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全球智慧電網市場評估：按網路領域、組件、應用、地區、機會、預測（2016-2030）
市場調查報告書
商品編碼
1415579

全球智慧電網市場評估：按網路領域、組件、應用、地區、機會、預測（2016-2030）

Smart Grid Market Assessment, By Network Area, By Components, By Applications, By Region, Opportunities, and Forecast, 2016-2030F
出版日期: | 出版商: Market Xcel - Markets and Data | 英文 360 Pages | 商品交期: 3-5個工作天內

價格

全球智慧電網市場近年來呈現顯著成長，預計未來將保持強勁成長軌跡。市場規模預計將從2022年的521.9億美元增加至2030年的2,185.8億美元，2023-2030年預測期間複合年增長率為19.61%。由於行業投資的增加以及智慧電錶、電動車充電器和其他基礎設施發展等先進技術的引入，預計該市場將會成長。這些技術發展預計將在未來幾年推動市場擴張。此外，由於能源需求增加、再生能源併網、電網現代化活動和電網彈性等因素，對智慧電網的需求正在迅速增加。

世界各地的許多電網正在老化，並面臨基礎設施老化帶來的挑戰。變壓器、變電站和電力線等組件可能需要更換或升級。現代化工作透過採用先進技術和更有效率的設備來幫助解決這些基礎設施問題。

先進的先進智慧電網技術的出現

先進智慧電網技術的出現徹底改變了能源領域。這些尖端技術顯著提高了傳統電網的能力，實現更有效率、可靠和永續的能源分配。先進智慧電網技術最著名的例子之一是先進計量基礎設施 (AMI) 的引入。AMI 主要部署用於住宅用途，由一個至少每小時測量和記錄用電量的電錶組成。這些儀表每天向公用事業公司和客戶提供收集的數據。AMI 設備的範圍從每小時記錄能源使用情況的基本電錶到具有內建雙向通訊功能的高級電錶。這些先進的儀表可以立即擷取和傳輸即時數據。此外，美國被認為是世界第二大電力生產國。根據美國能源資訊署統計，2021年，美國公用事業公司安裝了約1.11億個高級計量基礎設施（AMI）單元，約佔安裝電錶總數的69%。這些 AMI 安裝的大部分（約 88%）來自住宅客戶。此外，AMI 電錶約佔所有住宅電錶的 69%。因此，可以說，像AMI這樣的高度先進的智慧電網技術的出現正在顯著提高全球智慧電網市場的成長率。

智慧城市計畫持續發展

隨著智慧城市計畫的擴大，對包括智慧電網在內的先進能源管理系統的需求正在顯著增長。整合多個系統以及即時監控和分析數據的需求正在推動智慧電網解決方案的採用。此外，智慧城市的本質是利用即時數據來提高生活水平並培育可持續的未來。智慧城市計畫最合理的例子之一是韓國松島國際城。松島曾經是黃海填海造地的沿海地區，如今已迅速轉變為智慧城市，並贏得了 "世界最智慧城市" 的美譽。智慧城市概念圍繞著使用即時數據來提高生活品質和永續性。該市的中央商務區是 G 塔的所在地，它是中央控制中心。G 塔配備了廣泛的閉路電視攝影機網絡，可監控各種狀況，包括交通流量、建築溫度和緊急應變協調。

亞太地區主導全球智慧電網市場

亞太地區主導全球智慧電網市場。該地區處於智慧電網部署的前沿，中國、日本、印度和韓國等國家正在進行大量投資和活動。賦予亞太地區優勢的因素包括政府措施、對能源效率的需求增加、電網可靠性的提高以及再生能源的整合。研發方面的大量投資正在推動創新和市場成長，使亞太地區成為智慧電網領域的領導者。中國、印度和日本等政府正在大力投資，實現能源基礎設施現代化並促進智慧電網的採用。

