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IncollaborationwithDeloitte
AmplifyingtheGlobal
ValueofEarthObservation
INSIGHTREPORTMAY2024
Images:GettyImages,Shutterstock,AdobeStock
Contents
Foreword3
Executivesummary4
Introduction5
1
TheglobalvalueofEOdata12
1.1Economicopportunityin203014
1.2Theclimateandnatureopportunity16
2
Industrieswiththemostvaluetogain20
2.1Agriculture22
2.2Electricityandutilities23
2.3Government,publicandemergencyservices24
2.4Insuranceandfinancialservices25
2.5Mining,oilandgas26
2.6Supplychainandtransport27
3
Cross-industryusesofEOtoamplifyclimateandnatureimpact28
3.1Environmentalimpactmonitoringanddisclosure30
3.2Vulnerabilityanalysis31
3.3Supplychainmonitoring32
4
StrategiestoactivateEO’spotential33
Conclusion37
Appendices38
A1Methodologyandapproach38
A2TaxonomyofEOusesandapplications44
A3EOdatatypesandtheiruses48
Contributors51
Endnotes53
Disclaimer
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AmplifyingtheGlobalValueofEarthObservation2
May2024
AmplifyingtheGlobal
ValueofEarthObservation
Foreword
JeremyJurgens
ManagingDirector,WorldEconomicForum
Ourcollectiveabilitytoobservenatureandthe
builtenvironmentisgreaternowthanever,inlargepartduetoexponentialgrowthinthecapabilitiesofEarth-observingsatellites.Inrecentyears,
severalcommercialandnon-profitorganizations
havejoinedtheranksofnationalgovernmentstoobserveEarthfromorbitasaresultofmoreflexibleregulationsandlower-costaccesstospace.
Throughdetailed,dailymeasurements,modernsatellitesandsensorscandomuchmorethanproduceimpressiveimagesofEarth.They
allowustomonitorEarth’svitalsigns,elucidate
relationshipsbetweenpeopleandtheplanetand
providevaluableinsightsforleadersacrosssectors.
Renewablesproduction,disasterresponseandsustainablesourcingarejustafewoftheareasthatEarthinsightscanenhance.Inconcertwithcomplementaryin-situdatasources,analytics
toolsandagrowingmarketplaceofuser-focusedservices,Earthdataisquicklyapproaching
mainstreamaccessibility.
Thisstudyestimatesthatby2030,theeconomicvalueofEarthinsightscouldexceed$700billion(nominalUSdollars)andhelpreducegreenhouse
JenSteinmann
GlobalSustainability
Practiceleader,Deloitte
gasemissionsby2gigatonnesannually.This
isaninspiringtimetoexplorethetransformative
opportunitythatEarthobservation(EO)presents.Asavitalcomponentofthefourthindustrialrevolution,EOconvergeswithartificialintelligence(AI),digitaltwinsandclimatetechnologytoofferapowerfultoolset
foreconomicprosperityandsustainablegrowth.
AdvancesinEOtechnologyhelpilluminateour
pathwaystonetzeroandcaninformactiononnatureandbiodiversityprotection.
ThisreportbytheWorldEconomicForum,in
collaborationwithDeloitte,showcasesthedual
economicandenvironmentalvaluepropositionofEarthobservationdata.ItintegratesperspectivesfromtheEOcommunity,agroupof40industry,
technologyandclimateleaderscommittedto
drivingsustainablevaluethroughEOapplications.Together,wehighlightopportunitiesforbothprovenandpromisingEOapplications,quantifytheirvalueandofferstrategiestoamplifytheirglobalimpact.Wehopethispublicationprovidesinsightsfor
thoseintheEOecosystem–andthepotential
beneficiariesofEarthdataacrossindustries–tobuildtowardsamoreprosperous,sustainableandresilientfuturefortheplanet.
AmplifyingtheGlobalValueofEarthObservation3
Executivesummary
Earthobservationhasthepotentialtodrive$3.8trillionineconomicbenefitfrom2023-2030whilepositively
impactingclimateandnature.
