Report Description

Global big data as a service market is expected to thrive during the forecast period. Rising adoption of cloud-based advanced analytics by large enterprises and increasing number of ecommerce platforms are the main drivers of the global big data as a service market. The need for technologically sophisticated big data solutions to store, evaluate, gather, visualize, and anticipate information from massive data volumes has increased along with the necessity to ensure good data quality and provide a channelized data flow in organizations. The global market for big data as a service is anticipated to experience rapid expansion in the ensuing years due to the increased usage of cloud-based data analytics solutions.

 

The global big data as a service market refers to the industry that provides cloud-based services for managing and analyzing large volumes of data. Big data as a service (BDaaS) is a model where organizations outsource their big data needs to service providers who offer infrastructure, storage, processing, and analytics capabilities in the cloud.

 

Increasing Volume and Variety of Data Drives Market Growth

 

The increasing volume and variety of data in the context of BDaaS signifies the exponential growth and diverse nature of data being generated by various sources. This surge in data is driven by factors such as the digital transformation of businesses, the proliferation of connected devices, and the widespread adoption of online services.

 

The volume of data has reached unprecedented levels, with organizations accumulating vast amounts of structured and unstructured data. This includes customer interactions, transactional records, social media posts, sensor data, log files, and more. Simultaneously, the variety of data has expanded, encompassing different formats, such as text, images, audio, video, and real-time streaming data. Additionally, BDaaS providers play a crucial role in managing and extracting value from this massive and varied data. They offer scalable infrastructure, storage, processing, and analytics capabilities to handle the growing data volumes. They enable organizations to store and process data efficiently, perform complex analytics, and derive actionable insights. The ability to effectively handle the volume and variety of data allows organizations to gain a comprehensive understanding of their operations, customers, and market trends. It empowers them to make data-driven decisions, optimize processes, improve customer experiences, identify new business opportunities, and drive innovation.

 

BDaaS players continually evolve their platforms to accommodate the increasing data volume and variety. They integrate advanced technologies such as machine learning and real-time analytics to unlock valuable insights from the data. This enables organizations to stay competitive in a data-centric world by harnessing the full potential of big data and leveraging it for strategic advantages.

 

Increasing Adoption of Cloud-based Advanced Analytics by Large Enterprises to Aid Growth

 

The development of big data technology services supported by cloud-based advanced analytics is the primary emphasis of major companies in the big data as a service industry across the world. Applications for machine learning, visualization, data/text mining, forecasting, sentiment and semantic analysis, multivariate statistics, network and cluster analysis, graph analysis, complex event processing, and others are all included in cloud-based advanced analytics. The organization's websites and associated data library are further protected by the advanced analytics tools from malicious cyberattacks and unsafe scripts. As an illustration, in June 2019, Oracle Corporation and Microsoft Corporation teamed to help users move and run mission-critical business across advanced analytics, made available by the Microsoft Azure Cloud and the Oracle Cloud. In the upcoming years, this alliance will assist a wide range of prospects for BDaaS providers.

 

Increasing Number of Ecommerce Platforms to Bolster Growth

 

The growing number of connected devices across the world is one of the main drivers propelling the growth of the global big data as a service market. Connected devices are being adopted by end-user industries for their commercial and production operations, including government, media & entertainment, retail, BFSI, and manufacturing. The internet of things (IoT) ecosystem includes connected gadgets, which produce enormous volumes of data. Numerous analytical applications, including data/text mining, complex event processing, multivariate statistics, neural networks, and others, use this data, which is gathered and stored. A study by Forbes Media LLC. published in May 2018 found that 2.5 quintillion bytes of data are produced daily on average. The need for BDaaS is anticipated to increase during the forecast period due to the proliferation of linked devices.

