Big Data as a Service Market Research Report- Global Forecast 2030

Global Big Data as a Service Market Information, by Services (HaaS, DaaS, AaaS), by Deployment (On-Premise, On-Demand, Hybrid), by Industry (BFSI, Manufacturing, Retail, Healthcare, Media & Entertainment, Government), Organization Size - Forecast 2030

ID: MRFR/ICT/0702-HCR | August 2022 | Region: Global | 110 Pages         

TABLE OF CONTENTS

1 Executive Summary

2 Scope of the Report

2.1 Market Definition

2.2 Scope of the Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

4.1 Porter’s Five Forces Analysis

4.1.1 Threat of New Entrants

4.1.2 Bargaining power of buyers

4.1.3 Threat of substitutes

4.1.4 Segment rivalry

4.2 Value Chain/Supply Chain of Global Big Data as a Service Market

5 Deployment Overview of Global Big Data as a Service Market

5.1 Introduction

5.2 Growth Drivers

5.3 Impact analysis

5.4 Market Challenges

6 Market Trends

6.1 Introduction

6.2 Growth Trends

6.3 Impact analysis

7. Global Big Data as a Service Market by Deployment

7.1 Introduction

7.2 On Premise

7.2.1 Market Estimates & Forecast, 2020-2027

7.2.2 Market Estimates & Forecast by Region, 2020-2027

7.3 On-Cloud

7.3.1 Market Estimates & Forecast, 2020-2027

7.3.2 Market Estimates & Forecast by Region, 2020-2027

7.4 Hybrid

7.4.1 Market Estimates & Forecast, 2020-2027

7.4.2 Market Estimates & Forecast by Region, 2020-2027

8. Global Big Data as a Service Market by Service

8.1 Introduction

8.2 HaaS

8.2.1 Market Estimates & Forecast, 2020-2027

8.2.2 Market Estimates & Forecast by Region, 2020-2027

8.3 DaaS

8.3.1 Market Estimates & Forecast, 2020-2027

8.3.2 Market Estimates & Forecast by Region, 2020-2027

8.4 AaaS

8.4.1 Market Estimates & Forecast, 2020-2027

8.4.2 Market Estimates & Forecast by Region, 2020-2027

9. Global Big Data as a Service Market by Industry

9.1 Introduction

9.2 BFSI

9.2.1 Market Estimates & Forecast, 2020-2027

9.2.2 Market Estimates & Forecast by Region, 2020-2027

9.3 Manufacturing

9.3.1 Market Estimates & Forecast, 2020-2027

9.3.2 Market Estimates & Forecast by Region, 2020-2027

9.4 Retail

9.4.1 Market Estimates & Forecast, 2020-2027

9.4.2 Market Estimates & Forecast by Region, 2020-2027

9.5 Healthcare

9.5.1 Market Estimates & Forecast, 2020-2027

9.5.2 Market Estimates & Forecast by Region, 2020-2027

9.6 Media and Entertainment

9.6.1 Market Estimates & Forecast, 2020-2027

9.6.2 Market Estimates & Forecast by Region, 2020-2027

9.7 Government

9.7.1 Market Estimates & Forecast, 2020-2027

9.7.2 Market Estimates & Forecast by Region, 2020-2027

10. Global Big Data as a Service Market by Organization Size

10.1 Introduction

10.2 Small and Medium Enterprise

10.2.1 Market Estimates & Forecast, 2020-2027

10.2.2 Market Estimates & Forecast by Region, 2020-2027

10.3 Large Enterprise

10.3.1 Market Estimates & Forecast, 2020-2027

10.3.2 Market Estimates & Forecast by Region, 2020-2027

11. Global Big Data as a Service Market by Region

11.1 Introduction

11.2 North America

11.2.1 Market Estimates & Forecast, 2020-2027

11.2.2 Market Estimates & Forecast by Deployment, 2020-2027

11.2.3 Market Estimates & Forecast by Service, 2020-2027