Today,Earthobservation(EO)isnotonlya
focalpointofthespaceindustryandscientificcommunitybutalsoanengineforeconomicdevelopment.Datacollectedfromspaceand
othersensorscanbenefitawiderangeof
businessinterests,bothbystrengtheningfinancialperformanceandbysupportingcompliancewithenvironmentalregulations.EOcanplayahelpfulroleinsupportingorganizationstoadvance
climateandnaturegoalsthroughverifyingcarbonreduction,understandingorganizations’impactsanddependenciesonnature,andidentifying
strategiesthatcontributetoanature-positiveandnet-zeroeconomy.
Withpromisingmarkettrendsandhundredsof
possibleapplications,theglobalpotentialofEO
isimmense,buttheextentofthispotentialhas
notyetbeenrealized.Asfoundinthisstudy,the
potentialvalue-addedfromEarthdataisestimatedat$266billion(nominalUSdollarsareused
throughoutthisreport)in2023,afigurethatis
poisedtogrowtomorethan$700billionin2030
withacumulative$3.8trillioncontributionto
globalgrossdomesticproduct(GDP)between
2023-2030.Mostofthatvaluecomesfrom
downstreamapplicationsinindustry;approximately94%ofthetotalvaluepossibleby2030derives
fromapplicationsinagriculture,electricityandutilities,government,publicandemergency
services,insuranceandfinancialservices,mining,oilandgas,andsupplychainandtransport.
Atthesametime,EOcaninforminterventionsthatstandtoreducegreenhousegas(GHG)emissionsbymorethan2gigatonnesannually–measuredincarbondioxideequivalent(CO2e).Thisfigureislikelyanunderestimate,asitconsidersfiveleadingEO
applicationswithademonstrateddirectimpactonGHGemissions,whilenumerousothersexistwithindirecteffects.Yet,itstillequatestoapproximately3.6%ofannualglobalemissionstoday
1
Importantly,applicationsforbusinessgoalsand
environmentalgoalsarenotmutuallyexclusive.Infact,theyoftengohand-in-hand.Activatingthe
economicco-benefitsofdualvalueapplicationsforenvironmentalmonitoring,vulnerabilityanalysisandsupplychainmonitoringisapromisingmechanismtoamplifytheclimateandnatureimpactofEO.
WhileEOisanextraordinarytoolforcreatingboth
economicvalueandpositiveenvironmentalimpact,maximizingitsvaluedependsonadramaticincreaseinend-useradoption.Achievingthatcallsforresolutestrategiesandinvestmentstoincreaseawareness
ofwhatispossiblewithEO,encourageinnovation,advancecoreandenablingtechnologies,ensure
equityinaccesstoEOinsightsandbridgethegapbetweenEOdataandend-usersolutionsworldwide.
AmplifyingtheGlobalValueofEarthObservation4
Introduction
UnderstandingEarth’ssystems–andhuman
dependenciesandimpactsonthem–isintegraltosustainableeconomicdevelopmentworldwide.
Earthobservation(EO)hascontributedtotheglobaleconomyfordecades.Initiallyunderpinnedby
strongpublicsectorcontributions(particularlydrivenbydefenceandsecurityinterests),thereisnowanestablishedandgrowingcommercialEOindustry.Injusttwoyears,from2021to2023,theEOindustrygrewbymorethan21%
.2
Drivenbytechnology
andbusinessmodelinnovation,thestageissetforcontinuedgrowth–notonlyintheEOindustrybutalsoinEO’smultitudeofdownstreamapplications.
Novelmodellingundertakeninthisstudyhas
illuminatedthescaleofopportunitythatEO
presents.By2030,thepotentialeconomicvalueofEOcouldexceed$700billion(nominalUS
dollars)globally,withapplicationsacrossnearly
allindustries.Itcanalsosupportinitiativesthat
generateenvironmentalbenefits.Specifically,EO
isacriticaltooltoinformpolicies,decisionsand
interventionsthatcouldeliminateupto2gigatonnes(Gt)ofgreenhousegas(GHG)emissionseveryyearwhilesupportingahostofnature-positivestrategies.
