Smart meters - The Sustainability Management Wiki

Authors: Yelyzaveta Goloshchuk, Kathrin Haase
Edited by: –
Last updated: January 2, 2026

Executive summary

Smart meters are digital devices that measure and transmit real-time energy consumption data, enabling improved billing accuracy, operational efficiency, and consumer engagement. They play a critical role in modernizing energy systems by supporting smart grids, integrating renewable energy, and enhancing demand-side management.

Historically, metering evolved from mechanical systems to digital smart meters, driven by technological advancements and the need for grid optimization. Global adoption has accelerated, with over one billion devices installed by 2023, though regional disparities remain due to economic and regulatory factors.

Economically, smart meters involve higher upfront costs compared to analog meters but offer long-term savings through efficient grid control and dynamic pricing. Market forecasts predict significant growth, with Asia-Pacific leading adoption.

Ecologically, smart meters reduce energy demand and carbon emissions by promoting informed consumption and enabling renewable integration. However, environmental challenges persist in production and disposal phases, requiring sustainable manufacturing and recycling practices.

Socially, smart meters enhance consumer awareness and create jobs but raise concerns about privacy, health, and social inequality. Transparent communication and regulatory safeguards are essential for acceptance.

Politically, rollout strategies and data privacy regulations vary globally. While the EU enforces strict privacy laws, the U.S. relies on state-level guidelines. Harmonized policies and technological safeguards are critical for secure and equitable implementation.

1 Description and history

1.1 Definition

Smart meters are becoming an increasingly relevant technology on the energy market, when it comes to ensuring an affordable, reliable, and sustainable energy supply.¹ They are digital devices that measure and record electricity, water or gas consumption and make the data available to utility companies and consumers in real time.² Data is mainly collected for purposes of billing, operations and value-added services.³ A smart meter consists of a digital meter with a smart meter gateway, which is the component making communication possible. Smart electricity meters – the focus of this wiki entry – measure voltage and current through sensors, which are then multiplied to obtain the energy consumption (in watts). The communication component is unique to smart meters and functions through different mechanisms like short-range infrared, radio frequency signals, broadband connections, power line communication cellular networks.¹ Smart meters are also equipped with additional features compared to mechanical or electromechanical meters like higher reliability and accuracy, anti-tampering functions, self-calibration and security. The key differences to traditional analog metering are that the consumption data is directly provided to utilities and data is available in real-time (15-minute intervals) in contrast to monthly or annual meter readings. Smart meters not only measure power consumption, but also power export, which is especially important for so-called prosumers – households that do not just consume energy but also produce energy (e.g. through solar panels).⁴

A great advantage brought on by the spread of smart meters is the introduction into smart grids. Smart grids are focused on energy efficiency and demand-sided management.⁵ The traditional power grid was designed to carry power from central generators to the users.⁶ With an increase of decentralized generators due to the energy transition, requirements for the energy grid have changed over time. To combat these challenges, smart grids are supposed to improve power reliability, integrate renewable energy, enhance grid security and optimize infrastructure use.⁷ To achieve this, a two-way energy and information flow is crucial, as users are often not just users anymore, but can become so-called prosumers. Smart meters are a useful tool to support a two-way information flow.

1.2 History

To understand the need for digitalization of the energy system, historical development must be considered. One of the first practical electricity meters was the Edison electrolytic meter (1881), which measured consumption via electrolysis.⁸ In 1888, Oliver B. Shallenberger introduced the induction watt-hour meter, improving accuracy and durability, becoming the standard in the early 20th century. Throughout the 20th century, electromechanical meters have dominated electricity measurement. These meters, including the Ferraris-type meter, recorded energy use on mechanical dials and were widely adopted due to their reliability. With semiconductor advancements, electronic meters emerged in the 1980s, offering higher accuracy and remote readability. By the 1990s and 2000s, digital meters replaced mechanical dials, enabling automated meter reading (AMR) for efficient data collection.

