In 2022, the average end-use electricity price in the United States stood at around 12.2 U.S. cents per kilowatt-hour. This figure is projected to decrease in the coming three decades, to reach some 11 U.S. cents per kilowatt-hour by 2050.

Wholesale electricity prices in the United Kingdom hit a record-high in 2022, reaching **** British pence per kilowatt-hour that year. Projections indicate that prices are bound to decrease steadily in the next few years, falling under **** pence per kilowatt-hour by 2030.

Retail residential electricity prices in the United States have mostly risen over the last decades. In 2023, prices registered a year-over-year growth of 6.3 percent, the highest growth registered since the beginning of the century. Residential prices are projected to continue to grow by two percent in 2024. Drivers of electricity price growth The price of electricity is partially dependent on the various energy sources used for generation, such as coal, gas, oil, renewable energy, or nuclear. In the U.S., electricity prices are highly connected to natural gas prices. As the commodity is exposed to international markets that pay a higher rate, U.S. prices are also expected to rise, as it has been witnessed during the energy crisis in 2022. Electricity demand is also expected to increase, especially in regions that will likely require more heating or cooling as climate change impacts progress, driving up electricity prices. Which states pay the most for electricity? Electricity prices can vary greatly depending on both state and region. Hawaii has the highest electricity prices in the U.S., at roughly 43 U.S. cents per kilowatt-hour as of May 2023, due to the high costs of crude oil used to fuel the state’s electricity. In comparison, Idaho has one of the lowest retail rates. Much of the state’s energy is generated from hydroelectricity, which requires virtually no fuel. In addition, construction costs can be spread out over decades.

Italy Electricity decreased 14.08 EUR/MWh or 10.22% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Italy Electricity Price.

This statistic shows the projected price of electricity for final demand sectors in the United Kingdom, from 2020 to 2050. The projections form part of the EU Reference Scenario 2016, providing a framework by which energy and environment policy can be assessed.The price of electricity is to fall after 2030, eventually reaching *** euros per megawatt hours in 2050.

UK Electricity decreased 19.61 GBP/MWh or 19.14% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for the United Kingdom Electricity Price.

The Electricity Supply industry has developed considerably since its liberalisation in 1999. Following a period in which the Big Six suppliers dominated, energy regulator Ofgem endeavoured to introduce greater competition to the market as part of attempts to drive down energy bills. Major mergers and acquisitions effectively brought the dominance of the former Big Six suppliers to an end at the end of 2019-20. Along with weakening electricity consumption, swelling competition has applied further pressure on revenue in recent years. Electricity suppliers' revenue is slated to climb at a compound annual rate of 6.2% to reach £52.1 billion over the five years through 2025-26. With suppliers bound by the energy price cap, soaring wholesale prices led to widening operating losses in 2021-22, albeit with a modest revenue recovery from pandemic-induced lows. A renewed spike in wholesale prices led to a continued wave of insolvencies among energy suppliers going into 2022-23, with 31 suppliers falling victim to the energy crisis. Soaring non-domestic energy bills and significant hikes to the SVT price cap spurred significant revenue growth in 2022-23, while the transfer of customer accounts from failed suppliers reinstated the dominance of major suppliers. The introduction of the Energy Price Guarantee (EPG) and support for business energy customers prevented energy prices from spiralling out of control going into 2023-24. A faster-than-anticipated drop in wholesale electricity prices has since eased pressure on operating profit and caused revenue to come-down. However, wholesale prices and energy bills remain significantly above levels seen prior to the energy crisis. Revenue is forecast to decline by 4.5% in the current year. Revenue is forecast to creep up at a compound annual rate of 0.1% over the five years through 2030-31, reaching £52.3 billion. Prices will remain elevated in the medium term as concerns surrounding supplies of Russian fossil fuels into Europe inflate wholesale costs. Wholesale prices are set to stabilise in the long term, spurring tariff reductions. The continued drop in electricity consumption is also set to limit growth prospects in the coming years.

