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26July2021
Focuschartsandtable
Figure2:Homeimprovementspendingpercapitastill
Figure3:ASEANhomeimprovementcounterpositionings
considerablylowforASEANcountries
(US$)
1,200
1,000
1,000
800
600
400
390
310
220
200
196
200
120
110
37
29
12
9
5
0
Source:Companydata,CreditSuisseestimates Source:Companydata,CreditSuisseresearch
Figure4:HomeimprovementretailspacepercapitalikewisestillhasroomforupsidewithinASEAN
(squarefeetpermillionpeople)
10.0
9.0
8.0
7.0
6.0
5.0
4.0
3.0
2.0
1.0
0.0
SingaporeIndonesiaPhilippinesVietnamMalaysiaThailand
Japan
Australia
USA
UK
Source:Companydata,CreditSuisseestimates
Figure5:RevenuepersqmvscapexcostpersqmforASEANhomeimprovementstocks
4,000
3,500
HMPRO
DFI
3,000
sqm
2,500
per
inUSD
2,000
Revenue
1,500
MRDIY
ACES
WLCON
1,000
HOME
GLOBAL
500
0
0
10
20
30
40
50
60
CAPEXinUSDpersqm
Source:Companydata,CreditSuisseestimates
Figure6:HomeimprovementmarketgrowthlikelybetoledbyIndonesiaandthePhilippinesoverthenextfiveyears
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
IndustrysizeinUSDmn
Indonesia
2,140
2,383
2,604
2,848
3,137
3,002
3,334
3,721
4,233
4,801
5,423
Malaysia
1,041
1,084
1,156
1,196
1,231
1,099
1,128
1,167
1,212
1,260
1,311
Philippines
771
785
813
879
925
736
808
888
976
1,072
1,176
Singapore
167
167
166
167
167
160
165
168
171
175
178
Thailand
1,600
1,676
1,752
1,842
1,932
1,693
1,860
1,973
2,079
2,184
2,291
YoYGrowth
Indonesia
2.2%
11.3%
9.3%
9.4%
10.1%
-4.3%
11.0%
11.6%
13.8%
13.4%
12.9%
Malaysia
3.8%
4.1%
6.6%
3.5%
2.9%
-10.7%
2.6%
3.5%
3.9%
4.0%
4.0%
Philippines
1.6%
1.9%
3.5%
8.1%
5.2%
-20.4%
9.8%
9.9%
9.9%
9.8%
9.7%
Singapore
0.8%
-0.5%
-0.4%
0.4%
0.1%
-3.9%
3.1%
1.7%
2.0%
2.0%
2.0%
Thailand
3.9%
4.7%
4.6%
5.1%
4.9%
-12.3%
9.8%
6.1%
5.4%
5.0%
4.9%
Source:Euromonitor
ASEANLiving
2
26July2021
Aprimeronhomeimprovement
Afast-growingretailcategory
WebelievestructuraltrendsarecompellingandshouldserveastailwindsfortheASEANhomeimprovementsector.Apositivedemographicprofileandrisingdisposableincomesshouldbothcontributetofurthergrowth.Inadditiontothis,theCOVID-19pandemichasbroughtupatrendofurbanflightanddecentralisation,whichshouldultimatelyacceleratethegrowthofurbanisationinASEANcountries.Workingfromhomeandthedigitalisationoftheworkplacecontinuetogainwiderscaleadoptionasafeasibleservicedeliverymodel,whichweseeasbenefitingthehomeimprovementsector,asmoreindividualsspendlongertimeathome.
Movingforward,webelievethesectorwouldneedspecialisedandsophisticatedfulfilmentinfrastructure,andtheprovisionofrobustonlineguidedselling/supporttocontinuegrowing.ASEANplayersarecurrentlylookingtobuilduptheiromni-channelplatforms,orlaunchtheirownonlinesellingportal(ACES’sRorHOME&Wilcon’sonlineportals).
ASEANhomeimprovementisunderpenetrated
TheASEANhomeimprovementsectorisa~US$6.7bnindustrythatisrelativelyunderpenetratedandhasamplegrowthopportunities.ASEANhomeimprovementspendingpercapita(US$61/capita)isathirdoftheAsianaverage(US$157/capita)andlessthanatenthofUSspending.AmongstASEANcountries,itseemsthespendingpercapitaishigherforSingaporeatUS$220/capita,followedbyMalaysiaatUS$37/capita,ThailandatUS$29/capita,thenIndonesiaandthePhilippinesatUS$12/capitaandUS$9/capita,respectively.Weseethesectordeliveringafive-yearCAGRof~9%to2025E,drivenbyIndonesiaandthePhilippineswhichareexpectedtohaveCAGRsof~13%and~10%,respectively.
