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The global machine vision market is estimated to witness growth at a CAGR of 5.90% in the forecast years from 2023 to 2030. Get more insights into our blog
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Machine Vision Market: Industry 4.0 Shift to Boost Prospects Thedesiretoreducehumaninterferenceinvariousoperationsandaccelerateprocessefficiencyhasnecessitatedtheadoptionofautomation.Adigitallyfocusedworld,coupledwithrapidlyevolvingtechnology,haspavedthewayforadvancedautomation,suchasmachinevision(MV).AccordingtoTritonMarketResearch’sexperts,theglobal machine vision marketisestimatedtoadvanceat aCAGRof5.90%intheforecastyearsfrom2023to2030. Machinevisionprovidesinnovativesolutionsinthedirectionofindustrialautomationforarangeofmanufacturingprocesses.Iteffectivelyreplacestheneedforhumanscrutinyforvisualinspectionandqualitycontrol,andisthebestsolutionfortediousinspectionasitcanquicklyextractpreciseinformation.Theneedforsuperiordefectdetectionisakeydriverofthemarket,asanumberoforganizationsacrossseveralindustryverticalsareseenadoptingMVsystems. MachineVisionSystems– DeploymentScopeacrossVerticals Theelectronics,semiconductor,andautomotiveindustrieshavebeenthetraditionalend-usersofMVsystemsduetotheincreasedneedforqualityinspectionandvisualdatacollection.However,inrecentyears,morenon-traditionalsectorshavecommencedusingmachinevisioncomponentsfortheirspecific applications,therebyinfluencingmarketgrowth.
Machinevisionseeshugepotentialinhealthcare,whichisexpectedtogrowwiththehighestCAGRof6.53%intheverticalsegmentovertheforecastperiod.Thepharmaceutical&medicaldeviceindustriesareemergingasleadingusersofmachinevision,withagrowingdemandforapplication-specificsystems.Pharmacompaniesproducemillionsofcapsules,tablets,caplets,andgelseachmonth,withthehelpofadvancedsystemsusedinthepharmaceutical continuous manufacturing market. Carefulinspectionofeachoftheseproductsisrequiredbeforetheyarepackedandshippedtodistributors.Withtheirhighaccuracy,ASMVsystemslargelyhelpinthisregard,astheyarespeciallybuilttoaccommodatevariationsinproductdesignandsize,amongotherfactors. ManufacturersinthefoodindustryhavealsoturnedtoMVsystemsinordertoimprovethequalityoftheirproductsandreducewaste&manuallaborcosts.Theyareacost-effectiveoptiontoevaluatequalityandensureahighlevelofconsistency,thusofferingfoodproductmanufacturingcompaniesmultiplebenefitsovermanualinspectiontechniques. Food&packagingisanticipatedtogrowataCAGRof6.25%intheverticalsegmentintheperiod2023-2030.ThefoodprocessingsectorinJapanhasgrownsignificantlyduetoincreasedconsumerdemand.Thishaspromptedfirmstoimplementautomationsolutionstoboostproductionandinfluencedthedemandformachinevision.AlongwithSouthKoreaandChina,thecountryaccountsforthemajorrevenueshareoftheAsia-Pacific machine vision market,whichisexpectedtorecordaCAGRof6.66%overtheestimatedperiod. ProspectsintheComingYears Artificialintelligenceandmachinelearning,alongwithemergingtechnologieslikecomputational,non-visible,and3Dimaging,havebolsteredtheefficiencyofmachinevisionsystems,whicharebeingincreasinglyadoptedacrossarangeofmanufacturingindustries.InFebruary2022,BaslerAGexpandedits3Dimagingofferingbyaddinganindustrial-gradestereocameraseriestoitsexistingproductportfolio,recordingincreasedsales. Furthermore,manufacturinghubslikeChinaandGermanyareupgradingtofullyautomatedsmartfactoriestostayaheadofcompetingnations.TheUnitedArabEmiratesalsoestablishedtheMobilissmartfactoryinDubai,deployingadvancedtechnologieslikerobotics,theInternetofThings(IoT),andcloudcomputingforitsmanufacturingprocesses.TheadoptionofIndustrialIoT,whichlinksproductiontechnologywithinformationtechnology,hasledtoarenaissanceinthefieldofmachinevision.Itsintegrationfacilitatesextensivedatacaptureandleveragesanalyticstooptimizefactoryoperations. FinalWords MachinevisionwillplayacrucialroleinthemovetowardsIndustry4.0,especiallywiththeadvancementsindataanalytics.AgileandpreciseMVsystemsoffer100%productinspection,lowfalserates,andreal-timequalitycontrol.Datacapturedfromthesesystemscanbeusedalongwithcentralizeddataanalytics&visualizationtechnologiesinordertogaindeeperinsightsintoimprovingproductquality,yield,andbusinessprocesses.Thus,industriesareincreasinglyemployingadvancedtech-integratedsystemstobroadencapacitiesandgainacompetitiveadvantage,whichwillbolsterthe machinevisionmarket’sdevelopmentprospectsinthejourneytowardsautomation.
FAQs: Q1)Whataretherevenueestimatesforthemachinevisionmarket? Theglobalmarketformachinevisionwasvaluedat$11267.65millionin2022.Itisestimatedtogainarevenueof$17890.88millionby2030. Q2)WhicharethedifferentverticalsinwhichMVsystemsareused? Automotive,electronics&semiconductors,healthcare,food&packaging,andotherindustriesarethekeyverticalsthatusemachinevisionsystems. Q3)Whicharethecomponentsusedinmachinevisionsystems? MVsystemsaremadeofsoftwareandhardwarecomponents.Thelatterfurtherconsistsofilluminations,cameras,ASMV,processors,sensors,andotherhardwarecomponents.