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ビッグデータの世界市場の将来予測

Global Big Data Market Forecast 2019-2027

発行 Inkwood Research 商品コード 701163
出版日 ページ情報 英文 142 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=111.75円で換算しております。
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ビッグデータの世界市場の将来予測 Global Big Data Market Forecast 2019-2027
出版日: 2019年02月05日 ページ情報: 英文 142 Pages
概要

当レポートでは、世界のビッグデータ市場の将来展望について分析し、製品・サービスの特性や市場の基本構造、主な促進・抑制要因、市場全体およびコンポーネント別・展開方式別・データの種類別・産業別・地域別の市場動向見通し (今後9年間分)、主要企業のプロファイルなどを調査しております。

第1章 分析範囲

第2章 分析手法

第3章 エグゼクティブ・サマリー

第4章 市場のダイナミクス

  • ビッグデータの定義
  • 母体市場の分析:交流 (AC) 電動機
  • 市場の定義と範囲
  • 市場促進要因
  • 市場抑制要因
  • 市場機会
  • 市場の課題

第5章 コンポーネント別の市場

  • ソフトウェア
  • サービス

第6章 展開方式別の市場

  • オンデマンド方式
  • オンプレミス方式

第7章 種類別の市場

  • 構造化データ
  • 半構造化データ
  • 非構造化データ

第8章 産業別の市場

  • 銀行・金融サービス・保険 (BFSI)
  • 政府・防衛
  • 医療・ライフサイエンス
  • 製造業
  • 小売業・日用品
  • メディア・エンタテインメント
  • エネルギー・ユーティリティ
  • 運輸
  • IT・通信
  • 教育・研究
  • その他

第9章 主要指標

  • ポーターのファイブフォース分析
  • 主な購入基準
    • コスト
    • サービス水準合意 (SLA)
    • 信頼性
    • セキュリティ
  • 市場機会マトリックス
  • ベンダー環境
  • バリューチェーン分析
    • サプライヤー
    • データ収集・提供
    • 分析・仮想化
    • ソフトウェア開発
    • データウェアハウジング
    • データ利用/エンドユーザー
  • 投資分析
    • 地域別
    • コンポーネント別
    • 産業別

第10章 地域別分析

  • 北米 (米国、カナダ)
    • 地域概況
    • コンポーネント別市場
    • 展開方式別市場
    • 種類別市場
    • 用途別市場
    • 国別市場
  • 欧州 (英国、フランス、ドイツ、スペインなど)
  • アジア太平洋地域 (中国、日本、インド、オーストラリアなど)
  • 他の国々 (RoW:ラテンアメリカ、中東・アフリカ)

第11章 競争環境

  • 市場シェア分析
  • 主要企業の分析
  • 企業戦略
    • 製品発売・イノベーション
    • 事業提携・協力
    • 企業合併・買収 (M&A)
    • その他の戦略
  • 企業プロファイル
    • 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
図表

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 %)
目次
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
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