Big Data Market

Big Data Market by Component, Deployment Mode, Organization Size, Business Function (Operations, Finance, and Marketing and Sales), Industry Vertical (BFSI, Manufacturing, and Healthcare and Life Sciences), and Region - Global Forecast to 2025

Report Code: TC 1521 Mar, 2020, by marketsandmarkets.com
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[245 Pages Report] The global big data market size to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 10.6% during the forecast period. The major growth factors of the big data market include the increasing awareness of Internet of Things (IoT) devices among organizations, increasing availability of data across the organization to gain deeper insights to remain competitive, and increasing government investments in various regions for enhancing digital technologies.

Big Data Market

Among solutions, the big data analytics segment to grow at the highest CAGR during the forecast period

Big data can enable companies to increase operational efficiencies and reduce costs. Big data solutions and services store and analyze structured and unstructured data from IT operations and turn it into relevant information and insights. Numerous companies are implementing big data solutions and services to evaluate their internal processes and enhance operations. Big data implementation assists companies to strike the right balance between operational cost, speed, flexibility, and quality. The big data analytics segment is expected to hold the largest market size during the forecast period. Big data solutions enable more precise segmentation of potential buyers and facilitate a deeper understanding of those buyers, their needs, and motivations by analyzing the data generated from various sources, such as social media, call logs, and service forms. Big data solutions enable data experts to understand various trends, such as identifying financial growth opportunities, financial benchmarking against industry standards, and identifying financial implications.

Cloud deployment mode to grow at a rapid pace during the forecast period

Most vendors in the big data market offer cloud-based big data solutions to maximize profits and automate the equipment maintenance process, effectively. The adoption of cloud-based big data solutions is expected to grow, owing to benefits, such as easy maintenance of generated data, cost-effectiveness, agility, flexibility, scalability, and effective management of these solutions. Companies prefer to adopt cloud-based big data solutions, as these support their regional, cross-regional or cross-country data recovery strategies. This enables them to ensure resilience in case of disasters.

Big Data Market

North America to hold the highest market share during the forecast period

North America is expected to hold the highest share in the global big data market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. North America is the most significant revenue contributor in the global big data market. The region is witnessing significant developments in the big data market. In North America, the high growth rate can be attributed to increasing adoption of IoT devices by various businesses in the region. Organizations, especially in the US, have started using big data solutions to generate data insights for making strategic business decisions and remaining competitive in the market.

Key market players

Major vendors in the global big data market include Microsoft (US), Teradata (US), IBM (US), Oracle (US), SAS Institute (US), Google (US), Adobe (US), Talend (US), Qlik (US), TIBCO Software (US), Alteryx (US), Sisense (US), Informatica (US), Cloudera (US), Splunk (US), Palantir Technologies (US), 1010data (US), Hitachi Vantara (US), Fusionex (Malaysia), Information Builders (US), AWS (US), SAP (Germany), Salesforce (US), Micro Focus (UK), HPE (US), MicroStrategy (US), ThoughtSpot (US), and Yellowfin (Australia). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global big data market.

AWS (US) offers cloud computing services in the form of web services. The company offers a wide range of products and services to customers present in 190 countries. Amazon’s product portfolio comprises segments, such as compute, storage, database, migration, network and content delivery, developer tools, management tools, media services, Machine Learning (ML), and analytics. Additionally, the solutions segment offers website and web apps, mobile services, back-up, storage and archive, financial services, and digital media. It caters to various industry verticals, such as media and entertainment, automotive, education, BFSI, game tech, government, healthcare and life sciences, manufacturing, retail, telecommunications, oil and gas, and power utilities. In big data market, its offerings include Amazon QuickSight, Amazon S3, Amazon Glacier, AWS Glue, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, and Amazon Elasticsearch Service.

