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AutomotiveLIDAR
Market:Competitive
Dynamics,Technology
Evolution,andRevenue
Trends
AutomotiveLiDARconference2023,October3-5
PierrickBoulay,SeniorAnalyst
INTELLIGENCETOSHAPEYOURTOMORROW
||©YoleIntelligence2023
AGENDA
1.Context
2.Integrationinpassengercars
3.Partnershipsandsupplychain
4.Marketview
5.Partnershipsandsupplychain
6.Technologytrends
7.Conclusion
AutomotiveLiDAR2023|Conference||©20232
CONTEXT
AdaptiveCruiseControl
AdaptiveCruise
Controlwith
Stop&Go
The
combinationofmultiple
sensorsisthebasisof
advanceddriving
functionalities.
Traffic-JamAssist
ALKS
<130km/h
Future
functionalities…
LKA&LCA
LaneKeepAssist
Howautomateddrivinghasbeenachieved
ALKS
<60km/h
Automateddriving
AutomotiveLiDAR2023|Conference||©20233
CONTEXT
Eyes-offapplications:anincrementalevolution
Usecases
202220242026-2028?2030-2035?2035-2040?2040-2050?
Highway
60km/h
Highway
130km/h
Highway
On-/Offramp
Arterial
Junctionsandtrafficlights
Rural
Alljunctions
Urban
Fullautonomy
Eachusecaseisanincrementalevolutionenabledbyanewgenerationofhardware(sensorsandcomputing)andsoftware.
Sensors
Computing
Sensors
Computing
Sensors
Computing
Sensors
Computing
Sensors
Computing
Sensors
Computing
Eachusecaseisenabledbyanew
generationofsensors.A
goodexampleistheValeo
Scala2,whichenables
applications
upto90km/h,
whiletheScala3enables
applicationsupto130
km/h.
Scala3
Scala2
Example:
AutomotiveLiDAR2023|Conference||©20234
5
AutomotiveLiDAR2023|Conference||©2023
CONTEXT
Necessaryhardwareforeyes-offapplications
EYES-OFF
Newsensorgeneration
Urban
Rural
Arterial
HW-ramp
HW-130kphHW-60kph
HANDS-OFF
Camera
rTesla
promises
Complexityisfollowingalogarithmicscale
Newsensorgeneration
Necessaryhardwaretoreach
advancedeyes-offapplications
87111113162025Sensors
Radar05566566
LiDAR01343344
The
complexityofeyes-off
applicationsisfollowingalogarithmicscale.
CONTEXT
OEMchoices:Electrification,automateddriving,orboth?
China'splantoinvestinEVtechnologies
startedintheearly2000s.Between2009
and2022,thegovernmentpouredover$29
billionintorelevantsubsidiesandtax
breakstohelplocalOEMstransitionfrom
ICEtoEV.Foradecadenow,newOEMs
haveemergedaspureEVplayers.Afterthe
EVtransition,theyarenowreadytopush
forautomateddriving.
EuropeanandUSOEMsarestartingthis
transitionwithincentivesandregulations
pushingthetransitionfromICEtoEV.This
meansthatOEMswillfacepenaltiesorbe
unabletosellcarsiftheyarenotpureEVs.
So,withthedevelopmentofautomated
drivingfeatures,mostOEMshaveto
makesomechoicesasthetransitionwill
beassociatedwithahighdevelopment
cost.FewOEMs,likeMercedes,Volvo,and
Cadillac,aredevelopingbothfeatures,but
thisislimitedtohigh-endvehiclesata
highsellingprice.
Time
AutomotiveLiDAR2023|Conference||©20236
Chinese
OEMshave
alreadymadetheEV
transitionallowingthemtointegrate
more
automateddriving
features.
CONTEXT
Passengercarmarket:distributionofcarswithLiDAR(2018-2022)
Startingprice
$100,000
$75,000
$50,000
Carsegment
E-FsegmentsarewhereADASinnovationsareinitiallyintroduced.Then,ADASsystemsprogressivelyspreadintoothersegments.
