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IoTにおけるエッジプロセッシング:市場戦略・課題・将来の展望 2019-2024年

Edge Processing in IoT: Market Strategies, Challenges and Future Outlook 2019-2024

発行 Juniper Research 商品コード 876611
出版日 ページ情報 英文
納期: 即日から翌営業日
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IoTにおけるエッジプロセッシング:市場戦略・課題・将来の展望 2019-2024年 Edge Processing in IoT: Market Strategies, Challenges and Future Outlook 2019-2024
出版日: 2019年06月25日 ページ情報: 英文
概要

当レポートは、エッジプロセッシング市場の起源、課題、メリット、主な促進要因および将来の展望について包括的に調査しており、主要ステークホルダーの詳細評価を提供しています。

提供内容

  • 市場動向 & ベンダー戦略 (PDF)
  • 5ヵ年の市場規模 & 予測スプレッドシート (Excel)
  • 12ヵ月間のオンラインデータプラットフォームへのアクセス

主な内容

  • 競合情勢:エッジプロセッシングを提供する主要企業の詳細分析
  • 市場ダイナミクス:エッジプロセッシングの導入と発展を形成する主要な促進因子、課題、およびイノベーションの戦略分析
  • インタビュー:IoT・エッジプロセッシングに関する専門家
    • SAP
    • Oracle
    • AdLink
  • 市場分析:主要8地域におけるモバイルエッジコンピューティングおよびフォグコンピューティングへの年間支出分析 (2019-2024年)
  • 産業予測のベンチマーク:市場規模・成長率の予測
    • モバイルエッジコンピューティングへの年間支出:地域別
    • モバイルエッジコンピューティングへの年間オペレーター支出:地域別
    • モバイルエッジコンピューティングにおけるノード展開数:地域別
    • フォグコンピューティングへの年間支出:地域別
    • フォグコンピューティングにおけるビジネス展開数:地域別
  • Juniper Research Leaderboard :エッジプロセッシングを提供する15社の比較、Juniper Research Leaderboard上のスコア、ポジション

データ & インタラクティブ予測

  • 主要メトリクスを用いた5年間のベンチマーク予測:主要8地域
目次

Overview

Juniper Research's ‘Edge Processing in IoT’ research provides a comprehensive evaluation of the origin, challenges, advantages, key drivers and future outlook of the Edge processing market. It offers an in-depth assessment of the key stakeholders; including start-ups, IT leaders and advanced technological innovations, such as AI and machine learning algorithms, that are collectively shaping Edge processing.

This research provides crucial insights for industries, particularly manufacturing, transport, utilities and telecommunications, which face a critical, significant need to collate, process and analyse data in real-time at the source of data generation, to facilitate intelligent decision making.

This report has also been produced to help the aforementioned industries deepen their understanding of the different strengths, opportunities and weaknesses of Edge processing services and products presented by the following players:

  • Bosch
  • Amazon Web Services
  • Telit
  • AdLink
  • WICASTR
  • Nymea
  • VMware
  • Eurotech
  • Rigado
  • FogHorn
  • SWIM AI
  • Litmus Automation
  • VMWare
  • Interactor
  • ClearBlade

This research explores which industries seek to gain significantly from utilising Edge processing, as well as analyses which key players and factors are driving adoption of this technology.

This research suite includes:

  • Market Trends & Vendor Strategies (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months' access to harvest online data platform

Key Features

  • Competitive Landscape: In-depth analysis of key players offering Edge processing; Juniper Research explores:
    • The strengths of these players' Edge processing business models
    • Industry experiences and assets that are collectively supporting adoption of their Edge processing services and products by different industries, companies, markets and/or regions
  • Market Dynamics: Strategic analysis of the major drivers, challenges and innovations shaping the adoption and development of Edge processing:
    • Enhancing the value of Edge processing through technological innovation
    • The future strategic direction and market outlook for Edge processing
    • Key issues organisations must address to adopt and advance Edge processing
  • Interviews: With experts on IoT and Edge processing from the following organisations:
    • SAP
    • Oracle
    • AdLink
  • Market Analysis: Analysis of annual spend on Mobile Edge Computing and Fog computing during 2019-2024, split by 8 key regions
  • Benchmark Industry Forecasts: Key forecasts for size and growth of the market, including:
    • Total Annual Spend on Mobile Edge Computing by region
    • Total Annual Operator Spend on Mobile Edge Computing by region
    • Total Number of Mobile Edge Computing Nodes deployed by region
    • Total Annual Spend on Fog Computing by region
    • Total Number of Businesses that have deployed Fog Computing by region
  • Juniper Research Leaderboard: 15 players offering Edge processing compared, scored and positioned on the Juniper Research Leaderboard.

