全球智慧电网分析市场评估：依部署类型、服务、应用、地区、机会、预测，2017-2031年

由于电力产业的快速数位化，全球智慧电网分析市场规模将从2023年的64亿美元增至2031年的164亿美元，2024-2031年预测期间的年复合成长率为12.50 %。

智慧电网分析市场包括先进的资料分析工具和技术，用于最佳化智慧电网的性能和管理。电网是一个复杂的网路，目的是产生、传输和从发电厂向最终用户分配电力。随着城市地区日益采用目的是增强基础设施和提高生活品质的技术，智慧城市概念已成为智慧电网分析市场成长的关键催化剂。智慧城市利用物联网（IoT）感测器、智慧电錶和即时资料分析来创建更有效率、回应更灵敏的能源管理系统。这些城市需要整合不同的能源并有效管理动态能源消耗模式，需要先进的智慧电网分析。透过提供即时监控、预测性维护和最佳化，智慧电网分析有助于确保电网可靠性、管理尖峰负载并提高能源效率。由于智慧电网解决方案支持现代城市环境的复杂需求，这种与城市永续性和弹性目标的结合将推动智慧电网分析市场的进一步创新和渗透。

由于多项技术进步改善了电网功能和资料收集，智慧电网分析市场预计将显着发展。低成本电池储存技术的普及是推动智慧电网分析市场需求的主要因素。例如，根据IEA的预测，到2022年底，电网规模电池储能总装置容量将达到约28GW，较2021年大幅成长75%以上。这一趋势预计将持续下去，到2030年，在净零情境下，装置容量预计将成长 35 倍，达到近 970GW。

本报告研究了全球智慧电网分析市场，并提供了市场概述，包括依部署类型、服务、应用程式、区域和参与市场的公司概况。

目录

第1章 专案范围与定义

第2章 研究方法

第3章 执行摘要

第4章 顾客回馈

第5章 2017-2031年全球智慧电网分析市场前景

• 市场规模分析与预测
• 市占率分析与预测
• 2023年市场地图分析
  • 依部署类型
  • 依服务
  • 依用途
  • 依地区

第6章 北美智慧电网分析市场展望，2017-2031

第7章 欧洲智慧电网分析市场前景，2017-2031

第8章 亚太地区智慧电网分析市场前景，2017-2031

第9章 南美洲智慧电网分析市场前景，2017-2031

第10章 中东与非洲智慧电网分析市场前景，2017-2031年

第11章 波特五力分析

第12章 PESTLE分析

第13章 价格分析

第14章 市场动态

第15章 市场趋势与发展

第16章 案例研究

第17章 竞争态势

• 前 5 名市场领导者的竞争矩阵
• 前 5 名的公司的SWOT 分析
• 前10名主要企业状况
  • Siemens
  • IBM Corporation
  • Oracle Corporation
  • Schneider Electric SE
  • GE Vernova Inc.
  • Landis+Gyr Group AG
  • Capgemini Service SAS
  • Infosys Limited
  • Honeywell International Inc.
  • SAS Institute Inc.

第18章 战略建议

第19章 查询及免责声明

Global smart grid analytics market is projected to witness a CAGR of 12.50% during the forecast period 2024-2031, growing from USD 6.40 billion in 2023 to USD 16.42 billion in 2031, owing to the rapid digitization of electricity sector.

The smart grid analytics market includes advanced data analysis tools and technologies to optimize the performance and management of smart electrical grids, where electrical grids are complex network made to generate, transmit, and distribute electricity from power plants to end-users. The smart city concept is a key catalyst for the growth of the smart grid analytics market, as urban areas increasingly embracing technologies designed to enhance infrastructure and improve quality of life. Smart cities leverage Internet of Things (IoT) sensors, smart meters, and real-time data analytics to create more efficient and responsive energy management systems. These cities integrate diverse energy sources, and must effectively manage dynamic energy consumption patterns, which necessitates advanced smart grid analytics. By providing real-time monitoring, predictive maintenance, and optimization, smart grid analytics helps ensure grid reliability, manage peak loads, and enhance energy efficiency. This alignment with the goals of urban sustainability and resilience drive further innovation and adoption in the smart grid analytics market, as smart grid solutions support the complex demands of modern urban environments.

