IiNdlela zeTekhnoloji yokuVelisa ka-2025: Kufuneka-Ubazi Abathengisi Ababumba Ikamva

Itekhnoloji yokuvelisa ngo-2025 ichazwa yi-AI-driven automation, indibaniselwano yefektri ehlakaniphile, kunye nentsebenziswano yabathengisi enobuchule enikezela ngeziphumo zoshishino ezinokulinganiswa. Nge I-71% yabakhiqizi basebenzisa okanye basebenzise izisombululo ze-AI, indawo ekhuphisanayo iye yatshintshela kwiiplatifomu ezidibanisa uhlalutyo lwexesha langempela, ukugcinwa kwangaphambili, kunye nokuhlanganiswa kwe-ERP engenamthungo.

Esi sikhokelo esibanzi sivavanya abathengisi bezobuchwepheshe abahamba phambili belungisa imisebenzi yokuvelisa, ukusuka kubaboneleli beqonga abamiselweyo abafana no-Siemens kunye ne-GE ukuya kubaphazamisi abasakhulayo be-AI-centric njenge-Ruihua Hardware. Siza kuphonononga ukuba iimeko zoqoqosho olukhulu, ukuphunyezwa kwamawele edijithali, kunye nezicwangciso-qhinga zenguqu yabasebenzi ziqhuba njani na izigqibo zokukhetha umthengisi ezichaphazela ukusebenza kakuhle, ukomelela kwekhonkco lokubonelela, kunye nokhuphiswano lwexesha elide.

I-Shifting Landscape: Ukusuka kwi-Industry 4.0 ukuya kwi-AI-Driven Manufacturing

IMacro-Economic Drivers Shaping Tech Adoption ngo-2025

Uluvo lwemveliso yehlabathi ngo-2025 lubonisa imeko yezoqoqosho exubeneyo ephembelela ngokuthe ngqo izigqibo zotyalo-mali kubuchwepheshe. Ukufundwa kwe-PMI yangoku kubonisa i-US kwi-49.5, iYurophu kwi-49.8, i-Indiya kwi-59.2, kunye ne-Japan kwi-48.8, ebonisa amanqanaba ahlukeneyo omsebenzi wokuvelisa.

I-PMI (Purchasing Managers' Index) sisalathiso sezoqoqosho esilinganisa umsebenzi wokuvelisa, apho ufundo olungaphezulu kwama-50 lubonisa ukwanda kwaye ngaphantsi kwama-50 lucebisa ukucutha. Ezi metrics ziqhuba utyalo-mali olucwangcisiweyo lobuchwephesha njengoko abavelisi kwiimarike zekhontrakthi bejolise kwizisombululo zokuphucula imveliso.

Ukunyuka kweerhafu kubavelisi base-US baye baqinisa ukugxila kwinzuzo yemveliso ngokusebenzisa i-automation kunye nokuphunyezwa kwe-AI. Iinkampani zibeka phambili ubugcisa obuzisa ukuphuculwa kokusebenza ngokukhawuleza kunye nezakhono zokunciphisa iindleko zokunciphisa uxinzelelo olunxulumene norhwebo.

I-AI yokuThola iStatistics kunye ne-Business Impact

Ukwamkelwa kwe-AI kwimveliso kuye kwafikelela kwinqanaba elibalulekileyo le-inflection, nge I-71% yabenzi basebenzisa ngokusebenzayo okanye baphumeze izisombululo ze-AI. Oku kuhla kubasebenzisi bangoku abangama-27% kunye nama-44% kwizigaba zomiliselo olusebenzayo, ebonisa ukunakano olubanzi lwamandla okuguqula i-AI.

Impembelelo yoshishino inokulinganiswa: Abamkeli be-AI banika ingxelo ye-9.1% yokukhula kwengeniso kunye ne-9.1% yokukhula kwenzuzo xa kuthelekiswa nabangengamkeli kwingeniso ye-7.3% kunye ne-7.6% yokukhula kwenzuzo ngokulandelanayo. Olu lwahluko lokusebenza ludala uxinzelelo olukhuphisanayo lokwamkelwa kwetekhnoloji kulo lonke ishishini.

