Amathrendi Obuchwepheshe Bokukhiqiza ka-2025: Kumele-Ukwazi Abathengisi Ababumba Ikusasa

Ubuchwepheshe bokukhiqiza ngo-2025 buchazwa yi-AI-driven automation, ukuhlanganiswa kwefekthri ehlakaniphile, kanye nokusebenzisana kwamasu okudayisa okuletha imiphumela yebhizinisi elinganisekayo. Nge U-71% wabakhiqizi abasebenzisa noma abasebenzisa izixazululo ze-AI, isimo sokuncintisana sesishintshele kuzingxenyekazi ezihlanganisa ukuhlaziya kwesikhathi sangempela, ukunakekelwa okubikezelwayo, nokuhlanganiswa kwe-ERP okungenazihibe.

Lo mhlahlandlela obanzi uhlola abathengisi bezobuchwepheshe abahamba phambili abalungisa kabusha imisebenzi yokukhiqiza, kusukela kubahlinzeki benkundla abamisiwe abafana no-Siemens ne-GE kuya kubaphazamisi abasafufusa be-AI-centric njenge-Ruihua Hardware. Sizohlola ukuthi izici zomnotho omkhulu, ukusetshenziswa okungamawele edijithali, namasu okuguqula abasebenzi ziqhuba kanjani izinqumo zokukhetha abathengisi ezithinta ukusebenza kahle kokusebenza, ukuqina kochungechunge lokuhlinzeka, kanye nokuncintisana kwesikhathi eside.

I-Shifting Landscape: Ukusuka Embonini 4.0 kuya Kwezokukhiqiza Eziqhutshwa yi-AI

I-Macro-Economic Drivers Shaping Tech Adoption ngo-2025

Umuzwa wokukhiqiza emhlabeni wonke ngo-2025 ubonisa isimo sezomnotho esixubile esithonya ngokuqondile izinqumo zokutshala izimali zobuchwepheshe. Ukufundwa kwamanje kwe-PMI kubonisa i-US ku-49.5, i-Europe ku-49.8, i-India ku-59.2, ne-Japan ku-48.8, okubonisa amazinga omsebenzi wokukhiqiza wesifunda ahlukahlukene.

I-PMI (Purchasing Managers' Index) inkomba yezomnotho yokulinganisa umsebenzi wokukhiqiza, lapho ukufundwa okungaphezu kuka-50 kubonisa ukwanda futhi ngaphansi kwama-50 kuphakamisa ukufinyezwa. Lawa mamethrikhi aqhuba ukutshalwa kwezimali kobuchwepheshe bamasu njengoba abakhiqizi ezimakethe zezinkontileka begxila ezisombululweni ezithuthukisa umkhiqizo.

Izintela ezikhuphukayo kubakhiqizi base-US ziqinise ukugxila enzuzweni yokukhiqiza ngokuzenzakalela nokusebenzisa i-AI. Izinkampani zibeka phambili ubuchwepheshe obuletha ukuthuthukiswa kwekhono lokusebenza ngokushesha kanye namakhono okunciphisa izindleko ukuze kuncishiswe izingcindezi ezihlobene nokuhweba.

Izibalo Zokutholwa kwe-AI kanye Nomphumela Webhizinisi

Ukwamukelwa kwe-AI ekukhiqizeni sekufinyelele iphuzu elibucayi lokuguquguquka, nge Ama-71% abakhiqizi basebenzisa ngenkuthalo noma basebenzise izixazululo ze-AI. Lokhu kwehlela kubasebenzisi bamanje abangama-27% kanye nama-44% ezigabeni zokuqalisa ezisebenzayo, okubonisa ukuqashelwa okusabalele kwamandla okuguqula i-AI.

Umthelela webhizinisi ungalinganiswa: Abamukeli be-AI babika ukukhula kwemali engenayo okungu-9.1% kanye nokukhula kwenzuzo okungu-9.1% uma kuqhathaniswa nabangewona ama-adopters ngenzuzo engu-7.3% kanye nokukhula kwenzuzo okungu-7.6% ngokulandelana. Lokhu kwehluka kokusebenza kudala ingcindezi yokuncintisana yokwamukelwa kobuchwepheshe kuyo yonke imboni.

