Request for Covid-19 Impact Assessment of this Report

ICT & Media

Big data as a service Market by Solution Type (Hadoop-as-a-Service, Data-as-a-Service, and Data Analytics-as-a-Service), Deployment Model (Public Cloud, Private Cloud, and Hybrid Cloud), Organization Size (Small & Medium Enterprises and Large Enterprises), and Industry Vertical (BFSI, Retail and E-Commerce, IT & Telecom, Healthcare, Government, Manufacturing, and Others): Global Opportunity Analysis and Industry Forecast, 2019–2026

  • ALL3815948
  • 303 Pages
  • February 2020
  • ICT & Media
Download Sample    Get Discount   
 
Big data as a service (BDaaS) is a combination of big data analytics technologies and cloud computing platforms that benefits users to reduce the cost and time for the deployment of big data projects. Also, it allows enterprises to manage big data on the cloud and provides easy data access to all departments at any given time. Enterprises incur substantial costs while building big data infrastructure and recruiting skilled human resources. However, with the adoption of cloud-enabled big data technology, this cost has substantially reduced. BDaaS is considered as the delivery of statistical analysis information from a third party or a service provider, which helps the organization to gain insights with an objective to achieve competitive advantage over their competitors.

Growing demand for statistical analysis due to the generation of massive amount of unstructured data from the various organizations majorly drives the growth of the big data as a service market. In addition, factors such as expansion of big data analytics which covers data from intelligent systems such as in-vehicle infotainment, smart meters, sensors, and others, current growth of cloud computing, and growing demand for data science and predictive analysis further boosts the growth of the market. However, inadequacy of tools used for the service along with the security and privacy concerns which arise from the implementation of big data as a service are expected to hamper the growth of the market. Furthermore, growing investment in IT sectors by number of businesses and rising demand for advanced analytics and data warehousing solutions are expected to provide major opportunities for the growth of the big data as a service market in the next few years.

The global big data as a service (BDaaS) market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is bifurcated into Hadoop-as-a-Service (HaaS), Data-as-a-Service (DaaS), and Data Analytics-as-a-Service (DAaaS). Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is classified into small and medium-sized enterprise, and large enterprise. Depending on industry vertical, the market is segmented into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The report includes profiles of the key players operating in the market analysis. These include Amazon Web Services, Inc., Hewlett Packard Enterprise (HP), IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Google, Inc., and Accenture.

KEY BENEFITS

• The report provides an in-depth analysis of the global big data as a service market, outlining current trends, key driving factors, and potential areas for product investments.

• Key players are analyzed with respect to their primary offerings, recent investments, and future development strategies.

• Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in thebig data as a service industry.

• The quantitative analysis of the global big data as a service market from 2018 to 2026 is provided to determine the market potential.

KEY MARKET SEGMENTS

BY SOLUTION TYPE

• Hadoop-as-a-Service

• Data-as-a-Service

• Data Analytics-as-a-Service

BY DEPLOYMENT MODEL

• Public Cloud

• Private Cloud

• Hybrid Cloud

BY ORGANIZATION SIZE

• Small & Medium Enterprises

• Large Enterprises

BY INDUSTRY VERTICAL

• BFSI

• Retail and E-Commerce

• IT & Telecom

• Healthcare

• Government

• Manufacturing

• Others

BY REGION

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

o Spain

o Rest of Europe

• Asia-Pacific

o China

o India

o Japan

o Australia

o Rest of Asia-Pacific

• LAMEA

o Latin America

o Middle East

o Africa

KEY MARKET PLAYERS PROFILED IN THE REPORT

• Amazon Web Services, Inc.

• Hewlett Packard Enterprise (HP)

• IBM Corporation

• Microsoft Corporation

• Oracle Corporation

• SAP SE

• SAS Institute Inc.

• Teradata Corporation

• Google, Inc.

