全球能源和公用事业分析市场规模：按类型、部署模型、地区、范围和预测

能源和公用事业分析市场规模和预测

2023 年能源和公用事业分析市场规模为 30.7 亿美元，预计 2024 年至 2031 年复合年增长率为 16.5%，到 2031 年将达到 104.1 亿美元。能源和公用事业分析是对与能源生产、分配和消耗相关的数据进行的系统计算研究。该领域利用大数据、机器学习和物联网 (IoT) 等先进技术来收集、处理和解释来自能源市场众多来源的大量数据。其主要目的是透过提供可行的见解来优化营运、提高效率、促进永续性并支援决策流程。这包括使用智慧电錶、电网感测器和再生能源的数据来预测需求、避免停电并节省金钱。

分析应用于各种能源产业领域，包括发电、输电、配电和消费。发电分析有助于预测设备维护、优化燃料并有效整合再生能源。输配电分析透过预测和减轻潜在故障、优化负载平衡和改进故障检测来确保电网的可靠性和稳定性。

该分析使住宅和企业消费者能够更轻鬆地实施需求响应系统、创建量身定制的节能建议以及创建动态定价模型。此外，公用事业公司正在利用这些见解来提供即时使用数据、断电警报和客製化能源解决方案，以改善客户服务。

能源和公用事业分析涵盖了旨在改变能源产业的广泛功能。主要功能包括即时数据监控和分析、维护和可靠性预测分析以及能源分配和消耗优化演算法。异常检测和故障预测等进阶功能可提高电网安全性和效率。

全球能源和公用事业分析市场动态

主要市场推动因素

能源需求和消费模式的增加：

由于人口成长和工业扩张，全球能源消耗稳定增加，对有效能源管理的需求不断增加。能源和公用事业分析可帮助公用事业公司识别和预测使用模式，从而实现更准确的需求预测。这改善了资源分配，减少了能源浪费，并使生产计划更有效率。先进的分析有助于将再生能源整合到电网中，提供可靠且平衡的能源供应，满足不断增长的需求，同时对环境负责。

再生能源的整合：

环境问题和法规正在推动向太阳能、风能和水力发电等再生能源的转变。将这些可变能源整合到常规系统中存在重大障碍。能源分析透过预测再生能源发电、优化能源储存系统和确保电网稳定性来帮助解决这些复杂问题。透过评估天气模式和历史数据，公用事业公司可以更好地估计再生能源输出并将其整合到传统电力系统中。

监理合规性和环境问题：

世界各国政府正在製定严格的法规来限制碳排放并鼓励永续能源实践。能源和公用事业分析使公用事业公司能够正确监控和报告污染物并确保遵守环境标准。此外，分析可以优化能源生产运营，以减少对环境的影响并支持企业社会责任。这种对合规性和永续性的推动是市场的关键驱动力，推动公用事业公司采用先进的分析解决方案。

提高客户参与度和服务交付：

客户对能源业务的期望正在发生变化，对个人化服务和即时资讯的需求不断增加。能源和公用事业分析使公用事业公司能够向客户提供有针对性的节能建议、动态定价模型和即时使用统计数据。消费者参与度的提高可以提高满意度和忠诚度，从而鼓励公用事业公司投资分析解决方案。透过主动停电管理和快速问题回应提供更好的服务，进一步加强客户和公用事业公司之间的联繫。

主要课题

数据品质和整合：

能源和公用事业分析中最困难的课题之一是确保高品质和可靠的数据。来自不同来源（例如智慧电錶、物联网设备和遗留系统）的资料通常具有不同的格式和标准。将这些不同的数据整合到统一的系统中可能很困难，并且会导致不一致和错误。数据品质差会对分析见解的有效性产生重大影响。确保资料的清洁性、准确性和跨平台相容性需要强大的资料管理策略、对资料整合技术的大量投资以及持续的维护。

