세계의 스마트 그리드 분석 시장 : 제공 서비스, 용도, 전개, 유틸리티 유형, 조직 규모별 예측(2025-2030년)

The Smart Grid Analytics Market was valued at USD 7.26 billion in 2023, expected to reach USD 8.15 billion in 2024, and is projected to grow at a CAGR of 12.65%, to USD 16.73 billion by 2030.

Smart grid analytics is an integral domain of the energy sector that focuses on the application of advanced data analysis tools and practices to optimize grid operations. It encompasses a broad range of analytics, from monitoring electricity consumption patterns to predictive maintenance and fault detection. The necessity for smart grid analytics arises from the increasing complexity of electricity generation and distribution networks, heightened by the integration of renewable energy sources and increased demand from electric vehicles. These analytics are applied to enhance the efficiency and reliability of electricity delivery, reduce downtime, and foster advanced demand response strategies. Key end-users include utilities, government agencies, and energy management firms aiming to capitalize on cost savings and operational efficiencies.

Market insights reveal that the growth of smart grid analytics is chiefly influenced by factors such as the rising demand for energy efficiency, an increasing emphasis on carbon footprint reduction, and supportive government regulations promoting smart grid deployment. Opportunities abound mainly in regions undergoing power infrastructure transformation, with significant potential in real-time data analytics, AI-driven predictive insights, and the deployment of IoT-enabled smart devices. Companies can seize these opportunities by investing in AI and machine learning capabilities, forging strategic partnerships with tech firms, and fostering collaborative research initiatives to develop innovative solutions.

However, the market faces limitations such as high initial deployment costs, cybersecurity concerns, and the complexity of integrating legacy systems with modern analytics platforms. Overcoming these barriers requires innovative approaches in cybersecurity frameworks and flexible solution offerings that cater to diverse grid infrastructures. The best areas for innovation and research lie in enhancing cybersecurity measures, improving interoperability standards, and developing scalable analytics solutions that can handle large volumes of real-time data. The smart grid analytics market is dynamic and requires businesses to stay agile, continually adapt to technology advancements, and anticipate regulatory shifts to maintain a competitive edge.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Smart Grid Analytics Market

The Smart Grid Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Growing demand to enhance the efficiency and sustainability of energy consumption and distribution
  • Rise in the adoption of renewable energy sources across the globe
  • Regulatory support and government initiatives to promote the adoption of smart grid technologies
• Market Restraints
  • High initial investment and deployment costs associated with smart grid infrastructure
• Market Opportunities
  • Technological advancements in big data analytics and Artificial Intelligence
  • Expansion of smart city initiatives across the globe
• Market Challenges
  • Data privacy and security concerns associated with smart grid analytics

Porter's Five Forces: A Strategic Tool for Navigating the Smart Grid Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Smart Grid Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Smart Grid Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Smart Grid Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Smart Grid Analytics Market

A detailed market share analysis in the Smart Grid Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Smart Grid Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Smart Grid Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Smart Grid Analytics Market

A strategic analysis of the Smart Grid Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Smart Grid Analytics Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Amperon Holdings, Inc., Capgemini SE, Esmart Systems AS, General Electric Company, Globema sp. z o.o., GridPoint, Inc., Hitachi, Ltd., Hive Power SA, Honeywell International Inc., Infosys Limited, Innowatts, International Business Machines Corporation, Itron, Inc., Kevala Inc., Landis+Gyr, Oracle Corporation, Safegrid, SAP SE, Schneider Electric SE, Sentient Energy, Inc., Siemens AG, SparkMeter Inc., and SteamaCo.

Market Segmentation & Coverage

This research report categorizes the Smart Grid Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Offering, market is studied across Services and Software. The Services is further studied across Managed Services and Professional Services. The Professional Services is further studied across Support & Maintenance, System Integration & Deployment, and Training & Consulting. The Software is further studied across Meter Analytics, Operational Analytics, and Reliability Analytics.
• Based on Application, market is studied across Asset Management, Demand Response Analytics, Energy Forecasting, Grid Optimization, and Network Management.
• Based on Deployment, market is studied across On-Cloud and On-Premises.
• Based on Utility Type, market is studied across Private Utilities and Public Utilities.
• Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing demand to enhance the efficiency and sustainability of energy consumption and distribution
    • 5.1.1.2. Rise in the adoption of renewable energy sources across the globe
    • 5.1.1.3. Regulatory support and government initiatives to promote the adoption of smart grid technologies
  • 5.1.2. Restraints
    • 5.1.2.1. High initial investment and deployment costs associated with smart grid infrastructure
  • 5.1.3. Opportunities
    • 5.1.3.1. Technological advancements in big data analytics and Artificial Intelligence
    • 5.1.3.2. Expansion of smart city initiatives across the globe
  • 5.1.4. Challenges
    • 5.1.4.1. Data privacy and security concerns associated with smart grid analytics
• 5.2. Market Segmentation Analysis
  • 5.2.1. Offering: Growing adoption of meter analytics to improve billing accuracy and customer satisfaction by utility companies
  • 5.2.2. Deployment: Rising deployment of on-premises smart grid analytics due to enhanced security and compliance
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Smart Grid Analytics Market, by Offering

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Managed Services
  • 6.2.2. Professional Services
    • 6.2.2.1. Support & Maintenance
    • 6.2.2.2. System Integration & Deployment
    • 6.2.2.3. Training & Consulting
• 6.3. Software
  • 6.3.1. Meter Analytics
  • 6.3.2. Operational Analytics
  • 6.3.3. Reliability Analytics

7. Smart Grid Analytics Market, by Application

• 7.1. Introduction
• 7.2. Asset Management
• 7.3. Demand Response Analytics
• 7.4. Energy Forecasting
• 7.5. Grid Optimization
• 7.6. Network Management

8. Smart Grid Analytics Market, by Deployment

• 8.1. Introduction
• 8.2. On-Cloud
• 8.3. On-Premises

9. Smart Grid Analytics Market, by Utility Type

• 9.1. Introduction
• 9.2. Private Utilities
• 9.3. Public Utilities

10. Smart Grid Analytics Market, by Organization Size

• 10.1. Introduction
• 10.2. Large Enterprises
• 10.3. Small & Medium Enterprises

11. Americas Smart Grid Analytics Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Smart Grid Analytics Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Smart Grid Analytics Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. Iberdrola and BCAM Partner to Revolutionize Power Grids with AI-driven Data Insights
  • 14.3.2. Siemens Launches Gridscale X, a Leap Towards Autonomous Grid Management and Enhanced Digital Transformation for Utilities
  • 14.3.3. Itron and Schneider Electric Partner to Enhance Smart Grid Through Advanced Data Analytics for Better Management of Distributed Energy Resources
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture PLC
• 2. Amperon Holdings, Inc.
• 3. Capgemini SE
• 4. Esmart Systems AS
• 5. General Electric Company
• 6. Globema sp. z o.o.
• 7. GridPoint, Inc.
• 8. Hitachi, Ltd.
• 9. Hive Power SA
• 10. Honeywell International Inc.
• 11. Infosys Limited
• 12. Innowatts
• 13. International Business Machines Corporation
• 14. Itron, Inc.
• 15. Kevala Inc.
• 16. Landis+Gyr
• 17. Oracle Corporation
• 18. Safegrid
• 19. SAP SE
• 20. Schneider Electric SE
• 21. Sentient Energy, Inc.
• 22. Siemens AG
• 23. SparkMeter Inc.
• 24. SteamaCo