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IoT (モノのインターネット) におけるビッグデータ:主要動向・市場機会・市場予測 (2015年〜2020年)

Big Data in Internet of Things (IoT): Key Trends, Opportunities and Market Forecasts 2015 - 2020

発行 Mind Commerce 商品コード 328425
出版日 ページ情報 英文 129 Pages
納期: 即日から翌営業日
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IoT (モノのインターネット) におけるビッグデータ:主要動向・市場機会・市場予測 (2015年〜2020年) Big Data in Internet of Things (IoT): Key Trends, Opportunities and Market Forecasts 2015 - 2020
出版日: 2015年04月16日 ページ情報: 英文 129 Pages
概要

ビッグデータおよびアナリティクス用のソフトウェアおよびアプリケーションはIoT (モノのインターネット) を成功に導くために重要な役割を果たすでしょう。さまざまなモノに内蔵されたセンサーから回収されるデータは、大量の構造化されていないビッグデータをリアルタイムで生成しますが、これらは意思決定プロセスの劇的な改善につながるインテリジェンスとして有望視されています。

当レポートでは、IoT (モノのインターネット) におけるビッグデータの役割と関連製品・サービスの市場について調査し、IoTにおけるビッグデータの重要性、ビッグデータ利用における主要動向、主要ベンダーの取り組み、IoTの導入予測、ビッグデータ関連製品&サービス市場の予測、タイプ (データ回収・ストレージ・アナリティクス&アプリケーションインフラ・ビッグデータアズアサービス)・エンドユーズ産業・地域別の詳細分析、主要企業のプロファイルなどをまとめています。

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 IoTにおけるビッグデータ

  • 2020年の展望
  • IoTのためのビッグデータの枠組み
  • 新しいプロトコル、プラットフォーム、ストリーミング&パーシング機能、ソフトウェア、解析ツールの必要性
  • IoTにおけるビッグデータの課題

第4章 主要動向:IoTにおけるビッグデータ

  • 大規模企業:新興企業のM&Aおよび提携によるリード
  • ビッグデータアズアサービス:大きなシェアを占める見通し
  • M2Mアナリティクスおよびクラウドサービスの既存企業が初期の受益者
  • ビッグデータサービスのためのフレキシブル&スケーラブルな収益モデル:もっとも成功する見通し
  • ビッグデータによる効率改善と新規事業の生成

第5章 ベンダーのエコシステム:IoTにおけるビッグデータ

  • AGT:クラウドベースのIoT向け解析プラットフォームを提供
  • AT&TのM2X:クラウドベースのIoT向けデータストレージ&管理ツールセット
  • Bosch Innovation:データ分析のためのビッグデータ処理 (BDP)
  • Cisco IOxフレームワークとFog Computing、など

第6章 IoTにおけるビッグデータの市場:予測

  • 世界のIoTの導入の拡大
    • 消費者用IoT
    • 産業用IoT (IIoT)
  • IoTにおけるビッグデータの市場:予測
  • ビッグデータ 製品・サービスの市場:推移と予測
    • IoTにおけるビッグデータ回収インフラの市場
    • IoTにおけるビッグデータストレージインフラの市場
    • IoTにおけるビッグデータアナリティクス&アプリケーションインフラの市場
    • IoTにおけるビッグデータアズアサービスの市場
  • IoTにおけるビッグデータの市場:産業別予測
    • HVAC
    • CE製品
    • 医療
    • 製造
    • 石油ガス
    • 輸送・貨物
  • IoTにおけるビッグデータの市場:地域別予測
    • 北米
    • 欧州・中東・アフリカ
    • アジア太平洋
    • 中南米

第7章 主要企業

  • AGT Group GMBH
  • Glassbeam Inc.
  • MongoDb Inc.
  • netmagic Solutions
  • Oracle
  • Parstream Inc.
  • Splunk Inc.

図表

目次

Billions of devices generate data associated with various enterprise and consumer lifestyle events such as shopping activity, utility usage and other smart grid data, advertisement response, status of goods in transport, weather forecasts, traffic conditions, vehicle maintenance, public transport, downloads and usage of applications, and much more.

