Big Data Market Overview:

Big data refers to data sets that are too large or complex for traditional data-processing software applications to handle. The greater the number of fields in a row, the greater the statistical power; the greater the complexity (more attributes or columns), the greater the chance of false discovery. Big data analysis challenges include capturing data, storing it, analyzing it, searching, sharing, transferring, visualizing, querying, updating, and maintaining information privacy. There were originally three key concepts associated with big data: volume, variety, and velocity. Big data analysis presents challenges in sampling, and so previously only observations and sampling could be conducted. Therefore, big data often includes data whose size exceeds the capabilities of traditional software to process within an acceptable time and value. Most commonly, big data is used to refer to the use of predictive analytics, user behavior analytics, or other advanced data analytics methods that extract value from big data and rarely to a particular size of data set. There is no doubt that the amount of data now available today is huge, but that is not the most important characteristic of this new ecosystem.” Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and more.” Many professionals, including scientists, business executives, physicians, advertising agencies, and government agencies, encounter difficulties with large data-sets in areas including Internet searches, fintech, healthcare analytics, geographic information systems, urban informatics, and business informatics. e-Science is hampered by limitations in areas such as meteorology, genomics, connectomics, complex physical simulations, biology, and environmental research.

The communications industry is growing at an exponential rate owing to the technological advancements in recent years and with the advent of 5G wireless network technology, this industry is bound to showcase exceptional growth numbers over the next few years. Key players of the smartphone industry have initiated the manufacturing and distribution of 5G -enabled smartphones in developed nations and these devices shall soon be regularized across the world. Furthermore, technologies like artificial intelligence and machine learning have paved the way for the development of autonomous vehicles and with governments across the world taking initiatives in building an infrastructure compatible with these vehicles, it is predicted to grow at a remarkable rate in the upcoming years. Entertainment and recreational industries like gaming are exponentially proliferating with the introduction of augmented reality (AR) and virtual reality (VR) thus improving the overall gaming experience. The gaming industry is gaining huge popularity across the globe owing to the organization of international tournaments with bigger prize pools thus helping technologies like AR and VR reach every single corner of the world.

The assessment of the Big Data Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The Big Data Market is also analyzed based on the regional segmentation, product or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the Big Data Market:

• IBM

• Google

• Oracle

• Microsoft

• SAP

• SAS

• Cloudera

• Teradata

• Tibco

• AWS

• Alteryx

• Informatica

• Sisense

• Salesforce

• HPE

• Qlik

• Splunk

• Vmware

• Accenture

• Ataccama

(Note: The list of the major players will be updated with the latest market scenario and trends)

Big Data Market Segmentation:

By Component

• Solutions

    o Big Data Analytics

    o Data Discovery

    o Data Visualization

    o Data Management

• Services

    o Professional Services

         o Support and maintenance

         o Consulting

         o Deployment and Integration

    o Managed Services

By Deployment Mode

• Cloud

    o Public Cloud

    o Private Cloud

    o Hybrid Cloud

• On-premises

By Organization Size

• Small and Medium-Sized Enterprises

• Large Enterprises

By Business Function

• Finance

• Marketing and Sales

• Human Resources

• Operations

By Vertical

• Banking, Financial Services, And Insurance

• Government and Defense

• Healthcare and Life Sciences

• Manufacturing

• Retail and Consumer Goods

• Media and Entertainment

• Telecommunications and IT

• Transportation and Logistics

• Other Verticals (Real Estate, Energy And Utilities, Travel And Hospitality, And Education And Research)

By Region

• North America

• Europe

• Asia-Pacific

• Latin America

• Middle East and Africa

Big Data Market Competitive Analysis:

• Tier-1 Players

• Tier-2 Players

• Emerging Players

• New Entrants

Future Market Analytics Focus Points:

• SWOT Analysis

• Key Market Trends

• Key Data -Points Affecting Market Growth

• Revenue and Forecast Analysis

• Growth Opportunities For New Entrants and Emerging Players

• Key Player and Market Growth Matrix 

Objectives of the Study:

• To provide a comprehensive analysis on the Big Data Market By Component, By Organization Size, By Deployment Mode, By Business Function, By Vertical and By Region

• To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)

• To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa

• To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

In case of any requirements or changes to the current table of content please contact us at:
enquiry@futuremarketanalytics.com