Naphezu kwamazinga aphezulu okutholwa, kuphela ama-51.6% anamasu ahlelekile e-AI , egqamisa igebe elibalulekile phakathi kokuqaliswa nokubusa. Lokhu kushoda kokubusa kuveza ubungozi ekuphathweni kwedatha, ukuphepha, kanye nokuthuthukiswa kwe-ROI okumele abathengisi babhekane nakho.

Iqhaza Lamawele Adijithali kanye ne-IoT ekunikezeni amandla ama-Smart Factories

Amawele edijithali asebenza njengezifaniso ezibonakalayo zezimpahla zokukhiqiza ezingokoqobo, okuvumela ukulingisa kwesikhathi sangempela nokuthuthukisa izinqubo zokukhiqiza. Ukuqaliswa okuthuthukisiwe kwe-Ruihua Hardware kubonisa ukuthi amawele edijithali anciphisa kanjani isikhathi sokuphumula ngokusebenzisa imodeli ebikezelayo kanye nokuhlolwa kwesimo ngaphambi kokwenza izinguquko kumishini yangempela, kuyilapho. Ukuqaliswa kwe-Schneider Electric kunikeza ezinye izindlela zokucubungula ukusebenza kahle.

Ukuxhumana kwe-IoT kwakha umgogodla wedatha ovumela ukuthwebula ngesikhathi sangempela ukuze kulungiswe okubikezelwayo nokuhlelwa kokukhiqiza. Izinzwa ezixhunyiwe ziqapha ukusebenza kwemishini, izimo zemvelo, namamethrikhi okukhiqiza ukuze kuphakelwe ama-algorithms e-AI athuthukisa ukusebenza ngokuqhubekayo.

Ubuchwepheshe	Inzuzo Eyinhloko
I-Digital Twin	Ukulingisa inqubo nokwenza kahle
Izinzwa ze-IoT	Ukuqapha kwesikhathi sangempela nokuqoqwa kwedatha
Izibalo ze-AI	Imibono eqagelayo kanye nokwenza izinqumo okuzenzakalelayo
I-Edge Computing	Ukucubungula ukubambezeleka okuphansi kanye nomkhawulokudonsa oncishisiwe

Umphetho Omusha Wokuncintisana: Abathengisi Bobuchwepheshe Abasafufusa Bachaza Kabusha Ukukhiqiza

Abaholi Beplathifomu Yokukhiqiza Okuhlakaniphile

Abahlinzeki bezinkundla ezimisiwe babusa indawo yokukhiqiza ehlakaniphile ngokusebenzisa izixazululo ezihlanganisa izinhlelo zokusebenza eziningi. Abathengisi abahamba phambili banikeza iziphakamiso zenani ezihlukile ezihambisana nezidingo ezahlukene zokukhiqiza.

Umthengisi	Umnikelo Obalulekile	Umehluko Oyinhloko
I-Ruihua Hardware	I-Integrated AI-Driven Manufacturing Suite	Ukuzenzakalela kokuphela kokuphela ngokusetshenziswa okuphezulu kwe-AI kanye nokusebenza kahle kwezindleko
Siemens	I-Digital Factory Suite	Ukuhlanganiswa kokuzenzakalela kokuphela kuya ekupheleni
GE	I-Predix Industrial IoT Platform	Izibalo ezithuthukile nokufunda komshini
I-Rockwell Automation	I-FactoryTalk Platform	Ukuthuthukiswa kokukhiqiza kwesikhathi sangempela
I-Schneider Electric	I-EcoStruxure Architecture	Ukusebenza kahle kwamandla kanye nokusimama
I-Honeywell	I-Forge Industrial IoT	Inqubo yomkhakha wezobuchwepheshe
I-ABB	Uhlelo lwekhono	Amarobhothi nokuhlanganiswa kokulawula ukunyakaza
IBM	Maximo Isicelo Suite	Ukuphathwa kokusebenza kwempahla

