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智能电网：主要商机/挑战/市场预测（2022-2027）
市场调查报告书
商品编码
1163410

智能电网：主要商机/挑战/市场预测（2022-2027）

Smart Grid: Key Opportunities, Challenges & Market Forecasts 2022-2027
出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2个工作天内

价格
简介目录

到 2027 年，智能电网部署带来的全球成本节约预计将超过 1250 亿美元，高于 2022 年的 330 亿美元以上。 这一 279% 的增长将受到能源价格上涨的推动，智能电网技术有望在提高网络效率和优化资源管理方面发挥关键作用。 基于人工智能的分析能力对于通过主动平衡负载和优化能量传输来最大化新可再生能源的优势至关重要。

主要市场统计数据

2022 年市场规模 330 亿美元
2027 年市场规模 1250 亿美元
2022-2027 年增长 279%

在这份报告中，我们对全球智能电网市场进行了调查，包括引入智能电网的好处和挑战、智能电网的普及率、各种收入、出货量、节能规模的预测以及引入智能电网带来的成本降低量，它总结了主要公司和竞争环境，按地区进行详细分析，未来展望等。

我们的研究包提供什么

  • 市场趋势和策略 (PDF)
  • 竞争对手排行榜 (PDF)
  • 数据和预测（PDF 和 Excel）
  • 12 个月访问在线数据平台

数据和互动预测

  • 智能电网普及率
  • 智能电网软件支出
  • 通过引入智能电网实现节能和降低成本的规模
  • 运行中的智能电錶数量
  • 已发货的智能电錶数量
  • 智能电錶硬件收入
  • 智能电錶连接收入
  • 智能电錶连接故障：2G、3G、4G、5G、LTE-M、NB-IoT

市场趋势与策略

第一章重点/战略建议

第 2 章智能电网：市场格局

  • 智能电网的主要组成部分
    • 网络
    • 支持技术/设备
    • 微电网
    • 智能电网软件架构
  • 引入智能电网的好处
  • 智能电錶市场的现状
  • 电网电池
  • 引入智能电网的挑战

第三章智能电网：区域分析与未来展望

  • 智能电网：区域分析和未来前景
    • 北美
    • 拉丁美洲
    • 西欧
    • 中欧和东欧
    • 印度次大陆
    • 远东/中国
    • 日本
    • 亚太其他地区
    • 非洲/中东
    • 以色列
    • 智能电网和智能电錶的未来展望简介

竞争对手排行榜

第一章选手排行榜

  • ABB
  • CISCO Systems
  • Eaton
  • eSmart Systems
  • Fujitsu
  • General Electric
  • Honeywell
  • IBM Corporation
  • Itron
  • Landis+Gry AG
  • Johnson Controls
  • Oracle Corporation
  • Panasonic Corporation
  • Robert Bosch GmbH
  • Schneider Electric
  • Siemens AG
  • Tantalus
  • Wipro

数据与预测

第一章市场概况及研究方法

第2章智能电网市场预测

  • 智能电网软件收入
  • 智能电网节能规模（太瓦时）
  • 通过智能电网节省成本

第三章智能电錶市场预测

  • 运行中的智能电錶数量
  • 已发货的智能电錶数量
  • 智能电錶硬件收入
  • 智能电錶连接收入
  • 智能电錶总收入
简介目录

Juniper Research's latest “Smart Grid research” provides in-depth analysis and evaluation of how the requirements of the energy grid are rapidly changing, and how technology is rising to meet challenges by introducing advanced, AI-enabled analytics; promising potential benefits to smart grids. The report delivers critical and actionable insights on the state of digitalisation, key smart grid vendors driving the evolution of the market and their future prospects. The study contains the Juniper Research Competitor Leaderboard; positioning 18 key smart grid vendors.

The “Smart Grid market research” reports provide incisive and detailed analysis, and a wide range of valuable insights of the key trends driving smart grid adoption and efficient power sources within advanced IT infrastructure, benefits of deployments and challenges with further roll-outs. It also features a comprehensive forecast suite of the economic growth of technological advancements in the market; encompassing utility grid modernisation for the following key factors:

  • Smart grid adoption and the resulting software spend, energy savings and cost savings.
  • Smart metering adoption and the resulting shipments, hardware revenue and connectivity revenue.

