Towards Data-Driven Buildings - Smart Building Research · 3.2 Big Data for Smart Buildings 3.3...

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Towards Data-Driven Buildings Big Data for Smart Buildings 2018 - 2023 Published: Q4 2018 SMART BUILDINGS

Transcript of Towards Data-Driven Buildings - Smart Building Research · 3.2 Big Data for Smart Buildings 3.3...

Page 1: Towards Data-Driven Buildings - Smart Building Research · 3.2 Big Data for Smart Buildings 3.3 BIOT Data Analytics 3.4 Software & Platforms 4. Current Market Status 4.1 Big Data

Towards Data-DrivenBuildingsBig Data for Smart Buildings 2018 - 2023

Published: Q4 2018

SMART BUILDINGS

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TowardsData-DrivenBuildings

SynopsisThisreporthelpsallstakeholdersandinvestorsinCommercialRealEstatetoidentifyopportunitiesinDataDrivenBusinessmodelsandForecastsDemandto2023.

©2018MeemooriResearchAB

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Introduction

ThisReportisanew2018Study,whichmakesanObjectiveAssessmentoftheMarketforBigData

Software,NetworksandServicesinBuildings2018to2023.

Our2ndeditionofresearchintotheMarketforBigDatainSmartBuildings2018to2023focusesprimarilyonsoftwareandprofessionalservicessolutions.IOTdeviceandhardwaremarketshavingbeencoveredinourrecentlypublished(Q22018)reportonthemarketforTheInternetofThingsinSmartCommercialBuildings(BIoT).

Thisreportcontainsoriginalforecasts&detailedanalysisonthecurrentstateofthemarket,significantdevelopingtrends,anddrivers/barriersthatarehelpingtoshapethemarket.

Thereportprovidesvaluableinsightsintothekeyfactorsinfluencinghowthemarketisevolvingintermsoftechnology,investments,datamanagementstrategies,globalgrowth,regionspecifictrends,thecompetitivelandscape&businessmodels.

What This Report Will Tell You Withinits245pagesand47chartsandtables,thereportfiltersoutALLthekeyfactsanddrawsconclusions,soyoucanunderstandexactlywhatisshapingthefutureoftheglobalBigDatamarket,asitappliestoCommercialRealEstate.

WeprojectthatthetotalglobalmarketforBigDatainSmartCommercialbuildingswillexperience

robustgrowthovertheforecastperiod,risingfrom$15.6Bnattheendof2018to$35.8Bnby2023,

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representingaCAGRof18%.Growthinthisareahasslowedslightlysinceourinitialassessmentof

thisparticularmarket,whichconsideredthe2015to2021period(publishedin2016).Theslowingis

largelyduetothesteadymaturationofthemarket,andthemuchlargerbaselinemarketsize;butin

partalsoduetootherfactorssuchaspricecompetitionandconcernssurroundingdataprivacyand

security.

Weseeapplicationsoftwareascurrentlyrepresentingthelargestportionofrevenuespendinginthe

market,withendusersinvestingheavilyintobusinessintelligencetools,dashboardsandotherdata

visualizationandreportingfunctionality.Overallthissegmentofthemarketisexpectedtogrow

rapidlyatarateof19.8%overtheforecastperiod.By2023,itsshareovertheoverallmarketwill

havegrownfrom33%to36%,representingrevenuesof$12.9Bn.

Growthinthecommercialofficesmarketislargelyuntappedsofar,withthemajorityof

investmentsonlyfocusedonminimizingoperationalcostsandenergyexpenditure.Productivityand

occupantexperiencerelatedinvestmentswilldrivemarketgrowthinthissegment,withsignificant

marketspendingalsoprojectedinrelationtoavarietyofpredicativeanalyticsAIandmachine

learninginitiatives.

By2023,thecommercialofficessegmentisexpectedtogeneraterevenuesofover$15Bn,rising

fromaprojected2018valueofjustover$7Bnin2018ataCAGRof16.4%.

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Table of Contents Preface

ExecutiveSummary

1.AnIntroductiontoBigData

1.1The4VsofBigData

1.2StructuredvsUnstructuredData

1.3DataStorage&ampProcessing

2.KeyEnablingTechnologies

2.1TheIoT

2.2DataAnalytics

2.3Cloud

2.4EdgeProcessing&Analytics

2.5AI&MachineLearning

3.BigData&theBIOT

3.1TheBIOTSupplyChain

3.2BigDataforSmartBuildings

3.3BIOTDataAnalytics

3.4Software&Platforms

4.CurrentMarketStatus

4.1BigDataInvestments&SpendingPriorities

4.2AdoptionRates

4.3SuccessRates

5.TheJourneyTowardsData-DrivenBuildings

5.1BigDataMaturityAssessments

5.2ConvertingDatatoActionableIntelligence

5.3EstablishingaData-DrivenCulture

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5.4BigDataLeadership&Governance