Since the 2000s and 2010s smart meters have been on the rise. The global smart meter market has grown significantly, with over 1.06 billion smart meters (electricity, water, gas) installed by the end of 2023.⁹ North America leads with a 77 % penetration rate, while Europe and East Asia also have high adoption. In contrast, Latin America, Africa, and South Asia lag but present high-growth potential as governments seek to modernize aging infrastructure. By 2030, the smart meter market is expected to reach 1.75 billion devices, with smart electricity meters leading adoption. Regulatory policies and financial incentives have driven adoption, particularly in China, Japan, and the EU. However, cost barriers, regulatory uncertainties, and project complexity have slowed progress in Latin America, Africa, and South Asia. Despite regional differences, smart meter deployment is advancing globally, supporting grid modernization, energy efficiency, and digital transformation in the utility sector.

2 Economic performance

2.1 Development of costs

Compared to conventional analog meters, the purchase, installation and maintenance costs of smart meters are generally higher. The higher acquisition costs result from the more complex technology, which integrates digital measurement and communication functions. While analog meters only record current consumption mechanically, smart meters enable continuous and remote readout of consumption data, which requires additional electronic components and a network infrastructure.¹⁰ The installation costs are relatively high, as smart meters often require more complex commissioning and, if necessary, adaptation of the existing infrastructure. This can result in additional expenses, particularly in older buildings.¹¹ As mentioned, there are also differences in terms of maintenance costs: While analog meters usually only rarely need to be maintained or replaced due to their simple mechanics, smart meters require regular software updates and are more susceptible to technical faults or network failures.¹²

The cost-effectiveness of smart meters compared to conventional analog meters varies internationally and depends on several factors, including the specific framework conditions of the respective country, the implementation of dynamic electricity tariffs and the level of electricity prices.¹³ For this reason, amortization periods are difficult to compare. An analysis of the regulation of smart meters in various European countries shows that the cost-benefit analyses differ depending on national circumstances. In countries with high electricity prices and a strong focus on renewable energies, the use of smart meters can be more economical.¹⁴ Considering this, in some countries, the use of smart meters can result in long-term savings. For example, through more efficient grid control, which reduces the financial burden on both grid operators and consumers.

However, the development of technology prices over time shows that economies of scale, mass production and technological maturity can lead to a reduction in the cost of smart meters. As the devices become more widespread and standardized, production costs fall, which has a positive effect on purchase prices. In addition, ongoing technological development is helping to make smart meters more efficient and cheaper. These factors could make investing in smart meters economically viable for a larger number of households in the future.¹⁵

The use of smart meters also opens up considerable economic savings potential for utility companies.¹² One of the most important effects is the increase in efficiency in grid control. Smart meters lead to a better distribution of loads and more efficient use of the electricity grid. By continuously monitoring energy consumption, bottlenecks can be identified and rectified at an early stage, thus avoiding costly grid reinforcements or emergency measures. Intelligent load control offers particularly significant savings potential.¹⁶ By precisely analyzing consumption patterns, grid operators can identify peak loads and reduce them through targeted consumption control. Intelligent load control through smart meters can not only help to relieve the load on the grids but also enables flexible pricing that allows consumers to shift their energy consumption to times of low demand. This leads to a more stable grid frequency and better use of existing infrastructure, which can reduce the cost of providing additional capacity.

An economic indicator for evaluating smart meters systems is the Levelized Cost of Electricity (LCOE), which indicates the average cost of providing electricity over the entire service life of a technology.¹⁷ While the acquisition costs of smart meters are higher compared to analog meters, they enable long-term savings through more accurate consumption recording and intelligent load control.¹² Studies show that although the LCOE for smart meters systems is initially higher, it can be offset by efficiency gains and better grid control. Compared to classic Ferraris meters or non-digitalized load management systems, smart meters offer more precise consumption measurements, which help to reduce grid losses and operating costs. As a result, they not only improve economic efficiency for end consumers, but also for energy suppliers, who can reduce costs through automated processes and optimized grid utilization.

2.2 Market and industry performance

Market research companies forecast that the market for smart meters will grow from USD 22.8 billion in 2023 to USD 50.35 billion in 2032, with a compound annual growth rate (CAGR) of 9.2 % between 2024 and 2032.¹⁸ The Asia-Pacific region was particularly dominant, recording the largest revenue in 2023 with a market share of 47.2 %, while Europe is forecast to see remarkable growth in the coming years.