 

Rising Security Breaches and Lack of Skilled Professionals Hamper Market Growth

 

Although BDaaS offers a wide range of advantages such end-to-end solutions, improved storage, and tractability, the solutions have a few limitations. Security flaws, deployment and operability problems, and a shortage of qualified specialists are a few of the major market constraints. In addition, finding and keeping skilled workers to create complex BDaaS is a barrier impeding growth.

 

As the volume and value of data stored and processed in BDaaS platforms increase, the risk of security breaches also escalates. Cybercriminals are constantly evolving their techniques to exploit vulnerabilities and gain unauthorized access to sensitive data. Any security breach in BDaaS platforms can have severe consequences, including financial losses, reputational damage, and legal liabilities. These breaches erode customer trust and confidence in BDaaS providers, hindering market growth. To mitigate this challenge, BDaaS providers must prioritize data security and adopt robust security measures. This includes implementing strong encryption techniques, access controls, and authentication mechanisms. Regular security audits, vulnerability assessments, and incident response plans are also crucial to identify and address potential threats proactively.

 

Overcoming these challenges is critical for the sustainable growth of the global big data as a service market. BDaaS providers must demonstrate a strong commitment to data security, invest in cutting-edge security technologies, and actively participate in talent development initiatives. By addressing these challenges, the global big data as a service market can foster trust among customers, accelerate adoption, and unlock the full potential of big data analytics for organizations across industries.




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Recent Developments

 

·      In November 2022, the Wipro Data Intelligence Suite, a one-stop shop for speeding cloud modernization and data monetization, was introduced by Wipro Ltd. The suite is intended to modernize data estates that utilize Amazon Web Services (AWS), including data stores, pipelines, and visualizations.

·      Cloudera, a hybrid data firm, released Cloudera Data Platform (CDP) One in August 2022. A SaaS platform called CDP One offers rapid and easy self-service analytics and exploratory data science on any kind of data.

·    In its database and analytics portfolios, Amazon Web Services, Inc. (AWS) launched five new capabilities in November 2022. These enhancements make it easier for companies to run high-performance databases and analytics workloads at scale by enabling users to manage and analyze data at a petabyte size more quickly and efficiently.

·      In October 2022, Oracle unveiled the Oracle Network Analytics Suite, a new set of analytics tools that are cloud-native by design. This package uses network function data, machine learning, and artificial intelligence to enable operators to make more automated and knowledgeable decisions on the performance and stability of their whole 5G network core.

·     On May 8, 2023, Deloitte and Google Cloud announced a major expansion of their decade-long alliance relationship to help bring Google Cloud’s advanced Generative AI capabilities to enterprises in every industry.

·      Microsoft and Oracle teamed up in June 2019. Customers would be able to move and execute mission-critical enterprise workloads across Microsoft Azure and the Oracle Cloud due to the agreement. The collaboration would enable businesses to seamlessly combine Oracle Cloud services, such as autonomous database, with Azure services, such as analytics and AI.

 

Market Segmentation

 

The global big data as a service market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is divided into hadoop-as-a-service, data-as-a-service, and data analytics-as-a-service. Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is divided into small & medium enterprises and large enterprises. Based on industry vertical, the market is divided into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is further bifurcated into North America, Asia-Pacific, Europe, South America, and Middle East & Africa.

 

Market players

 

Major market players in the global big data as a service market are Microsoft Corporation, Oracle Corporation, Google LLC, Hewlett Packard Enterprise Development LP, Accenture, Teradata Corporation, Sap SE, Sas Institute Inc., Amazon Web Services, Inc., and International Business Machines Corporation


Attribute

Details

Base Year

2022

Historic Data

2018 – 2021

Estimated Year

2023

Forecast Period

2024 – 2028

Quantitative Units

Revenue in USD Million and CAGR for 2018-2022 and 2023-2028

Report coverage

Revenue forecast, company share, growth factors, and trends

Segments covered

Solution Type

Deployment Model

Organization Size

Industry Vertical

Regional scope

North America, Asia-Pacific, Europe, South America, Middle East & Africa

Country scope

United States, Canada, Mexico, China, India, Japan, South Korea, Australia, Germany, United Kingdom, France, Spain, Italy, Brazil, Argentina, Colombia, Saudi Arabia, South Africa, UAE