Scope of the Report

Report Metrics

Details

Market size available for years

2018–2025

Base year considered

2019

Forecast period

2020–2025

Forecast units

Billion (USD)

Segments covered

Component, Deployment Mode, Organization Size, Business Function, Industry Vertical, and Region

Geographies covered

North America, Europe, APAC, Latin America, and MEA

Companies covered

Microsoft (US), Teradata (US), IBM (US), Oracle (US), SAS Institute (US), Google (US), Adobe (US), Talend (US), Qlik (US), TIBCO Software (US), Alteryx (US), Sisense (US), Informatica (US), Cloudera (US), Splunk (US), Palantir Technologies (US), 1010data (US), Hitachi Vantara (US), Fusionex (Malaysia), Information Builders (US), AWS (US), SAP (Germany), Salesforce (US), Micro Focus (UK), HPE (US), MicroStrategy (US), ThoughtSpot (US), and Yellowfin (Australia).

This research report categorizes the big data market based on components, deployment modes, organization size, business function, verticals, and regions.

By component, the big data market is divided into the following segments:

  • Solutions
    • Big Data Analytics
    • Data Discovery
    • Data Management
    • Data Visualization
  • Services
    • Managed Services
    • Profession Services
      • Consulting
      • Deployment and Integration
      • Support and Maintenance

By deployment mode, the big data market is divided into the following segments:

  • Cloud
    • Hybrid Cloud
    • Private Cloud
    • Public Cloud
  • On-Premises

By organization size, the big data market is divided into the following segments:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

By business function, the big data market is divided into the following segments:

  • Finance
  • Marketing and Sales
  • Human Resources (HR)
  • Operations

By industry vertical, the big data market is divided into the following segments:

  • Banking, Financial Services and Insurance (BFSI)
  • Government and Defense
  • Healthcare and Life Sciences
  • Manufacturing
  • Retail and Consumer Goods
  • Media and Entertainment
  • Telecommunication and IT
  • Transportation and Logistics
  • Others (Real Estate, Energy and Utilities, Travel and Hospitality, Education and Research)

By region, the big data market is divided into the following segments:

  • North America
    • United States (US)
    • Canada
  • Europe
    • United Kingdom (UK)
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific (APAC)
    • China
    • Japan
    • India
    • Rest of APAC
  • Middle East and Africa (MEA)
    • Kingdom of Saudi Arabia (KSA)
    • United Arab Emirates (UAE)
    • South Africa
    • Rest of MEA*
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America*

Recent developments

  • In January 2020, SAS Institute’s Intelligent Planning Suite solution infused Artificial Intelligence (AI) and cloud agility capabilities for enhancing customer experience. The multi-cloud solution would help retail IT executives to anticipate customer demand and enhance customer experience.
  • In January 2020, Qlik launched data literacy consulting service and signature service. This new launch of consulting and support services will help organizations drive higher data literacy rate and gain customer success.
  • In October 2019, Teradata partnered with Deutsche Telekom, a German telecommunication company, to provide data analytics solutions for the growth of German SMEs. This partnership would provide easy data access to various SMEs. As per the partnership, the customers of Deutsche Telekom would be able to analyze a large amount of data in cloud.
  • In August 2019, IBM announced the expansion of its global cloud footprint with the launch of IBM Cloud Multizone Region (MZR) in Latin America in 2020. This expansion will help clients to quickly deploy mission-critical workloads across hybrid cloud environments.
  • In February 2019, Microsoft acquired BrightBytes, a provider of data management platform. BrightBytes DataSense platform will collect, integrate, and report information across online education applications and services. The platform would be integrated with Microsoft Azure Platform.

Critical questions the report answers

  • What are the current trends driving the big data market?
  • In which vertical are most industrial companies deploying big data solutions?
  • Where will recent developments of market vendors take the industry in the mid- to long-term?
  • Who are the top vendors in the big data market, and what is their competitive analysis?
  • What are the drivers and challenges faced by vendors in the big data market?