The global electricity trading market is experiencing robust growth, projected to reach a market size of $314.45 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.6% from 2025 to 2033. This expansion is driven by several key factors. The increasing integration of renewable energy sources, such as solar and wind power, necessitates sophisticated trading mechanisms to manage their intermittent nature and optimize grid stability. Furthermore, deregulation and liberalization of electricity markets in many regions are fostering competition and creating opportunities for new market participants. The growing demand for electricity across residential, commercial, and industrial sectors, particularly in rapidly developing economies in Asia-Pacific, is fueling market growth. Day-ahead and intraday trading are key segments, with day-ahead trading currently dominating due to its established infrastructure and predictability, while intraday trading is experiencing rapid growth as smart grids and real-time data analytics become more prevalent. Technological advancements, including the development of advanced trading platforms and data analytics tools, are further enhancing market efficiency and transparency. However, challenges remain, including grid infrastructure limitations in some regions, regulatory uncertainties, and price volatility associated with fluctuating energy sources. The geographical distribution of the market reveals significant regional variations. North America and Europe currently hold substantial market shares, driven by mature electricity markets and established trading infrastructure. However, the Asia-Pacific region is projected to exhibit the most significant growth in the forecast period due to rapid economic expansion and increasing energy demand in countries like China and India. The Middle East and Africa are also witnessing growth, albeit at a slower pace, driven by ongoing infrastructure development and investments in renewable energy projects. Competitive dynamics are intense, with a mix of established energy giants, specialized trading companies, and emerging players vying for market share. Strategic alliances, mergers and acquisitions, and technological innovation are key competitive strategies employed by market participants. The long-term outlook for the electricity trading market remains positive, fueled by continued growth in renewable energy, deregulation, and technological advancements. However, companies need to navigate regulatory changes, price volatility, and cyber security risks to maintain a strong market position.

Spain Electricity decreased 27.62 EUR/MWh or 20.33% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Spain Electricity Price.

Long-term Power Market Outlook

According to our latest research, the global long-term power market size in 2024 stands at USD 276.4 billion, reflecting robust demand for stable energy contracts and rising investments in power infrastructure. The market is projected to grow at a CAGR of 6.8% from 2025 to 2033, reaching an estimated value of USD 508.9 billion by the end of the forecast period. This growth trajectory is driven by the increasing integration of renewables, the need for energy security, and the transition to low-carbon energy sources, as confirmed by our comprehensive industry analysis.

A primary growth factor for the long-term power market is the accelerating shift towards renewable energy sources. Governments worldwide are implementing stringent policies and incentives to encourage the adoption of clean energy, such as wind, solar, and hydropower. These initiatives are not only driven by environmental concerns but also by the declining costs of renewable technologies, making them more competitive with traditional fossil fuels. Corporations and utilities are increasingly entering into long-term power purchase agreements (PPAs) to secure stable pricing and meet sustainability targets, which further propels market expansion. The commitment to net-zero emissions and decarbonization strategies by major economies is expected to sustain this momentum throughout the forecast period.

Another significant driver is the rising need for energy security and price stability. Long-term power contracts offer utilities, industrial players, and large commercial entities a hedge against volatile spot market prices and supply uncertainties. This is particularly critical in regions experiencing rapid industrialization or where grid reliability is a concern. The ability to lock in predictable energy costs over extended periods is attractive to both power producers and consumers, fostering a stable environment for investment in new generation capacity. Additionally, the emergence of new contract structures, such as tolling agreements and capacity contracts, is providing greater flexibility and risk mitigation options for market participants.

Technological advancements and digitalization are also playing a pivotal role in shaping the long-term power market landscape. Innovations in smart grid infrastructure, energy storage, and advanced forecasting tools are enabling more efficient management of power supply and demand. These technologies facilitate the integration of intermittent renewable sources, enhance grid resilience, and optimize asset utilization. As a result, both utilities and independent power producers are better positioned to enter into long-term agreements with confidence, knowing they can deliver reliable service and maximize returns on investment. The ongoing evolution of regulatory frameworks to support these advancements is expected to further catalyze market growth.

