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市場調查報告書

超級規模資料中心的全球市場:市場機會及未來預測

World Hyperscale Data Center Market - Opportunities and Forecasts, 2015-2022)

出版商 Allied Market Research 商品編碼 370263
出版日期 內容資訊 英文 150 Pages
商品交期: 最快1-2個工作天內
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超級規模資料中心的全球市場:市場機會及未來預測 World Hyperscale Data Center Market - Opportunities and Forecasts, 2015-2022)
出版日期: 2016年08月01日 內容資訊: 英文 150 Pages
簡介

所謂超級規模資料中心,是可大幅度擴張規模的 (單一的) 電腦架構之一。其內部有多數的節點 (獨立型伺服器),擔負演算、網路、記錄功能,結合這些節點構成1個實體 。超級規模資料中心建造的背景中,有「以最小限度的費用首先整備最低限度的基礎設施,再依次擴大」的構想。全球各地的大IT企業決定引進、有效利用超級規模資料中心。

本報告提供全球超級規模資料中心市場相關分析,產品、技術概要,及市場結構、最新趨勢,市場向心力,相關產業的關聯性,主要的推動及阻礙市場要素,今後的市場機會,市場規模的成果值、預測值 (過去2年、今後7年份),用戶的各類型、各用途、各零件、各地區的詳細趨勢,主要企業簡介等的相關調查。

第1章 簡介

第2章 摘要整理

第3章 市場概要

  • 市場定義和範圍
  • 分析的要點
    • 市場獲得的主要策略
    • 最大的投資資金來源
    • 最大的影響要素
  • 市場歷史沿革
  • 重要的成功要素
  • 價值鏈分析
  • 市場競爭的主要趨勢
  • 超級規模資料中心技術
    • 晶片系統 (SOC)
    • 軟體定義網路 (SDN)
    • 布料技術
    • I/O工作負載
    • 整合管理
    • 虛擬化
  • 市場動態
    • 推動因素
    • 阻礙因素
    • 市場機會

第4章 超級規模資料中心市場分析:用戶的各類型

  • 概要
  • 雲端供應商
    • 市場規模與其預測
  • 主機代管、供應商
  • 企業

第5章 超級規模資料中心市場分析:各用途

  • 概要
  • IT、通訊
  • 銀行、金融服務、保險 (BFSI)
  • 政府機關、公共事業
  • 醫療
  • 能源
  • 製造業
  • 其他 (教育機關,零售業)

第6章 超級規模資料中心市場分析:各零件

  • 概要
  • 伺服器
  • 網路
  • 其他

第7章 超級規模資料中心市場分析:各地區

  • 北美
  • 歐洲
  • 亞太地區
  • 其他的國家 (RoW)

第8章 競爭環境

  • 新產品的銷售
  • 產業聯盟、強力
  • 企業收購
  • 專利

第9章 地區分析

第9章 專利分析

  • 美國的專利分析:各企業
  • 歐洲的專利分析:各企業
  • 日本的專利分析:各企業

第11章 企業簡介

  • Intel Corporation
    • 企業概要
    • 最新趨勢
    • 業績
    • 策略發展情形
    • SWOT分析
  • Nlyte Software
  • Sandisk Corporation
  • Avago Technologies
  • Cisco Systems, Inc.
  • Hewlett-Packard
  • Ericsson
  • Cavium, Inc.
  • International Business Machines Corporation
  • Mellanox Technologies, Inc.

第12章 附錄

圖表一覽

目錄
Product Code: IC 161406

Title: World Hyperscale Data Center Market by Type (Cloud Providers, Colocation and Enterprises) and Application (Manufacturing, Government Utilities, BFSI, IT & Telecommunication, Healthcare, Energy) - Global Opportunity Analysis and Industry Forecast, 2014 - 2022.

Cover Image Hyperscale data center is designed to offer a single, largely scalable compute architecture, which is developed from small, individual servers called nodes that offer computing, networking, and storage solutions. These nodes are grouped together and managed as a single entity. The main idea behind developing hyperscale architecture is to start with small infrastructure to keep the initial investments minimal. With increasing demand, new nodes can be added to the cluster to expand the initial infrastructure. Hyperscale data centers are largely adopted by key companies, such as Amazon and Google, thereby emerging as one of the fastest growing technology in the IT infrastructure world. In May 2015, Intel announced the launch of new Intel Xeon Processor, which securely processes and analyzes enormous volumes of data in the system memory.