本報告研究分析了全球智慧電網市場，提供市場規模和預測、市場動態、主要參與者趨勢和前景等。

目錄

第一章研究方法論

第二章 專案範圍與定義

第三章 COVID-19 對全球智慧電網市場的影響

第四章 俄烏戰爭的影響

第 5 章執行摘要

第六章 客戶評價

  • 受訪者人口統計
  • 電力公司積極推動智慧電網導入
  • 智慧電網部署的障礙
  • 為什麼要實施智慧電網？
  • 採用智慧電網系統
  • 升級智慧電網基礎設施所需的投資
  • 尋求支持的地區
  • 提高品牌知名度
  • 售後支援

第七章 全球智慧電網市場展望（2016-2030）

  • 市場規模及預測
    • 金錢數額
    • 數量
  • 按網路區域
    • HAN
    • NAN
    • WAN
    • LoRaWAN
    • 其他
  • 按組件
    • 硬件
    • 軟件
  • 按用途
    • 配電自動化
    • 轉換率
    • 變電所自動化
    • 進階測量基礎設施 (AMI)
    • 其他
  • 按地區
    • 北美
    • 歐洲
    • 南美洲
    • 亞太地區
    • 中東/非洲

第八章全球智慧電網市場展望：按地區（2016-2030）

  • 亞太地區
    • 按網路區域
    • 按組件
    • 按用途
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳大利亞
    • 印度尼西亞
    • 菲律賓
    • 越南
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 法國
    • 意大利
    • 英國
    • 俄羅斯
    • 荷蘭
    • 西班牙
    • 土耳其
    • 波蘭
  • 南美洲
    • 巴西
    • 阿根廷
  • 中東/非洲
    • 沙特阿拉伯
    • 南非
    • 阿拉伯聯合酋長國

第九章市場測繪（2022）

  • 按網路區域
  • 按組件
  • 按軟體子類別
  • 依硬體子類別
  • 按用途
  • 按地區

第十章 宏觀環境與產業結構

  • 供需分析
  • 供應/價值鏈分析
  • PESTLE分析
  • 波特五力分析

第十一章市場動態

  • 增長動力
  • 生長抑制因素
  • 電網當前和未來的挑戰

第十二章 主要公司狀況

  • 前 5 名市場領導者的競爭矩陣
  • 前 5 名市場領導者的市場收入分析（2022 年）
  • 併購/合作
  • 專利分析

第13章價格分析

第14章案例研究

第十五章 主要公司展望

  • Schneider Electric SE
  • General Electric Company (GE Grid Solutions)
  • Cisco Systems, Inc.
  • IBM Corporation
  • Siemens AG
  • Wipro Limited
  • Honeywell International, Inc.
  • Oracle Corporation
  • Itron, Inc
  • Hitachi Energy Ltd

第十六章 策略建議

第十七章 關於我們公司、免責聲明

Product Code: MX10156

The Smart Grid market has experienced significant growth in recent years and is expected to maintain a strong growth trajectory in the coming years. Valued at USD 52.19 billion in 2022, the market is projected to reach USD 218.58 billion by 2030, reflecting a notable CAGR of 19.61% during the forecasted period from 2023 to 2030. The market is expected to experience growth due to the rising investments in the industry and the implementation of advanced technologies like smart meters, electric vehicle chargers, and other infrastructure advancements. These technological developments are projected to propel the expansion of the market in the upcoming years. Moreover, the demand for smart grids is rapidly increasing due to factors such as growing energy demand, renewable energy integration, grid modernization initiatives, grid resilience, etc.

Many power grids around the world are outdated and face challenges due to aging infrastructure. Components such as transformers, substations, and power lines may need replacement or upgrades. Modernization initiatives help address these infrastructure issues by incorporating advanced technologies and more efficient equipment. One of the most prominent examples of a modernization initiative is Schneider Electric SE's EcoStruxure Advanced Distribution Management System (ADMS). Schneider Electric SE's EcoStruxure ADMS offers a comprehensive network management solution that encompasses monitoring, analysis, control, optimization, planning, and training tools. It operates on a unified representation of the entire electric distribution network. By merging Distribution Management Systems (DMS), Outage Management Systems (OMS), and Supervisory Control and Data Acquisition (SCADA) functionalities, EcoStruxure ADMS combines over 50 advanced functions. This integration enables the maximization of benefits derived from intelligent grid devices, distributed renewable energy sources, advanced metering, and other smart grid components.

