Silver rose to 37.04 USD/t.oz on July 3, 2025, up 1.30% from the previous day. Over the past month, Silver's price has risen 7.35%, and is up 21.97% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on July of 2025.

During the last quarter of 2024, the silver prices in the USA reached 31.3 USD/toz (H2 2024 Avg Price) in December. As per the silver price chart, prices surged during the latter half of 2024, largely influenced by the Federal Reserve’s interest rate cuts, which diminished the dollar. This shift made silver an attractive investment, particularly as a lower-cost alternative to gold.

Explore IMARC’s newly published report, titled “Silver Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2025 Edition,” offers an in-depth analysis of silver pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Predicting Silver Prices with Machine Learning: Promising Approaches and Considerations

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Get the latest insights on price movement and trend analysis of Silver in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

In 2024, the global silver market was finally on the rise to reach $65.1B for the first time since 2021, thus ending a two-year declining trend. Overall, consumption showed a relatively flat trend pattern. As a result, consumption reached the peak level of $65.6B. From 2022 to 2024, the growth of the global market failed to regain momentum.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Philadelphia Gold and Silver Index: The Future of Precious Metals?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The U.S. silver market rose remarkably to $7.5B in 2024, picking up by 6.4% against the previous year. Overall, consumption saw a relatively flat trend pattern. Over the period under review, the market hit record highs at $7.5B in 2012; afterwards, it flattened through to 2024.

In 2025, the price of platinum is forecast to hover around 1,150 U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to 1,700 U.S. dollars.

Precious metals

Precious metals are counted among the most valuable commodities worldwide. The most well known such metals are gold, silver and the platinum group metals. A precious metal can be used as an industrial commodity or as an investment. The major areas of application include the following sectors: technology, car-making, industrial manufacturing and jewelry making. Furthermore, gold and silver are used as coinage metals, and gold reserves are held by the central banks of many countries worldwide in order to store value or for use as a redemption medium. The idea behind this procedure is that gold reserves will help secure and stabilize the countries’ respective currencies. At 8,100 tons, the United States is the country with the most extensive stock of gold. It is kept in an underground vault at the New York Federal Reserve Bank.

Russia, the United States, Canada, South Africa and China are the main producers of precious metals. Silver is the most abundant of the metals, followed by gold and palladium. Barrick Gold is the world’s largest gold mining company. The Toronto-based firm produced some five million ounces of gold in 2020. The leading silver producers include Mexico-based Fresnillo, Poland’s KGHM Polska Miedž and the mining giant Glencore. Anglo Platinum and Impala are the key mining companies to produce platinum group metals.

In 2023, Silver prices are expected to settle at around 23.5 U.S. dollars per troy ounce. It is expected to remain the precious metal with the lowest value per ounce. The price of gold is forecast to drop to around 1,663 U.S. dollars per ounce, making it the most expensive precious metal in 2023.

Access global Silver prices in locations such as Global, Europe. Includes monthly historical series and forecasts. Delivered via online charts, Excel, Power BI, and API. Free preview.

According to Cognitive Market Research, the global silver bullion market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 4.00% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD XX million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
The US had the most significant global silver bullion market revenue share in 2024.

Market Dynamics of Silver Bullion Market

Key Drivers of Silver Bullion Market

Increasing Demand for Safe Haven Investments

The increasing wish for safe haven investments is driving the market for silver bullion to continue growing. Investors look for assets that deliver stability and wealth preservation throughout difficult economic, geopolitical, and market situations. Due to its inherent worth and historical importance as a wealth vault, silver is drawing more and more attention from investors trying to diversify their holdings and protect themselves from inflation and currency depreciation. The COVID-19 pandemic's aftereffects, trade disputes, and geopolitical tensions have all contributed to the current state of the global economy, which has raised investor anxieties and increased demand for silver bullion. Concerns about possible inflationary pressures are developing as governments execute large stimulus programs and central banks adopt loose monetary policies; this is pushing investors into physical assets like silver.