网路安全威胁：

能源产业越来越依赖数位技术和网路系统，这使其成为网路攻击的有吸引力的目标。保护敏感资料和关键基础设施免受网路威胁是首要任务。高级分析系统必须安全，以避免资料外洩和不必要的存取。采取强有力的网路安全措施（例如加密、入侵侦测系统和定期安全审核）至关重要，但可能成本高且复杂。确保遵守网路安全法律和标准也增加了课题。

监理和合规问题：

驾驭能源业务复杂的监管架构是部署分析解决方案的关键障碍。有关资料隐私、安全和环境规范的法规因地区而异。确保遵守这些标准，同时利用数据进行分析需要仔细的准备和强大的治理结构。此外，规则会不断变化，因此必须持续监控和调整分析系统以确保合规性。

变革管理与组织阻力：

实施分析解决方案通常需要对现有流程和工作流程进行重大变更。组织对变革的抵制可能是成功实施的主要障碍。员工可能对新技术持谨慎态度，担心它会夺走他们的工作或使他们的角色复杂化。有效的变革管理策略，例如清晰的沟通、培训计划和员工参与实施过程，对于克服阻力并确保分析解决方案的顺利实施至关重要。

主要趋势：

物联网和智慧型设备的普及：

能源产业中物联网 (IoT) 设备的整合是推动分析市场的关键趋势。智慧电錶、感测器和连网设备会产生大量数据，揭示有关能源使用模式、设备性能和电网健康状况的精确资讯。这些数据对于即时监控和预测分析至关重要，使公用事业公司能够优化营运、增加客户互动并提高能源效率。随着物联网设备的采用不断增加，对能够处理大量资料并从中提取相关见解的高阶分析系统的需求可能会增加。

采用人工智慧和机器学习：

人工智慧和机器学习正在改变能源和公用事业分析的格局。这些技术透过评估历史和即时数据的模式和趋势来改善预测、异常检测和预测性维护。人工智慧和机器学习演算法可以优化能源生产和分配、降低营运成本并提高电网可靠性。如今，人工智慧和机器学习正在推动能源分析，因为透过机器学习驱动的洞察来预测设备故障和优化维护计划的能力可以显着提高营运效率并减少停机时间，这已成为解决方案的重要组成部分。

聚焦再生能源併网：

在能源领域，向太阳能、风电、水力等再生能源的转变明显。能源和公用事业分析是将这些可变能源整合到电网的关键组成部分。先进的分析工具有助于估计再生能源输出、改善能源储存并确保系统稳定性。透过监控天气模式和历史数据，公用事业公司可以更好地估计再生能源产量并确保平衡和可靠的电力供应。随着世界转向更永续的能源，这一趋势预计将持续下去。

边缘运算的兴起：

边缘运算作为一种更接近源头处理资料、减少延迟并支援即时决策的方法，在能源领域越来越受欢迎。透过在网路边缘实施分析，公用事业公司可以立即分析来自感测器和智慧设备的数据，缩短对营运问题的回应时间，并提高电网可靠性。边缘运算支援即时监控、预测性维护和需求响应系统等高阶应用。这一趋势是由日益互联的能源产业对低延迟、高效能分析解决方案日益增长的需求所推动的。

全球能源和公用事业分析的区域分析

欧洲：

欧洲：欧洲已成为能源和公用事业分析市场的主要参与者，市占率落后于北美。该地区能源和公用事业领域分析解决方案的使用显着增加。采用这种技术的主要动机是需要更好的能源风险管理、电网分析、需求预测和收入保证措施。随着欧洲国家寻求更新其能源基础设施并转向更永续的实践，对先进分析解决方案的需求不断增长。

欧洲能源和公用事业分析市场按国家/地区进行细分，以代表该地区的不同区域。该市场的主要国家包括英国、德国、法国、义大利、西班牙和欧洲其他国家。每个国家都为分析解决方案提供者提供独特的机会和课题，并受到法律框架、能源政策、市场动态和技术改进的影响。例如，英国处于智慧电网计划的前沿，推动了对分析解决方案的需求，以提高电网性能并促进再生能源的整合。