The three most important players in the smart meters sector are Landis+Gyr, Itron and Siemens. Landis+Gyr is a leading provider of intelligent metering solutions and smart meters technologies, operating in many markets worldwide. The company has established itself through the development of innovative metering technologies and data analysis solutions.¹⁹ Itron is another global provider active in various sectors such as energy, water and gas with its smart metering systems and data collection solutions. Itron is characterized, among other things, by the integration of data exchange systems.²⁰ Siemens, with its Smart Infrastructure division, also offers smart metering systems and plays a central role in the digitalization of energy infrastructures.²¹

2.3 Current status of the worldwide rollout of smart meters

*Figure 1: Deployment to date of residential smart meters, 2021/22*

The chart illustrates the different levels of penetration of smart meters in households worldwide in 2021, with China taking a leading role as almost all households are equipped with smart meters, indicating extensive government support and advanced digitalization of the energy sector.²² Japan and the USA are also very advanced in their smart meter rollout, with Japan achieving coverage of around 80 to 90 %, while the USA is at around 60 to 70 %. These countries have implemented extensive infrastructure programs and regulatory measures to accelerate the introduction of smart meters.

In the European Union, the rollout advancement is lower at around 50 to 60 %, which can be explained by different national strategies within the member states. While some countries have made great strides in the process of implementing smart meters, others are lagging behind. Smart meters rollout is significantly lower in regions such as the Middle East, Africa, South and Central America and India. Here, economic and infrastructural challenges are major obstacles to a nationwide rollout.

Overall, the chart shows that economically developed countries with targeted digitalization and energy efficiency strategies have a significantly higher penetration rate of smart meters than developing and emerging countries, where financial and technological hurdles are slowing down progress.

3 Ecological performance

3.1 Reduced energy demand

Smart metering enables real-time data exchange between consumers and utility providers, offering detailed insights into both past and present energy consumption patterns.²³ Through inhome displays or mobile applications, users can actively monitor their electricity usage, allowing them to track changes in energy consumption and associated costs as they occur. This enhanced visibility helps households identify energy-intensive activities, adjust their daily consumption habits, and make more informed decisions regarding appliance usage. As a result, smart metering contributes to lower electricity bills and a reduced carbon footprint. Several studies have attempted to quantify the demand reduction through smart metering.²⁴ ²⁵ Although the findings vary, they tend to show demand reductions between three and 13 %. However, the effectiveness of smart metering in reducing energy demand appears to be highly dependent on how the transition is communicated to consumers. The AECOM Energy Demand Research Project highlighted that when the installation of smart meters is actively promoted with clear communication about energy-saving benefits, households tend to engage with the technology and reduce their consumption.²⁶ In contrast, when meters are simply replaced as part of routine upgrades without consumer engagement, no significant reduction in demand was observed.

Dynamic pricing, enabled by the widespread adoption of smart meters, encourages consumers to modify their energy consumption in response to fluctuating electricity prices.²⁷ By providing real-time data, smart meters facilitate demand response, allowing consumers to make more informed decisions about their energy usage. However, the effectiveness of dynamic pricing is influenced not only by technological advancements but also by consumer behavior, which plays a crucial role in determining engagement with smart energy systems. Time-of-Use tariffs have been shown to significantly impact electricity demand by promoting peak clipping, load shifting, and strategic conservation. Among these, load shifting and strategic conservation have demonstrated the most substantial effects, as they encourage consumers to shift energy-intensive activities to off-peak hours or adopt more energy-efficient habits. However, rebound effects may arise, where initial reductions in electricity consumption are later counterbalanced by increased usage at other times, diminishing the long-term benefits of these pricing strategies. While short-term studies indicate that consumers generally respond to dynamic pricing signals, further research is necessary to assess whether these behavioral changes persist over time.

