Big Data as a Service (BDaaS) Market by Product Type, Distribution Channel, End User 2024-2032
                     Global Big Data as a 
Service (BDaaS) Market 
Research and Forecast 
Report 2024-2032
Format: PDF+EXCEL
© 2023 IMARC All Rights Reserved 
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In ternat ional  Market  Analys is  Research and Consul t ing Group is  a leading adv iser  on management  
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las t ing resul ts .
Accord ing  to  t he  la tes t  repor t  by  I MARC G roup ,  t i t l ed  "Bi g  Data  as  a  Serv ice  
(BDaaS)  Market :  G lobal  I ndust ry  T rends,  Share ,  S ize ,  Grow th ,  Oppor tun i ty  
and  Forecast  2024-2032, "  t he  g loba l  b ig  da ta  as  a  serv ice  (BDaaS)  marke t  s i ze  
reached  US$  46 . 6  B i l l i on  in  2023 .
Factors Af fect ing  the Growth  of  the Global  Big  Data  as  a  Service 
(BDaaS)  Industry:
Cloud Comput ing  Adopt ion:
Report The  advent  o f  c l oud  compu t ing  i s  t r ans fo rm ing  t he  way  bus inesses  approach  da t a  
ana ly t i cs ,  ca t a lyz ing  the  da ta  ana ly t i cs -as -a -se rv ice  (DAaaS)  m arke t .  I n  add i t i on ,  
Highlight and c loud com pu t ing  p la t f o rms  p rov ide  improved in f ras t ruc tu re  t ha t  i nc ludes  comput ing  power ,  s to rage  capac i t y ,  and  ne t work ing  capab i l i t i es ,  wh ich  a re  
essen t i a l  f o r  p rocess ing  and  ana lyz ing  la rge  da tase t s  wh ich  enab les  DAaaS 
Description prov iders  to  o f fe r  sca lab le ,  f l ex ib le  ana ly t i cs  serv ices  tha t  can  be  ad jus ted  
accord ing  t o  the  va ry ing  needs  o f  bus inesses .  
Bes ides  th i s ,  one  o f  t he  advan t ages  o f  c loud  compu t ing  i s  i t s  ab i l i t y  t o  
democra t i ze  access  to  advanced ana ly t i cs .  A long  w i th  th i s ,  sma l l  and  med ium-
s i zed  en te rpr i ses  (SMEs) ,  can  now leve rage c loud -based  ana ly t i cs  se rv ices  
e f fec t i ve ly  lower i ng  t he  bar r i e r s  t o  en t r y ,  a l l ow ing  bus inesses  o f  a l l  s i zes  t o  
u t i l i ze  da t a  ana ly t i cs  fo r  i n fo rmed dec is ion -mak ing .
Sign i f i can t  Advancements  in  Ar t i f ic ia l  In t e l l igence  and Machine  Learn ing:
A r t i f i c i a l  I n t e l l i g e nc e  (A I )  an d  Ma c h i n e  L e a r n i n g  (M L )  a r e  t r a n s f o r m i n g  d a t a  a n a l y t i c s  
se r v i c e s .  I n  a d d i t i o n ,  t h e  D A a a S  p r ov i d e r s  en h a n c e  t h e  c a pa b i l i t y  o f  a na l y t i c s  s o l u t i on s  
t o  p r oc e s s ,  a n a l y ze ,  a n d  i n t e r p r e t  c o mp l e x  da t a s e t s .  A I  a n d  M L  a l g o r i t h m s  c an  u n c o v e r  
pa t t e r n s  a n d  i n s i g h t s  f r o m  d a t a  fo r  h u ma n  a n a l ys t s  t o  d e t e c t ,  l e ad i n g  t o  mo r e  a cc u r a te  
Report an d  a c t i o n ab l e  i n s i g h t s .  T h e s e  t ec h n o l o g i ca l  ad v a n ce m e n t s  h a v e  e x pa n d e d  t he  s c o pe  
o f  d a t a  a n a l y t i c s ,  e n a b l i n g  p re d i c t i v e  a n a l y t i c s ,  w h i c h  f o r ec a s t s  f u tu r e  t r e n ds  b as e d  on  
Highlight and h i s t o r i c a l  d a t a .  T h i s  p r e d i c t i ve  c a p a b i l i t y  i s  i n v a l ua b l e  f o r  b u s i ne s s e s  a c r o s s  v a r i o u s  s ec t o r s ,  f r o m  
r e t a i l  f o r ec as t i n g  c on s u m er  b e h a v i o r  t o  f i n a n c e  i d e n t i f y i ng  p o t e n t i a l  m a r k e t  s h i f t s .  