From a regional perspective, Asia Pacific continues to dominate the long-term power market, accounting for the largest share in 2024, followed by North America and Europe. The Asia Pacific region benefits from rapid urbanization, expanding industrial bases, and ambitious renewable energy targets set by countries such as China and India. North America’s market is bolstered by a mature energy sector and the proliferation of corporate PPAs, while Europe remains a leader in decarbonization and cross-border power trading. Latin America and the Middle East & Africa are also witnessing increased activity, driven by infrastructure development and energy diversification efforts. This diverse regional growth underscores the global relevance and resilience of the long-term power market.

Power Source Analysis

The power source segment is a critical determinant in the long-term power market, reflecting the ongoing transformation of the global energy mix. Renewable energy has emerged as the fastest-growing sub-segment, accounting for a substantial portion of new long-term contracts signed in 2024. The widespread adoption of solar and wind projects, supported by favorable policy frameworks and falling technology costs, has made renewables a preferred choice for utilities and large corporate buyers. Hydropower, with its established role in providing baseload and peaking power, continues to attract long-term investments, especially in regions with abundant water resources. The shift away from fossil fue

The centralized power forecast system market is experiencing robust growth, driven by the increasing need for reliable and accurate power forecasting across various applications. The market's expansion is fueled by the rising adoption of renewable energy sources, the growing demand for grid stability and efficiency, and the increasing complexity of power systems. Short-term forecasting, crucial for real-time grid management and optimization, currently dominates the market, but significant growth is expected in middle and long-term forecasting segments as utilities and grid operators plan for future energy needs and infrastructure investments. Cloud deployment solutions are gaining popularity due to their scalability, cost-effectiveness, and accessibility, while local deployments remain relevant for specific applications requiring low latency and enhanced data security. North America and Europe are currently leading the market, but the Asia-Pacific region, particularly China and India, is projected to witness substantial growth driven by rapid economic development and increasing energy consumption. Technological advancements, such as the integration of advanced machine learning algorithms and improved weather data integration, are further bolstering market expansion. Competitive forces within the market are shaping its trajectory. Established players like AEMO (Australian Energy Market Operator) and Greening the Grid are leveraging their expertise and existing infrastructure to maintain a strong market presence. Meanwhile, specialized meteorological data providers such as Vaisala and Meteomatics are playing a significant role in supplying accurate input data for forecasting models. The emergence of innovative technology companies like Energy & Meteo, State Power Rixin Technology, and Changyuan Technology Group is introducing new solutions and enhancing competition. Challenges remain in achieving highly accurate long-term forecasts due to inherent uncertainties in energy consumption patterns and renewable energy generation. However, ongoing research and development efforts in advanced forecasting techniques are expected to alleviate these challenges in the coming years. Overall, the centralized power forecast system market is poised for significant expansion, driven by technological advancements, evolving energy landscapes, and the ever-increasing demand for reliable and efficient power grids.

Electricity Trading Market Outlook

The global electricity trading market size was valued at approximately $X billion in 2023 and is projected to reach around $X billion by 2032, growing at a compound annual growth rate (CAGR) of X.X% from 2024 to 2032. This growth is driven by rising demand for energy, advancements in smart grid technologies, and the increasing penetration of renewable energy sources.

One of the primary growth factors in the electricity trading market is the global shift towards renewable energy sources. As nations strive to reduce their carbon footprints, the integration of renewable energy into the grid has become a critical strategy. This has created a complex and dynamic electricity market, where trading becomes essential for balancing supply and demand. Furthermore, the development of energy storage technologies like batteries is enhancing the reliability and efficiency of renewable energy, making it more viable and attractive for trading.

Another significant growth factor is the advancement in smart grid and digital technologies. The implementation of smart meters, IoT devices, and advanced analytics allows for real-time monitoring and management of energy consumption and distribution. These technologies facilitate more efficient electricity trading by providing accurate data and insights, enabling market participants to make informed decisions. Additionally, blockchain technology is being explored for its potential to create transparent and secure trading platforms, further driving the market's growth.

The deregulation and liberalization of electricity markets in various regions have also contributed to the growth of electricity trading. By breaking down monopolistic structures and allowing multiple players to participate in the market, competition is enhanced, leading to better pricing and innovation. This deregulation is particularly evident in regions like North America and Europe, where policies have been enacted to encourage market-based electricity systems, fostering a conducive environment for electricity trading.

