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Smart meters market seen reaching $52 billion by 2034

May 8, 2026
Smart meters market seen reaching $52 billion by 2034

By AI, Created 10:16 AM UTC, May 20, 2026, /AGP/ – IMARC Group says the global smart meters market reached $28.6 billion in 2025 and is on track to hit $52.0 billion by 2034, driven by government mandates, utility modernization and wider adoption of AMI systems. Residential customers and Asia Pacific account for the biggest shares of the market, while IoT and AI features are reshaping the technology stack.

Why it matters: - Smart meters are becoming core infrastructure for utilities that need real-time usage data, two-way communication and better grid management. - The market’s growth reflects a broader shift toward energy efficiency, renewable integration and digital utility operations. - The expansion could accelerate deployment in homes, cities and industrial systems as utilities replace legacy meters.

What happened: - IMARC Group said the global smart meters market reached $28.6 billion in 2025. - The market is expected to reach $52.0 billion by 2034. - IMARC Group projects a compound annual growth rate of 6.88% from 2026 to 2034. - The report highlights residential end use as the largest segment, with a 71.4% share. - Asia Pacific leads regional demand with a 44.6% share. - AMI, or advanced metering infrastructure, is the leading technology segment. - Smart electricity meters are the top product category.

The details: - Smart meters measure electricity, gas and water consumption in real time. - Smart meters enable two-way communication between consumers and utility providers. - Government mandates and energy-efficiency rules remain a major driver of adoption. - The European Union’s Clean Energy Package targeted 80% coverage across member states. - India’s Smart Meter National Program aims to deploy more than 250 million units by 2030. - Aging utility infrastructure is pushing modernization spending. - U.S. energy infrastructure is reported to be more than 70% older than 25 years. - Annual grid disruption costs in the U.S. are estimated at $1.2 billion. - Renewable energy integration is increasing demand for real-time monitoring and dynamic grid management. - IoT-enabled meters are being used in smart city systems, home automation, commercial energy management and industrial control networks. - AI and machine learning are being embedded in metering platforms for predictive analytics, anomaly detection and demand forecasting. - AMI is replacing legacy automatic meter reading systems because AMI supports two-way communication, remote control and real-time data. - Large-scale AMI rollouts by LUMA in Puerto Rico and SGCC in China are shaping next-generation utility infrastructure.

Between the lines: - The report points to a market moving beyond simple measurement toward software-driven energy management. - The strongest demand appears to be coming from regions and segments where governments are pushing modernization fastest. - Asia Pacific’s lead reflects both policy support and manufacturing scale, which can lower costs and speed deployment. - The rise of AI and IoT suggests smart meters are becoming part of broader digital utility platforms, not isolated devices.

What’s next: - Governments and utilities are likely to keep driving deployments through mandated rollouts and grid investment programs. - The market should see continued expansion of AMI, especially in regions modernizing old infrastructure. - Growth is likely to remain concentrated in residential deployments, smart electricity meters and Asia Pacific markets. - The shift toward IoT- and AI-enabled metering is expected to deepen as utilities look for more granular consumption data and automation.

The bottom line: - Smart meters are moving from utility upgrade to essential digital infrastructure, with regulation, grid modernization and data analytics set to keep the market growing through 2034. - Download the free sample report - View the full report

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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