Big Data and Analytics software and applications will play a crucial role in making IoT a success. The data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes. However, Big Data in IoT is different than conventional IoT and thus will require more robust, agile and scalable platforms, analytics tools, and data storage systems than conventional Big Data infrastructure.

This research provides in depth qualitative analysis as well as forecasts through 2020. The report evaluates key business trends in Big Data deployments relative to IoT and assesses what companies doing in this area to generate a strong market share. 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:

  • Semiconductor companies
  • Telecom network operators
  • Embedded systems companies
  • Telecom infrastructure suppliers
  • Big Data and analytics companies
  • Data as a Service (DaaS) companies
  • Application developers and aggregators
  • Cloud-based service providers of all types
  • Managed service and middleware companies
  • Data processing and management companies
  • Application Programmer Interface (API) companies
  • Identity management, privacy, and security companies
  • Public investment organizations including investment banks
  • Sensor, presence, location, and detection solution providers
  • Private investment including hedge funds and private equity

Report Benefits:

  • Forecasts (global, regional, and by industry) to 2020
  • Understand the role and importance of Big Data in IoT
  • Identify the early beneficiaries and longer-term winners
  • Identify key market issues and drivers for Big Data in IoT
  • Identify leading companies for Big Data and Analytics in IoT
  • Identify emerging trends and implications for Big Data in IoT
  • Understand the emerging vendor ecosystem for Big Data in IoT
  • Understand the impact on infrastructure, products, and services
  • Learn about the differences between Big Data with and without IoT
  • Identify areas for infrastructure, platform, and software investment

Table of Contents

1 Introduction

  • 1.1 Scope of the Research
  • 1.2 Target Audience
  • 1.3 Companies in Report

2 Executive Summary

3 Big Data in IoT

  • 3.1 By 2020, 50 billion IoT will generate 40 Zetabytes of Data
  • 3.2 Big Data Framework for IoT
  • 3.3 Need for New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
    • 3.3.1 Big Data in IoT will need Unified Logging Layer
      • 3.3.1.1 Fluentd
    • 3.3.2 Big Data in IoT will require Lightweight Data Interchange Format
      • 3.3.2.1 JSON (JavaScript Object Notation)
    • 3.3.3 Big Data in IoT will use Lightweight Protocols
      • 3.3.3.1 OASIS MQTT (Message Queuing Telemetry Transport)
        • 3.3.3.1.1 MQTT v3.1.1 is now Open Source OASIS Standard
      • 3.3.3.2 XMPP (Extensible Messaging and Presence Protocol)
      • 3.3.3.3 AMQP (Advanced Message Queuing Protocol)
    • 3.3.4 Big Data in IoT will need Protocol for Network Interoperability
      • 3.3.4.1 Data Distribution Service (DDS)
    • 3.3.5 Big Data in IoT Demands Data Processing on Appropriate Scale
  • 3.4 Big Data in IoT Challenges
    • 3.4.1.1 Storage of Scalable High-volume Data
      • 3.4.1.2 Data Management and Processing Raw Data: Difficult Task in Multivendor Environment
    • 3.4.2 Data Security and Personal Information Privacy are the Biggest Hurdles

4 Key Trends for Big Data in IoT Business

  • 4.1 Large Companies will Lead through M&A and Partnership with Start-ups
  • 4.2 Big Data as a Service will take Major Market Share
  • 4.3 Established Companies in M2M Analytics and Cloud Services will be Early Beneficiaries
  • 4.4 Flexible and Scalable Revenue Model for Big Data Services will be Most Successful
  • 4.5 Big Data brings 40% Savings in Operational Activities and 35% New Business Generation

5 Vendor Ecosystem: Big Data in IoT

  • 5.1 AGT offers Cloud based Analytical Platform for IoT
  • 5.2 AT&T's M2X: Cloud-based Data Storage Service and Management Toolset Designed for IoT
  • 5.3 Bosch Innovation offers Big Data Processing (BDP) for Data Analysis
  • 5.4 Cisco IOX Framework and Fog Computing: Compute, Store, and Analyze Data at the Edge
  • 5.5 GE Software Launched 24 Predictivity Solutions and GE Predix Platform
  • 5.6 Intel Provides Cloud based Analytics System for IoT
  • 5.7 MongoDB released Ver. 3.0 Database System
  • 5.8 ParStream released New Version of its Analytical Platform
  • 5.9 Real Time Innovation and Connext DDS: Comprehensive Messaging Platform