Increasinguptakeacrossallregionsand
industriesiskeytounlockingEO’seconomicand
environmentalbenefits.ThescaleofEO’sdualvalueiscompelling,butintegratingEOintotheglobal
economywilldependontheinnovation,investment
andthecollectiveactionsoforganizationsthroughouttheEOvaluechain.
BOX1
Why2030?
Overthesameperiod,environmentaldisclosure
requirementsandemissionsregulationswilltake
effect,thousandsofnewEOsatellitesareforecastedtolaunchandenablingtechnologiessuchasartificialintelligence(AI)maycatalyseadoption.Asaresult,globaladoptionofEOcouldincreaseby30%ormoreby2030,accordingtoasurveyofEOindustryleaders.
Theperiodfrom2024to2030isavitalwindowofopportunitytoadvanceEOforclimateandnaturepurposes.Majorinternationalcommitments
linkedtotheUNSustainableDevelopmentGoals(SDGs),GlobalBiodiversityFramework,Paris
Agreement,RioConventions,DubaiConsensusandothersculminatein2030targets.
AmplifyingtheGlobalValueofEarthObservation5
FIGURE1TheglobalEOopportunity
DownstreamMidstreamUpstream
EOdata
EOdatacomesfromavarietyofsensorsandsources,bothremotelysensedandin-situ.
Atraditionalview
oftheEOvaluechainfocusesonthedata,platformsand
analyticsprovidersthatmakeuptheEOindustry
FunctionalusesofEO
Ninefunctionaluses,enabledbydataplatformsandanalytics,
helpmultiplyEOdata'svalue.
Environmental
impactmonitoring
Consumerexperience
Earlywarning
Route
optimization
Post-eventanalysis
Precisionagri/aquaculture
Vulnerabilityanalysis
Supplychainmonitoring
Site
selection
Anexpandedview
includesdownstreamapplicationswherethevastmajorityofEO
data’svalueisrealized
Industryapplications
EOdatacanbeusedinnearlyallindustries,withawide
varietyofvalue-addingapplications.
Agriculture
Electricityandutilities
Construction
Government,publicandemergencyservices
Information,
mediaandtechnology
Health
Insuranceand?nancialservices
Mining,oilandgas
Manufacturing
Professionalservices
Supplychainandtransport
Tourismandserviceindustry
$703
billion
Potentialyearly
value-addedby2030
Dualvalueproposition
EO'scombinedeconomicandenvironmentalbene?tspresent
acompellingcaseforadoption.
$3.8
trillion
Cumulativepotentialvaluefrom2023-2030
Economic
Environmental
Revenueincrease
Climatechangemitigation
2Gt
AnnualGHGemissionsthatcanbeavoided
Cost
avoidance
Nature-positiveimpacts
by2030withactionsbasedonEOinsights
AmplifyingtheGlobalValueofEarthObservation6
Thisstudyprimarilyfocusesonremotesensing
sinceitisadrivingforceforscalingEOaroundtheworld.In-situdataisconsideredwhenitisusedtoenrich,calibrateorvalidateremotesensingdataorwhenitcannotbedifferentiatedfromit.With
dailyglobalcoverage,satellitesareakeypartofthatadvantage.NearlyeverythingonthesurfaceoftheEarth,andmanyphenomenaabovethe
surface,canbemeasuredwithremotely-sensedEO(seeFigure2).
WhatisEO?
InJulyof1972,theUSDepartmentoftheInterior
launchedthefirstofthesatellitesthatwouldbecometheLandsatprogram.Providingnever-before-seenimagesoftheEarthtoscientistsaroundtheworld,Landsat1fundamentallychangedgeographic,
cartographicandotherEarthsciencedisciplineswhilealsopavingthewayforsatellite-basedEOdatauseinawiderangeofotherfields.