Countryoutlookandcompetitivelandscape
InMalaysia,thehomeimprovementsectormadeupasmall3.1%oftotalretailsalesin2020,butisexpectedtooutpacetheoverallretailindustry'sgrowthoverthenextfiveyears.Theexpansionoftheoverallretailspacehasbeenakeycontributortogrowth.ForThailand,webelievetheindustryisinthemid-stageofitsgrowth.Weexpectthespendingmomentumtoaccelerateinthenextseveralyearsonthebackofsomebehavioralshifttowardmoreat-homeactivitiesandpent-updemands.Omni-channelexpansionhasbeenakeythemeinThailandwithmajorplayerslikeHMPROseeingsignificantomni-channelgrowth.InIndonesia,growthhasbeendrivenbyrelativelylowhomeownershipinIndonesia.Weexpectthegrowthtocontinuethisyear,asstructuraldriversremainintact.InthePhilippines,wehavebeenseeingarecoveryinsalesforhomeimprovementcountersaslockdownrestrictionscontinuetoease.Weexpecttoseecontinuedhousingmarketgrowthanddecentralisationtohelpdrivegrowthinthelongrun.Finally,inSingapore,growthmorethandoubledinthefirstthreemonthsof2020,broughtonbySingaporeanssettinguphomeofficesinresponsetothecoronavirusoutbreak.
Homeimprovementinthelimelight
Thesectorhasbeengaininginterest,asithasbeenseenasakeybeneficiaryoftheCOVID-19crisis,withmorepeoplespendinglongertimesathome.Movingforward,webelievethekeydriverstowatchoutforarenewandmeaningfulstoreopenings,healthysamestoresalesgrowthwhichshouldacceleratefromalowbasein2020,andmarginimprovements.OurtoppickswithinASEANincludeMRDIinMalaysiaandACESinIndonesiafortheirstronggrowthandreturnprofiles.WealsolikeHOMEinthePhilippines,HMPROinThailand,andDFIinSingapore.
ASEANLiving
WebelievestructuraltrendsarecompellingandshouldserveastailwindsfortheASEANhomeimprovementsector
Webelievethesectorneedsspecialisedandsophisticatedfulfilmentinfrastructuretocontinuegrowing
TheASEANhomeimprovementsectorisa~US$6.7bnindustrythatisrelativelyunderpenetratedandhasamplegrowthopportunities
OurtoppicksincludeMRDI,ACES,HOME,HMPRO,andDFI
3
26July2021
Peervaluations
Figure7:ASEANhomeimprovementandAPACretailvaluations
Name
Rating
TP
U/D(%)
Marketcap
EV
P/E
ROE(%)
3YCAGRs2019-22E(%)
(US$mn)
(US$mn)
2020A
2021E
2022E
2020A
2021E
2022E
Revenue
EBITDA
Income
ASEANHomeImprovement
AceHardwareIndonesia
O
1560
17%
1,574
1,416
28.0
27.2
21.1
15.6
15.2
17.4
4.1
n.m.
1.4
DairyFarmIntl
O
5.3
30%
5,506
6,323
20.0
17.2
13.4
23.2
25.6
30.0
0.2
5.1
8.7
SiamGlobalHousePCL
O
28.5
20%
3,329
3,803
56.0
38.6
33.7
11.5
15.0
15.6
6.6
14.1
15.8
HomeProductsCenterPCL
O
18
31%
5,476
5,966
35.0
29.0
25.3
23.8
26.8
28.9
1.1
3.5
4.9
AllHomeCorp.
O
10
31%
569
663
29.0
21.8
17.3
7.4
9.6
11.1
13.7
9.5
16.4
MR.D.I.Y.Group
O
4.5
29%
5,187
5,463
65.0
40.3
33.0
38.5
47.3
44.8
27.4
23.8
24.0
WilconDepotInc.
O
24
18%
1,660
1,762
57.6
37.9
29.1
9.5
12.4
14.3
11.4
13.0
10.5
Average
3,329
3,628
41.5
30.3
24.7
18.5
21.7
23.1
9.2
11.5
11.7
AsiaRetail
GSRetail
O
45,000
27%
3,237
4,068
22.1
24.0
17.8
7.3
6.1
7.5
3.2
5.0
16.2
LotteShopping
U
96,000
-13%
2,718
9,199
n.m.