在整个欧洲，公用事业公司越来越多地使用分析来优化营运、提高效率和消费者满意度。电网分析允许公用事业公司即时追踪和控制电网性能，以保持可靠性和稳定性。需求预测使公用事业公司能够更准确地估计能源需求，从而改善资源分配和规划。

此外，分析工具可以透过发现收入洩漏、优化定价策略和提高计费准确性来帮助确保收入安全。随着欧洲国家继续投资数位转型计划，该地区的能源和公用事业分析市场预计将扩大和创新。

亚太地区：

预计亚太地区能源和公用事业分析市场在预测期内将以 20.03% 的复合年增长率 (CAGR) 强劲成长。这种快速成长是由该地区对预测性维护、负载管理和预测解决方案不断增长的需求所推动的，以满足不断变化的消费者期望并维持能源基础设施高效运作。亚太国家正在经历快速的城市化、工业化和数位化，分析在改善能源生产、供应和消费方面的作用日益广泛认可。

亚太地区能源和公用事业分析市场按国家/地区划分，以代表该地区不同的地理位置和不同的市场动态。中国、日本、印度、韩国、澳洲和亚太地区其他国家是该产业的主要参与者。每个国家对于分析解决方案提供者都有不同的机会和限制，受到法律框架、技术准备、投资目标和能源基础设施发展的影响。

亚太地区的公用事业公司越来越依赖分析解决方案来优化营运并解决能源产业日益复杂的问题。预测性维护分析使您能够主动识别和解决设备故障，从而减少停机时间和维护成本。负载管理分析可协助公用事业公司改善供需之间的平衡，并提高电网的稳定性和可靠性。

预测技术使公用事业公司能够准确预测能源需求趋势，从而实现更好的资源规划和分配。随着人们对能源效率、永续性和数位转型的日益关注，亚太地区的能源和公用事业分析产业预计将出现显着的成长和创新。

目录

第1章全球能源与公用事业分析市场简介

• 市场概况
• 调查范围
• 先决条件

第 2 章执行摘要

第3章 验证市场研究研究方法

• 数据挖掘
• 验证
• 一次资料
• 数据源列表

第4章全球能源与公用事业分析市场展望

• 概述
• 市场动态
  • 促进因素
  • 阻碍因素
  • 机会
• 波特的五力模型
• 价值链分析

第5章全球能源和公用事业分析市场：按类型

• 概述
• 软体
• 服务

第6章全球能源与公用事业分析市场：依部署模型

• 概述
• 本地
• 云端
• 混合

第7章 全球能源与公用事业分析市场：按地区

• 概述
• 北美
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 亚太其他地区
• 世界其他地区
  • 拉丁美洲
  • 中东

第8章全球能源与公用事业分析市场：竞争格局

• 概述
• 各公司市场排名
• 主要发展策略

第9章 公司简介

• IBM Corporation
• Intel Corporation
• SAP SE
• Ericsson
• Cisco Systems Inc.
• Eaton Corporation
• Schneider Electric Company
• Capgemini
• Oracle Corporation
• Infosys

第10章附录

• 相关研究

Energy and Utility Analytics Market Size And Forecast

Energy And Utility Analytics Market size was valued at USD 3.07 Billion in 2023 and is projected to reach USD 10.41 Billion by 2031 , growing at a CAGR of 16.5% from 2024 to 2031. Energy and Utility Analytics is the systematic computational study of data pertaining to energy production, distribution, and consumption. This field uses advanced technologies like big data, machine learning, and IoT (Internet of Things) to collect, process, and interpret massive volumes of data from numerous sources in the energy market. The primary purpose is to optimize operations, increase efficiency, promote sustainability, and aid decision-making processes by giving actionable insights. This includes using data from smart meters, grid sensors, and renewable energy sources to forecast demand, avoid outages, and save money.