Key companies profiled

Microsoft Corporation, Oracle Corporation, Google LLC, Hewlett Packard Enterprise Development LP, Accenture, Teradata Corporation, Sap SE, Sas Institute Inc., Amazon Web Services, Inc., International Business Machines Corporation

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

 

Report Scope:

In this report, the global big data as a service market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

·         Big Data as a Service Market, By Solution Type:

o   Hadoop-as-a-Service

o   Data-as-a-Service

o   Data Analytics-as-a-Service

·         Big Data as a Service Market, By Deployment Model:

o   Public Cloud

o   Private Cloud

o   Hybrid Cloud

·         Big Data as a Service Market, By Organization Size:

o   Small & Medium Enterprises

o   Large Enterprises

·         Big Data as a Service Market, By Industry Vertical:

o   BFSI

o   Retail and E-Commerce

o   IT & Telecom

o   Healthcare

o   Government

o   Manufacturing

o   Others

·         Big Data as a Service Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Asia-Pacific

§  China

§  India

§  Japan

§  South Korea

§  Australia

o   Europe

§  Germany

§  United Kingdom

§  France

§  Spain

§  Italy

o   South America

§  Brazil

§  Argentina

§  Colombia

o   Middle East

§  Saudi Arabia

§  South Africa

§  UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the global big data as a service market.

Available Customizations:

With the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

The global big data as a service market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

1.    Service Overview

1.1.  Market Definition

1.2.  Scope of the Market

1.2.1.    Markets Covered

1.2.2.    Years Considered for Study

1.2.3.    Key Market Segmentations

2.    Research Methodology

2.1.  Baseline Methodology

2.2.  Key Industry Partners

2.3.  Major Association and Secondary Sources

2.4.  Forecasting Methodology

2.5.  Data Triangulation & Validation

2.6.  Assumptions and Limitations

3.    Executive Summary

4.    Voice of Customers

5.    Global Big Data as a Service Market Outlook

5.1.  Market Size & Forecast

5.1.1.    By Value

5.2.  Market Share & Forecast

5.2.1.    By Solution Type (Hadoop-as-a-Service, Data-as-a-Service, and Data Analytics-as-a-Service)

5.2.2.    By Deployment Model (Public Cloud, Private Cloud, and Hybrid Cloud)

5.2.3.    By Organization Size (Small & Medium Enterprises and Large Enterprises)

5.2.4.    By Industry Vertical (BFSI, Retail and E-Commerce, IT & Telecom, Healthcare, Government, Manufacturing, and Others)

