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Global Big Data Market (2023-2028) Competitive Analysis, Impact of Covid-19, Ansoff Analysis

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    Report

  • 194 Pages
  • February 2024
  • Region: Global
  • Infogence Global Research
  • ID: 5669260

Machine learning will continue to change the landscape of big data

The Global Big Data Market is estimated to be USD 60.92 Bn in 2023 and is expected to reach USD 112.04 Bn by 2028 growing at a CAGR of 12.96%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Big Data 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 Market is segmented based on Component, Business Function, Deployment Mode, Organization Size, Industry Vertical, and Geography.
  • By Component, the market is classified into Solutions, Services, and Software.
  • By Business Function, the market is classified into Marketing and Sales, Operations, Finance, and Human Resources.
  • By Deployment Mode, the market is classified into On-Premises and Cloud.
  • By Organization Size, the market is classified into Small and Medium-Sized Enterprises and Large Enterprises.
  • By Industry Vertical, the market is classified into Banking, Financial Services, and Insurance, Telecommunications and IT, Retail and Consumer Goods, Healthcare and Life Sciences, Government and Defense, Media and Entertainment, Manufacturing, Transportation and Logistics, and Other Industry Verticals.
  • 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 IBM Corp., Google LLC, Oracle Corp., Microsoft Corp., SAP SE, SAS, Cloudera, Inc., 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 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 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 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 Covid-19 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 Sharp Increase in Data Volume
4.1.2 Rise in Data Connectivity Through Cloud Computing
4.1.3 Incorporation of Digital Transformation in Top-Level Strategies
4.2 Restraints
4.2.1 Data Security Concerns and Stringent Data Security Regulations
4.2.2 High Big Data Handling Costs
4.3 Opportunities
4.3.1 Rise in Adoption of Technologies and Big Data Analytics
4.3.2 The Growth of Investment in It Sectors by the Businesses
4.4 Challenges
4.4.1 Data Silos and Poor Data Quality
4.4.2 Lack of Data Professionals
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
5.5 PESTLE Analysis
6 Global Big Data Market, By Component
6.1 Introduction
6.2 Solutions
6.2.1 Big Data Analytics
6.2.2 Data Discovery
6.2.3 Data Visualization
6.2.4 Data Management
6.3 Services
6.3.1 Managed Services
6.3.2 Professional Services
7 Global Big Data Market, By Business Function
7.1 Introduction
7.2 Marketing and Sales
7.3 Operations
7.4 Finance
7.5 Human Resources
8 Global Big Data Market, By Deployment Mode
8.1 Introduction
8.2 On-Premises
8.3 Cloud
9 Global Big Data Market, By Organization Size
9.1 Introduction
9.2 Small and Medium-Sized Enterprises
9.3 Large Enterprises
10 Global Big Data Market, By Industry Vertical
10.1 Introduction
10.2 Banking, Financial Services, and Insurance
10.3 Telecommunications and IT
10.4 Retail and Consumer Goods
10.5 Healthcare and Life Sciences
10.6 Government and Defense
10.7 Media and Entertainment
10.8 Manufacturing
10.9 Transportation and Logistics
10.10 Other Industry Verticals
11 Americas’ Big Data Market
11.1 Introduction
11.2 Argentina
11.3 Brazil
11.4 Canada
11.5 Chile
11.6 Colombia
11.7 Mexico
11.8 Peru
11.9 United States
11.10 Rest of Americas
12 Europe’s Big Data Market
12.1 Introduction
12.2 Austria
12.3 Belgium
12.4 Denmark
12.5 Finland
12.6 France
12.7 Germany
12.8 Italy
12.9 Netherlands
12.10 Norway
12.11 Poland
12.12 Russia
12.13 Spain
12.14 Sweden
12.15 Switzerland
12.16 United Kingdom
12.17 Rest of Europe
13 Middle East and Africa’s Big Data Market
13.1 Introduction
13.2 Egypt
13.3 Israel
13.4 Qatar
13.5 Saudi Arabia
13.6 South Africa
13.7 United Arab Emirates
13.8 Rest of MEA
14 APAC’s Big Data Market
14.1 Introduction
14.2 Australia
14.3 Bangladesh
14.4 China
14.5 India
14.6 Indonesia
14.7 Japan
14.8 Malaysia
14.9 Philippines
14.10 Singapore
14.11 South Korea
14.12 Sri Lanka
14.13 Thailand
14.14 Taiwan
14.15 Rest of Asia-Pacific
15 Competitive Landscape
15.1 Competitive Quadrant
15.2 Market Share Analysis
15.3 Strategic Initiatives
15.3.1 M&A and Investments
15.3.2 Partnerships and Collaborations
15.3.3 Product Developments and Improvements
16 Company Profiles
16.1 IBM Corp.
16.2 Google LLC
16.3 Oracle Corp.
16.4 Microsoft Corp.
16.5 SAP SE
16.6 SAS
16.7 Cloudera, Inc.
16.8 Teradata Corp.
16.9 TIBCO Software Inc.
16.10 Amazon Web Services, Inc.
16.11 Alteryx
16.12 Informatica
16.13 Sisense
16.14 Salesforce, Inc.
16.15 The Hewlett Packard Enterprise Co.
16.16 Qlik
16.17 Splunk Inc.
16.18 VMware, Inc.
16.19 Accenture plc
16.20 Ataccama
16.21 Cogito
16.22 Centerfield
16.23 RIB datapine GmbH
16.24 Fusionex Group
16.25 BigPanda
16.26 Imply
16.27 Rivery
16.28 YugabyteDB
16.29 Airbyte
16.30 Cardagraph, Inc
16.31 Firebolt
16.32 Syncari
17 Appendix
17.1 Questionnaire

Companies Mentioned

  • IBM Corp.
  • Google LLC
  • Oracle Corp.
  • Microsoft Corp.
  • SAP SE
  • SAS
  • Cloudera, Inc.
  • Teradata Corp.
  • TIBCO Software Inc.
  • Amazon Web Services, Inc.
  • Alteryx
  • Informatica
  • Sisense
  • Salesforce, Inc.
  • The Hewlett Packard Enterprise Company
  • Qlik
  • Splunk Inc.
  • VMware, Inc.
  • Accenture plc
  • Ataccama
  • Cogito
  • Centerfield
  • RIB datapine GmbH
  • Fusionex Group
  • BigPanda
  • Imply
  • Rivery
  • YugabyteDB
  • Airbyte
  • Cardagraph
  • Firebolt
  • Syncari

Table Information