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表紙
市場調查報告書

物聯網大數據-物聯網數據管理/分析/決策制定:2020-2025

Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2020 - 2025

出版商 Mind Commerce 商品編碼 960600
出版日期 內容資訊 英文 242 Pages
商品交期: 最快1-2個工作天內
價格
物聯網大數據-物聯網數據管理/分析/決策制定:2020-2025 Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2020 - 2025
出版日期: 2020年09月16日內容資訊: 英文 242 Pages
簡介

IoT的大數據不同於傳統的IoT,因此與傳統的大數據基礎架構相比,它需要更強大,敏捷和可擴展的平台,分析工具和數據存儲系統。隨著物聯網的發展並變得越來越普遍,大數據分析將變得越來越重要。

本報告調查和分析了物聯網的大數據市場,並系統地涵蓋了到2025年的預測,角色和重要性,主要市場問題和驅動因素,主要公司,新興廠商系統和投資領域,並提供了信息。

目錄

第1章執行摘要

第2章物聯網大數據

  • 物聯網大數據框架
  • 需要新協議,平台,串流/分析,軟件/分析工具
  • 物聯網的大數據問題

第3章物聯網大數據的業務趨勢和預測

  • 大公司的合夥關係和併購
  • 用於物聯網的BDaaS成為主流
  • M2M分析雲端服務是早期受益者
  • 物聯網大數據分析的網絡安全
  • 靈活且可擴展的大數據服務收入模型
  • 大數據運營節省和新業務模式

第4章物聯網的大數據供應商生態系統

  • 用於物聯網的基於雲的分析平台
  • 基於雲的數據存儲服務和管理工具集
  • 大數據處理,可進行大量數據分析
  • 在網絡邊緣計算/存儲/分析數據
  • 預測平台和解決方案
  • 用於物聯網的基於雲端的分析系統
  • 數據庫系統的升級和發展
  • Analytics平台的升級和發展
  • 實時DDS和全面的消息傳遞平台

第5章IoT的大數據市場分析和預測

  • 推動物聯網大數據的因素
  • 整個全球物聯網大數據市場
  • 物聯網的全球大數據解決方案市場
  • 全球物聯網大數據中的硬件,軟件和服務
  • 全球物聯網大數據產品和服務
  • 物聯網大數據:按行業

第6章主要公司

  • 1010Data (Advance Communication Corp.)
  • Accenture
  • Actian Corporation
  • AdvancedMD
  • Alation
  • Allscripts Healthcare Solutions
  • Alpine Data Labs
  • Alteryx
  • Amazon
  • Anova Data
  • Apache Software Foundation
  • Apple Inc.
  • APTEAN (Formerly CDC Software)
  • Athena Health Inc.
  • Attunity
  • Booz Allen Hamilton
  • Bosch Software Innovations: Bosch IoT Suite
  • BGI
  • Big Panda
  • Bina Technologies Inc.
  • Capgemini
  • Cerner Corporation
  • Cisco Systems
  • CLC Bio
  • Cloudera
  • Cogito Ltd.
  • Compuverde
  • CRAY Inc.
  • Computer Science Corporation (CSC)
  • Crux Informatics
  • Ctrl Shift
  • Cvidya
  • Cybatar
  • DataDirect Network
  • Data Inc.
  • Databricks
  • Dataiku
  • Datameer
  • Data Stax
  • Definiens
  • Dell EMC
  • Deloitte
  • Domo
  • eClinicalWorks
  • Epic Systems Corporation
  • Facebook
  • Fluentd
  • Flytxt
  • Fujitsu
  • Genalice
  • General Electric
  • GenomOncology
  • GoodData Corporation
  • Google
  • Greenplum
  • Grid Gain Systems
  • Groundhog Technologies
  • Guavus
  • Hack/reduce
  • HPCC Systems
  • HP Enterprise
  • Hitachi Data Systems
  • Hortonworks
  • IBM
  • Illumina Inc
  • Imply Corporation
  • Informatica
  • Inter Systems Corporation
  • Intel
  • IVD Industry Connectivity Consortium-IICC
  • Jasper (Cisco Jasper)
  • Juniper Networks
  • Knome,Inc.
  • Leica Biosystems (Danaher)
  • Longview
  • MapR
  • Marklogic
  • Mayo Medical Laboratories
  • McKesson Corporation
  • Medical Information Technology Inc. (MEDITECH)
  • Medio
  • Medopad
  • Microsoft
  • Microstrategy
  • MongoDB (Formerly 10Gen)
  • MU Sigma
  • N-of-One
  • Netapp
  • NTT Data
  • Open Text (Actuate Corporation)
  • Opera Solutions
  • Oracle
  • Palantir Technologies Inc.
  • Pathway Genomics Corporation
  • Perkin Elmer
  • Pentaho (Hitachi)
  • Platfora
  • Qlik Tech
  • Quality Systems Inc (QSI)
  • Quantum
  • Quertle
  • Quest Diagnostics Inc.
  • Rackspace
  • Red Hat
  • Revolution Analytics
  • Roche Diagnostics
  • Rocket Fuel Inc.
  • Salesforce
  • SAP
  • SAS Institute
  • Selventa Inc.
  • Sense Networks
  • Shanghai Data Exchange
  • Sisense
  • Social Cops
  • Software AG/Terracotta
  • Sojern
  • Splice Machine
  • Splunk
  • Sqrrl
  • Sumo Logic
  • Sunquest Information Systems
  • Supermicro
  • Tableau Software
  • Tableau
  • Tata Consultancy Services
  • Teradata
  • ThetaRay
  • Thoughtworks
  • Think Big Analytics
  • TIBCO
  • Tube Mogul
  • Verint Systems
  • VolMetrix
  • VMware (Part of EMC)
  • Wipro
  • Workday (Platfora)
  • WuXi NextCode Genomics
  • Zoomdata

