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GlobalSolarReport:
2025Edition
TheStateofPVPerformance
?2025RaptorMaps.Allrightsreserved.
1
?2025RaptorMaps.Allrightsreserved.
2
Contents
Introduction
ExecutiveSummary
Chapter1:ScalingPower,SharpeningPerformance
Chapter2:AnatomyofPowerLoss
Chapter3:BenchmarkingDCHealth
Conclusion
AboutRaptorMaps
Introduction
RaptorMapsstudiestheperformanceandriskprofilesofsolarassetsaroundtheworldinordertodistillindustrytrendsandtohighlightopportunitiesfortherapidlygrowingsolarindustry.
ThisreportisasummaryofRaptorMaps’research.
The2025GlobalSolarReportdrawsupon193GWdcofutility-
scaleandcommercialandindustrial(C&I)solarPVanalysis,with67GWdcofanalysisin2024alone.Inthisreport,youwillfind:
·Assetperformancemetricsoverthelast5yearsandfindingsonmacro-trendsdrivingunderperformance
·Commonproblemsfoundandtheirimpactonpowerproduction
·Trendsinsiteworkautomationandresourcedeployment·Awiderangeofperformancebenchmarksby:
Typeofpaneltechnologyutilized
Capacityofinstallation
U.S.electricpowermarketsandU.S.states
NoteonUnderperformanceData:
Weassignunderperformance(powerloss)byeachgranularissueobservedtocalculatepowerloss.Thisreportcorrectsforsitesinspectedmultipletimesinasinglecalendaryear(anincreasingtrend)andsignificantoutliers.
3
ExecutiveSummary
In2024,thesolarindustrydemonstratedremarkablegrowthandresilience,surpassing2
terawatts(TW)inglobalcapacityjusttwoyearsafterbroaching1terawatt[1].The
photovoltaic(PV)markethascementeditspositionasarobustandcompetitive
alternativetotraditionalenergygeneration,withtheInternationalEnergyAgency(IEA)
projectingsolartoaccountfor80%ofrenewablesgrowthby2030withstronginstallationfromsomeoftheworld’slargesteconomies:[2][3]
·Chinaisexpectedtoaccountfor60%ofglobalcapacityexpansion.
·TheEuropeanUnionisforecastedto2xtheirinstalledcapacityby2030.
·Indiaisexpectedtoemergeasthefourth-largestmarket,growing3.5xincapacity.
·TheUnitedStatesinstalled40.5GWin2024,bringingthetotalto219GW.Thesectorhassolidifieditsroleasaneconomicdriver,with$60billioninprivateinvestmentand
280,000jobsnationwide.
However,expansivegrowthinthesolarindustryisnotwithoutitschallenges,especiallyasamaturingfleetrevealsnewandattimesunexpectedriskcategories:
·Equipment-drivenunderperformancehastripledoverthelast5years,highlightingacontinuedneedforefficientlydeployingresourcesforreportingissuesandcorrective
maintenance.
·Increasingriskprofiles,emphasizedbysolar’sexposuretoclimatechange-driven
risks,suchasstorms,floodsandfires.Industrymodelscontinuetounderestimatethe
effectsofweather-relatedeventsby300+%[4].Assetownershaveturnedtocreative
methodstomanagerisk,suchaspreventativeinvestmentindesignandmaintenance
toreducecosts.
·Ongoinglaborconstraints,especiallyasoperatorscontendwithbothincreasingfleetsizesandaverageinstalledcapacity.IntheU.S.specifically,“nearly70%ofthetruecostofsolarO&Mcomesfromlabor-basedinflationarycosts”[5].
[1][2]“SolarPVpowercapacityintheNetZeroScenario,2015-2030.”IEA,
/data-and-statistics/charts/solar-pv-power-capacity-in-the-net-zero-
scenario-2015-2030
.
[3]“SolarMarketInsightReportQ42024.”SEIA/WoodMackenzie,10Jan.2025,
/research-resources/solar-market-insight-report-q4-2024
.
