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Smart Grid Analytics Market Size & Share 2025 - 2034

Market Size by Component, by Application, by Type, Analysis, Share, & Forecast.

Report ID: GMI14181
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Published Date: June 2025
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Report Format: PDF

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Smart Grid Analytics Market Size

The global smart grid analytics market size was valued at USD 8.1 billion in 2024 and is estimated to reach USD 13.5 billion by 2034, growing at a CAGR of 5.3% from 2025 to 2034. Market players are actively forming strategic alliances, partnerships, and acquisitions to expand their technological capabilities and market reach. The increasing deployment of IoT devices and cloud computing platforms also lowers barriers to adopting advanced analytics solutions, making them more accessible to utilities of different sizes.

Smart Grid Analytics Market Key Takeaways

Market Size & Growth

  • 2024 Market Size: USD 8.1 Billion
  • 2034 Forecast Market Size: USD 13.5 Billion
  • CAGR (2025โ€“2034): 5.3%

Key Market Drivers

  • Increasing need to digitalize the power sector.
  • Favourable government regulations and mandates.

Challenges

  • Rising cyber attacks.

The smart grid analytics market is experiencing rapid growth driven by the increasing adoption of smart grid technologies, rising energy consumption, and the urgent need for efficient, reliable, and sustainable energy management solutions. As the global focus shifts toward renewable energy integration and decarbonization, utilities and energy providers are investing heavily in advanced analytics to optimize grid operations and enhance grid resilience.
 

In 2024, the renewable energy sector saw significant growth globally, with India leading the way in capacity additions. India's renewable energy capacity increased by 24.2 GW in a year, reaching 203.18 GW. Global renewable energy capacity expanded at the highest rate ever recorded, with Asia contributing the largest share. The share of renewables in global electricity generation also rose to approximately 31.9%.
 

One of the primary factors fueling market growth is the proliferation of smart meters and sensors across power networks. These devices generate vast amounts of real-time data on energy usage, grid conditions, and equipment performance. Advanced analytics platforms leverage this data to enable predictive maintenance, detect faults early, and optimize energy distribution. This not only reduces operational costs but also improves service reliability, which is crucial as customer expectations rise.
 

Furthermore, the increasing integration of renewable energy sources such as wind and solar introduces variability and complexity into grid management. The U.S. solar module manufacturing industry experienced record growth in 2024. Domestic module manufacturing capacity grew 190% year-over-year, from 14.5 GW at the end of 2023 to 42.1 GW at the end of 2024. This figure has grown to over 50 GW in early 2025. Therefore, the demand for smart grid analytics will increase in coming years.
 

Smart Grid Analytics Market

Smart Grid Analytics Market Trends

  • One prominent trend is the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML). These technologies enable predictive analytics for fault detection, predictive maintenance, and demand forecasting with higher accuracy. AI-driven algorithms analyse vast datasets from smart meters, sensors, and IoT devices to identify patterns, optimize grid operations, and prevent outages. This move toward intelligent automation reduces operational costs and enhances grid reliability.
     
  • Another significant trend is the rise of big data analytics. With the proliferation of IoT devices across the grid, enormous volumes of real-time data are generated. Advanced analytics platforms now leverage big data tools to process, analyse, and visualize this information efficiently. This capability supports real-time decision-making, dynamic pricing, and demand response programs, which are crucial for integrating renewable energy sources and managing load variability.
     
  • The integration of renewable energy sources continues to influence market trends. Smart grid analytics are increasingly tailored to handle the intermittency and unpredictability of wind and solar power. In Europe, electricity generation in the Wind Energy market is projected to amount to 655.81bn kWh in 2025. Wind energy is abundant across many parts of Europe. It is a cost-effective way of generating electricity from a resource that will never be depleted.
     
  • Similarly, in 2024, China significantly expanded its wind energy capacity, reaching approximately 521 gigawatts. This represents a substantial increase, with the country adding 80 GW of new wind capacity, an 18% increase, in 2024. These projects will also create the huge demand of smart grid analytics in coming years, thereby driving its market across the world.
     
  • Another notable trend is the shift toward decentralized energy management and prosumer engagement. As consumers become producers (prosumers), managing bidirectional energy flows requires advanced analytics solutions capable of handling complex data and interactions. This fosters the development of local energy markets, peer-to-peer trading, and demand-side management strategies facilitated by smart analytics.
     

Smart Grid Analytics Market Analysis

Smart Grid Analytics Market Size, By Component, 2022 - 2034 (USD Billion)
  • The global market for smart grid analytics was valued at USD 7.5 billion in 2022, USD 7.8 billion in 2023, and reached USD 8.1 billion in 2024 owing to the growing emphasis on automation, real-time monitoring, and the modernization of utility infrastructure across the globe. The consistent year-on-year growth reflects the increasing deployment of smart grid analytics in critical sectors such as power distribution, water and wastewater management, oil & gas, and transportation.
     
  • Based on the component, the software segment is expected to exceed USD 8.7 billion by 2034, driven by rapid digital transformation across industries. The integration of AI and machine learning, the growing adoption of cloud computing, and the expansion of IoT and Industry 4.0 initiatives, are increasing the demand for advanced, scalable, and industry-specific software solutions.
     