第7章摘要和結論

目錄

Overview:

This report evaluates the technologies, companies, and solutions for leveraging big data tools and advanced analytics for IoT data processing. Emphasis is placed on leveraging IoT data for process improvement, new and improved products, and ultimately enterprise IoT data syndication. The report includes detailed forecasts for 2020 through 2025.

Data that is uncorrelated and does not have a pre-defined data model and is not organized in a pre-defined manner requires special handling and analytics techniques. The common industry term, big data, represents unstructured data sets that are large, complex, and prohibitively difficult to process using traditional management tools. As the Internet of Things (IoT) progresses, there will be an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will drive substantial opportunities for AI support of unstructured data analytics solutions.

Big data in IoT is different from conventional IoT and thus will require more robust, agile and scalable platforms, analytical tools and data storage systems than conventional big data infrastructure. Looking beyond data management processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands. Big data and analytics will increase in importance as IoT evolves to become more commonplace. Data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on a real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes.

Big data in IoT is also dissimilar than non-machine related analytics and thus will require more robust, agile and scalable platforms, analytics tools, and data storage systems than conventional infrastructure. Due to this new architecture approach, the need to handle data differently, and the sheer volume of unstructured data, there will be great opportunities for big data in IoT. Analytics used in IoT will become an enabler for the entire IoT ecosystem as enterprise begin to take advantage of new business opportunities such as syndicating their own data.

Target Audience:

  • ICT 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

Report Benefits:

  • Forecasts (global, regional, and by industry) to 2025
  • Understand the role and importance of big data in IoT
  • Identify key market issues and drivers for big data in IoT
  • Identify leading companies for big data and analytics in IoT
  • Understand the emerging vendor ecosystem for big data in IoT
  • Identify areas for infrastructure, platform, and software investment

Table of Contents

1 Executive Summary

2 Big Data in Internet of Things

  • 2.1 Big Data Framework for IoT
  • 2.2 Need for New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
    • 2.2.1 Big Data in IoT will need Unified Logging Layer
    • 2.2.2 Big Data in IoT Data Formats
    • 2.2.3 Big Data in IoT Protocols
    • 2.2.4 Big Data in IoT Protocols for Network Interoperability
    • 2.2.5 Big Data in IoT Data Processing Scalability
  • 2.3 Big Data in IoT Challenges
    • 2.3.2 Data Security and Personal Information Privacy Challenges