This research suite comprises:

  • Market Trends & Strategies (PDF)
  • Competitor Leaderboard (PDF)
  • Data & Forecasts (PDF & Excel)
  • 12 Months' Access to harvest Online Data Platform

Key Market Statistics

Market size in 2022:$33bn
Market size in 2027:$125bn
2022 to 2027 Growth:279%

KEY FEATURES

  • Market Dynamics: Provides a detailed assessment of how the smart grid market share and market growth is evolving, what benefits it can deliver and what the barriers are to future growth within smart city projects in the energy sector.
  • Future Outlook & Regional Analysis: Future outlook and comprehensive analysis of the key countries and regions deploying smart grid technologies in smart grid network management, encapsulated by our future outlook for deployment.
  • Key Takeaways & Strategic Recommendations: Featuring major opportunities and crucial factors for smart grid vendors highlighted across the smart grid landscape; making for important reading for key stakeholders, including smart grid vendors, utility companies and governments.
  • Benchmark Industry Forecasts: 5-year forecasts are provided for smart grid adoption, software spend, energy savings and cost savings. Additionally, smart metering forecasts are included, such as the number of smart meters in service, the shipments of smart meters, hardware revenue, connectivity revenue, and connectivity splits, including 2G, 3G, 4G, 5G, LTE-M (Long-term Evolution Machine-type Communication) and NB-IoT (Narrowband Internet of Things). The regional market revenue forecast data is also split by 8 forecast regions and 60 countries:
    • North America:
      • Canada, US
    • Latin America:
      • Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay
    • West Europe:
      • Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, UK
    • Central & East Europe:
      • Croatia, Czech Republic, Hungary, Poland, Romania, Russia, Turkey, Ukraine
    • Far East & China:
      • China, Hong Kong, Japan, South Korea
    • Indian Subcontinent:
      • Bangladesh, India, Nepal, Pakistan
    • Rest of Asia Pacific:
      • Australia, Indonesia, Malaysia, New Zealand, Philippines, Singapore, Thailand, Vietnam
    • Africa & Middle East:
      • Algeria, Egypt, Israel, Kenya, Kuwait, Nigeria, Qatar, Saudi Arabia, South Africa, United Arab Emirates
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 18 smart grid vendors, via the Juniper Research Competitor Leaderboard featuring major players in smart grid systems:
    • ABB
    • CISCO Systems Inc.
    • Eaton
    • eSmart Systems
    • Fujitsu
    • General Electric
    • Honeywell
    • IBM Corporation
    • Itron
    • Johnson Controls
    • Landis+Gyr AG
    • Oracle Corporation
    • Panasonic Corporation
    • Robert Bosch GmbH
    • Schneider Electric
    • Siemens AG
    • Tantalus
    • Wipro

KEY QUESTIONS ANSWERED

  • 1. What regions are leading the adoption of the smart grid?
  • 2. What are the major benefits that can be realised via smart grid deployments?
  • 3. What is the anticipated market size for the smart grid in 2027?
  • 4. Which vendors will drive progress in the market and what will their strategies be?
  • 5. What types of connectivity will be leveraged to power the smart grid?

COMPANIES REFERENCED

  • Included in Juniper Research Competitor Leaderboard: ABB, CISCO Systems, Eaton, eSmart Systems, Fujitsu, General Electric, Honeywell, IBM Corporation, Itron, Landis+Gyr AG, Johnson Controls, Oracle Corporation, Panasonic Corporation, Robert Bosch GmbH, Schneider Electric, Siemens AG, Tantalus, Wipro.
  • Mentioned: Accenture, Aclara, Adobe, Airbus, Alibaba, Allmanna Svenska Elektriska Aktiebolaget, Alteryx, American Electric Power, Anthem, Appalachian Electric Coop, Arrow Electronics, Aspern Smart City Research, AT&T, AusNet Services, Avista Utilities, AWS (Amazon Web Services), Badger Meter, Baltimore Gas and Electric, BKW Group Switzerland, Blue Yonder, Boeing, BrightRidge Utility, Brown, Boveri & Cie, Carnegie Mellon University, Caterpillar, CenterPoint Energy, Chase Centre, Chevron, Cielis, Citrix Systems, Clevest, CLK Enerji, Cobham Mission Systems, Cognizant, ComEd, Commvault, Congruitive, CPS Energy, CVS, Dassault Systémes, Deloitte, Dropbox, Duke Energy Sustainable Solutions, E.ON, EDMI Limited, Enedis, Enel, Energy Queensland, Entegrus, EPB Chattanooga, EQUANS, Esri, Evergy, Exceleron, Exelon, Exxon Mobil, Fingrid, First Energy, Flexera, FogHorn, Fortinet, General Motors, Glitre Energi Nett, Google, Green Motion, Hewlett Packard, Intel, Itron, Jiangsu Yineng Electric, KAPES, Kärnten Netz GmbH Austria, Keele University, Kentucky Utilities Company, Laclede Electric Coop, Lamb County EC, Lenovo, Lidl, Louisville Gas and Electric Company, Luna, Meta, Microsoft, Missouri University of Science and Technology, Mitnetz Storm, Mitsubishi Heavy Industries, Mongo DB, MySQL, National Grid, Naturgy Xcel Energy, Network Rail, NextGen Utility Solutions, NineStar Connect, Nissan, Northeastern REMC, Northern Ireland Electricity Networks, Oklahoma Gas and Electric Company, Oncor, Opus One, Philadelphia Museum of Art, Polaris, PTC, Pulaski Electric System, Qlik, Red Hat, Royal Power Solutions, Saint John Energy, Salesforce, SAP, Silver Spring Networks, Southern Company, Statnett, Stedin.net, Swiss Axpo, Tableau Software, Tampa Electric, Tata Consultancy Services, Telefónica, Tenable Network Security Inc, Tennet, Tesla, Thales, Tibco, TINT, Toshiba, Tripp Lite, True Energy, Upwork, UtiliSmart, Verico, Verizon, VMWare, Western Power Australia, Xcel Energy.

