Memoori The Global Market for Intelligent Video Analytics ......3. Market Size of Video Surveillance...
Transcript of Memoori The Global Market for Intelligent Video Analytics ......3. Market Size of Video Surveillance...
The Global Market forIntelligent Video Analytics2018 to 2023
Published: Q3 2018
GlobalMarketforIntellVideoAnalytics2018to2023
Synopsis
Thisreportaimstoassistallstakeholdersandinvestorsinthevideosurveillanceindustryinunderstandingthepotentialimpactofartificialintelligenceonthemarket.
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Introduction
ThisReportisOur1stDetailedAssessmentofthePotentialImpactArtificialIntelligencewillhaveonVideoSurveillance&Analytics.
Videoanalyticshaseatenafewfreelunchesoverthelast15years.Whilstithascertainlyaddedsomevaluetovideoinstallations,therehasbeenmuchdebateaboutexactly‘howintelligent’thetechnologyreallyisandwhetheritprovidessatisfactoryROI.Butin2018,thereisnowagrowingbeliefthatvideoanalyticscouldfinallymovebeyondwhathasbeenachievedthroughconventionalrulebasedsystems.
Thisisdueinlargeparttomajoradvancesinsemiconductorarchitecture,whichisenablingmuchfasterprocessing;Empoweringdeeplearningandmachinelearningalgorithmstoanalyzedatamanytimesfasterthanwaspreviouslypossible.VenturecapitalistsarenowpouringbillionsofdollarsintofinancingArtificialIntelligence(AI)chipandanalyticsoftwarecompanies.Indeedwhileresearchingthisreport,weidentified128companiesacrosstheworldthatarenowinsomewayhelping(hardware&software)todeliverAIvideoanalyticsolutions.
Thereisstillmuchtobedoneinperfectingthetechnologyandgettingittomarket,butthese‘newtools’haveopeneduptheopportunitytobringAIproductstothevideoanalyticsmarketpotentiallyrevolutionizingitsperformanceandcapability.Andifitcandeliver,itwillfurtherdrivedemandforintelligentvideosurveillance,notjustfornewprojectsbutopenupavastlatentpotentialforretrofittingmillionsofexistingcamerainstallations.
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Why Do You Need This Report?
Whatisthemarketworthnow?WehavedefinedAIVideoAnalyticsasasolutionthatisrunningdeeplearningalgorithmsonaplatformthatismostlikelytobebuiltonaGPUchiparchitecture.ThesesolutionsareverymuchintheirembryonicstageandourbestestimateisthatglobalsalesofAIVideoAnalyticsolutionsin2017wasonlyaround$115million,muchofthisbeinginstalledinChinaonSafeCityprojects.
VideoSurveillancesystemsgeneratevastamountsofdatathatissadlynotbeingutilizedproperly.Thereishugepotentialtomaximizethevalueofthisdatabyconvertingitfrom“dumbtoactionable”.Thematerialisalreadyouttherejustwaitingtobemined.NewchiparchitecturescombinedwithAIvideoanalyticssoftwarewhenputtoworkonthesegargantuanvolumesofdatashouldimprovethesecurity,safetyandperformanceofpeople,buildingsandthebusinessenterpriseandatthesametimeprovideamajorboosttotheVideoSurveillanceEcosystem.
Currentlawenforcementsystemsareincreasinglyunabletocopewiththesheervolumeofsurveillancematerialcapturedandstoredeveryday.Thisisonlysettorise,withthepopulationofvideocamerasincreasingbyatleast12%peryear.Thesevideostreamswillonlyeverbeusefulifprocessesto
searchandanalyzethemountainofdatakeeppace.Asitstandstodayvitalinformationismissedbecausethevastmajorityofvideoissimplynever
viewed.
Inordertobothsizethepotentialmarketandfutureforintelligentvideoanalyticssoftware,inthisreportwealsoestablishthesizeoftheVideoSurveillanceequipmentbusiness,howitisorganizedandthenfocusdeeperintotheVideoManagementSolutions(VMS)businessasthisiswherecurrentanalyticsoftwareforthevideosurveillancebusinessismostoftenapplied.Todaymostofthesoftwareusedfallsoutsideourdefinitionofbeing“AIVideoAnalytics”butinthefutureitwillbeaninextricablepartofit.WethereforereviewthevideosurveillanceandtheVMSbusinessinordertomakeaseriousattempttoforecastthedemandfortheAIVideoAnalyticsmarket.