3 Big Data in IoT Business Trends and Predictions

  • 3.1 Large Companies Partnerships and M&A
  • 3.2 Big Data as a Service for IoT Becomes Mainstream
  • 3.3 M2M Analytics and Cloud Services will be Early Beneficiaries
  • 3.4 Cybersecurity for Big Data Analytics in IoT
  • 3.5 Flexible and Scalable Revenue Models for Big Data Services
  • 3.6 Big Data Operational Savings and New Business Models

4 Big Data in IoT Vendor Ecosystem

  • 4.1 Cloud based Analytics Platforms for IoT
  • 4.2 Cloud-based Data Storage Service and Management Toolsets
  • 4.3 Big Data Processing for Massive Data Analysis
  • 4.4 Compute, Store, and Analyze Data at the Edge of Networks
  • 4.5 Predictive Platforms and Solutions
  • 4.6 Cloud based Analytics Systems for IoT
  • 4.7 Database System Upgrades and Evolution
  • 4.8 Analytics Platform Upgrades and Evolution
  • 4.9 Real Time DDS and Comprehensive Messaging Platforms

5 Big Data in IoT Market Analysis and Forecasts

  • 5.1 Driving Factors for Big Data in IoT
    • 5.1.1 Consumer IoT
    • 5.1.2 Industrial IoT
    • 5.1.3 Enterprise IoT
    • 5.1.4 Government IoT
  • 5.2 Overall Global Market for Big Data in IoT 2020 - 2025
  • 5.3 Global Big Data Solutions in IoT Market 2020 - 2025
  • 5.4 Global Big Data in IoT Hardware, Software, and Services 2020 - 2025
  • 5.5 Global Big Data in IoT Products and Services 2020 - 2025
    • 5.5.1 Market for Big Data Collection in IoT 2020 - 2025
    • 5.5.2 Market for Big Data Storage in IoT 2020 - 2025
    • 5.5.3 Market for Big Data Analytics and Applications in IoT 2018 - 2025
    • 5.5.4 Markets for Big Data as a Service in IoT 2018 to 2025
  • 5.6 Big Data in IoT by Industry 2020 - 2025
    • 5.6.1 Big Data in IoT for Building Automation 2020 - 2025
    • 5.6.2 Big Data in IoT for Consumer Electronics 2020 - 2025
    • 5.6.3 Big Data in IoT for Financial Services 2020 - 2025
    • 5.6.4 Big Data in IoT for Government 2020 - 2025
    • 5.6.5 Big Data in IoT for Healthcare 2020 - 2025
    • 5.6.6 Big Data in IoT for Manufacturing 2020 - 2025
    • 5.6.7 Big Data in IoT for Oil and Gas 2018 to 2025
    • 5.6.8 Big Data in IoT for Retail Industry 2020 - 2025
    • 5.6.9 Big Data in IoT for ICT Industry 2020 - 2025
    • 5.6.10 Big Data in IoT for Transport and Cargo 2020 - 2025
    • 5.6.11 Big Data in IoT for Utilities Industry 2020 - 2025

