市场调查报告书

巨量资料的全球市场的未来预测

Global Big Data Market Forecast 2019-2027

出版商 Inkwood Research 商品编码 701163
出版日期 内容资讯 英文 142 Pages
商品交期: 最快1-2个工作天内
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巨量资料的全球市场的未来预测 Global Big Data Market Forecast 2019-2027
出版日期: 2019年02月05日内容资讯: 英文 142 Pages
简介

本报告提供全球巨量资料市场未来展望相关分析,各产品、服务的特性和市场基本结构,主要的促进、阻碍因素,市场整体及各零件、部署方式、资料的各类型、各产业、各地区的市场趋势预测 (今后9年份),主要企业简介等调查。

第1章 分析范围

第2章 分析方法

第3章 摘要整理

第4章 市场动态

  • 巨量资料定义
  • 母体市场分析:交流 (AC) 电动机
  • 市场定义和范围
  • 推动市场要素
  • 阻碍市场要素
  • 市场机会
  • 市场课题

第5章 各零件的市场

  • 软体
  • 服务

第6章 各部署方式的市场

  • 随选方式
  • 内部部署方式

第7章 各种类的市场

  • 结构化资料
  • 半结构化资料
  • 非结构化资料

第8章 各产业市场

  • 银行、金融服务、保险 (BFSI)
  • 政府、防卫
  • 医疗、生命科学
  • 制造业
  • 零售业、日用品
  • 媒体、娱乐
  • 能源、公共事业
  • 运输
  • IT、通讯
  • 教育、研究
  • 其他

第9章 主要指标

  • 波特的五力分析
  • 主要的购买标准
    • 成本
    • 服务水准协定 (SLA)
    • 可靠性
    • 安全
  • 市场机会矩阵
  • 供应商环境
  • 价值链分析
    • 供应商
    • 资料收集、提供
    • 分析、虚拟化
    • 软体开发
    • 资料存放系统
    • 资料利用/终端用户
  • 投资分析
    • 各地区
    • 各零件
    • 各产业

第10章 各地区分析

  • 北美 (美国,加拿大)
    • 地区概况
    • 各零件市场
    • 各部署方式市场
    • 各类型市场
    • 各用途市场
    • 各国市场
  • 欧洲 (英国,法国,德国,西班牙等)
  • 亚太地区 (中国,日本,印度,澳洲等)
  • 其他的国家 (RoW:南美,中东、非洲)

第11章 竞争环境

  • 市场占有率分析
  • 主要企业分析
  • 企业策略
    • 产品销售、革新
    • 事业联盟、合作
    • 企业合并、收购 (M&A)
    • 其他策略
  • 企业简介
    • AMAZON WEB SERVICES, INC.
    • CLOUDERA, INC
    • DATA USA
    • DELL, INC
    • GUAVUS, INC
    • HEWLETT PACKARD ENTERPRISE
    • 日立制作所
    • INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
    • MICROSOFT CORPORATION
    • ORACLE CORPORATION
    • PALANTIR TECHNOLOGIES, INC
    • SAP SE
    • SAS INSTITUTE
    • SPLUNK INC
    • TERADATA CORPORATION

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目录
Product Code: 22071

KEY FINDINGS

Big data makes use of parallel computing tools for handling data. Over the forecast years of 2018-2026, the global big data market is likely to prosper with a CAGR of 18.68%. The global big data market is primarily driven by the increased number of mobile devices and apps, switch from analog to digital technologies and massive growth of data with increasing penetration of the Internet.

MARKT INSIGHTS

The global big data market is segmented on the basis of deployment mode, component, types and verticals. Deployment mode includes on-demand and on-premise deployment mode. The components of big data are software and services while the market type includes structured data, unstructured data and semi-structured data. The global big data market caters to verticals such as banking, financial services & insurance (BFSI), government & defense, healthcare & life sciences, manufacturing, retail & consumer goods, media & entertainment, energy & utility, transportation, IT & telecommunication, academic & research institutions and other verticals. The on-demand deployment also offers the flexibility of using resources, reduced cost, better performance, scaling and others which is helping to be the most preferred form of deployment mode. The on-demand segment is primarily driven by benefits offered such as integration with existing cloud sources, automated software updates, disaster recovery and data loss prevention.

