborpressureandhasbegunpilotingroboticmanipulationincellassemblyandqualityinspection.Foxconn,whichmanufactureselectronicsforAppleandothers,isnowinvestingspecificallyinflexible,AI-drivenmanipulationsystemsretaskableacrossproductlines.

Thesethreecompaniesalonerepresentapotentialdemandpooloftensofthousandsofroboticsystems—and,critically,thetrainingdatageneratedfromtheirdeployments.AsingleBYDfactoryoperating50roboticarms