Frequently Asked Questions (FAQ):

To speak to our analyst for a discussion on the above findings, click Speak to Analyst



TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 19)
    1.1 OBJECTIVES OF THE STUDY
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
    1.4 YEARS CONSIDERED FOR THE STUDY
    1.5 CURRENCY CONSIDERED
    1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 23)
    2.1 RESEARCH DATA
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
    2.4 MARKET FORECAST
    2.5 ASSUMPTIONS FOR THE STUDY
    2.6 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY (Page No. - 33)

4 PREMIUM INSIGHTS (Page No. - 39)
    4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE MARKET
    4.2 TOP 3 BUSINESS FUNCTIONS
    4.3 BIG DATA MARKET, BY REGION
    4.4 NORTH AMERICA BIG DATA MARKET, BY SOLUTION AND INDUSTRY VERTICAL

5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 41)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Plummeting technology costs and development of open source big data software frameworks
                    5.2.1.2 Data connectivity through hybrid and multi-cloud environments
                    5.2.1.3 Incorporation of digital transformation in top-level strategies
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of skilled workforce and complexity in insights extraction
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Integration of AI, IoT, and blockchain with big data
                    5.2.3.2 Strengthening regulatory landscape for data protection
           5.2.4 CHALLENGES
                    5.2.4.1 Disconnect between consumers and businesses giving rise to privacy and security concerns
    5.3 CASE STUDIES
           5.3.1 CASE STUDY 1: TO GAIN A COMPETITIVE EDGE THROUGH BI SOLUTIONS
           5.3.2 CASE STUDY 2: TO PROVIDE REAL-TIME ANALYTICS SOLUTION FOR MAKING BETTER DECISIONS MORE QUICKLY
           5.3.3 CASE STUDY 3: TO DELIVER TOOLS THAT CREATE A PERSONALIZED CUSTOMER EXPERIENCE AND DRIVE PRODUCTIVITY FOR ENTERPRISE PARTNERS
           5.3.4 CASE STUDY 4: TO ADOPT CUSTOMIZED LEARNING SOLUTIONS THAT CAN RUN ON THE CLOUD ENVIRONMENT
           5.3.5 CASE STUDY 5: TO PROVIDE IOT SOLUTIONS FOR PREDICTING AND PREVENTING MAINTENANCE ISSUE THROUGH CLOUDERA ENTERPRISE SOLUTION
    5.4 REGULATORY IMPLICATIONS
           5.4.1 GENERAL DATA PROTECTION REGULATION
           5.4.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996
           5.4.3 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE
           5.4.4 SARBANES-OXLEY ACT OF 2002
    5.5 BIG DATA: EVOLUTION
    5.6 BIG DATA: ARCHITECTURE
    5.7 BIG DATA: TYPES
    5.8 BIG DATA ANALYTICS: TYPES

6 BIG DATA MARKET, BY COMPONENT (Page No. - 56)
    6.1 INTRODUCTION
           6.1.1 COMPONENT: BIG DATA MARKET DRIVERS
    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
                    6.3.2.1 Consulting
                    6.3.2.2 Support and maintenance
                    6.3.2.3 Deployment and integration

7 BIG DATA MARKET, BY DEPLOYMENT MODE (Page No. - 69)
    7.1 INTRODUCTION
           7.1.1 DEPLOYMENT MODE: BIG DATA MARKET DRIVERS
    7.2 ON-PREMISES
    7.3 CLOUD
           7.3.1 PUBLIC CLOUD
           7.3.2 PRIVATE CLOUD
           7.3.3 HYBRID CLOUD

8 BIG DATA MARKET, BY ORGANIZATION SIZE (Page No. - 76)
    8.1 INTRODUCTION
           8.1.1 ORGANIZATION SIZE: BIG DATA MARKET DRIVERS
    8.2 LARGE ENTERPRISES
    8.3 SMALL AND MEDIUM-SIZED ENTERPRISES

9 BIG DATA MARKET, BY BUSINESS FUNCTION (Page No. - 80)
    9.1 INTRODUCTION
           9.1.1 BUSINESS FUNCTION: BIG DATA MARKET DRIVERS
    9.2 MARKETING AND SALES
    9.3 OPERATIONS
    9.4 FINANCE
    9.5 HUMAN RESOURCES