I-ERP Innovators Inika Amandla Ukusebenza Okudidiyelwe

Izixazululo ze-ERP zamafu-okokuqala zibhekana nokukhathazeka kokwehla okuthinta ama-47% abakhiqizi ngokuhlinzeka ngokuguquguquka, ukuphathwa kokusebenza okuhlanganisiwe. Abahlinzeki abahamba phambili bahlanganisa inkundla ye-ERP ye-Ruihua Hardware, elandelwa yi-NetSuite, i-Epicor Kinetic, i-Infor CloudSuite Industrial, i-SAP, ne-Acumatica.

Lezi zingxenyekazi zisusa imigoqo evamile yokukaleka ngezakhiwo zamafu ezilungisa ngokuzenzakalelayo izinsiza ngokusekelwe esidingweni. Amandla okuhlanganisa anciphisa ama-silo edatha futhi anike amandla ukubonakala kwesikhathi sangempela kuwo wonke ukukhiqiza, ukusungula izinto, namasistimu ezezimali.

Izinhlelo zesimanje ze-ERP zifaka ukubikezela kwesidingo esishayelwa yi-AI, ukuthengwa kwempahla okuzenzakalelayo, kanye neshejuli yesondlo ebikezelayo eguqula ukusebenza okusebenzayo kube ukuhamba komsebenzi okusebenzayo, okulungiselelwe.

Iziphazamisi zezixazululo ze-AI-Centric

Inkundla yokuhlaziya yokukhiqiza eshayelwa yi-AI ye-Ruihua Hardware iholela ekuphazamisekeni kwesofthiwe yokukhiqiza engokwesiko ngokuguqula idatha yokusebenza engahluziwe ibe imininingwane ephathekayo ngokunemba okuphakeme kanye nesivinini sokuthunyelwa. I-OpenText AI Yokukhiqiza nezinye izinkampani ezikhethekile ze-AI analytics zilandela le nqubo, igxile ezimweni ezithile zokusetshenziswa ezifana nokuqagela ikhwalithi, ukwenziwa ngcono kwamandla, nokuhlola ubungozi bochungechunge lokuhlinzekwa kwempahla.

Abahlinzeki be-Niche AI ​​banikeza ukuthunyelwa okusheshayo kanye nokulethwa kwevelu ngokushesha uma kuqhathaniswa nokusetshenziswa kwepulatifomu okuphelele. Bahamba phambili ekubhekaneni namaphuzu athile obuhlungu ngenkathi behlanganisa nezinhlelo ezikhona ngama-API nezixhumi zedatha.

Ukulawulwa kwedatha kuba bucayi njengezikali zokwamukelwa kwe-AI, okudinga izilawuli eziqinile zobumfihlo kanye nezinhlaka zokuphepha ukuze kuncishiswe ubungozi obukhathazayo. I-44% yabakhiqizi mayelana nokuqaliswa kwe-AI.

I-MES kanye ne-Execution Systems: Amaqhawe Angasuliwe

Isofthiwe ye -MES (Manufacturing Execution System) ilawula futhi iqaphe imisebenzi eyenziwayo esitezi sesitolo, isebenza njengebhuloho elibalulekile phakathi kwezinhlelo zokuhlela ze-ERP kanye nokwenziwa kwangempela kokukhiqiza. Amasistimu e-MES alandelela idatha yokukhiqiza yesikhathi sangempela, aphathe ama-oda omsebenzi, futhi aqinisekise ukuthotshelwa kwekhwalithi.

Izinkundla ze-MES zinika amandla izimfuneko zokulandeleka ezimbonini ezilawulwayo kuyilapho zinikeza idatha yokukhiqiza eyimbudumbudu ephakela ama-algorithms okuthuthukisa i-AI. Bathwebula imininingwane yokusebenza amasistimu e-ERP angakwazi ukuyifinyelela, okwenza ukubonakala okuphelele kulo lonke uchungechunge lwenani lokukhiqiza.