5.5DataStrategies

5.6TheIT/OTChallenge

5.7OpportunitiesBeyondtheBuilding

6.Standards

6.1BuildingAutomationStandards

6.2SemanticDataModeling&MetadataManagement

7.GeneralSmartBuildingApplications

7.1SmartEnergyManagement

7.2SmartOperations&Maintenance

7.3Safety&Security

7.4VideoAnalytics

7.5Reporting&DataVisualization

8.VerticalMarketApplications&Opportunities

8.1CommercialOffices

8.2Retail

8.3Hospitality

8.4Healthcare

8.5OtherBuildings

8.6CRELevelOpportunities

9.TheGlobalMarket-Sizing&GrowthProjections

9.1MarketAnalysisbySegment

9.2MarketAnalysisbyVertical

10.MarketAnalysisbyRegion

10.1RegionalComparisons

10.2NorthAmerica

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10.3LatinAmerica

10.4AsiaPacific

10.5Europe

10.6MiddleEast&Africa

11.MarketDrivers

11.1Economic&BusinessDrivers

11.2TechnologyDrivers

11.3EnergyEfficiency&EnvironmentalDrivers

11.4Policy&RegulatoryDrivers

12.MarketBarriers

12.1Knowledge&Skills

12.2CyberSecurity

12.3Privacy

12.4ImplementationCost&ROI

12.5DataChallenges

13.TheCompetitiveLandscape

13.1TheWiderBigDataLandscape

13.2TheEvolvingBIoT&BigDataLandscape

13.3ICTVendorPositioning

13.4BuildingControlsVendors

13.5Startups&TheirImpactontheMarket

List of Charts & Figures Fig1.1The4V'sofStructured&UnstructuredData

Fig1.2GlobalDataVolumeProjections2016–2023

Fig2.1BarrierstoPublicCloudAdoption

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Fig2.2LeadingCloudArchitecturesbyIndustry

Fig2.3KeyTermSearchesforLeadingEmergingTechnologiesoverTime

Fig3.1TheInternetofThingsinSmartCommercialBuildings2018

Fig3.2TheBIoTandBigDataValueChain

Fig3.3EnterpriseDataCollectionbyEquipmentSource

Fig3.4BigDataSourcesinSmartBuildings

Fig3.5BigDataPlatformFunctionality

Fig3.6DeveloperTargetMarkets

Fig4.1LeadingObjectivesforBigDataandAIInitiatives

Fig4.2CIOTechSpendingPriorities

Fig4.3IndustryImportanceofBigData,2015-2017

Fig4.4BigDataAdoptionRates

Fig4.5SuccessRatesofBigDataandAIInitiativesbyObjective

Fig5.1OverviewoftheGartnerMaturityModelforDataandAnalytics

Fig5.2BigDataMaturityAssessment2017

Fig5.3SmartBuildingBigDataSolutionMaturity

Fig5.4KeyChallengestoIntroducingData-DrivenWaysofWorking

Fig5.5WhoShouldbeResponsibleforOrganisations'BigData&AnalyticsAgenda

Fig5.6StrategicRoadmapforBigDataProjectDelivery

Fig8.1TheBenefitsofWorkplaceDigitalWorkplaceTechnologies

Fig8.2UseCasesforOccupancyAnalyticsandIn-BuildingLocationBasedService

Fig8.3TheValueofLocationDataforRetailers

Fig8.4LeadingIoTApplicationsintheHealthcareSector

Fig8.5PositiveImpactsfromBigDataInvestmentsofCommercialRealEstate

Fig9.1TheGlobalMarketforBigDatainSmartCommercialBuildings,$Bn

Fig9.2SmartCommercialBuildingBigDataMarketBreakdownbySegment,$Bn2018-2023

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Fig9.3TheMarketforBigDatainSmartCommercialBuildingsbyVertical,$Bn2018-2023

Fig10.1RegionalGrowthIndicators

Fig10.2BigDataAdoptionRatesbyRegion

Fig10.3TheMarketforBigDatainSmartCommercialBuildingsbyRegion2018-2023

Fig10.4TheMarketfortheBigDatainSmartCommercialBuildingsNorthAmerica,$Bn2018-2023

Fig10.5TheMarketfortheBigDatainSmartCommercialBuildingsLatinAmerica,$Bn2018-2023

Fig10.6TheMarketfortheBigDatainSmartCommercialBuildingsAsiaPacific,$Bn2018-2023

Fig10.7TheMarketfortheBigDatainSmartCommercialBuildingsEurope,$Bn2018-2023

Fig10.8TheMarketfortheBigDatainSmartCommercialBuildingsTheMiddleEast&Africa,$Bn2018-2023

Fig11.1KeyInvestmentDriversforBigDataExecutives

Fig11.2FloorAreaAdditionsbyRegionto2023*,BillionSqm

Fig11.3GlobalOfficeCompletions2012-2019,MillionsSqm

Fig11.4GlobalFinalEnergyConsumptionbySector2015

Fig11.5GlobalCommercialSectorEnergyConsumption2018-2023

Fig11.6EnergyEfficiencyInvestments

Fig12.1BigDataChallenges

Fig12.2TheDigitalSkillsGap

Fig13.1TheSmartBuildingTechnologies&ApplicationStack

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