Silver rose to 35.97 USD/t.oz on June 6, 2025, up 0.86% from the previous day. Over the past month, Silver's price has risen 10.82%, and is up 23.35% 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 June of 2025.

Interactive chart of historical data for real (inflation-adjusted) silver prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value.

Dataset of historical annual silver prices from 1970 to 2022, including significant events and acts that impacted silver prices.

This statistic depicts the average monthly prices for silver worldwide from January 2014 through January 2025. In January 2025, the average monthly price for silver worldwide stood at 30.41 nominal U.S. dollars per troy ounce.

Stay informed with real-time charts of international precious metal prices. Monitor spot prices for Silver in USD, GBP, and EUR. Access live updates here >>

The price of an ounce of silver increased sharply in 2021, rising around 17 percent from January 28 to February 1. The cause of this increase is attributed to retail investors mobilized via social media with the intention of causing losses to professional investors, similar to the rise in the stock price of video game retailer GameStop, and the stock price of cinema operator AMC several days beforehand. As of midnight July 18, 2023, the price of silver was trading at 24.9 U.S. dollars per troy ounce.

Silver prices in , May, 2025 For that commodity indicator, we provide data from January 1960 to May 2025. The average value during that period was 9.55 USD per troy ounce with a minimum of 0.91 USD per troy ounce in January 1960 and a maximum of 42.7 USD per troy ounce in April 2011. | TheGlobalEconomy.com

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...

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

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

In 2024, the average nominal price of silver in India was ****** Indian rupees for one kilogram, which was an increase of over ****** rupees from the previous year, and the highest figure during the period of consideration.

Silver prices soar past $35 per ounce, marking a 13-year high, fueled by industrial demand and supply challenges. Analysts predict further growth.

This dataset tracks annual reduced-price lunch eligibility from 2002 to 2020 for Silver High School vs. New Mexico and Silver City School District

Bullion Price: Monthly Average: Mumbai: Silver data was reported at 95,524.000 INR/kg in Feb 2025. This records an increase from the previous number of 90,020.000 INR/kg for Jan 2025. Bullion Price: Monthly Average: Mumbai: Silver data is updated monthly, averaging 19,356.000 INR/kg from Apr 1990 (Median) to Feb 2025, with 419 observations. The data reached an all-time high of 95,524.000 INR/kg in Feb 2025 and a record low of 5,554.000 INR/kg in Mar 1993. Bullion Price: Monthly Average: Mumbai: Silver data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.PG002: Memo Items: Bullion Price.

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 of Precious Metal Value?

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.

The Global Precious metals Market size is expected to grow at a CAGR of 5.6% during the forecast period by 2028. The growth can be attributed to industrial applications such as jewelry and medical devices which are anticipated to increase demand for gold and silver medal, respectively over the forecast period.

Precious metals are a group of elements that have been used for centuries to create some of the most beautiful and highest quality objects in history. Gold, silver, platinum, and palladium are precious metals while copper is not typically categorized as a precious metal because it is so abundant on earth. The beauty of precious metals is not their only value. They are also used in applications that range from industry to financial services and even consumer goods such as jewelry.

On the basis of Type, the market is segmented into Gold, Silver Metal, Platinum Group Metals.

Gold:

Gold is a chemical element with the symbol Au and an atomic number of 79. It has been a highly sought-after precious metal for coinage, jewelry, and other arts since the beginning of recorded history. The metal occurs as nuggets or grains in rocks, underground veins, and in alluvial deposits. Gold is dense, soft, shiny and the most malleable and ductile pure metal known to man which means it can be beaten into thin sheets (0.0000001 mm) but not dissolved by any acid.

Silver Metal:

The term ‘silver metal’ is used to refer to the silver-rich alloy of metals. The alloys are also known as Ag or sterling, which has high purity and includes copper, nickel, zinc, etc. Silver metal is increasingly preferred over other precious metals due to its low cost in comparison with gold and platinum group metals (PGM).

Platinum Group Metals:

Platinum Group Metals are a group of metals that have been traditionally used in the industry, but lately, they have become popular for other applications as well. The main features of Platinum Group Metals are that they can be worked into almost any shape or form and their price remains stable even when the market becomes very volatile.

On the basis of Application, the market is segmented into Industry, Consumer Sector, Financial Sector.