BOX2Definitions
EOreferstocollectinginformationaboutactivitiesandcharacteristicsonEarth,bothnaturaland
artificial,includingphysical,chemical,biological
andanthropogenic(human)systems.EOincludesbothremotesensingtechnologiesand“in-situ”
datasources.Remotesensingusesavariety
ofsensorstomeasurereflectedoremitted
energyfromdistantenvironments.In-situdataiscollectedadjacenttothemeasuringinstrument,liketemperaturereadingsbyathermometer.
AdditionalinformationonthetypesandattributesofEOdatacanbefoundinAppendix3.
FIGURE2Examplesofwhatremotesensingcanmeasure
Remotely-sensedEOcan…
Classifylandcoverageand
useincludingchangeovertime
Identifyanddifferentiatespeciesofvegetation
Identifythechemicalspresentinland,
waterandatmosphere(includingGHGs)
Classifyhumanmadeinfrastructureandmonitorchangesovertime
Measureradio,microwaveandultravioletradiation
Delineateshorelinesand
measuresoilmoisturecontent
Assessatmosphericconditions
Measuretemperatureanddetectheatsourcesintheinfraredspectrum
Measurethegeometryofnaturalandhumanmadeobjects(dayornight)
Captureimagesinthevisiblespectrum
Additionally,theinternetofthings(IoT),mobile
phonesandotherglobalnavigationsatellite
system(GNSS)enableddevicesarerichsources
toenhanceEO.Thesesourcesnotonlyhelpto
Inmanycases,insightsfromthisdataaresufficienttoinformdata-drivenactionontheirown.Yet,fusingdatasetsandcomparingmeasurementsovertime
unlocksfarmore.Forexample,theabilitytoanalyseamultitudeofenvironmentalvariablesovertime
makesitpossibletoforecastweatherandmeasureclimatechange,whileaddingsocioeconomicdata,suchaspopulationstatistics,canhelpassess
climateimpactsonhumanpopulations.
calibrateandvalidateremotelysenseddatabutalsocanbefusedtoimproveprecisionorgeneratenewinsights.Forexample,Wazepioneeredtheuseof
crowdsourcedGNSSdatafromconsumerdevicestoimprovemapsandenabledynamicrouting.
AmplifyingtheGlobalValueofEarthObservation7
TheEOvaluechain
AbasicframeworkfortheEOvaluechain
mirrorstheprocessforgeneratinginsights
fromdata,wherebyrawdataisfirstcollected,thenprocessedtoproduceusefulinformation,andfinallyexploitedforavarietyofend-userapplications(seeFigure3).
Acrossthevaluechain,adiversemixof
commercial,government,academicandcivilsocietyorganizationsplaydifferentroles.Businessmodelsvary,withsomefocusingonnarrowindustryverticalsornicheapplicationsandothersprovidingbroad
platformsthatsupportawiderangeofapplications.
Integrationupanddownthevaluechainisnot
uncommon,withsomedataprovidersoperating
acrossupstreamandmidstreamsegmentsand
someendusersintegratingmidstreamcapabilities.
FIGURE3
ComponentsoftheEOvaluechain
1
2Crewedaircraft
3Oceandatabuoy
4High-altitudeballoon
(e.g.weatherstation)
5
Mobilephones,otherconsumerdevicesandIoTdevices
1Satellite
6
7Ground-basedradar
8Fixedwingandrotarydrones
2
9Automaticsensorstation
5Satellitegroundstation
4
8
3
6
9
7
Dataacquisition
TheEOvaluechainbeginswithdata
acquisitionfromavarietyofsensors
andsources.Remotely-senseddataiscollectedfromsatellites,pilotedaircraft,high-altitudeballoons,dronesandotherplatforms.In-situdataisgatheredfromGPS-enableddevices,IoTsensorsandotherhuman-collectedorautomated
measurementsinthefield.
Dataprocessingandanalytics
Themidstreamsegment,data
processingandanalytics,aimstomakevastEOdatasetsmorediscoverable,
accessibleandultimatelyactionable.RawEOdataneedstobecalibrated,refined,contextualized,curatedandfusedwithotherdatasourcesrelevanttospecificapplications
.3
Datause
ThedownstreamsegmentoftheEO
valuechainisdatause.UnlikedepictionsoftheEOvaluechainthatfocusontheEOindustryalone,thissegmentation
capturestheroleofendusersin
realizingthefullvalueofEOdataandtheimportanceofstimulatingdownstreamusetorealizeEO’sfullpotential.
