Silver fell to 40.69 USD/t.oz on September 2, 2025, down 0.09% from the previous day. Over the past month, Silver's price has risen 8.74%, and is up 45.03% 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 September of 2025.

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

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.

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 2025, the price of platinum is forecast to hover around ***** U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to ***** 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 ***** 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 **** 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 **** 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 ***** U.S. dollars per ounce, making it the most expensive precious metal in 2023.

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.

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...

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 silver mining market, while exhibiting fluctuations, presents a compelling investment landscape. The market is driven by robust demand from various sectors, including electronics, solar energy, and jewelry. Technological advancements in mining techniques, leading to increased efficiency and lower extraction costs, further contribute to market growth. However, the market also faces challenges such as price volatility tied to global economic conditions and environmental concerns surrounding mining operations. Sustainable mining practices and responsible sourcing are increasingly important aspects of the industry, impacting both operational costs and consumer perception. Over the forecast period (2025-2033), we anticipate a steady growth trajectory, fueled by the continued adoption of silver in renewable energy technologies and consistent demand from traditional sectors. Leading players like Hindustan Zinc, Glencore, and First Majestic are strategically positioning themselves to capitalize on this growth, focusing on expanding production capacities and exploring new deposits. This includes investments in R&D for improved extraction and processing techniques along with strong emphasis on environmental compliance and community engagement. Despite some challenges, the long-term outlook for the silver mining industry remains positive. The increasing integration of silver into various technologies, especially within the expanding renewable energy sector, is a significant driver. Furthermore, consistent demand from the jewelry and silverware sectors provides a stable base for market performance. While regulatory hurdles and geopolitical uncertainties could impact short-term growth, the fundamentally strong demand-supply dynamics suggest a continuously evolving market with opportunities for innovation and expansion. The competitive landscape is characterized by a mix of large multinational corporations and smaller, specialized players. This diversity fosters innovation and drives competition, ultimately benefitting the market's overall growth and efficiency.

HSBC has revised its silver price projections upward, influenced by gold's surge and economic uncertainty, while noting potential shifts in industrial and investment demand.

Silver futures contracts to be settled in December 2028 were trading on U.S. markets at around ** U.S. dollars per troy ounce on June 20, 2023. This is above the price of ***** 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.

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

Silver Bullion Market Outlook 2032

The global silver bullion market size was USD XX Billion in 2023 and is projected to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market growth is attributed to the rising consume preference of silver for investment purpose.



The silver bullion market is experiencing an increasing trend, driven by a variety of factors. As a tangible asset with intrinsic value, silver bullion offers a hedge against inflation and currency fluctuations, which is attracting more investors. The growing industrial demand for silver, particularly in the electronics and solar energy sectors, is also contributing to the rising interest in silver bullion.

The recent volatility in the global economy has led to a surge in the demand for safe-haven assets, presenting significant opportunities for the market. With these driving factors, the market is poised for further growth, offering a wealth of opportunities for investors and stakeholders alike.

Impact of Artificial Intelligence (AI) onSilver Bullion Market

Artificial Intelligence has a positive impact on the silver bullion market by enhancing predictive analysis and decision-making processes. Advanced AI algorithms analyze vast amounts of data, including historical silver prices, global economic indicators, and market trends, to generate accurate forecasts. These insights enable investors and market players to make informed decisions, thereby optimizing their investment strategies.



AI contributes to operational efficiency by automating routine tasks, reducing human error, and improving risk management. It also fosters transparency in the market by detecting and preventing fraudulent activities through pattern recognition and anomaly detection.

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Explore the future price predictions of silver over the next five years, influenced by industrial demand, economic conditions, and geopolitical events. Learn how advances in technology, renewable energy trends, and global economic factors might drive silver prices, offering insights into potential market volatility and growth.

Silver prices may remain elevated due to rising inflationary pressures and increased demand for safe-haven assets amid geopolitical uncertainties. However, potential risks include a stronger US dollar, reduced industrial activity due to economic slowdown, and volatility in equity markets.

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.

Silver prices in , July, 2025 For that commodity indicator, we provide data from January 1960 to July 2025. The average value during that period was 9.62 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

Silver Target Market Outlook

The global silver target market size is projected to grow from USD 23.5 billion in 2023 to USD 35.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 4.8% during the forecast period. This growth is primarily driven by a combination of increasing industrial applications, heightened investment interest, and the expanding jewelry market. As industrial sectors continue to innovate and scale, the demand for silver as an essential component in various manufacturing processes is expected to rise. Moreover, silver's dual status as both a precious metal and an industrial commodity positions it uniquely in the financial and manufacturing landscapes, enhancing its appeal and driving market expansion.

One of the primary growth factors for the silver target market is its extensive industrial applications, particularly in electronics, photovoltaics, and automotive sectors. Silver's superior electrical conductivity makes it indispensable for electronic devices, and as the world moves towards digitalization and connectivity, the demand for such devices escalates. In the photovoltaics industry, silver plays a crucial role in solar panel production, supporting the global shift towards renewable energy sources. This transition is anticipated to augment silver demand significantly. Additionally, the automotive industry, with its increasing focus on electric vehicles (EVs), relies on silver for its electrical systems, further propelling market growth. The convergence of these industrial needs underscores the metal's vital role in contemporary innovation and technological advancement.

Investment demand also significantly contributes to the silver market's growth. With economic uncertainties and inflation concerns, investors often turn to precious metals like silver as a hedge against currency devaluation. Silver, being more affordable than gold, provides an attractive investment option for a broader audience, including individual and institutional investors. The accessibility of silver, combined with its potential for appreciation, makes it a popular choice for diversifying investment portfolios. Moreover, the rise of digital and online trading platforms has made silver more accessible to investors, further boosting its demand. As economic conditions fluctuate, the stability and security offered by investing in silver ensure its continued prominence in the investment landscape.

The jewelry market remains a significant driving force behind the demand for silver. Silver jewelry, renowned for its affordability, versatility, and aesthetic appeal, continues to witness robust demand across various demographics. The growing trend of personalization and customization in jewelry, spurred by consumer preferences for unique and bespoke items, is fueling silver demand. Moreover, cultural and traditional events, particularly in regions like Asia and the Middle East, where silver holds cultural significance, further drive its market. These factors, combined with the evolving fashion trends and increased disposable incomes in emerging economies, are pivotal in sustaining the jewelry market's demand for silver.

Product Type Analysis

The silver target market is segmented by product types, including bullion, coins, jewelry, industrial silver, and others. Bullion remains a prominent category, primarily driven by its value storage and investment appeal. Investors globally seek bullion as a tangible and enduring asset, often during economic volatility. The price of bullion is closely tied to market dynamics and investor sentiment, and its demand is expected to rise as more individuals and institutions diversify their portfolios. The intrinsic value and liquidity of bullion make it an attractive option for both short-term and long-term investments.

Coins represent another significant segment within the silver market. The demand for silver coins is fueled by both collectors and investors who perceive them as a safe investment and a piece of history or art. Unlike bullion, coins offer potential numismatic value, which can appreciate over time. This dual appeal attracts a diverse range of buyers. Moreover, national mints worldwide regularly issue commemorative coins, which draw interest from collectors and investors alike. The limited issuance of certain coin series can also drive demand and increase their value over time, making them a strategic investment choice.

Jewelry crafted from silver continues to be in vogue, driven by its affordability and versatility. Silver jewelry appeals across a wide demographic, catering to both contemporar

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

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