Energy savings strongly suggest carbon savings but data regarding carbon savings remains limited. The UK’s cost-benefit analysis (CBA) is the only formal CBA estimating emission reductions, projecting 11.2 million tons of traded carbon savings for smart electricity meter programs.²⁸

3.2 Grid optimization and renewable energy integration

With a globally increasing energy demand and the changes brought on by the spread of renewable energies, the power grid is becoming more complex and less predictable.²⁹ Therefore, more advanced technologies are required to optimize the grid, as traditional grids are limited in their ability to support renewables and manage grid stability, causing vulnerabilities to disturbances leading to cascade failures or blackouts.³⁰ Smart grids – including sensing and communication technologies – were developed to address these challenges. A smart grid is an advanced electrical network that incorporates information technology, two-way secure communication, and computational intelligence across the entire energy system, from power generation to consumption points.⁴ It leverages modern communication tools, multi-tariff meters, and power distribution equipment to optimize efficiency and reliability in energy generation, transmission, distribution, and consumption. Key features include remote monitoring, coordinated control, and self-monitoring/self-healing capabilities. The smart grid also facilitates the integration of renewable energy and distributed energy sources while enabling data exchange with electric vehicles. Smart meters play a critical role in this system by providing real-time data on energy usage, enabling demand response programs, and enhancing the flexibility and efficiency of the grid.³¹ Therefore, smart meters play an important role in the energy transition, which positively impacts ecological performance.

3.3 Environmental challenges

Despite the aforementioned ecological benefits, potential challenges also need to be considered. To do this, it makes sense to examine the life cycle of smart meters. Rizwan et al. published a comparative life cycle analysis between conventional (CM) and smart energy meters (SM) in 2022.³² It examines both systems’ raw material acquisition, manufacturing and assembly processes, as well as their use phases and disposal phases. The assessed impact categories are climate change potential (CCP), ozone depletion potential (ODP), terrestrial ecotoxicity potential (TETP), terrestrial acidification potential (TAP), fossil resource scarcity (FFP) and water consumption potential (WCP). The findings are summarized in figure 2.

*Figure 2: Impact analysis of smart meters 33*

These findings show that smart meters offer significant environmental benefits compared to conventional meters, primarily through reduced greenhouse gas emissions and improved energy efficiency. By eliminating the need for manual meter readings and optimizing electricity distribution, smart meter lower fossil fuel dependence and help mitigate climate change.³³ Their ability to provide real-time energy data also reduces energy losses and prevents electricity theft, contributing to a more sustainable energy system.

However, the environmental advantages of smart meters come with trade-offs. The production phase has the highest environmental impact, mainly due to the manufacturing of printed circuit boards (PCBs) and microprocessors.³⁴ These components contribute significantly to ozone depletion, acidification, and water pollution, as they require energy-intensive processes and hazardous chemicals. Additionally, smart meter production consumes large amounts of water, particularly in PCB fabrication, which raises concerns about water scarcity.³⁵ Implementing sustainable manufacturing practices, such as water-saving technologies and cleaner production methods, can help mitigate these effects.

At the end of their life cycle, smart meters present both opportunities and challenges. While they have a greater potential for recycling than conventional, inadequate e-waste management – especially in developing countries – can offset their ecological benefits.³⁶ Toxic materials such as heavy metals and flame retardants can pose serious environmental and health risks if not properly handled.³⁷ Strengthening recycling infrastructure and promoting responsible e-waste management will be essential to maximizing the sustainability of smart meters.

Overall, smart meters represent a step toward a more sustainable energy system by reducing emissions and optimizing resource use.³² However, addressing the environmental impact of their production and disposal is crucial for ensuring their long-term ecological benefits. A life-cycle approach that emphasizes sustainable manufacturing and efficient recycling will be key to enhancing their overall environmental performance.

4 Social impact

4.1 Social acceptance and perception

The social acceptance of smart meters varies internationally and is influenced by various factors such as the level of information, cost perception, data protection concerns and regulatory requirements.³⁸ Studies show that acceptance is higher in countries with clear economic benefits and transparent communication strategies. Consumers are more likely to accept the technology if they benefit directly from savings and if the introduction is accompanied by comprehensive information campaigns.