Increasing Industrial Applications Will Promote Market Expansion

The market for silver bullion is also expected to rise significantly due to the growing number of industrial uses. Due to its special qualities, which include its high conductivity, malleability, and resistance to corrosion, silver is used in a wide range of industries, including electronics, healthcare, automotive, and renewable energy. The industrial demand for silver is anticipated to grow in the upcoming years due to technological developments and advancements boosting demand in developing applications including solar panels, electric vehicles, and 5G technology. Silver's industrial demand is further bolstered by its antibacterial characteristics, which render it increasingly desirable in therapeutic applications. The market for silver bullion is expected to increase steadily as long as industries keep innovating and creating new goods that need silver. Investors who are eager to profit from the growing industrial need for this precious metal will be drawn to this market.

Restraint Factors Of Silver Bullion Market

Volatility in Precious Metal Prices will hinder market growth.

The price volatility of precious metals can have a substantial impact on the development of the silver bullion market. The price of silver can vary due to changes in currency values, geopolitical tensions, and global economic conditions. Investors get indeterminate as a result of these swings, which could make them unwilling to buy silver bullion. Investors who bought silver at higher prices may lose money as a result of abrupt price reductions, which could affect market liquidity and confidence. Businesses that use silver as a raw resource, such as manufacturers, face difficulties due to the unpredictable nature of silver pricing. Businesses may find it challenging to correctly manage expenses and plan production schedules in the face of shifting silver prices. Price variations can disrupt the supply chain, as suppliers and buyers are driving the changing market conditions.

Market participants may use hedging techniques or look for alternate investments to lessen the impact of price volatility, which could result in money being taken out of...

Silver futures contracts to be settled in December 2028 were trading on U.S. markets at around 34 U.S. dollars per troy ounce on June 20, 2023. This is above the price of 30.44 U.S. dollars per troy ounce for contracts to be settled in May 2024, indicating silver traders expect the price of silver to decrease over the next five years. Silver futures are contracts that effectively lock in a price for an amount of silver to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Silver's Uncertain Future?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset provides values for SILVER reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Forecast: Import of Silver to the US 2023 - 2027 Discover more data with ReportLinker!

Forecast: Silver Market Size Value in France 2022 - 2026 Discover more data with ReportLinker!

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Philadelphia Gold and Silver Index: A Beacon for Precious Metals?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Forecast: Import of Silver Compounds to Italy 2023 - 2027 Discover more data with ReportLinker!

The global silver mining market is experiencing robust growth, driven by increasing demand from diverse sectors. While the exact market size for 2025 is not provided, considering a plausible CAGR (let's assume a conservative 5% based on historical trends and current market dynamics) and a reasonable 2019 market size (estimated at $20 billion USD, a figure consistent with industry reports), the 2025 market value can be projected to be approximately $26 billion USD. This projection assumes consistent growth across the forecast period, accounting for fluctuations in silver prices and global economic conditions. This growth is fueled by several key drivers, including the expanding electronics industry (particularly consumer electronics and photovoltaics), burgeoning automotive sector leveraging silver's conductive properties, and increasing applications in photosensitive materials. Furthermore, government initiatives promoting renewable energy and sustainable technologies contribute to the overall positive outlook for silver mining. However, the market also faces certain restraints. Fluctuations in silver prices, influenced by factors like global economic uncertainty and investor sentiment, represent a significant challenge. Environmental regulations surrounding mining operations, coupled with rising operational costs, also pose constraints on profitability. Despite these challenges, the long-term growth trajectory remains positive due to the versatile applications of silver and the growing need for sustainable materials across various industries. Segmentation analysis reveals a strong focus on consumer electronics and automotive applications, indicating a clear market direction and growth potential in these sectors specifically. Key players like Hindustan Zinc, Glencore, and Pan American Silver, among others, are actively shaping the market dynamics through strategic investments and technological advancements. Regional growth is expected across all areas, with North America, Europe, and Asia Pacific leading the market expansion owing to increased industrialization and technological adoption in those regions. This report provides a detailed analysis of the global silver mining market, encompassing production, consumption, pricing trends, and future growth prospects. We delve into key industry players, market segmentation, and emerging trends, offering invaluable insights for investors, industry professionals, and strategic decision-makers. The report incorporates data from leading mining companies like Hindustan Zinc, Asahi Refining, Glencore, Newmont Goldcorp, KGHM, Pan American Silver, Hochschild Mining, Polymetal International, Minas Buenaventura, First Majestic, Volcan, Endeavour Silver, Wheaton Precious Metals, and Hecla Mining Company.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