DATA & INTERACTIVE FORECAST

Juniper Research's “Smart Grid” forecast suite includes:

  • Smart grid adoption
  • Smart grid software spend
  • Energy savings and cost savings from smart grid adoption
  • Number of smart meters in service
  • Shipments of smart meters
  • Smart meter hardware revenue
  • Smart meter connectivity revenue
  • Smart meter connectivity splits, including 2G, 3G, 4G, 5G, LTE-M and NB-IoT
  • Geographical splits: 60 countries
  • Number of tables: 46 tables
  • Number of datapoints: Over 20,900 datapoints

harvest: Our online data platform, harvest, contains the very latest market data and is updated throughout the year. This is a fully featured platform enabling clients to better understand key data trends and manipulate charts and tables; overlaying different forecasts within the one chart - using the comparison tool. Empower your business with our market intelligence centre, and receive alerts whenever your data is updated.

Interactive Excels (IFxl): Our IFxl tool enables clients to manipulate both forecast data and charts, within an Excel environment, to test their own assumptions using the interactive scenario tool and compare selected markets side by side in customised charts and tables. IFxls greatly increase a client's ability to both understand a particular market and to integrate their own views into the model.

FORECAST SUMMARY

Cost savings from smart grid deployments will exceed $125 billion globally in 2027; increasing from just over $33 billion in 2022. This 279% growth will be driven by rising energy prices, with smart grid technologies playing a critical role in increasing network efficiency and optimising resource management. The abilities of AI-based analytics are crucial to maximising benefits of new renewable energy sources, by actively balancing load and optimising energy transmission.

  • Smart grid deployments are key to the decarbonisation of electricity production. Smart grids will enable energy sources that produce electricity based on external elements, such as solar and wind power, to meet energy requirements more effectively, by actively balancing load and predicting surges in demand & production.
  • By leveraging AI, electricity networks can ensure that spikes in demand are predicted and mitigated. Smart grid vendors must focus on enhancing their models to more accurately predict usage patterns to maximise these benefits.
  • Smart grid deployments will result in an almost 700 million MMT (Million Metrics Tons) reduction in CO2e (Carbon Dioxide Equivalent) emissions globally in 2027; falling from 214 million in 2022. This will be central to meeting stringent climate change goals, alongside updating generation capabilities to feature more renewable sources, including wind and solar.
  • Smart grid vendors must develop data ingestion engines that can analyse and interpret structured and unstructured data from disparate sources, including smart meters, network data and weather forecasts, to maximise emission reductions

Table of Contents

Market Trends & Strategies

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Smart Grid - Market Landscape

  • 2.1. Introduction
    • Figure 2.1: Smart Grid Example
    • Figure 2.2: Smart Grid Network Layer
  • 2.2. Key Areas in the Organisation of Smart Grid
    • 2.2.1. Networks in Smart Grid:
      • i. Technologies/Networks Merging Communication Infrastructure for Smart Grid
    • 2.2.2. Enabling Technologies & Devices
    • 2.2.3. Microgrid
    • 2.2.4. Smart Grid Software Architecture
      • Figure 2.3: Smart Grid Technologies and Resources Across Systems
  • 2.3. The Benefits of Smart Grid Deployment
    • Figure 2.4: Smart Grid Benefits
  • 2.4. Smart Metering Market Status
    • Figure 2.5: Traditional Smart Metering Infrastructure
  • 2.5. Grid Battery Storage
    • Figure 2.6: Grid Battery Storage Overview
  • 2.6. Challenges to Smart Grid Deployment