• Accenture

CHAPTER 1: INTRODUCTION

1.1. Report description

1.2. Key benefits for stakeholders

1.3. Key market segments

1.4. Research methodology

1.4.1. Secondary research

1.4.2. Primary research

1.4.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope

3.2. Key findings

3.2.1. Top investment pockets

3.2.2. Top impacting factors

3.3. Porter's five forces analysis

3.5. Market dynamics

3.5.1. Drivers

3.5.1.1. Massive growth of big data across the globe

3.5.1.2. Growing demand of real-time data analytics

3.5.1.3. Government initiatives supporting big data infrastructure

3.5.1.4. Upsurge in the adoption of predictive modeling tools

3.5.2. Restraint

3.5.2.1. Security and privacy threats

3.5.2.2. Lack of big data IT skills

3.5.3. Opportunity

3.5.3.1. Huge investment in IT sectors by the businesses

CHAPTER 4: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY SOLUTION TYPE

4.1. Market overview

4.2. Hadoop-as-a-service (HaaS)

4.2.1. Key market trends, growth factors, and opportunities

4.2.2. Market size and forecast, by region

4.2.3. Market analysis, by country

4.3. Data-as-a-Service (DAaaS)

4.3.1. Key market trends, growth factors, and opportunities

4.3.2. Market size and forecast, by region

4.3.3. Market analysis, by country

4.4. Data Analytics-as-a-Service (DAaaS)

4.4.1. Key market trends, growth factors, and opportunities

4.4.2. Market size and forecast, by region

4.4.3. Market analysis, by country

CHAPTER 5: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY DEPLOYMENT MODEL

5.1. Market overview

5.2. Public Cloud

5.2.1. Key market trends, growth factors, and opportunities

5.2.2. Market size and forecast, by region

5.2.3. Market analysis, by country

5.3. Private Cloud

5.3.1. Key market trends, growth factors, and opportunities

5.3.2. Market size and forecast, by region

5.3.3. Market analysis, by country

5.4. Hybrid Cloud

5.4.1. Key market trends, growth factors, and opportunities

5.4.2. Market size and forecast, by region

5.4.3. Market analysis, by country

CHAPTER 6: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY ORGANIZATION SIZE

6.1. Market overview

6.2. Small and Medium-Sized Businesses

6.2.1. Key market trends, growth factors, and opportunities

6.2.2. Market size and forecast, by region

6.2.3. Market analysis, by country

6.3. Large Enterprise

6.3.1. Key market trends, growth factors, and opportunities

6.3.2. Market size and forecast, by region

6.3.3. Market analysis, by country

CHAPTER 7: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY INDUSTRY VERTICAL