6 Big Data in IoT Market Forecast 2015 - 2020

  • 6.1 Global IoT Deployment will become a $1.5 Trillion Market by 2020
    • 6.1.1 Consumer IoT
    • 6.1.2 Industrial IoT (IIoT)
  • 6.2 Big Data in IoT Markets 2015 - 2020
  • 6.3 Markets for Big Data Products/Services for IoT 2015 - 2020
    • 6.3.1 Markets for Big Data Collection Infrastructure in IoT 2015 - 2020
    • 6.3.2 Markets for Big Data Storage Infrastructure in IoT 2015 - 2020
    • 6.3.3 Markets for Big Data Analytics and Application Infrastructure in IoT 2015 - 2020
    • 6.3.4 Markets for Big Data as a Service in IoT 2015 - 2020
  • 6.4 Big Data in IoT by Industry 2015 - 2020
    • 6.4.1 Big Data in IoT for HVAC 2015 - 2020
    • 6.4.2 Big Data in IoT for Consumer Electronics 2015 - 2020
    • 6.4.3 Big Data in IoT for Healthcare 2015 - 2020
    • 6.4.4 Big Data in IoT for Manufacturing 2015 - 2020
    • 6.4.5 Big Data in IoT for Oil and Gas 2015 - 2020
    • 6.4.6 Big Data in IoT for Transport and Cargo 2015 - 2020
  • 6.5.1 North American Market for Big Data in IoT 2015 - 2020
    • 6.5.2 EMEA Market for Big Data in IoT 2015 - 2020
    • 6.5.3 APAC Market for Big Data in IoT 2015 - 2020
    • 6.5.4 CALA Market for Big Data in IoT 2015 - 2020

7 Key Companies

  • 7.1 AGT Group GMBH
  • 7.2 Glassbeam Inc.
  • 7.3 MongoDb Inc.
  • 7.4 netmagic Solutions
  • 7.5 Oracle
  • 7.6 Parstream Inc.
  • 7.7 Splunk Inc.

Figures

  • Figure 1: Framework for Big Data in IoT
  • Figure 2: Operational and New revenue Benefits of Big Data in IoT
  • Figure 3: Global IoT Markets 2015 - 2020
  • Figure 4: Global markets for Big Data in IoT
  • Figure 5: Revenue for Big Data Products and Services offered for IoT 2015 - 2020
  • Figure 6: Markets for Big Data Collection Infrastructure in IoT
  • Figure 7: Regional Markets for Big Data Collection Infrastructure in IoT 2015 - 2020
  • Figure 8: Markets for Big Data Storage Infrastructure in IoT
  • Figure 9: Regional Markets for Big Data Storage Infrastructure in IoT 2015 - 2020
  • Figure 10: Markets for Big Data Analytics and Applications Infrastructure in IoT
  • Figure 11: Regional Markets for Big Data Analytics & App Infrastructure in IoT 2015 - 2020
  • Figure 12: Markets for Big Data as a Service in IoT
  • Figure 13: Regional Markets for Big Data as a Service in IoT 2015 - 2020
  • Figure 14: Big Data in IoT by Industry Segment 2015 - 2020
  • Figure 15: Big Data in IoT for HVAC 2015 - 2020
  • Figure 16: Regional markets for Big Data in IoT for HVAC 2015 - 2020
  • Figure 17: Big Data in IoT for Consumer Electronics 2015 - 2020
  • Figure 18: Regional Markets for Big Data in IoT for Consumer Electronics 2015 - 2020
  • Figure 19: Big Data in IoT for Healthcare 2015 - 2020
  • Figure 20: Regional markets for Big Data in IoT for Consumer Electronics 2015 - 2020
  • Figure 21: Big Data in IoT for Manufacturing 2015 - 2020
  • Figure 22: Regional markets for Big Data in IoT for Manufacturing 2015 - 2020
  • Figure 23: Big Data in IoT for Oil and Gas 2015 - 2020
  • Figure 24: Regional markets for Big Data in IoT for Oil and Gas 2015 - 2020
  • Figure 25: Big Data in IoT for Transport and Cargo 2015 - 2020
  • Figure 26: Regional Markets for Big Data in IoT for Oil and Gas 2015 - 2020
  • Figure 27: Big Data in IoT for Utility 2015 - 2020
  • Figure 28: Regional markets for Big Data in IoT for Utility 2015 - 2020
  • Figure 29: Regional Markets for Big Data in IoT 2015 - 2020
  • Figure 30: North American Market for Big Data in IoT 2015 - 2020
  • Figure 31: North America Market for Big Data in IoT Products/Services 2015 - 2020
  • Figure 32: North American Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Figure 33: EMEA market for Big Data in IoT
  • Figure 34: EMEA Market for Big Data in IoT Products and Services 2015 - 2020
  • Figure 35: EMEA Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Figure 36: APAC Market for Big Data in IoT
  • Figure 37: APAC Market for Big Data in IoT Products and Services 2015 - 2020
  • Figure 38: APAC Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Figure 39: APAC Market for Big Data in IoT
  • Figure 40: CALA Market for Products and Services offered by Big Data in IoT 2015 - 2020
  • Figure 41: CALA Market for Big Data in IoT by Industry Segment 2015 - 2020