11.2.4 Market Estimates & Forecast by Deployment, 2020-2027

11.2.5 U.S.

11.2.5.1 Market Estimates & Forecast, 2020-2027

11.2.5.2 Market Estimates & Forecast by Deployment, 2020-2027

11.2.5.3 Market Estimates & Forecast by Service, 2020-2027

11.2.5.4 Market Estimates & Forecast by Deployment, 2020-2027

11.2.6 Mexico

11.2.6.1 Market Estimates & Forecast, 2020-2027

11.2.6.2 Market Estimates & Forecast by Deployment, 2020-2027

11.2.6.3 Market Estimates & Forecast by Service, 2020-2027

11.2.6.4 Market Estimates & Forecast by Deployment, 2020-2027

11.2.7 Canada

11.2.7.1 Market Estimates & Forecast, 2020-2027

11.2.7.2 Market Estimates & Forecast by Deployment, 2020-2027

11.2.7.3 Market Estimates & Forecast by Service, 2020-2027

11.2.7.4 Market Estimates & Forecast by Deployment, 2020-2027

11.3 Europe

11.3.1 Market Estimates & Forecast, 2020-2027

11.3.2 Market Estimates & Forecast by Deployment, 2020-2027

11.3.3 Market Estimates & Forecast by Service, 2020-2027

11.3.4 Market Estimates & Forecast by Deployment, 2020-2027

11.3.5 Germany

11.3.5.1 Market Estimates & Forecast, 2020-2027

11.3.5.2 Market Estimates & Forecast by Deployment, 2020-2027

11.3.5.3 Market Estimates & Forecast by Service, 2020-2027

11.3.5.4 Market Estimates & Forecast by Deployment, 2020-2027

11.3.6. France

11.3.6.1 Market Estimates & Forecast, 2020-2027

11.3.6.2 Market Estimates & Forecast by Deployment, 2020-2027

11.3.6.3 Market Estimates & Forecast by Service, 2020-2027

11.3.6.4 Market Estimates & Forecast by Deployment, 2020-2027

11.3.7 U.K

11.3.7.1 Market Estimates & Forecast, 2020-2027

11.3.7.2 Market Estimates & Forecast by Deployment, 2020-2027

11.3.7.3 Market Estimates & Forecast by Service, 2020-2027

11.3.7.4 Market Estimates & Forecast by Deployment, 2020-2027

11.4 Asia Pacific

11.4.1 Market Estimates & Forecast, 2020-2027

11.4.2 Market Estimates & Forecast by Deployment, 2020-2027

11.4.3 Market Estimates & Forecast by Service, 2020-2027

11.4.4 Market Estimates & Forecast by Deployment, 2020-2027

11.4.5 China

11.4.5.1 Market Estimates & Forecast, 2020-2027

11.4.5.2 Market Estimates & Forecast by Deployment, 2020-2027

11.4.5.3 Market Estimates & Forecast by Service, 2020-2027

11.4.5.4 Market Estimates & Forecast by Deployment, 2020-2027

11.4.6 India

11.4.6.1 Market Estimates & Forecast, 2020-2027

11.4.6.2 Market Estimates & Forecast by Deployment, 2020-2027

11.4.6.3 Market Estimates & Forecast by Service, 2020-2027

11.4.6.4 Market Estimates & Forecast by Deployment, 2020-2027

11.4.7 Japan

11.4.7.1 Market Estimates & Forecast, 2020-2027

11.4.7.2 Market Estimates & Forecast by Deployment, 2020-2027

11.4.7.3 Market Estimates & Forecast by Service, 2020-2027

11.4.7.4 Market Estimates & Forecast by Deployment, 2020-2027

11.4.8 Rest of Asia Pacific

11.4.8.1 Market Estimates & Forecast, 2020-2027

11.4.8.2 Market Estimates & Forecast by Deployment, 2020-2027

11.4.8.3 Market Estimates & Forecast by Service, 2020-2027

11.4.8.4 Market Estimates & Forecast by Deployment, 2020-2027

11.5 Rest of the World

11.5.1 Market Estimates & Forecast, 2020-2027

11.5.2 Market Estimates & Forecast by Deployment, 2020-2027