Source:CarsegmentclassificationfromMarklines
FirstcarswithLiDARwerein
theF-
segment.In2022,severalcarswith
LiDARare
nowintheD-segment,
withamuchlowerprice.
7
AutomotiveLiDAR2023|Conference||©2023
INTEGRATIONINPASSENGERCARS
EvolutionofLiDARposition
LiDARposition
Usecase
Limitedtohighwaysataspeedupto60km/h.
Noneedtoseefar
away.
Stoppingdistanceis
36mat60km/h.
TypicalLiDARposition:grilleorbumper
Limitedtohighwaysataspeedupto130km/h.
Needtoseefaraway(~200m).
Stoppingdistanceis170mat130km/h.
Goodpositiontoseeovertheroadseparationtodetectcarson
acurve.
TypicalLiDARposition:rooforbehindthewindshield
Withhigherspeeds,increasingthedetectionrangeisnecessary,aswellastheverticalresolution,inordertoidentifymorerapidlyothercarsaswellasotherobjectsontheroad.Thisdirectlyimpactsthebehaviorofthecarinautomateddrivingmode.
Toenable
highway
drivingat
130km/h,
thereisa
criticalneedtoimproveLiDAR
performance,especiallythedetection
range.
AutomotiveLiDAR2023|Conference||©20238
INTEGRATIONINPASSENGERCARS
position–Caseof
highway
ON/OFF
Ramp
on
EvolutionofLiDAR
LiDARpositionUsecase
Inthecaseofhighwaydrivingwithon/offramps,therewillbeaneedtoaddmultipleLiDARsaroundthevehicle.
Short-rangeLiDARswillbeneededonthesidestomonitorotherroad
users.
TherearLiDARcouldbemid-tolong-rangetomonitoron-comingcarsin"On-ramps.”
Typicallong-rangeLiDARposition:rooforbehindthewindshieldforhighwaydriving.
Typicalshort-rangeLiDARposition:fender,B-pillar,orroof.
Ontherearside,therangehasstilltobedefined,asamid-tolong-rangeLiDARcouldbeintegrated.TheLiDARcouldbe
integratedonahighmountingposition(rooforrearwindow)oronthebumper.Nonetheless,ahighermountingpositionwouldenablebetterdetectionofobjectsandusers.
Enabling
On/OffRampusecasemayrequireuptothree
additionalLiDARsina
car
AutomotiveLiDAR2023|Conference||©20239
INTEGRATIONINPASSENGERCARS
#ofLiDARs
6LiDAR
5LiDAR
Legend:4LiDAR
eLong-rangeeShort-range
3LiDAR
2LiDAR
1LiDAR
NumberofLiDARspercar:robotaxivs.passengercarcomparison
Eyes-offurban
Robotaxi~5-6LiDAR
Robotaxi~5-6LiDAR
<$6-7kofLiDARperrobotaxi
$15-20kofLiDARperrobotaxi
<$1,000
LiDAR
Eyes-offhighway
Passengercar:~1-2LiDAR
per
Passengercar:~3LiDAR
<$1,000of
LiDARpercar
2026e2028e2030e2032e
2018202020232024e
AutomotiveLiDAR2023|Conference||©202310
INTEGRATIONINPASSENGERCARS
LiDARvolumevslocation
Height(cm)
ThelocationofLiDARisrelatedtotheusecasesdevelopedbytheOEM.ButotherparameterslikevolumeandheightoftheLiDARcanenterintoconsideration.
High-volumeLiDAR,especiallythosebasedonfiberlasers,aretoobulkytobeplacedinlocationsotherthantheroof.
Forapositionbehindthewindshield,recentresearchfromCeptonandHesaishowsthatthevolumeneedstobelimited,aswellastheheight,toavoidobstructingthedriver’svision.
Duetotheircompactsize,LiDARsfromRoboSenseorHesaicanbeplacedeitherinthegrille,behindthewindshield,orontheroof.
LiDARvolume
INNVIZ
Bum
per
DESO
Grille
Roo
f
InnoFusion
LUMINAR
INNVIZ
9
8
7
6
5
4
3
2
1
0
05001000150020002500
Volume(cm3)
Windshield
Headlamps?
