市場調查報告書

巨量資料的全球市場的未來預測

Global Big Data Market Forecast 2019-2027

出版商 Inkwood Research 商品編碼 701163
出版日期 內容資訊 英文 142 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
巨量資料的全球市場的未來預測 Global Big Data Market Forecast 2019-2027
出版日期: 2019年02月05日內容資訊: 英文 142 Pages
簡介

本報告提供全球巨量資料市場未來展望相關分析,各產品、服務的特性和市場基本結構,主要的促進、阻礙因素,市場整體及各零件、部署方式、資料的各類型、各產業、各地區的市場趨勢預測 (今後9年份),主要企業簡介等調查。

第1章 分析範圍

第2章 分析方法

第3章 摘要整理

第4章 市場動態

  • 巨量資料定義
  • 母體市場分析:交流 (AC) 電動機
  • 市場定義和範圍
  • 推動市場要素
  • 阻礙市場要素
  • 市場機會
  • 市場課題

第5章 各零件的市場

  • 軟體
  • 服務

第6章 各部署方式的市場

  • 隨選方式
  • 內部部署方式

第7章 各種類的市場

  • 結構化資料
  • 半結構化資料
  • 非結構化資料

第8章 各產業市場

  • 銀行、金融服務、保險 (BFSI)
  • 政府、防衛
  • 醫療、生命科學
  • 製造業
  • 零售業、日用品
  • 媒體、娛樂
  • 能源、公共事業
  • 運輸
  • IT、通訊
  • 教育、研究
  • 其他

第9章 主要指標

  • 波特的五力分析
  • 主要的購買標準
    • 成本
    • 服務水準協定 (SLA)
    • 可靠性
    • 安全
  • 市場機會矩陣
  • 供應商環境
  • 價值鏈分析
    • 供應商
    • 資料收集、提供
    • 分析、虛擬化
    • 軟體開發
    • 資料存放系統
    • 資料利用/終端用戶
  • 投資分析
    • 各地區
    • 各零件
    • 各產業

第10章 各地區分析

  • 北美 (美國,加拿大)
    • 地區概況
    • 各零件市場
    • 各部署方式市場
    • 各類型市場
    • 各用途市場
    • 各國市場
  • 歐洲 (英國,法國,德國,西班牙等)
  • 亞太地區 (中國,日本,印度,澳洲等)
  • 其他的國家 (RoW:南美,中東、非洲)

第11章 競爭環境

  • 市場佔有率分析
  • 主要企業分析
  • 企業策略
    • 產品銷售、革新
    • 事業聯盟、合作
    • 企業合併、收購 (M&A)
    • 其他策略
  • 企業簡介
    • AMAZON WEB SERVICES, INC.
    • CLOUDERA, INC
    • DATA USA
    • DELL, INC
    • GUAVUS, INC
    • HEWLETT PACKARD ENTERPRISE
    • 日立製作所
    • INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
    • MICROSOFT CORPORATION
    • ORACLE CORPORATION
    • PALANTIR TECHNOLOGIES, INC
    • SAP SE
    • SAS INSTITUTE
    • SPLUNK INC
    • TERADATA CORPORATION

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
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 %)
Back to Top