AmplifyingtheGlobalValueofEarthObservation8
HowEOdataisused
Withvarioustypesofmeasurementsthatcan
beadaptedtospecificregions,industriesand
organizationalobjectives,thedepthanddiversityofusecasescanbeinspiringbutmayalsoobfuscate
thesimplicityofthefundamentalvaluepropositionforEO:betterdatacaninformdecision-making,optimizesolutionsandenableinnovation.
Highlevel,industry-agnosticcategoriesarehelpfultograspthatfundamentalvalueproposition.EachcategoryshowninFigure4isframedintermsofthefunctionitservesandcomprisesarangeofunique
applicationsanddiversedatasources,across
industries.Forexample,“routeoptimization”includesparticulatemattermonitoring,hazardousweather
identification,marinesurveyingandotherapplications.
Thesecategoriesarenotmeanttobeexhaustive.Instead,theyrepresentsomeoftheprimarywaysinwhichorganizationscanuseEOtocreatevalue.ExampleapplicationswithinthesecategoriesaredetailedinAppendix2.
Eachofthefunctionalusecategorieshasuniqueapplicationsacrossseveralindustries.Figure4
illustratestherelevanceandapplicabilityofthenineusecategoriesacrossmajorindustries.
FIGURE4
CurrentcategoriesofEOdatauseindownstreamapplications
Earlywarning:Detectingdisasters–like?oodsandwild?res–withmorespeedandaccuracytobolster
planning,responseandrecovery.
Environmentalimpactmonitoring:
Providingatrusted,third-partysourcetomeasureenvironmentalimpactsandhelpverifycertainenvironmental
commitmentsandmandates.
Consumerexperience:
Providingindividualusersvaluethroughinformationsuchasairqualityorweatherforecasts.
Precisionagri/aquaculture:
Enhancingregenerativepractices,reducinginputcostsandmonitoringin-seasonperformanceandyield.
Routeoptimization:Optimizing
transportroutesinconcertwithGNSS
databydetectingpotentialenvironmentaldisruptionsandofferingalternativesbasedonenvironmentalimpact.
Post-eventanalysis:Analysingenvironmentalchangestobetterdirectemergencyresponseandmeasuretheextentofdamages.
Supplychainmonitoring:Detecting
changestophysicalgoodssupply
chainsandtheirimpactsoninternationalcommerceandecologicalindicators.
Vulnerabilityanalysis:Characterizing
andassessingtherisksposedbyclimateandnaturechangesandotherhazardsthatmaymateriallyimpactpeople,
infrastructureandoperations.
Siteselection:Identifyingoperationalsitesforlarge-scaleinfrastructurewiththebestyield,ef?ciencyand/orrelativeenvironmentalimpact.
Functionalusecategories
Post-event
Precisionagri/
Route
Site
Supplychain
analysis
aquaculture
optimization
selection
monitoring
Agriculture
Construction
Electricityandutilities
Government,public
andemergencyservices
Health
Information,mediaandtechnology
Insuranceand
financialservices
Manufacturing
Mining,oilandgas
Professionalservices
Tourismand
serviceindustry
Supplychainandtransport
Environmentalimpact
monitoring
Vulnerabilityanalysis
Consumerexperience
Early
warning
Industries
Limitedornoapplicability
Demonstratedapplications
Emergingorplausibleapplications
Note:CommonusesofEOindefence,intelligenceandothernationalsecurityapplicationsarenotincludedinthisstudy.
AmplifyingtheGlobalValueofEarthObservation9
awarenessofEOapplications,ashortageof
specializedtalent,fragmentedstandards,and
oIfsuccessful,
AI-enabledservicesstandtomake
EOaccessibletonon-expertsanddramaticallylowerthedemand-sidebarrierstoentry.