LiDARplacedbehindthe
windshield
needstobecompactandtohavealowheight.
AutomotiveLiDAR2023|Conference||©202311
PARTNERSHIPSANDSUPPLYCHAIN
Supplychainforpassengercarsanalysis:knowndesignwinssince2018(totalof144)(1/2)
Designwins-Splitbycountryoforigin
Therearetwomarkets:
Chinaandtherestofthe
world.
Chinese
OEMsareadoptingLiDARataveryrapidpace.
Designwins-SplitbyLiDARsupplier
JPIS1%3%
Innoviz2%
Cepton1%
Opsys
Technologies
DE
3%
Huawei2%
DsoConteIolLx
1%
US6%
FR8%
Innovusion5%
Valeo8%
Robosense43%
CN79%
Hesai31%
•RoboSenseandHesaihaveacumulative74%ofthedesignwins.ThatillustratestheintensedriveofChineseOEMsandhowquicklytheyareimplementingLiDARcomparedtotherestoftheworld.
•Valeohas8%ofthedesignwins.ThatdoesnotreflecttherealityastheyhavepartneredwithvariousOEMsformultiplecarmodels.ItisthecaseforStellantis;ithasbeencountedasonedesignwin,butmanycarmodels,numberunknown,willuseLiDAR.The1-billion-dollarcumulativeorderfortheScala
3bearswitnesstotheexcellentshapeofValeo.
•AsimilarunderstandingcanbemadeforInnovizwithVW;manycarmodelsareexpectedtoembedLiDAR.
AutomotiveLiDAR2023|Conference||©202312
PARTNERSHIPSANDSUPPLYCHAIN
Supplychainforpassengercarsanalysis:knowndesignwinssince2018(totalof144)(2/2)
Designwins-Splitbywavelength
Whilethe
905nm-basedLiDARshareisstill
increasing,
MEMS
technologyisalmostatthesamelevelashybridsolid-stateLiDAR.
Designwins-Splitbytechnology
1064nm885nm2%1%
1550nm8%
Flash5%
905nm89%
HybridSolid-
State
51%
MEMS44%
•905nm-basedLiDARclearlydominatesthemarket.LiDARperformanceatthiswavelengthisstillimproving,bothontheemittersidewithEELsorVCSELsandonthereceiverside,whereSiPMsandSPADsarereplacingAPDs.
•SomenewLiDARsuse940nminsteadof905nm,butthisslightshiftinwavelengthisnotsignificantenoughtodrasticallychangetheLiDAR'sperformanceortheunderlyingcomponents.
•Regardingimagingtechnology,MEMSandhybridsolid-statearealmostatthesamelevel.TheshareofMEMS-basedLiDARisduemainlytoRoboSense,oneoftheonlyplayers-withInnoviz-tousethistechnology.
AutomotiveLiDAR2023|Conference||©202313
MARKETVIEW
2022passengercarLiDARmarketshare
•TheLiDARmarketforpassengercarsincreasedrapidlyfrom2021,witha285%growth.
•Sinceitsinception,thepassengercarmarkethasbeendominatedbyValeo,withpartnershipswithEuropeanOEMslikeAudiandMercedes.
•Innovusion,aChinesesupplier,isleadingthemarketthankstoitspartnershipwiththeChineseautomakerNio.
•ChineseOEMsarerapidlyimplementingLiDARandareusinglocalsuppliers.
•Intotal,ChineseLiDARmanufacturerscontrol73%ofthemarket.
•AsHesaiandRobosensehavemanydesignwins,their2022revenueshouldbesignificantlyhigherastheyaresupplyingOEMswithB-samplesandC-samplesforproductionvalidation.
PC&LCVLiDARmarketshares-2021(Inner)vs2022
(Outer)
Others
3%
Livox8%
Innovusion28%
6%
Inner:$44M
Outer:$169M
79%
Valeo24%
Hesai23%
8%
7%
Robosense14%
Innovusion,Valeo,Hesai,
and
RoboSenseareleadingtheLiDARmarketforautomotive.