19.3
12.1
-8.6
1.4
2.3
n.m.
2.7
n.m.
E-MARTCo.Ltd
O
230,000
45%
3,842
5,867
11.9
12.6
11.0
4.1
3.7
4.1
10.4
15.1
19.6
BGFRetail
O
200,000
19%
2,533
2,471
23.7
19.2
15.1
18.2
17.5
17.5
6.4
7.7
8.5
CentralRetailCorporationPCL
O
42
33%
5,774
9,088
n.m.
47.6
21.9
-1.1
7.3
14.2
5.2
14.1
6.0
MatahariDepartmentStore
U
1,505
-19%
338
373
n.m.
16.4
8.3
-150.3
33.9
40.2
n.m.
n.m.
n.m.
MAPActive
O
3,000
79%
330
323
725.8
31.3
10.2
0.2
4.9
13.4
2.0
n.m.
n.m.
MitraAdiperkasa
O
950
47%
739
745
n.m.
52.2
13.6
-13.1
4.6
15.2
3.1
n.m.
n.m.
PuregoldPriceClub,Inc
O
48
22%
2,266
1,831
14.1
13.8
12.1
11.7
11.2
11.7
7.6
8.7
11.7
RamayanaLestariSentosa
N
650
4%
306
195
n.m.
126.1
13.2
-3.4
0.9
8.2
n.m.
n.m.
n.m.
RobinsonsRetailHoldings,Inc.
O
79
49%
1,617
1,372
23.3
18.2
15.7
4.7
5.8
6.4
2.6
n.m.
4.4
Average
2,208
3,416
159.5
36.3
13.5
-13.5
9.2
13.4
5.4
8.9
12.4
Source:Companydata,CreditSuisseestimates
ASEANLiving
4
26July2021
Afast-growingretailcategory
Demographicadvantagestodrivegrowthforyearstocome
Demographicsisoneofthe"bigpicture"themesthathasanenormousimpactontheworld'seconomicgrowthpatterns.Andinthecomingdecades,itisgoingtodrivegrowthinanumberofASEANcountries.PopulationgrowthisexpectedtoaccelerateinmanyASEANcountriesandinturndrivelong-termeconomicgrowth.IndonesiaandthePhilippinesstandoutwithfavourabledemographicstructureswhereintheirpopulationstructurehas64%ofpeopleintheeconomicallyactiveagebracketandlessthan10%ofthepopulationagedabove60years.Bothcountriesarealsoseeinganaveragepopulationgrowthof1.3-1.8%p.a.TheseallowIndonesiaandthePhilippinestoenjoyademographicdividendviaahigherproportionofhouseholdconsumptionandfastereconomicgrowth.ThePhilippinesenjoysanedgeoverIndonesiagivenitslowermedianage,slightlyfasterpopulationgrowthandexpansionofworkingpopulationthrough2040.Conversely,ThailandandMalaysiahaveagingpopulations,withcloseto20%alreadyinthe>60yearsoldandupsegment.Malaysia'spopulationgrowthrateslowingtoalow0.4%,withthoseaged60andabovegrowingfrom2.5mnin2019to3.4mnin2020andcomprising10.7%ofthepopulation.ForSingapore,residentsaged60yearsandabovemadeup23%ofthetotalresidentpopulation.
Figure8:DemographicsdriveASEANgrowth
Demographicsisoneofthe"bigpicture"themesthathasanenormousimpactontheworld'seconomicgrowthpatterns
Source:Euromonitor
Figure9:MedianageofASEANcountries
40
35
30
25
20
15
10
5
0
Laos
PhilippinesCambodiaMyanmar
Malaysia
Brunei
Indonesia
VietnamSingaporeThailand
Source:Euromonitor
ASEANLiving
5
26July2021
HigherGDPpercapitatodrivehomeimprovementspending
HigherGDPpercapitaleadstohigherimprovementspendingpercapita,anaturalrelationshipasconsumersspendmoreastheyearnmore.AkeyobservationdrivenbyhistoricalanalysisofthedevelopmentofthepatternsofconsumerspendingamongevelopedmarketssuchastheUS,FranceandSingapore,washowamovetowardsandbeyondlevelsofGDPpercapitaofUS$5,000markedapointofacceleratingspendingondiscretionaryproductsuntilitreachestheUS$10,000level.Asthechartbelowshows,thePhilippinesisinafavourablepositionintheS-curve,asitslowlyapproachesthesweetspot.