[4]“SolarRiskAssessment.”kwHAnalytics,2024,
/solar-risk-assessment
.
i[i“t
CostofSolarO&MIsIncreasing.”O(jiān)rigis/WoodMackenzie,2022.
/insights/the-true-cost-of-solar-om-is-increasing-
RaptorMapsGlobalSolarReport:2025Edition
RaptorMapsGlobalSolarReport:2025Edition5
Politicalheadwinds,suchasPresidentTrump’stariffsandtheU.S.leavingtheParis
ClimateAccords,couldimpactthegrowthofU.S.solarasinfrastructureinvestorsmightgravitatetowardslenientpoliciesfordomesticnaturalgas.Themomentumofsolar
growthremainsuncertainintheU.S.,evenasDecemberprojectionsstillshowed43GWdcaddedannuallyoverthenextfiveyears[6].
Thesethreeindustry-widetrends-rapidgrowth,changingenergy
policylandscape,andincreasingfinancialpressure-underscoretheimportanceofensuringthatalreadyinstalledassetsperformas
modeledtocontinuedeliveringreliable,low-costcleanenergy.
Tothatend,RaptorMapshasuncovered4maintrendsinthisyear’sReport:
·Whilethegrowthinaverageunderperformanceyear-over-yearhassloweddown,thereisstillsignificantopportunityforownerstoclosethegapbetweenmodeledand
actualperformance.In2024,theaveragesolarfarminourdatasetlostupto
$5,720/MWdcperyearfromunresolvedequipmentissues.Extrapolatedtothewholeindustry,thatindicatesanannualizedpotentialrevenuelossof$10.0billion[7]fromsolarunderperformance.
·OwnersandoperatorsarebothincreasinglyadoptingAIandautomationtoreducetruckrolls,deployingrobotics(suchasremotelyoperateddrones)toinvestigate
specializedusecases.Amongtheseinspections,erosionandcrackinginspectionshavebecomemostpopular,comprising23%and18%ofnon-aerialthermographyinspections,respectively.
·Highpriorityissuesaccountedfor42%oftotalidentifiedissues,butwereresponsiblefor90%ofobservedrevenueloss.
·Overthepast5years,underperformancehasincreasedacrosssitesofallsizes,butin2024,weobservedthewidestrangeinperformanceacrossC&Iassets.
[6]“SolarMarketInsightReportQ42024.”SEIA/WoodMackenzie,10Jan.2025,
/research-resources/solar-market-insight-report-q4-2024
.
[7]Excludesresidentialcapacityandusesglobaltotalaccordingto
IEA
.
RaptorMapsGlobalSolarReport:2025Edition6
Aboutthedata
TheRaptorMapsplatformidentifiesandcategorizesissuesonsolarassetsthatcan
causesafety,compliance,orperformanceissues.Ournormalizedandaggregated
datasetof193GWcontainsdataonissuesrangingfromdamagederosionBMPsto
modulecrackingtothermographicanomaliesthatindicatepowerloss.Thisallowsustoanalyzetheperformanceandconditionsacrosssolarassetsandidentifyindustry-widetrends.
MostofthisreportwillfocusonDChealth,modulecracking,andequipment-drivenunderperformance–apotential$10Bproblemfortheglobalsolarindustry.
In2024alone,theRaptorMapsplatformanalyzeddatafrom67GWofPVsystems,of
which52GWwereforDChealthanalysis.Notably,lostcapacityfromequipment
anomalieshastripled(3.1x)overthelastfiveyears,underscoringthegrowingchallengeforsolarownersandoperators.ThefollowingsectionhighlightskeytrendsinDChealthperformance,usingdatatovalidatepatternsthatmanyintheindustryhavealready
sensed.
Powerlossiscalculatedbyapplyingalossfactortoeachimpactedmodulebasedontheseverityofthedetectedissue.
Thisyear’sreportappliesarefinedmethodologytoaccountforassetswithmultiple
inspectionswithinthesameyear,whichisarisingtrendthatRaptorMapshasobserved.