AutomotiveLiDAR2023|Conference||©202314
106carmodelstobe
releasedwithLiDARbyChineseOEMsin2023orsoonafter.
MARKETVIEW
LiDARmarketdynamics
6+carmodels*withLiDARtobereleased
byEUOEMsin2023
orsoonafter.
3+carmodels*with
LiDARtobereleased
byUSOEMsin2023or
soonafter.
lnnoFuson
LUMINAR
ontinental⃞
INNVIZ
DENSO
4+carmodels*with
LiDARtobereleased
byJapaneseand
KoreanOEMsin
2023orsoonafter.
*FortheseOEMs,designwinsaremostlyrelatedtoacarplatformratherthanadedicatedmodel.
7
RestoftheworldLiDARASP:~$800-$1,000
ChineseLiDARASP:~$600-$800
Therearetwodistinct
LiDAR
markets:
Chinaandtherestofthe
world(RoW).
AutomotiveLiDAR2023|Conference||©202315
MARKETVIEW
OverviewofPC&LCVandrobotaximarkets
TheLiDAR
marketforPC&LCVand
robotaxisis
expectedtoreach$4.5Bin2028witha55%CAGR
from2023.
2028
PC&LCVLiDARRobotaxiLiDAR
$3,920M
$557M
CAGR:25%
CAGR:69%
2022
$4,477M
CAGR22-28:55%
$147M
$169M
$317M
AutomotiveLiDAR2023|Conference||©202316
PARTNERSHIPSANDSUPPLYCHAIN
Supplychainforpassengercars:LiDARshipmentsin2022
~225,000LiDARswereshippedinpassengercarsin2022
Thebigfour
are
composedofInnovusion,Valeo,Hesai,and
RoboSense.
InnoFusion
25%
25%
24%
Lastyear,wewereexpectingthatValeoleadershipin2022.Theyareranked2nd,butvolumewithInnovusionisnotsignificant.
12%
wouldkeepits二
thedifferencein10%
1%l1%l 1%
ThankstoitspartnershipwithNio,withLiDARmountedinseries,Innovusionputmorethan50,000unitsontheroadin2022.
ontinental⃞
others
Hesaiisdirectlyenteringthemarketin3rdpositionthankstopartnershipswithlocalOEMs.
<1%
RoboSenseisalsoasignificantplayer,with12%ofthemarketin2022.
Livox’smarketsharewas10%in2022,thankstotheXPengP5.ThefuturemaynotbebrightasXPengchoseRoboSenseforitsfollowingcarmodels.
AutomotiveLiDAR2023|Conference||©202317
PARTNERSHIPSANDSUPPLYCHAIN
~632,000LiDARsareexpectedtobeshippedinpassengercarsin2023
In2023,themarketis
expectedtoincreasebyafactorof2.7.Thebigfourarestillthe
samebutinadifferent
order.Hesaicouldleadthemarket.
InnoFusion
Supplychainforpassengercars:Whatcanweexpectfor2023?
41%
29%
12%
10%
4%
1%1%
1%<1%
In2023,weexpectabigpushbythetwoleadingChineseLiDARmanufacturers,HesaiandRobosense,thathavesignedpartnershipswithmanyOEMsonmultipleplatforms.Thetwocompaniescouldship68%ofthetotalnumberofLiDARsforpassengercars.
InnovusionhasonlypartneredwithNio,sovolumescannotgrowasrapidlyastheleadingplayers.
INNVIZ
ValeowillexpectnewshipmentstoKiaandHyundai,butitshouldbelimitedtohigh-endcarsand,therefore,inlimitedvolumes.
Others
CeptoncouldmakeitsentrywithGMandInnovizwithBMW;after
severaldelays,theycouldseeinitialvolumes.
Luminar,amongothers,isstillnotshippinginhighvolumes,astheVolvoEX90hasbeendelayeduntil2024.
