表紙
市場調查報告書

IoT的邊緣處理:市場策略、課題、未來展望 2019-2024年

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

出版商 Juniper Research Ltd 商品編碼 876611
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
Back to Top
IoT的邊緣處理:市場策略、課題、未來展望 2019-2024年 Edge Processing in IoT: Market Strategies, Challenges and Future Outlook 2019-2024
出版日期: 2019年06月25日內容資訊: 英文
簡介

本報告提供邊緣處理市場起源,課題,優點,關於主要的促進因素及未來展望的總括性調查,主要相關利益者詳細評估。

提供內容

  • 市場趨勢 & 供應商策略 (PDF)
  • 5年的市場規模 & 預測試算表 (Excel)
  • 12個月內的線上資料平台的點閱存取

主要的內容

  • 競爭情形:提供邊緣處理的主要企業的詳細分析
  • 市場動態:邊緣處理的引進與發展形成的主要促進要素,課題,及革新的策略分析
  • 採訪:IoT、邊緣處理相關專家
    • SAP
    • Oracle
    • AdLink
  • 對市場分析:主要8個地區的行動邊緣運算及霧運算的年度支出分析 (2019-2024年)
  • 產業預測的基準:市場規模、成長率的預測
    • 對行動邊緣運算的年度支出:各地區
    • 對行動邊緣運算的年度業者支出:各地區
    • 行動邊緣運算的節點展開數:各地區
    • 對霧運算的年度支出:各地區
    • 霧運算的商務展開數:各地區
  • Juniper Research Leaderboard :提供邊緣處理的15家公司比較,Juniper Research Leaderboard上的評分,地位

資料 & 互動預測

  • 使用了主要標準的5年的基準預測:主要8個地區
目錄

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
Back to Top