Description

1. Market Introduction

    1.1. Objectives of the Study 

    1.2. Market Definition 

    1.3. Market Scope 

         1.3.1 Years Considered for the Study

         1.3.2 Market Covered

    1.4. Currency

    1.5. Limitations 

    1.6. Stakeholders 

2. Research Methodology 

    2.1. Research Data 

         2.1.1. Secondary Data

                2.1.1.1. Key Data from Secondary Sources

         2.1.2. Primary Data

                2.1.2.1. Key Data from Primary Sources

    2.2. Market Size Estimation 

    2.3. Market Breakdown and Data Triangulation 

    2.4. Assumptions for the Study  

3. Executive Summary

    3.1. Market Outlook

    3.2. Segment Outlook

    3.3. Competitive Insights

4. Market Variables, Trends & Scope

    4.1. Market Lineage Outlook

    4.2. Penetration and Growth Prospect Mapping

    4.3. Industry Value Chain Analysis

    4.4. Cost Analysis Breakdown

    4.5. Technology Overview

    4.6. Regulatory Framework on Country Level

         4.6.1. Reimbursement Framework

         4.6.2. Standards and Compliances

5. Market Overview

    5.1. Market Dynamics

         5.1.1. Market Driver Analysis

         5.1.2. Market Restraint Analysis

         5.1.3. Industry Challenges

6. Market Analysis Tools

    6.1. Industry Analysis – Porter’s

         6.1.1. Supplier Power

         6.1.2. Buyer Power

         6.1.3. Substitution Threat

         6.1.4. Threat from new entrants

         6.1.5. Competitive Rivalry

    6.2. Pestel Analysis

         6.2.1. Political Landscape

         6.2.2. Environmental Landscape

         6.2.3. Social landscape

         6.2.4. Technology landscape

         6.2.5. Legal Landscape

7. Big Data Market, By Component Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    7.1. Solutions

         7.1.1. Big Data Analytics

         7.1.2. Data Discovery

         7.1.3. Data Visualization

         7.1.4. Data Management

    7.2. Services

         7.2.1. Professional Services

                7.2.1.1. Support and maintenance

                7.2.1.2. Consulting

                7.2.1.3. Deployment and Integration

         7.2.2. Managed Services

8. Big Data Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    8.1. Cloud

         8.1.1. Public Cloud

         8.1.2. Private Cloud

         8.1.3. Hybrid Cloud

    8.2. On-premises

9. Big Data Market, By Organization Size Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    9.1. Small and Medium-Sized Enterprises

    9.2. Large Enterprises

10. Big Data Market, By Business Function Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    10.1. Finance

    10.2. Marketing and Sales

    10.3. Human Resources

    10.4. Operations

11. Big Data Market, By Vertical Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    11.1. Banking, Financial Services, And Insurance

    11.2. Government and Defense

    11.3. Healthcare and Life Sciences

    11.4. Manufacturing

    11.5. Retail and Consumer Goods

    11.6. Media and Entertainment

    11.7. Telecommunications and IT

    11.8. Transportation and Logistics

    11.9. Other Verticals (Real Estate, Energy And Utilities, Travel And Hospitality, And Education And Research).

12. North America Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    12.1. Introduction

    12.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          12.2.1. U.S.

          12.2.2. Canada

          12.2.3. Mexico

          12.2.4. Rest of North America

    12.3. Market Size (USD Mn) Forecast for North America 2022-2028

13. Latin America Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    13.1. Introduction

    13.2. Regional Market Trends

    13.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          13.3.1. Brazil

          13.3.2. Venezuela

          13.3.3. Argentina

          13.3.4. Rest of Latin America

    13.4 Market Size (USD Mn) Forecast for Latin America 2022-2028

14. Europe Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    14.1. Introduction

    14.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          14.2.1. Germany

          14.2.2. U.K

          14.2.3. France

          14.2.4. Italy

          14.2.5. Switzerland

          14.2.6. Spain

          14.2.7. Russia

          14.2.8. Poland

          14.2.9. Rest of Europe

    14.3. Market Size (USD Mn) Forecast for Europe 2022-2028

15. Asia Pacific Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    15.1. Introduction

    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          15.2.1. Japan

          15.2.2. China

          15.2.3. Singapore

          15.2.4. Korea         

          15.2.5. India

          15.2.6. Australia and New Zealand

          15.2.7. ASEAN

          15.2.8. Rest of Asia Pacific

    15.3. Market Size (USD Mn) Forecast for Asia Pacific 2022-2028

16. Middle East and Africa Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    16.1. Introduction

    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          16.2.1. UAE

          16.2.2. South Africa

          16.2.3. Egypt

          16.2.4. Saudi Arabia

          16.2.5. Rest of MEA

    16.3. Market Size (USD Mn) Forecast for MEA 2022-2028

17. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)

    17.1. IBM

           17.1.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.1.2. Product Portfolio