6 Key Companies

  • 6.1 1010Data (Advance Communication Corp.)
  • 6.2 Accenture
  • 6.3 Actian Corporation
  • 6.4 AdvancedMD
  • 6.5 Alation
  • 6.6 Allscripts Healthcare Solutions
  • 6.7 Alpine Data Labs
  • 6.8 Alteryx
  • 6.9 Amazon
  • 6.10 Anova Data
  • 6.11 Apache Software Foundation
  • 6.12 Apple Inc.
  • 6.13 APTEAN (Formerly CDC Software)
  • 6.14 Athena Health Inc.
  • 6.15 Attunity
  • 6.16 Booz Allen Hamilton
  • 6.17 Bosch Software Innovations: Bosch IoT Suite
  • 6.18 BGI
  • 6.19 Big Panda
  • 6.20 Bina Technologies Inc.
  • 6.21 Capgemini
  • 6.22 Cerner Corporation
  • 6.23 Cisco Systems
  • 6.24 CLC Bio
  • 6.25 Cloudera
  • 6.26 Cogito Ltd.
  • 6.27 Compuverde
  • 6.28 CRAY Inc.
  • 6.29 Computer Science Corporation (CSC)
  • 6.30 Crux Informatics
  • 6.31 Ctrl Shift
  • 6.32 Cvidya
  • 6.33 Cybatar
  • 6.34 DataDirect Network
  • 6.35 Data Inc.
  • 6.36 Databricks
  • 6.37 Dataiku
  • 6.38 Datameer
  • 6.39 Data Stax
  • 6.40 Definiens
  • 6.41 Dell EMC
  • 6.42 Deloitte
  • 6.43 Domo
  • 6.44 eClinicalWorks
  • 6.45 Epic Systems Corporation
  • 6.46 Facebook
  • 6.47 Fluentd
  • 6.48 Flytxt
  • 6.49 Fujitsu
  • 6.50 Genalice
  • 6.51 General Electric
  • 6.52 GenomOncology
  • 6.53 GoodData Corporation
  • 6.54 Google
  • 6.55 Greenplum
  • 6.56 Grid Gain Systems
  • 6.57 Groundhog Technologies
  • 6.58 Guavus
  • 6.59 Hack/reduce
  • 6.60 HPCC Systems
  • 6.61 HP Enterprise
  • 6.62 Hitachi Data Systems
  • 6.63 Hortonworks
  • 6.64 IBM
  • 6.65 Illumina Inc
  • 6.66 Imply Corporation
  • 6.67 Informatica
  • 6.68 Inter Systems Corporation
  • 6.69 Intel
  • 6.70 IVD Industry Connectivity Consortium-IICC
  • 6.71 Jasper (Cisco Jasper)
  • 6.72 Juniper Networks
  • 6.73 Knome,Inc.
  • 6.74 Leica Biosystems (Danaher)
  • 6.75 Longview
  • 6.76 MapR
  • 6.77 Marklogic
  • 6.78 Mayo Medical Laboratories
  • 6.79 McKesson Corporation
  • 6.80 Medical Information Technology Inc. (MEDITECH)
  • 6.81 Medio
  • 6.82 Medopad
  • 6.83 Microsoft
  • 6.84 Microstrategy
  • 6.85 MongoDB (Formerly 10Gen)
  • 6.86 MU Sigma
  • 6.87 N-of-One
  • 6.88 Netapp
  • 6.89 NTT Data
  • 6.90 Open Text (Actuate Corporation)
  • 6.91 Opera Solutions
  • 6.92 Oracle
  • 6.93 Palantir Technologies Inc.
  • 6.94 Pathway Genomics Corporation
  • 6.95 Perkin Elmer
  • 6.96 Pentaho (Hitachi)
  • 6.97 Platfora
  • 6.98 Qlik Tech
  • 6.99 Quality Systems Inc (QSI)
  • 6.100 Quantum
  • 6.101 Quertle
  • 6.102 Quest Diagnostics Inc.
  • 6.103 Rackspace
  • 6.104 Red Hat
  • 6.105 Revolution Analytics
  • 6.106 Roche Diagnostics
  • 6.107 Rocket Fuel Inc.
  • 6.108 Salesforce
  • 6.109 SAP
  • 6.110 SAS Institute
  • 6.111 Selventa Inc.
  • 6.112 Sense Networks
  • 6.113 Shanghai Data Exchange
  • 6.114 Sisense
  • 6.115 Social Cops
  • 6.116 Software AG/Terracotta
  • 6.117 Sojern
  • 6.118 Splice Machine
  • 6.119 Splunk
  • 6.120 Sqrrl
  • 6.121 Sumo Logic
  • 6.122 Sunquest Information Systems
  • 6.123 Supermicro
  • 6.124 Tableau Software
  • 6.125 Tableau
  • 6.126 Tata Consultancy Services
  • 6.127 Teradata
  • 6.128 ThetaRay
  • 6.129 Thoughtworks
  • 6.130 Think Big Analytics
  • 6.131 TIBCO
  • 6.132 Tube Mogul
  • 6.133 Verint Systems
  • 6.134 VolMetrix
  • 6.135 VMware (Part of EMC)
  • 6.136 Wipro
  • 6.137 Workday (Platfora)
  • 6.138 WuXi NextCode Genomics
  • 6.139 Zoomdata

