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The future of the big data as a service market looks promising with opportunities in the banking, financial services & insurance (BFSI), information technology (IT) & telecom, healthcare & life sciences, ecommerce & retail, manufacturing, and media & entertainment industries. The global big data as a service market is expected to decline in 2020 due to the global economic recession led by the COVID-19 pandemic. However, the market will witness recovery in the year 2021, and it is expected grow with a CAGR of 24% to 26% from 2020 to 2025. The major drivers for this market are increasing demand for the structured data analysis, rising demand to gain actionable insights in industries, and increasing organizational data across industries owing to digitalization and automation of business processes. 

A more than 150 page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of big data as a service market report download the report brochure.
 
 
 
 
 
 
The study includes trends and forecasts for the global big data as a service market by component, deployment type, organization size, end use industry, and region as follows:

By Component [$M shipment analysis for 2014 – 2025]:
  • Solutions
    • Hadoop as a Service (HDaaS)
    • Data Analytics as a Service (DAaaS)
    • Others
  • Services 

By Deployment Type [$M shipment analysis for 2014 – 2025]:
  • Public Cloud
  • Hybrid Cloud
  • Private Cloud 

By Organization Size [$M shipment analysis for 2014 – 2025]:
  • Small and Medium-sized Enterprises (SMEs) 
  • Large Enterprises

By End Use Industry [$M shipment analysis for 2014 – 2025]:
  • Banking, Financial Services and Insurance (BFSI)
  • Information Technology (IT) and Telecom
  • Healthcare and Life Sciences
  • eCommerce and Retail
  • Manufacturing
  • Media and Entertainment
  • Others   

By Region [$M shipment analysis for 2014 – 2025]:
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
  • The Rest of the World
 
Some of the big data as a service companies profiled in this report include IBM, Oracle, Microsoft, Google, AWS, SAP, Teradata, SAS, Dell Technologies, HPE, CenturyLink, Splunk, Cloudera, Salesforce, Qubole, GoodData, Hitachi Vantara, IRI, 1010data, and Guavus

Solutions will remain the largest component segment over the forecast period due to rapid increases in data generated by enterprises across industry verticals.
Public cloud will remain the largest deployment type segment during the forecast period, as it provides cost efficiency to clients.

North America will remain the largest region during the forecast period due to the existence of a large number of traders of BDaaS.




 
Features of Big Data as a Service Market
 
  • Market Size Estimates: Big data as a service market size estimation in terms of value ($M)
  • Trend and Forecast Analysis: Market trends (2014-2019) and forecast (2020-2025) by various segments and regions.
  • Segmentation Analysis: Market size by component, deployment type, organization size, and end use industry
  • Regional Analysis: Big data as a service market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different component, deployment type, organization size, end use industry, and regions for big data as a service market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the big data as a service market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.





 
This report answers following 11 key questions
 
Q.1 What are some of the most promising potential, high-growth opportunities for the global big data as a service market by component (solutions (hadoop as a service (HDaaS), data analytics as a service (DAaaS), and others) and services), deployment type (public cloud, hybrid cloud, and private cloud), organization size (small and medium-sized enterprises (SMEs) and large enterprises), end use industry (banking, financial services and insurance (BFSI), information technology (IT) and telecom, healthcare and life sciences, ecommerce and retail, manufacturing, media and entertainment, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the big data as a service market?
Q.5 What are the business risks and threats to the big data as a service market?
Q.6 What are emerging trends in this big data as a service market and the reasons behind them?
Q.7 What are some changing demands of customers in the big data as a service market?
Q.8 What are the new developments in the big data as a service market? Which companies are leading these developments?
Q.9 Who are the major players in the big data as a service market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in the big data as a service market, and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M&A activities did take place in the last five years in the big data as a service market?
 

Table of Contents


 
1. Executive Summary

2. Market Background and Classifications
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2014 to 2025
3.1: Macroeconomic Trends (2014-2019) and Forecast (2020-2025)
3.2: Global Big Data as a Service Market Trends (2014-2019) and Forecast (2020-2025)
3.3: Global Big Data as a Service Market by Component
3.3.1: Solutions 
3.3.1.1: Hadoop as a Service (HDaaS)
3.3.1.2: Data Analytics as a Service (DAaaS)
3.3.1.3: Others
3.3.2: Services 
3.4: Global Big Data as a Service Market by Deployment Type
3.4.1: Public Cloud
3.4.2: Hybrid Cloud
3.4.3: Private Cloud 
3.5: Global Big Data as a Service Market by Organization Size
3.5.1: Small and Medium-sized Enterprises (SMEs) 
3.5.2: Large Enterprises 
3.6: Global Big Data as a Service Market by End Use Industry 
3.6.1: Banking, Financial Services and Insurance (BFSI)
3.6.2: Information Technology (IT) and Telecom
3.6.3: Healthcare and Life Sciences
3.6.4: eCommerce and Retail
3.6.5: Manufacturing
3.6.6: Media and Entertainment
3.6.7: Others

4. Market Trends and Forecast Analysis by Region from 2014 to 2025
4.1: Global Big Data as a Service Market by Region
4.2: North American Big Data as a Service Market
4.2.1: Market by Component 
4.2.2: Market by Deployment Type
4.2.3: Market by End Use Industry 
4.2.4: The US Big Data as a Service Market
4.2.5: The Canadian Big Data as a Service Market
4.2.6: The Mexican Big Data as a Service Market
4.3: European Big Data as a Service Market
4.3.1: Market by Component 
4.3.2: Market by Deployment Type
4.3.3: Market by End Use Industry
4.3.4: German Big Data as a Service Market
4.3.5: United Kingdom Big Data as a Service Market
4.3.6: French Big Data as a Service Market
4.3.7: Italian Big Data as a Service Market
4.4: APAC Big Data as a Service Market
4.4.1: Market by Component 
4.4.2: Market by Deployment Type
4.4.3: Market by End Use Industry
4.4.4: Chinese Big Data as a Service Market
4.4.5: Japanese Big Data as a Service Market
4.4.6: Indian Big Data as a Service Market
4.4.7: South Korean Big Data as a Service Market
4.5: ROW Big Data as a Service Market
4.5.1: Market by Component 
4.5.2: Market by Deployment Type
4.5.3: Market by End Use Industry

5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Geographical Reach
5.3: Porter’s Five Forces Analysis

6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Big Data as a Service Market by Component
6.1.2: Growth Opportunities for the Global Big Data as a Service Market by Deployment Type
6.1.3: Growth Opportunities for the Global Big Data as a Service Market by Organization size
6.1.4: Growth Opportunities for the Global Big Data as a Service Market by End Use Industry
6.1.5: Growth Opportunities for the Global Big Data as a Service Market by Region 
6.2: Emerging Trends in the Global Big Data as a Service Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Big Data as a Service Market
6.3.3: Technology Development
6.3.4: Mergers and Acquisitions in the Global Big Data as a Service Industry

7. Company Profiles of Leading Players
7.1: IBM
7.2: Oracle
7.3: Microsoft
7.4: Google
7.5: AWS
7.6: SAP
7.7: Teradata
7.8: SAS
7.9: Dell Technologies
7.10: HPE
7.11: CenturyLink
7.12: Splunk
7.13: Cloudera
7.14: Salesforce
7.15: Qubole
7.16: GoodData
7.17: Hitachi Vantara
7.18: IRI
7.19: 1010data
 
.

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150 - page report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
 
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
 
Below is a brief summary of the primary interviews that were conducted by job function for this report.
 

 



Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
 
 
 

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