Surveys also show that attitudes towards smart meters are strongly dependent on the perceived control over one’s own energy consumption.³⁹ In countries with dynamic electricity tariffs supported by smart meters, there is greater acceptance among consumers as they can actively reduce costs. However, there are still concerns about data protection and security, especially in regions with less stringent regulatory frameworks.

In order to increase acceptance, experts recommend greater consumer involvement in the introduction process, transparent information on potential savings and clear data protection guidelines.³⁸ ⁴⁰ In countries where the introduction of smart meters is accompanied by incentives such as subsidies or benefits for users, approval of the technology is higher.⁴¹ This makes it clear that not only technical, but also social and economic aspects are decisive for the success of the implementation.

4.2 Positive social effects

The use of smart meters has several positive social effects that go beyond purely technical or economic benefits. Firstly, the increased transparency makes consumers more aware of their individual energy consumption.⁴² With the help of real-time data, users can better understand their consumption patterns and make targeted adjustments, which leads to more sustainable use and a reduction in energy costs in the long term. A study by the International Energy Agency shows that consumers who actively monitor their energy consumption can achieve savings of up to ten percent.

On the other hand, optimized energy consumption through smart meters leads to economic relief for households.⁴³ The ability to use dynamic electricity tariffs based on real-time data enables consumers to cut costs and reduce their monthly energy bills. In its analyses, the European Commission points out that smart metering systems can contribute to a significant reduction in energy consumption in the long term.

Finally, the introduction of smart meters contributes to job creation. The expansion and operation of the smart meter infrastructure requires specialized personnel for installation, maintenance and data analysis.¹² The ongoing digitalization of the energy market is opening up new professional fields and thus also providing positive impetus for the labor market in the long term.

Overall, these positive social effects – from better consumption control and economic savings to the creation of new jobs – not only support more sustainable energy use but can also strengthen social commitment and confidence in the energy transition.

4.3 Negative social aspects

In addition to the positive aspects, the use of smart meters also has various negative social effects. Acceptance problems cannot be ruled out in certain population groups due to existing reservations about smart meters.⁴¹ Frequent concerns relate to possible higher costs and data protection issues. Perceived risks, such as increased costs and data protection concerns, can affect the acceptance of new technologies such as smart meters.

Some smart meter systems use high-frequency electromagnetic fields for wireless data transmission.⁴⁴ Consumers who are critical of smart meters express concerns about the electromagnetic fields generated by smart meters and the associated potential health risks. Although scientific studies usually classify these fields as harmless, such concerns can minimize the acceptance of the technology.⁴⁵ Here too, better education about the systems and the provision of summarized information for consumers can help to dispel misinformation.³⁸

Another negative aspect of smart meters is social inequality.⁴⁶ The transition to smart meters could disadvantage households without access to and understanding of modern technology, which can lead to social inequality. This particularly affects low-income households or older people who have difficulty using digital systems.⁴⁷ In addition, the switch to smart meters can lead to higher basic charges, which are particularly burdensome for financially weaker households. Low-income consumers are not always in a position to benefit from the potential savings of smart meters, as they often have less scope for flexible electricity tariffs.⁴⁸

These negative social aspects highlight the need to consider not only technical and economic factors when introducing smart meters, but also to take the social implications and concerns of consumers seriously.