The Advent of Highly Advanced Smart Grid Technologies

The emergence of highly advanced smart grid technologies has revolutionized the energy sector. These cutting-edge technologies have significantly enhanced the capabilities of traditional power grids, enabling more efficient, reliable, and sustainable energy distribution. One of the most prominent examples of highly advanced smart grid technology is the implementation of Advanced Metering Infrastructure (AMI). AMI is mostly attributed to residential customers, and it consists of meters that measure and document electricity consumption at intervals of at least one hour. These meters supply the collected data to both the utility company and the customer daily. The range of AMI installations varies, starting from basic meters that record energy usage at hourly intervals, up to advanced meters with built-in two-way communication capabilities. These sophisticated meters could capture and transmit real-time data instantly. Moreover, the United States is regarded as the 2nd largest electricity producer in the world. As per the United States Energy Information Administration, in 2021, electric utilities in the United States had approximately 111 million installations of advanced metering infrastructure (AMI), representing around 69% of all electric meter installations. Most of these AMI installations, around 88%, were attributed to residential customers. Additionally, AMI meters accounted for approximately 69% of all residential electric meters. Hence it can be stated that the advent of highly advanced smart grid technologies like AMI is amplifying the Smart Grid market growth rate extensively across the globe.

Continuous Development of Smart City Projects

As smart city projects expand, the demand for advanced energy management systems, including smart grids, grows significantly. The integration of multiple systems and the need for real-time data monitoring and analysis drive the adoption of smart grid solutions. Moreover, the essence of a smart city lies in harnessing real-time data to elevate the standards of living and foster a sustainable future. One of the most appropriate examples of smart city projects is Songdo International City in South Korea. Once a coastal area reclaimed from the Yellow Sea, Songdo has rapidly transformed into a smart city, earning the reputation as the "Smartest City in the World." The concept of a smart city revolves around utilizing real-time data to enhance the quality of life and sustainability. At the heart of the city's Central Business District lies the G-Tower, serving as the central control hub. Equipped with an extensive network of CCTV cameras, the G-Tower monitors various aspects such as traffic flow, building temperatures, emergency response coordination, etc.

Asia-Pacific Dominates the Global Market for Smart Grid

Asia-Pacific has been dominating the global smart grid market. The region has been at the forefront of smart grid deployments, with significant investments and initiatives in countries like China, Japan, India, and South Korea. Factors contributing to Asia-Pacific dominance include government initiatives, increased demand for energy efficiency, improved grid reliability, and integration of renewable energy sources. The high investments in research and development drive innovation and market growth, thereby making the Asia-Pacific region a frontrunner in the smart grid sector. Governments in countries like China, India, and Japan are heavily investing in modernizing their energy infrastructure, fostering smart grid adoption.

The Asia-Pacific region is expected to dominate the global smart grid market by 2030, with a market value reaching USD 65.84 billion by 2030, registering a CAGR of over 20.36% during the forecasted period. This is due to the larger population density in countries like China and India, strong government support for smart grid infrastructure integration, and the region's focus on renewable energy.

Government Initiatives

The government of several nations has played a crucial role in fostering the growth of the smart grid market. By recognizing the significance of modernizing the electricity infrastructure and promoting sustainable energy practices, governments have implemented various policies and initiatives to support the development and adoption of smart grid technologies. For instance, the National Smart Grid Mission was issued by the Indian government. The objective of the Indian power sector's transformation is to create a secure, sustainable, and digitally enabled ecosystem. This includes implementing smart grid technology to facilitate distributed generation, especially rooftop solar, through bidirectional energy flow and net metering. The smart grid enables real-time monitoring, grid automation, and active consumer participation, fostering reliable energy access, sustainable growth of renewable resources, and energy conservation. Moreover, it aligns with the mission of providing reliable and quality energy for all stakeholders while promoting a greener energy ecosystem.