HigherGDPpercapitaleadstoahigherimprovementspendingpercapita,anaturalrelationshipasconsumersspendmoreastheyearnmore
Figure10:Householdconsumption(US$/capitap.a.)
versusGDP/capita(US$)
Figure11:S-Curvepatternofconsumerspendinghighlightsacceleration
Source:CreditSuisseResearchInstitute Source:CreditSuisseResearchInstitute
GDPpercapitaisquiteoftenusedtorepresentspendingpower,butisnotreallyagoodindicatorforthispurpose.Inanumberofcountries,alargepartofGDPdoesnotgotohouseholds.Usingthesamesetofdata—exceptdisposableincomepercapitainsteadontheX-axis—showsthatalevelofUS$3,000indisposableincomepercapitaisthelevelofincomewherediscretionaryspendingstartstotakeoff.Per-capitadataisalmostalwaysanaveragebasedonthemean.However,thereisalargeskewinincomeinmostcountries,andparticularlythePhilippineswherethetop10%ofhouseholdstakearoundhalfofthetotalincome.Onanaverage,thePhilippines'mediandisposableincomeisapproximately27%lowerthanthemean.Thisgivesamuchbetterrepresentationofthetypicalhousehold’sspendingpower.Thefigurebelowsummarisesthebroadconclusionsofthehierarchyofneedsandthehighestandlowestgrowthratesintheconsumptionofvariouscommodities,dependingontheprevailingincomelevels.Ouranalysisalsoshowsthatdemandgrowthinmostsectorsislikelytobeexponential—theclassichockey-stickmodel,asarisingproportionofthepopulationreachesmiddle-incomelevels.
ASEANLiving
6
26July2021
Figure12:Consumerproductcategories—typicalgrowthstages
GDPpercapita
High
Medium
Low
Beverages
Appliances
Healthcare
Cereals/Snacks
Stimulants
Education
BelowUS$2,000
Apparel
Consumercredit
Two-wheelers
Meat
Cars
PCs/Laptops
Beautyproducts
Tourism/Travel
Beverages
Appliances
Apparel
Cars
Healthcare
Two-wheelers
US$2,000-5,000
Meat
Consumercredit
Cereals
Stimulants
Tourism/Travel
PCs/Laptops
Beautyproducts
Education
Beverage
Meat
Cars
Apparel
US$5,000-10,000
Home,FurnitureandAppliances
Healthcare
Cereal
PCs/Laptops
Consumercredit
Two-wheelers
Beautyproducts
Tourism/Travel
Education
Stiumlants
Education
Cereal
Two-wheelers
Healthcare
Cars
Appliances
US$10,000-25,000
Consumercredit
PCs/Laptops
Meat
Beautyproducts
Beverages
Apparel
Tourism/Travel
Stimulants
Source:CreditSuisseResearchInstitute
TheCreditSuisseResearchInstitutealsoprovidesanindividualcountry‘scorecard’,bycomparingthecurrentconsumptionofcommoditiesagainstthelikelylonger-termlevel.Inotherwords,theabovegrowthratesarebasedonincrementalpenetrationgainsoverthenextdecadeorso.Webreakdownthegrowthbrackets(againstcurrentconsumption)intothreecategories:
lowgrowth(aCAGRoflessthan5%);(2)mediumgrowth(aCAGRof5-15%);and(3)highgrowth(aCAGRofmorethan15%).
