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智能電網：主要商機/挑戰/市場預測（2022-2027）
市場調查報告書
商品編碼
1163410

智能電網：主要商機/挑戰/市場預測（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個工作天內

價格
簡介目錄

到 2027 年，智能電網部署帶來的全球成本節約預計將超過 1250 億美元，高於 2022 年的 330 億美元以上。 這一 279% 的增長將受到能源價格上漲的推動，智能電網技術有望在提高網絡效率和優化資源管理方面發揮關鍵作用。 基於人工智能的分析能力對於通過主動平衡負載和優化能量傳輸來最大化新可再生能源的優勢至關重要。

主要市場統計數據

2022 年市場規模 330 億美元
2027 年市場規模 1250 億美元
2022-2027 年增長 279%

在這份報告中，我們對全球智能電網市場進行了調查，包括引入智能電網的好處和挑戰、智能電網的普及率、各種收入、出貨量、節能規模的預測以及引入智能電網帶來的成本降低量，它總結了主要公司和競爭環境，按地區進行詳細分析，未來展望等。

我們的研究包提供什麼

  • 市場趨勢和策略 (PDF)
  • 競爭對手排行榜 (PDF)
  • 數據和預測（PDF 和 Excel）
  • 12 個月訪問在線數據平台

數據和互動預測

  • 智能電網普及率
  • 智能電網軟件支出
  • 通過引入智能電網實現節能和降低成本的規模
  • 運行中的智能電錶數量
  • 已發貨的智能電錶數量
  • 智能電錶硬件收入
  • 智能電錶連接收入
  • 智能電錶連接故障：2G、3G、4G、5G、LTE-M、NB-IoT

市場趨勢與策略

第一章重點/戰略建議

第 2 章智能電網：市場格局

  • 智能電網的主要組成部分
    • 網絡
    • 支持技術/設備
    • 微電網
    • 智能電網軟件架構
  • 引入智能電網的好處
  • 智能電錶市場的現狀
  • 電網電池
  • 引入智能電網的挑戰

第三章智能電網：區域分析與未來展望

  • 智能電網：區域分析和未來前景
    • 北美
    • 拉丁美洲
    • 西歐
    • 中歐和東歐
    • 印度次大陸
    • 遠東/中國
    • 日本
    • 亞太其他地區
    • 非洲/中東
    • 以色列
    • 智能電網和智能電錶的未來展望簡介

競爭對手排行榜

第一章選手排行榜

  • 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

數據與預測

第一章市場概況及研究方法

第2章智能電網市場預測

  • 智能電網軟件收入
  • 智能電網節能規模（太瓦時）
  • 通過智能電網節省成本

第三章智能電錶市場預測

  • 運行中的智能電錶數量
  • 已發貨的智能電錶數量
  • 智能電錶硬件收入
  • 智能電錶連接收入
  • 智能電錶總收入
簡介目錄

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