Impact of COVID-19 on Global Smart Grid Market

The COVID-19 pandemic had a positive as well as a negative impact on the worldwide smart grid market. On one hand, it has accelerated the digitization of energy systems, emphasizing the importance of remote operations and reliable electricity supply, leading to increased interest and investment in smart grid technologies. On the other hand, the pandemic also caused delays in project deployments due to disrupted supply chains and construction activities. The crisis has highlighted the significance of resilient energy systems, with smart grids recognized as essential for ensuring grid stability and quick response to disruptions. Moreover, financial constraints resulting from the economic downturn have affected the ability of utilities and governments to invest in smart grid projects, leading to some market slowdowns. Changes in electricity consumption patterns during the pandemic posed challenges for demand response programs but also emphasized the importance of demand flexibility. Moreover, increased awareness of energy efficiency and the adoption of smart meters and energy management systems has driven interest in energy-saving measures and smart grid solutions. Overall, while the pandemic has presented obstacles, the need for resilient and efficient energy systems remains paramount, and as economies recover, the demand for smart grid technologies is expected to rebound, driven by the focus on grid resilience, energy efficiency, and remote monitoring capabilities.

Impact of the Russia-Ukraine War

The Russia-Ukraine war led to disruptions in energy supply, which in turn has highlighted the importance of energy diversification and resilient infrastructure, prompting countries and energy companies to consider investing more in smart grid technologies. Geopolitical uncertainty arising from the conflict-affected investment decisions and business confidence, potentially impacting the overall investment climate for smart grid projects. Moreover, energy security concerns have been amplified, particularly in Europe, emphasizing the need for advanced energy management systems like smart grids to enhance security by diversifying energy sources and improving integration capabilities. Furthermore, policy and regulatory changes resulting from the conflict also influenced the smart grid market as governments prioritized grid resilience and diversification.

Table of Contents

1. Research Methodology

2. Project Scope & Definitions

3. Impact of COVID-19 on Global Smart Grid Market

4. Impact of Russia Ukraine War

5. Executive Summary

6. Voice of Customer

  • 6.1. Respondent Demographics
  • 6.2. Utilities Actively Pursuing Smart Grid Implementation
  • 6.3. Obstacle Hindering Smart Grid Deployments
  • 6.4. Reasons For Smart Grid Implementation
  • 6.5. Smart Grid Systems Employed
  • 6.6. Investments Needed to Upgrade Smart Grid Infrastructure
  • 6.7. Area To Seek Assistance
  • 6.8. Aided Brand Awareness
  • 6.9. After-Sales Support

7. Global Smart Grid Market Outlook, 2016-2030F

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
    • 7.1.2. By Volume
  • 7.2. By Network Area
    • 7.2.1. Home Area Network
    • 7.2.2. Neighbourhood Area Network
    • 7.2.3. Wide Area Network
    • 7.2.4. Long Range Wide Area Network
    • 7.2.5. Others
  • 7.3. By Components
    • 7.3.1. Hardware
      • 7.3.1.1. Smart Sensors
      • 7.3.1.2. Smart Power Meters
      • 7.3.1.3. Super Conducting Cables
      • 7.3.1.4. Integrated communications
      • 7.3.1.5. Phasor Measurement Units
      • 7.3.1.6. Others
    • 7.3.2. Software
      • 7.3.2.1. Smart Energy Management System
      • 7.3.2.2. Demand Response Management System
      • 7.3.2.3. Distribution Management Systems
      • 7.3.2.4. Outage Management Systems
  • 7.4. By Application
    • 7.4.1. Distribution Automation
    • 7.4.2. Conservation Voltage Reduction
    • 7.4.3. Substation Automation
    • 7.4.4. Advanced Metering Infrastructure
    • 7.4.5. Others
  • 7.5. By Region
    • 7.5.1. North America
    • 7.5.2. Europe
    • 7.5.3. South America
    • 7.5.4. Asia-Pacific
    • 7.5.5. Middle East and Africa