11.5.3 Market Estimates & Forecast by Service, 2020-2027

11.5.4 Market Estimates & Forecast by Deployment, 2020-2027

11.5.5 The Middle East & Africa

11.5.5.1 Market Estimates & Forecast, 2020-2027

11.5.5.2 Market Estimates & Forecast by Deployment, 2020-2027

11.5.5.3 Market Estimates & Forecast by Service, 2020-2027

11.5.5.4 Market Estimates & Forecast by Deployment, 2020-2027

11.5.6 Latin Countries

11.5.6.1 Market Estimates & Forecast, 2020-2027

11.5.6.2 Market Estimates & Forecast by Deployment, 2020-2027

11.5.6.3 Market Estimates & Forecast by Service, 2020-2027

11.5.6.4 Market Estimates & Forecast by Deployment, 2020-2027

12. Company Profiles

12.1 IBM (U.S.)

12.1.1 Company Overview

12.1.2 Product/Business Segment Overview

12.1.3 Financial Updates

12.1.4 Key Developments

12.2 Oracle Corporation (U.S.)

12.2.1 Company Overview

12.2.2 Product/Business Segment Overview

12.2.3 Financial Updates

12.2.4 Key Developments

12.3 Microsoft Corporation (U.S.)

12.3.1 Company Overview

12.3.2 Product/Business Segment Overview

12.3.3 Financial Updates

12.3.4 Key Developments

12.4 Amazon Web Services (U.S.)

12.4.1 Company Overview

12.4.2 Product/Business Segment Overview

12.4.3 Financial Updates

12.4.4 Key Developments

12.5 Google (U.S.)

12.5.1 Company Overview

12.5.2 Product/Business Segment Overview

12.5.3 Financial Updates

12.5.4 Key Developments

12.6 SAP SE (Germany)

12.6.1 Company Overview

12.6.2 Product/Business Segment Overview

12.6.3 Financial Updates

12.6.4 Key Developments

12.7 Cazena (U.S.)

12.7.1 Company Overview

12.7.2 Product/Business Segment Overview

12.7.3 Financial Updates

12.7.4 Key Developments

12.8 Arcadia Data (U.S.)

12.8.1 Company Overview

12.8.2 Product/Business Segment Overview

12.8.3 Financial Updates

12.8.4 Key Developments

12.9 DataTorrent (U.S.)

12.9.1 Company Overview

12.9.2 Product/Business Segment Overview

12.9.3 Financial Updates

12.9.4 Key Developments

12.10 DataHero (U.S.)

12.10.1 Company Overview

12.10.2 Product/Business Segment Overview

12.10.3 Financial Updates

12.10.4 Key Developments

13 Conclusion

LIST OF TABLES

Table1 World Population by Major Regions (2020 To 2030)

Table2 Global Big Data as a Service Market: By Region, 2020-2027

Table3 North America Big Data as a Service Market: By Country, 2020-2027

Table4 Europe Big Data as a Service Market: By Country, 2020-2027

Table5 Asia Pacific Big Data as a Service Market: By Country, 2020-2027

Table6 The Middle East & Africa Big Data as a Service Market: By Country, 2020-2027

Table7 Latin America Big Data as a Service Market: By Country, 2020-2027

Table8 Global Big Data as a Service by Deployment Market: By Regions, 2020-2027

Table9 North America Big Data as a Service by Deployment Market: By Country, 2020-2027

Table10 Europe Big Data as a Service by Deployment Market: By Country, 2020-2027

Table11 Asia Pacific Big Data as a Service by Deployment Market: By Country, 2020-2027

Table12 The Middle East & Africa Big Data as a Service by Deployment Market: By Country, 2020-2027

Table13 Latin America Big Data as a Service by Deployment Market: By Country, 2020-2027