Figure13:Consumerindustryheatmap
China
India
Korea
Indonesia
Malaysia
Thailand
Philippines
Basics:Food&Beverages
Cereals/Snacks
low
low
low
low
low
low
low
Rice
low
low
low
low
low
low
low
Sugar
high
low
low
medium
low
low
low
Fruits
low
medium
low
low
medium
low
low
VegetableOils
medium
low
low
medium
low
medium
medium
Beverages
medium
high
low
low
low
low
medium
Wine
high
low
high
low
low
high
high
Beer
low
high
medium
low
low
medium
medium
Stimulants
high
medium
high
low
medium
high
low
ReadMeat
medium
low
medium
high
high
high
medium
WhiteMeat
low
high
low
high
low
medium
low
Milk
high
low
high
high
high
high
high
DiscretionarySpending
Apparel
high
medium
low
high
high
medium
high
Appliances
high
high
medium
medium
high
low
Auto
high
low
low
high
low
medium
high
TwoWheelers
high
high
low
medium
medium
low
high
ConsumerLoans
high
medium
medium
high
low
medium
high
Education
high
medium
medium
high
high
high
high
Healthcare
high
high
medium
high
high
high
high
PC/Laptop
high
high
low
high
medium
high
low
Tourism/Travel
high
high
medium
high
high
low
high
Source:CreditSuisseResearchInstitute
ASEANLiving
7
26July2021
Onehistoricalconstantinthehomeimprovementindustryisthatwhendisposableincomerises,sodoestheamountofhomeimprovementprojectshomeownersarewillingtotakeon.GDPgrowthishighlycorrelatedtohomeimprovementspending.Thisisespeciallyevidentinmoredevelopedcountrieswherehigherincomesarealsorelatedtohigherspendingonthingslikefurniture,appliances,andgeneralhomeimprovement.Themajorcontributingfactorstothehomeimprovementmarketarenewandexistinghomesales,increasingdisposableincome,risingconsumerspending,remodellingandrenovationofhomes,aswellasanincreasingmiddle-classpopulation.ThedatashowsthathomeimprovementspendingasashareofoverallspendingfollowsanS-curve.SpendingforhomeimprovementincreasesasGDP/capitamovestowardsUS$5k-10kbutdeclinesasitapproachedUS$25k,andmovesupagainonceGDP/capitahitsUS$50korhigher.Relativetotheirrespectiveincomelevels,spendingonhomeimprovementisrelativelylowforSingapore.WebelieverelativelylowerhomeimprovementshareinSingaporecouldbeduetoasignificantproportionofthepopulation(~80%)thatlivesingovernmentpublichousing,i.e.,HDBflats,whichmaynotencouragelargeinvestmentsinmorepermanentfixturesandalteration.
Urbanflight,decentralisationtodriveformoregrowth
TheCOVID-19pandemichasbeendeemedanacceleratorfordecentralization,andshouldacceleratethegrowthofurbanisationintheASEANcountries.WFHandthedigitalisationoftheworkplacecontinuetogainwiderscaleadoptionasafeasibleservicedeliverymodel.Sofar,thedisruptioncausedbythepandemichasledtoseveralkeythemes:(1)reimaginationoftheworkplaceaskeypriorityamongtopC-suites;(2)higherproductivityoutcomes;(3)pandemic-inducedopportunitiesrising;and(4)WFHevolvingintoahighlyagilecontext-driven"workfromanywhere"model.Onproductivityalone,asurveyamongenterprisesconductedbyEverestGroupshowedthat62%ofrespondentshaveseenincreasedproductivity(with13%showingadecline,while25%indicatednochange),though,wethinkWFHadoptionisstilllargelyexpectedasacatalystforcostoptimisationforoutsourcingcompanies.EverestGroupestimatesthatcompaniesthatshiftatleast50%oftheirproductivecapacityviaaWFHservicedeliverymodelcouldreap13-15%incostsavingsvsthecoststructureundertraditionalmodels.AsdecentralisationprospersandtheASEANpopulationsmoveoutsidethebusinessdistricts,homeprojectsandhomerepairscouldbemoreofalong-termproject.Currently,320mnpeopleliveintheurbanregionsofASEANcountries,andby2050,thispopulationisexpectedtoswelltonearly525mn.Theunprecedentedurbangrowthisexpectedtoleadtoarapidriseofmorethan200smallercities.Theregion’surbanisedpopulationproportionisexpectedtoincreasefrom47%in2014to65%in2050,withfiveofthetenASEANnationstransitioningfromaminorityurbanpopulationtoamajorityurbanpopulation,aspertheUnitedNations(UN).ThestatisticsbelowshowthedegreeofurbanisationintheASEANcountriesfrom2009to2019.Urbanisationisdefinedastheshareofurbanpopulationinthetotalpopulation.