S&P GSCI Silver Index: A Reliable Benchmark for Silver Prices?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Silver Chloride Market Outlook

The global silver chloride market size, as of 2023, is estimated to be approximately USD 1.2 billion, with a projected growth reaching USD 2.1 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.2%. The robust growth of the silver chloride market is largely driven by its extensive applications across various industries such as electronics, healthcare, and water treatment. The increasing demand for high-purity materials in electronics and medical industries, along with advancements in manufacturing technologies, are some of the primary growth factors propelling this market forward. Additionally, the rising awareness and stringent regulations regarding water purification and treatment are significantly contributing to the market's expansion.

A major growth factor for the silver chloride market is its pivotal role in the electronic industry. Silver chloride is used in the production of various electronic components due to its excellent electrical conductivity properties. As the demand for consumer electronics, such as smartphones, laptops, and other smart devices, continues to rise, the requirement for materials that can enhance electrical performance is becoming increasingly crucial. Furthermore, the transition toward 5G technology and the Internet of Things (IoT) is expected to further bolster the demand for silver chloride in advanced electronic applications. This trend is likely to sustain the market growth over the forecast period.

In the healthcare sector, silver chloride's importance is underscored by its usage in medical applications, particularly in wound care products and antimicrobial agents. The unique properties of silver chloride, such as its biocompatibility and antibacterial effects, make it an ideal component in the formulation of bandages and plasters that promote healing. With the global healthcare industry experiencing rapid advancements and an increasing focus on improving patient care, the demand for materials that can enhance the efficacy of medical products is on the rise. Moreover, the ongoing research and development activities aimed at expanding the potential uses of silver chloride in healthcare are likely to further enhance its market prospects.

The water treatment sector also significantly contributes to the growth of the silver chloride market. With growing concerns about water pollution and the scarcity of clean drinking water, there is an increasing reliance on effective water treatment solutions. Silver chloride is extensively used in filters and purification systems due to its antimicrobial properties, which help eliminate bacteria and pathogens from water sources. Government initiatives and investments in improving water infrastructure, especially in developing regions, are expected to generate substantial demand for silver chloride. This application is crucial in ensuring safe and accessible water supplies globally, thereby underpinning market growth.

Regionally, the Asia Pacific region is poised to dominate the silver chloride market, driven by the rapid industrialization and urbanization in countries such as China and India. The burgeoning electronics manufacturing sector and significant healthcare industry investments in this region are key factors contributing to its leadership position. In addition, favorable government policies and rising consumer awareness are anticipated to accelerate market growth. North America and Europe are also expected to exhibit steady growth, supported by technological advancements and a strong emphasis on sustainable practices in various industries. Meanwhile, the markets in Latin America and the Middle East & Africa are projected to grow at a more moderate pace due to varying economic conditions and infrastructural challenges.

Product Form Analysis

In the silver chloride market, products are available in various forms, including powder, granules, and pellets, each serving distinct applications and demands within the industry. Powder form of silver chloride is widely utilized due to its fine particle size, which enhances its reactivity and ease of incorporation into various applications. The powder is particularly favored in the pharmaceutical and healthcare sectors, where precise formulation and uniform distribution are critical. The growing demand for advanced healthcare solutions, especially in wound care and antimicrobial products, is driving the uptake of silver chloride powder. Moreover, the flexibility in adjusting the powder's purity and particle size further broadens its application scope, making it a preferred choice among manufacturers.