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Global Big Data as a Service Market (2023-2028) Competitive Analysis, Impact of Economic Slowdown & Impending Recession, Ansoff Analysis.

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  • 195 Pages
  • February 2024
  • Infogence Global Research
  • ID: 5544130
The Global Big Data as a Service Market is estimated to be USD 103.81 Bn in 2023 and is expected to reach USD 407.4 Bn by 2028 growing at a CAGR of 31.45%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Big Data as a Service Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

  • The Global Big Data as a Service Market is segmented based on Solution Type, Organization Size, Deployment Model, Industry, and Geography.
  • By Solution Type, the market is classified into Data Analytics-as-a-Service, Data-as-a-Service, and Hadoop-as-a-Service.
  • By Organization Size, the market is classified into Large Enterprises, and Small & Medium Enterprises.
  • By Deployment Model, the market is classified into Hybrid Cloud, Private Cloud, and Public Cloud.
  • By Industry, the market is classified into Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology & Telecommunication, Manufacturing, Media & Entertainment, and Travel & Hospitality.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Alphabet, Inc., Amazon Web Services, Inc., IBM Corp., Microsoft Corp., Oracle Corp., Salesforce, Inc., SAP SE, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Big Data as a Service Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The publisher analyses the Global Big Data as a Service Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Big Data as a Service Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of economic slowdown & impending recession on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations, and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Growing Demand in Industries to Gain Actionable Insights from Big Data
4.1.2 Growth in Data Due to Digitization and Automation
4.2 Restraints
4.2.1 Complexity in Extracting Valuable Insights Out of Humongous Data Sources
4.3 Opportunities
4.3.1 BDaaS Solutions to Enhance Roi and Decision-Making Capabilities
4.3.2 Rapid Advancement of Cloud AI, ML, IoT, and Advanced Analytics to Boost Opportunities for BDaaS Vendors
4.4 Challenges
4.4.1 Security and Privacy Concerns
4.4.2 Lack of Awareness of BDaaS Solutions and Professional Expertise
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 PESTLE Analysis
5.4 Impact of Economic Slowdown & Impending Recession
5.5 Ansoff Matrix Analysis
6 Global Big Data as a Service Market, By Solution Type
6.1 Introduction
6.2 Data Analytics-as-a-Service
6.3 Data-as-a-Service
6.4 Hadoop-as-a-Service
7 Global Big Data as a Service Market, By Organization Size
7.1 Introduction
7.2 Large Enterprises
7.3 Small & Medium Enterprises
8 Global Big Data as a Service Market, By Deployment Model
8.1 Introduction
8.2 Hybrid Cloud
8.3 Private Cloud
8.4 Public Cloud
9 Global Big Data as a Service Market, By Industry
9.1 Introduction
9.2 Aerospace & Defense
9.3 Automotive & Transportation
9.4 Banking, Financial Services & Insurance
9.5 Building, Construction & Real Estate
9.6 Consumer Goods & Retail
9.7 Education
9.8 Energy & Utilities
9.9 Government & Public Sector
9.10 Healthcare & Life Sciences
9.11 Information Technology & Telecommunication
9.12 Manufacturing
9.13 Media & Entertainment
9.14 Travel & Hospitality
10 Americas’ Big Data as a Service Market
10.1 Introduction
10.2 Argentina
10.3 Brazil
10.4 Canada
10.5 Chile
10.6 Colombia
10.7 Mexico
10.8 Peru
10.9 United States
10.10 Rest of Americas
11 Europe’s Big Data as a Service Market
11.1 Introduction
11.2 Austria
11.3 Belgium
11.4 Denmark
11.5 Finland
11.6 France
11.7 Germany
11.8 Italy
11.9 Netherlands
11.10 Norway
11.11 Poland
11.12 Russia
11.13 Spain
11.14 Sweden
11.15 Switzerland
11.16 United Kingdom
11.17 Rest of Europe
12 Middle East and Africa’s Big Data as a Service Market
12.1 Introduction
12.2 Egypt
12.3 Israel
12.4 Qatar
12.5 Saudi Arabia
12.6 South Africa
12.7 United Arab Emirates
12.8 Rest of MEA
13 APAC’s Big Data as a Service Market
13.1 Introduction
13.2 Australia
13.3 Bangladesh
13.4 China
13.5 India
13.6 Indonesia
13.7 Japan
13.8 Malaysia
13.9 Philippines
13.10 Singapore
13.11 South Korea
13.12 Sri Lanka
13.13 Thailand
13.14 Taiwan
13.15 Rest of Asia-Pacific
14 Competitive Landscape
14.1 Competitive Quadrant
14.2 Market Share Analysis
14.3 Strategic Initiatives
14.3.1 M&A and Investments
14.3.2 Partnerships and Collaborations
14.3.3 Product Developments and Improvements
15 Company Profiles
15.1 1010data
15.2 Accenture PLC
15.3 Alphabet, Inc.
15.4 Amazon Web Services, Inc.
15.5 Cisco Systems, Inc.
15.6 Cloudera, Inc.
15.7 Dell EMC
15.8 GoodData
15.9 Guavus
15.10 Hitachi Vantara Corp.
15.11 IBM Corp.
15.12 IRI
15.13 Lumen Technologies, Inc.
15.14 MapR Technologies, Inc.
15.15 Microsoft Corp.
15.16 Oracle Corp.
15.17 Qubole
15.18 Salesforce, Inc.
15.19 SAP SE
15.20 SAS Institute, Inc.
15.21 Splunk
15.22 SunGard Data Systems, Inc.
15.23 Teradata Corp.
15.24 The Hewlett Packard Enterprise Company
15.25 UST Global, Inc.
16 Appendix
16.1 Questionnaire

Companies Mentioned

  • 1010data
  • Accenture PLC
  • Alphabet, Inc.
  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • Cloudera, Inc.
  • Dell EMC
  • GoodData
  • Guavus
  • Hitachi Vantara Corp.
  • IBM Corp.
  • IRI
  • Lumen Technologies, Inc.
  • MapR Technologies, Inc.
  • Microsoft Corp.
  • Oracle Corp.
  • Qubole
  • Salesforce, Inc.
  • SAP SE
  • SAS Institute, Inc.
  • Splunk
  • SunGard Data Systems, Inc.
  • Teradata Corp.
  • The Hewlett Packard Enterprise Company
  • UST Global, Inc.