Figure14:UrbanisationratesinASEANhaveincreasedslightlyoverthelastdecade
(shareofurbanpopulationintotalpopulation)
110.0%
100.0%
90.0%
80.0%
70.0%
60.0%
50.0%
40.0%
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Thailand
Philippines
Malaysia
Indonesia
Singapore
Source:Statista
Onehistoricalconstantinthehomeimprovementindustryisthatwhendisposableincomerises,sodoestheamountofhomeimprovementprojectshomeownersarewillingtotakeon
TheCOVID-19pandemichasbeendeemedasanacceleratorfordecentralisation,andshouldacceleratethegrowthofurbanisationintheASEANcountries
ASEANLiving
8
26July2021
E-commercetoprovidesupport
Bricks-and-mortarhomeimprovementretailersfeltthepressurefromonlineretailersduringtheCOVID-19pandemic,asconsumerpurchasinghabitsshiftinfavourofonlineandmobilechannels.OnlinesalesofhomeandgardenproductsintheASEANmarketsisforecasttoriseatafasterpacethanitsotherAsiancounterpartslikeJapanduetoayoungpopulation,agrowingmiddle-classpopulation,risinginternetconnectivity,andmultiplepaymentoptions,allofwhicharefavourableforthegrowthofonlineretailing.ThebulkofonlineordersareclusteredinthemajorcitiesinthedevelopingASEANmarkets,withtime-strappedyoungworkingconsumersmakinguseofthelogisticsinfrastructureofferingsame-daydeliveryservicestosavetimeandavoidtrafficcongestion.Associal-distancingmeasuresarerelaxed,theonlineshareofretailsalesgrowthcouldslowdown.However,webelievethisisstilllikelytoremainatahigherlevelvspre-COVID-19levels.Despitethetemporaryclosureofphysicalstores,consumerswhoneededtocarryoutessentialhomerepairscouldstillorderthroughe-commerceorusemessagingappslikeViberorLINEtoplaceorders.WebelievethathomeimprovementretailersinASEANarerelativelymoreresilientversusotherdiscretionaryretailers,ashomeimprovementbuyingtypicallyneedguidedsellingormerchandising,andforconsumerstoseetheproduct.Whileitisnotimpossible,thesectorwillneedspecialisedandsophisticatedfulfilmentinfrastructure,andprovisionofrobustonlineguidedselling/support.TheASEANplayersarecurrentlylookingtobuilduptheiromni-channelplatform(Thailand),orlaunchtheirownonlinesellingportal(ACES’sRorHOMEandWilcon’sonlineportals).
ASEANLiving
Bricks-and-mortarhomeimprovementretailersfeltthepressurefromonlineretailersduringtheCOVID-19pandemic,asconsumerpurchasinghabitsshiftinfavourofonlineandmobilechannels
9
26July2021
ASEANhomeimprovementisunderpenetrated
TheASEANhomeimprovementsectorisa~US$6.7bnindustrythatisrelativelyunderpenetratedandhasamplegrowthopportunity.ASEANhomeimprovementspendingpercapita(US$61/capita)isathirdoftheAsianaverage(US$157/capita)andlessthanatenthoftheUSspending.AmongsttheASEANcountries,itseemsthespendingpercapitaishigherforSingaporeatUS$220/capita,followedbyMalaysiaatUS$37/capita,ThailandatUS$29/capita,thenIndonesiaandthePhilippinesatUS$12/capitaandUS$9/capita,respectively.ASEANhomeimprovementisalsogrowingatabout6%p.a.,priortothepandemic(2014-19),butrealisedadropof9%in2020asaresultofthelockdownsimposedacrosstheASEANcountriesduringtheheightofthepandemic.Beforethepandemic,Indonesiaexhibitedthehighestgrowthwithan8.4%CAGRover2014-19,owingtothegrowingpropertydevelopmentsector,whileMalaysia,ThailandandthePhilippinesgrewat4-4.6%,benefitingfromtherapidriseinthenumberofnewhouseholds.Meanwhile,Singaporewastheslowest,atalmostflat(0.1%),giventhehigherrateofurbanisationversusitspeers.ThesupplyofretailspaceinASEANisstillunderpenetratedcomparedtootheradvancedeconomies,withasignificantlylowersquarefeetpercapitalforbothtotalmodernretailandhomeimprovementretailstores.