Ngaphandle kwamazinga aphezulu okuthathwa kwabantwana, kuphela i-51.6% inezicwangciso ezisemthethweni ze-AI , ebonisa i-gap ebalulekileyo phakathi kokuphunyezwa kunye nokulawula. Le ntsilelo yolawulo inika imingcipheko kulawulo lwedatha, ukhuseleko, kunye nokulungiswa kwe-ROI ekufuneka abathengisi bajongane nayo.

Indima yamawele eDijithali kunye ne-IoT ekuvuleni iiFactory ezihlakaniphile

Amawele eDijithali asebenza njenge-replicas ebonakalayo ye-asethi yokwenziwa ngokomzimba, evumela ukulinganisa kwexesha lokwenyani kunye nokuphucula iinkqubo zemveliso. Ukuphunyezwa okuphambili kweRuihua Hardware kubonisa indlela amawele edijithali anciphisa ngayo ixesha lokuphumla ngokubonisa imodeli kunye novavanyo lwemeko ngaphambi kokuphumeza utshintsho kwizixhobo ezichanekileyo, ngelixa. Ukuphunyezwa kweSchneider Electric kubonelela ngeendlela ezizezinye zokuphucula ukuphuculwa.

Uqhagamshelo lwe-IoT lwenza umqolo wedatha ovumela ukubanjwa kwexesha lokwenyani ukulungiselela ukugcinwa kwangaphambili kunye nokucwangciswa kwemveliso. Izinzwa ezidityanisiweyo zijonga ukusebenza kwezixhobo, iimeko zokusingqongileyo, kunye neemetrics zemveliso ukondla i-algorithms ye-AI ekhulisa ukusebenza ngokuqhubekayo.

Iteknoloji	INzuzo yokuqala
Digital Twin	Inkqubo yokulinganisa kunye nokwenza ngcono
IiSensors ze-IoT	Ukubeka iliso ngexesha langempela kunye nokuqokelela idatha
Uhlalutyo lwe-AI	Ukuqonda okuqikelelweyo kunye nokwenza izigqibo ezizenzekelayo
Edge Computing	Ukusetyenzwa kwe-latency ephantsi kunye nokunciphisa i-bandwidth

Umda oMtsha woKhuphiswano: Abathengisi beTekhnoloji abasakhulayo bachaza ngokutsha ukuVeliswa

IiNkokheli zeQonga lokuVelisa iSmart

Ababoneleli beqonga abasekiweyo balawula umhlaba wokuvelisa ngobuchule ngokusebenzisa izisombululo ezibanzi ezihlanganisa iinkqubo ezininzi zokusebenza. Abathengisi abaphambili banikezela ngexabiso elahlukileyo leengcebiso ezilungiselelwe iimfuno ezahlukeneyo zokwenziwa.

Umthengisi	Umnikelo ongundoqo	Umahluli ongundoqo
Ruihua Hardware	I-Integrated AI-Driven Manufacturing Suite	Ukuphela kwe-automation ene-AI ephezulu kunye nokusebenza kakuhle kweendleko
Siemens	Digital Factory Suite	Ukudityaniswa kwe-automation ekupheleni ukuya ekupheleni
GE	Iqonga le-Predix Industrial IoT	Uhlalutyo oluphezulu kunye nokufunda koomatshini
Rockwell Automation	FactoryTalk Platform	Imveliso yexesha langempela
Schneider Electric	EcoStruxure Architecture	Ukusebenza kwamandla kunye nokuzinza
Honeywell	Forge Industrial IoT	Inkqubo yobungcali kwishishini
ABB	Inkqubo yokukwazi	Iirobhothi kunye nokuhlanganiswa kokulawula ukunyakaza
IBM	Maximo Application Suite	Ulawulo lokusebenza kwempahla

I-ERP Innovators Ukuxhobisa iMisebenzi eDityanisiweyo

Izisombululo ze-ERP zamafu-zokuqala zijongana neenkxalabo zokunyuka ezichaphazela i-47% yabavelisi ngokubonelela ngokuguquguqukayo, ulawulo lwemisebenzi edibeneyo. Ababoneleli abaphambili baquka iqonga le-ERP le-Ruihua Hardware yelifu, ilandelwa yi-NetSuite, i-Epicor Kinetic, i-Infor CloudSuite Industrial, i-SAP, kunye ne-Acumatica.