RaptorMapsDataset
CumulativeGWovertime
200.0
150.0
100.0
50.0
0.0
21.3GW-Non-AerialThermographyDataset
172.0GW-AerialThermographyDataset
201920202021202220232024
Chapter1
SCALINGCAPACITY,
SHARPENINGPERFORMANCE
In2024,theaveragesolarassetexperiencedapotentialrevenuelossof$5,720perMWdc,peryearfromequipment-drivenunderperformance.
Thatrepresentsincreasesof15%from2023and214%overthepast5years.
7
RaptorMapsGlobalSolarReport:2025Edition8
UnderperformanceContinuestoRise
AverageSystemPowerLoss
%ofTotalCapacity
5.77%
6.00%
5.00%
4.00%
3.00%
2.00%
1.84%
1.00%
0.00%
20202021202220232024
In2024,powerlossfromDChealthandotherequipmentissues(“powerloss”)continueditssteadyclimb,withsolarsitesexperiencing5.77%underperformance,upfrom5.00%in2023[1].Theconsistentincreaseinpowerlossisexpectedasownersandoperatorsnavigatethecomplexitiesofmanagingincreasinglylargerutility-scalesolarsitesandportfolios.
[1]PowerlosscalculationsassumeDCpowercapacityforannualfigures.
$6000
$5000
$4000
$3000
$2000
$1000
$0
AverageSystemRevenueLossPotential,
Annualized$perMWdc
$5,720
$977
20202021202220232024
Withtheindustryadjustingtorisingdemand,itiscriticalforownerstotakeproactivestepsinrecoveringlostrevenue—theaverageassetexperiencedannualizedlossesof$5,720/MWdcin2024,upfrom$4,617MWdcin2023.Forcontext,a100MWsiteexperiencing5.77%
underperformancefromyeartwoofoperationsuntildecommissioningwouldseeitsprojectIRRdropby249basispoints(Modelsource:
NREL
,RaptorMapsanalysis)
RaptorMapsGlobalSolarReport:2025Edition9
IndustryTrendsUnderpinningRisingUnderperformance
RaptorMaps’datasetprovidesanindicatorintotheoverallDChealthofalreadyinstalledsolarcapacity,providingfurthercontextintothefollowingtrendsinlaborand
manufacturing.
First,intheUnitedStates,thegrowthofoperationallaborisfailingtokeeppacewiththerapidexpansionofsolarcapacity.AccordingtotheUSIRECJobsCensusand
SEIA/WoodMackenzie,solarcapacityhasgrownby182%overthepastfiveyears
(2019-2023),whileoperationallaborhasincreasedbyonly91%duringthesameperiod[1][2].With27%ofoperations&maintenancehiringduetochurn,thecostsofhiring,onboarding,andretentionexertadditionalpressuresonbudgetsandtime[3].
Second,majorstridesinmanufacturinghavebeenmadeoverthepastdecade,as
trackedbythePVELScorecard[4].Infact,morethan20newmanufacturerswereratedTopPerformerswithinthescorecard.However,PVELhasalsoobservedacontinued
riseinBOM-levelfailureswith41%ofBOMsexperiencingatleastonefailure-upfrom32%in2023.Asthesolarindustrycontinuestomatureandscale,efficientlymonitoringandmanagingpotentialequipmentfailureswillbecritical.
Finally,boththemagnitudeandfrequencyofnaturalcatastropheeventscontinueto
grow.Inthe2010s,therewere13.1NOAAbillion-dollarweathereventsperyear.Theannualcountmorethandoubledin2024with27billion-dollarweatherevents[5].Fromhailstormsthatcausecrackingtolightningstormsthatcanstrikeequipment,ownersandoperatorscontinuetoprioritizetimelyextremeweatherresponse,increasingly
relyingontechnologyandinnovativeoperatingprocedurestomitigaterisk.
[1][3]“NationalSolarJobsCensus”IREC,2024,
/census-solar-job-trends/
.
[2]“SolarMarketInsightReportQ42024.”SEIA/WoodMackenzie,10Jan.2025,
/research-resources/solar-market-
insight-report-q4-2024
.
[4]“The2024PVModuleReliabilityScorecard”KiwaPVEL2024,
/
.
