版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進行舉報或認領(lǐng)
文檔簡介
THE9TH
ANNUAL
BITMOVIN
VIDEO
DEVELOPER
REPORT
2025/2026Edition
CONTENTS
Welcome4
Keyfindings6
Methodology8
THESTATEOFTHESTREAMINGINDUSTRY
Thebiggestchallenges12
Innovationandpriorities14
AIandmachinelearning16
VIDEOENCODING
VideoEncoding20
Videocodecs22
Audiocodecs23
Livestreamingformats25
Distributionstreamingformats26
Low-latencystreaming27
Content-awareencoding29
VIDEOPLAYER
Platformsanddevices32
Playercodebase34
Developmentframeworks35
VIDEOANALYTICS
Videoanalyticsproviders38
Videoanalyticsdata40
Videoperformancemetrics41
Developmenttimespent42
Investigatingstreaming-relatedissues43
MONETIZATION,CONTENTPROTECTIONANDDISTRIBUTION
Monetizationmodels46
Adarchitecture47
CDNSolution49
Contentprotection50
andobservabilityissuesmakeplayback
reliabilityandroot-causeanalysisascriticalasever,especiallywiththerisingdemandforliveeventstreamingatscale.
Withnineyearsofdatabehindus,
thisreportdoesnotjusttracktrends,
ithighlightsthelong-termshiftsthat
definehowvideoisbuilt,delivered,and
experienced.Iamproudofwhatourteamandcommunityhavecreated,andgratefultothehundredsofprofessionalswho
sharedtheirtimeandinsights.
Ihopethisyear’sreporthelpsyou
benchmarkyourworkflows,navigate
industrychange,andcontinuebuildingexceptionalstreamingexperiencesforyourviewers.
Welcometo
the9theditionofBitmovin’s
AnnualVideoDeveloper
Report!
I’mproudtointroducethe9theditionof
theVideoDeveloperReport,ourmost
comprehensivetodate,witharefreshed
survey,significantlymoreresponses,andareturntoouroriginalIBCreleasetiminginSeptember.
Onekeyshiftstandsout.Costcontrolhasovertakenadinsertionastheindustry’stopchallenge.Videoteamsareincreasingly
SSAIcontinuestoleadinaddelivery
architectures.Wearealsoexcitedabout
thefutureofSGAIasthenewarchitecturetrendthatenablesricheruserexperiences.Beyondthesurveyfindings,multi-cloud
strategiesarebeginningtogainrelevanceacrosstheindustryasawaytoincreaseresiliencyandflexibility.Thenarrativehasclearlyevolvedfromexperimentationto
optimization.
AnothermajortakeawayisthatAIadoptionisnolongerexperimental,itisstrategicandROI-driven.Fromaccessibilitytodiscovery,personalizationtorecommendations,
AIisbeingdeployedwhereitdeliversmeasurableimpact.Speech-to-
text,tagging,anduserexperience
enhancementsareleadingtheway,whilegenerativeAIuseremainslimited.The
STEFANLEDERER
CEO,Bitmovin
messageisclear.AIismaturingfast,andvideoworkflowsarealreadyreapingthebenefits.
focusedonmanagingbandwidth,
storage,andinfrastructurecosts,evenasmonetizationmodelsdiversify.AVODandSVODarenowinclosecompetition,FASTadoptionremainsstrong,and
Despiteallthisinnovation,reaching
everyscreenwithaconsistentqualityofexperienceremainsaconstantchallenge.
Fragmentedplatforms,devicediversity,
45
67
KEYFINDINGS
Costcontrolandmonetizationpressures
.Controllingcost(bandwidth,storage)isthetopchallengeat38%,narrowlyovertakingadinsertion(35%).
.Regardingmonetizationmodels,AVODandSVODareinnearparity,FASTadoptionremainsstrong,andSSAIistheleadingadarchitecture.
.Comparedto2024’sspikeinadinsertionconcerns,thisyearshowsamorecost-consciousbalanceacrossmonetizationworkflows.
Experienceandreachremaincorepriorities
.Playbackonalldevicesremainsamajoroperationalchallengeduetoongoingplatformanddevicefragmentation.
.Observabilitygapspersist,withroot-causeanalysisforstreamingissuesoftentakinghoursinsteadofminutes.
.Liveencodingatscaleisrisinginimportance,drivenbytheshiftofsportsandeventsfrombroadcasttostreaming,butqualityandreliabilityexpectationsremainhigh.