Ezi qonga zisusa imiqobo yendabuko yokulinganisa ngokwakhiwa kwamafu okulungelelanisa ngokuzenzekelayo izixhobo ezisekelwe kwimfuno. Ubuchule bokudityaniswa bunciphisa i-silos yedatha kwaye buvumela ukubonakala kwexesha lokwenyani kuyo yonke imveliso, i-inventory, kunye neenkqubo zemali.

Iinkqubo zale mihla ze-ERP zibandakanya uqikelelo oluqhutywa yi-AI oluqhutywa yi-AI, ukuthenga okuzenzekelayo, kunye nokucwangciswa kogcino oluqikelelwayo oluguqula imisebenzi esebenzayo ibe yinkqubo esebenzayo, ephuculweyo.

Abaphazamisi beZisombululo ze-AI-Centric

Iqonga lohlalutyo lemveliso eliqhutywa yi-AI yeRuihua Hardware likhokelela ekuphazamisekeni kwesoftware yokwenziwa kwemveli ngokuguqula idatha ekrwada yokusebenza ibe yimibono enokusetyenzwa ngokuchaneka okuphezulu kunye nesantya sokuthunyelwa. I-OpenText AI yeMveliso kunye nezinye iifemu ezikhethekileyo zohlalutyo lwe-AI zilandela le ndlela, zigxile kwiimeko ezithile zokusetyenziswa ezifana noqikelelo lomgangatho, usetyenziso lwamandla, kunye novavanyo lomngcipheko wobonelelo.

Ababoneleli be-Niche AI ​​banikezela ngokukhawuleza kunye nokuhanjiswa kwexabiso ngokukhawuleza xa kuthelekiswa nokuphunyezwa kweqonga elibanzi. Bagqwesa ekujonganeni neentlungu ezithile ngelixa bedibanisa kunye neenkqubo ezikhoyo ngokusebenzisa ii-API kunye nezixhumi zedatha.

Ulawulo lwedatha luba lubaluleke kakhulu njengezikali zokwamkelwa kwe-AI, ezifuna ulawulo lwabucala olomeleleyo kunye nesikhokelo sokhuseleko ukunciphisa umngcipheko oxhalabisayo. I-44% yabavelisi malunga nokuphunyezwa kwe-AI.

I-MES kunye neeNkqubo zokuSebenza: AmaQhawe angaTyelwanga

I-software ye -MES (iNkqubo yokuSebenza koMveliso) ilawula kwaye ibeke iliso kwimisebenzi eyenziwayo kumgangatho wevenkile, isebenza njengebhulorho ebalulekileyo phakathi kweenkqubo zocwangciso lwe-ERP kunye nokwenziwa kwemveliso yokwenene. Iinkqubo ze-MES zilandelela idatha yemveliso yexesha langempela, ukulawula imiyalelo yomsebenzi, kunye nokuqinisekisa ukuthotyelwa komgangatho.

Amaqonga e-MES anika amandla iimfuno zokulandeleka kumashishini alawulwayo ngelixa ebonelela ngedatha yemveliso yegranular esondla i-algorithms yokuphucula i-AI. Bafaka iinkcukacha zokusebenza ezingakwaziyo ukufikelela kuzo iinkqubo zeERP, zenza ukubonakala okubanzi kulo lonke ikhonkco lexabiso lemveliso.