  • Based on the component, the services segment is set to cross USD 4.5 billion by 2034 due to the rising demand for consulting, implementation, and maintenance services. These are mainly driven by digital transformation initiatives, the need for specialized expertise to deploy advanced technologies like AI, IoT, and cloud solutions, and the increasing reliance of businesses on managed services to optimize operations, enhance cybersecurity, and ensure seamless integration of new systems.
     
  • The rising investment in the energy sector is also creating huge benefits for the smart grid analytics market to grow in coming years. In 2024 China's clean energy investment was more than USD 625 billion, almost doubling since 2015. China also achieved its 2030 wind and solar capacity target in 2024, six years ahead of schedule.
     
  • Countries are investing significantly in energy sector, thereby increasing the need for the distribution substations in multiple industries. From 2021 to 2023, average annual clean energy investment in Japan and Korea increased by around 40% and 10%, respectively, compared with the 2016-2020 average. Similarly, in China, in 2024, total engagement in the energy sector approached USD 40 billion.

 

Smart Grid Analytics Market Share, By Application, 2024
  • Based on application, the AMI analytics segment is projected to grow with CAGR of 5.2% till 2034 owing to its ability to optimize energy consumption, improve grid reliability, enhance predictive maintenance, enable real-time data insights, and support smart grid initiatives. These benefits are driving increased adoption among utilities and energy providers seeking to improve operational efficiency and customer service.
     
  • The rise of smart grid initiatives further accelerates demand, as AMI analytics supports better integration of renewable energy sources, distributed energy resources, and energy storage systems. Increasing regulatory pressures for energy efficiency and the growing consumer interest in energy management tools also contribute to the segmentโ€™s expansion.
     
  • Grid monitoring segment holds the overall market size of 25% in 2024 owing to the increasing need for real-time grid visibility and enhanced reliability. Factors such as the integration of renewable energy sources, the modernization of aging infrastructure, and the rising frequency of outages and faults have driven utilities to adopt advanced monitoring solutions.
     
  • The investment in the energy sector is rising on a large scale, thereby driving the overall smart grid analytics market. As per reports, U.S. total energy production was more than 103 quadrillion British thermal units in 2024. Also, it accounts for 15% of global clean energy investment.
     
  • In 2024, the U.S. oil and gas industry achieved record-high outputs, with crude oil production reaching 13.2 million barrels per day and natural gas averaging 113 billion cubic feet per day. This surge in production has amplified the need for advanced monitoring and automation solutions, thereby boosting the demand for smart grid analytics.

 

U.S. Smart Grid Analytics Market Size, 2022 - 2034, (USD Billion)
  • The U.S. smart grid analytics market was valued at USD 2.1 billion in 2022, USD 2.2 billion in 2023 and reached USD 2.3 billion in 2024. This growth is primarily driven by the increasing adoption of smart grid technologies to enhance grid efficiency, reliability, and security. Rising investments in infrastructure modernization, the integration of renewable energy sources, and the need for advanced data analytics to monitor and manage complex grid operations are key factors fueling this expansion.
     
  • As of 2024, the U.S. economy has a nominal GDP surpassing USD 29 trillion, constituting more than 25% of the world's total economic output. Moreover, in Q4 2024, the economy achieved a real GDP growth rate of 2.4%. U.S. listed equities make up 74% of the global market capitalization, highlighting the nation's significant influence and dominance in international financial markets.
     
  • Similarly, in 2024, the UK GDP was USD 3.6 trillion, representing a nominal value of USD 2.6 trillion. The UK has a strong track record of innovation in energy management, data analytics, and smart grid technologies, contributing to advancements that benefit both domestic and global markets. Progressive policies and regulations aimed at promoting renewable energy, smart infrastructure, and digital transformation create a favorable environment for market growth and collaboration.
     
  • The Middle East holds strategic importance in the global smart grid analytics market due to its abundant oil and gas resources, ongoing diversification efforts, and increasing investments in renewable energy projects. Countries like Saudi Arabia, the UAE, and Qatar are advancing smart infrastructure to enhance energy efficiency and support sustainable development.
     
  • Latin America is increasingly important in the global smart grid analytics market due to its growing focus on renewable energy, grid modernization, and technological adoption. Countries like Brazil, Mexico, and Chile are investing in smart infrastructure to improve energy efficiency, reduce losses, and integrate renewable sources such as wind and solar. The regionโ€™s expanding energy demand, coupled with government initiatives and international funding, accelerates the adoption of smart grid solutions.
     

Smart Grid Analytics Market Share

Honeywell, Itron, Schneider Electric, and Siemens are the leading firms in the smart grid analytics industry, controlling upwards of 25% market share. These companies continue to maintain their commanding market presence due to their long standing experience, global reach, and technological prowess in the industry. Their persistent spending in smart substations, digital solutions, modernized grids, and related technologies further reinforces their ability to shape the competitive landscape of the market.
 