Advancements in Technology is Elevating the Smart Grid Analytics Market

Smart gird analytics market is anticipated for major evolution, driven by advancements in several technology that elevate grid capabilities along with data collection. The surge of low-cost battery storage technology is a major factor driving the smart grid analytics market demand. For instance, as per IEA, by the end of 2022, the total installed capacity for grid-scale battery storage reached around 28-GW, reflecting a notable increase of over 75% from 2021. This trend is anticipated to persist, with forecasts suggesting that capacity could grow 35 times to nearly 970-GW by 2030 under the Net Zero Scenario.

Similarly, the widespread adoption of rooftop photovoltaics is adding value to the market. Advancement in microgrids, which operate independently or in integration with the main grid, is contributing to reshaping the smart grid analytics market.

Moreover, surge in data availability and the rise of IoT connectivity, such as smart devices and sensors that allow real-time monitoring and control of various grid components has significantly broadened the scope and potential of smart grid analytics market. For instance, utility companies have been upgrading their power plants and substations by installing sensors on key components such as turbines and transformers. These sensors monitor vibrations and other irregularities that could signal potential failures. Duke Energy and other utilities report that asset analytics have proven highly effective, helping to avoid significant outages caused by equipment issues.

Demand For Renewable Energy is Driving the Smart Grid Analytics Market

The growth in the utilization of renewable energy sources necessitates effective tracking and prediction of key outcomes. Smart grid analytics technology has therefore surfaced as an innovative tool in enhancing and improving the delivery of power networks. According to the World Economic Forum, in 2023, the global addition of new renewable electricity capacity reached 507-GW, marking a 50% increase compared to 2022. Smart technology plays a crucial role in increasing renewable energy penetration by providing methods and tools for effective management. Smart grid analytics collect and analyze updated data to forecast energy production, optimize grid operations, and balance demand and supply. These tools use historical data, weather predictions, and real-time performance to predict renewable power sources to generate electricity and the strength of that power. This enables energy providers to adjust grid usage patterns, integrate renewable energy more efficiently, and ensure a consistent and reliable energy supply for clients. Consequently, smart grid analytics offers utilities essential insights for optimizing renewable energy utilization while effectively managing the grid.

Capital Intensity and Operational Challenges in Market

One major drawback attributable to the smart grid analytics market is the capital intensity in terms of implementation and integration. The utilization of high-level smart grid analytics tools incorporates extensive amounts of capital investment in smart meters, sensors, and data management. Furthermore, incorporation of these new technologies into the existing grid systems takes time and funds, which may comprise of procurement of new products and solutions, expense incurred to educate people, and procurement of security shields. Some of the financial and operational issues that can become an issue for some utilities especially those in the developing world and may cause a slow rate of implementation and use of smart grid analytics solutions.

Asia-Pacific is Projected to Experience Fastest Growth in the Smart Grid Analytics Market

In densely populated countries with recent rapid development, such as China, India, Japan, and South Korea, the growing demand for energy is driving the need for new and improved power system. It includes the adoption of various smart grid analytical solution to manage and optimize energy distribution effectively. Asia-Pacific which currently hosts 54 percent of the world's total urban population, is at the forefront of this energy transformation.

Besides, tremendous government spending for promising smart grid analytics technologies, such as China's dedicated funding in smart city programs and infrastructure development, is improving energy efficiency and facilitating the integration of renewable resources. India has invested over USD 7.4 billion in smart grid projects as of 2023, with a focus on smart meters, sensors, and data management infrastructure. Similar supportive regulatory environments that provide incentives for carbon emission reduction and promotion of renewable resources are contributing to the improvement of advanced grid analytics through incentive enhancement and system robustness.

The evolution of smart city systems in the region is driving the need for advanced smart grid, IoT ecosystems, and renewable power investments. Additionally, the growth in utilizing advanced storage systems and smart grid technology is supported by technology suppliers and government that drives the market ahead and enhances the smart grid solutions.

Future Market Scenario (2024 - 2031F)

The emerging technologies such as AI, machine learning, and blockchain is anticipated to drive the advancement of smart grid analytics market. Also, improved predictive analytics, real time monitoring, and cyber security are expected to increase the efficiency of grid management and operation.

With the growing use of smart meters, sensors, and IoT devices in smart grids, the amount of data is expected to increase significantly. This surge will drive the need for advanced analytics to manage the information effectively and enhance grid reliability by enabling more precise decision-making.