8. Global Smart Grid Market Outlook, By Region, 2016-2030F

  • 8.1. Asia-Pacific*
    • 8.1.1. By Network Area
      • 8.1.1.1. Home Area Network
      • 8.1.1.2. Neighbourhood Area Network
      • 8.1.1.3. Wide Area Network
      • 8.1.1.4. Long Range Wide Area Network
      • 8.1.1.5. Others
    • 8.1.2. By Components
      • 8.1.2.1. Hardware
      • 8.1.2.1.1. Smart Sensors
      • 8.1.2.1.2. Smart Power Meters
      • 8.1.2.1.3. Super Conducting Cables
      • 8.1.2.1.4. Integrated communications
      • 8.1.2.1.5. Phasor Measurement Units
      • 8.1.2.1.6. Others
      • 8.1.2.2. Software
      • 8.1.2.2.1. Smart Energy Management System
      • 8.1.2.2.2. Demand Response Management System
      • 8.1.2.2.3. Distribution Management Systems
      • 8.1.2.2.4. Outage Management Systems
    • 8.1.3. By Application
      • 8.1.3.1. Distribution Automation
      • 8.1.3.2. Conservation Voltage Reduction
      • 8.1.3.3. Substation Automation
      • 8.1.3.4. Advanced Metering Infrastructure
      • 8.1.3.5. Others
    • 8.1.4. China*
      • 8.1.4.1. By Network Area
      • 8.1.4.1.1. Home Area Network
      • 8.1.4.1.2. Neighbourhood Area Network
      • 8.1.4.1.3. Wide Area Network
      • 8.1.4.1.4. Long Range Wide Area Network
      • 8.1.4.1.5. Others
      • 8.1.4.2. By Components
      • 8.1.4.2.1. Hardware
      • 8.1.4.2.1.1. Smart Sensors
      • 8.1.4.2.1.2. Smart Power Meters
      • 8.1.4.2.1.3. Super Conducting Cables
      • 8.1.4.2.1.4. Integrated communications
      • 8.1.4.2.1.5. Phasor Measurement Units
      • 8.1.4.2.1.6. Others
      • 8.1.4.2.2. Software
      • 8.1.4.2.2.1. Smart Energy Management System
      • 8.1.4.2.2.2. Demand Response Management System
      • 8.1.4.2.2.3. Distribution Management Systems
      • 8.1.4.2.2.4. Outage Management Systems
      • 8.1.4.3. By Application
      • 8.1.4.3.1. Distribution Automation
      • 8.1.4.3.2. Conservation Voltage Reduction
      • 8.1.4.3.3. Substation Automation
      • 8.1.4.3.4. Advanced Metering Infrastructure
      • 8.1.4.3.5. Others
    • 8.1.5. Japan
    • 8.1.6. India
    • 8.1.7. South Korea
    • 8.1.8. Australia
    • 8.1.9. Indonesia
    • 8.1.10. Philippines
    • 8.1.11. Vietnam

All segments will be provided for all regions and countries covered:

  • 8.2. North America
    • 8.2.1. United States of America
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. Europe
    • 8.3.1. Germany
    • 8.3.2. France
    • 8.3.3. Italy
    • 8.3.4. United Kingdom
    • 8.3.5. Russia
    • 8.3.6. Netherlands
    • 8.3.7. Spain
    • 8.3.8. Turkey
    • 8.3.9. Poland
  • 8.4. South America
    • 8.4.1. Brazil
    • 8.4.2. Argentina
  • 8.5. Middle East & Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. South Africa
    • 8.5.3. UAE

9. Market Mapping, 2022

  • 9.1. By Network Area
  • 9.2. By Component
  • 9.3. By Software Sub-category
  • 9.4. By Hardware Sub-category
  • 9.5. By Application
  • 9.6. By Region

10. Macro Environment and Industry Structure

  • 10.1. Supply Demand Analysis
  • 10.2. Supply/Value Chain Analysis
  • 10.3. PESTLE Analysis
    • 10.3.1. Political Factors
    • 10.3.2. Economic System
    • 10.3.3. Social Implications
    • 10.3.4. Technological Advancements
    • 10.3.5. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
    • 10.3.6. Environmental Impacts
  • 10.4. Porter's Five Forces Analysis