Table14 Global Deployment Market: By Region, 2020-2027

Table15 Global Deployment Market: By Region, 2020-2027

Table16 Global Deployment Market: By Region, 2020-2027

Table17 North America Big Data as a Service Market, By Country

Table18 North America Big Data as a Service Market, By Deployment

Table19 North America Big Data as a Service Market, By Service

Table20 Europe: Big Data as a Service Market, By Service

Table21 Europe: Big Data as a Service Market, By Deployment

Table22 Asia Pacific: Big Data as a Service Market, By Country

Table23 Asia Pacific: Big Data as a Service Market, By Deployment

Table24 Asia Pacific: Big Data as a Service Market, By Service

Table25 The Middle East & Africa: Big Data as a Service Market, By Country

Table26 The Middle East & Africa Big Data as a Service Market, By Deployment

Table27 The Middle East & Africa Big Data as a Service Market, By Service

Table28 Latin America: Big Data as a Service Market, By Country

Table29 Latin America Big Data as a Service Market, By Deployment

Table30 Latin America Big Data as a Service Market, By Service

LIST OF FIGURES

FIGURE 1 Global Big Data as a Service market segmentation

FIGURE 2 Forecast Methodology

FIGURE 3 Five Forces Analysis of Global Big Data as a Service Market

FIGURE 4 Value Chain of Global Big Data as a Service Market

FIGURE 5 Share of Global Big Data as a Service Market in 2020, by country (in %)

FIGURE 6 Global Big Data as a Service Market, 2020-2027,

FIGURE 7 Sub segments of Deployment

FIGURE 8 Global Big Data as a Service Market size by Deployment, 2020

FIGURE 9 Share of Global Big Data as a Service Market by Deployment, 2020 TO 2027

FIGURE 10 Global Big Data as a Service Market size by Service, 2020

FIGURE 11 Share of Global Big Data as a Service Market by Service, 2020 TO 2027

Big Data as a Service Market

The big data as a service market is expected to reach USD 76.47 Billion, growing at a CAGR of 23.19% by 2030.

Segmentation

By Services Haa S Daa S Aaa S
By Deployment On Premise On Demand Hybrid
By Industry Bfsi Manufacturing Retail Healthcare Media & Entertainment Government

Key Players

  • Oracle Corporation (US)
  • IBM (US)
  • Microsoft Corporation (US)
  • Google (US)
  • Amazon Web Services (US)
  • SAP SE (Germany)
  • New Relic (US)
  • Arcadia Data (US)
  • Cazena (US)
  • Tableau Software (US)
  • DataTorrent (US)
  • VMware
  • Inc (US)
  • Hewlett-Packard (US)
  • Splunk (US)
  • DataHero (US)
  • SAS Institute (US)
  • and Teradata Corporation (US)

Drivers

  • High-tech algorithms being used in big data technology have been a beneficial strategy in time preserving. Identifying hidden insights by using the data discovery method has given raw data meaningful answers
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Big Data as a Service Market Overview:


What is Big Data? A question that revolves around all the professionals dealing will the increasing amount of data around the world in all the industries. Big Data Analytics is the solution to all this raw data revolving around us. It is the real-time data processing and extracting meaning out of this raw and metadata and find hidden patterns and relationships between the correlated data. Big data is the collection of data sets for which we cannot create buffer queries to process all this data so artificial intelligence with data analytics is being used to work on this cloud-based storage.


With an increased data volume and complex data sets, a 60% increase in adaptation of big data is recorded by business professionals in recent times. Data Science, machine learning, and artificial intelligence have filtered the use of increasingly raw data in Big Data as a Service Market. W; its once storing a small amount of data hardware servers were used, but it could no longer be possible due to increased data traffic of about multimillion bytes of data transfer per second of the day so Industry became a reliable Big Data as a Service Market trend. 

The big data as a service market is expected to reach USD 76.47 Billion, growing at a CAGR of 23.19% by 2030.