[5]“U.S.Billion-DollarWeatherandClimateDisasters”NOAANationalCentersforEnvironmentalInformation(NCEI),2025.
/access/billions/
.
CumulativeU.S.InstalledSolarCapacity,GWdc
+182%
200
150
100
50
0
2018
2019
2020
2021
2022
2023
2018
2019
2020
2021
2022
2023
+91%
000
000
000
000
000
0
25
20
15
10
5
,
,
,
,
,
U.S.EmploymentinSolarOperations&Maintenance,allfunctions(source:IREC)
RaptorMapsGlobalSolarReport:2025Edition10
Spotlight:OnlyaFractionofSolarJobsforMaintenance
U.S.SolarJobsbySector
300
250
200
150
100
5
,
,
,
,
,
,
000
000
000
000
000
000
0
Operations&Maintenance
AllOthers
WholesaleTrade&Distribution
Manufacturing
Installation&
ProjectDevelopment
20192020202120222023
[1]“NationalSolarJobsCensus”IREC,2024,
/census-solar-job-trends/
.
In2023,26%ofOperations&Maintenancejobswereinthe“Installation&Repair”category
Othercategories:
Management/Professional(29%)
Administrative(20%)
Sales(12%)
ProductionandManufacturing(8%)
AllOther(6%)
6%
12%
8%
29%
20%
26%
27%ofNewHiresinOperations&Maintenance
werebackfillsduetoChurn
27%
Othercategories:
43%
ExistingEmployeeAddsSolarResponsibilities(43%)
NewPositions(29%)
29%
RaptorMapsGlobalSolarReport:2025Edition11
In2024,Performance
IntelligenceIsBridgingPowerLossGaps
Lastyear,RaptorMapsidentifiedmorethan10.8millionDChealthissuesacross44uniquegigawattsofsolarassetsanalyzed,or249issuesperMWdc.Asmoresolarisinstalledandasubstantialportionofinstalledassetsage,assetmanagersandO&Mteamscontinuetofacethedifficultactofbalancingbetweencorrectiveand
preventativemaintenanceofDChealthissuesandbeyond.AccordingtoRaptorMaps,dataset,32%ofidentifiedissueswerecategorizedas“HighPriority”,accountingfor90%oftheobservedpowerloss.56%and12%ofidentifiedissueswere“LowPriority”and“MediumPriority”,respectively.Aerialinspectionsallowforrapiddiagnosingandgeolocatingofthose“HighPriority”issues,especiallythosecausingSCADAalerts,
providingthenecessaryintelligenceforeffectiveandefficientremediation.
Thedataemphasizesthecriticalityofmaintainingdetailedrecordsofsolarasset
performanceandsiteinfrastructureconditions.Whileaddressingimmediaterepairs
naturallydemandsattentionwhenresourcesarelimited,theanalysisrevealsthatnearly70%ofidentifiedissuesfallintomediumorlowprioritycategories,makingitvery
difficulttotrack,muchlessremediate,non-highpriorityissuesthatareatriskof
escalatingtolargerproblems-andwhichissuesarenot.Thisrealityhasledmany
organizationstoinvestincentralizedsystemsofrecordandmoreadvancedmethodsofcapturingdatatomaintaincleardocumentationofthesedevelopingissues,includingmorefrequentandtargetedinspections.
PrioritizingDCHealthIssues:Frequencyvs.PowerLossImpact
100%
80%
60%
40%
20%
0%
IssueFrequencyPowerLoss
Priority
Low
Medium
High
RaptorMapsGlobalSolarReport:2025Edition12
AShiftTowardsTargeted,RepeatedInspections
Thekeytoemployingperformanceintelligenceisprioritizingthehighest-impactissuesandleveragingdatatomakemoreinformedresourcingdecisions.Inlarge-scalesites
between50-200MW,low-prioritydefectscontributejust0.2kWofpowerlossperdefect,whereashigh-prioritydefectscause6-8kWofpowerlossperdefect.However,itis
importanttonoteforC&Iandsmallerutility-scalefarms,module-leveldefaultscancause15-20%ofpowerlossandarenotinsignificantwhenaddressingsiteperformance.GivencurrentlaborconstraintsandtighterO&Mbudgets,fixingeverydefectisneitherpracticalnorcost-effective.Savvyoperationsteamshavebeguntoshifttowardsdata-informed,targetedinterventionstorecoverpowerfasterwhileminimizingwindshieldtime.