11. Market Dynamics

  • 11.1. Growth Drivers
  • 11.2. Growth Inhibitors
  • 11.3. Current and Future Challenges For Electricity Grids

12. Key Players Landscape

  • 12.1. Competition Matrix of Top Five Market Leaders
  • 12.2. Market Revenue Analysis of Top Five Market Leaders (in %, 2022)
  • 12.3. Mergers and Acquisitions/Partnerships
  • 12.4. Patent Analysis

13. Pricing Analysis

14. Case Studies

15. Key Players Outlook

  • 15.1. Schneider Electric SE
    • 15.1.1. Company Details
    • 15.1.2. Key Management Personnel
    • 15.1.3. Key Market Focus & Geographical Presence
    • 15.1.4. Products & Services
    • 15.1.5. Financials (As reported)
    • 15.1.6. Recent Developments
  • 15.2. General Electric Company (GE Grid Solutions)
  • 15.3. Cisco Systems, Inc.
  • 15.4. IBM Corporation
  • 15.5. Siemens AG
  • 15.6. Wipro Limited
  • 15.7. Honeywell International, Inc.
  • 15.8. Oracle Corporation
  • 15.9. Itron, Inc
  • 15.10. Hitachi Energy Ltd

16. Strategic Recommendations

17. About Us & Disclaimer

List of Tables

  • Table 01: Global Smart Grid Market - Competition Matrix of Market Leaders, 2023

List of Figures

  • Figure 1: Respondents By Region
  • Figure 2: Respondents By Type Of Industries
  • Figure 3: Respondents By Company Size
  • Figure 4: Smart Grid Implementation (%)
  • Figure 5: Obstacle Hindering Smart Grid
  • Figure 6: Reasons For Smart Grid Implementation (%)
  • Figure 6.1: Reasons For Smart Grid Implementation (%)
  • Figure 7: Smart Grid Systems Employed (%)
  • Figure 8: Investments Needed To Upgrade Electricity Grid Infrastructures
  • Figure 9 Areas In Which Utilities Will Likely Seek Assistance (%)
  • Figure 10: Aided Brand Awareness (%)
  • Figure 11: After-sales Support (%)
  • Figure 12: Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 13: Smart Grid, By Volume, In USD Billion, 2016-2030F
  • Figure 14: Smart Grid Market Share, By Network Area, By Value Share, In %, 2016-2030F
  • Figure 15: Smart Grid Market Share, By Components, By Value Share, In %, 2016-2030F
  • Figure 16: Smart Grid Market Share, By Hardware Sub-category, By Value Share, In %, 2016-2030F
  • Figure 17: Smart Grid Market Share, By Software Sub-category, By Value Share, In %, 2016-2030F
  • Figure 18: Smart Grid Market Share, By Application, By Value Share, In %, 2016-2030F
  • Figure 19: Smart Grid Market share, By Region, By Value Share, In %, 2016-2030F
  • Figure 20: Asia Pacific Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 21: Asia Pacific Smart Grid Market Share, By Network Area, By Value Share, In %, 2016-2030F
  • Figure 22: Asia Pacific Smart Grid Market Share, By Components, By Value Share, In %, 2016-2030F
  • Figure 23: Asia Pacific Smart Grid Market Share, By Hardware Sub-category, By Value Share, In %, 2016-2030F
  • Figure 24: Asia Pacific Smart Grid Market Share, By Software Sub-category, By Value Share, In %, 2016-2030F
  • Figure 25: Asia Pacific Smart Grid Market Share, By Application, By Value Share, In %, 2016-2030F
  • Figure 26: Asia Pacific Smart Grid Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 27: China Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 28: Japan Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 29: India Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 30: South Korea Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 31: Australia Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 32: Indonesia Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 33: Philippines Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 34: Vietnam Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 35: North America Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 36: North America Smart Grid Market Share, By Network Area, By Value Share, In %, 2016-2030F
  • Figure 37: North America Smart Grid Market Share, By Components, By Value Share, In %, 2016-2030F
  • Figure 38: North America Smart Grid Market Share, By Hardware Sub-category, By Value Share, In %, 2016-2030F
  • Figure 39: North America Smart Grid Market Share, By Software Sub-category, By Value Share, In %, 2016-2030F
  • Figure 40: North America Smart Grid Market Share, By Application, By Value Share, In %, 2016-2030F