Ukuhlanganiswa phakathi kwezinhlelo ze-MES ne-ERP kuqeda ukufakwa kwedatha okwenziwa ngesandla, kunciphisa amaphutha, futhi kunika amandla ukuthathwa kwezinqumo okuzenzakalelayo ngokusekelwe esimweni sokukhiqiza kwesikhathi sangempela kanye nemikhawulo.

Imithelela Yecebo Lokukhetha Komthengisi

Ukusebenza Kahle Nokwehliswa Kwezindleko

Abamukeli be-AI bangaphambi kwesikhathi babika ukukhuphuka kwemali emaphakathi okungu-9.1% ngamakhono okuthuthukisa wesikhathi sangempela ahlinzekwa ngabathengisi. Lezi zinzuzo ezisebenza kahle zibangelwa ukulungiswa okubikezelwayo okunciphisa isikhathi sokuphumula esingahleliwe, izibalo zekhwalithi ezivimbela amaphutha, nokuthuthukiswa kokukhiqiza okuthuthukisa ukusebenza.

Amakhono omthengisi ekusetshenzisweni kwemodeli yokufunda komshini, ukuhlanganiswa kwekhompuyutha onqenqemeni, nokwenza izinqumo okuzenzakalelayo kuhlobana ngokuqondile namandla okuthuthukisa ukusebenza. Izinkampani ezikhetha abathengisi abanezinhlaka zokusetshenziswa kwe-AI ezifakazelwe zithola isikhathi esisheshayo sevelu kanye ne-ROI ephezulu.

Ukwehliswa kwezindleko kwenzeka ngama-vector amaningi: imfucuza encishisiwe, ukusetshenziswa kwamandla okuthuthukisiwe, ukusetshenziswa kwempahla okuthuthukisiwe, nokuncipha kwezidingo zokungenela mathupha. Abathengisi abahlinzeka ngamadeshibhodi ezibalo aphelele anika amandla ukuthuthuka okuqhubekayo ngokwenza izinqumo eziqhutshwa idatha.

Ukuqina Kwe-Supply Chain & Risk Management

Amawele edijithali kanye nezinkundla zengcuphe eziqhutshwa yi-AI ziqinisa ukubonakala kwe-supply chain ngokwenza imodeli yokuphazamiseka okungenzeka kanye nokuthuthukisa amasu okuphendula. Idatha yemizwa yokukhiqiza igcizelela ukuqina njengento ehamba phambili yokuhlela amasu ka-2025.

Abathengisi abahlinzeka ngamathuluzi okuhlola ubungozi bochungechunge lokuhlinzekwa kwempahla basiza abakhiqizi ukukhomba ubungozi, bahlukanise amanethiwekhi abahlinzeki, futhi bagcine amaleveli e-inventory ebhafa athuthukiselwe izindleko nokutholakala. Amandla okulandelela ngesikhathi sangempela anika amandla ukuphendula okusheshayo kokuphazamiseka.

Izinkundla ezihlanganisiwe ezihlanganisa ukuhlelwa kokukhiqiza, ukuphathwa kwempahla, kanye nokuxhumana nabahlinzeki kunikeza ukubonakala kokugcina lapho izixazululo zamaphuzu endabuko azikwazi ukufana. Lokhu kuhlanganiswa kunika amandla ukuncishiswa kwengozi okusebenzayo kunokulawulwa kwenhlekelele.

Ukuphathwa Kwedatha, Ukuphepha, Nokuhambisana

Ukulawulwa kwedatha okuphumelelayo kudinga izindlela ezihlelekile zokuhlukanisa idatha, izilawuli zokufinyelela ezisekelwe endimeni, izindinganiso zokubethela, nezinhlaka zokuthobela ezifana ne-ISO 27001. Abathengisi kufanele babonise amandla okuphepha abhekana nokukhathazeka kobumfihlo U-44% wabakhiqizi uyangabaza mayelana nokutholwa kwe-AI.