The analytics are used in a variety of energy industry segments, including generation, transmission, distribution, and consumption. Analytics in generation aids in predicting equipment maintenance, fuel optimization, and effective integration of renewable energy sources. Analytics in transmission and distribution guarantee grid reliability and stability by forecasting and mitigating probable failures, optimizing load balancing, and improving fault detection.

Analytics make it easier for residential and business consumers to implement demand response systems, make individualized energy-saving recommendations, and create dynamic pricing models. Furthermore, utilities leverage these insights to improve customer service by offering real-time usage data, outage alerts, and customized energy solutions.

Energy and Utility Analytics spans a wide range of functionalities designed to transform the energy sector. Key characteristics include real-time data monitoring and analysis, predictive analytics for maintenance and reliability, and energy distribution and consumption optimization algorithms. Advanced features, such as anomaly detection and failure prediction, improve grid security and efficiency.

Global Energy And Utility Analytics Market Dynamics

The key market dynamics that are shaping the global energy and utility analytics market include:

Key Market Drivers:

Increasing Energy Demand and Consumption Patterns:

With global energy consumption steadily rising due to population growth and industrial expansion, there is an increased demand for effective energy management. Energy and utility analytics assist utilities identify and predict usage patterns, allowing for more accurate demand forecasts. This leads to improved resource allocation, less energy waste, and more efficient production schedules. Advanced analytics make it easier to integrate renewable energy sources into the grid, resulting in a dependable and balanced energy supply that fulfills expanding demand while being environmentally friendly.

Integration of Renewable Energy Sources:

Environmental concerns and regulatory regulations are driving the transition to renewable energy sources such as solar, wind, and hydropower. Integrating these variable energy sources into the regular system presents substantial hurdles. Energy analytics helps to handle these complications by projecting renewable energy generation, optimizing storage systems, and guaranteeing grid stability. By evaluating weather patterns and historical data, utilities can better estimate renewable energy output and integrate it into traditional power systems.

Regulatory Compliance and Environmental Concerns:

Governments around the world are enacting strict restrictions to limit carbon emissions and encourage sustainable energy practices. Energy and utility analytics allow utilities to correctly monitor and report pollutants, guaranteeing compliance with environmental standards. Furthermore, analytics aid in optimizing energy production operations to reduce environmental effects, hence supporting corporate social responsibility objectives. This drive for compliance and sustainability is a major market driver, compelling utilities to employ advanced analytical solutions.

Improved Customer Engagement and Service Delivery:

Customer expectations in the energy business are changing, with a greater need for individualized services and real-time information. Energy and utility analytics enable utilities to provide targeted energy-saving recommendations, dynamic pricing models, and real-time usage statistics to customers. Improved consumer involvement leads to increased satisfaction and loyalty, which encourages utilities to invest in analytics solutions. Better service delivery through proactive outage management and faster issue response further strengthens the customer-utility connection.

Key Challenges:

Data Quality and Integration:

One of the most difficult difficulties in energy and utility analytics is assuring high-quality, reliable data. Data from diverse sources, such as smart meters, IoT devices, and older systems, frequently has distinct forms and standards. Integrating these different data into a unified system is difficult and can lead to inconsistencies and mistakes. Poor data quality can have a substantial impact on the validity of analytical insights. Ensuring data cleanliness, accuracy, and compatibility across platforms necessitates strong data management strategies, significant investment in data integration technology, and continuous maintenance.

Cybersecurity Threats:

The energy sector's increasing reliance on digital technologies and networked systems makes it an attractive target for cyberattacks. Protecting sensitive data and key infrastructure from cyber threats is a top priority. Advanced analytics systems must be safe to avoid data breaches and unwanted access. Implementing strong cybersecurity measures, including as encryption, intrusion detection systems, and regular security audits, is critical, but it can be expensive and complex. Ensuring compliance with cybersecurity legislation and standards adds to the challenge.