As the need for clean energy grows, renewable sources such as solar and wind power will become central to smart grid analytics. Data analytics will help manage the fluctuations in renewable energy, maintain grid balance, and ensure efficient power distribution.

The concept of smart cities will have a large impact on the smart grid analytics market. Thus, as more cities embrace integrated and intelligent solutions in infrastructure, there will be increasing demand for smart grid solutions to support energy management and optimization, for providing service delivery or communication infrastructure.

Key Players Landscape and Outlook

The market is experiencing major trends due to the presence of prominent players in the smart grid analytics market which is defining market's development. Established players are providing solutions for smart grid technologies that includes grid management systems, real time monitoring and analytics.

Key players leverage their expertise in hardware and software systems to enhance grid reliability, efficiency, and integration of renewable energy systems. As the shift towards renewable energy generation accelerates, the market is expected to expand rapidly, necessitating advanced methods for managing energy variability and distribution.

In response, key players and startups are actively investing in strategic partnerships and collaborations to strengthen their positions in the smart grid analytics market. For instance, in February 2024, SPAN and Landis+Gyr announced a strategic partnership aimed at advancing electrification, enhancing grid flexibility, and building resilience in a cost-effective manner. This collaboration combines the expertise of two prominent energy industry leaders to assist utilities in optimizing the use of current assets, managing Distributed Energy Resources (DER) more effectively, and improving customer engagement.

Also, in July 2024, Eneida, a significant innovator in Neighbourhood Grid Intelligence for Zero Emission Neighbourhoods (ZEN) and based in Coimbra, has announced the successful completion of a USD 11.74 million Series B financing round.

Companies are investing in breakthrough innovations in the smart grid analytics market, which is adding value and driving growth of the market. For instance, in February 2024, Siemens unveiled Gridscale X, marking a significant step towards achieving autonomous grid management and expediting digital transformation for grid operators efficiently and comprehensively. The Gridscale X software empowers utilities to enhance grid capacity and improve visibility of Distributed Energy Resources (DER), which is crucial for grid decarbonization. By implementing Gridscale X, grid operators can advance their digital transformation efforts across planning, operations, and maintenance phases. Gridscale X is included in the Siemens Xcelerator portfolio and benefits from an extensive and open partner ecosystem that supports its implementation and integration.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global Smart Grid Analytics Market Outlook, 2017-2031F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Deployment Type
    • 5.2.1.1. On-premises
    • 5.2.1.2. Cloud-based
  • 5.2.2. By Service
    • 5.2.2.1. Professional Services
    • 5.2.2.2. Support and Maintenance Services
  • 5.2.3. By Application
    • 5.2.3.1. AMI
    • 5.2.3.2. Load Forecasting
    • 5.2.3.3. Demand Response
    • 5.2.3.4. Grid Optimization
  • 5.2.4. By Region
    • 5.2.4.1. North America
    • 5.2.4.2. Europe
    • 5.2.4.3. Asia-Pacific
    • 5.2.4.4. South America
    • 5.2.4.5. Middle East and Africa
  • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
• 5.3. Market Map Analysis, 2023
  • 5.3.1. By Deployment Type
  • 5.3.2. By Service
  • 5.3.3. By Application
  • 5.3.4. By Region