Workflowanddeliverystrategiesarediversifying
.Resiliencyremainsatoppriority,withmultiplethird-partyCDNsthemostcommondeliverysetuptosafeguardperformanceandavailability.
.Commercialsolutionsaresteadilyreplacingpurein-housebuildsforencoding,DRM,CDNs,andplayers,givingteamsfastertime-to-marketandsupportedfeaturesets.
.Analyticsistheareawherein-houseremainsstrong,asteamscontinuetobuildcustompipelinesanddashboardstoretainflexibilityandcontrolovertheirdata.
.VODencodingcontinuestoleantowardsoftwareinthepubliccloud,whileliveencodingstillreliesheavilyonhardwareappliancesdeployedon-premises.
AIadoptionismainstreamandROI-driven
.ThemostusedAIapplicationsareaudiotranscription/speech-to-text,tagging/categorization,personalization,andrecommendations.
.Onlyasmallminorityreport“noplans”forAI,withadoptionfocusedonaccessibility,discovery,andQoEimprovementsratherthanexperimentalorgenerativeusecases.
89
METHODOLOGY
METHODOLOGY
Methodology
COMPANYSIZEJOBTITLE
Thisisour9thyearofrunningourBitmovin
conductedinJuly2025.Theresponsesprovidedstrongrepresentationoftheglobalmarket,
comingfromadiverserangeofvideodevelopersandindustryexpertsworkingatcompanies
locatedin49differentcountries.Participation
byregionwasledbyEMEAwith43%ofour
participants,followedbyNorthAmericaat31%,theAsiaPacificregionat19%andLatinAmericawith7%oftotalresponses.
Asanumberofthequestionsaremultiple
choice,youwillnoticethatanumberofthese
multiple-choice/answerquestionshavean
aggregatethatwillnotaddupto100%.Inthesecases,thenumberindicatesthepercentage
ofrespondentsthatchoseeachoption.Like
lastyear,wehaveusedarankingoptionfor
anumberofthequestionsandhaveadaptedsomeofthequestionstoalignwiththerecentadvancementsintechnologydevelopment.
Pleasekeepinmindthatthesurveywasopenforeveryonetoparticipate,buttheresultsmaybesomewhatskewedtowardtheBitmovin
customerbase.
VideoDeveloperReport.Thesurveywas
26%27%
1-50
1,000+
15%
51-100
16%
17%
301-1,000101-300
REGION
43%
EMEA
18%
APAC
7%31%
LATAMNORAM
28%
DEVELOPER/ENGINEER
14%
PRODUCT
8%
ARCHITECT/
CONSULTANT
5%
OTHER
26%
MANAGER/CEO/VP
5%
SALES&
14%
TECHNICALMANAGER
MARKETING
INDUSTRY
39%
22%
20%
5%
4%
4%
2%
1%
eSports&Gaming
1%
2%
Other
Entertainment&OTT
SportsTelco
&Cable
Broadcast
eCommerce
News
&Publishing
Health&Fitness
EdTech
&eLearning
TheStateof
theStreamingIndustry
Thestreamingindustryisinconstantflux,requiringvideoteamsto
balancenewstandards,changingworkflowrequirements,andevolvingviewerexpectations.Meanwhile,theeconomicrealitiesofthepastfewyearshaveguidedbusinessdecisions,influencingeverythingfromOTTrevenuemodelstotechnologyadoption.
Thisreportoffersasnapshotoftheindustry’scurrentstate,highlightingkeychallengesandtrends.Ouraimistokeepapulseontheevolving
worldofvideotechfromencodingandplayertechnologiestoanalyticsandmonetizationstrategies.
Don’tforget,youcanjointheconversationonsocialmediausingthishashtag#VideoDeveloperReport
1213
THEBIGGESTCHALLENGES
Whatarethetopthreebiggestchallengesyouareexperiencingwithvideotechnologytoday?
Costcontrolhasemergedasthetop
challengeforvideoteamsin2025,with38%ofrespondentsselectingit,overtakingad
insertionat37%,whichledlastyear.This
shiftreflectsasharperfocusonmanaging
bandwidthandstorageexpensesaseconomicpressurescontinuetoshapestrategy.While
monetizationworkflowsremaincomplex,
theconversationhasbroadenedtoinclude
efficiencygainsacrossthestreamingpipeline.