Description Mo r e o ve r ,  A I - d r i v en  a n a l y t i c s  c a n  c o n t i nu o u s l y  l e a r n  a nd  i m p r o v e  ov e r  t i m e ,  e n s u r i n g  t ha t  t h e  i n s i g h ts  p r o v i d e d  b ec o m e  r e f i n e d  a n d  r e l e va n t .  F u r t h e r m o re ,  A I  a nd  M L  h av e  
ma d e  i t  p o s s i b l e  t o  a u t o ma t e  ro u t i n e  d a t a  an a l y s i s  t a s k s ,  r e d u c i ng  t h e  t i m e  a nd  
r es o u r ce s  r e qu i r e d  fo r  d a ta  p r oc e s s i n g .
Growing  Need  fo r  Cos t - Ef fec t ive  Ana ly t ics  So lu t ions:
T he  i nc r e a s i n g  d e ma n d  f o r  c o s t -e f f e c t i v e  a n a l y t i c s  s o l u t i o n s  i s  co n t r i bu t i n g  t o  m a r k e t  
g r o w t h .  I n  a dd i t i o n ,  t r a d i t i o n a l  i n - h ou s e  d a ta  a n a l y t i c s  s e t u ps  e n t a i l  s u bs t a n t i a l  
i n ve s t m en t s  i n  i n f o r ma t i o n  te c h n o l o gy  ( I T )  i n f r as t r u c t u r e ,  i n c l u d i n g  s e rv e r s ,  s t o r a ge  
sy s t e ms ,  a n d  a n a l y t i c s  s o f t w a r e ,  a n d  t h e  h i r i n g  a nd  t r a i n i n g  o f  s p e c i a l i ze d  p e rs o n n e l . .
Moreover ,  DAaaS o f fe rs  an  appea l ing  a l te rna t ive  by  p rov id ing  access  to  h igh -
leve l  ana ly t i cs  se rv i ces  th rough  a  subscr ip t ion -based  mode l ,  e l im ina t ing  the  
need  fo r  l a rge  cap i ta l  i nves tments  wh ich  a l lows  bus inesses  to  conver t  f i xed  IT  
cos ts  in to  va r iab le  costs ,  c lose ly  a l ign ing  expenses  w i th  the i r  ac tua l  use  o f  
ana ly t i cs  se rv ices .  Fur the rmore ,  by  ou tsourc ing  ana ly t i cs  to  DAaaS p rov ide rs ,  
compan ies  can  tap  in to  a  poo l  o f  exper t  ana lys ts  and  soph is t i ca ted  ana ly t i cs  
too ls  w i thou t  bear ing  the  cos t  o f  rec ru i t i ng  and  re ta in ing  spec ia l i zed  s ta f f .
Report 
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Description
Report Description
Global  Big  Data as a  Serv ice  (BDaaS)  Market  Trends:
At  p resen t ,  o rgan iza t ions  a re  tu rn ing  t o  c loud -based  p la t f o rms  fo r  b ig  da t a  ana ly t i cs ,  d r i ven  by  the  need  f o r  sca lab le ,  
f l ex ib l e ,  and  cos t -e f f ec t i ve  so lu t ions .  C loud -based BDaaS o f f e rs  the  advan tage o f  access ing  vas t  compu t ing  
resources  on -demand  w i thou t  t he  need f o r  s i gn i f i can t  up f ron t  inves t ment  i n  I T  in f ras t ruc t u re .  M oreover ,  t he  r i s ing  
demand  fo r  rea l - t ime  da ta  p rocess ing  and ana ly t i cs  se rv ices  requ i re  imm ed ia te  ins igh ts  to  make in fo rmed dec is ions  
qu ick l y ,  l ead ing  to  the  deve lopmen t  and  adopt ion  o f  BDaaS so lu t ions  capab le  o f  r ea l - t ime  da t a  ana lys i s .  
