Silver rose to 52.44 USD/t.oz on October 20, 2025, up 0.97% from the previous day. Over the past month, Silver's price has risen 19.03%, and is up 54.97% 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 October of 2025.

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.

This dataset contains the predicted prices of Silver Standard for the upcoming years based on user-defined projections.

Explore the complexities of silver price prediction, influenced by industrial demand, investment interest, geopolitical factors, and mining outputs. Understand how analysts use various tools to estimate future price movements amidst market uncertainties.

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).

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 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.

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: 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

After two years of decline, the global silver market increased by 9.2% to $62.4B in 2024. In general, consumption, however, saw a relatively flat trend pattern. As a result, consumption reached the peak level of $65.1B. From 2022 to 2024, the growth of the global market remained at a somewhat lower figure.

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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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 dataset contains the predicted prices of the asset Silver Standard over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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

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

This dataset contains the predicted prices of the asset Silver (Grams) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

The U.S. silver market rose sharply to $7.5B in 2024, increasing by 6.2% against the previous year. Over the period under review, consumption showed a relatively flat trend pattern. Over the period under review, the market reached the peak level at $7.5B in 2012; afterwards, it flattened through to 2024.

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 Brazil 2023 - 2027 Discover more data with ReportLinker!

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.