Regulatory and Compliance Issues:

Navigating the complicated regulatory framework of the energy business is a key hurdle for deploying analytics solutions. Regulations governing data privacy, security, and environmental norms differ by area. Ensuring compliance with these standards while using data for analytics necessitates meticulous preparation and strong governance structures. Furthermore, rules are continually changing, needing ongoing monitoring and adaption of analytics systems to ensure compliance.

Change Management and Organizational Resistance:

Implementing analytics solutions frequently necessitates considerable modifications to existing processes and workflows. Organizational resistance to change can be a significant impediment to successful implementation. Employees may be wary of new technologies, fearing job displacement or increasing complexity in their roles. Effective change management tactics, including as clear communication, training programs, and staff participation in the implementation process, are critical for overcoming resistance and ensuring the smooth adoption of analytics solutions.

Key Trends:

Proliferation of IoT and Smart Devices:

The integration of Internet of Things (IoT) devices in the energy industry is a major trend propelling the analytics market. Smart meters, sensors, and linked appliances generate massive volumes of data, revealing precise information about energy usage patterns, equipment performance, and grid health. This data is critical for real-time monitoring and predictive analytics, which allow utilities to optimize operations, increase customer interaction, and improve energy efficiency. The growing deployment of IoT devices is likely to fuel demand for sophisticated analytics systems capable of processing and extracting relevant insights from huge datasets.

Adoption of AI and Machine Learning:

AI and ML are changing the energy and utilities analytics landscape. These technologies improve forecasting, anomaly detection, and predictive maintenance by evaluating patterns and trends in historical and real-time data. Artificial intelligence and machine learning algorithms can optimize energy generation and distribution, lower operational costs, and improve grid dependability. The ability to predict equipment failures and optimize maintenance schedules using ML-driven insights can greatly improve operational efficiency and reduce downtime, making AI and ML essential components of current energy analytics solutions.

Focus on Renewable Energy Integration:

The energy sector is seeing a significant shift toward renewable energy sources such as solar, wind, and hydropower. Energy and utility analytics are critical components in integrating these variable energy sources into the grid. Advanced analytics tools aid in estimating renewable energy output, improving energy storage, and ensuring system stability. By monitoring weather patterns and historical data, utilities can better estimate renewable energy output and assure a balanced and dependable power supply. This trend is projected to continue as the world transitions to more sustainable energy sources.

Rise of Edge Computing:

Edge computing is gaining popularity in the energy sector as a way to process data closer to its source, lowering latency and boosting real-time decision-making. By implementing analytics capabilities at the network's edge, utilities may instantly analyze data from sensors and smart devices, resulting in faster response times to operational issues and increased grid reliability. Edge computing enables advanced applications including real-time monitoring, predictive maintenance, and demand response systems. This trend is driven by the growing demand for low-latency, high-performance analytics solutions in the increasingly interconnected energy landscape.

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Global Energy And Utility Analytics Regional Analysis

Here is a more detailed regional analysis of the global energy and utility analytics market:

Europe:

Europe is emerging as a major participant in the energy and utilities analytics markets, trailing only North America in terms of market share. The region is experiencing a significant increase in the usage of analytical solutions in the energy and utilities sectors. This adoption is primarily motivated by the need for better energy risk management, grid analytics, demand forecasting, and revenue assurance measures. As European countries attempt to update their energy infrastructure and shift to more sustainable practices, the need for advanced analytics solutions is increasing.

The European market for energy and utilities analytics has been divided into country segments to represent the region's diversified geography. Key nations in this market include the United Kingdom, Germany, France, Italy, Spain, England, and the rest of Europe. Each country offers distinct opportunities and challenges for analytics solution providers, influenced by legislative frameworks, energy policies, market dynamics, and technical improvements. The United Kingdom, for example, has been at the forefront of smart grid initiatives, boosting demand for analytics solutions to improve grid performance and facilitate renewable energy integration.