REGIONAL INSIGHTS

The regional segmentation of the global big data market is done into Europe, Asia-Pacific, North America and the rest of the world. North America captures the largest share in the global big data market. Major credit for this market's expansion goes to the presence of key tech giants in the region who are involved in the big data market and investing heavily for further technological advancements. However, a significant CAGR rise is expected from the Asia-Pacific region. The Asian market has started adopting business learning and machine learning models which have tremendously contributed to its market growth.

COMPETITIVE INSIGHTS

Companies like Palantir Technologies, Inc., Hewlett Packard Enterprise, Splunk Inc., Data USA, Teradata Corporation, Guavus, Inc., Cloudera, Inc., International Business Machines Corporation (IBM), SAP SE, SAS Institute, Dell, Inc., Amazon Web Services, Inc., Oracle Corporation, Hitachi, Ltd. And Microsoft Corporation are engaged in the big data market.

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

8.1 ACADEMIC & RESEARCH

  • 8.10. 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 REGION
    • 9.6.2. BY COMPONENT
    • 9.6.3. BY INDUSTRY VERTICALS

10. GEOGRAPHICAL ANALYSIS

  • 10.1. NORTH AMERICA
    • 10.1.1. UNITED STATES
    • 10.1.2. CANADA
  • 10.2. EUROPE
    • 10.2.1. UNITED KINGDOM
    • 10.2.2. FRANCE
    • 10.2.3. GERMANY
    • 10.2.4. SPAIN
    • 10.2.5. ITALY
    • 10.2.6. REST OF EUROPE
  • 10.3. ASIA PACIFIC
    • 10.3.1. CHINA
    • 10.3.2. JAPAN
    • 10.3.3. INDIA
    • 10.3.4. SOUTH KOREA
    • 10.3.5. AUSTRALIA
    • 10.3.6. REST OF ASIA PACIFIC
  • 10.4. REST OF WORLD
    • 10.4.1. LATIN AMERICA
    • 10.4.2. MIDDLE EAST & AFRICA

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: GLOBAL BIG DATA MARKET, BY GEOGRAPHY, 2019-2027 (IN $ BILLION)
  • TABLE 2: TIMELINE OF BIG DATA
  • TABLE 3: SMARTPHONE OWNERSHIP IN EMERGING GEOGRAPHIES IN 2016 (IN %)
  • TABLE 4: GLOBAL BIG DATA MARKET, BY COMPONENTS, 2019-2027 (IN $ BILLION)
  • TABLE 5: GLOBAL SOFTWARE MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 6: GLOBAL SERVICE MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 7: GLOBAL BIG DATA MARKET, BY DEPLOYMENT, 2019-2027 (IN $ BILLION)
  • TABLE 8: GLOBAL ON DEMAND MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 9: GLOBAL ON PREMISE MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 10: GLOBAL BIG DATA MARKET, BY TYPE, 2019-2027 (IN $ BILLION)
  • TABLE 11: GLOBAL STRUCTURED MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 12: GLOBAL SEMI-STRUCTURED MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 13: GLOBAL UNSTRUCTURED MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 14: GLOBAL BIG DATA MARKET, BY INDUSTRY VERTICALS 2019-2027 (IN $ BILLION)
  • TABLE 15: GLOBAL BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 16: GLOBAL GOVERNMENT & DEFENSE MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 17: GLOBAL HEALTHCARE & LIFESCIENCES MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 18: GLOBAL MANUFACTURING MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 19: GLOBAL RETAIL & CONSUMER MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 20: GLOBAL MEDIA & ENTERTAINMENT MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 21: GLOBAL ENERGY & UTILITIES MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 22: GLOBAL TRANSPORTATION MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 23: GLOBAL IT & TELECOMMUNICATION MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 24: GLOBAL ACADEMIC & RESEARCH MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 25: GLOBAL OTHER INDUSTRY VERTICALS MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 26: OPPORTUNITY MATRIX
  • TABLE 27: VENDOR LANDSCAPE
  • TABLE 28: GLOBAL BIG DATA MARKET, BY GEOGRAPHY, 2019-2027 (IN $ BILLION)
  • TABLE 29: NORTH AMERICA BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 30: EUROPE BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 31: ASIA PACIFIC BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 32: REST OF WORLD BIG DATA MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 33: LIST OF PRODUCT LAUNCH & INNOVATION
  • TABLE 34: LIST OF PARTNERSHIP & COLLABORATION
  • TABLE 35: LIST OF MERGER & ACQUISITIONS
  • TABLE 36: LIST OF OTHER KEY CORPORATE STRATEGIES