EOmarkettrendsanddynamics
difficultynavigatingthecomplexEOdataand
servicesmarketplace.Therearelikelymanyreasonsthesebarriershavepersisted,includingthatthe
commercialEOindustrywasinfluencedheavilybygovernment–particularlydefence.Thebusinessmodelstoenablecommercialadoptionmaylookquitedifferent.
4
OptimismamongEOindustryprofessionals
persistsregardingtheroleAIcanplayindriving
marketgrowth.
5
NotonlyarenewAImodels
expectedtosuperchargetheabilitytoanalyse
immensecataloguesofEOdata,butitisalso
expectedtopowernewwaysofinteractingwithit.Ifsuccessful,AI-enabledservicesstandtomakeEOaccessibletonon-expertsanddramatically
lowerthedemand-sidebarrierstoentry.
Lookingbackatmarketstudiesfromthepasttwodecades,it’scommontofindoptimisticoutlooksfromEOindustryinsiders.EO’sabilitytoansweranincreasingnumberofvitalquestionslends
itselftoaperceptionthattheindustryisnearinganinflexionpointforgrowth.Consultations
heldaspartofthisstudyprovideanup-to-dateperspectiveonthedynamicsinfluencingthe
industry’sfuture.Supply-anddemand-sidedynamicsaresummarizedinTable1.
Thesupply-sideoutlookislargelypositive:newEOsatellites,advancedsensorsandcomplementarycomputingcapabilitiesarecontinuingtopush
theenvelopeofwhatispossiblewithEOdata.However,servicingthepotentialdemandforEOremainsachallenge.Keybarriersincludelimited
Summaryofsupply-anddemand-sidedynamics
TABLE1
Supply-sidedynamics:ArevolutioninEOandsupportingtechnologiesisunlockingnewpossibilitiesforvalue-addedservices
Dataacquisition(upstream)
Commercialcompetition
Consolidationandintegration
AdvancementsinEOdataquality
Agrowingcommercialmarketforsatellite-basedEO,enabledbylowercoststobuildanddeploysmallsatellites,iscomplementingpublicly-availabledatabyofferingmoredetailanddatatypes.
ThecommercialEOindustryhasseenconsolidationthroughacquisitions,includingverticalintegrationdownthevaluechain.
Newsatellitesandsensorsareimprovingtherangeandqualityofinformationavailable.
Advancedcomputing,cloudandAIarecomplementarycapabilitiesthatincreaseefficiency,helpextractmoreinformationfromsatelliteimagesandreducethetimefromdatatoinsight.
AdditionalmidstreamservicesareneededtomakeEOaccessibletoawiderrangeofusers.
Advancementsincomputing
Value-addedservices
Dataprocessingandanalytics
(midstream)
Demand-sidedynamics:EOcanhelpmeetbusinessandclimateimperatives,butitstechnicalcomplexityandalackofawarenessareholdingbackdemand
Consumerawareness
Government-drivenmarket
Solutions,notpixels
Theenvironmental
Datause
(downstream)
Awarenessisincreasinginindustrieswithmoreestablishedusecasesbutremainsasubstantialbarrier.
SpendingoncommercialEOdataiscurrentlydominatedbydefenceandother
governmentagencies,leadingsupplierstoprioritizethemoverotherindustryusers.
Buyingpatternsareshifting;newcustomersareseekingactionableinsightsratherthanrawdata.
Thegrowingfocusonclimatemonitoringanddisclosuresstrengthenstherelevanceof
imperativeEarthdataacrosssectors.
AmplifyingtheGlobalValueofEarthObservation10
EOtooptimizefisheryharvests,orindirect,suchastheoverallhealthandwelfareofthecommunities
thatdependonthem.Thisstudyisfocusedonthe
directbenefitsshowninTable2andquantifiesthe
economicandclimatebenefitshighlightedinFigure5.Whilesocialbenefitslikepublichealth,securityandequityareanintegralpartofEO’svalueproposition,theyarenotafocusofthisanalysis.
HowtheeconomicandenvironmentalbenefitsofEOareclassified
Downstreamapplicatio
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