Across Europe, utilities are increasingly using analytics to optimize operations, increase efficiency, and improve consumer happiness. Grid analytics allow utilities to track and control grid performance in real time, maintaining reliability and stability. Demand forecasting allows utilities to more correctly estimate energy needs, resulting in improved resource allocation and planning.

Additionally, analytics tools help with revenue assurance by discovering revenue leaks, optimizing pricing tactics, and improving billing accuracy. As European countries continue to invest in digital transformation programs, the region's energy and utilities analytics market is expected to expand and innovate.

Asia Pacific:

Asia-Pacific is predicted to experience significant growth in the energy and utilities analytics market, with a Compound Annual Growth Rate (CAGR) of 20.03% over the forecast period. This spike is being driven by the region's growing demand for predictive maintenance, load management, and forecasting solutions to meet changing consumer expectations and maintain the efficient operation of energy infrastructure. As Asia-Pacific countries experience fast urbanization, industrialization, and digitization, the role of analytics in improving energy production, delivery, and consumption is becoming more widely recognized.

The Asia-Pacific energy and utilities analytics market is divided into nation segments to represent the region's diversified terrain and varying market dynamics. China, Japan, India, South Korea, Australia, and the rest of Asia-Pacific are key players in this industry. Each country has distinct opportunities and constraints for analytics solution providers, influenced by legal frameworks, technical preparedness, investment goals, and energy infrastructure development.

Utilities in Asia-Pacific are increasingly relying on analytics solutions to optimize operations and meet the growing complexities of the energy sector. Predictive maintenance analytics enable utilities to discover and address equipment faults before they occur, lowering downtime and maintenance costs. Load management analytics help utilities to better balance supply and demand, resulting in grid stability and reliability.

Forecasting technologies allow utilities to precisely predict energy demand trends, resulting in better resource planning and allocation. With a growing emphasis on energy efficiency, sustainability, and digital transformation, Asia-Pacific's energy and utilities analytics industry is set to grow and innovate significantly.

Global Energy And Utility Analytics Market: Segmentation Analysis

The Global Energy And Utility Analytics is Segmented on the basis of Type, Deployment Model, And Geography.

Energy And Utility Analytics Market, By Type

• Software
• Service

Based on Type, the market is segmented into Software and Service. Software is currently the dominant segment. This is because software solutions serve as the primary analytical instruments for data collecting, processing, and visualization. These tools enable utilities and energy firms to get insights into their operations and make educated decisions. Cloud-based services are witnessing the most rapid growth. Cloud services provide numerous benefits, including scalability, cost-effectiveness, and ease of setup. This makes them appealing to businesses of all sizes, particularly those seeking to avoid the initial costs of on-premise software.

Energy And Utility Analytics Market, By Deployment Model

• On-Premise
• Cloud
• Hybrid

Based on Deployment Model, the market is bifurcated into On-Premise, Cloud, and Hybrid. The cloud segment is predominated because of its scalability, adaptability, and cost-effectiveness. Cloud-based analytics solutions enable utilities to have access to advanced analytical tools and infrastructure without requiring large upfront investments in hardware or software. This category is rapidly expanding as utilities strive to use the agility and scalability of cloud platforms to swiftly install and scale analytics solutions, therefore driving operational efficiency and innovation. The Hybrid segment has emerged as the fastest-growing segment in the Energy and Utility Analytics Market. Hybrid solutions combine on-premise and cloud-based deployment strategies, allowing utilities to manage sensitive data on-premise while leveraging the scalability and accessibility of the cloud for analytical workloads.