7 Summary and Conclusions

  • 7.1 Emerging Opportunity Areas within Big Data in IoT
    • 7.1.1 IoT Data Management and Analytics Marketplace
    • 7.1.2 Decisions as a Service
  • 7.2 Evolution of Structured and Unstructured Data Exchange
    • 7.2.1 Phase One: Limited Data Exchange
    • 7.2.2 Phase Two: Selective Data Exchange between Industries
    • 7.2.3 Phase Three: Expanded Data Exchange across Industries and Between Competitors

Figures

  • Figure 1: Framework for Big Data in IoT
  • Figure 2: Big Data in IoT Care of Custody
  • Figure 3: Big Data in IoT Direct vs. Indirect Monetization
  • Figure 4: Big Data in IoT Internal vs. External Monetization
  • Figure 5: Big Data in IoT Hybrid Data from Merged Sources
  • Figure 6: New Revenue and Operational Benefits of Big Data in IoT
  • Figure 7: Big Data in Internet of Things 2020 - 2025
  • Figure 8: Big Data in IoT by Solution 2020 - 2025
  • Figure 9: Big Data in IoT Products and Services 2020 - 2025
  • Figure 10: Market for Big Data Collection in IoT 2020 - 2025
  • Figure 11: Regional Markets for Big Data Collection in IoT 2020 - 2025
  • Figure 12: Big Data Storage in IoT Market 2020 - 2025
  • Figure 13: Regional Market for Big Data Storage in IoT 2020 - 2025
  • Figure 14: Big Data Analytics and Applications in IoT Market 2020 - 2025
  • Figure 15: Regional Markets for Big Data Analytics and Applications in IoT 2020 - 2025
  • Figure 16: Big Data as a Service in IoT Market 2020 - 2025
  • Figure 17: Regional Markets for Big Data as a Service in IoT 2020 - 2025
  • Figure 18: Big Data in IoT by Industry Vertical 2020 - 2025
  • Figure 19: Big Data in IoT for Building Automation 2020 - 2025
  • Figure 20: Big Data in IoT for Consumer Electronics 2020 - 2025
  • Figure 21: Big Data in IoT for Financial Services 2020 - 2025
  • Figure 22: Big Data in IoT for Government 2020 - 2025
  • Figure 23: Big Data in IoT for Healthcare 2020 - 2025
  • Figure 24: Big Data in IoT for Manufacturing 2020 - 2025
  • Figure 25: Big Data in IoT for Oil & Gas 2020 - 2025
  • Figure 26: Big Data in IoT for Retail Industry 2020 - 2025
  • Figure 27: Big Data in IoT for ICT Industry 2020 - 2025
  • Figure 28: Big Data in IoT for Transport and Cargo 2020 - 2025
  • Figure 29: Big Data in IoT for Utilities 2020 - 2025
  • Figure 30: IoT Data Exchange Marketplace
  • Figure 31: Phase 1: Limited IoT Data Sharing with no Formalized Mediation
  • Figure 32: Phase 2: IoT Data Sharing between Limited Industries
  • Figure 33: Phase 3: IoT Data across Industries and between Competitors

Tables

  • Table 1: Big Data in Internet of Things 2020 - 2025
  • Table 2: Market for Big Data in IoT by Solution Type 2020 - 2025
  • Table 3: Market for Big Data in IoT by Hardware, Software, and Services 2020 - 2025
  • Table 4: Big Data in IoT Products and Services 2020 - 2025
  • Table 5: Market for Big Data Collection in IoT 2020 - 2025
  • Table 6: Regional Markets for Big Data Collection in IoT 2020 - 2025
  • Table 7: Big Data Storage in IoT Market 2020 - 2025
  • Table 8: Regional Markets for Big Data Storage Infrastructure in IoT 2020 - 2025
  • Table 9: Big Data Analytics and Applications in IoT Market 2020 - 2025
  • Table 10: Regional Markets for Big Data Analytics and Applications in IoT 2020 - 2025
  • Table 11: Big Data as a Service in IoT Market 2020 - 2025
  • Table 12: Regional Markets for Big Data as a Service in IoT 2020 - 2025
  • Table 13: Big Data in IoT by Industry Vertical 2020 - 2025
  • Table 14: IoT Data Analytics Revenue by Solution and Services 2020 - 2025