10 BIG DATA MARKET, BY INDUSTRY VERTICAL (Page No. - 86)
     10.1 INTRODUCTION
             10.1.1 INDUSTRY VERTICAL: BIG DATA MARKET DRIVERS
     10.2 BIG DATA: ENTERPRISE USE CASES
     10.3 BANKING, FINANCIAL SERVICES, AND INSURANCE
     10.4 GOVERNMENT AND DEFENSE
     10.5 HEALTHCARE AND LIFE SCIENCES
     10.6 MANUFACTURING
     10.7 RETAIL AND CONSUMER GOODS
     10.8 MEDIA AND ENTERTAINMENT
     10.9 TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY
     10.10 TRANSPORTATION AND LOGISTICS
     10.11 OTHERS

11 BIG DATA MARKET, BY REGION (Page No. - 103)
     11.1 INTRODUCTION
     11.2 NORTH AMERICA
             11.2.1 NORTH AMERICA: BIG DATA MARKET DRIVERS
             11.2.2 UNITED STATES
             11.2.3 CANADA
     11.3 EUROPE
             11.3.1 EUROPE: BIG DATA MARKET DRIVERS
             11.3.2 UNITED KINGDOM
             11.3.3 GERMANY
             11.3.4 FRANCE
             11.3.5 REST OF EUROPE
     11.4 ASIA PACIFIC
             11.4.1 ASIA PACIFIC: BIG DATA MARKET DRIVERS
             11.4.2 CHINA
             11.4.3 JAPAN
             11.4.4 INDIA
             11.4.5 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST AND AFRICA
             11.5.1 MIDDLE EAST AND AFRICA: BIG DATA MARKET DRIVERS
             11.5.2 KINGDOM OF SAUDI ARABIA
             11.5.3 UNITED ARAB EMIRATES
             11.5.4 SOUTH AFRICA
             11.5.5 REST OF MIDDLE EAST AND AFRICA
     11.6 LATIN AMERICA
             11.6.1 LATIN AMERICA: BIG DATA MARKET DRIVERS
             11.6.2 BRAZIL
             11.6.3 MEXICO
             11.6.4 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE (Page No. - 145)
     12.1 OVERVIEW
     12.2 COMPETITIVE LEADERSHIP MAPPING
             12.2.1 VISIONARY LEADERS
             12.2.2 INNOVATORS
             12.2.3 DYNAMIC DIFFERENTIATORS
             12.2.4 EMERGING COMPANIES

13 COMPANY PROFILES (Page No. - 147)
     13.1 INTRODUCTION
(Business Overview, Platform, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, RightToWin)*
     13.2 MICROSOFT
     13.3 TERADATA
     13.4 IBM
     13.5 ORACLE
     13.6 GOOGLE
     13.7 AWS
     13.8 SAP
     13.9 SALESFORCE
     13.10 SAS INSTITUTE
     13.11 MICROSTRATEGY
     13.12 TALEND
     13.13 MICRO FOCUS
     13.14 HPE
     13.15 ADOBE
     13.16 ALTERYX
     13.17 THOUGHTSPOT
     13.18 QLIK
     13.19 TIBCO SOFTWARE
     13.20 SISENSE
     13.21 INFORMATICA
     13.22 CLOUDERA
     13.23 SPLUNK
     13.24 PALANTIR TECHNOLOGIES
     13.25 1010DATA
     13.26 HITACHI VANTARA
     13.27 FUSIONEX
     13.28 INFORMATION BUILDERS
     13.29 YELLOWFIN

*Details on Business Overview, Platform, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, RightToWin might not be captured in case of unlisted companies.