From a regional perspective, the Asia Pacific region is expected to witness significant growth in the electricity trading market. The region's rapid industrialization, urbanization, and economic growth are driving increased energy consumption. Moreover, countries like China and India are heavily investing in renewable energy projects and modernizing their grid infrastructure to support efficient electricity trading. The strong policy support and government incentives in these countries further bolster the market's expansion in the region.

Type Analysis

Electricity trading by type can be segmented into Day-Ahead Trading, Intraday Trading, and Forward Trading. Day-Ahead Trading involves buying and selling electricity one day before the actual delivery. This type of trading allows market participants to plan their electricity needs and manage their portfolios effectively. The growth of renewable energy sources, which are often intermittent, has increased the importance of Day-Ahead Trading for balancing supply and demand. Furthermore, advancements in forecasting technologies are improving the accuracy of day-ahead market predictions, making this segment more reliable and attractive.

Intraday Trading, on the other hand, occurs within the same day of delivery and provides a mechanism for market participants to manage unexpected changes in electricity supply or demand. This type of trading is becoming increasingly vital as the share of renewable energy grows, given its variability. The need for real-time adjustments in electricity trading to accommodate fluctuations in renewable energy generation is driving the growth of the Intraday Trading segment. Additionally, the rise of digital platforms and automation tools is facilitating quicker and more efficient intraday market transactions.

Forward Trading involves contracts for the purchase or sale of electricity for future delivery, ranging from months to years ahead. This segment is essential for hedging against price volatility and ensuring long-term price stability. Utilities and large industrial consumers often engage in forward contracts to secure their future electricity needs at predetermined prices. The increasing trend of long-term power purchase agreements (PPAs) with renewable energy providers is also boosting the growth of the Forward Tra

The Annual Energy Outlook presents longterm annual projections of energy supply, demand, and prices focused on the U.S. through 2050, based on results from EIA's National Energy Modeling System (NEMS). NEMS enables EIA to make projections under alternative, internally-consistent sets of assumptions, the results of which are presented as cases. The analysis in AEO2014 focuses on five primary cases: a Reference case, Low and High Economic Growth cases, and Low and High Oil Price cases. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in U.S. City Average (APU000072610) from Nov 1978 to Aug 2025 about electricity, energy, retail, price, and USA.

Renewable Power Forecast Accuracy Software Market Outlook

According to our latest research, the global Renewable Power Forecast Accuracy Software market size reached USD 1.62 billion in 2024, reflecting robust demand driven by the accelerating integration of renewables into power grids worldwide. The market is expected to expand at a CAGR of 13.4% from 2025 to 2033, with the forecasted market size projected to reach USD 4.60 billion by 2033. This impressive growth rate is primarily propelled by the increasing complexity of renewable energy management, the need for grid stability, and advancements in predictive analytics technologies.

The primary growth factor for the Renewable Power Forecast Accuracy Software market is the global surge in renewable energy installations, particularly in wind and solar sectors. As countries pursue aggressive decarbonization targets and transition away from fossil fuels, the share of variable renewable energy sources on the grid is rising sharply. This shift introduces significant variability and uncertainty in power generation, making accurate forecasting essential for grid reliability, efficient dispatch, and minimizing curtailment. Renewable Power Forecast Accuracy Software leverages advanced algorithms to predict power output, enabling grid operators and utilities to optimize operations, reduce balancing costs, and integrate higher shares of renewables without compromising system stability.

Another significant driver is the rapid advancement in machine learning and artificial intelligence technologies, which have dramatically improved the accuracy and granularity of renewable energy forecasts. Traditional statistical methods are increasingly being complemented or replaced by sophisticated AI models capable of learning from vast datasets, including weather patterns, historical generation data, and real-time sensor inputs. These innovations are enabling more precise short-term and long-term forecasts, which are critical for efficient market participation, risk management, and grid balancing. Furthermore, the proliferation of IoT devices and high-resolution meteorological data is fueling the adoption of these advanced forecasting solutions across diverse end-user segments.