Industry:

In the industry sector, precious metals are used in many different aspects of production. This includes anything from electronics to car manufacturing and even healthcare applications. A lot of technology devices require these materials for their construction, most notably smartphones. Smartphone manufacturers use gold foils on circuit boards due to their low electrical resistance properties that help with signal transmission between components.

Consumer Sector:

Precious metals are used in various consumer electronics. The use of gold, silver, and platinum for manufacturing electronic equipment has increased due to the increasing penetration of smartphones, tablets, etc., which have grown rapidly over the past decade or so. The consumer sector is expected to be the largest market for precious metals, and this trend will continue over the forecast period.

Financial Sector:

Gold and silver are used in a range of financial products, from coins to bars. Gold has been held as an asset for thousands of years because it is scarce, durable, liquid, and does not need any other material to produce jewelry or be shaped into ornaments. Silver's physical characteristics have also resulted in its widespread use in industry: being highly conductive means that silver metal dramatically lowers energy costs when compared with traditional materials such as a copper wire.

On the basis of Region, the market is segmented into North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

The North American market is expected to account for the largest share, due to its increasing demand from several end-use industries. The U.S., which contributes a major share of this region’s revenue, has been witnessing an upsurge in public and private investment opportunities across different sectors such as the oil & gas exploration and the construction industry. This trend is likely to boost the availability of raw materials required by downstream segments including Gold Jewelry manufacturer companies, thereby driving growth over the next few years. The Latin American market is estimated to be the fastest-growing during the forecast period. The Asia Pacific will witness significant growth due to factors such as developments in the mining industr

Fine Silver: Pure silver with a fineness of 99.9% or higher Sterling Silver: An alloy of silver and copper, typically 92.5% silver German Silver: An alloy of copper, nickel, and zinc Coin Silver: An alloy used in the production of coins Britannia Silver: A type of silver alloy used in the production of British coins Mexican Silver: Traditionally produced in Mexico, renowned for its high purity Russian Silver: Historic and collectible silver produced in Russia Oxidized Silver: Silver that has undergone a chemical reaction to create a dark, antique look Recent developments include: Silver market forecasts from 2021 and the upcoming years suggest that most key industrial players focus on exploring new technologies that can be merged with the silver market production. This greatly helps in the purchase of commodities. Several regulatory bodies are implemented for the detection and quality verification of the silver as well that disclose a proper commodity market. Not only consumers but also manufacturers and retailers help with the same. This now provides numerous opportunities for marketers due to the rising demand of the prominent key players of the market like Goldcorp, Gold Fields, and Barrick Gold.. Key drivers for this market are: Growing global population and rising disposable income. Increasing demand for silver in electronics and technology. Concerns about energy security and the need for renewable energy sources.. Potential restraints include: Price volatility and fluctuations in supply and demand. Competition from substitute materials, such as copper and aluminum. Stringent environmental regulations governing silver mining and processing activities.. Notable trends are: Development of new technologies for silver extraction and processing. Rising adoption of silver-based antimicrobial and antibacterial technologies. Growing interest in silver as a sustainable investment asset..

Gold and silver prices increased over the course of 2021, but these did not grow as fast as the prices of iridium and, especially, rhodium. According to a comparison of price indices, the price for rhodium - a precious metal similar to platinum and used especially in catalytic converters of cars - was ten times higher in April 2021 than it was in January 2019. The price hike for rhodium was apparently caused by coronavirus-related lockdowns implemented in South Africa, where mining companies had to close for several weeks.

The annual average of London fix price for one ounce of silver in 2023 was 23.35 USD U.S. dollars. The global silver industry Silver is a soft, white, malleable metal that has the highest electrical and thermal conductivity of all metals. Silver is most commonly used to make coins, jewelry, and silverware. It is typically produced as a byproduct of copper, gold, lead, and zinc refining. The estimated global mine production of silver in 2023 was 26,000 metric tons. The leading country in silver production in 2023 was Mexico. In that year, Mexico produced about 6,400 metric tons of silver. Peru had the largest silver reserves worldwide, amounting to 110,000 metric tons as of 2023. Silver in the United States Silver exports from the United States have been fluctuating since 2008. In 2023, the United States exported about 80 metric tons of silver, a significant decrease from the 946 metric tons they exported in 2012. U.S. imports of silver for consumption, meanwhile, amounted to 4,700 metric tons in 2023.