LIST OF FIGURES

  • FIGURE 1: GLOBAL 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: WIRELESS DATA TRAFFIC IN UNITED STATES, 2010-2016 (IN TRILLION MEGABYTES)
  • FIGURE 8: WORLDWIDE INTERNET USERS, 2010-2017 (IN MILLION)
  • FIGURE 9: INTERNET PENETRATION RATE ACROSS GEOGRAPHIES, 2017 (IN %)
  • FIGURE 10: INTERNET OF THINGS (IOT) CONNECTED DEVICES ACROSS THE WORLD, 2014-2020
  • FIGURE 11: GLOBAL BIG DATA MARKET, BY SOFTWARE, 2019-2027 (IN $ BILLION)
  • FIGURE 12: GLOBAL BIG DATA MARKET, BY SERVICE, 2019-2027 (IN $ BILLION)
  • FIGURE 13: GLOBAL BIG DATA MARKET, BY ON DEMAND, 2019-2027 (IN $ BILLION)
  • FIGURE 14: GLOBAL BIG DATA MARKET, BY ON-PREMISE, 2019-2027 (IN $ BILLION)
  • FIGURE 15: GLOBAL BIG DATA MARKET, BY STRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 16: GLOBAL BIG DATA MARKET, BY SEMI-STRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 17: GLOBAL BIG DATA MARKET, BY UNSTRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 18: GLOBAL BIG DATA MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ BILLION)
  • FIGURE 19: GLOBAL BIG DATA MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ BILLION)
  • FIGURE 20: GLOBAL BIG DATA MARKET, BY HEALTHCARE & LIFESCIENCES, 2019-2027 (IN $ BILLION)
  • FIGURE 21: GLOBAL BIG DATA MARKET, BY MANUFACTURING, 2019-2027 (IN $ BILLION)
  • FIGURE 22: GLOBAL BIG DATA MARKET, BY RETAIL & CONSUMER, 2019-2027 (IN $ BILLION)
  • FIGURE 23: GLOBAL BIG DATA MARKET, BY MEDIA & ENTERTAINMENT, 2019-2027 (IN $ BILLION)
  • FIGURE 24: GLOBAL BIG DATA MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ BILLION)
  • FIGURE 25: GLOBAL BIG DATA MARKET, BY TRANSPORTATION, 2019-2027 (IN $ BILLION)
  • FIGURE 26: GLOBAL BIG DATA MARKET, BY IT & TELECOMMUNICATION, 2019-2027 (IN $ BILLION)
  • FIGURE 27: GLOBAL BIG DATA MARKET, BY ACADEMIC & RESEARCH, 2019-2027 (IN $ BILLION)
  • FIGURE 28: GLOBAL BIG DATA MARKET, BY OTHER INDUSTRY VERTICALS, 2019-2027 (IN $ BILLION)
  • FIGURE 29: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 30: VALUE CHAIN ANALYSIS
  • FIGURE 31: BIG DATA - SOFTWARE DEVELOPMENT CYCLE
  • FIGURE 32: KEY BUYING IMPACT ANALYSIS
  • FIGURE 33: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY REGION, IN 2018
  • FIGURE 34: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY COMPONENT, IN 2018
  • FIGURE 35: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY INDUSTRY VERTICALS, IN 2018
  • FIGURE 36: GLOBAL BIG DATA MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 37: UNITED STATES BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 38: CANADA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 39: UNITED KINGDOM BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 40: FRANCE BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 41: GERMANY BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 42: SPAIN BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 43: ITALY BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 44: REST OF EUROPE BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 45: CHINA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 46: JAPAN BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 47: INDIA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 48: SOUTH KOREA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 49: AUSTRALIA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 50: REST OF ASIA PACIFIC BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 51: LATIN AMERICA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 52: MIDDLE EAST & AFRICA BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 53: MARKET SHARE ANALYSIS OF KEY PLAYERS IN 2018 (IN %)
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