14 APPENDIX (Page No. - 234)
     14.1 INDUSTRY EXPERTS
     14.2 DISCUSSION GUIDE
     14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     14.4 AVAILABLE CUSTOMIZATIONS
     14.5 RELATED REPORTS
     14.6 AUTHOR DETAILS


LIST OF TABLES (124 Tables)

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2017–2019
TABLE 2 FACTOR ANALYSIS
TABLE 3 GLOBAL MARKET SIZE AND GROWTH RATE, 2018–2025 (USD MILLION, Y-O-Y %)
TABLE 4 BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 5 SOLUTIONS: MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
TABLE 6 SOLUTIONS: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 7 BIG DATA ANALYTICS MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 8 DATA DISCOVERY MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 9 DATA VISUALIZATION MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 10 DATA MANAGEMENT MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 11 BIG DATA MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 12 SERVICES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 13 MANAGED SERVICES MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 14 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
TABLE 15 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 16 CONSULTING MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 17 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 18 DEPLOYMENT AND INTEGRATION MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 19 BIG DATA MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 20 ON-PREMISES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 21 CLOUD: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 22 CLOUD: MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
TABLE 23 PUBLIC CLOUD: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 24 PRIVATE CLOUD: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 25 HYBRID CLOUD: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 26 MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 27 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 28 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 29 BIG DATA MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
TABLE 30 MARKETING AND SALES: TYPES OF DATA
TABLE 31 MARKETING AND SALES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 32 OPERATIONS: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 33 FINANCE: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 34 HUMAN RESOURCES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 35 BIG DATA MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
TABLE 36 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
TABLE 37 BANKING, FINANCIAL SERVICES, AND INSURANCE: BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 38 GOVERNMENT AND DEFENSE: USE CASES
TABLE 39 GOVERNMENT AND DEFENSE: BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 40 HEALTHCARE AND LIFE SCIENCES: USE CASES
TABLE 41 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 42 MANUFACTURING: USE CASES
TABLE 43 MANUFACTURING: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 44 RETAIL AND CONSUMER GOODS: USE CASES
TABLE 45 RETAIL AND CONSUMER GOODS: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 46 MEDIA AND ENTERTAINMENT: USE CASES
TABLE 47 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 48 TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY: USE CASES
TABLE 49 TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY: BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 50 TRANSPORTATION AND LOGISTICS: USE CASES
TABLE 51 TRANSPORTATION AND LOGISTICS: BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 52 OTHER INDUSTRY VERTICALS: USE CASES
TABLE 53 OTHERS: MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 54 BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
TABLE 55 NORTH AMERICA: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 56 NORTH AMERICA: MARKET SIZE, BY SOLUTION, 2018–2025 (USD MILLION)
TABLE 57 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 58 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2018–2025 (USD MILLION)
TABLE 59 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 60 NORTH AMERICA: MARKET SIZE, BY CLOUD TYPE, 2018–2025 (USD MILLION)
TABLE 61 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 62 NORTH AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
TABLE 63 NORTH AMERICA: MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
TABLE 64 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2018–2025 (USD MILLION)
TABLE 65 UNITED STATES: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 66 UNITED STATES: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 67 CANADA: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 68 CANADA: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 69 EUROPE: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 70 EUROPE: MARKET SIZE, BY SOLUTION, 2018–2025 (USD MILLION)
TABLE 71 EUROPE: MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 72 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2018–2025 (USD MILLION)
TABLE 73 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 74 EUROPE: MARKET SIZE, BY CLOUD TYPE, 2018–2025 (USD MILLION)
TABLE 75 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 76 EUROPE: MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
TABLE 77 EUROPE: MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
TABLE 78 EUROPE: MARKET SIZE, BY COUNTRY, 2018–2025 (USD MILLION)
TABLE 79 UNITED KINGDOM: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 80 GERMANY: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 81 FRANCE: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 82 REST OF EUROPE: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 83 ASIA PACIFIC: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 84 ASIA PACIFIC: MARKET SIZE, BY SOLUTION, 2018–2025 (USD MILLION)
TABLE 85 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 86 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2018–2025 (USD MILLION)
TABLE 87 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 88 ASIA PACIFIC: MARKET SIZE, BY CLOUD TYPE, 2018–2025 (USD MILLION)
TABLE 89 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 90 ASIA PACIFIC: MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
TABLE 91 ASIA PACIFIC: MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
TABLE 92 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2018–2025 (USD MILLION)
TABLE 93 CHINA: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 94 JAPAN: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 95 INDIA: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 96 REST OF ASIA PACIFIC: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 97 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 98 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOLUTION, 2018–2025 (USD MILLION)
TABLE 99 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 100 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2018–2025 (USD MILLION)
TABLE 101 MIDDLE EAST AND AFRICA: BIG DATA MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 102 MIDDLE EAST AND AFRICA: MARKET SIZE, BY CLOUD TYPE, 2018–2025 (USD MILLION)
TABLE 103 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 104 MIDDLE EAST AND AFRICA: MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
TABLE 105 MIDDLE EAST AND AFRICA: MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
TABLE 106 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2018–2025 (USD MILLION)
TABLE 107 KINGDOM OF SAUDI ARABIA: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 108 UNITED ARAB EMIRATES: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 109 SOUTH AFRICA: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 110 REST OF MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 111 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 112 LATIN AMERICA: MARKET SIZE, BY SOLUTION, 2018–2025 (USD MILLION)
TABLE 113 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 114 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2018–2025 (USD MILLION)
TABLE 115 LATIN AMERICA: BIG DATA MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 116 LATIN AMERICA: MARKET SIZE, BY CLOUD TYPE, 2018–2025 (USD MILLION)
TABLE 117 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
TABLE 118 LATIN AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
TABLE 119 LATIN AMERICA: MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
TABLE 120 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2018–2025 (USD MILLION)
TABLE 121 BRAZIL: BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 122 MEXICO: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 123 REST OF LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 124 EVALUATION CRITERIA