Key Players

• The "Global Energy And Utility Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are
• IBM Corporation, Intel Corporation, SAP SE, Ericsson, Cisco Systems, Inc., Eaton Corporation, Schneider Electric Company, Capgemini, Oracle Corporation, TIBCO Software, Inc., Infosys, and Wipro.
• The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Energy And Utility Analytics Market Recent Developments
• In August 2022, mCloud Technologies Corp., an AI-powered asset management and Environmental, Social, and Governance ("ESG") solutions provider, signed an agreement with Agnity Inc.
• In May 2022, Siemens will bring its tried-and-true transmission grid modeling software, PSS-E, to the cloud. It makes use of the same software and user interface, as well as over 2,000 APIs and existing scripts.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL ENERGY AND UTILITY ANALYTICS

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL ENERGY AND UTILITY ANALYTICS OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL ENERGY AND UTILITY ANALYTICS, BY TYPE

• 5.1 Overview
• 5.2 Software
• 5.3 Service

6 GLOBAL ENERGY AND UTILITY ANALYTICS, BY DEPLOYMENT MODEL

• 6.1 Overview
• 6.2 On-Premise
• 6.3 Cloud
• 6.4 Hybrid

7 GLOBAL ENERGY AND UTILITY ANALYTICS, BY GEOGRAPHY

• 7.1 Overview
• 7.2 North America
  • 7.2.1 U.S.
  • 7.2.2 Canada
  • 7.2.3 Mexico
• 7.3 Europe
  • 7.3.1 Germany
  • 7.3.2 U.K.
  • 7.3.3 France
  • 7.3.4 Rest of Europe
• 7.4 Asia Pacific
  • 7.4.1 China
  • 7.4.2 Japan
  • 7.4.3 India
  • 7.4.4 Rest of Asia Pacific
• 7.5 Rest of the World
  • 7.5.1 Latin America
  • 7.5.2 Middle East

8 GLOBAL ENERGY AND UTILITY ANALYTICS COMPETITIVE LANDSCAPE

• 8.1 Overview
• 8.2 Company Market Ranking
• 8.3 Key Development Strategies

9 COMPANY PROFILES

• 9.1 IBM Corporation
  • 9.1.1 Overview
  • 9.1.2 Financial Performance
  • 9.1.3 Product Outlook
  • 9.1.4 Key Developments
• 9.2 Intel Corporation
  • 9.2.1 Overview
  • 9.2.2 Financial Performance
  • 9.2.3 Product Outlook
  • 9.2.4 Key Developments
• 9.3 SAP SE
  • 9.3.1 Overview
  • 9.3.2 Financial Performance
  • 9.3.3 Product Outlook
  • 9.3.4 Key Developments
• 9.4 Ericsson
  • 9.4.1 Overview
  • 9.4.2 Financial Performance
  • 9.4.3 Product Outlook
  • 9.4.4 Key Developments
• 9.5 Cisco Systems Inc.
  • 9.5.1 Overview
  • 9.5.2 Financial Performance
  • 9.5.3 Product Outlook
  • 9.5.4 Key Developments
• 9.6 Eaton Corporation
  • 9.6.1 Overview
  • 9.6.2 Financial Performance
  • 9.6.3 Product Outlook
  • 9.6.4 Key Developments
• 9.7 Schneider Electric Company
  • 9.7.1 Overview
  • 9.7.2 Financial Performance
  • 9.7.3 Product Outlook
  • 9.7.4 Key Developments
• 9.8 Capgemini
  • 9.8.1 Overview
  • 9.8.2 Financial Performance
  • 9.8.3 Product Outlook
  • 9.8.4 Key Developments
• 9.9 Oracle Corporation
  • 9.9.1 Overview
  • 9.9.2 Financial Performance
  • 9.9.3 Product Outlook
  • 9.9.4 Key Developments
• 9.10 Infosys
  • 9.10.1 Overview
  • 9.10.2 Financial Performance
  • 9.10.3 Product Outlook
  • 9.10.4 Key Developments

10 Appendix

• 10.1 Related Research