Bes ides  th is ,  t he  inc reas ing  awareness  abou t  env i r onmen ta l  i s sues ,  and  t he  g row ing  t rend  toward  sus ta inab le  da ta  
opera t ions  a re  con t r ibu t ing  t o  the  marke t  g rowth .  A long  w i t h  th i s ,  BDaaS prov ide rs  a re  op t im iz ing  the i r  da ta  cen te rs  
fo r  ene rgy  e f f i c i ency  and adop t ing  g reen compu t ing  p rac t i ces  t o  m in im ize  the  env i ronmen ta l  impac t  o f  l a rge -sca le  
da ta  p rocess ing .
Look ing  fo rward ,  IMARC Group  expects  the  market  to  reach  US$ 217. 9  Bi l l ion  by 2032 ,  exh ib i t ing  a  g rowth  ra te  
(CAGR)  o f  18 . 1% dur ing  2024-2032 .
V i ew Report  TOC,  F igures and  Tab les :  h t tps: / / www. i marcgroup .com/b i g -data-as -a -serv ice-market
Breakup by Solution:
• Hadoop-as-a-Service (HDaaS)
• Data-as-a-Service (DaaS)
• Data Analytics-as-a-Service (DAaaS)
 
Report Breakup by Deployment Model:
Segmentation • Public Cloud
• Private Cloud
• Hybrid Cloud
Breakup by Platform Type:
• JAVA
• Microsoft
• Oracle
• SAP
• Others
Breakup by Organization Size:
• Small  and Medium-Sized Enterprises
Report • Large Enterprises
Segmentation  
Breakup by Verticals:
• BFSI
• Healthcare
• Retai l
• IT and Telecommunicat ion
• Manufacturing
• Media and Entertainment
• Others
Breakup by Region:
• North America
Report • Europe
Segmentation • Asia Pacifi c
• Middle East and Afr ica
• Latin America
• Amazon Web Serv ices Inc
• Oracle Corporat ion
• Google Inc
• Hewlett-Packard
• SAP SE
Competitive • Accenture
Landscape • IBM
• SAS Inst i tute
with Key 
• Del l  EMC
Players • Teradata
• Alteryx Ltd
• Opera Solut ions
• Wipro
• Information Bui lders
• MicroStrategy Inc
What was the size of the global Big Data as a 
Service market in 2023?
What is the expected growth rate of the global Big 
Data as a Service market during 2024-2032?
Key What are the key factors driving the global Big Data 
as a Service market?
Questions 
Answered in What has been the impact of COVID-19 on the global Big Data as a Service market?
the Report
What is the breakup of the global Big Data as a 
Service market based on the solution?
What is the breakup of the global Big Data as a 
Service market based on the deployment model?
What is the breakup of the global Big Data as a 
Service market based on the platform type?
What is the breakup of the global Big Data as a 
Service market based on the organization size?
What is the breakup of the global Big Data as a 
Service market based on the verticals?
Key What are the key regions in the global Big Data as 
a Service market?
