Global Big Data as a Service Market (2019 to 2026) - Growing Demand of Real-time Data Analytics - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Big data as a service Market by Solution Type, Deployment Model, Organization Size and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026" report has been added to ResearchAndMarkets.com's offering.

According to this report the global big data as a service market was valued at $4.99 billion in 2018, and is projected to reach $61.42 billion by 2026, registering a CAGR of 36.9% from 2019 to 2026.

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.

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 the big 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 Players

• Amazon Web Services, Inc.
• Hewlett Packard Enterprise (HP)
• IBM Corporation
• Microsoft Corporation
• Oracle Corporation
• SAP SE
• SAS Institute Inc.
• Teradata Corporation
• Google, Inc.
• Accenture

Key Topics Covered:

CHAPTER 1: INTRODUCTION

CHAPTER 2: EXECUTIVE SUMMARY

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

3.4. Market Dynamics

3.4.1. Drivers

3.4.1.1. Massive Growth of Big Data Across the Globe

3.4.1.2. Growing Demand of Real-Time Data Analytics

3.4.1.3. Government Initiatives Supporting Big Data Infrastructure

3.4.1.4. Upsurge in the Adoption of Predictive Modeling Tools

3.4.2. Restraint

3.4.2.1. Security and Privacy Threats

3.4.2.2. Lack of Big Data IT Skills

3.4.3. Opportunity

3.4.3.1. 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)

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

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

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

5.1. Market overview

5.2. Public Cloud

5.3. Private Cloud

5.4. Hybrid Cloud

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

6.1. Market overview

6.2. Small and Medium-Sized Businesses

6.3. Large Enterprise

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

7.1. Market overview

7.2. BFSI

7.3. Retail and E-commerce

7.4. IT & Telecom

7.5. Healthcare

7.6. Government

7.7. Manufacturing

7.8. Others

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

8.1. Market overview

8.2. North America

8.3. Europe

8.4. Asia-Pacific

8.5. LAMEA

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

For more information about this report visit https://www.researchandmarkets.com/r/8kk18t