           17.1.3. SWOT Analysis

           17.1.4. Financial Overview

           17.1.5. Strategic Overview

    17.2. Google

           17.2.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.2.2. Product Portfolio

           17.2.3. SWOT Analysis

           17.2.4. Financial Overview

           17.2.5. Strategic Overview

    17.3. Oracle

           17.3.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.3.2. Product Portfolio

           17.3.3. SWOT Analysis

           17.3.4. Financial Overview

           17.3.5. Strategic Overview

    17.4. Microsoft

           17.4.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.4.2. Product Portfolio

           17.4.3. SWOT Analysis

           17.4.4. Financial Overview

           17.4.5. Strategic Overview

    17.5. SAP

           17.5.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.5.2. Product Portfolio

           17.5.3. SWOT Analysis

           17.5.4. Financial Overview

           17.5.5. Strategic Overview

    17.6. SAS

           17.6.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.6.2. Product Portfolio

           17.6.3. SWOT Analysis

           17.6.4. Financial Overview

           17.6.5. Strategic Overview

    17.7. Cloudera

           17.7.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.7.2. Product Portfolio

           17.7.3. SWOT Analysis

           17.7.4. Financial Overview

           17.7.5. Strategic Overview

    17.8. Teradata

           17.8.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.8.2. Product Portfolio

           17.8.3. SWOT Analysis

           17.8.4. Financial Overview

           17.8.5. Strategic Overview

    17.9. Tibco

           17.9.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.9.2. Product Portfolio

           17.9.3. SWOT Analysis

           17.9.4. Financial Overview

           17.9.5. Strategic Overview

    17.10. AWS

           17.10.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.10.2. Product Portfolio

           17.10.3. SWOT Analysis

           17.10.4. Financial Overview

           17.10.5. Strategic Overview

    17.11. Alteryx

           17.11.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.11.2. Product Portfolio

           17.11.3. SWOT Analysis

           17.11.4. Financial Overview

           17.11.5. Strategic Overview

    17.12. Informatica

           17.12.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.12.2. Product Portfolio

           17.12.3. SWOT Analysis

           17.12.4. Financial Overview

           17.12.5. Strategic Overview

    17.13. Sisense

           17.13.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.13.2. Product Portfolio

           17.13.3. SWOT Analysis

           17.13.4. Financial Overview

           17.13.5. Strategic Overview

    17.14. Salesforce

           17.14.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.14.2. Product Portfolio

           17.14.3. SWOT Analysis

           17.14.4. Financial Overview

           17.14.5. Strategic Overview

    17.15. HPE

           17.15.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.15.2. Product Portfolio

           17.15.3. SWOT Analysis

           17.15.4. Financial Overview

           17.15.5. Strategic Overview

    17.16. Qlik

           17.16.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.16.2. Product Portfolio

           17.16.3. SWOT Analysis

           17.16.4. Financial Overview

           17.16.5. Strategic Overview

    17.17. Splunk

           17.17.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.17.2. Product Portfolio

           17.17.3. SWOT Analysis

           17.17.4. Financial Overview

           17.17.5. Strategic Overview

    17.18. Vmware

           17.18.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.18.2. Product Portfolio

           17.18.3. SWOT Analysis

           17.18.4. Financial Overview

           17.18.5. Strategic Overview

    17.19. Accenture

           17.19.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.19.2. Product Portfolio

           17.19.3. SWOT Analysis

           17.19.4. Financial Overview

           17.19.5. Strategic Overview

    17.20. Ataccama

           17.20.1. Company Overview (HQ, Business Segments, Employee Strength)

           17.20.2. Product Portfolio

           17.20.3. SWOT Analysis

           17.20.4. Financial Overview

           17.20.5. Strategic Overview

(Note: The list of the major players will be updated with the latest market scenario and trends)

18. Impact of COVID-19

    18.1. Positive influence on the industry

    18.2. The financial disruption of the sector

    18.3. Impact of COVID-19 on emerging companies

    18.4. Significant mandates in the industry regulations initiated by administrations 

    18.5. The overall economic slowdown of the developing and developed nations

19. Competitive Intelligence and Competitive Matrix

    19.1. Competitive Intelligence

    19.2. Competitive Matrix

20. Major Deals and Strategic Alliances Analysis

    20.1. Joint ventures

    20.2. Mergers and acquisitions

    20.3. Licensing and partnerships 

    20.4. Technology Collaborations

    20.5. Strategic Divestments

    20.6. Market Entry Strategies        

21. Relevant Case Studies and Latest News Updates

22. Key Market Takeaway Points from the Market Analysts at Future Market Analytics