5.2.5.    By Region

5.3.  By Company (2022)

5.4.  Market Map

6.    North America Big Data as a Service Market Outlook

6.1.  Market Size & Forecast

6.1.1.    By Value

6.2.  Market Share & Forecast

6.2.1.    By Solution Type

6.2.2.    By Deployment Model

6.2.3.    By Organization Size

6.2.4.    By Industry Vertical

6.2.5.    By Country

6.3.  North America: Country Analysis

6.3.1.    United States Big Data as a Service Market Outlook

6.3.1.1.        Market Size & Forecast

6.3.1.1.1.     By Value 

6.3.1.2.        Market Share & Forecast

6.3.1.2.1.           By Solution Type

6.3.1.2.2.           By Deployment Model

6.3.1.2.3.           By Organization Size

6.3.1.2.4.           By Industry Vertical

6.3.2.    Canada Big Data as a Service Market Outlook

6.3.2.1.        Market Size & Forecast

6.3.2.1.1.     By Value 

6.3.2.2.        Market Share & Forecast

6.3.2.2.1.           By Solution Type

6.3.2.2.2.           By Deployment Model

6.3.2.2.3.           By Organization Size

6.3.2.2.4.           By Industry Vertical

6.3.3.    Mexico Big Data as a Service Market Outlook

6.3.3.1.        Market Size & Forecast

6.3.3.1.1.     By Value 

6.3.3.2.        Market Share & Forecast

6.3.3.2.1.           By Solution Type

6.3.3.2.2.           By Deployment Model

6.3.3.2.3.           By Organization Size

6.3.3.2.4.           By Industry Vertical

7.    Asia-Pacific Big Data as a Service Market Outlook

7.1.  Market Size & Forecast

7.1.1.    By Value

7.2.  Market Share & Forecast

7.2.1.    By Solution Type

7.2.2.    By Deployment Model

7.2.3.    By Organization Size

7.2.4.    By Industry Vertical

7.2.5.    By Country

7.3.  Asia-Pacific: Country Analysis

7.3.1.    China Big Data as a Service Market Outlook

7.3.1.1.        Market Size & Forecast

7.3.1.1.1.     By Value 

7.3.1.2.        Market Share & Forecast

7.3.1.2.1.           By Solution Type

7.3.1.2.2.           By Deployment Model

7.3.1.2.3.           By Organization Size

7.3.1.2.4.           By Industry Vertical

7.3.2.    India Big Data as a Service Market Outlook

7.3.2.1.        Market Size & Forecast

7.3.2.1.1.     By Value 

7.3.2.2.        Market Size & Forecast

7.3.2.2.1.           By Solution Type

7.3.2.2.2.           By Deployment Model

7.3.2.2.3.           By Organization Size

7.3.2.2.4.           By Industry Vertical

7.3.3.    Japan Big Data as a Service Market Outlook

7.3.3.1.        Market Size & Forecast

7.3.3.1.1.     By Value 

7.3.3.2.        Market Size & Forecast

7.3.3.2.1.           By Solution Type

7.3.3.2.2.           By Deployment Model

7.3.3.2.3.           By Organization Size

7.3.3.2.4.           By Industry Vertical

7.3.4.    South Korea Big Data as a Service Market Outlook

7.3.4.1.        Market Size & Forecast

7.3.4.1.1.     By Value 

7.3.4.2.        Market Size & Forecast

7.3.4.2.1.           By Solution Type

7.3.4.2.2.           By Deployment Model

7.3.4.2.3.           By Organization Size

7.3.4.2.4.           By Industry Vertical

7.3.5.    Australia Big Data as a Service Market Outlook

7.3.5.1.        Market Size & Forecast

7.3.5.1.1.     By Value 

7.3.5.2.        Market Share & Forecast

7.3.5.2.1.           By Solution Type

7.3.5.2.2.           By Deployment Model

7.3.5.2.3.           By Organization Size

7.3.5.2.4.           By Industry Vertical

8.    Europe Big Data as a Service Market Outlook

8.1.  Market Size & Forecast

8.1.1.    By Value

8.2.  Market Share & Forecast

8.2.1.    By Solution Type

8.2.2.    By Deployment Model

8.2.3.    By Organization Size

8.2.4.    By Industry Vertical

8.2.5.    By Country

8.3.  Europe: Country Analysis

8.3.1.    Germany Big Data as a Service Market Outlook

8.3.1.1.        Market Size & Forecast

8.3.1.1.1.     By Value 

8.3.1.2.        Market Share & Forecast

8.3.1.2.1.           By Solution Type

8.3.1.2.2.           By Deployment Model

8.3.1.2.3.           By Organization Size

8.3.1.2.4.           By Industry Vertical

8.3.2.    United Kingdom Big Data as a Service Market Outlook