TheASEANhomeimprovementsectorisa~US$6.7bnindustrythatisrelativelyunderpenetratedandhasamplegrowthopportunities
Figure15:HomeimprovementspendingpercapitahighestinSingaporeamongASEAN5
Figure16:HomeimprovementretailsectorasapercentageoftotalretailmeanwhilehighestinThailandamongASEAN5
(US$)
14.0%
1,200
1,000
1,000
12.0%
800
10.0%
600
8.0%
400
390
6.0%
310
220
200
196
4.0%
200
120
110
37
29
12
9
5
2.0%
0
0.0%
SingaporeIndonesiaPhilippinesMalaysiaJapan
UK
Australia
US
VietnamThailand
Source:Companydata,CreditSuisseestimates Source:Companydata,CreditSuisseestimates
Furthermore,populationgrowthandurbanisationcouldprovideopportunitiesfordeveloperstoexpandtheirdevelopmentsoutsideofthecities,andforhomeimprovementretailerstosetupnewstorestoservethesenewcatchmentareas.HomeimprovementretailareaisstronglyrelatedtolandareaandpopulationinASEAN.IndonesiaandThailandsawthehighestretailareagrowthinthepasttenyears,thankstoaggressivestoreexpansionsbykeyplayers.HomeimprovementretailspacepercapitawasthehighestinMalaysia,at0.23sqm,followedbyThailand(0.17sqm)andSingapore(0.09sqm)in2019.Meanwhile,thelowretailspacepercapitainIndonesiaandthePhilippinesprovidesanopportunityforfurtherpenetration,inourview.Therewere72,722homeimprovementstoresinASEANin2019,withIndonesia,Malaysia,andThailandaccountingforover85%oftotalstoresintheregion.IndonesiaandThailandsawthehighesthomeimprovementstoresgrowthinthepasttenyears,inlinewithretailareagrowth.
Furthermore,populationgrowthandurbanisationcouldprovideopportunitiesfordeveloperstoexpandtheirdevelopmentsoutsideofthecities
ASEANLiving
10
26July2021
Figure17:Homeimprovementstorespermillionpeople,2019
450
400
350
300
250
200
150
100
50
0
UK USA Japan Thailand Australia Malaysia Vietnam SingaporeIndonesiaPhilippines
Figure18:Homeimprovementretailspacepercapita,2019
(squarefeetpermillionpeople)
10.0
9.0
8.0
7.0
6.0
5.0
4.0
3.0
2.0
1.0
0.0
SingaporeIndonesiaPhilippinesVietnamMalaysiaThailand
Japan
Australia
USA
UK
Source:Companydata,CreditSuisseestimates Source:Companydata,CreditSuisseestimates
GrowthledbyIndonesiaandthePhilippines
Movingforward,weexpectASEAN’shomeimprovementindustrytogrowanaverage7%(2020-25),withfastergrowthfromIndonesia(a13%CAGR)andthePhilippines(a10%CAGR),followedbyThailandandMalaysiawhichareexpectedtodeliver6%and4%five-yearCAGRs(2020-25),respectively.Meanwhile,Singaporeisexpectedtoexhibitaslower2%CAGR.Growthseemstobecorrelatedtothelevelofurbanisationintherespectivecountries,withfastergrowthincountriesthathavefasterhouseholdformation.
Figure19:Growthinretailsalespercapitaofthehomeimprovementsector
2014-2019A
2020-2025F
Indonesia
8%
13%
Malaysia
4%
4%
Philippines
4%
10%
Singapore
0%
2%
Thailand
5%
6%
Source:Euromonitor
Movingforward,weexpectASEAN’shomeimprovementindustrytogrowanaverage7%
Figure20:Homeimprovementmarketsizeandgrowth2015-25E
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
IndustrysizeinUS$mn
Indonesia
2,140
2,383
2,604
2,848
3,137
3,002
3,334
3,721
4,233
4,801
5,423
Malaysia
1,041
1,084
1,156
1,196
1,231
1,099
1,128
1,167
1,212
1,260
1,311
Philippines
771
785
813
879
925
736
808
888
976
1,072
1,176
Singapore
167
167
166
167
167
160
165
168
171
175
178
Thailand
1,600
1,676
1,752
1,842
1,932
1,693
1,860
1,973
2,079
2,184
2,291
YoYGrowth
Indonesia
2.2%
11.3%
9.3%
9.4%
10.1%
-4.3%
11.0%
11.6%
13.8%
13.4%
12.9%
Malaysia
3.8%
4.1%
6.6%
3.5%
2.9%
-10.7%
2.6%
3.5%
3.9%
4.0%
4.0%
Philippines
1.6%
1.9%
3.5%
8.1%
5.2%
-20.4%
9.8%
9.9%
9.9%
9.8%
9.7%
Singapore
0.8%
-0.5%
-0.4%
0.4%
0.1%
-3.9%
3.1%
1.7%
2.0%
2.0%
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