Questions 
Answered in Who are the key players/companies in the global Big Data as a Service market?
the Report
1     P r e f a c e
2     S c o p e  a n d  M e t h o d o l o g y
    2 . 1     O b j e c t i v e s  o f  t h e  S t u d y
    2 . 2     S t a k e h o l d e r s
    2 . 3     D a t a  S o u r c e s
        2 . 3 . 1     P r i m a r y  S o u r c e s
        2 . 3 . 2     S e c o n d a r y  S o u r c e s
    2 . 4     M a r k e t  E s t i m a t i o n
Table of         2 . 4 . 1     B o t t o m - U p  A p p r o a c h        2 . 4 . 2     T o p - D o w n  A p p r o a c h
    2 . 5     F o r e c a s t i n g  M e t h o d o l o g y
3     E x e c u t i v e  S u m m a r y
4     I n t r o d u c t i o n
Contents     4 . 1     O v e r v i e w    4 . 2     K e y  I n d u s t r y  T r e n d s5     B i g  D a t a  a s  a  S e r v i c e  M a r k e t
    5 . 1     M a r k e t  O v e r v i e w
    5 . 2     M a r k e t  P e r f o r m a n c e
    5 . 3     I m p a c t  o f  C O V I D - 1 9
    5 . 4     M a r k e t  B r e a k u p  b y  S o l u t i o n
    5 . 5     M a r k e t  B r e a k u p  b y  D e p l o y m e n t  M o d e l
    5 . 6     M a r k e t  B r e a k u p  b y  P l a t f o r m  T y p e
    5 . 7     M a r k e t  B r e a k u p  b y  O r g a n i z a t i o n  S i z e
    5 . 8    M a r k e t  B r e a k u p  b y  V e r t i c a l s
    5 . 9     M a r k e t  B r e a k u p  b y  R e g i o n
    5 . 1 0     M a r k e t  F o r e c a s t
6    S W O T  A n a l y s i s
    6 . 1     O v e r v i e w
    6 . 2     S t r e n g t h s
    6 . 3     W e a k n e s s e s
       
    6 . 4     O p p o r t u n i t i e s
    6 . 5     T h r e a t s
7    V a l u e  C h a i n  A n a l y s i s
8    P o r t e r ’ s  F i v e  F o r c e s  A n a l y s i s
    8 . 1     O v e r v i e w
    8 . 2     B a r g a i n i n g  P o w e r  o f  B u y e r s
    8 . 3     B a r g a i n i n g  P o w e r  o f  S u p p l i e r s
    8 . 4     D e g r e e  o f  C o m p e t i t i o n
    8 . 5     T h r e a t  o f  N e w  E n t r a n t s
    8 . 6     T h r e a t  o f  S u b s t i t u t e s
9    M a r k e t  B r e a k u p  b y  S o l u t i o n
Table of     9 . 1     H a d o o p - a s - a - S e r v i c e  ( H D a a S )        9 . 1 . 1     M a r k e t  T r e n d s
        9 . 1 . 2     M a r k e t  F o r e c a s t
    9 . 2     D a t a - a s - a - S e r v i c e  ( D a a S )
Contents         9 . 2 . 1     M a r k e t  T r e n d s        9 . 2 . 2     M a r k e t  F o r e c a s t
    9 . 3     D a t a  A n a l y t i c s - a s - a - S e r v i c e  ( D A a a S )
        9 . 3 . 1     M a r k e t  T r e n d s
        9 . 3 . 2     M a r k e t  F o r e c a s t
1 0   M a r k e t  B r e a k u p  b y  D e p l o y m e n t  M o d e l
    1 0 . 1     P u b l i c  C l o u d
        1 0 . 1 . 1     M a r k e t  T r e n d s
        1 0 . 1 . 2     M a r k e t  F o r e c a s t
    1 0 . 2     P r i v a t e  C l o u d
        1 0 . 2 . 1     M a r k e t  T r e n d s
        1 0 . 2 . 2     M a r k e t  F o r e c a s t
    1 0 . 3     H y b r i d  C l o u d
        1 0 . 3 . 1     M a r k e t  T r e n d s
        1 0 . 3 . 2     M a r k e t  F o r e c a s t
F o r  m o r e  i n f o r m a t i o n ,  v i s i t :  
h t t p s : / / w w w. im a rcg ro u p . co m / b ig - d a t a - a s - a - s e r v i c e - m a r ke t / t o c
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