Key Questions

  • 1. What is Edge processing and how is its significance developing in IoT?
  • 2. Which regions and markets are spending the most annually on Edge computing by 2024?
  • 3. What will the total annual spend on Fog computing by 2024?
  • 4. Which key players are offering Edge processing and what are the strengths and strategic opportunities of these players in this field?
  • 5. What are the challenges that industries must consider when utilising Edge processing?
  • 6. What is the opportunity for mobile operators in Edge processing?

Companies Referenced

  • Interviewed: Adlink, Oracle, SAP, Siemens.
  • Profiled: Adlink, AWS, Bosch, ClearBlade, Eurotech, FogHorn, Interactor, Lutmus Automation, Nymea, Rigado, Siemens, Swim, Telit, VMware, WICASTR.
  • Mentioned: Accenture, Akamai, Alibaba, AMAX, Amazon, AMD, Annapurna, Apple, ARM, Arrow Electronics, AT&T, Atos, Avnet, Baidu, Bluetooth, BNSF Railway, BSquare, C3.ai, Canonical, CBRE, CenturlyLink, China Telecom, Cisco, Corvalent, Dell, Deutsche Telekom, Digi International, Digi Key, DigiCert, Digital International, EBRD (European Bank for Reconstruction and Development), Eclipse IoT, EdgeTensor, EdgeX Foundry, EnBW, ETSI (European Telecommunications Standards Institute), European Union, FUJISOFT, Fujitsu, Future Electronics, General Electric, Google, guh, Gyrfalcon Technology , Haltian, Hitachi, HOLMER, HP, HPE, Huawei, Hudson Yards, IBM, Intel, Klika, Kontakt, KPN, Lanner Electronics, Lenovo, LG Electronics, LiPPERT, Losant, MacroBloc, MConnected, Microsoft, Mitsubishi, Molex Automotive, Mongoose, Mouser Electronics, Nanotron Technologies, NextBus, Nissan, Nordic Semiconductor, NTT DoCoMo, NVIDIA, NXP Semiconductors, OCP (Open Compute Project), Octonion, Omnetric Group, Onset, Open Fog Consortium, Panasonic, Penta, PICMG (PCI Industrial Computer Manufacturers Group), Primetals Technologies, Prismtech, PTC Kepware, Qualcomm Technologies, Rackspace, Radius Networks, Raspberry Pi, Redhat, Renault, Rexel, ROS-Industrial Consortium, Ruuvi, Samsung, SAS, SGET (Standardization Group for Embedded Technologies), SK Telekom, SMIGHT, SoftBank, Stanley Black & Decker, STMicroelectronics, Sweet Blue, Technicolor, Telefonica, Telstra, The Linux Foundation, Thread Group, Tieto, T-Mobile, Unbuntu, United Nations, Verizon, VH, Virtustream, Vodafone, Vue.ai, Wapmag, Westburne, Windriver, WiPro, Wirepas, Wistron, Xnor.ai, Zhuzhou China, ZTE.

Data & Interactive Forecast

Juniper Research's ‘Edge Processing’ forecast suite includes:

5-year benchmark forecasts with key metrics by 8 key regions:

  • Number of businesses deploying Edge Computing; Annual Spend on Mobile Edge Computing by region, Annual Operator Spend on Mobile Edge Computing by region; Number of Mobile Edge Computing Nodes in Operation by region: Annual Spend on Fog Computing by region; Number of Businesses that have deployed Fog Computing by region
  • Interactive Excel Scenario tool allowing the user to manipulate Juniper's data for 7 different metrics
  • Access to the full set of forecast data of 44 tables and more than 5800 datapoints

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Deploying Edge Processing in IoT

  • 1.1. Introduction: What is Edge Computing?
    • 1.1.1. Edge Computing & IoT
    • 1.1.2. Early Introductions of Edge Computing
      • Table 1.1: Key Cloud & Edge Computing Developments, 1998-2012
    • 1.1.3. Edge Computing vs Fog Computing
      • Figure 1.2: Fog Computing Architecture
      • Figure 1.3: Different Layers of Computing in IoT Systems, 2019
    • 1.1.4. Using AI & ML to Enhance the Processing Intelligence of Edge Devices
      • Table 1.4: Select Edge AI Operating Start-Ups, 2016-2018
    • 1.1.5. Drivers & Challenges of Using Edge Processing
      • i. Drivers
        • Table 1.5: Advantages of Using Edge Processing
      • ii. Challenges
        • Table 1.6: Major Challenges in Deploying Edge Processing

2. Future Outlook for Edge Processing

  • 2.1. Future Outlook for Edge Processing
    • 2.1.1. The Rise of AI in Edge Processing
    • 2.1.2. AI Edge Processing Start-ups
    • 2.1.3. Edge Computing Start-ups & Technology Leaders Collaborate
    • 2.1.4. 5G's Role in AI Edge Processing
    • 2.1.5. The Role of Mobile Operators in Edge Processing
    • 2.1.6. Technology Leaders Enhance their Edge Computing Capabilities
      • Table 2.1: Select Edge Computing Developments, 2017-2018

