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Market Research Report

Asia Pacific Big Data Market Forecast 2019-2027

Published by Inkwood Research Product code 701160
Published Content info 88 Pages
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Asia Pacific Big Data Market Forecast 2019-2027
Published: February 5, 2019 Content info: 88 Pages
Description

KEY FINDINGS

Organizations of all disciplines face issues pertaining to managing data in the form of data retention, data integration, data access, etc. Big data market could prove to be an effective solution to these problems. In the Asia-Pacific, the big data market is likely to witness a CAGR of 21.42% over the forecast period of 2019-2027. The APAC region also consists of noteworthy big data vendors due to the large population base and early stages of IT adoption by developing countries.

MARKET INSIGHTS

The growing number of organizations in the Asia-Pacific adopting big data is expected to boost the market growth over the forecast period. Moreover, growing application in the healthcare sector and growing internet penetration too is expected to boost the market demand in countries like China, India, Japan, South Korea, Australia and Rest of Asia-Pacific. By the end of 2027, the highest CAGR is expected from India. India's big data market is primarily driven by a strategic alliance between countries to promote research and development activities of big data analytics in healthcare and cybersecurity. This region has lagged in implementing the new technology in the healthcare industry. However, the IT investments in the healthcare industry are expected to grow phenomenally with the increase in patient demands and increased life expectancy in this region.

COMPETITIVE INSIGHTS

Companies like Data USA, SAP SE, Teradata Corporation, Cloudera, Inc., Guavus, Inc., Palantir Technologies, Inc., Hewlett Packard Enterprise, Oracle Corporation, International Business Machines Corporation (IBM), Dell, Inc., SAS Institute, Amazon Web Services, Inc., Splunk Inc., Microsoft Corporation and Hitachi, Ltd. have a considerable presence in this market.

Table of Contents
Product Code: 22064

Table of Contents

1. RESEARCH SCOPE

  • 1.1. STUDY GOALS
  • 1.2. SCOPE OF THE MARKET STUDY
  • 1.3. WHO WILL FIND THIS REPORT USEFUL?
  • 1.4. STUDY & FORECASTING YEARS

2. RESEARCH METHODOLOGY

  • 2.1. SOURCES OF DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
  • 2.2. TOP-DOWN APPROACH
  • 2.3. BOTTOM-UP APPROACH
  • 2.4. DATA TRIANGULATION

3. EXECUTIVE SUMMARY

  • 3.1. MARKET SUMMARY
  • 3.2. KEY FINDINGS
    • 3.2.1. CONTINUAL RISE OF CLOUD COMPUTING - KEY ENABLER FOR BIG DATA ANALYTICS
    • 3.2.2. SERVICES SEGMENT DOMINATES THE MARKET IN TERMS OF COMPONENTS
    • 3.2.3. ON DEMAND IS THE MOST PREFERRED DEPLOYMENT MODE
    • 3.2.4. UNSTRUCTURED DATA OFFERS LUCRATIVE GROWTH OPPORTUNITIES

4. MARKET DYNAMICS

  • 4.1. TIMELINE OF BIG DATA
  • 4.2. PARENT MARKET ANALYSIS: DIGITAL TRANSFORMATION MARKET
  • 4.3. MARKET SCOPE & DEFINITION
  • 4.4. MARKET DRIVERS
    • 4.4.1. RISING ADOPTION OF DIGITAL TECHNOLOGY
    • 4.4.2. PROLIFERATION IN DATA GENERATION
    • 4.4.3. INCREASING TREND OF SMARTPHONE OWNERSHIP & APPS
    • 4.4.4. GROWING INTERNET PENETRATION
  • 4.5. MARKET RESTRAINTS
    • 4.5.1. PRIVACY & SECURITY ISSUES WITH THE BIG DATA
    • 4.5.2. LACK OF AWARENESS
  • 4.6. MARKET OPPORTUNITIES
    • 4.6.1. WIDENED ADOPTION OF BIG DATA AMONG ORGANIZATIONS
    • 4.6.2. RISING NUMBER OF INTERNET OF THINGS (IOT) DEVICES CONTRIBUTING DATA GROWTH
    • 4.6.3. BIG DATA SOLUTIONS ENHANCING ORGANIZATIONAL RETURN ON INVESTMENT
  • 4.7. MARKET CHALLENGES
    • 4.7.1. STORAGE & RETRIEVAL ISSUES OF HUGE AMOUNT OF DATA
    • 4.7.2. SHORTAGE OF BIG DATA PROFESSIONALS

