Imakethe Enkulu Yedatha Nezibalo Iyakhula Futhi | MongoDB, Azure, Splunk

I-HTF MI isanda kushicilela ucwaningo ku-Big Data kanye nemakethe yokuhlaziya idatha.

Le studio ibizwa ngeGlobal Ukukhula Kwemakethe Yedatha Enkulu Nezibalo (Isimo Ne-Outlook) 2023-2029, futhi uhlole ukuhlaziya ubungozi bemakethe, kugqanyiswe amathuba kanye nokwesekwa kwezinqumo zasu namaqhinga. 

Lo mbiko uhlinzeka ngemininingwane mayelana nezitayela nentuthuko yemakethe, izithuthukisi zokukhula, ubuchwepheshe, kanye nesakhiwo sokutshala imali esishintshayo semakethe yomhlaba wonke Yedatha Enkulu Nezibalo. 

Abanye babadlali abakhulu abafakwe ephrofayilini ocwaningweni yiMicrosoft, MongoDB, Predikto, Informatica, CS, Blue Yonder, Azure, Software AG, Sensewaves, TempoIQ, SAP, OT, IBM, Cyber ​​​​Group and Splunk.

Ungakwazi ukukhiqiza amarekhodi amasampula ngokuchofoza isixhumanisi esilandelayo https://www.htfmarketreport.com/sample-report/4270850-global-big-data-and-analytics-market-growth-1

Usayizi wemakethe yeBig Data and Analytics yalinganiselwa ku-USD 240,56 billion ngo-2021 futhi kulindeleke ukuthi ikhule isuka ku-USD 271,83 billion ngo-2022 iye ku-USD 655,53 billion ngo-2029, nge-CAGR ka-13,4%.

I-Big Data Market Overview and Analysis:

Ucwaningo luhlinzeka ngombono onemininingwane ebalulekile ekugcineni ulwazi lwemakethe oluhlukaniswe izingxenye lwe-LoT ne-M2M, Ukuhlanganiswa Kwedatha, Ukugcinwa Kwedatha kanye Nokwethulwa Kwedatha kubuyekeziwe. Amazwe angaphezu kwe-18 emhlabeni jikelele, ulwazi lwamazwe asafufusa kanye nabadlali abakhulu. Uma ufuna ukuhlaziya izinkampani ezihlukene ezibandakanyeka embonini yedatha enkulu nezibalo ngokusekelwe kunhloso yakho noma indawo yakho, umbiko wemakethe we-htf unikeza ithuba lokwenza umbiko ngendlela oyifisayo.

Imakethe Yedatha Enkulu Nezibalo: Ukuhlaziywa Kwezidingo kanye Nethuba le-Outlook 2029

Ucwaningo locwaningo lwe-Big Data ne-Analytics defiNites usayizi wemakethe wezigaba ezahlukahlukene namazwe ngeminyaka yomlando kanye nezibikezelo zamanani zeminyaka eyi-6 ezayo. Lo mbiko uhlanganiswe ukuze uqonde izici zekhwalithi nenani lemboni ye-Big Data kanye ne-Analytics okuhlanganisa isabelo semakethe, usayizi wemakethe (inani lika-2018-2022 nevolumu kanye nesibikezelo sango-2029) izwe ngalinye elinentshisekelo eliqhakambisayo emakethe yokuncintisana. Ngaphezu kwalokho, lolu cwaningo luphinde luqondise futhi lunikeze izibalo ezijulile ezintweni ezibalulekile ze-Big Data kanye ne-Analytics ezihlanganisa abashayeli kanye nezici ezivimbelayo ezisiza ekulinganiseni amathemba okukhula kwemakethe esikhathini esizayo.