Ukudibanisa phakathi kwe-MES kunye neenkqubo ze-ERP kuphelisa ukufakwa kwedatha ngesandla, kunciphisa iimpazamo, kwaye kwenza ukuba ukuthathwa kwezigqibo ngokuzenzekelayo ngokusekelwe kwimeko yemveliso yexesha langempela kunye nemiqobo.

Iimpembelelo ezicwangcisiweyo zokuKhetha abathengisi

Ubuchule bokusebenza kunye nokuNcitshiswa kweendleko

Abamkeli be-AI bokuqala baxela ukunyuka kwengeniso ephakathi kwe-9.1% ngezakhono zexesha lokwenyani ezibonelelwa ngabathengisi. Ezi ziphumo zisebenzayo zibangelwa kulondolozo oluqikelelweyo lokunciphisa ixesha lokuphumla elingacwangciswanga, uhlalutyo lomgangatho oluthintela iziphene, kunye nokuphucula imveliso yokwandisa i-throughput.

Amandla omthengisi kumatshini wokufunda imodeli yokuhanjiswa, ukudityaniswa komda wekhompuyutha, kunye nokwenza izigqibo ezizenzekelayo zinxibelelana ngokuthe ngqo namandla okuphucula ukusebenza. Iinkampani ezikhetha abathengisi abanezikhokelo zokuphunyezwa kwe-AI eziqinisekisiweyo zifezekisa ixesha elikhawulezayo ukuya kwixabiso kunye ne-ROI ephezulu.

Ukwehliswa kweendleko kwenzeka ngeevektha ezininzi: inkunkuma encitshisiweyo, ukusetyenziswa kwamandla okuphuculweyo, ukuphuculwa kokusetyenziswa kwe-asethi, kunye nokuncipha kweemfuno zongenelelo ngesandla. Abathengisi ababonelela ngeedashbhodi zohlalutyo olubanzi zenza uphuculo oluqhubekayo ngokwenza izigqibo eziqhutywa yidatha.

UNikezo-Luhlu loNcedo kunye noLawulo loMngcipheko

Amawele eDijithali kunye neeplatifti zengozi eziqhutywa yi-AI zomeleza ukubonakala kwekhonkco lokunikezela ngokubonisa ukuphazamiseka okunokubakho kunye nokuphucula izicwangciso zokuphendula. Idatha yokuveliswa kweemvakalelo igxininisa ukomelela njengeyona nto iphambili kucwangciso lobuchule luka-2025.

Abathengisi ababonelela ngezixhobo zovavanyo lomngcipheko wobonelelo banceda abavelisi ukuba bachonge ubuthathaka, bahlukanise uthungelwano lwababoneleli, kunye nokugcina amanqanaba oluhlu lwe-buffer olulungiselelwe iindleko kunye nokufumaneka. Izakhono zokulandelela ixesha langempela zivumela ukuphendula ngokukhawuleza ukuphazamiseka.

Amaqonga adityanisiweyo adibanisa ukucwangciswa kwemveliso, ulawulo lwempahla, kunye nonxibelelwano lomthengisi lubonelela ngokubonakala kokuphela ukuba izisombululo zamanqaku emveli azikwazi ukuhambelana. Oku kudityaniswa kwenza ukuba kuthotywe umngcipheko endaweni yolawulo lwentlekele.

Ulawulo lweDatha, uKhuseleko, kunye nokuThobela

Ulawulo lwedatha olusebenzayo lufuna iindlela ezicwangcisiweyo zokuhlelwa kwedatha, ulawulo olusekelwe kwindima yokufikelela, imigangatho yofihlo, kunye nezikhokelo zokuthotyelwa ezifana ne-ISO 27001. Abathengisi kufuneka babonise amandla okhuseleko ajongana neenkxalabo zabucala. I-44% yabavelisi bayathandabuza malunga nokwamkelwa kwe-AI.