Big Data as a Service Market COVID-19 Analysis:


COVID-19 has impacted businesses and the world population around the globe; it is known to be one of the scariest viruses known to mankind as the treatment, source, and medicine are unknown to medical officials.  Applying big data service to analyze the impact and areas the virus is spread has been helpful to humans and helped describe a pattern to follow for prevention against the virus. Hospitals from all over have maintained a track of all the affected people in coordination with the local government has made it easier to contain the virus at local levels. Segregating patients on the symptoms with fatal and non-fatal one’s big data collection with statistical analysis has improved in the face of mankind.


Big Data as a Service Market Dynamics:



  • Drivers:


With an increased amount of raw data that cannot be processed using old scientific methods is no longer easier thus big data paved its way into the world of data science. Decision-making is the key holder of big data as a service market as analyzing data and identifying patterns has become easier. Identifying hidden insights by using the data discovery method has given raw data meaningful answers. Big data has helped the media and entertainment departments attract more consuming customer patterns and suggesting them their desired media. Data extraction was time-consuming in traditional times but high-tech algorithms being used in big data technology have been a beneficial strategy in time preserving.



  • Opportunities:


The efficient and productive workaround by building models that produce effective decision-making techniques using Big Data Analysis has enhanced the access and continuous availability of information by creating new data sets on the data and creating test cases to increase the supply chain. Corporates have found Big Data an evolving technology by creating a deep understanding of real-time data and identifying patterns and enhance customer engagement for better productivity and scalability. Big Data markets better product designs by using minimal hardware and involving cost-effective technologies to develop real-time machines.



  • Technology Analysis


Big Data as a Service Market trends have popular Cloud-based usage of artificial intelligence and data science making the world of data the largest source of semi constructed dataset which can be further used to discover meaningful insights by summarizing and accumulating these data sets. Data mining and diagnostic analysis are means he performs data recovery in the source of lost or fragmented data to analytics intelligence in predicting the latest Big Data as a Service Market trends and products. Big data in form of prescriptive analytics is the latest addition to the market trend to maximize profit in industrial fields. It works on the solution-building techniques and algorithms of the recurring problems by the means of machine learning and artificial intelligence. Hadoop, Cassandra, MongoDB, Talend are the tools involved in extracting meaningful information out of Big data by creating an open-source streaming platform for storing and analyzing the chunks of the dataset. Banking, telecommunication industry, healthcare and hospitals, entertainment and media platforms, educational platforms are the places where BIG DATA has evolved and optimized and marketed the latest trends.


Big Data as a Service Market Segment Overview:



  • By Service:


Big Data as Service market is segmented as Cloud-based and On-premise. On-premise works on the functionality of evaluating data by building algorithms of stored data used for industrial purposes. Cloud-based functions more on multiple functions like Hadoop for data storage and analyzing multi-user data. Kafka uses big data as a service to in popular cloud-tolerance of streaming online patterns. AaaS (Analytical Data Service) used to analyze frequently changing data and developing patterns to segregate relatable data.



  • By Technology:


By technology, Big Data as a Service Market is segmented as hardware and software. Hardware in terms of servers for storing devices and hubs and switches connecting the servers in regions worldwide. Software segmentation is related more to the combination of all the data science machinery i.e. deep learning, python, Hadoop, Machine Learning, analytical reasoning, and cloud computing. A combination of all these helps develop and identify the patterns of raw data and accumulate progressive analysis for future use.



  • By Vertical:


Big Data as a Service Market is segmented by vertical in terms of small and large enterprises. Small enterprises as small as music apps like YouTube, Spotify, iTunes, etc. where who record and analyze the type and pattern of music listened to and videos played for different users and suggesting them a consolidated list of their liked music, and videos. Larger enterprises like shopping apps that use algorithms and internet surfing data to suggest products to users as per their requirements.