7.1. Market overview

7.2. BFSI

7.2.1. Key market trends, growth factors, and opportunities

7.2.2. Market size and forecast, by region

7.2.3. Market analysis, by country

7.3. Retail and E-commerce

7.3.1. Key market trends, growth factors, and opportunities

7.3.2. Market size and forecast, by region

7.3.3. Market analysis, by country

7.4. IT & Telecom

7.4.1. Key market trends, growth factors, and opportunities

7.4.2. Market size and forecast, by region

7.4.3. Market analysis, by country

7.5. Healthcare

7.5.1. Key market trends, growth factors, and opportunities

7.5.2. Market size and forecast, by region

7.5.3. Market analysis, by country

7.6. Government

7.6.1. Key market trends, growth factors, and opportunities

7.6.2. Market size and forecast, by region

7.6.3. Market analysis, by country

7.7. Manufacturing

7.7.1. Key market trends, growth factors, and opportunities

7.7.2. Market size and forecast, by region

7.7.3. Market analysis, by country

7.8. Others

7.8.1. Key market trends, growth factors, and opportunities

7.8.2. Market size and forecast, by region

7.8.3. Market analysis, by country

CHAPTER 8: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY REGION

8.1. Market overview

8.2. North America

8.2.1. Key market trends, growth factors, and opportunities

8.2.2. Market size and forecast, by solution type

8.2.3. Market size and forecast, by deployment model

8.2.4. Market size and forecast, by organization size

8.2.5. Market size and forecast, by industry vertical

8.2.6. Market size and forecast, by country

8.2.6.1. U.S.

8.2.6.1.1. U.S. market size and forecast, by solution type

8.2.6.1.2. U.S. market size and forecast, by deployment model

8.2.6.1.3. U.S. market size and forecast, by organization size

8.2.6.1.4. U.S. market size and forecast, by industry vertical

8.2.6.2. Canada

8.2.6.2.1. Canada market size and forecast, by solution type

8.2.6.2.2. Canada market size and forecast, by deployment model

8.2.6.2.3. Canada market size and forecast, by organization size

8.2.6.2.4. Canada market size and forecast, by industry vertical

8.3. Europe

8.3.1. Key market trends, growth factors, and opportunities

8.3.2. Market size and forecast, by solution type

8.3.3. Market size and forecast, by deployment model

8.3.4. Market size and forecast, by organization size

8.3.5. Market size and forecast, by industry vertical

8.3.6. Market size and forecast, by country

8.3.6.1. UK

8.3.6.1.1. UK market size and forecast, by solution type

8.3.6.1.2. UK market size and forecast, by deployment model

8.3.6.1.3. UK market size and forecast, by organization size

8.3.6.1.4. UK market size and forecast, by industry vertical

8.3.6.2. Germany

8.3.6.2.1. Germany market size and forecast, by solution type

8.3.6.2.2. Germany market size and forecast, by deployment model

8.3.6.2.3. Germany market size and forecast, by organization size

8.3.6.2.4. Germany market size and forecast, by industry vertical

8.3.6.3. France

8.3.6.3.1. France market size and forecast, by solution type

8.3.6.3.2. France market size and forecast, by deployment model

8.3.6.3.3. France market size and forecast, by organization size

8.3.6.3.4. France market size and forecast, by industry vertical

8.3.6.4. Spain

8.3.6.4.1. Spain market size and forecast, by solution type

8.3.6.4.2. Spain market size and forecast, by deployment model

8.3.6.4.3. Spain market size and forecast, by organization size

8.3.6.4.4. Spain market size and forecast, by industry vertical

8.3.6.5. Rest of Europe

8.3.6.5.1. Rest of Europe market size and forecast, by solution type

8.3.6.5.2. Rest of Europe market size and forecast, by deployment model

8.3.6.5.3. Rest of Europe market size and forecast, by organization size

8.3.6.5.4. Rest of Europe market size and forecast, by industry vertical

8.4. Asia-Pacific

8.4.1. Key market trends, growth factors, and opportunities

8.4.2. Market size and forecast, by solution type

8.4.3. Market size and forecast, by deployment model

8.4.4. Market size and forecast, by organization size

8.4.5. Market size and forecast, by industry vertical

8.4.6. Market size and forecast, by country

8.4.6.1. China

8.4.6.1.1. China market size and forecast, by solution type

8.4.6.1.2. China market size and forecast, by deployment model

8.4.6.1.3. China market size and forecast, by organization size

8.4.6.1.4. China market size and forecast, by industry vertical

8.4.6.2. India

8.4.6.2.1. India market size and forecast, by solution type

8.4.6.2.2. India market size and forecast, by deployment model

8.4.6.2.3. India market size and forecast, by organization size

8.4.6.2.4. India market size and forecast, by industry vertical

8.4.6.3. Japan

8.4.6.3.1. Japan market size and forecast, by solution type

8.4.6.3.2. Japan market size and forecast, by deployment model

8.4.6.3.3. Japan market size and forecast, by organization size

8.4.6.3.4. Japan market size and forecast, by industry vertical

8.4.6.4. Australia

8.4.6.4.1. Australia market size and forecast, by solution type

8.4.6.4.2. Australia market size and forecast, by deployment model

8.4.6.4.3. Australia market size and forecast, by organization size

8.4.6.4.4. Australia market size and forecast, by industry vertical

8.4.6.5. Rest of Asia-Pacific

8.4.6.5.1. Rest of Asia-Pacific market size and forecast, by solution type

8.4.6.5.2. Rest of Asia-Pacific market size and forecast, by deployment model

8.4.6.5.3. Rest of Asia-Pacific market size and forecast, by organization size