Furthermore,industrydatareflectsashiftawayfromtreatingaerialinspectionsasisolatedassessmentsandratherasascalableapproachtowardspreventativemonitoring.Notably,someownersandoperatorshaveinternalizedthistrend,inspectingthesamesites70%
morein2024thanin2023.
Withagrowingvolumeofdefectstoremediateormonitor—estimatedatnearly249
defectsperMWperyearin2024—operationsteamsarefacinganoverwhelmingbacklogofissuestomanage,andincreasinginspectionfrequencyisnotviable.Thesetrends
highlighttheurgentneedfortechnologysolutionstoefficientlyidentify,prioritize,and
monitorissuesonsolarfarmswithoutmobilizingpersonnel.Asaresult,manyoperatorsareturningtonewtoolstosupportbalancingbetweenmonitoring,preventative,and
correctivemaintenance,ensuringthemostcriticalissuesareaddressedattherighttime.Software-enabledsensorsandon-siteroboticsprovidefrequent,autonomous,and
granulardiagnosesintositehealth.Thisallowsteamstobedeployedefficiently,ina
timelymanner,andonlywhenhumaninterventionisneeded—reducingunnecessarytruckrolls,automatingreports,andensuringtechniciansarrivepreparedwithclearguidanceandnecessaryequipment,ensuringtechniciansafetyandreducingtimespenton-sitepertask.
PowerLoss,bySeverity,bySiteSize
<5MW
5-10MW 10-20MW 20-50MW 50-100MW 100-200MW 200+MWDatasettotal
0%20%40%60%80%100%
IssueFrequency,bySeverity,bySiteSize
<5MW
5-10MW 10-20MW 20-50MW 50-100MW 100-200MW 200+MWDatasettotal
0%20%40%60%80%100%
Legend
Low
Medium
High
IssueFrequencyperMWdc
2024AveragebySiteSize
<5MW
5-10MW
10-20MW
20-50MW
50-100MW
100-200MW
200+MW
Datasetavg
0100200300400500
RaptorMapsGlobalSolarReport:2025Edition13
DifferentNeedsforDifferentFleets
Elevatedpowerlossfromequipmentissuescreatesdifferentchallengesandopportunitiesforeachsolarindustrysegment.Forexample,commercialandindustrial(C&I)siteslessthan5MWdcexperiencedanaverageof264identifiedDChealthissuesperMWdc,whichpresentssignificantlostrevenueriskwhenaggregatedatthefleet-level.WithC&Iand
communitysolarfleetstypicallyspreadacrossmanydifferentlocations,balancing
preventativeandcorrectiveeffortscanbecomedifficult,butwithoutthoseefforts,sitesriskhighermagnitudeeventssuchasfiresoroutages.
Inresponse,someassetownersandoperatorshaveunlockedeconomiesofscopeby
expandingthecapabilitiesoftheirteams.Forexample,severalofRaptorMaps’customershavetrainedtechnicianstoflydronesandself-performaerialdatacollection,enablinghighfrequencyperformanceinsightsontheirassetsandthereallocationoftechniciantime
previouslyspentonmanualinspectionstomoreimpactfulactivities.
Assitesgetlarger,thevolumeofdataandconditionsthatassetmanagersandO&M
teamsmustcareaboutincreasesexponentially,withmanyrequiringsomeformofmanualintervention.However,increasingportfolios,sitesizes,anddistancesfrompopulation
centershavemadeitdifficulttoconductalltheactivitiesundercontract.Asaresult,
RaptorMapshasobservedariseinautomationofmanyvisualinspectionactivitieswith
remotelyoperatedrobotics.Forexample,RaptorMapscustomersleverageremotely
operateddronesinstalledon-sitetoconductinvestigationsofalertsfromSCADAsystems,whichallowfortechnicianstobedeployedforremediationwiththerighttools,supplies,
anddata.Furthermore,usingremotelyoperatedroboticsasafirstmethodofresponse
reducestechnicianexposuretopotentiallyhazardousorhigh-voltagesituations,drasticallyincreasingsafetyandsupportingworkforceretentionefforts.