Figure41: North America Smart Grid Market share, By Region, By Value Share, In %, 2016-2030F

  • Figure 42: United States Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 43: Canada Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 44: Mexico Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 45: Europe Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 46: Europe Smart Grid Market Share, By Network Area, By Value Share, In %, 2016-2030F
  • Figure 47: Europe Smart Grid Market Share, By Components, By Value Share, In %, 2016-2030F
  • Figure 48: Europe Smart Grid Market Share, By Hardware Sub-category, By Value Share, In %, 2016-2030F
  • Figure 49: Europe Smart Grid Market Share, By Software Sub-category, By Value Share, In %, 2016-2030
  • Figure 50: Europe Smart Grid Market Share, By Application, By Value Share, In %, 2016-2030F
  • Figure 51: Europe Smart Grid Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 52: Germany Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 53: France Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 54: Italy Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 55: United Kingdom Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 56: Russia Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 57: Netherlands Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 58: Spain Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 59: Turkey Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 60: Poland Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 61: South America Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 62: South America Smart Grid Market Share, By Network Area, By Value Share, In %, 2016-2030F
  • Figure 63: South America Smart Grid Market Share, By Components, By Value Share, In %, 2016-2030F
  • Figure 64: South America Smart Grid Market Share, By Hardware Sub-category, By Value Share, In %, 2016-2030F
  • Figure 65: South America Smart Grid Market Share, By Software Sub-category, By Value Share, In %, 2016-2030F
  • Figure 66: South America Smart Grid Market Share, By Application, By Value Share, In %, 2016-2030F
  • Figure 67: South America Smart Grid Market share, By Region, By Value Share, In %, 2016-2030F
  • Figure 68: Brazil Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 69: Argentina Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 70: Middle East & Africa Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 71: Middle East & Africa Smart Grid Market Share, By Network Area, By Value Share, In %, 2016-2030F
  • Figure 72: Middle East & Africa Smart Grid Market Share, By Components, By Value Share, In %, 2016-2030F
  • Figure 73: Middle East & Africa Smart Grid Market Share, By Hardware Sub-category, By Value Share, In %, 2016-2030F
  • Figure 74: Middle East & Africa Smart Grid Market Share, By Software Sub-category, By Value Share, In %, 2016-2030F
  • Figure 75: Middle East & Africa Smart Grid Market Share, By Application, By Value Share, In %, 2016-2030F
  • Figure 76: Middle East & Africa Smart Grid Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 77: Saudi Arabia Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 78: South Africa Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 79: United Arab Emirates Smart Grid, By Value, In USD Billion, 2016-2030F
  • Figure 80: By Network Area Map-Market Size (USD Billion, 2022) & Growth Rate (%, 2023E-2030F)
  • Figure 81: By Component Map-Market Size (USD Billion, 2022) & Growth Rate (%, 2023E-2030F)
  • Figure 82: By Software Sub-Category Map-Market Size (USD Billion, 2022) & Growth Rate (%, 2023E-2030F)
  • Figure 83: By Hardware Sub-Category Map-Market Size (USD Billion, 2022) & Growth Rate (%, 2023E-2030F)
  • Figure 84: By Application Map-Market Size (USD Billion, 2022) & Growth Rate (%, 2023E-2030F)
  • Figure 85: By Region Map-Market Size (USD Billion, 2022) & Growth Rate (%, 2023E-2030F)
  • Figure 86: Total Group Revenues of Top Ten Players, in USD Billion, 2022
  • Figure 87: MARKET SHARE OF TOP FIVE COMPANIES (IN %, 2022)