3. Edge Processing: Vendor Analysis & Competitor Landscape

  • 3.1. Introduction
    • Table 3.1: Edge Platform Processing Provider Capability Assessment Criteria
    • 3.1.1. Leaderboard Scoring Results
      • Table 3.2: Juniper Research Leaderboard Scoring Matrix: Capability & Capacity vs Product & Position
      • Figure 3.3: Juniper Research Leaderboard: Edge Processing Vendors
    • 3.1.2. Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
    • 3.1.1. Limitations & Interpretation
  • 3.2. Vendor Profiles
    • 3.2.1. VMware
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View Offerings
        • Table 3.5: VMare's AirWatch & Vrealize Automation Offerings
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.2. AWS
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Table 3.6: Three Drivers Behind the Launch of AWS Greengrass
        • Figure 3.7: AWS Greengrass Business Model
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.3. Siemens
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Table 3.8: Three Key Functions of Siemen's IDEP Offering
        • Figure 3.9: Siemens Industrial Edge Management Business Model
        • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.4. Rigado
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
        • Table 3.10: IoT partners of Rigado
      • iv. High Level View Offerings
        • Figure 3.11: Rigado's Cascade Edge-as-a-Service Platform
        • Figure 3.12: Rigado Cascade-500 IoT Gateway
        • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.5. Adlink
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Table 3.13: Aspects of Adlink End-to-End Edge IoT Solution
        • Table 3.14: Adlink Major Acquisitions, 2008-2015
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.6. Eurotech
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Figure 3.15: Eurotech Edge-to-Cloud IoT Solution Framework
        • Table 3.16: Operating Principles of Eurotech's Everyware Cloud IoT Solution Framework
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.7. WICASTR
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Figure 3.17: Core Activities of WICASTR's SMART Edge Platform
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.8. FogHorn
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Table 3.18: Key Features of FogHorn Lightning Platform
        • Figure 3.19: FogHorn Platform Business Model
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.9. ClearBlade
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
        • Table 3.20: ClearBlade: Select Major Partnerships
      • iv. High Level View Offerings
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.10. Bosch
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Figure 3.21: Overview of Bosch IoT Gateway
        • Table 3.22: Select Sectors & Companies using Bosch IoT Gateway Software for Edge processing
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.11. Litmus Automation
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
        • Figure 3.23: Litmus Automation Partners, 2013-2019
      • iv. High Level View Offerings
        • Table 3.24: Litmus Automation Edge IoT Products
        • Figure 3.25: Litmus Automation's LoopEdge & Loop Function
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.12. Nymea
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Figure 3.26: Nymea IoT Operating System
        • Table 3.27: Key Components of Nymea
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.13. Interactor
      • i. Corporate
        • Table 3.28: Interactor Key Developments, 2014-2018
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
      • iv. High level View Offering
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.14. Telit
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
      • v. Juniper's View: Key Strengths & Strategic Opportunities
    • 3.2.15. Swim
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Partnerships
      • iv. High Level View Offerings
        • Table 3.29: Features of Swim's EDX Open Source Platform
        • Figure 3.30: Swim AI Business Model for Building Scalable Streaming Applications
      • v. Juniper's View: Key Strengths & Strategic Opportunities

4. Edge Processing: Market Forecast Summary

  • 4.1. Introduction
  • 4.2. Methodology & Assumptions
    • 4.2.1. Base Methodology
    • 4.2.2. MEC
    • 4.2.3. Fog Computing
      • Figure 4.1: Edge Processing Forecasting Methodology
  • 4.3. Total Market Summary
    • 4.3.1. Total Annual Spend on Mobile Edge Computing
      • Figure & Table 4.2: Total Annual Mobile Edge Computing Spend ($m), Split by 8 Key Regions 2019-2024
    • 4.3.2. Total Annual Operator MEC Spend
      • Figure & Table 4.3: Total Annual Mobile Edge Computing Spend ($m), Split By 8 Key Regions, 2019-2024
    • 4.3.3. Total number of MEC Nodes in Operation
      • Figure & Table 4.4: Total Number of Deployed MEC Nodes (m), Split by 8 Key Regions 2019-2024
    • 4.3.4. Total Annual Spend on Fog Computing
      • Figure & Table 4.5: Total Annual Spend on Fog Computing ($m), Split by 8 Key Regions, 2019-2024
    • 4.3.5. Total Number of Businesses that have Deployed Fog Computing
      • Figure & Table 4.6: Total Number of Businesses Deploying Fog Computing (000), Split by 8 Key Regions, 2019-2024
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