AutomotiveLiDAR2023|Conference||©202318
PARTNERSHIPSANDSUPPLYCHAIN
Cumulatedvolumes:adifferentvisionofthemarket
Volume(units)
CumulatedLiDARvolumesforautomotive,2018to2022
250,000
200,000
150,000
100,000
50,000
-
•WhenlookingatcumulatedLiDARvolume,thereisacleardifferencebetweenthefirstplayer,Valeo,andtheothers.ValeoisbenefitingfrompartnershipswithAudi,Honda,andMercedes.
•Since2018,Valeohasshippedcloseto200,000LiDARunits,amixtureofgenerations1and2oftheScala.
•Followersarenewcomers,astheyhaveonlybeenshippingsince2021,atbest.Inthiscategory,Innovusion,Hesai,RoboSense,andLivoxhaveshippedbetween27,000and57,000LiDAR.
RegardingcumulatedLiDAR
volumes,
Valeoisstill,byfar,theleader.
AutomotiveLiDAR2023|Conference||©202319
PARTNERSHIPSANDSUPPLYCHAIN
ContinentalislicensingthetechnologyfromAEye.A
SOPisscheduledfor2024.
Recentpartnershipsforpassengercars
ontinental⃞
BarajapartneredwithVeoneer.AnSOPisscheduledfor
2024/2025.
Multiplepartnershipswithheadlampmanufacturers
havebeenmaderecently.Thesemayberelatedto
integrationinheadlampsbutalsotomanufacturing
LiDARsensors.LiDARmanufacturerscouldbelooking
forpartnersthathavemasteredautomotive-grade
products.
LUMOTIVE
Theroofisanattractivepositionfordetecting
objectsatalongdistancewithoutbeingblinded
byothercars.RoofsupplierWebastoGroupSEis
developinganewsolutionstointegrateLiDAR
andpossiblyothersensorsinthisposition.
I-)ebasto
Source:WebastoGroupSE
Apositionontheroofis
promising,asseeninmany
newcar
releases.
AutomotiveLiDAR2023|Conference||©202320
TECHNOLOGYTRENDS
Numberofsensorscomparison(camera,radar,LiDAR)
Theraceforadvancedeyes-offapplications
39
24
19
18
13
MercedesS-ClassWaymo4thGenXPeng-G9BYD-YangWangU8Waymo5thGen
•Oneofthefirstcarswitheyes-offfunctionalitywastheS-Class,releasedin2021with13sensorsembedded.
•TheXPengG9,producedin2022,with19sensors,wasthefirstunmodifiedEVcarqualifiedforautonomousrobotaxitesting.
•ThiscarembedsmoresensorsthantheWaymo4thGencarsthatwererobotaxisinoperationintheUS.
•ThecarhasreceiveditstestingpermitfromtheGuangzhouMunicipality.
•TheBYDYangWangU8,scheduledin2023,willembedevenmoresensors,24intotal.ThisshowshowfastChineseOEMsaremovingtowardautonomousdriving.
AutomotiveLiDAR2023|Conference||©202321
TheXPengG9isthefirst
unmodifiedcartobe
qualifiedforautonomousrobotaxi
testing.
TECHNOLOGYTRENDS
LiDAR
OEMsManufacturers
Playersegmentation
Mechanical
HybridSolid-State
FullySolid-State
360°mechanicalspinning
1DScan
2DScan
Optical
(someofthese
systemsmayneeda
mechanical
scanningsystem)
Flash
Individuallyaddressable
Polygonmirror
Other
MEMS
Polygon+Galvo
Prisms
经surestar
INNVIZ
LUMINARInnoFuson
Liowave
cruise
vEY
EAamoroa
Barajahasan
advanced
development
agreementwith
anOEM
田TOYOTA
6Gacoror
TheInnovThissho
izTwomayabandouldberelatedtovi
nMEMStechnologybrationissues,pro
anduseapolyductionandcalib
gonmirrorinstead.rationchallenges.
AutomotiveLiDAR2023|Conference||©202322
AndmoreAndmore
TECHNOLOGYTRENDS
Oncea
sufficientlylongrangeisachieved,
LiDAR
manufacturerswillfocuson
sensorpricereduction.