8.4.6.5.4. Rest of Asia-Pacific market size and forecast, by industry vertical

8.5. LAMEA

8.5.1. Key market trends, growth factors, and opportunities

8.5.2. Market size and forecast, by solution type

8.5.3. Market size and forecast, by deployment model

8.5.4. Market size and forecast, by organization size

8.5.5. Market size and forecast, by industry vertical

8.5.6. Market size and forecast, by country

8.5.6.1. Latin America

8.5.6.1.1. Latin America market size and forecast, by solution type

8.5.6.1.2. Latin America market size and forecast, by deployment model

8.5.6.1.3. Latin America market size and forecast, by organization size

8.5.6.1.4. Latin America market size and forecast, by industry vertical

8.5.6.2. Middle East

8.5.6.2.1. Middle East market size and forecast, by solution type

8.5.6.2.2. Middle East market size and forecast, by deployment model

8.5.6.2.3. Middle East market size and forecast, by organization size

8.5.6.2.4. Middle East market size and forecast, by industry vertical

8.5.6.3. Africa

8.5.6.3.1. Africa market size and forecast, by solution type

8.5.6.3.2. Africa market size and forecast, by deployment model

8.5.6.3.3. Africa market size and forecast, by organization size

8.5.6.3.4. Africa market size and forecast, by industry vertical

CHAPTER 9: COMPETITIVE LANDSCAPE

9.1. Competitive dashboard

9.2. Key player positioning, 2018

9.3. Top winning strategies

9.4. Key developments

9.4.1. New product launches

9.4.2. Partnership

9.4.3. Acquisition

9.4.4. Product development

9.4.5. Collaboration

CHAPTER 10: COMPANY PROFILE

10.1. ACCENTURE

10.1.1. Company overview

10.1.2. Key executives

10.1.3. Company snapshot

10.1.4. Operating business segments

10.1.5. Product portfolio

10.1.6. R&D Expenditure

10.1.7. Business performance

10.1.8. Key strategic moves and developments

10.2. AMAZON WEB SERVICES, INC.

10.2.1. Company overview

10.2.2. Key executives

10.2.3. Company snapshot

10.2.4. Operating business segments

10.2.5. Product portfolio

10.2.6. Business performance

10.2.7. Key strategic moves and developments

10.3. GOOGLE LLC

10.3.1. Company overview

10.3.2. Key Executives

10.3.3. Company snapshot

10.3.4. Product portfolio

10.3.5. R&D Expenditure

10.3.6. Business performance

10.3.7. Key strategic moves and developments

10.4. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

10.4.1. Company overview

10.4.2. Key executives

10.4.3. Company snapshot

10.4.4. Operating business segments

10.4.5. Product portfolio

10.4.6. R&D expenditure

10.4.7. Business performance

10.4.8. Key strategic moves and developments

10.5. INTERNATIONAL BUSINESS MACHINES CORPORATION

10.5.1. Company overview

10.5.2. Key Executives

10.5.3. Company snapshot

10.5.4. Operating business segments

10.5.5. Product portfolio

10.5.6. R&D Expenditure

10.5.7. Business performance

10.5.8. Key strategic moves and developments

10.6. MICROSOFT CORPORATION

10.6.1. Company overview

10.6.2. Key executives

10.6.3. Company snapshot

10.6.4. Operating business segments

10.6.5. Product portfolio

10.6.6. R&D expenditure

10.6.7. Business performance

10.6.8. Key strategic moves and developments

10.7. ORACLE CORPORATION

10.7.1. Company overview

10.7.2. Key Executives

10.7.3. Company snapshot

10.7.4. Operating business segments

10.7.5. Product portfolio

10.7.6. R&D Expenditure

10.7.7. Business performance

10.7.8. Key strategic moves and developments

10.8. SAP SE

10.8.1. Company overview

10.8.2. Key Executives

10.8.3. Company snapshot

10.8.4. Operating business segments

10.8.5. Product portfolio

10.8.6. R&D Expenditure

10.8.7. Business performance

10.8.8. Key strategic moves and developments

10.9. SAS INSTITUTE INC.

10.9.1. Company overview

10.9.2. Key Executives

10.9.3. Company snapshot

10.9.4. Product portfolio

10.9.5. Business performance

10.10. Teradata

10.10.1. Company overview

10.10.2. Company snapshot

10.10.3. Product portfolio

10.10.4. Business performance

10.10.5. Key strategic moves and developments

 
Purchase Options

* Taxes/Fees, If applicable will be
added during checkout. All prices in USD.

Need More Information

Contact Us

+ 1-888-961-4454

Drop Us an email at

help@bigmarketresearch.com

Similar Reports

World Intelligent Virtual Assistant Market Opportunities and Forecasts, 2014 - 2020

Intelligent virtual assistant (IVA) is a next generation software solution that facilitates user interaction with PC, through internet, SMS, messenger and other interfaces. IVA systems use various interaction methods, which include text-to-text, speech-to-text, text-to-speech, and speech-to-speech, among others to assist users in executing their respective tasks. The ...

  • Publish Date: January 1, 2016
  • $5370
World Software Defined Networking Market - Opportunities and Forecasts, 2015-2022

Software defined networking (SDN) is a technology that creates a global view of network to provide centralized, intelligence-based network control by separating the control logic from off-device computer resources. This technology has redefined the networking ...

  • Publish Date: May 25, 2016
  • $5370
World Computer Numerical Control (CNC) Market - Opportunities and Forecasts, 2014-2022

Computer Numerical Control (CNC) machines are the fully-automated and sophisticated solution for metal working tools controlled by computers. These machines are the asset of machine tools industry owing to the profit gained by its application in the end-user i...

  • Publish Date: November 19, 2016
  • $5370