5. MARKET BY COMPONENTS

  • 5.1. SOFTWARE
  • 5.2. SERVICE

6. MARKET BY DEPLOYMENT

  • 6.1. ON DEMAND
  • 6.2. ON PREMISE

7. MARKET BY TYPE

  • 7.1. STRUCTURED
  • 7.2. SEMI-STRUCTURED
  • 7.3. UNSTRUCTURED

8. MARKET BY INDUSTRY VERTICALS

  • 8.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)
  • 8.2. GOVERNMENT & DEFENSE
  • 8.3. HEALTHCARE & LIFESCIENCES
  • 8.4. MANUFACTURING
  • 8.5. RETAIL & CONSUMER
  • 8.6. MEDIA & ENTERTAINMENT
  • 8.7. ENERGY & UTILITIES
  • 8.8. TRANSPORTATION
  • 8.9. IT & TELECOMMUNICATION
  • 8.10. ACADEMIC & RESEARCH
  • 8.11. OTHER INDUSTRY VERTICALS

9. KEY ANALYTICS

  • 9.1. PORTER'S FIVE FORCE MODEL
    • 9.1.1. THREAT OF NEW ENTRANTS
    • 9.1.2. THREAT OF SUBSTITUTE
    • 9.1.3. BARGAINING POWER OF SUPPLIERS
    • 9.1.4. BARGAINING POWER OF BUYERS
    • 9.1.5. THREAT OF COMPETITIVE RIVALRY
  • 9.2. VALUE CHAIN ANALYSIS
    • 9.2.1. SUPPLIERS
    • 9.2.2. DATA ACQUISITION & PROVISIONING
    • 9.2.3. ANALYTICS & VIRTUALIZATION
    • 9.2.4. SOFTWARE DEVELOPMENT
    • 9.2.5. DATA WAREHOUSING
    • 9.2.6. DATA USAGE & END USERS
  • 9.3. KEY BUYING CRITERIA
    • 9.3.1. COST
    • 9.3.2. SERVICE LEVEL AGREEMENT (SLA)
    • 9.3.3. RELIABILITY
    • 9.3.4. SECURITY
  • 9.4. OPPORTUNITY MATRIX
  • 9.5. VENDOR LANDSCAPE
  • 9.6. INVESTMENT ANALYSIS
    • 9.6.1. BY COMPONENT
    • 9.6.2. BY INDUSTRY VERTICALS

10. GEOGRAPHICAL ANALYSIS - ASIA PACIFIC

  • 10.1. CHINA
  • 10.2. JAPAN
  • 10.3. INDIA
  • 10.4. SOUTH KOREA
  • 10.5. AUSTRALIA
  • 10.6. REST OF ASIA PACIFIC

11. COMPETITIVE LANDSCAPE

  • 11.1. MARKET SHARE ANALYSIS
  • 11.2. KEY COMPANY ANALYSIS
  • 11.3. CORPORATE STRATEGIES
    • 11.3.1. PRODUCT LAUNCH & INNOVATION
    • 11.3.2. PARTNERSHIP & COLLABORATION
    • 11.3.3. MERGER & ACQUISITION
    • 11.3.4. OTHER KEY CORPORATE STRATEGIES
  • 11.4. COMPANY PROFILES
    • 11.4.1. AMAZON WEB SERVICES, INC.
    • 11.4.2. CLOUDERA, INC.
    • 11.4.3. DATA USA
    • 11.4.4. DELL, INC.
    • 11.4.5. GUAVUS, INC.
    • 11.4.6. HEWLETT PACKARD ENTERPRISE
    • 11.4.7. HITACHI, LTD.
    • 11.4.8. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
    • 11.4.9. MICROSOFT CORPORATION
    • 11.4.10. ORACLE CORPORATION
    • 11.4.11. PALANTIR TECHNOLOGIES, INC.
    • 11.4.12. SAP SE
    • 11.4.13. SAS INSTITUTE
    • 11.4.14. SPLUNK INC.
    • 11.4.15. TERADATA CORPORATION

LIST OF TABLES

  • TABLE 1: ASIA PACIFIC BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 2: TIMELINE OF BIG DATA
  • TABLE 3: SMARTPHONE OWNERSHIP IN EMERGING GEOGRAPHIES IN 2016 (IN %)
  • TABLE 4: ASIA PACIFIC BIG DATA MARKET, BY COMPONENTS, 2019-2027 (IN $ BILLION)
  • TABLE 5: ASIA PACIFIC BIG DATA MARKET, BY DEPLOYMENT, 2019-2027 (IN $ BILLION)
  • TABLE 6: ASIA PACIFIC BIG DATA MARKET, BY TYPE, 2019-2027 (IN $ BILLION)
  • TABLE 7: ASIA PACIFIC BIG DATA MARKET, BY INDUSTRY VERTICALS 2019-2027 (IN $ BILLION)
  • TABLE 8: OPPORTUNITY MATRIX
  • TABLE 9: VENDOR LANDSCAPE
  • TABLE 10: ASIA PACIFIC BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 11: LIST OF PRODUCT LAUNCH & INNOVATION
  • TABLE 12: LIST OF PARTNERSHIP & COLLABORATION
  • TABLE 13: LIST OF MERGER & ACQUISITIONS
  • TABLE 14: LIST OF OTHER KEY CORPORATE STRATEGIES