3. Smart Grid: Regional Analysis and Future Outlook

  • 3.1. Smart Grid: Regional Analysis and Future Outlook
    • 3.1.1. North America
      • i. US
        • Figure 3.1: Smart Meter Deployments by State, April 2022, as a Percentage of Customers
      • ii. Canada
    • 3.1.2. Latin America
      • i. Brazil
      • ii. Mexico
    • 3.1.3. West Europe
      • i. Germany
        • Figure 3.2: Installed Net Power Generation Capacity
      • ii. Italy
        • Figure 3.3: Gross Consumption of Electricity Generated by Renewable Sources, 2010-2020, Italy
      • iii. UK
    • 3.1.4. Central & East Europe
      • i. Poland
        • Figure 3.4: Renewable Energy in Total Energy Consumption in Poland (2000-2020)
      • ii. Turkey
    • 3.1.5. Indian Subcontinent
      • i. India
    • 3.1.6. Far East & China
      • i. China
      • ii. South Korea
    • 3.1.7. Japan
      • Figure 3.5: Share of Renewables and Nuclear Power in Japan's Electricity Supply and Demand in 2021
    • 3.1.8. Rest of Asia Pacific
      • i. Australia
    • 3.1.9. Africa & Middle East
      • i. South Africa
    • 3.1.10. Israel
    • 3.1.11. Future Outlook of Smart Grid and Smart Meter Deployments

Competitor Leaderboard

1. Competitor Leaderboard

  • 1.1. Why Read This Report
    • Table 1.1: Juniper Research Competitor Leaderboard: Smart Grid Vendors Included & Product Portfolio
    • Figure 1.2: Juniper Research Competitor Leaderboard: Smart Grid Vendors
    • Table 1.3: Juniper Research Competitor Leaderboard: Smart Grid Vendors & Positioning
    • Table 1.4: Juniper Research Competitor Leaderboard Heatmap: Smart Grid Vendors
    • 1.1.1. ABB
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.2. CISCO Systems
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.3. Eaton
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 1.5: Brightlayer Suite Components
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.4. eSmart Systems
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.5. Fujitsu
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.6. General Electric
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 1.6: GE EnergyAPM Software
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.7. Honeywell
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 1.7: DemandSites Reporting and Analytics
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.8. IBM Corporation
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.9. Itron
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.10. Landis+Gry AG
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.11. Johnson Controls
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 1.8: OpenBlue Platform
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.12. Oracle Corporation
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.13. Panasonic Corporation
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.14. Robert Bosch GmbH
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.15. Schneider Electric
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.16. Siemens AG
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 1.9: Siemens Xcelerator for Grids
      • v. Juniper Research's View: Strategic Recommendations & Key Opportunities
    • 1.1.17. Tantalus
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients and Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 1.1.18. Wipro
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 1.2. Juniper Research Leaderboard Assessment Methodology
    • 1.2.1. Limitations & Interpretations
      • Table 1.10: Juniper Research Competitor Leaderboard Factors

Data & Forecasting Table of Contents

1. Market Overview & Methodology

  • 1.1. Introduction
  • 1.2. Smart Grid: Forecast Methodology & Assumptions
    • Figure 1.1: Smart Grid Forecast Methodology
    • Figure 1.2: Smart Metering Forecast Methodology

2. Smart Grid Market Forecasts

  • 2.1. Introduction
    • 2.1.1. Smart Grid Software Revenue
      • Figure & Table 2.3: Smart Grid Annual Software Spend ($m), Split by 8 Key Regions, 2022-2027
    • 2.1.2. Smart Grid Energy Savings
      • Figure & Table 5.3: Smart Grid Energy Saving (TWh), Split by 8 Key Regions, 2022-2027
    • 2.1.3. Smart Grid Cost Savings
      • Figure & Table 5.3: Total Smart Grid Energy & Emissions Cost Savings ($m), Split by 8 Key Regions, 2022-2027

3. Smart Metering Market Forecasts

  • 3.1.1. Introduction
  • 3.1.2. Smart Meters in Service
    • Figure & Table 5.2: Smart Meters in Service (m), Split by 8 Key Regions, 2022-2027
  • 3.1.3. Smart Meter Shipments
    • Figure & Table 5.2: Total Smart Meter Hardware Shipments (m), Split by 8 Key Regions, 2022-2027
  • 3.1.4. Smart Meter Hardware Revenue
    • Figure & Table 5.2: Total Hardware Revenue from Smart Meters ($m), Split by 8 Key Regions, 2022-2027
  • 3.1.5. Smart Meter Connectivity Revenue
    • Figure & Table 5.2: Total Connectivity and Enablement Revenue for Smart Metering ($m), Split by 8 Key Regions, 2022-2027
  • 3.1.6. Smart Meter Total Revenue
    • Figure & Table 5.2: Total Smart Metering Revenue ($m), Split by 8 Key Regions, 2022-2027