Efficiency is one of the key factors to be considered in a hyperscale data center, in addition to the design and layout of the facility. Designing is a very important factor as it helps to minimize the inefficiency at the rack, node, and facility level. Hyperscale data centers usually have compute nodes ranging from thousands to tens of thousands. In such a hyperscale data center, a small error in design can significantly increase the cost of computation. The other elements of the data center, such as power, HVAC, networking, and layout of racks, also affect its computation cost.

Hyperscale data centers are implemented across various industries, namely, IT & telecom, banking, financial services and insurance (BFSI), government utilities, healthcare, energy, manufacturing, and others. IT strongly supports the growth of the banking sector, thereby enhancing the economic growth. Hyperscale data centers improve the competitive efficiency of the banking sector. The increasing adoption of hyperscale data center in BFSI application is expected to generate maximum revenue by 2022. In addition, in the manufacturing industry, huge amount of data is generated on the operation and shop floor, which can be analyzed to enhance the production practices. Thus, the manufacturing sector is expected to be the fastest growing application sector, with a rapid CAGR of 23.7% over the analysis period.

Cloud service providers, collocation providers, and various enterprises are different types of end users of the hyperscale data center technology. Hyperscale data centers offer enterprises with higher data storage capacity, advanced servers, and faster computing capability as a result of which the enterprise segment is expected to be the fastest growing market, with a CAGR of 27.7% during the forecast period. Geographically, the market is segmented across North America, Europe, Asia-Pacific, and LAMEA.

Key players operating in the world hyperscale data center market include Intel Corporation, Nlyte Software, Sandisk Corporation, Avago Technologies, Cisco Systems Inc., Hewlett-Packard, Ericsson, Cavium Inc., IBM, and Mellanox Technologies, Inc.

Key Benefits

  • This study comprises analytical depiction of the world hyperscale data center market with the current trends and future estimation scenarios to depict the investment pockets.
  • The report highlights information regarding key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current market trends are quantitatively analyzed and estimated for the 2015-2022 period, which highlight the financial competency of the market.
  • Porter's Five Forces model analysis of the industry illustrates the potency of the buyers and suppliers.
  • Value chain analysis provides a clear understanding of the roles of stakeholders involved.

Market Segmentation

By User Type

  • Cloud Providers
  • Collocation Providers
  • Enterprise

By Application

  • IT & Telecom
  • BFSI
  • Government Utilities
  • Healthcare
  • Energy
  • Manufacturing
  • Others (Education and Retail)

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • LAMEA

KEY PLAYERS

  • Intel Corporation
  • Nlyte Software
  • Sandisk Corporation
  • Avago Technologies
  • Cisco Systems Inc.
  • Hewlett-Packard
  • Ericsson
  • Cavium Inc.
  • IBM
  • Mellanox Technologies, Inc.

Table of Contents

CHAPTER 1: INTRODUCTION

  • 1.1. Report description
  • 1.2. Key benefits
  • 1.3. Key market segments
  • 1.4. Research methodology
    • 1.4.1. Secondary research
    • 1.4.2. Primary research
    • 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO perspective

CHAPTER 3: MARKET OVERVIEW

  • 3.1. Market definition and scope
  • 3.2. Key findings
    • 3.2.1. Top Winning strategies
    • 3.2.2. Top Investment Pockets
    • 3.2.3. Top Impacting Factors
  • 3.3. Evolution
  • 3.4. Critical success factors
  • 3.5. Value chain analysis
  • 3.6. Major competition trends
  • 3.7. Hyperscale data center technologies
    • 3.7.1. System on chip (SOC)
    • 3.7.2. Software defined networking (SDN)
    • 3.7.3. Fabric technology
    • 3.7.4. I/O workload
    • 3.7.5. Integrated management
    • 3.7.6. Virtualization
  • 3.8. Drivers
    • 3.8.1. Application of hyperscale data center across various industry domains
    • 3.8.2. Open compute project (OCP)
    • 3.8.3. Energy efficiency
    • 3.8.4. Reduced total cost of ownership (TCO)
  • 3.9. Restraints
    • 3.9.1. Power failure
    • 3.9.2. Generation of enormous heat
    • 3.9.3. Storage limitation
  • 3.10. Opportunity
    • 3.10.1. Cloud computing, social media, big data, online gaming, and others

CHAPTER 4: HYPERSCALE DATA CENTER MARKET ANALYSIS, BY USER TYPE

  • 4.1. Overview
    • 4.1.1. Market size and forecast
  • 4.2. Cloud providers
    • 4.2.1. Market size and forecast
  • 4.3. Colocation Providers
    • 4.3.1. Market size and forecast
  • 4.4. Enterprise
    • 4.4.1. Market size and forecast

CHAPTER 5: HYPERSCALE DATA CENTER MARKET ANALYSIS, BY APPLICATION

  • 5.1. Overview
    • 5.1.1. Market size and forecast
  • 5.2. IT & Telecom
    • 5.2.1. Market size and forecast
  • 5.3. BFSI
    • 5.3.1. Market size and forecast
  • 5.4. Government utilities
    • 5.4.1. Market size and forecast
  • 5.5. Healthcare
    • 5.5.1. Market size and forecast
  • 5.6. Energy
    • 5.6.1. Market size and forecast
  • 5.7. Manufacturing
    • 5.7.1. Market size and forecast
  • 5.8. Others (education and retail)
    • 5.8.1. Market size and forecast

CHAPTER 6: HYPERSCALE DATA CENTER MARKET ANALYSIS, BY COMPONENT

  • 6.1. Overview
    • 6.1.1. Market size and forecast
  • 6.2. Server
    • 6.2.1. Market size and forecast
  • 6.3. Networking
    • 6.3.1. Market size and forecast
  • 6.4. Others
    • 6.4.1. Market size and forecast

CHAPTER 7: HYPERSCALE DATA CENTER MARKET ANALYSIS, BY GEOGRAPHY

  • 7.1. North America
    • 7.1.1. Market size and forecast
  • 7.2. Europe
    • 7.2.1. Market size and forecast
  • 7.3. Asia-Pacific
    • 7.3.1. Market size and forecast
  • 7.4. RoW
    • 7.4.1. Market size and forecast

CHAPTER 8: COMPETITIVE LANDSCAPE

  • 8.1. Product launch
  • 8.2. Partnership and collaborations
  • 8.3. Acquisition
  • 8.4. Patent

CHAPTER 9: GEOGRAPHICAL ANALYSIS

CHAPTER 10: PATENT ANALYSIS

  • 10.1. The U.S. patent analysis by market participants
  • 10.2. Europe patent analysis by market participants
  • 10.3. Japan patent analysis by market participants

CHAPTER 11: COMPANY PROFILES

  • 11.1. Intel Corporation
    • 11.1.1. Company overview
    • 11.1.2. Company snapshot
    • 11.1.3. Business performance
    • 11.1.4. Strategic moves and developments
    • 11.1.5. SWOT analysis of Intel Corporation
  • 11.2. Nlyte Software
    • 11.2.1. Company overview
    • 11.2.2. Company snapshot
    • 11.2.3. Strategic moves and developments
    • 11.2.4. SWOT analysis of Nlyte Software
  • 11.3. Sandisk Corporation
    • 11.3.1. Company overview
    • 11.3.2. Business performance
    • 11.3.3. Strategic moves and developments
    • 11.3.4. SWOT analysis of Sandisk Corporation
  • 11.4. Avago Technologies
    • 11.4.1. Company overview
    • 11.4.2. Business performance
    • 11.4.3. Strategic moves and developments
    • 11.4.4. SWOT analysis of Avago Technologies
  • 11.5. Cisco Systems, Inc.
    • 11.5.1. Company overview
    • 11.5.2. Company snapshot
    • 11.5.3. Business performance
    • 11.5.4. Strategic moves and developments
    • 11.5.5. SWOT analysis of Cisco Systems
  • 11.6. Hewlett-Packard
    • 11.6.1. Company overview
    • 11.6.2. Business performance
    • 11.6.3. Strategic moves and developments
    • 11.6.4. SWOT analysis of Hewlett-Packard
  • 11.7. Ericsson
    • 11.7.1. Company overview
    • 11.7.2. Business performance
    • 11.7.3. Strategic moves and developments
    • 11.7.4. SWOT analysis of Ericsson
  • 11.8. Cavium, Inc.
    • 11.8.1. Company overview
    • 11.8.2. Business performance
    • 11.8.3. Strategic moves and developments
    • 11.8.4. SWOT analysis of Cavium, Inc.
  • 11.9. International Business Machines Corporation
    • 11.9.1. Company overview
    • 11.9.2. Business performance
    • 11.9.3. Strategic moves and developments
    • 11.9.4. SWOT analysis of International Business Machines Corp.
  • 11.10. Mellanox Technologies, Inc.
    • 11.10.1. Company overview
    • 11.10.2. Strategic moves and developments
    • 11.10.3. SWOT analysis of Mellanox Technologies, Ltd.

CHAPTER 12: APPENDIX

List of Tables

  • TABLE 1: HYPERSCALE DATA CENTER MARKET, BY GEOGRAPHY, 2015-2022 ($MILLION)
  • TABLE 2: COMPETITIVE STRATEGIES ADOPTED BY MAJOR KEY PLAYERS
  • TABLE 3: HYPERSCALE DATA CENTER MARKET REVENUE AND SHARE, BY APPLICATION, 2015 ($MILLION)
  • TABLE 4: HYPERSCALE DATA CENTER MARKET, BY USER TYPE, THROUGH 2022($MILLION)
  • TABLE 5: HYPERSCALE DATA CENTER, CLOUD PROVIDERS MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 6: HYPERSCALE DATA CENTER, COLOCATION PROVIDERS MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 7: HYPERSCALE DATA CENTER, ENTERPRISE MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 8: HYPERSCALE DATA CENTER MARKET, BY APPLICATION, THROUGH 2022 ($MILLION)
  • TABLE 9: HYPERSCALE DATA CENTER, IT & TELECOM MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 10: HYPERSCALE DATA CENTER, BFSI MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 11: HYPERSCALE DATA CENTER, GOVERNMENT UTILITIES MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 12: HYPERSCALE DATA CENTER, HEALTHCARE MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 13: HYPERSCALE DATA CENTER, ENERGY MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 14: HYPERSCALE DATA CENTER, MANUFACTURING MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 15: HYPERSCALE DATA CENTER, OTHERS (EDUCATION & RETAIL) MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 16: HYPERSCALE DATA CENTER MARKET, BY COMPONENT, THROUGH 2022 ($MILLION)
  • TABLE 17: HYPERSCALE DATA CENTER, SERVER MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 18: HYPERSCALE DATA CENTER, NETWORKING MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 19: HYPERSCALE DATA CENTER, OTHERS MARKET, BY GEOGRAPHY, THROUGH 2022 ($MILLION)
  • TABLE 20: NORTH AMERICA HYPERSCALE DATA CENTER MARKET, BY APPLICATION, THROUGH 2022 ($MILLION)
  • TABLE 21: EUROPE HYPERSCALE DATA CENTER MARKET, BY APPLICATION, THROUGH 2022 ($MILLION)
  • TABLE 22: ASIA-PACIFIC HYPERSCALE DATA CENTER MARKET, BY APPLICATION, THROUGH 2022 ($MILLION)
  • TABLE 23: ROW HYPERSCALE DATA CENTER MARKET, BY APPLICATION, THROUGH 2020 ($MILLION)
  • TABLE 24: LIST OF KEY PRODUCT LAUNCHES ANNOUNCED, JAN 2013MAY 2015
  • TABLE 25: LIST OF KEY PARTNERSHIP AND COLLABORATIONS ANNOUNCED, JAN 2013MAY 2015
  • TABLE 26: LIST OF KEY ACQUISITIONS ANNOUNCED, JAN 2013MAY 2015
  • TABLE 27: LIST OF KEY PATENTS ANNOUNCED, JAN 2013MAY 2015
  • TABLE 28: HYPERSCALE DATA CENTER MARKET, BY GEOGRAPHY, THROUGH 2020 ($MILLION)
  • TABLE 29: PATENTS REGISTERED/APPROVED IN THE U.S., EUROPE, AND JAPAN, 20112015
  • TABLE 30: THE U.S. PATENT ANALYSIS, BY MARKET PARTICIPANTS, 20112015
  • TABLE 31: EUROPE PATENT ANALYSIS, BY MARKET PARTICIPANTS, 20112015
  • TABLE 32: JAPAN PATENT ANALYSIS, BY MARKET PARTICIPANTS, 20112015
  • TABLE 33: INTEL CORPRATION: SNAPSHOT
  • TABLE 34: NLYTE SOFTWARE: SNAPSHOT
  • TABLE 35: SANDISK CORPORATION: SNAPSHOT
  • TABLE 36: AVAGO TECHNOLOGIES: SNAPSHOT
  • TABLE 37: CISCO SYSTEMS: SNAPSHOT
  • TABLE 38: HEWLETT-PACKARD: SNAPSHOT
  • TABLE 39: ERICSSON: SNAPSHOT
  • TABLE 40: CAVIUM: SNAPSHOT
  • TABLE 41: IBM: SNAPSHOT
  • TABLE 42: MELLANOX TECHNOLOGIES, INC.: SNAPSHOT
  • TABLE 43: LIST OF PATENTS: NORTH AMERICA
  • TABLE 44: LIST OF PATENTS: EUROPE
  • TABLE 45: LIST OF PATENTS: JAPAN

List of Figures

  • FIG. 1: TOP INVESTMENT POCKETS
  • FIG. 2: INDUSTRY WISE APPLICATION OF HYPERSCALE DATA CENTERS, 2015
  • FIG. 3: VARIOUS APPLICATIONS DRIVING THE HYPERSCALE DATA CENTER MARKET
  • FIG. 4: RAPID GROWTH IN THE NUMBER OF SOCIAL MEDIA USERS, 20112017 (BILLION)
  • FIG. 5: TOP IMPACTING FACTORS
  • FIG. 6: VALUE CHAIN ANALYSIS OF HYPERSCALE DATA CENTER MARKET
  • FIG. 7: CHANGE IN TRADITIONAL DISTRIBUTION CHANNEL
  • FIG. 8: COOLING SYSTEM ADOPTED IN HYPERSCALE DATA CENTER
  • FIG. 9: MAJOR CLOUD PROVIDERS IMPLEMENTING HYPERSCALE DATA CENTER TECHNOLOGY
  • FIG. 10: HYPERSCALE DATA CENTER MARKET, BY USER TYPE, 2015 ($MILLION)
  • FIG. 11: HYPERSCALE DATA CENTER, CLOUD PROVIDERS MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 12: BENEFITS ASSOCIATED WITH COLOCATION SERVICE
  • FIG. 13: HYPERSCALE DATA CENTER, COLOCATION PROVIDERS MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 14: OPERATING COST AT A TYPICAL HYPERSCALE DATA CENTER FACILITY
  • FIG. 15: HYPERSCALE DATA CENTER, ENTERPRISE MARKET, BY GEOGRAPHY, 2015($MILLION)
  • FIG. 16: HYPERSCALE DATA CENTER MARKET, BY APPLICATION, 2015 ($MILLION)
  • FIG. 17: GLOBAL TELECOM SERVICE PROVIDERS REVENUE, 20142017 ($TRILLION)
  • FIG. 18: HYPERSCALE DATA CENTER, IT & TELECOM MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 19: HYPERSCALE DATA CENTER, BFSI MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 20: HYPERSCALE DATA CENTER, GOVERNMENT UTILITIES MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 21: HYPERSCALE DATA CENTER, HEALTHCARE MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 22: HYPERSCALE DATA CENTER, ENERGY MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 23: HYPERSCALE DATA CENTER, MANUFACTURING MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 24: HYPERSCALE DATA CENTER, OTHERS MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 25: HYPERSCALE DATA CENTER MARKET, BY COMPONENT, 2015 ($MILLION)
  • FIG. 26: HYPERSCALE DATA CENTER, SERVER MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 27: HYPERSCALE DATA CENTER, NETWORKING MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 28: HYPERSCALE DATA CENTER, OTHERS MARKET, BY GEOGRAPHY, 2015 ($MILLION)
  • FIG. 29: NORTH AMERICA HYPERSCALE DATA CENTER MARKET, BY APPLICATION, 2015($MILLION)
  • FIG. 30: EUROPE HYPERSCALE DATA CENTER MARKET, BY APPLICATION, 2015 ($MILLION)
  • FIG. 31: ASIA-PACIFIC HYPERSCALE DATA CENTER MARKET, BY APPLICATION, 2015 ($MILLION)
  • FIG. 32: ROW HYPERSCALE DATA CENTER MARKET, BY APPLICATION, 2015 ($MILLION)
  • FIG. 33: KEY COMPETITIVE STRATEGY, JAN 2013MAY 2015
  • FIG. 34: GLOBAL HYPERSCALE DATA CENTER MARKET, BY GEOGRAPHY, 2015
  • FIG. 35: HYPERSCALE DATA CENTER MARKET, BY REGION, 2015 AND 2022 ($MILLION)
  • FIG. 36: PATENTS REGISTERED/APPROVED IN THE U.S., EUROPE, AND JAPAN, 20112015
  • FIG. 37: U.S. PATENT ANALYSIS, BY MARKET PARTICIPANTS, 20112015
  • FIG. 38: EUROPE PATENT ANALYSIS, BY MARKET PARTICIPANTS, 20112015
  • FIG. 39: JAPAN PATENT ANALYSIS, BY MARKET PARTICIPANTS, 20112015
  • FIG. 40: INTEL CORPORATION: REVENUE, 20132015, $MILLION
  • FIG. 41: INTEL CORPORATION: REVENUE, BY BUSINESS SEGMENT (%), 2015
  • FIG. 42: INTEL CORPORATION: SWOT ANALYSIS
  • FIG. 43: NLYTE SOFTWARE: SWOT ANALYSIS
  • FIG. 44: SAN DISK CORPORATION: REVENUE, 20122014, $MILLION
  • FIG. 45: SAN DISK: REVENUE, BY GEOGRAPHY (%), 2014
  • FIG. 46: SANDISK CORPORATION: SWOT ANALYSIS
  • FIG. 47: AVAGO TECHNOLOGIES: REVENUE, 20132015, $MILLION
  • FIG. 48: AVAGO TECHNOLOGIES: REVENUE, BY BUSINESS SEGMENT (%), 2015
  • FIG. 49: AVAGO TECHNOLOGIES: SWOT ANALYSIS
  • FIG. 50: CISCO SYSTEMS: REVENUE, 20132015, $MILLION
  • FIG. 51: CISCO SYSTEMS: REVENUE, BY BUSINESS SEGMENT (%), 2015
  • FIG. 52: CISCO SYSTEMS: REVENUE, BY GEOGRAPHY SEGMENT (%), 2015
  • FIG. 53: CISCO SYSTEMS: SWOT ANALYSIS
  • FIG. 54: HEWLETT-PACKARD: REVENUE, 20122015, $MILLION
  • FIG. 55: HEWLETT-PACKARD: REVENUE, BY BUSINESS SEGMENT (%) 2015
  • FIG. 56: HP: SWOT ANALYSIS
  • FIG. 57: ERICSSON: NET SALES, 20122015, $MILLION
  • FIG. 58: ERICSSON: NET SALES, BY BUSINESS SEGMENT (%), 2015
  • FIG. 59: ERICCSON: SWOT ANALYSIS
  • FIG. 60: CAVIUM, INC.: REVENUE, 20122015, $MILLION
  • FIG. 61: CAVIUM, INC.: REVENUE, BY GEOGRAPHY (%), 2015
  • FIG. 62: CAVIUM, INC.: REVENUE (%), 2015
  • FIG. 63: CAVIUM INC.: SWOT ANALYSIS
  • FIG. 64: INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 20122015, $MILLION
  • FIG. 65: INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, BY GEOGRAPHY (%), 2015
  • FIG. 66: INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, BY BUSINESS SEGMENT (%), 2015
  • FIG. 67: IBM: SWOT ANALYSIS
  • FIG. 68: MELLANOX TECHNOLOGIES, LTD.: REVENUE, 20122015, $MILLION
  • FIG. 69: MELLANOX TECHNOLOGIES, LTD.: REVENUE, BY GEOGRAPHY (%) 2015
  • FIG. 70: MELLANOX TECHNOLOGIES, LTD.: REVENUE, BY PRODUCT (%) 2015
  • FIG. 71: MELLANOX TECHNOLOGIES, LTD.: REVENUE, BY INTERCONNECT PROTOCOL (%) 2015
  • FIG. 72: MELLANOX TECHNOLOGIES LTD.: SWOT ANALYSIS
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