Wehaveidentifiedsome128companiesthatarecurrentlyactiveinsupplychainforAIVideoAnalytics.Newcompaniesarebeingaddedtothislistalmostdailyandwecannotclaimthatourlistisfullycomprehensive.NvidiahasemergedastheearlyleaderinAIchipsandisparticularlystronginvideoanalytics.Nvidia’sedgeisthatitsPCgamingprocessors(GPUs)canbescaleduptohandleAIsoftware,thankstotheir“parallelprocessing”circuitrywhichcanhandlecomplexmultipletasks.
ChinahaspublicallyannounceditsgovernmentstrategytodominateAItechnology.ItsInternetgiantslikeBaidu,AlibabaGroupHoldingsandTencentHoldingsarepouringmoney
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intoAIresearch.Chinaproducesaround40%oftheworld’svideocamerasandconsequentlywillgeneratemassiveamountsofrawdatatotrainAIsystemsinhowtomakepredictions.ThereisgoodreasontothinkChinawillmakebreakthroughsindevelopingcomputeralgorithmsforvideoapplications.
Withinits144Pagesand8ChartsandTables,Thereportpresentsallthekeyfactsanddrawsconclusions,soyoucanunderstandtheimpactthatartificialintelligenceishavingonvideosurveillanceandanalytics;
Thereare2elementstotheimplementationofvideoanalytics.Thefirstisthetaskofaddingtheanalyticsenginestothevariousvideostreamsandenablingthem.Thisisrelativelysimpletoachieve.Thesecondpartoftheimplementation,andthepartoftheprocessthatcanbefarmoretime-consuming,isconfiguringthemforaccurateperformance.Everysiteisbespoke,andevenverysimilarsitesusingthesameanalyticrulesmayneedtodeliververydifferentresults,baseduponthespecificoperationalrequirements.Evenwithaself-learningsystem,theremaybeaneedtoadjustdetectionzonesandmasks,cameraangles,perspectivesettings
Webelievethereare2mainfactorsthatwilldeterminethefuturerolethatthesuppliersofthevideosurveillancemarketwillplay.ThefirstisthebroadsplitbetweentheEnterprisemarketandtheSMBmarketandthe2methodsofapplyingAIthrougheithertheedgeorthecloud.
Inthisreport,wehavedetailedsome6methodsofapplyingAIanddeeplearning.Theyallhavebenefitsinparticularapplicationsbutalltoofteninthepasttherehasbeenafailuretotakeintoaccounttheneedtosimplifytheinstallationandconfigurationandmoreimportantlysatisfythebuyerthatthesystemisreliableandrobust.
StartingatonlyUSD$1,750foraSingleUserLicense,thisreportprovidesvaluableinformationintohowVideoSurveillanceandITcompaniesaredevelopingtheirbusinessesthroughInvestment,M&AandStrategicAlliance.