8.3.2.1.        Market Size & Forecast

8.3.2.1.1.     By Value 

8.3.2.2.        Market Share & Forecast

8.3.2.2.1.           By Solution Type

8.3.2.2.2.           By Deployment Model

8.3.2.2.3.           By Organization Size

8.3.2.2.4.           By Industry Vertical

8.3.3.    France Big Data as a Service Market Outlook

8.3.3.1.        Market Size & Forecast

8.3.3.1.1.     By Value 

8.3.3.2.        Market Share & Forecast

8.3.3.2.1.           By Solution Type

8.3.3.2.2.           By Deployment Model

8.3.3.2.3.           By Organization Size

8.3.3.2.4.           By Industry Vertical

8.3.4.    Italy Big Data as a Service Market Outlook

8.3.4.1.        Market Size & Forecast

8.3.4.1.1.     By Value 

8.3.4.2.        Market Share & Forecast

8.3.4.2.1.           By Solution Type

8.3.4.2.2.           By Deployment Model

8.3.4.2.3.           By Organization Size

8.3.4.2.4.           By Industry Vertical

8.3.5.    Spain Big Data as a Service Market Outlook

8.3.5.1.        Market Size & Forecast

8.3.5.1.1.     By Value 

8.3.5.2.        Market Share & Forecast

8.3.5.2.1.           By Solution Type

8.3.5.2.2.           By Deployment Model

8.3.5.2.3.           By Organization Size

8.3.5.2.4.           By Industry Vertical

9.    South America Big Data as a Service Market Outlook

9.1.  Market Size & Forecast

9.1.1.    By Value

9.2.  Market Share & Forecast

9.2.1.    By Solution Type

9.2.2.    By Deployment Model

9.2.3.    By Organization Size

9.2.4.    By Industry Vertical

9.2.5.    By Country

9.3.  South America: Country Analysis

9.3.1.    Brazil Big Data as a Service Market Outlook

9.3.1.1.        Market Size & Forecast

9.3.1.1.1.     By Value 

9.3.1.2.        Market Share & Forecast

9.3.1.2.1.           By Solution Type

9.3.1.2.2.           By Deployment Model

9.3.1.2.3.           By Organization Size

9.3.1.2.4.           By Industry Vertical

9.3.2.    Argentina Big Data as a Service Market Outlook

9.3.2.1.        Market Size & Forecast

9.3.2.1.1.     By Value 

9.3.2.2.        Market Share & Forecast

9.3.2.2.1.           By Solution Type

9.3.2.2.2.           By Deployment Model

9.3.2.2.3.           By Organization Size

9.3.2.2.4.           By Industry Vertical

9.3.3.    Colombia Big Data as a Service Market Outlook

9.3.3.1.        Market Size & Forecast

9.3.3.1.1.     By Value 

9.3.3.2.        Market Share & Forecast

9.3.3.2.1.           By Solution Type

9.3.3.2.2.           By Deployment Model

9.3.3.2.3.           By Organization Size

9.3.3.2.4.           By Industry Vertical

10. Middle East & Africa Big Data as a Service Market Outlook

10.1.             Market Size & Forecast

10.1.1.     By Value

10.2.             Market Share & Forecast

10.2.1. By Solution Type

10.2.2. By Deployment Model

10.2.3. By Organization Size

10.2.4. By Industry Vertical

10.2.5. By Country

10.3.             Middle East & Africa: Country Analysis

10.3.1. Saudi Arabia Big Data as a Service Market Outlook

10.3.1.1.     Market Size & Forecast

10.3.1.1.1.   By Value 

10.3.1.2.     Market Share & Forecast

10.3.1.2.1.         By Solution Type

10.3.1.2.2.         By Deployment Model

10.3.1.2.3.         By Organization Size

10.3.1.2.4.         By Industry Vertical

10.3.2. South Africa Big Data as a Service Market Outlook

10.3.2.1.     Market Size & Forecast

10.3.2.1.1.   By Value 

10.3.2.2.     Market Share & Forecast

10.3.2.2.1.         By Solution Type

10.3.2.2.2.         By Deployment Model

10.3.2.2.3.         By Organization Size

10.3.2.2.4.         By Industry Vertical

10.3.3. UAE Big Data as a Service Market Outlook

10.3.3.1.     Market Size & Forecast

10.3.3.1.1.   By Value 

10.3.3.2.     Market Share & Forecast

10.3.3.2.1.         By Solution Type

10.3.3.2.2.         By Deployment Model

10.3.3.2.3.         By Organization Size

10.3.3.2.4.         By Industry Vertical

11. Market Dynamics

11.1. Drivers

11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

13.1.     Microsoft Corporation   

13.1.1.               Business Overview