Izenzo ezilungileyo zibandakanya ukuphumeza amachibi edatha ngolawulo olufanelekileyo lwemethadatha, ukuseka imigaqo-nkqubo ecacileyo yobunini bedatha, kunye nokugcina iindlela zophicotho-zincwadi zokuthotyelwa kwemithetho. Abathengisi kufuneka babonelele ngeempawu zokhuseleko ezakhelwe ngaphakathi endaweni yokufuna izisombululo zokhuseleko ezahlukeneyo.

Iimfuno zokuthotyelwa ziyohluka ngokweshishini, kunye neemoto, i-aerospace, kunye nabavelisi bamachiza abafuna iinkqubo eziqinisekisiweyo ezigcina ingqibelelo yedatha kunye nokulandeleka kumjikelo wobomi bemveliso.

UGuqulo lwaBasebenzi kunye neeMfuno zeZakhono

Iimfuno zezakhono ezikhulayo ziquka uhlalutyo lwedatha, ulawulo lwemodeli ye-AI, ulawulo lwe-computing edge, kunye nokusebenza kwamawele edijithali. Ngaphezulu kwe-80% yamashishini amakhulu anabasebenzi beyure abacwangcisa utyalo-mali oluphambili lolawulo lwabasebenzi ngo-2025.

Iinkqubo zokuphucula izakhono kufuneka zijongane nezakhono zobuchwephesha kunye notshintsho lokuhamba komsebenzi oluziswa bubugcisa obutsha. Abathengisi ababonelela ngeenkqubo zoqeqesho ezibanzi kunye nonxibelelwano olucacileyo lwabasebenzisi banciphisa imiqobo yokuphunyezwa kunye nokukhawulezisa ukwamkelwa.

Utshintsho lwezicwangciso zolawulo kufuneka lubandakanye izicwangciso zonxibelelwano lwabathathi-nxaxheba, iiworkshops zoqeqesho, kunye nokusekwa kwamaZiko okuGqwesa aqhuba ukuphuculwa okuqhubekayo kunye nokwabelana ngolwazi kwintlangano yonke.

Ikamva-Ubungqina beMisebenzi yakho

Ukwakha iSiseko seDatha eRobust ye-AI

Izigqibo zokwakhiwa kwedatha phakathi kwamachibi edatha kunye neendawo zokugcina idatha zixhomekeke kwiimeko ezithile zokusetyenziswa, kunye namachibi edatha anikezela ukuguquguquka kwedatha ye-IoT engacwangciswanga kunye neendawo zokugcina idatha eziphucula idatha yentengiselwano eyakhiweyo. I-taxonomy yedatha emanyeneyo iqinisekisa ukungaguquguquki kuzo zonke iinkqubo kwaye yenza uqeqesho olusebenzayo lwemodeli ye-AI.

UDeloitte ucebisa ukuba kusekwe iimodeli zolawulo lwe-AI njengenxalenye yophuhliso lwesiseko sedatha. Oku kubandakanya imigangatho yomgangatho wedatha, iinkqubo zokuqinisekisa imodeli, kunye nezicwangciso-nkqubo zokuhlola ukusebenza.

Ulawulo lwemethadatha luba lubaluleke kakhulu njengomlinganiselo wedatha, efuna ukufakwa kwekhathalogu ngokuzenzekelayo, ukulandelwa komgca, kunye nokukwazi ukuhlalutya impembelelo. Abathengisi kufuneka babonelele ngezixhobo ezenza lula ukufunyanwa kwedatha kunye nokuqinisekisa umgangatho wedatha kuwo wonke umjikelo wophuhliso lwe-AI.

Uyilo lweModyuli kunye nokuSebenzisana

Vula i-APIs kunye ne-microservices architecture yenza i-plug-and-play kumthengisi amacandelo anciphisa ukudityaniswa kobunzima kunye neengozi zokuvala umthengisi. Iindlela zemodyuli zivumela abavelisi ukuba bakhethe izisombululo ezingcono kakhulu zokuvelisa imisebenzi ethile ngelixa begcina ubumbano lwenkqubo.

Isitaki seTekhnoloji yokuVelisa iModyuli: