市場調査レポート

ICTインフラプラットフォーム、ソフトウェア、およびサービス:動向分析、市場展望、および予測 2016年以降

ICT Infrastructure, Platforms, Software, and Services: Trend Analysis, Market Outlook, and Forecasts for 2016 and Beyond

発行 Mind Commerce Publishing LLC 商品コード 350827
出版日 ページ情報 英文 132 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=106.02円で換算しております。
Back to Top
ICTインフラプラットフォーム、ソフトウェア、およびサービス:動向分析、市場展望、および予測 2016年以降 ICT Infrastructure, Platforms, Software, and Services: Trend Analysis, Market Outlook, and Forecasts for 2016 and Beyond
出版日: 2016年01月29日 ページ情報: 英文 132 Pages
概要

当レポートでは、ICT (情報通信技術) インフラプラットフォーム、ソフトウェア、およびサービスについて取り上げ、市場の動向分析、展望および定量的予測を提供しており、データ管理、クラウドコンピューティング、およびモノのインターネット (IoT) に重点を置いた主要ICT領域について調査しています。

第1章 エグゼクティブサマリー

第2章 イントロダクション

第3章 データ管理

  • ビジネスの重要データ動向
  • ビッグデータが主流に
  • データアジリティおよびフレキシビリティ
  • データの一般化
  • データ管理において安定した雇用傾向が続く
  • ビッグデータ・ビジネスインテリジェンスがサンドボックスにおいてよい働きをし始める
  • 特にCSPからのICTデータサービスの収益化の拡大
  • 人工知能 (AI) および機械学習 (マシンラーニング) がますます注目される
  • IoTデータ管理は新しい機会

第4章 クラウドコンピューティング

  • 消費者向けクラウドが新しいというよりは標準に
  • 次世代クラウドスキルはITリーダーにとってのテーブルステークスに
  • クラウドコンピューティングはほとんど生産性が均一
  • クラウドコンピューティングとモバイル、ソーシャルおよびアナリティクスとのコンバージェンス

第5章 IoT (モノのインターネット) およびIoE (INTERNET OF EVERYTHING)

  • IoTアーキテクチャー、クラウドおよびビッグデータ
  • IoTおよび広域ネットワーク (WAN)
  • IoTプラットフォーム
  • 産業オートメーションおよび産業用IoT
  • 消費者向け市場におけるIoT
  • ロボティクス (物理的・論理的)
  • IoTにおける雇用機会の拡大

第6章 ウェアラブル技術

  • ウェアラブルの主要な垂直産業
  • ウェアラブルの新しいアプリケーション領域
  • ウェアラブル技術の進化およびウェアラブルのエコシステム

第7章 仮想化およびプログラマブルICTインフラ

  • ソフトウェア定義ネットワーク (SDN)
  • ネットワーク機能仮想化 (NFV)
  • SDNとNFVの比較対照

第8章 無線アクセスネットワーク (RAN) 最適化

  • 異種ネットワーク (HETNET)
  • クラウドRAN
  • 自己組織化ネットワーク (SON)

第9章 ブロードバンドワイヤレスの進化

  • 長距離Wi-Fi
  • Wi-Fiデータ転送速度の向上
  • 4G以降 (B4G)
  • デバイス間 (D2D) 通信
  • 自動車間 (V2V) 通信および自動車V2X通信 (VEHICLE TO EVERYTHING )
  • モバイルエッジコンピューティング (MEC)
  • 第5世代 (5G) セルラー

第10章 超低レイテンシー依存アプリケーション

  • 触覚インターネット
  • トランスフォーマティブユーザーインターフェース (UI) およびユーザーエクスペリエンス (UX) 技術
  • 拡張現実 (AR) および仮想現実 (VR)

第11章 CSPにとってのより短期的なVASアプリケーションの機会

  • モバイルコマースおよび小売り販売の最適化
  • ウェアラブル技術、エコシステムおよびサービス
  • リアルタイム通信 (RTC) およびWEBRTC

第12章 インターネット、IP技術、およびOSSの最適化

  • 第3のネットワーク
  • キャリアイーサネットおよびCE2.0
  • ライフサイクル分析:地域別オーケストレーション (LSO)
  • 次世代OSS/BSS

第13章 注目セグメント

  • 組み込み型エンターテインメント
  • デジタルセキュリティ展望およびICTにおける役割の進化
  • 通信APIおよびCSPデータアズアサービス (DaaS)
  • 人工知能、マシンラーニングおよびコグニティブコンピューティング
  • 文化的な導入の進展・実行の加速
  • 公衆安全ブロードバンド通信およびアプリケーション
  • 中小企業サポートの改善
  • 屋内ロケーション、近接検知、および室内ワイヤレス
  • 産業4.0が製造業および産業用IoTに及ぼす影響
  • スマートシティイニシアチブが多様なICT革新を促進

第14章 注目の提携およびM&A

  • IoTの領域における ERICSSON と CISCO の提携
  • NOKIA NETWORKS と ALCATEL-LUCENT合併の可能性

第15章 サマリー・提言

  • ブロードバンド通信
  • クラウドコンピューティング
  • データ管理、ビッグデータ、およびアナリティクス
  • モノのインターネット (IoT)
  • 次世代アプリケーションおよびサービス

第16章 付録

図表

目次

The Information and Communications Technology (ICT) industry is experiencing profound change across a broad range of areas. Containing insights not found anywhere elsewhere, ICT Infrastructure, Platforms, Software, and Services: Trend Analysis, Market Outlook, and Forecasts for 2016 and Beyond provides comprehensive analysis of key ICT infrastructure, platforms, applications, and services. Primary coverage areas include 5G, Artificial Intelligences, Big Data, Cloud Computing, and the Internet of Things.

Secondary areas include Wearable Technology, Digital Security, Smart Cities (and supporting technologies), Gamification (e.g. embedded entertainment), Industry 4.0, Edge Computing, SDN and NFV, DevOps, and advanced applications such as WebRTC and emerging low-latency dependent services such as Haptic Internet and Augmented Reality.

The report provides trend analysis, market outlook, quantitative forecasts for 2015 - 2020 and predictions for 2016 and beyond. The report addresses every major ICT area with an emphasis on Data Management, Cloud Computing, and the Internet of Things. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

  • Network Operators
  • Software Developers
  • Equipment Providers
  • Data Services Providers
  • Cloud Computing Companies
  • Regulatory and Policy Groups
  • Business and Financial Institutions
  • Associations and Technology Groups
  • Corporate and Institutional Investors
  • Management Consulting and Advisory Firms

Report Benefits:

  • Diverse array of industry forecasts
  • Comprehensive qualitative analysis
  • Unique ICT data, insights, and opinions
  • Key segments to watch in 2016 and beyond
  • In-depth Big Data, Cloud Computing, and IoT analysis
  • Company licensee receives all forecasts in Excel format

Table of Contents

1.0 EXECUTIVE SUMMARY

2.0 INTRODUCTION

  • 2.1 KEY ICT TRENDS
  • 2.2 TECHNOLOGY COVERAGE AREAS

3.0 DATA MANAGEMENT

  • 3.1 IMPORTANT DATA TRENDS FOR BUSINESS
  • 3.2 BIG DATA GOES MAINSTREAM
  • 3.3 DATA AGILITY AND FLEXIBILITY
  • 3.4 DATA DEMOCRATIZATION
  • 3.5 STRONG HIRING TREND TO CONTINUE IN DATA MANAGEMENT
  • 3.6 BIG DATA AND BUSINESS INTELLIGENCE BEGIN TO PLAY NICE IN THE SANDBOX
  • 3.7 INCREASED MONETIZATION OF ICT DATA SERVICES ESPECIALLY FROM CSPS
  • 3.8 INCREASED EMPHASIS ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  • 3.9 IOT DATA MANAGEMENT IS AN EMERGING OPPORTUNITY

4.0 CLOUD COMPUTING

  • 4.1 THE CONSUMER CLOUD BECOMES MORE NORM THAN NOVELTY
  • 4.2 NEXT GENERATION CLOUD SKILLS ARE TABLE STAKES FOR IT LEADERS
  • 4.3 CLOUD COMPUTING IS ALMOST EQUATED WITH PRODUCTIVITY
  • 4.4 CLOUD COMPUTING CONVERGENCE WITH MOBILE, SOCIAL AND ANALYTICS

5.0 INTERNET OF THINGS (IOT) AND INTERNET OF EVERYTHING

  • 5.1 IOT ARCHITECTURE, CLOUD, AND BIG DATA
  • 5.2 IOT AND WIDE AREA NETWORKS (WAN)
  • 5.3 IOT PLATFORMS
  • 5.4 INDUSTRIAL AUTOMATION AND INDUSTRIAL IOT
  • 5.5 IOT IN CONSUMER MARKETS
  • 5.6 ROBOTICS (PHYSICAL AND LOGICAL)
  • 5.7 EXPANDING OPPORTUNITIES FOR EMPLOYMENT WITHIN IOT

6.0 WEARABLE TECHNOLOGY

  • 6.1 LEADING INDUSTRY VERTICALS FOR WEARABLES
  • 6.2 EMERGING APPLICATION AREAS FOR WEARABLES
  • 6.3 EVOLUTION OF WEARABLE TECHNOLOGY AND THE WEARABLES ECOSYSTEM

7.0 VIRTUALIZED AND PROGRAMMABLE ICT INFRASTRUCTURE

  • 7.1 SOFTWARE DEFINED NETWORKS (SDN)
  • 7.2 NETWORK FUNCTION VIRTUALIZATION (NFV)
  • 7.3 COMPARING AND CONTRASTING SDN AND NFV

8.0 RADIO ACCESS NETWORK (RAN) OPTIMIZATION

  • 8.1 HETEROGENEOUS NETWORKS (HETNET)
  • 8.2 CLOUD RAN
  • 8.3 SELF-ORGANIZING NETWORKS (SON)

9.0 EVOLUTION OF BROADBAND WIRELESS

  • 9.1 LONG RANGE WIFI
  • 9.2 WIFI DATA RATE IMPROVEMENTS
  • 9.3 BEYOND 4G (B4G)
  • 9.4 DEVICE TO DEVICE (D2D) COMMUNICATIONS
  • 9.5 VEHICLE TO VEHICLE (V2V) AND VEHICLE TO EVERYTHING (V2X)
  • 9.6 MOBILE EDGE COMPUTING (MEC)
  • 9.7 FIFTH GENERATION (5G) CELLULAR

10.0 EXTREMELY LOW LATENCY DEPENDENT APPLICATIONS

  • 10.1 HAPTIC INTERNET
  • 10.2 TRANSFORMATIVE USER INTERFACE (UI) AND USER EXPERIENCE (UX) TECHNOLOGIES
  • 10.3 AUGMENTED AND VIRTUAL REALITY

11.0 MORE NEAR-TERM VAS APPLICATION OPPORTUNITIES FOR CSPS

  • 11.1 MOBILE COMMERCE AND RETAIL SALES OPTIMIZATION
  • 11.2 WEARABLE TECHNOLOGY, ECOSYSTEM, AND SERVICES
  • 11.3 REAL-TIME COMMUNICATIONS (RTC) AND WEBRTC

12.0 OPTIMIZING THE INTERNET, IP TECHNOLOGY, AND OSS

  • 12.1 THE THIRD NETWORK
  • 12.2 CARRIER ETHERNET AND CE 2.0
  • 12.3 LIFE CYCLE ORCHESTRATION (LSO)
  • 12.4 NEXT GENERATION OSS/BSS

13.0 SEGMENTS TO WATCH IN 2016

  • 13.1 EMBEDDED ENTERTAINMENT (GAMIFICATION)
  • 13.2 DIGITAL SECURITY OUTLOOK AND EVOLVING ROLE IN ICT
  • 13.3 TELECOM APIS AND CSP DATA AS A SERVICE (DAAS)
  • 13.4 ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND COGNITIVE COMPUTING
  • 13.5 DEVOPS CULTURAL ADOPTION AND IMPLEMENTATION ACCELERATES
  • 13.6 PUBLIC SAFETY BROADBAND COMMUNICATIONS AND APPLICATIONS
  • 13.7 IMPROVED SMALL AND MEDIUM BUSINESS SUPPORT
  • 13.8 INDOOR LOCATION, PROXIMITY DETECTION, AND IN-BUILDING WIRELESS
  • 13.9 INDUSTRY 4.0 IMPACT ON MANUFACTURING AND INDUSTRIAL IOT
  • 13.10 SMART CITY INITIATIVES DRIVE DIVERSE ICT INNOVATION

14.0 PARTNERSHIPS AND M&A TO WATCH IN 2016

  • 14.1 ERICSSON AND CISCO PARTNERSHIP IN THE AREA OF IOT
  • 14.2 POTENTIAL MERGER OF NOKIA NETWORKS AND ALCATEL-LUCENT

15.0 SUMMARY AND RECOMMENDATIONS

  • 15.1 BROADBAND COMMUNICATIONS
    • 15.1.1 KEY TECHNOLOGY DEVELOPMENTS
    • 15.1.2 COMPANIES TO WATCH
  • 15.2 CLOUD COMPUTING
    • 15.2.1 KEY TECHNOLOGY DEVELOPMENTS
    • 15.2.2 COMPANIES TO WATCH
  • 15.3 DATA MANAGEMENT, BIG DATA, AND ANALYTICS
    • 15.3.1 KEY TECHNOLOGY DEVELOPMENTS
    • 15.3.2 COMPANIES TO WATCH
  • 15.4 INTERNET OF THINGS
    • 15.4.1 KEY TECHNOLOGY DEVELOPMENTS
    • 15.4.2 COMPANIES TO WATCH
  • 15.5 NEXT GENERATION APPLICATIONS AND SERVICES
    • 15.5.1 KEY TECHNOLOGY DEVELOPMENTS
    • 15.5.2 COMPANIES TO WATCH

16.0 APPENDIX

  • 16.1 SELECT MIND COMMERCE FORECASTS
    • 16.1.1 5G
    • 16.1.2 BIG DATA
    • 16.1.3 CLOUD COMPUTING
    • 16.1.4 INTERNET OF THINGS
    • 16.1.5 MISCELLANEOUS
  • 16.2 RECOMMENDED MIND COMMERCE REPORTS
    • 16.2.1 BROADBAND WIRELESS
    • 16.2.2 CLOUD COMPUTING
    • 16.2.3 DATA ECONOMY
    • 16.2.4 INTERNET OF THINGS
    • 16.2.5 OTHER AREAS

Figures

  • Figure 1: Automated Data Capture
  • Figure 2: Data Visualization to help with Data Analytics
  • Figure 3: Data Utilization Platforms
  • Figure 4: Telecom API Revenue 2015 - 2020
  • Figure 5: Cloud Infrastructure, Platforms, and Services
  • Figure 6: Mapping IoT to Industry Verticals
  • Figure 7: IoT and the Connected Home
  • Figure 8: Global Connected Home Market 2015 - 2020
  • Figure 9: Connected Vehicles by Application Type 2014 - 2019
  • Figure 10: Service Revenue in Connected Cars 2015 - 2020
  • Figure 11: IoT and Telecom API Topology
  • Figure 12: IoT Mediation
  • Figure 13: IoT and the Cloud
  • Figure 14: Big Data is Not Just a Data Dump
  • Figure 15: Fog Computing, IoT, and Data Management
  • Figure 16: Big Data in IoT
  • Figure 17: Global Big Data in IoT Market 2015 - 2020
  • Figure 18: LoRa IoT WAN Supporting Companies
  • Figure 19: Cellular IoT Use Cases
  • Figure 20: Smart Objects in Physical Environment
  • Figure 21: IoT Platforms and Cloud Data Management
  • Figure 22: Cellular IoT Use Cases
  • Figure 23: IoT Platform Functionality
  • Figure 24: IoT Platform Role in Services Mediation
  • Figure 25: Global IIoT Market 2015 - 2020
  • Figure 26: Global Wearable Gaming Revenue 2015 -2020
  • Figure 27: Wearable Advertising and "Pay per Gaze"
  • Figure 28: Wearable Advertising and "Pay per Emotion"
  • Figure 29: Wearable Technology Communication Evolution
  • Figure 30: SDN and NFV Crossover
  • Figure 31: SDN Global Markets 2015 - 2020
  • Figure 32: Network Function Virtualization (NFV)
  • Figure 33: Global NFV Market 2015 - 2020
  • Figure 34: HetNet Topology
  • Figure 35: Long Range WiFi
  • Figure 36: WiFi Data Improvements
  • Figure 37: Device to Device (D2D) Communications
  • Figure 38: The Mobile Edge Computing "Sweet Spot"
  • Figure 39: 5G Technology Evolution
  • Figure 40: 5G Technology and Services Vision
  • Figure 41: Tactile and Haptic Communications
  • Figure 42: Transformative UI and User Experience (UX)
  • Figure 43: Virtual Reality in Applications
  • Figure 44: Mobile Visual Search and Augmented Reality
  • Figure 45: Human and Data Interchange
  • Figure 46: Video Calling using WebRTC Applications
  • Figure 47: WebRTC Global Market Revenue Forecast 2015 - 2020
  • Figure 48: WebRTC Market Revenue Forecast by Region 2015 - 2020
  • Figure 49: The Third Network for Individuals
  • Figure 50: The Third Network for Businesses
  • Figure 51: The Third Network for Cloud Consumers
  • Figure 52: Lifecycle Orchestration
  • Figure 53: Global Gamification Market Forecast 2015 - 2020
  • Figure 54: Security in Fog Computing
  • Figure 55: Consumer vs. Industrial Security in EMEA 2014 - 2020
  • Figure 56: Artificial Intelligence Start-up Ecosystem
  • Figure 57: Machine Intelligence Landscape
  • Figure 58: DevOps Ecosystem
  • Figure 59: DevOps Benefit Metrics
  • Figure 60: Safety Mobile Broadband Subs by Technology 2011 - 2020
  • Figure 61: ICT SMB Platforms
  • Figure 62: Indoor Location Systems
  • Figure 63: Global Smart City Cumulative Market 2015 - 2020
  • Figure 64: Global Connected Devices 2015 - 2020
  • Figure 65: Global 5G Investment 2015/2020/2030
  • Figure 66: Global 5G Subscriptions 2022 - 2030
  • Figure 67: Healthcare and Big Data 2015 - 2020
  • Figure 68: Healthcare, Big Data, and Fraud 2015 - 2020
  • Figure 69: Big Data in Retail Market 2015 -2020
  • Figure 70: Global SaaS HCM Revenue 2015 - 2020
  • Figure 71: Global Smart Home Market 2015 - 2020
  • Figure 72: Global Smart Grid Market 2015 - 2020
  • Figure 73: Global Smart Building Market 2015 - 2020
  • Figure 74: Global Smart Industrial Automation Market 2015 - 2020
  • Figure 75: Global Smart Education Market 2015 - 2020
  • Figure 76: Global Smart Water Management Market 2015 - 2020

Tables

  • Table 1: DaaS Revenue 2015 - 2020
  • Table 2: Global Market for Connected Home 2015 - 2020
  • Table 3: Global Connected Home Market by Segment 2015 - 2020
  • Table 4: VPA Market Value by Ecosystem Participants 2025
  • Table 5: Wearables by Market Segment 2015 - 2020
  • Table 6: Small Cell Categories and Market Segments
  • Table 7: Global OSS & BSS Market Revenue 2015 - 2020
  • Table 8: Global IoT Security Solution Market 2015 - 2020
  • Table 9: Global DevOps Revenue by Toolsets and Consulting 2015 - 2020
  • Table 10: 5G Only Subscription APAC vs. NA vs. Europe vs. Others 2022 - 2030
  • Table 11: Global Markets for Big Data in Financial Sector
  • Table 12: Global Markets for Big Data in Financial Sector by Components
  • Table 13: Market for Big Data in Manufacturing 2015 - 2020
  • Table 14: Big Data in Manufacturing by Products / Services 2015 - 2020
  • Table 15: Big Data in Retail Revenue by H/W vs. S/W vs. Services 2015 - 2020
  • Table 16: Global HCM SaaS Revenue 2015 - 2020
  • Table 17: Global HCM SaaS Revenue by Platform 2015 - 2020
  • Table 18: Markets for Sensors by Industry Category 2015 - 2020
  • Table 19: Market for Sensors by IoT Type: 2015 - 2020
  • Table 20: Connected Devices by Objects and Services 2015 - 2020
Back to Top