Industrial IoT: Future Market Outlook, Technology Analysis & Key Players 2020-2025

• Market Overview: Includes analysis of key and emerging technologies, including:
  • Artificial Intelligence & Machine Learning
  • Cellular (2G, 3G, 4G, 5G)
  • Digital Twins
  • Edge Computing & Cloud Computing
  • Industrial Robotics
  • Licensed LPWA Networks (NB-IoT and LTE-M)
  • Private Cellular Networks
  • RFID (Radio Frequency Identification)
  • Unlicensed Networks (LoRaWAN)
  • Wi-Fi 6
• Emerging Business Models & Development Opportunities: Contains a sector-specific market analysis of the use of Industrial IoT within key verticals. The analysis focuses on the key market opportunities and explores the challenges facing service deployment. This is split by:
  • Agriculture
  • Energy & Utilities
  • Logistics
  • Manufacturing
  • Mining
  • Oil & Gas
• Juniper Research Leaderboard: 15 platform providers compared, scored and positioned on the Juniper Research Leaderboard, including:
  • ABB
  • Alibaba Cloud
  • Bosch
  • Cisco
  • GE (General Electric)
  • Hitachi Vantara
  • Huawei
  • IBM
  • Intel
  • Microsoft
  • Nokia
  • Oracle
  • PTC
  • SAP
  • Software AG
• Benchmark Industry Forecasts: Market segment forecasts for Industrial IoT adoption for the aforementioned industrial segments, including:
  • Sensor Installed Base
  • Sensor Shipments
  • Hardware Revenue
  • Software Platform Revenue

1. What will the total value of the Industrial IoT market be by 2025?
2. Which vendors are the leading providers of Industrial IoT platform solutions?
3. What emerging business models best position Industrial IoT service providers to capitalise on market growth?
4. How can Industrial IoT service providers overcome prominent market challenges?
5. Which sectors will experience the most significant uptake of Industrial IoT solutions?

Case Studied: Worcestershire 5G Consortium, Rio Tinto.

Included in Juniper Research Leaderboard: ABB, Alibaba Cloud, Bosch, Cisco, GE (General Electric), Hitachi Vantara, Huawei, IBM, Intel, Microsoft, Nokia, Oracle, PTC, SAP, Software AG.

Mentioned: Accenture, Adobe, Alibaba Group, AT&T, AWS (Amazon Web Services), AWTG, BT, Capgemini, China Mobile, Cognizant, CPC Corp, Davra, Dell, Deloitte, Edison General Electric Company, EPA (Environmental Protection Agency), Equinix, Ericsson, European Commission for Energy, Climate Change & Environment, FMCSA (Federal Motor Carrier Safety Administration), Fujitsu, Hitachi, Infosys,  LoRa Alliance, Marubeni, NHTSA (National Highway Traffic Safety Administration), Norsk Hydro, NRW Holdings, O2, Optus, PWC, QinteiQ, Qualcomm, Semtech, SFR, Sigfox, SK hynix, smaXtec, Swisscom, Tata Consultancy Services, Tech Mahindra, Telefónica, Telenor, Thomson-Houston, T-Mobile, UN, University of Surrey, US Energy Information Administration, Verizon, Vodafone, Worcester Bosch, Worcestershire Local Enterprise Partnership, Yamazaki Mazak.

Juniper Research’s Industrial Internet of Things forecast suite includes:

• Data splits for 8 key global regions and 19 countries, including:
  • Australia
  • Brazil
  • Canada
  • China
  • Denmark
  • France
  • Germany
  • India
  • Japan
  • Mexico
  • Netherlands
  • Norway
  • Portugal
  • Saudi Arabia
  • South Korea
  • Spain
  • Sweden
  • UK
  • US
• Juniper Research provides Industrial IoT forecasts for:
  • Total Number of Sensors
  • Total Hardware Revenue
  • Total Software Revenue
  • Total Market Value
• These forecasts are repeated for each of the following industries:
  • Agriculture
  • Energy & Utilities
  • Logistics
  • Manufacturing
  • Mining
  • Oil & Gas
• Access to the full set of forecast data of 89 tables and over 17,500 datapoints.
• Interactive Excel Scenario tool allowing the user to manipulate Juniper Research’s data for five different metrics.

Juniper Research’s highly granular IFxls (Interactive Forecasts 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.