Policy mandates and regulatory frameworks are also playing a crucial role in driving the adoption of Renewable Power Forecast Accuracy Software. Grid codes in many regions now require renewable energy producers to provide accurate production forecasts as a prerequisite for grid connection and participation in energy markets. The rise of competitive electricity markets and the growing role of energy trading further underscore the importance of forecast accuracy for maximizing revenues and minimizing penalties associated with forecast deviations. As a result, utilities, independent power producers, and grid operators are making significant investments in state-of-the-art forecasting tools to comply with regulatory requirements and enhance their operational efficiency.

The integration of a Weather-Driven Power Price Algorithm is becoming increasingly crucial in the Renewable Power Forecast Accuracy Software market. This algorithm leverages weather data to predict fluctuations in power prices, allowing grid operators and energy traders to make more informed decisions. By incorporating real-time weather forecasts, this technology can enhance the accuracy of power price predictions, thus optimizing trading strategies and reducing financial risks. As renewable energy sources are highly dependent on weather conditions, the ability to anticipate price changes based on weather patterns is invaluable. This innovation not only supports better market participation but also aids in maintaining grid stability by aligning supply with demand more effectively. The adoption of such algorithms is expected to grow as the market seeks to enhance its predictive capabilities and improve overall efficiency.

Regionally, Europe and North America are leading the adoption of Renewable Power Forecast Accuracy Software, owing to their advanced grid infrastructures, high penetration of renewables, and supportive regulatory environments. However, Asia Pacific is emerging as the fastest-growing market, fueled by massive renewable energy expansion in countries like China and India, coupled with increasing investments in smart grid technologies. Latin America and the Middle East & Africa are also witnessing steady growth, driven by

The Power Transaction Assistance Decision-making Support System market is experiencing robust growth, driven by the increasing complexity of power grids and the need for efficient energy trading. The market's expansion is fueled by several key factors. Firstly, the rising adoption of renewable energy sources, characterized by intermittent output, necessitates sophisticated systems for accurate forecasting and optimized transaction strategies. Secondly, deregulation and liberalization of energy markets are creating competitive landscapes, demanding advanced decision-support tools to enhance profitability and manage risk effectively. Finally, advancements in artificial intelligence (AI) and machine learning (ML) are enabling more precise prediction models and optimized trading algorithms, leading to higher accuracy in transaction decisions and cost savings. The market is segmented by application (spot goods, mid-to-long-term transaction decisions, electricity output prediction) and deployment type (cloud, local). While cloud deployment currently holds a larger market share due to scalability and cost-effectiveness, on-premise solutions remain relevant for organizations with stringent data security requirements. The North American and European regions currently dominate the market, but significant growth potential exists in Asia-Pacific, particularly in China and India, driven by rapid infrastructure development and increasing energy demand. The competitive landscape is marked by a mix of established energy companies integrating these systems into their operations and specialized technology providers offering standalone solutions. Companies like Enel Group and State Power Rixin Technology are leveraging these systems for internal optimization, while others like Datapine and Far-Light Software provide comprehensive platforms to a wider customer base. However, the market faces challenges, including high initial investment costs for advanced systems and the need for skilled personnel to operate and maintain them. Nevertheless, the long-term benefits in terms of improved efficiency, reduced operational costs, and enhanced profitability are expected to drive continued market expansion. The forecast period of 2025-2033 anticipates a significant rise in market value, driven by consistent technological advancements and growing demand across various regions. We project a CAGR of 15% for the forecast period, resulting in substantial market expansion.