13.1.2.               Key Revenue and Financials

13.1.3.               Recent Developments

13.1.4.               Key Personnel

13.1.5.               Key Product/Services

13.2.     Oracle Corporation    

13.2.1.               Business Overview

13.2.2.               Key Revenue and Financials

13.2.3.               Recent Developments

13.2.4.               Key Personnel

13.2.5.               Key Product/Services

13.3.     Google LLC    

13.3.1.               Business Overview

13.3.2.               Key Revenue and Financials

13.3.3.               Recent Developments

13.3.4.               Key Personnel

13.3.5.               Key Product/Services

13.4.     Hewlett Packard Enterprise Development LP  

13.4.1.               Business Overview

13.4.2.               Key Revenue and Financials

13.4.3.               Recent Developments

13.4.4.               Key Personnel

13.4.5.               Key Product/Services

13.5.     Accenture   

13.5.1.               Business Overview

13.5.2.               Key Revenue and Financials

13.5.3.               Recent Developments

13.5.4.               Key Personnel

13.5.5.               Key Product/Services

13.6.     Teradata Corporation

13.6.1.               Business Overview

13.6.2.               Key Revenue and Financials

13.6.3.               Recent Developments

13.6.4.               Key Personnel

13.6.5.               Key Product/Services

13.7.     Sap SE   

13.7.1.               Business Overview

13.7.2.               Key Revenue and Financials

13.7.3.               Recent Developments

13.7.4.               Key Personnel

13.7.5.               Key Product/Services

13.8.     Sas Institute Inc.

13.8.1.               Business Overview

13.8.2.               Key Revenue and Financials

13.8.3.               Recent Developments

13.8.4.               Key Personnel

13.8.5.               Key Product/Services

13.9.     Amazon Web Services, Inc.

13.9.1.               Business Overview

13.9.2.               Key Revenue and Financials

13.9.3.               Recent Developments

13.9.4.               Key Personnel

13.9.5.               Key Product/Services

13.10.   International Business Machines Corporation (IBM)

13.10.1.            Business Overview

13.10.2.            Key Revenue and Financials

13.10.3.            Recent Developments

13.10.4.            Key Personnel

13.10.5.            Key Product/Services

14. Strategic Recommendations

15. About Us & Disclaimer

Figures and Tables

Frequently asked questions

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North America region is the dominating region in the global big data as a service market because it is the area with the highest level of technology adoption.

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Microsoft Corporation, Oracle Corporation, Google LLC, Hewlett Packard Enterprise Development LP, Accenture, Teradata Corporation, Sap SE, Sas Institute Inc., Amazon Web Services, Inc., and International Business Machines Corporation are the major market players in the global big data as a service market.

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The main drivers of the global big data as a service market are increasing volume and variety of data and global adoption of cloud computing. These drivers collectively contribute to the growing adoption of big data as a service, as organizations recognize the value of leveraging big data and advanced analytics to drive innovation, improve decision-making, and gain a competitive advantage in today's data-driven business landscape.

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The main challenges of the global big data as a service market are data security and privacy and data integration and compatibility.

profile

Sakshi Bajaal

Business Consultant
Press Release

Big Data as a Service Market is Expected to grow at an impressive CAGR

Aug, 2023

The increasing volume and variety of data handling is expected to drive the growth of the global big data as a service market during the forecast period.