Big Data as a Service Market Regional Analysis:


With the everlasting increase in the data volume, it has been tough to store and record data physically thus, cloud computing was introduced which led to virtual storage of data. Internet services, artificial intelligence and other data science methods have shown a progressive growth to businesses and enterprises around the world. Globally more than 60% of the world’s largest industries like telecom, healthcare, education, media, and entertainment have inclined their way in the big data market. Rural and urban areas have emerged profitable by making use of big data services as analysis. Hospitals have developed systems to store and analyze human disease and being proactive about it. IT companies have attracted more customers in the last decade in outsourcing services more than ever using the analytics to decode human behavior and extract valued information for meaningful purposes.


Big Data as a Service Market Competitive Landscape:


Big Data has transformed the world of data global age and analytic in the past decade as shown in the latest Big Data as a Service Market Forecast. The lobal industrial market is forecasted to show a growth in the big data market by 90% by the year 2022 with an expected expenditure of more than 180 billion US dollars. Many large vendors have invested in the data analytics methods of big data creating a global platform for data mining and refining for future industrial growth. North America and Canada’s market size has grown impeccably in recent years as most American companies have invested in big data assets. Europe has emerged as a promising leader by improving technology use and changing to a constructive approach. Asia-Pacific (China, Japan, India, Australia) have shown developments in the big data market making them prominent players in the latest big data trends.


Big Data as a Service Market Recent Developments:


IBM using DB2 and latest cloud technology has been dominating Big Data as a Service Market since the year 2016 followed by Oracle (US) who has been automating the database services by decreasing the cost of storing data by making use of Oracle cloud and autonomous dB (19c) which predicts the data growth and helps in fragmentation of similar data and providing companies with the insight of meaningful data to increase their value and customers globally. Google (US), Amazon (US), and Microsoft (US) have added a total revenue of 35% to their country’s market by digitalizing technology and adapting to the human interactive approach. SAP-HANA (Germany) is working on Europe’s sustainable industrial growth. Hewlett-Packard (HP) (US), VMWare (US), Data Torrent (US) are other leading key players in the big data industry. Infosys (India) and HCL (India) have provided extreme outsourcing business to India by attracting high revenue-generating customers.


Big Data as a Service Market Report Overview:


IBM, Microsoft, Oracle, AWS, DELL, Cisco are the world leaders in analyzing and segmenting data and driving industrial business to new heights using big data statistics. Adapting to data analytics, machine learning and artificial intelligence all come at the hand of big data services that help in revenue growth. 



Report Scope:
Report Attribute/Metric Details
  Market Size   USD 76.47 Billion
  CAGR   23.19%
  Base Year   2019
  Forecast Period   2020-2030
  Historical Data   2018
  Forecast Units   Value (USD Billion)
  Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
  Segments Covered   Services, Industry
  Geographies Covered   North America, Europe, Asia-Pacific
  Key Vendors   Oracle Corporation (US) IBM (US) Microsoft Corporation (US) Google (US) Amazon Web Services (US) SAP SE (Germany) New Relic (US) Arcadia Data (US) Cazena (US) Tableau Software (US) DataTorrent (US) VMware Inc (US) Hewlett-Packard (US) Splunk (US) DataHero (US) SAS Institute (US) and Teradata Corporation (US)
  Key Market Opportunities   Big Data markets better product designs by using minimal hardware and involving cost-effective technologies to develop real-time machines.
  Key Market Drivers   Decision-making is the key holder of big data as a service market as analyzing data and identifying patterns has become easier.


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Frequently Asked Questions (FAQ) :

IBM (U.S.), Oracle Corporation (U.S.), Microsoft Corporation (U.S.), Amazon Web Services (U.S.), Google (U.S.), SAP SE (Germany), Cazena (U.S.) are the key players participating in the growth of the market.

North America will be acquiring more than 60% of the market share, providing services in this market.

Europe and North America are the technologically advanced regions and are increasing deployment of advanced big data as a service features.

The major factor driving the growth of big data as a service market is focused on the growing requirement of structured data analysis.

The market is going to gain a valuation of USD 18 billion by the year 2030.