LIST OF FIGURES (66 Figures)

FIGURE 1 BIG DATA MARKET: RESEARCH DESIGN
FIGURE 2 DATA TRIANGULATION
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE BIG DATA MARKET
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 5 BIG DATA MARKET SIZING METHODOLOGY – APPROACH 3: COMPONENT LEVEL BOTTOM-UP
FIGURE 6 TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 7 BIG DATA MARKET SNAPSHOT, BY COMPONENT
FIGURE 8 MARKET SNAPSHOT, BY SOLUTION
FIGURE 9 MARKET SNAPSHOT, BY SERVICE
FIGURE 10 MARKET SNAPSHOT, BY PROFESSIONAL SERVICE
FIGURE 11 MARKET SNAPSHOT, BY DEPLOYMENT MODE
FIGURE 12 MARKET SNAPSHOT, BY CLOUD DEPLOYMENT MODE
FIGURE 13 MARKET SNAPSHOT, BY ORGANIZATION SIZE
FIGURE 14 MARKET SNAPSHOT, BY BUSINESS FUNCTION
FIGURE 15 MARKET SNAPSHOT, BY INDUSTRY VERTICAL
FIGURE 16 MARKET SNAPSHOT, BY REGION
FIGURE 17 PLUMMETING TECHNOLOGY COSTS AND DATA CONNECTIVITY THROUGH HYBRID AND MULTI-CLOUD ENVIRONMENTS ARE THE KEY FACTORS DRIVING THE OVERALL GROWTH OF THE BIG DATA MARKET
FIGURE 18 OPERATIONS BUSINESS FUNCTION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 19 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2020
FIGURE 20 BIG DATA ANALYTICS SOLUTION AND BFSI INDUSTRY VERTICAL ACCOUNTED FOR THE HIGHEST SHARES IN THE NORTH AMERICA BIG DATA MARKET IN 2020
FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: BIG DATA MARKET
FIGURE 22 FUNCTIONAL ELEMENTS OF A BIG DATA SOLUTION
FIGURE 23 SERVICES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 24 BIG DATA ANALYTICS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 25 MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 26 SUPPORT AND MAINTENANCE SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 27 CLOUD SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 28 HYBRID CLOUD SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 29 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 30 OPERATIONS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 31 MANUFACTURING INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 32 JAPAN TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 33 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 34 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 35 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN NORTH AMERICA
FIGURE 36 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN EUROPE
FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 38 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN ASIA PACIFIC
FIGURE 39 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN MIDDLE EAST AND AFRICA
FIGURE 40 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN LATIN AMERICA
FIGURE 41 BIG DATA MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2020
FIGURE 42 MICROSOFT: COMPANY SNAPSHOT
FIGURE 43 MICROSOFT: SWOT ANALYSIS
FIGURE 44 TERADATA: COMPANY SNAPSHOT
FIGURE 45 TERADATA: SWOT ANALYSIS
FIGURE 46 IBM: COMPANY SNAPSHOT
FIGURE 47 IBM: SWOT ANALYSIS
FIGURE 48 ORACLE: COMPANY SNAPSHOT
FIGURE 49 ORACLE: SWOT ANALYSIS
FIGURE 50 GOOGLE: COMPANY SNAPSHOT
FIGURE 51 GOOGLE: SWOT ANALYSIS
FIGURE 52 AWS: COMPANY SNAPSHOT
FIGURE 53 AWS: SWOT ANALYSIS
FIGURE 54 SAP: COMPANY SNAPSHOT
FIGURE 55 SAP: SWOT ANALYSIS
FIGURE 56 SALESFORCE: COMPANY SNAPSHOT
FIGURE 57 SALESFORCE: SWOT ANALYSIS
FIGURE 58 SAS INSTITUTE: COMPANY SNAPSHOT
FIGURE 59 SAS INSTITUTE: SWOT ANALYSIS
FIGURE 60 MICROSTRATEGY: COMPANY SNAPSHOT
FIGURE 61 MICROSTRATEGY: SWOT ANALYSIS
FIGURE 62 TALEND: COMPANY SNAPSHOT
FIGURE 63 MICRO FOCUS: COMPANY SNAPSHOT
FIGURE 64 HPE: COMPANY SNAPSHOT
FIGURE 65 ADOBE: COMPANY SNAPSHOT
FIGURE 66 ALTERYX: COMPANY SNAPSHOT