Tables

  • Figure 1: Fram
  • Table 1: Global IoT Markets 2015 - 2020
  • Table 2: Global markets for Big Data in IoT
  • Table 3: Revenue for Big Data products and Services offered for IoT 2015 - 2020
  • Table 4: Markets for Big Data Collection Infrastructure in IoT 2015 - 2020
  • Table 5: Regional Markets for Big Data Collection Infrastructure in IoT 2015 - 2020
  • Table 6: Markets for Big Data Storage Infrastructure in IoT
  • Table 7: Regional Markets for Big Data Storage Infrastructure in IoT 2015 - 2020
  • Table 8: Markets for Big Data Analytics and Applications Infrastructure in IoT
  • Table 9: Regional Markets for Big Data Analytics and App Infrastructure in IoT 2015 - 2020
  • Table 10: Markets for Big Data as a Service in IoT
  • Table 11: Regional Markets for Big Data as a Service in IoT 2015 - 2020
  • Table 12: Big Data in IoT by Industry 2015 - 2020
  • Table 13: Markets for Big Data in IoT for HVAC
  • Table 14: Regional markets for Big Data in IoT for HVAC 2015 - 2020
  • Table 15: Markets for Big Data in IoT for Consumer Electronics
  • Table 16: Regional Markets for Big Data in IoT for Consumer Electronics 2015 - 2020
  • Table 17: Big Data in IoT for Healthcare 2015 - 2020
  • Table 18: Regional markets for Big Data in IoT for Healthcare 2015 - 2020
  • Table 19: Regional markets for Big Data in IoT for Manufacturing 2015 - 2020
  • Table 20: Regional markets for Big Data in IoT for Oil and Gas 2015 - 2020
  • Table 21: Regional Markets for Big Data in IoT for Transport and Cargo 2015 - 2020
  • Table 22: Regional markets for Big Data in IoT for Utility 2015 - 2020
  • Table 23: Regional Markets for Big Data in IoT 2015 - 2020
  • Table 24: North American Market for Big Data in IoT
  • Table 25: North American Market for Big Data in IoT Products/Services 2015 - 2020
  • Table 26: North American Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Table 27: EMEA market for Big Data in IoT
  • Table 28: EMEA Market for Big Data in IoT Products and Services 2015 - 2020
  • Table 29: EMEA Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Table 30: APAC Market for Big Data in IoT
  • Table 31: APAC Market for Big Data in IoT Products and Services 2015 - 2020
  • Table 32: APAC Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Table 33: CALA Market for Big Data in IoT
  • Table 34: CALA Market for Products /Services offered by Big Data in IoT 2015 - 2020
  • Table 35: CALA Market for Big Data in IoT by Industry Segment 2015 - 2020
  • Table 36: AGT Group
  • Table 37: Glassbeam Inc.
  • Table 38: MongoDB Inc.
  • Table 39: Netmagic Solutions
  • Table 40: Oracle Corporation
  • Table 41: ParStream Inc.
  • Table 42: Splunk Inc.
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