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全球智慧电网市场评估：按网路领域、组件、应用、地区、机会、预测（2016-2030）
市场调查报告书
商品编码
1415579

全球智慧电网市场评估：按网路领域、组件、应用、地区、机会、预测（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个工作天内

价格

全球智慧电网市场近年来呈现显着成长，预计未来将保持强劲成长轨迹。市场规模预计将从2022年的521.9亿美元增加至2030年的2,185.8亿美元，2023-2030年预测期间复合年增长率为19.61%。由于行业投资的增加以及智慧电錶、电动车充电器和其他基础设施发展等先进技术的引入，预计该市场将会成长。这些技术发展预计将在未来几年推动市场扩张。此外，由于能源需求增加、再生能源併网、电网现代化活动和电网弹性等因素，对智慧电网的需求正在迅速增加。

世界各地的许多电网正在老化，并面临基础设施老化带来的挑战。变压器、变电站和电力线等组件可能需要更换或升级。现代化工作透过采用先进技术和更有效率的设备来帮助解决这些基础设施问题。

先进的先进智慧电网技术的出现

先进智慧电网技术的出现彻底改变了能源领域。这些尖端技术显着提高了传统电网的能力，实现更有效率、可靠和永续的能源分配。先进智慧电网技术最着名的例子之一是先进计量基础设施 (AMI) 的引入。AMI 主要部署用于住宅用途，由一个至少每小时测量和记录用电量的电錶组成。这些仪表每天向公用事业公司和客户提供收集的数据。AMI 设备的范围从每小时记录能源使用情况的基本电錶到具有内建双向通讯功能的高级电錶。这些先进的仪表可以立即撷取和传输即时数据。此外，美国被认为是世界第二大电力生产国。根据美国能源资讯署统计，2021年，美国公用事业公司安装了约1.11亿个高级计量基础设施（AMI）单元，约占安装电錶总数的69%。这些 AMI 安装的大部分（约 88%）来自住宅客户。此外，AMI 电錶约占所有住宅电錶的 69%。因此，可以说，像AMI这样的高度先进的智慧电网技术的出现正在显着提高全球智慧电网市场的成长率。

智慧城市计画持续发展

随着智慧城市计画的扩大，对包括智慧电网在内的先进能源管理系统的需求正在显着增长。整合多个系统以及即时监控和分析数据的需求正在推动智慧电网解决方案的采用。此外，智慧城市的本质是利用即时数据来提高生活水平并培育可持续的未来。智慧城市计画最合理的例子之一是韩国松岛国际城。松岛曾经是黄海填海造地的沿海地区，如今已迅速转变为智慧城市，并赢得了 "世界最智慧城市" 的美誉。智慧城市概念围绕着使用即时数据来提高生活品质和永续性。该市的中央商务区是 G 塔的所在地，它是中央控制中心。G 塔配备了广泛的闭路电视摄影机网络，可监控各种状况，包括交通流量、建筑温度和紧急应变协调。

亚太地区主导全球智慧电网市场

亚太地区主导全球智慧电网市场。该地区处于智慧电网部署的前沿，中国、日本、印度和韩国等国家正在进行大量投资和活动。赋予亚太地区优势的因素包括政府措施、对能源效率的需求增加、电网可靠性的提高以及再生能源的整合。研发方面的大量投资正在推动创新和市场成长，使亚太地区成为智慧电网领域的领导者。中国、印度和日本等政府正在大力投资，实现能源基础设施现代化并促进智慧电网的采用。

本报告研究分析了全球智慧电网市场，提供市场规模和预测、市场动态、主要参与者趋势和前景等。

目录

第一章研究方法论

第二章 专案范围与定义

第三章 COVID-19 对全球智慧电网市场的影响

第四章 俄乌战争的影响

第 5 章执行摘要

第六章 客户评价

  • 受访者人口统计
  • 电力公司积极推动智慧电网导入
  • 智慧电网部署的障碍
  • 为什么要实施智慧电网？
  • 采用智慧电网系统
  • 升级智慧电网基础设施所需的投资
  • 寻求支持的地区
  • 提高品牌知名度
  • 售后支援

第七章 全球智慧电网市场展望（2016-2030）

  • 市场规模及预测
    • 金钱数额
    • 数量
  • 按网路区域
    • HAN
    • NAN
    • WAN
    • LoRaWAN
    • 其他
  • 按组件
    • 硬件
    • 软件
  • 按用途
    • 配电自动化
    • 转换率
    • 变电所自动化
    • 进阶测量基础设施 (AMI)
    • 其他
  • 按地区
    • 北美
    • 欧洲
    • 南美洲
    • 亚太地区
    • 中东/非洲

第八章全球智慧电网市场展望：按地区（2016-2030）

  • 亚太地区
    • 按网路区域
    • 按组件
    • 按用途
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳大利亚
    • 印度尼西亚
    • 菲律宾
    • 越南
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 法国
    • 意大利
    • 英国
    • 俄罗斯
    • 荷兰
    • 西班牙
    • 土耳其
    • 波兰
  • 南美洲
    • 巴西
    • 阿根廷
  • 中东/非洲
    • 沙特阿拉伯
    • 南非
    • 阿拉伯联合酋长国

第九章市场测绘（2022）

  • 按网路区域
  • 按组件
  • 按软体子类别
  • 依硬体子类别
  • 按用途
  • 按地区

第十章 宏观环境与产业结构

  • 供需分析
  • 供应/价值链分析
  • PESTLE分析
  • 波特五力分析

第十一章市场动态

  • 增长动力
  • 生长抑制因素
  • 电网当前和未来的挑战

第十二章 主要公司状况

  • 前 5 名市场领导者的竞争矩阵
  • 前 5 名市场领导者的市场收入分析（2022 年）
  • 併购/合作
  • 专利分析

第13章价格分析

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 策略建议

第十七章 关于我们公司、免责声明

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)