The study involved four major activities in estimating the current market size of the big data market. An extensive secondary research was done to collect information on the market, peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the big data market.

Secondary Research

In the secondary research process, various secondary sources, such as The Institute of Electrical and Electronics Engineers (IEEE) Big Data Journals, Data Mining and Knowledge Discovery, and Journal of Cloud Computing, have been referred to, for identifying and collecting information for this study. Secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; Research and Development (R&D) organizations; regulatory bodies; and databases. Journals, repositories, and resources from the International Journal of Data Warehousing and Mining, were referred to understand the integration of big data.

Primary Research

Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information of the market. The primary sources from the supply side included various industry experts, such as Chief X Officers (CXOs), Vice Presidents (VPs), directors, from business development, marketing, product development/innovation teams, and related key executives from big data solution vendors, system integrators, professional service providers, industry associations, and analytics consultants and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

The following is the breakup of primary profiles:

Big Data Market

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the big data market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the big data market. The bottom-up approach was used to arrive at the overall market size of the global big data market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market were identified through extensive secondary research.
  • The market size, in terms of value, was determined through primary and secondary research processes.
  • All percentage, shares split, and breakups were determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, segment, and project the global market size for big data
  • To understand the structure of the big data market by identifying its various subsegments
  • To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
  • To analyze the micromarkets concerning individual growth trends, prospects, and their contribution to the overall market
  • To analyze the market by component, deployment mode, organization size, business function, industry vertical, and region
  • To project the size of the market and its submarkets, in terms of value, for North America, Europe, APAC, MEA, and Latin America
  • To profile key players and comprehensively analyze their core competencies
  • To understand the competitive landscape and identify significant growth strategies adopted by players across key regions
  • To analyze competitive developments, such as expansions and fundings, new product launches, mergers and acquisitions, strategic partnerships, and agreements, in the big data market

Available customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic analysis

  • Further breakup of the North American big data market
  • Further breakup of the European market
  • Further breakup of the APAC market
  • Further breakup of the Latin American market
  • Further breakup of the MEA big data market

Company information

  • Detailed analysis and profiling of additional market players up to 5

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Report Code
TC 1521
Published ON
Mar, 2020
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