Table of Contents Preface
ExecutiveSummary
1.Introduction
2.AITechnologyanditsimpactonIntelligentVideoAnalyticsSolutions
2.1ThePanoramaofAI–IoT,BigData&Blockchain
2.2AIChipTechnologiesDiversify&OpenupNewApplications
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2.3TheDevelopmentofAIChipTechnology–MachineLearning&DeepLearning
2.3.1TheDevelopmentofAIChipTechnology
2.3.2MachineLearning&DeepLearning
2.4TheAdvantagesofDeepLearninganditsAlgorithms
2.4.1DeepLearning
2.4.2Start“Shallow”go“Deep”
2.4.3“ArtificialAspects”to“AspectLearning”
2.4.4KeyFactorsofDeepLearning
2.4.5ApplicationofDeepLearningProducts
2.4.6TheCostofDeepLearning
2.4.7SpikingNeuralNetworks
2.5ThereisaGrowingNecessityforAIVideoAnalytics
3.MarketSizeofVideoSurveillanceSystems&VMSSoftware
3.1MarketSizeofVideoSurveillanceEquipment2017&Forecastto2022
3.1.1ImplicationsofUsing2DCamerasforAIAnalytics
3.1.2ImplicationsofUsing3DCameras
3.1.3ImplicationsofUsingThermalCameras
3.2MarketSizeofVideoManagementSoftwareSystems2017&Forecast2022
4.MarketSizeofVideoAnalyticSoftware&TransitiontoAIVideoAnalyticsSoftware
4.1MarketSizeofVideoAnalyticSoftware2017
4.1.1VideoAnalyticSoftwareabouttoreachtheInflectionPoint
4.1.2WhyVideoAnalyticSoftwarehasanimmenseGrowthPotential
4.1.3TraditionalVideoAnalyticAlgorithmsLackSophistication
4.2HowWillAIVideoAnalyticsbeApplied
4.2.1AddonCameraAnalytics
4.2.2AnalyticsAppliance/Encoder
4.2.3CloudAnalytics
4.2.4EmbeddedCameraAnalytics
4.2.5EmbeddedDVR/VMSAnalytics
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4.2.6ServerBasedAnalytics
4.3TheWorldMarketforAIVideoAnalytics
5.AssessingtheSupplySide&CompetitiveLandscape
5.1TheWorlds’LeadingCameraSuppliers
5.2TheWorlds’LeadingVMSSuppliers
5.3TheWorlds’LeadingVideoAnalyticSuppliers
5.4TheWorlds’LeadingAIChipManufacturers
5.4.1AISemiconductorChips
5.4.2WhereareweatTodayinApplyingAITechnology
5.4.3ChallengesinApplyingAITechnology
5.4.4ChallengesRunningAIatthe‘Edge’ofNetworks
6.EvaluatingtheDemand&SupplySideChallenges
6.1DemandforVideoAnalytics
6.2OvercomingtheSupplySideChallengers
6.3LeadingVerticalsforAIVideoAnalytics
6.3.1HowIntelligentVideoCanMakeSmartCitiesSee
6.3.2TransportgoesforAIVideoAnalyticSolutions
6.3.3RetailBuildingsgoforAIVideoAnalyticSolutions
6.3.4FacialRecognitionAnalyticsMovestotheEdge
6.4ConnectingAI–IoT–BlockChain
6.5CanAIVideoAnalyticsSoftwareDeliver?
7.ChannelsofDistributionforAIVideoAnalyticSolutions
7.1ThroughtheVideoSurveillanceNetwork
7.2IntheCloud
8.Funding–Investment&IntellectualPropertyintheRaceforAITechnology
8.1Funding&InvestmentinAIChips&Software
8.2AIPatents3rdFastestGrowingCategory2013to2017
9.VentureCapitalisInvestingEnormousFundsinAI
9.1InvestmentinAI&MachineLearningCompanies
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9.2ChineseInvestorsPourBillionsintoAISolutions
10.Mergers&Acquisitions–StrategicAlliances
10.1StrategicAlliances
10.1.1IBM–CenterforOpenSourceDataandAITechnologiesinSanFrancisco
10.1.2NvidiaandARMPartnerforChipmakerstoEmbedDeepLearning
10.1.3AmazonDeepLearningPartnershipWithAgentVi
10.1.4Google&BaiduSpearheadMLPerf
10.2Mergers&Acquisitions
10.2.1GoogleandApple’sGlobalAcquisitions
10.2.2Facebook’sComputerVisionCollection
10.2.3Qualcomm
10.2.4Intel
10.2.5CanonAcquiresBriefcam
10.2.6MotorolaAcquiresAvigilon
10.2.7NortekSecurity&ControlAcquiresIntelliVisionTechnologiesCorp
List of Figures
Fig2.1MachineLearning&DeepLearningCapability
Fig3.1WorldSalesofVideoSurveillanceProducts2017–2022($b)
Fig3.2WorldVMSMarketforVideoSurveillance2013–2022($m)
Fig4.1TheWorldMarketforAIVideoAnalyticsMarket2017–2022($m)
Fig5.1PerformanceofEstablishedPlayers/NewVentures/Challengers/LeadersintheVideoSurveillanceCameraMarket2017
Fig5.2PerformanceofEstablishedPlayers/NewVentures/Challengers/LeadersintheVMSMarket2017
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List of Tables
Table5.1DirectoryofAISemiconductorSpecialist&VideoAnalyticSuppliers2018
Table8.1USMachineLearningPatentApplicationsin2017byCompany
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