Smart Grid Analytics Market Companies

  • In 2024, ABB had set aside 1.5 billion dollars on research and development spending alongside expansion of facilities on the middle regions of USA and India. The amount of equity funding which ABB allocated for R&D globally reached the figure of USD 1.5 billion which corresponds to 4.5 % of the entire revenue for the company.
     
  • Siemens Energy is focusing and investing strongly in the advanced and efficient electrical infrastructure in order to hold its position in the smart grid market. In 2024, it has unveiled a cutting-edge technology โ€œSICAM Enhanced Grid Sensor (EGS)โ€, which will provide undisturbed, enhanced network transparency to the distributor operators.
     

Major players operating in the smart grid analytics market are:

  • Accenture
  • Anritsu
  • Capgemini
  • Ericsson
  • GE Vernova
  • Hive Power
  • Honeywell
  • IBM
  • Itron
  • Kamstrup
  • Landis + GYR
  • Oracle
  • SAP
  • Schneider Electric
  • Sentient Energy
  • Siemens

Smart Grid Analytics Industry News

  • In October 2024, during Enlit Europe 2024, Schneider Electric unveiled new smart grid application developments that enhance flexibility, net zero demand management, and increase the resilience of the gridโ€™s infrastructure at Enlit Europe 2024. These include Virtual Substations, EcoStruxure DERMS, and the AI satellites for weather monitoring.
     
  •  In February 2024, Siemens announced the launch of its new offering Gridscale X, a modular software product intended for the autonomous management of utility grids and the digital transformation of a utilityโ€™s business processes. It allows for the rapid scaling of operators' capacity, better management of the increasing complexity of distributed energy resources (DERs) and increases the flexibility of the grid simultaneously.
     

This smart grid analytics market research report includes in-depth coverage of the industry with estimates & forecast in terms of โ€œUSD Millionโ€ from 2021 to 2034, for the following segments:

Market, By Component

  • Software
  • Services

Market, By Application

  • AMI analytics
  • Load forecasting and demand response
  • Grid monitoring
  • Predictive maintenance
  • Others

Market, By Type

  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics

The above information has been provided for the following regions and countries:

  • North America
    • U.S.
    • Canada
    • Mexico 
  • Europe
    • UK
    • France
    • Germany
    • Spain
    • Italy
  • Asia Pacific
    • China
    • Australia
    • Japan
    • South Korea
    • India
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
  • Latin America
    • Brazil
    • Chile

 

Authors:  Ankit Gupta, Utkarsh Mahajan

Research methodology, data sources & validation process

This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.

Our 6-step research process

  1. 1. Research design & analyst oversight

    At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.

    Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.

  2. 2. Primary research

    Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.

  3. 3. Data mining & market analysis

    Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.

  4. 4. Market sizing

    Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.

  5. 5. Forecast model & key assumptions

    Every forecast includes explicit documentation of:

    • โœ“ Key growth drivers and their assumed impact

    • โœ“ Restraining factors and mitigation scenarios

    • โœ“ Regulatory assumptions and policy change risk

    • โœ“ Technology adoption curve parameter

    • โœ“ Macroeconomic assumptions (GDP growth, inflation, currency)

    • โœ“ Competitive dynamics and market entry/exit expectations

  6. 6. Validation & quality assurance

    The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.

    Our triple-layer validation process ensures maximum data reliability:

    • โœ“ Statistical Validation

    • โœ“ Expert Validation

    • โœ“ Market Reality Check

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Verified data sources

  • Trade publications

    Security & defense sector journals and trade press

  • Industry databases

    Proprietary and third-party market databases

  • Regulatory filings

    Government procurement records and policy documents

  • Academic research

    University studies and specialist institution reports

  • Company reports

    Annual reports, investor presentations, and filings

  • Expert interviews

    C-suite, procurement leads, and technical specialists

  • GMI archive

    13,000+ published studies across 30+ industry verticals

  • Trade data

    Import/export volumes, HS codes, and customs records

Parameters studied & evaluated

Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →

Frequently Asked Question(FAQ) :
How big is the smart grid analytics market?
The smart grid analytics market was valued at USD 8.1 billion in 2024 and is expected to reach around USD 13.5 billion by 2034, growing at 5.3% CAGR through 2034.
What will be the size of software segment in the smart grid analytics industry?
The software segment is anticipated to cross USD 8.7 billion by 2034.
How much is the U.S. smart grid analytics market worth in 2024?
The U.S. smart grid analytics market was worth over USD 2.3 billion in 2024.
Who are the key players in smart grid analytics market?
Some of the major players in the smart grid analytics industry include GE Vernova, Hive Power, Honeywell, IBM, Itron, Kamstrup, Landis + GYR, Oracle, SAP, Schneider Electric, Sentient Energy, Siemens.
Smart Grid Analytics Market Scope
  • Smart Grid Analytics Market Size

  • Smart Grid Analytics Market Trends

  • Smart Grid Analytics Market Analysis

  • Smart Grid Analytics Market Share

Authors:  Ankit Gupta, Utkarsh Mahajan
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Premium Report Details:

Base Year: 2024

Companies Profiled: 16

Tables & Figures: 19

Countries Covered: 18

Pages: 121

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