6. North America Smart Grid Analytics Market Outlook, 2017-2031F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Deployment Type
    • 6.2.1.1. On-premises
    • 6.2.1.2. Cloud-based
  • 6.2.2. By Service
    • 6.2.2.1. Professional Services
    • 6.2.2.2. Support and Maintenance Services
  • 6.2.3. By Application
    • 6.2.3.1. AMI
    • 6.2.3.2. Load Forecasting
    • 6.2.3.3. Demand Response
    • 6.2.3.4. Grid Optimization
  • 6.2.4. By Country Share
    • 6.2.4.1. United States
    • 6.2.4.2. Canada
    • 6.2.4.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Smart Grid Analytics Market Outlook, 2017-2031F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Deployment Type
        • 6.3.1.2.1.1. On-premises
        • 6.3.1.2.1.2. Cloud-based
      • 6.3.1.2.2. By Service
        • 6.3.1.2.2.1. Professional Services
        • 6.3.1.2.2.2. Support and Maintenance Services
      • 6.3.1.2.3. By Application
        • 6.3.1.2.3.1. AMI
        • 6.3.1.2.3.2. Load Forecasting
        • 6.3.1.2.3.3. Demand Response
        • 6.3.1.2.3.4. Grid Optimization
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Smart Grid Analytics Market Outlook, 2017-2031F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Smart Grid Analytics Market Outlook, 2017-2031F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Smart Grid Analytics Market Outlook, 2017-2031F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Smart Grid Analytics Market Outlook, 2017-2031F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Pricing Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. Siemens
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Products and Services
    • 17.3.1.4. Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 17.3.2. IBM Corporation
  • 17.3.3. Oracle Corporation
  • 17.3.4. Schneider Electric SE
  • 17.3.5. GE Vernova Inc.
  • 17.3.6. Landis+Gyr Group AG
  • 17.3.7. Capgemini Service SAS
  • 17.3.8. Infosys Limited
  • 17.3.9. Honeywell International Inc.
  • 17.3.10. SAS Institute Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 2. Global Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 3. Global Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 4. Global Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 5. Global Smart Grid Analytics Market Share (%), By Region, 2017-2031F
• Figure 6. North America Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 7. North America Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 8. North America Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 9. North America Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 10. North America Smart Grid Analytics Market Share (%), By Country, 2017-2031F
• Figure 11. United States Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 12. United States Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 13. United States Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 14. United States Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 15. Canada Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 16. Canada Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 17. Canada Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 18. Canada Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 19. Mexico Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 20. Mexico Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 21. Mexico Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 22. Mexico Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 23. Europe Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 24. Europe Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 25. Europe Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 26. Europe Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 27. Europe Smart Grid Analytics Market Share (%), By Country, 2017-2031F
• Figure 28. Germany Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 29. Germany Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 30. Germany Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 31. Germany Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 32. France Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 33. France Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 34. France Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 35. France Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 36. Italy Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 37. Italy Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 38. Italy Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 39. Italy Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 40. United Kingdom Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 41. United Kingdom Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 42. United Kingdom Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 43. United Kingdom Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 44. Russia Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 45. Russia Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 46. Russia Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 47. Russia Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 48. Netherlands Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 49. Netherlands Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 50. Netherlands Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 51. Netherlands Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 52. Spain Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 53. Spain Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 54. Spain Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 55. Spain Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 56. Turkey Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 57. Turkey Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 58. Turkey Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 59. Turkey Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 60. Poland Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 61. Poland Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 62. Poland Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 63. Poland Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 64. South America Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 65. South America Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 66. South America Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 67. South America Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 68. South America Smart Grid Analytics Market Share (%), By Country, 2017-2031F
• Figure 69. Brazil Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 70. Brazil Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 71. Brazil Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 72. Brazil Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 73. Argentina Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 74. Argentina Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 75. Argentina Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 76. Argentina Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 77. Asia-Pacific Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 78. Asia-Pacific Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 79. Asia-Pacific Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 80. Asia-Pacific Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 81. Asia-Pacific Smart Grid Analytics Market Share (%), By Country, 2017-2031F
• Figure 82. India Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 83. India Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 84. India Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 85. India Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 86. China Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 87. China Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 88. China Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 89. China Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 90. Japan Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 91. Japan Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 92. Japan Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 93. Japan Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 94. Australia Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 95. Australia Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 96. Australia Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 97. Australia Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 98. Vietnam Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 99. Vietnam Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 100. Vietnam Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 101. Vietnam Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 102. South Korea Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 103. South Korea Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 104. South Korea Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 105. South Korea Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 106. Indonesia Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 107. Indonesia Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 108. Indonesia Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 109. Indonesia Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 110. Philippines Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 111. Philippines Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 112. Philippines Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 113. Philippines Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 114. Middle East & Africa Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 115. Middle East & Africa Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 116. Middle East & Africa Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 117. Middle East & Africa Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 118. Middle East & Africa Smart Grid Analytics Market Share (%), By Country, 2017-2031F
• Figure 119. Saudi Arabia Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 120. Saudi Arabia Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 121. Saudi Arabia Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 122. Saudi Arabia Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 123. UAE Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 124. UAE Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 125. UAE Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 126. UAE Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 127. South Africa Smart Grid Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 128. South Africa Smart Grid Analytics Market Share (%), By Deployment Type, 2017-2031F
• Figure 129. South Africa Smart Grid Analytics Market Share (%), By Service, 2017-2031F
• Figure 130. South Africa Smart Grid Analytics Market Share (%), By Application, 2017-2031F
• Figure 131. By Deployment Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 132. By Service Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 133. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 134. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023