•Inthecurrentdevelopment
roadmap,LiDARmanufacturersaremainlyfocusingonreachingthelongestrangerequiredbyOEMs,around200-250mforhighwaydriving.
•ThefirstgenerationsofLiDARhaveastablepriceasmoreperformant
componentsareembedded.
•Oncetherangeandresolutionneedsareachieved,LiDARmanufacturerswillbeabletofocusonpricereductionofthe
Gen2
Gen32024
Price$1,000
AutomotiveLiDARdevelopmentroadmap
2021
2018
Gen1
Scala1
Scala2
InnoFusion
Focusonrangeandresolution
Scala3Gen4
Gen52025
Focusonpriceandvolume
250m
Range&resolution
SomenewplayerslikeHesaiorInnovusion,aredirectlyenteringthemarketwithaGen2LiDAR.Withanaggressiveproductdevelopment,theirnextgenerationcouldjumponegenerationandseeastrongpricereduction.
sensor.
AutomotiveLiDAR2023|Conference||©202323
TECHNOLOGYTRENDS
Source:RoboSense
Thetypicalpositionofshort-rangeLiDARwillbeonthesideofthecar,andthefendercouldbeusedbymanyOEMs.ThisisalreadythecaseforLexuswiththeContinentalFlashLiDAR.Thegoalistodetectsmallobjectsclosetothecar.
Intermsofdrivingfunctionality,citydrivingisacleartargetwithapplicationslikeovertaking,parking,andunprotectedleftturns,amongothers.
ButsuchausecasemightbetooearlytoimplementforOEMs,andthepenetrationrateofthisLiDARisexpectedtoremainlowforthenextfewyears.
ThetypicalarchitectureoftheseLiDARswillbethecombinationofaVCSELarraywithaSPADarray.
TherecentreleaseoftheSonySPAD(IMX459),witharesolutionofaround100,000pixels,isundoubtedlyoneoftheenablersofthecurrentflashLiDARreleasedbyHesaiandRoboSense.
Incombinationwiththat,VCSELarraysusingmulti-junctiontechnology,whereahigheroutputpowerwithinthesamesurfacecanbeobtained,isanotherenablerofflashLiDAR.
Source:Hesai
PassengerLiDARcomparisonchart–Short-range
Model
Channels#
Range(m)(reflectivity)
Points
frequency(pts/sec)
FOV(°):HxVResolution(°):
HxV
Power(W)
Dimensions
(W-D-H)
Availability
HFL110v
FT120
RS-LiDAR-E1
Flash
Flash
Flash
50m
30m(10%)
30m(10%)
102,400
192,000
276,480(10Hz)
120x30
100x75
120x90
0.9x0.9
0.6x0.6
0.6x0.6
15
-
15
120x100x65
-
95x46x70
Available
Q3-2023
Q3-2023
AutomotiveLiDAR2023|Conference||©202324
TECHNOLOGYTRENDS
Conclusions–Imagingtechnologyandwavelength
Inthenext
tenyears,oneofthemain
technologyevolutionsisexpectedontheimagingside.
Imagingtechnology-2033
Optical
Imagingtechnology-2023FlashOptical
2%0%
•
4%
Inthenexttenyears,themainchangescouldberelatedtoimagingtechnology.
•
MEMS30%
Flash33%
Hybrid
Solid-State
56%
Hybrid
Solid-
State
68%
Since2018,thevastmajorityofLiDARshavebeenmechanical-basedduetotheirrelativelylowcostandbecausetheyprovidegood-enoughperformance.
MEMS
•
7%
Wavelengthchoice-2033
Wavelengthchoice-2023
SWIR16%
NIR84%
SWIR14%
NIR86%
Flashimagingtechnologycouldrapidlyincreasetoenablefullysolid-stateLiDARwithahighsemiconductorintegrationandcontributetoafastdecreaseofMEMStechnology.
•
Inthelongterm,technologicalchoiceswillhavetobemadetobealignedwithmass
production,lowcost,andhighperformance.Inthiscontext,webelievethatflashand
NIRwavelengthcouldbedominanttechnologies.
Thewavelengthchoiceisnotexp
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