LIST OF FIGURES

  • FIGURE 1: ASIA PACIFIC BIG DATA MARKET, BY INDUSTRY VERTICALS, 2018 & 2027 (IN %)
  • FIGURE 2: WORLDWIDE CLOUD DATA CENTER TRAFFIC GROWTH, 2016-2021 (IN ZETTABYTES/YEAR)
  • FIGURE 3: REGION WISE MOBILE DATA TRAFFIC GENERATION, 2016 (IN %)
  • FIGURE 4: WORLDWIDE MOBILE DATA TRAFFIC FORECASTS, 2016-2021 (EXABYTES PER MONTH)
  • FIGURE 5: MOBILE DATA TRAFFIC IN KEY GEOGRAPHIES, 2017-2021 (EXABYTES PER MONTH)
  • FIGURE 6: SMARTPHONE USERS ACROSS THE WORLD, 2016-2020 (IN BILLION)
  • FIGURE 7: WORLDWIDE INTERNET USERS, 2010-2017 (IN MILLION)
  • FIGURE 8: INTERNET PENETRATION RATE ACROSS GEOGRAPHIES, 2017 (IN %)
  • FIGURE 9: INTERNET OF THINGS (IOT) CONNECTED DEVICES ACROSS THE WORLD, 2014-2020
  • FIGURE 10: ASIA PACIFIC BIG DATA MARKET, BY SOFTWARE, 2019-2027 (IN $ BILLION)
  • FIGURE 11: ASIA PACIFIC BIG DATA MARKET, BY SERVICE, 2019-2027 (IN $ BILLION)
  • FIGURE 12: ASIA PACIFIC BIG DATA MARKET, BY ON DEMAND, 2019-2027 (IN $ BILLION)
  • FIGURE 13: ASIA PACIFIC BIG DATA MARKET, BY ON-PREMISE, 2019-2027 (IN $ BILLION)
  • FIGURE 14: ASIA PACIFIC BIG DATA MARKET, BY STRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 15: ASIA PACIFIC BIG DATA MARKET, BY SEMI-STRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 16: ASIA PACIFIC BIG DATA MARKET, BY UNSTRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 17: ASIA PACIFIC BIG DATA MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ BILLION)
  • FIGURE 18: ASIA PACIFIC BIG DATA MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ BILLION)
  • FIGURE 19: ASIA PACIFIC BIG DATA MARKET, BY HEALTHCARE & LIFESCIENCES, 2019-2027 (IN $ BILLION)
  • FIGURE 20: ASIA PACIFIC BIG DATA MARKET, BY MANUFACTURING, 2019-2027 (IN $ BILLION)
  • FIGURE 21: ASIA PACIFIC BIG DATA MARKET, BY RETAIL & CONSUMER, 2019-2027 (IN $ BILLION)
  • FIGURE 22: ASIA PACIFIC BIG DATA MARKET, BY MEDIA & ENTERTAINMENT, 2019-2027 (IN $ BILLION)
  • FIGURE 23: ASIA PACIFIC BIG DATA MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ BILLION)
  • FIGURE 24: ASIA PACIFIC BIG DATA MARKET, BY TRANSPORTATION, 2019-2027 (IN $ BILLION)
  • FIGURE 25: ASIA PACIFIC BIG DATA MARKET, BY IT & TELECOMMUNICATION, 2019-2027 (IN $ BILLION)
  • FIGURE 26: ASIA PACIFIC BIG DATA MARKET, BY ACADEMIC & RESEARCH, 2019-2027 (IN $ BILLION)
  • FIGURE 27: ASIA PACIFIC BIG DATA MARKET, BY OTHER INDUSTRY VERTICALS, 2019-2027 (IN $ BILLION)
  • FIGURE 28: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 29: VALUE CHAIN ANALYSIS
  • FIGURE 30: BIG DATA - SOFTWARE DEVELOPMENT CYCLE
  • FIGURE 31: KEY BUYING IMPACT ANALYSIS
  • FIGURE 32: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY COMPONENT, IN 2018
  • FIGURE 33: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY INDUSTRY VERTICALS, IN 2018
  • FIGURE 34: ASIA PACIFIC BIG DATA MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 35: CHINA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 36: JAPAN BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 37: INDIA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 38: SOUTH KOREA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 39: AUSTRALIA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 40: REST OF ASIA PACIFIC BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 41: MARKET SHARE ANALYSIS OF KEY PLAYERS IN 2018 (IN %)
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