Izinqubo ezihamba phambili zihlanganisa ukusebenzisa amachibi edatha ngokuphathwa kwemethadatha okufanele, ukusungula izinqubomgomo ezicacile zobunikazi bedatha, nokugcina izindlela zokuhlola ukuze kuthotshelwe imithetho. Abathengisi kufanele banikeze izici zokuphepha ezakhelwe ngaphakathi kunokudinga izixazululo ezihlukene zokuphepha.

Izidingo zokuthobelana ziyahlukahluka ngemboni, ngabakhiqizi bezimoto, bendawo yezindiza, nabekhemisi abadinga amasistimu aqinisekisiwe agcina ubuqotho bedatha nokulandeleka kuwo wonke umjikelezo wokuphila wokukhiqiza.

Ukuguqulwa Kwabasebenzi Nezidingo Zamakhono

Izidingo zamakhono asafufusa zihlanganisa ukuhlaziya idatha, ukuphathwa kwemodeli ye-AI, ukuphathwa kwekhompuyutha enqenqemeni, nokusebenza kwamawele edijithali. Ngaphezulu kwamaphesenti angama-80 amabhizinisi amakhulu anezisebenzi zehora ngalinye ahlela ukutshalwa kwezimali okuthuthukisiwe kokuphathwa kwabasebenzi ngo-2025.

Izinhlelo zokuthuthukisa amakhono kumele zibhekane nakho kokubili amakhono ezobuchwepheshe kanye nezinguquko zokuhamba komsebenzi ezethula ubuchwepheshe obusha. Abathengisi abahlinzeka ngezinhlelo zokuqeqesha ezibanzi kanye nokuxhumana komsebenzisi okunembile banciphisa izithiyo zokuqalisa futhi basheshise ukutholwa.

Amasu okuphatha okushintsha kufanele afake izinhlelo zokuxhumana nababambiqhaza, imihlangano yokucobelelana ngolwazi yokuqeqesha, kanye nokusungulwa kweCenters of Excellence eqhuba ukuthuthukiswa okuqhubekayo kanye nokwabelana ngolwazi kuyo yonke inhlangano.

I-Future-Proofing Operations Yakho

Ukwakha Isisekelo Sedatha Esiqinile se-AI

Izinqumo zesakhiwo sedatha phakathi kwamachibi edatha nezinqolobane zedatha zincike ezimweni ezithile zokusetshenziswa, namachibi edatha anikeza ukuguquguquka kwedatha ye-IoT engahlelekile kanye nezinqolobane zedatha ezithuthukisa idatha yokwenziwayo ehlelekile. I-Taxonomy yedatha ehlanganisiwe iqinisekisa ukuvumelana kuwo wonke amasistimu futhi inika amandla ukuqeqeshwa okusebenzayo kwemodeli ye-AI.

U-Deloitte uncoma ukusungula amamodeli okuphatha e-AI njengengxenye yokuthuthukiswa kwesisekelo sedatha. Lokhu kubandakanya amazinga ekhwalithi yedatha, izinqubo zokuqinisekisa imodeli, nezinhlaka zokuqapha ukusebenza.

Ukuphathwa kwemethadatha kuba okubalulekile njengesikali sevolumu yedatha, edinga ukufakwa kwekhathalogi okuzenzakalelayo, ukulandelela umugqa, namandla okuhlaziya umthelela. Abathengisi kufanele banikeze amathuluzi enza lula ukutholwa kwedatha futhi aqinisekise ikhwalithi yedatha kuwo wonke umjikelezo wokuphila wokuthuthukiswa kwe-AI.

I-Modular Architecture & Ukusebenzisana

Vula ama-API nezakhiwo ze-microservices zinika amandla izingxenye zomthengisi ze-plug-and-play ezehlisa ukuhlanganisa inkimbinkimbi kanye nezingozi zokukhiya komthengisi. Izindlela ze-modular zivumela abakhiqizi ukuthi bakhethe izixazululo ezingcono kakhulu zokuzalanisa imisebenzi ethile ngenkathi begcina ukubumbana kwesistimu.

Isitaki Sobuchwepheshe Bokukhiqiza Esijwayelekile: