Ke ulu hou nei ka ʻikepili nui a me ka mākeke Analytics | MongoDB, Azure, Splunk

Ua hoʻopuka hou ʻo HTF MI i kahi noiʻi e pili ana i ka Big Data and data analytics market.

Kapa ʻia ka studio ʻo Global Ka ulu ʻana o ka mākeke ʻikepili nui a me ka Analytics (Status a me Outlook) 2023-2029, a loiloi i ka loiloi pilikia makeke, e hōʻike ana i nā manawa kūpono a me ka hoʻohana ʻana i ke kākoʻo hoʻoholo hoʻoholo hoʻolālā. 

Hāʻawi ka hōʻike i nā ʻike i nā ʻano mākeke a me ka hoʻomohala ʻana, nā mea hoʻokele ulu, nā ʻenehana, a me ka hoʻololi ʻana o ka hoʻokele waiwai o ka mākeke Big Data a me Analytics. 

ʻO kekahi o nā mea pāʻani nui i hoʻopaʻa ʻia ma ka noiʻi ʻo Microsoft, MongoDB, Predikto, Informatica, CS, Blue Yonder, Azure, Software AG, Sensewaves, TempoIQ, SAP, OT, IBM, Cyber ​​​​Group a me Splunk.

Hiki iā ʻoe ke hana i nā moʻolelo laʻana ma ke kaomi ʻana i ka loulou aʻe https://www.htfmarketreport.com/sample-report/4270850-global-big-data-and-analytics-market-growth-1

Ua kūʻai ʻia ka nui o ka mākeke o Big Data and Analytics ma $ 240,56 biliona i 2021 a ke manaʻo ʻia nei e ulu mai $ 271,83 biliona i 2022 a i $ 655,53 biliona e 2029, me kahi CAGR o 13,4%.

Nānā nui a me ka nānā ʻana o ka mākeke ʻikepili nui:

Hāʻawi ka haʻawina i kahi kikoʻī kikoʻī koʻikoʻi no ka mālama ʻana i ka ʻike mākeke māhele no LoT a me M2M, Data Integration, Data Storage a me Data Presentation i hoʻonui ʻia. Ma luna o 18 mau ʻāina a puni ka honua, ʻike i nā ʻāina e kū mai ana a me nā mea pāʻani nui. Inā makemake ʻoe e kālailai i nā ʻoihana ʻē aʻe e pili ana i ka ʻikepili nui a me ka ʻoihana analytics e pili ana i kāu pahuhopu a i ʻole kāu wahi ʻāina, hāʻawi ka htf market report i ka hiki ke hana i ka hōʻike.

ʻIkepili nui a me ka mākeke Analytics: Ke noi ʻana a me ka manawa kūpono Outlook 2029

ʻO ka noiʻi noiʻi ma Big Data and Analytics defiʻike i ka nui o ka mākeke o nā ʻāpana like ʻole a me nā ʻāina no nā makahiki mōʻaukala a wānana i nā waiwai no nā makahiki 6 e hiki mai ana. Ua hōʻuluʻulu ʻia ka hōʻike e loaʻa i nā mea qualitative a me quantitative o ka ʻoihana Big Data a me Analytics e pili ana i ka māhele mākeke, ka nui o ka mākeke (waiwai a me ka nui 2018-2022 a wānana i 2029) e mahalo ana i kēlā me kēia ʻāina i hoʻopilikia ʻia i ka mākeke hoʻokūkū. Eia kekahi, ke kamaʻilio pū nei ka haʻawina a hāʻawi i nā ʻikepili hohonu i nā mea koʻikoʻi o Big Data a me Analytics e pili ana i nā mea hoʻokele a me nā mea hoʻopaʻa e kōkua ai i ka manaʻo ʻana i ka ulu ʻana o ka mākeke.

Nā ʻāpana o ka mākeke ʻikepili Nui a me Analytics

Hoʻokaʻawale ʻia ka haʻawina e like me ke ʻano o ka huahana / lawelawe:

• hoʻohui ʻikepili,
• waihona ʻikepili e
• hōʻike ʻikepili

ʻO nā ʻoihana noi / hoʻohana hope loa ʻo LoT a me M2M

ʻO kekahi o nā mea pāʻani nui e pili ana i ka mākeke: Microsoft, MongoDB, Predikto, Informatica, CS, Blue Yonder, Azure, Software AG, Sensewaves, TempoIQ, SAP, OT, IBM, Cyber ​​​​Group & Splunk

ʻO nā makahiki koʻikoʻi i noʻonoʻo ʻia ma ka noiʻi Big Data and Analytics:

• Makahiki mōʻaukala - 2018-2022; 
• Makahiki kumu - 2022; 
• Manawa wānana** – 2023 a i 2029 [** ke ʻole i kuhikuhi ʻia]

Ka helu ʻana ma ka ʻāina:

• ʻAmelika ʻĀkau (ʻAmelika Hui Pū ʻIa, Kanada a me Mekiko)
• ʻEulopa (Kelemānia, Palani, United Kingdom, Netherlands, Italia, nā ʻāina Nordic, Sepania, Switzerland a me ke koena o ʻEulopa)
• ʻAsia-Pākīpika (Kina, Iapana, Australia, New Zealand, South Korea, India, Southeast Asia a me ke koena o APAC)
• ʻAmelika Hema (Brazil, Argentina, Chile, Colombia, koena o nā ʻāina, etc.)
• ka Middle East a me ʻApelika (Saudi Arabia, UAE, Israel, Egypt, Turkey, Nigeria, South Africa, koena o MEA)

Ua māhele ʻia ka ʻikepili mākeke i 15 mau mokuna

• Mokuna 1, Nānā e wehewehe definition, nā kikoʻī a me ka hoʻokaʻawale ʻana o ka mākeke ʻIkepili Nui a me Analytics, nā noi [LoT a me M2M], ʻāpana mākeke ma nā ʻano, hoʻohui ʻikepili, mālama ʻikepili a me ka hōʻike ʻike;
• Mokuna 2, ka pahuhopu o ka haʻawina.
• Mokuna 3, ʻAno noiʻi, ana, kuhiakau a me nā mea hana analytical
• Mokuna 4 a me 5, ʻIkepili a me ka nānā ʻana o ka mākeke ʻikepili nui o ka honua, nā mea hoʻokele, nā pilikia o ka mea kūʻai aku, nā ala kūʻai aku, ka nānā ʻana i ke kaulahao waiwai.
• Mokuna 6 a me 7, e hōʻike i ka ʻikepili nui a me ka nānā ʻana i ka mākeke mākeke, ka nānā ʻana i ka māhele, nā ʻano;
• Hōʻike nā Mokuna 8 a me 9 i nā mana ʻelima (ka mana kūʻai kūʻai / mea kūʻai aku), hoʻoweliweli i nā mea komo hou a me nā kūlana mākeke;
• Hōʻike nā Mokuna 10 a me 11 i ka nānā ʻana e ka māhele ʻāpana [US, Kina, ʻEulopa, Nā ʻāina ʻē aʻe: Iapana, South Korea, Asia Hikina Hema a me ke koena o ka honua], ka hoʻohālikelike, nā ʻāina alakaʻi a me nā manawa kūpono; ʻO ke ʻano o ka mea kūʻai aku
• ʻO ka Mokuna 12, e ʻike i ke kumu hoʻoholo hoʻoholo i hōʻiliʻili ʻia ma o ka poʻe akamai ʻoihana a me nā mea hoʻoholo hoʻoholo;
• Hoʻopili nā Mokuna 13 a me 14 i ka ʻāina hoʻokūkū (ka hoʻokaʻawale ʻana o ka mākeke a me ke kūlana).
• Hoʻopili ka Mokuna 15 i ke kahua kūʻai kūʻai kūʻai o ka mākeke Big Data a me Analytics, nā ʻike noiʻi, ka hopena, ka hoʻohui a me ke kumu ʻikepili.

Noi i ka hoʻopilikino ʻana ma ka Hōʻike @ https://www.htfmarketreport.com/enquiry-before-buy/4270850-global-big-data-and-analytics-market-growth-1

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