5 Political and legal aspects

5.1 Policy measures

As the introduction of smart metering infrastructures is discussed globally, this section aims to examine different governmental approaches to this topic. The European Union for example set a goal that in cases where smart meters are a cost-effective option, at least 80 % of households should be equipped with smart electricity meters by 2020.⁴⁹ However, the implementation across Member States has been very uneven, with different rollout strategies adopted in each country. An example for a very progressive rollout strategy is Italy, where deployment of smart meters started in 2008 and was already 95 % complete by the end of 2011.⁵⁰ Spain is another example of a rather quick smart meter rollout. Following a ministerial order in 2007, it aimed to equip all households with smart meters by the end of 2018.⁵¹ Spain however has not conducted a cost-benefit analysis on a national scale to determine economic viability.⁵² Another approach is the conduction of a cost-benefit analysis prior to the rollout. This approach was used for example by Germany.⁵³ Germany’s rollout strategy used to focus on the implementation in new buildings and major consumers when it is technically and economically feasible.⁵⁴ Furthermore, economic sustainability was a focus point of Germany’s strategy rather than a large-scale deployment, as not all smart meters will directly be fully integrated into smart metering infrastructures.¹⁰ With a new law however, Germany aims to speed up the rollout process and the overall digitalization of the energy transition.⁵⁵ From January 2025, there is a mandatory rollout of smart meters for consumers with energy consumption over 6,000 kilowatt hours (kWh) per year and producers with an installed capacity over seven kilowatts (kW). Customers below these thresholds have the possibility to voluntarily request a smart meter. These examples show different strategies even just within the European Union, but also globally. Overall, while some countries have rapidly adopted smart meters, others have taken a more cautious approach, balancing economic feasibility, consumer engagement, and regulatory challenges.

Besides a rollout strategy including mandatory smart meter rollout targets or a partial and conditional smart meter rollout, other policy measures can be installed, including:⁵⁶

• Cost recovery for smart meters
• Quality incentives
• Minimum functional requirements
• Privacy and data security policies
• Regulation regarding smart meter ownership and liability
• Policies that maximize consumer benefits from smart meters

5.2 Data privacy regulations

With the large amounts of data generated by smart meters, data privacy and cybersecurity concerns are important topics. These privacy concerns have even delayed the smart meter rollout in some countries.⁵⁷ The plethora of collected data could be used to gain information about a household’s occupancy, interests or economic status.⁵⁸ ⁵⁹ These threats highlight a need for a data governance framework.

Privacy can be distinguished into two notions. Firstly, cryptographical privacy which ensures that an algorithm only reveals as much information as is strictly necessary to produce its result.⁶⁰ Secondly, statistical privacy ensures that the results of an algorithm do not reveal sensitive details about specific individuals in a dataset.⁶¹ To fully protect private information, both notions of privacy must be addressed.

There are rather technological approaches to the topic: Smart meters are vulnerable to physical and software attacks, risking data manipulation, electricity theft, and grid disruptions.³ Since physical protection is impractical, access control, secure firmware verification, remote attestation, and secure logging are essential. Encryption methods like PKI secure data transmission, but certificate revocation and cloud storage security remain challenges. Techniques such as homomorphic encryption and data obfuscation enhance privacy but often reduce efficiency. Even encrypted data can be vulnerable to statistical attacks. Consumer consent and access control are critical, especially for value-added services. Fine-grained access control is complex and may introduce privacy risks. Verifying whether data is processed according to consent remains unresolved. Data integrity and auditing are vital for billing and grid management. PKI-based methods protect data but may expose identities. Anonymous authentication offers an alternative but has efficiency issues. Public auditing of encrypted data remains an open problem. These technological approaches could be turned into legal requirements to ensure data security. Besides these possible technological approaches, there are already policies in place. The European Data Protection Supervisor for example has confirmed that data processing must comply with EU data protection laws, including Directive 95/46/EC and the e-Privacy Directive.⁶² Under EU policy, collecting personal data is prohibited unless explicitly justified by law.⁶³ Entities must demonstrate that the data is essential for a specific purpose, such as a Distribution System Operator (DSO) using smart meter data to maintain grid stability. Additionally, data collected for one purpose (e.g., billing) cannot be repurposed (e.g., consumer profiling) without separate authorization. In contrast, the U.S. lacks federal regulations on smart meter data privacy.⁶⁴ While the NIST issued privacy guidelines in 2010, regulations vary by state, creating a fragmented legal landscape.⁶⁵ Some states, like California, have introduced specific privacy rules. To address inconsistencies, the U.S. Department of Energy released a voluntary code of conduct for utilities and third parties, aligning with EU privacy principles.⁶⁶ The aforementioned examples show how the regulation of smart meter data privacy differs across regions. These differences shape how smart meter data is managed, influencing compliance requirements for utilities and third parties.

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