AutomatingGround
Inspections&SiteWalks
Remoteoperationsarenottheonlysolutiontopreservingtechniciantime--customersarealsowidelydeployingaerialinspectionsfornon-DChealthusecases.In2024,civilworksinspectionswerethemostpopulartypeofnon-DChealthinspectionanalyzedintheRaptorMapsplatform.Erosion/SWPPPandPerimeterInspectionsmakeupmorethanathirdofallnon-DChealthorders.Inaddition,SpecialtyCrackingInspections(e.g.forthedetectionofhairlinecracking)havealsogrownpopularasawaytomitigatetheriskoffireandgroundfaultsonutility-scalesites,makingup18%ofnon-aerial
thermographyinspections.
TypicalgroundinspectionsarebeingreplacedacrosstheentireO&Mecosystemandsteadilyincreasingincadenceaswell.Ownersandoperatorshavebeenincreasingtherateofaerialinspectionsontheirassetsovertime,withinspectionspersiterising70%from2023to2024.ThisincludesalltypesofinspectiontypesintheRaptorMaps
dataset.Historically,from2019to2023,ownersandoperatorstypicallyconductedanannualaerialinspectionwithanoccasionalmid-yearcheck-inafterabigstormor
performanceissues.
Morerecently,theevolvingneedsoftheassetownerhavedriveninspectioncadencesupdrastically.Technologyhasenabledtheon-demandcollectionandanalysisofdataat-scale,allowingformoreproactivemanagementofriskwhilereducingwhentruckrollsareneeded.Ownerscannowuseaerialinspectionsasapreventativemeasure,rather
thandeployingreactionaryinspections-especiallyonutility-scalesiteswheresiteriskscanexacerbateandbecomeverycostly.
/yrInspectionsperSite
70%Increasein
Breakdownof2024Non-Aerial
ThermographyInspections,bytype
Wiring
5%
Substation
9%
Vegetation
1%
Erosion/SWPPP
23%
P.O.I.*
12%
Cracking
18%
Perimeter
15%
Construction
17%
14
*P.O.I.-PointofInterconnection
RaptorMapsGlobalSolarReport:2025Edition15
ExampleofRiskManagementAnalyticsfromRaptorMaps
SubstationP0ThermalSignature
VegetationGrowthonCABLine
Erosion&WaterManagementIssues
Chapter2
ANATOMYOFPOWERLOSS
RaptorMaps’PowerLossdatasetmeasureslostcapacityduetoDChealthandotherequipment
issues.Whilesystem-levelfaultscontinuetocausethemostpowerloss,2024alsosawanincreaseinphysicaldamageandmodule-levelissues,whichpresentincreasedfireandpowerlossrisksthat
ownersneedtomanageacrosstheirfleet.
16
RaptorMapsGlobalSolarReport:2025Edition17
RaptorMaps,
PowerLossDataset
TheRaptorMapsdatasetcontains172GWofDChealth-drivenpowerlossanalyticsand21GWofrisk
managementanalytics(e.g.vegetationmonitoringorequipmentdefectdetection),taggedwithprecise
geolocationsofthedetectedissueandanactionablecategorizationofwhatthatissueis.Thefollowing
sectionprovidestrendsinwhatRaptorMapshas
detectedtobetheleadingdriversofpowerloss,
providingownersandoperatorswithbenchmarksfortheirownassets.
ForthepurposesoftheGlobalReport,similaranomalytypesweregroupedintocategories,suchasthe“Diode”categoryforboth“Diode”(typicallyimpacting1/3ofthemodule)and“DiodeMulti”(typicallyimpacting2/3ofthemodule)anomalies.
RaptorMapsanalyticsalsoutilizes
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