Playbackonalldevicesremainsamajorissue
at31%,highlightingongoingdifficultiesin
deliveringconsistentexperiencesacrossa
fragmenteddeviceecosystem.Othernotable
challengesincludepinpointingtherootcauseofqualityissues,maintainingconsistentmonitoringandanalytics,andachievinglowlatencyforlivecontent.Together,theseresultsunderscorea
marketbalancinggrowthambitionswiththerealitiesoftighterbudgetsandtheneedtooptimizeexistingworkflows.
THEBIGGESTCHALLENGES
Controllingcost(e.g.,bandwidth,storage)38%
Adinsertion37%
Consistentmonitoringandanalytics31%
Playbackonalldevices31%
Findingtherootcauseofissues27%
QualityofExperience(QoE)forviewers23%
Live(low)latency21%
Viewerengagementwithvideo18%
Watermarking/DigitalRightsManagement(DRM)18%
Delivery(CDNissues)13%
Qualityassuranceandtesting13%
Connectingpointsolutions9%
QualityofService(QoS)withbandwidthrestrictions9%
Sustainability/GreenStreaming6%
Other8%
1415
INNOVATIONANDPRIORITIES
INNOVATIONANDPRIORITIES
Advertising20%
(AI-generated)Recommendations19%
Livestreamingatscale12%
AI-generatedcontentandvideoenhancements10%
Wheredoyouseethemostopportunityforinnovationinyourservice?
Innovationprioritiesin2025centeron
monetization,personalization,andlive
performance.Advertisingleadsat20%,
reflectingapushtomodernizeadtech
stacks,improvetargeting,andboostyieldwithoutcompromisingviewerexperience.AI-drivenrecommendationsat19%signalastrongappetiteforusingmachinelearningtodeepenengagement,retention,and
discovery.Livestreamingatscale(12%)andAI-generatedcontent/enhancementshighlightparallelbetsonoperational
robustnessformajoreventsandcreativeefficiencygainsthroughautomation.
Otherprioritiesincludeimprovingreal-time
experiences,streamanddevicetesting,
andprotectingcontentintegrity,alongside
qualityupgradeslikeHDRandmore
efficientdelivery.Emergingareassuchas
sustainability,extendedreality,VoD-to-Live
workflows,andimmersiveaudioremainniche,eachat3%orless,suggestinginvestmentwillfirstfocusonmonetization,personalization,
andscalablelivedelivery.
Low-andultra-lowlatency
8%
Streamanddevicetesting
6%
Contentprotection
6%
Enhancedcolor(HDRorDolbyVision)
6%
Mediadeliveryanddistribution
5%
Sustainability/GreenStreaming
2%
XR(Virtual/Augmented/MixedReality)applications
2%
Other
2%
VoD-to-Live
2%
Immersiveaudio(i.e.DolbyAtmos)
1%
1617
AIANDMACHINELEARNING
AIANDMACHINELEARNING
Audiotranscriptionandspeech-to-text46%
Personalization35%
Taggingandcategorizingvideo35%
Forwhichofthefollowingvideousecasesdoyouexpecttousemachinelearning(ML)orartificialintelligence(AI)toimprovethevideoexperienceforyourviewers?
AIadoptionin2025issettobeamainfocusformanyservices,withthestrongestfocusonmetadata,accessibility,andpersonalization.
Audiotranscriptionandspeech-to-text
leadsat46%,reflectingapushtoimprove
captions,searchability,andcompliance
atscale.Personalizationandtagging/
categorizationfollowclosely,eachat35%,withrecommendationsalsohighonthelist.
Quality-focusedapplicationsarenext,with
videoqualityoptimizationandQoEamongthetopfiveuses,indicatingteamsareleveraging
AItorefineencodingladders,predictissues,
andtargetfixesbeforeviewerschurn.Computervisionworkflowssuchasobjectdetection,
scene/shotboundaryidentification,andin-
picturelogodetectionarematuring,supportingchaptering,highlights,andbrandsafety.
GenerativeAIisemerging,andweexpectittobeoneofthemainfactorsinfuturereports,
butitstilltrailsthesefoundationalapplications.Finally,only4%reportnoplanstouseAI,
underscoringitsshiftfromexperimentationtocorepipelineinvestment.