Izingxenye zemakethe Yedatha Enkulu Nezibalo

Ucwaningo luhlukaniswe ngokuya ngohlobo olulandelayo lomkhiqizo/isevisi:

• ukuhlanganiswa kwedatha,
• ukugcinwa kwedatha e
• isethulo sedatha

Izimboni eziyinhloko zezicelo/abasebenzisi yi-LoT kanye ne-M2M

Abanye babadlali abakhulu ababambe iqhaza emakethe yilawa: Microsoft, MongoDB, Predikto, Informatica, CS, Blue Yonder, Azure, Software AG, Sensewaves, TempoIQ, SAP, OT, IBM, Cyber ​​​​Group & Splunk

Iminyaka ebalulekile ecatshangelwa ocwaningweni lwe-Big Data ne-Analytics:

• Unyaka womlando - 2018-2022; 
• Unyaka wokuqala - 2022; 
• Isikhathi sokubikezela** – 2023 kuya ku-2029 [** ngaphandle uma kuchazwe ngenye indlela]

Ukuhlaziywa ngezwe:

• INyakatho Melika (i-United States, iCanada neMexico)
• I-Europe (iJalimane, i-France, i-United Kingdom, i-Netherlands, i-Italy, amazwe ase-Nordic, i-Spain, i-Switzerland kanye neYurophu yonke)
• I-Asia-Pacific (i-China, Japan, Australia, New Zealand, South Korea, India, Southeast Asia kanye nayo yonke i-APAC)
• INingizimu Melika (iBrazil, i-Argentina, iChile, iColombia, Amanye amazwe, njll.)
• IMpumalanga Ephakathi ne-Afrika (Saudi Arabia, UAE, Israel, Egypt, Turkey, Nigeria, South Africa, rest of MEA)

Ukuhlaziywa kwemakethe kuhlukaniswe izahluko eziyi-15

• Isahluko 1, Uhlolojikelele lokuchazwa defiincazelo, ukucaciswa nokuhlukaniswa kwemakethe yomhlaba wonke ye-Big Data and Analytics, izinhlelo zokusebenza [i-LoT ne-M2M], ingxenye yemakethe ngezinhlobo, ukuhlanganiswa kwedatha, ukugcinwa kwedatha nokwethulwa kwedatha;
• Isahluko 2, inhloso yocwaningo.
• Isahluko 3, Indlela yocwaningo, izilinganiso, imibono namathuluzi okuhlaziya
• Izahluko 4 no-5, Ukuhlaziywa Nokuhlaziywa Kwemikhuba Yemakethe Yedatha Enkulu Yomhlaba, Abashayeli, Izinselele Zokuziphatha Kwabathengi, Iziteshi Zokuthengisa, Ukuhlaziywa Kochungechunge Lwevalue
• Izahluko 6 no-7, zibonisa Ukuhlaziywa Kwemakethe Yedatha Enkulu Nezibalo, ukuhlaziywa kwezigaba, izici;
• Izahluko 8 kanye ne-9 zibonisa amandla amahlanu (amandla okuxoxisana komthengi/abahlinzeki), izinsongo kwabasanda kungena kanye nezimo zemakethe;
• Izahluko 10 no-11 zibonisa ukuhlaziywa ngokwezigaba zesifunda [i-US, i-China, i-Europe, Ezinye izifunda: i-Japan, i-South Korea, i-Southeast Asia kanye nomhlaba wonke], ukuqhathanisa, amazwe aholayo namathuba; Ukuziphatha kwekhasimende
• Isahluko 12, sihlonza uhlaka oluyinhloko lokuthatha izinqumo oluqoqwe ngochwepheshe bemboni kanye nabathatha izinqumo zamasu;
• Izahluko 13 kanye ne-14 zihlanganisa indawo yokuncintisana (ukuhlukaniswa kwemakethe kanye nezinga).
• Isahluko 15 sihlanganisa isiteshi sokuthengisa semakethe ye-Big Data ne-Analytics, okutholwe ucwaningo, isiphetho, isithasiselo kanye nomthombo wedatha.

Cela ukwenza ngendlela oyifisayo kumbiko @ https://www.htfmarketreport.com/enquiry-before-buy/4270850-global-big-data-and-analytics-market-growth-1

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