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사물인터넷(IoT)에서의 빅데이터 : IoT 데이터 관리, 애널리틱스, 의사결정(2019-2024년)

Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2019 - 2024

리서치사 Mind Commerce
발행일 2019년 09월 상품 코드 328425
페이지 정보 영문 234 Pages
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사물인터넷(IoT)에서의 빅데이터 : IoT 데이터 관리, 애널리틱스, 의사결정(2019-2024년) Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2019 - 2024
발행일 : 2019년 09월 페이지 정보 : 영문 234 Pages

IoT에서의 빅데이터는 기존의 빅데이터 인프라 이상의 강건성, 기동성, 확장성을 갖춘 플랫폼, 분석 툴, 데이터 스토리지 시스템을 필요로 합니다. IoT 데이터 그 자체는 제품 개발, 공급 격차 확인, 미대응 수요에 대한 대응을 위해 매우 중요한 매체이며, IoT에서 이용되는 빅데이터 및 애널리틱스는 IoT 생태계와 IoT 비지니스 전체의 실현요인이 될 전망입니다.

사물인터넷(IoT)에서 빅데이터의 역할과 관련 제품 및 서비스 시장을 조사했으며, IoT에서 빅데이터의 중요성, 새로운 프로토콜·플랫폼·소프트웨어·분석 툴 등의 필요성, 벤더의 생태계, IoT 빅데이터의 솔루션·하드웨어·소프트웨어·서비스 등의 시장 규모 추정과 예측, 제품 서비스 구분·산업별 내역, 주요 기업 개요 등을 정리했습니다.

제1장 서론

제2장 IoT에서의 빅데이터

  • IoT용 빅데이터 체계
  • 새로운 프로토콜, 플랫폼, 스트리밍 및 파싱, 소프트웨어 및 분석 툴의 필요성
    • 유니파이드 로깅 레이어
      • Fluentd
    • IoT 데이터 포맷과 빅데이터
      • JavaScript Object Notation
    • IoT 프로토콜과 빅데이터
      • 메시지 큐잉 등
    • 네트워크의 상호운용성을 위한 IoT 프로토콜과 빅데이터
      • 데이터 배포 서비스
    • IoT 데이터 처리의 확장성과 빅데이터
  • IoT에서 빅데이터의 과제

제3장 IoT에서의 빅데이터 : 사업 동향과 예측

  • 대규모 사업자의 제휴와 M&A
  • 주류화하는 IoT용 Big-data-as-a-Service(BDaaS)
  • M2M 애널리틱스 및 클라우드 서비스 : 조기 수익자
  • 빅데이터 서비스용 플렉서블 및 스케일러블 수익 모델
  • 빅데이터의 운용상 절감과 새로운 비지니스

제4장 벤더의 생태계

  • 클라우드 기반 IoT용 애널리틱스 플랫폼
  • 클라우드 기반 데이터 스토리지 서비스 및 관리 툴
  • 대량 데이터 분석용 빅데이터 처리
  • 네트워크 엣지의 데이터 연산, 스토리지, 분석
  • 예측 플랫폼 및 솔루션
  • 클라우드 기반 IoT용 애널리틱스 시스템
  • 데이터베이스 시스템의 업그레이드와 발전
  • 애널리틱스 플랫폼의 업그레이드와 발전
  • 실시간 DDS와 종합적 메시징 플랫폼

제5장 IoT에서의 빅데이터 : 시장 분석과 예측

  • 시장 성장 촉진요인
  • 세계 시장 예측
  • IoT 빅데이터 솔루션
  • IoT 빅데이터 하드웨어, 소프트웨어, 서비스
  • IoT 빅데이터 제품, 서비스
    • 빅데이터 회수
    • 빅데이터 스토리지
    • 빅데이터 애널리틱스 및 애플리케이션
    • Big-data-as-a-Service(BDaaS)
  • IoT에서의 빅데이터 : 산업별
    • 빌딩 자동화
    • 가전제품
    • 금융 서비스
    • 정부
    • 헬스케어
    • 제조
    • 석유 및 가스
    • 소매
    • 통신(ICT)
    • 운송 및 화물
    • 유틸리티

제6장 주요 기업

KSM 18.12.17

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

Overview:

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 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 than conventional IoT and thus will requires 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 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 begins to take advantage of new business opportunities such as syndicating their own data.

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 2019 through 2024.

Report Benefits:

  • Forecasts (global, regional, and by industry) to 2024
  • 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

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

Companies in Report:

  • 1010Data (Advance Communication Corp.)
  • Accenture
  • Actian Corporation
  • Alteryx
  • Amazon
  • Anova Data
  • Apache Software Foundation
  • Aptean (Formerly CDC Software)
  • Booz Allen Hamilton
  • Bosch Software Innovations
  • Capgemini
  • Cisco Systems
  • Cloudera
  • Computer Science Corporation (CSC)
  • Cray Inc.
  • Datadirect Network
  • Dell EMC
  • Deloitte
  • Facebook
  • Fujitsu
  • General Electric
  • Gooddata Corporation
  • Google
  • Guavus
  • Hitachi Data Systems
  • Hortonworks
  • HP Enterprise
  • IBM
  • Informatica
  • Intel
  • Jasper (Cisco Jasper)
  • Juniper Networks
  • Longview
  • Marklogic
  • Microsoft
  • Microstrategy
  • Mongodb (Formerly 10Gen)
  • Mu Sigma
  • Netapp
  • NTT Data
  • Open Text (Actuate Corporation)
  • Opera Solutions
  • Oracle
  • Pentaho (Hitachi)
  • Qlik Tech
  • Quantum
  • Rackspace
  • Revolution Analytics
  • Salesforce
  • Sap
  • Sisense
  • Software Ag/Terracotta
  • Splunk
  • Sqrrl
  • Supermicro
  • Tableau Software
  • Tata Consultancy Services
  • Teradata
  • Think Big Analytics
  • Tibco
  • Verint Systems
  • Vmware (Part Of EMC)
  • Workday (Platfora)
  • SAS Institute
  • Wipro

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 2019 - 2025
  • 5.3. Global Big Data Solutions in IoT Market 2019 - 2025
  • 5.4. Global Big Data in IoT Hardware, Software, and Services 2019 - 2025
  • 5.5. Global Big Data in IoT Products and Services 2019 - 2025
    • 5.5.1. Market for Big Data Collection in IoT 2019 - 2025
    • 5.5.2. Market for Big Data Storage in IoT 2019 - 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 2019 - 2025
    • 5.6.1. Big Data in IoT for Building Automation 2019 - 2025
    • 5.6.2. Big Data in IoT for Consumer Electronics 2019 - 2025
    • 5.6.3. Big Data in IoT for Financial Services 2019 - 2025
    • 5.6.4. Big Data in IoT for Government 2019 - 2025
    • 5.6.5. Big Data in IoT for Healthcare 2019 - 2025
    • 5.6.6. Big Data in IoT for Manufacturing 2019 - 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 2019 - 2025
    • 5.6.9. Big Data in IoT for ICT Industry 2019 - 2025
    • 5.6.10. Big Data in IoT for Transport and Cargo 2019 - 2025
    • 5.6.11. Big Data in IoT for Utilities Industry 2019 - 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 2019 - 2024
  • Figure 8: Big Data in IoT by Solution 2019 - 2024
  • Figure 9: Big Data in IoT Products and Services 2019 - 2024
  • Figure 10: Market for Big Data Collection in IoT 2019 - 2024
  • Figure 11: Regional Markets for Big Data Collection in IoT 2019 - 2024
  • Figure 12: Big Data Storage in IoT Market 2019 - 2024
  • Figure 13: Regional Market for Big Data Storage in IoT 2019 - 2024
  • Figure 14: Big Data Analytics and Applications in IoT Market 2019 - 2024
  • Figure 15: Regional Markets for Big Data Analytics and Applications in IoT 2019 - 2024
  • Figure 16: Big Data as a Service in IoT Market 2019 - 2024.
  • Figure 17: Regional Markets for Big Data as a Service in IoT 2019 - 2024
  • Figure 18: Big Data in IoT by Industry Vertical 2019 - 2024.
  • Figure 19: Big Data in IoT for Building Automation 2019 - 2024
  • Figure 20: Big Data in IoT for Consumer Electronics 2019 - 2024
  • Figure 21: Big Data in IoT for Financial Services 2019 - 2024
  • Figure 22: Big Data in IoT for Government 2019 - 2024
  • Figure 23: Big Data in IoT for Healthcare 2019 - 2024
  • Figure 24: Big Data in IoT for Manufacturing 2019 - 2024
  • Figure 25: Big Data in IoT for Oil &Gas 2019 - 2024
  • Figure 26: Big Data in IoT for Retail Industry 2019 - 2024
  • Figure 27: Big Data in IoT for ICT Industry 2019 - 2024
  • Figure 28: Big Data in IoT for Transport and Cargo 2019 - 2024
  • Figure 29: Big Data in IoT for Utilities 2019 - 2024.
  • 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 2019 - 2024
  • Table 2: Market for Big Data in IoT by Solution Type 2019 - 2024
  • Table 3: Market for Big Data in IoT by Hardware, Software, and Services 2019 - 2024
  • Table 4: Big Data in IoT Products and Services 2019 - 2024
  • Table 5: Market for Big Data Collection in IoT 2019 - 2024.
  • Table 6: Regional Markets for Big Data Collection in IoT 2019 - 2024
  • Table 7: Big Data Storage in IoT Market 2019 - 2024
  • Table 8: Regional Markets for Big Data Storage Infrastructure in IoT 2019 - 2024
  • Table 9: Big Data Analytics and Applications in IoT Market 2019 - 2024
  • Table 10: Regional Markets for Big Data Analytics and Applications in IoT 2019 - 2024
  • Table 11: Big Data as a Service in IoT Market 2019 - 2024.
  • Table 12: Regional Markets for Big Data as a Service in IoT 2019 - 2024
  • Table 13: Big Data in IoT by Industry Vertical 2019 - 2024.
  • Table 14: IoT Data Analytics Revenue by Solution and Services 2019 - 2024
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