The Centralized Power Forecast System market is poised for significant expansion, projected to reach an estimated USD 450 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of approximately 15% anticipated between 2025 and 2033. This growth is primarily fueled by the escalating demand for accurate and reliable power forecasting across diverse applications, from super short-term predictions for grid stability to middle and long-term planning for energy infrastructure. The increasing integration of renewable energy sources like solar and wind, which are inherently intermittent, necessitates sophisticated forecasting systems to manage grid fluctuations and ensure a consistent power supply. Furthermore, advancements in data analytics, artificial intelligence, and cloud computing are enabling more precise and efficient power forecasting, driving adoption across utilities, grid operators, and energy traders. The emphasis on grid modernization and smart grid initiatives globally further underscores the importance of these systems in optimizing energy distribution and minimizing operational costs. Geographically, Asia Pacific, led by China and India, is expected to emerge as a dominant force, driven by rapid industrialization, growing energy consumption, and substantial investments in renewable energy infrastructure. North America and Europe also represent mature yet growing markets, characterized by advanced grid technologies and a strong focus on energy efficiency and sustainability. While the market benefits from strong growth drivers, certain restraints, such as the high initial investment cost for advanced systems and the need for skilled personnel to manage and interpret complex data, may temper rapid adoption in some regions. However, the increasing affordability of cloud-based solutions and the development of user-friendly interfaces are mitigating these challenges, paving the way for broader market penetration. The market is segmented by deployment type, with cloud deployment gaining traction due to its scalability and cost-effectiveness, while local deployment remains relevant for entities with specific data security or regulatory requirements. Here is a comprehensive report description for a "Centralized Power Forecast System," incorporating your specifications:

The global power forecasting market is experiencing robust growth, driven by the increasing integration of renewable energy sources, the need for grid stability and efficiency, and the growing demand for accurate energy predictions. The market's expansion is fueled by the transition towards smarter grids, which rely heavily on sophisticated forecasting models to optimize energy distribution and minimize disruptions. This transition is further accelerated by government regulations promoting renewable energy adoption and energy efficiency. Key players in this market are leveraging advancements in machine learning, artificial intelligence, and big data analytics to enhance the accuracy and sophistication of their forecasting solutions. The competitive landscape is characterized by a mix of established technology providers, energy companies, and specialized forecasting firms, each vying for market share through innovation and strategic partnerships. While the market faces challenges such as data availability and the inherent volatility of renewable energy sources, the long-term outlook remains positive, projecting sustained growth and innovation in power forecasting technologies. The forecast period from 2025 to 2033 is expected to witness a significant increase in the market size, driven primarily by the factors mentioned above. Specific segments within the market, such as short-term forecasting and long-term forecasting, will demonstrate varying growth rates, depending on the technological advancements and specific industry requirements. Regional variations in market growth will also be influenced by the level of renewable energy adoption, regulatory frameworks, and the overall development of smart grid infrastructure. The competition amongst established players and emerging companies will intensify, leading to further innovation and potentially consolidation within the industry. Continued investments in research and development of advanced forecasting algorithms will be crucial for market leaders to maintain their competitive edge and capitalize on the emerging opportunities in this dynamic market.

The global Electricity Output Prediction market is projected to reach a substantial USD 850 million by 2025, exhibiting a robust Compound Annual Growth Rate (CAGR) of 12% during the forecast period of 2025-2033. This significant growth is primarily fueled by the escalating demand for optimized energy management and the increasing integration of renewable energy sources like solar and wind power. These intermittent sources necessitate accurate predictive capabilities to ensure grid stability, minimize energy wastage, and enhance operational efficiency for power generation companies. The market is witnessing a strong push towards advanced analytical tools and machine learning algorithms that can process vast amounts of historical data, weather patterns, and demand forecasts to provide highly precise output predictions. This is crucial for utilities aiming to balance supply and demand effectively, thereby reducing reliance on expensive peak power generation and improving overall profitability. Key drivers propelling this market include the growing complexity of energy grids, the need for proactive maintenance scheduling, and the imperative to comply with evolving environmental regulations. The market is segmented across various applications, with Annual Output Prediction holding a significant share due to its strategic importance in long-term resource planning and investment decisions, closely followed by Daily Output Prediction which is critical for real-time operational adjustments. In terms of deployment types, Cloud Deployment is gaining prominence owing to its scalability, cost-effectiveness, and accessibility to advanced analytical tools, allowing companies of all sizes to leverage sophisticated prediction models. However, certain restraints such as data privacy concerns and the initial high cost of implementing advanced prediction systems can pose challenges. Nonetheless, the overarching trend towards smart grids and the continuous innovation in predictive analytics are expected to drive substantial market expansion.