statita2019年数字经济指南英文20195230页

DIGITALECONOMYCOMPASS20192Digitaltechnologiesaredisruptingtheeconomyandourdailyliveswithrelentlessstride.Asmuchastheever-increasingamountofdataishelpingus,italsoleadstorisksandchallenges.OnewaytodealwiththeincredibleamountofdataistheuseofArtificialIntelligence–abuzzwordthatnobodycanescapeatthemoment.Butwhatisreallyhappeninginthisfieldandwhoisusingthistechnology?Anothertopicthatisgainingrelevanceisthenexteconomicrecession.Despiteallthetalkaboutgrowthandinnovations,thereistherisingfearofanoverheatingmarketandtheemergenceofanotherbubblethatisabouttoburst.ThesearethetopicsthatwearetacklinginthisthirdeditionoftheDigitalEconomyCompass.Wehavecompiledthemostrelevantandrecentdataandfoundsomeanswersandnewquestionsalongtheway.Similartotheprioreditions,theDigitalEconomyCompass2019isdividedintotwoparts.Thefirstonecoverstoday’smostexcitingandimportanttrends.Itstartswiththedataexplosionandhowthegrowingamountofdatawillchangetheworld.InthechapteraboutArtificialIntelligence,weanalyzehowsmartmachinesinfluenceourdailylives,howtheyareused,andwhattheycando.Thechapteraboutthecurrentfundingandinvestmentmarketlooksatthebigplayers,thenewcomers,andtheunicornsinthetechmarket.Additionally,wehaveanalyzedthecurrenteconomicsituation,differentdevelopments,andthepotentialimpactonstart-upsandthedigitaleconomy.Inthesecondpart,weshowalltherelevantdataandinsightsregardingthebiggesteightdigitalmarkets.Thisincludesmarketsizingandforecastsforfuturedevelopmentsaswellasanoverviewofcurrenttrendsthatarerelevanttotherespectivemarkets.Apartfromexternaldata,thisyear’sDigitalEconomyCompassincludesmoreofStatista’sexclusivedatathanever.Ourownresearchandmarketanalyseshaveincreasinglybecomethefoundingstoneofouranalysesandinsights.OurGlobalConsumerSurveyisgivinginsightsintothemindsofmorethan400,000consumersin46countries.Youcanfindandanalyzemorethan5,000brandsinthesurvey.OurConsumerandDigitalMarketOutlooksareavailablefor150countries,coveringallrelevantmarketsworldwide.Allthisinformationandmorecanbefoundonstatista.com.TheecommerceDB.comgivesinsightsintomorethan10,000onlinestores.Youcanfindmoreinformationaboutourproductsonpp.225–228.Ourresearchhasresultedinmorethan200slidesontheglobaldigitaleconomy.WeareconvincedthatyouwillenjoyreadingournewDigitalEconomyCompass.Dr.FriedrichSchwandt(CEO)Globaltrends▪Dataexplosion:Howthegrowingamountofdatawillchangetheworld……….…………………………………………………………………………………….………………………....▪ArtificialIntelligence:Howsmartmachinesinfluenceourdailylives……………………………..…………………………………………………………………….…………………………...▪Funding&investment:Thebigplayers,thenewcomers,andtheunicorns.…………..………………..……………………………………….………………………..........................StatistaDigitalMarketOutlook▪Overview…………………………………………………………………………………………………………………………………………………………………………………………………………………………….....▪eCommerce……………………………….………………………………………………….…………………………………………………………………………………………………………………….……………....▪eServices…………………………………………………………………………………….……………………………………………………………………………………………….……………………….……………....▪eTravel…………………………………………………………………………………….…………………………………………………………………………………………..……………………………….……………....▪DigitalMedia…………………………………………………………………………………….………………………………………………………………………………………………………………….……………....▪FinTech…………………………………………………………………………………….…………………………………………………………………………………………….…………………………….……………....▪DigitalAdvertising…………………………………………………………………………………….………………………………………………………………………………………………………….……………....▪SmartHome………………………………………………………………….………………….………………………………………………………………………………………………………………….……………....▪ConnectedCar.…………………………………………………………………………………….…………………………………………………………………………………………………………………….…………344841221291431581701821932042153Tableofcontents4Today’sworldanditsfuturearebuiltondata.Usersandcompaniesaremoreandmoreinterconnected.Additionally,thereisashiftfrombeingofflinetoalwaysonline.Bothdevelopmentshaveledtothecreationofanincredibleamountofdatathatisgrowingexponentially.Whilemanycompaniesalreadytrytomakeuseoftheircustomers’dataordataextractedfromproductionprocesses,theimplicationsofusingBigDatacannotyetbefullyassessed.Companiesthatareabletoputtheirdatatouse,willhavemorebusinessopportunitiesandimprovecurrentproductionanddistributionmodels.Adata-drivenworldisbasedonaggregatingandworkingwithallthecollectedinput.Thus,itisallabouttracking,monitoring,listening,watching,andobserving.Themoreadvancedthedata-processingsystemsbecome,thebettertheiroutputwillbe.Whenusedproperly,largedatasetscanimprovedecision-makingandbusinessprocesses,helpwithinnovations,andleadtopersonalizationinsectorslikeentertainment,healthcare,orfinancialservices.DatastorageOneofthemainchallengesregardingtheuseoflargedatasetsisfindingwaystostoreandlateranalyzethem.Thetotalamountofdatageneratedin2018was33zettabytes(330milliontimesthecapacityofthecurrentlylargestharddrive)anditwillgrowexponentiallytomorethan2,100zettabytesin2035.Sincetraditionalstoragesolutionsareincapableofhandlingtheincomingstreamofdata,newsolutionssuchasCloudstorageandBlockchaintechnologiesaregainingtraction.Cloudstoragewillovertakedevicestoragein2019.TheshifttowardsCloudsolutionsisespeciallyvis