Recommendations
33%
Videoqualityoptimization
29%
Objectdetection
26%
Sceneorshotboundaryidentification
23%
QualityofExperience(QoE)
20%
Obscenitydetection/contentcompliance
20%
Generatingvideoorimagecontent
19%
In-picturebrand/logodetection
18%
QualityofService(QoS)
16%
NoplanstouseAI/ML
4%
Other
2%
Video
Encoding
Encodingiswhatmakesstreamingpossible,transformingrawvideocontentintoadigitalformatsuitableforonlinedelivery.Thissectionexplorestrendssurroundinginfrastructuredeployment,videocodecusage,andstreamingprotocoltrends.Wealsoexaminethefactorsdrivingencodingdecisions,suchascost-efficiency,scalability,andtheneedtosupportdiversedevicesandplatforms.
Don’tforget,youcanjointheconversationonsocialmediausingthishashtag#VideoDeveloperReport
2021
VIDEOENCODING
LiveEncodingVODEncoding
SOFTWAREENCODER-PUBLICCLOUD
25%
29%
SOFTWAREENCODING-PRIVATECLOUD/ON-PREMISE
30%
32%
MANAGEDENCODINGSERVICE-PUBLICCLOUD
23%
26%
MANAGEDENCODINGSERVICE-PRIVATECLOUD/ON-PREMISE
17%
15%
HARDWAREENCODERAPPLIANCE-ON-PREMISE
29%
14%
Wheredoyouencodevideo?
Encodingstrategiesarehybrid,balancing
control,cost,andperformance.Privatecloud
oron-premsoftwareleadsforbothLive(30%)andVOD(32%),withhardwareappliances
closebehindforLive(29%)butfarlessforVOD.Publiccloudsoftwareiswidelyusedtohandle
peaksandexpansion,whilemanagedservices,
especiallyinpubliccloud,tradecontrolfor
speedandsimplicity.Livepipelinesfocuson
reliabilityandlowlatency,whileVODemphasizesscale,automation,andefficiency.
VIDEOENCODING
LiveEncodingVODEncoding
COMMERCIALENCODER
48%
38%
OPENSOURCEENCODER
18%
29%
IN-HOUSESOLUTIONBUILTONOPEN-SOURCE
20%
24%
Whattypeofencoderdoyouuse?
Encoderchoicesfollowahybridstrategy
splitbyworkload.Commercialencoders
leadforLive(48%)overVOD(38%),
reflectingthepremiumonreliability,vendorsupport,andreal-timeperformance.VOD
workflowsleantowardflexibilityandcostcontrol,withopen-sourceat29%andin-
housebuildsat24%.LivepipelinesprioritizestabilityunderSLA,whileVODincreasinglyblendsopen-sourceandcustomlayersto
adoptemergingcodecs,optimizecost,andfine-tunequality,oftenwithinthesame
organization’sbroaderencodingstrategy.
2223
VIDEOCODECS
Planningtoimplement
AUDIOCODECS
Planningtoimplement
65%
41%
21%
16%
8%
6%
13%
15%
7%
2%
3%
6%
4%
7%
5%
3%
H.264/AVCH.265/HEVCAV1H.266/VVCVP9MPEG-5/EVCMPEG-5/L
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
- 6. 下載文件中如有侵權(quán)或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 2025西藏昌都瀾滄江投資有限責任公司招聘1人考試重點題庫及答案解析
- 房屋買斷權(quán)協(xié)議書
- 廢品轉(zhuǎn)讓協(xié)議書
- 工廠投資合同范本
- 床子出租協(xié)議書
- 學生拜師協(xié)議書
- 延期留用協(xié)議書
- 小店股權(quán)協(xié)議書
- 誤傷同伴的協(xié)議書
- 項目打印機合同范本
- 2025年四級營養(yǎng)師考試題庫(含答案)
- 2025團員教育評議大會
- 服裝店入股協(xié)議合同
- 汽車金融公司培訓
- (正式版)JBT 9229-2024 剪叉式升降工作平臺
- 公司委托法人收款到個人賬戶范本
- 《楓丹白露宮苑景觀分析》課件
- 中國石油大學(華東)自動控制課程設(shè)計 雙容水箱系統(tǒng)的建模、仿真于控制-2
- 潘謝礦區(qū)西淝河、泥河、濟河、港河水體下安全開采可行性論證報告
- 創(chuàng)業(yè)人生(上海大學)【超星爾雅學習通】章節(jié)答案
- GB/T 4957-2003非磁性基體金屬上非導電覆蓋層覆蓋層厚度測量渦流法
評論
0/150
提交評論