Gold rose to 3,294.43 USD/t.oz on July 31, 2025, up 0.60% from the previous day. Over the past month, Gold's price has fallen 1.31%, but it is still 34.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on July of 2025.

Between January 1971 and May 2025, gold had average annual returns of **** percent, which was only slightly more than the return of commodities, with an annual average of around eight percent. The annual return of gold was over ** percent in 2024. What is the total global demand for gold? The global demand for gold remains robust owing to its historical importance, financial stability, and cultural appeal. During economic uncertainty, investors look for a safe haven, while emerging markets fuel jewelry demand. A distinct contrast transpired during COVID-19, when the global demand for gold experienced a sharp decline in 2020 owing to a reduction in consumer spending. However, the subsequent years saw an increase in demand for the precious metal. How much gold is produced worldwide? The production of gold depends mainly on geological formations, market demand, and the cost of production. These factors have a significant impact on the discovery, extraction, and economic viability of gold mining operations worldwide. In 2024, the worldwide production of gold was expected to reach *** million ounces, and it is anticipated that the rate of growth will increase as exploration technologies improve, gold prices rise, and mining practices improve.

The price of gold per troy ounce increased considerably between 1990 and 2025, despite some fluctuations. A troy ounce is the international common unit of weight used for precious metals and is approximately **** grams. At the end of 2024, a troy ounce of gold cost ******* U.S. dollars. As of * June 2025, it increased considerably to ******** U.S. dollars. Price of – additional information In 2000, the price of gold was at its lowest since 1990, with a troy ounce of gold costing ***** U.S. dollars in that year. Since then, gold prices have been rising and after the economic crisis of 2008, the price of gold rose at higher rates than ever before as the market began to see gold as an increasingly good investment. History has shown, gold is seen as a good investment in times of uncertainty because it can or is thought to function as a good store of value against a declining currency as well as providing protection against inflation. However, unlike other commodities, once gold is mined it does not get used up like other commodities (for example, such as gasoline). So while gold may be a good investment at times, the supply demand argument does not apply to gold. Nonetheless, the demand for gold has been mostly consistent.

Gold prices in , June, 2025 For that commodity indicator, we provide data from January 1960 to June 2025. The average value during that period was 600.07 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3352.66 USD per troy ounce in June 2025. | TheGlobalEconomy.com

The average monthly prices for gold increased worldwide between January 2014 and May 2025, although with some fluctuations. In January 2014, the average monthly price for gold worldwide stood at ******** nominal U.S. dollars per troy ounce. Significant jumps in the gold prices were observed, especially in the periods of uncertainty, as the investors tend to see gold as a safe investment option. For instance, the Corona pandemic acted as a shock to the economy, resulting in substantial increases in gold prices in 2020. As of May 2025, gold valued at ******** U.S. dollars per ounce, the highest value reported during this period.

As of 31 May 2025, MSCI U.S. had an average **-year return rate of ***** percent, whereas gold had a return rate of ***** percent. Gold mining overview In light of recent technological advancements shaping the gold mining market, global gold production has been rather stable in the last few years, hovering around ***** metric tons since 2020. Among nations, Australia holds the highest gold production, surpassing countries with the highest mine gold reserves. Gold as a financial security Known for its ability to provide diversification to investment portfolios, gold has exhibited a positive trend in its Gold’s return rate was particularly high in the early 2000s, and, despite experiencing a decline during the pandemic, it demonstrated a remarkable recovery since. Furthermore, gold serves as a valuable asset for a nation's economic stability, with the United States holding the highest amount of

Silver fell to 37.14 USD/t.oz on July 30, 2025, down 2.81% from the previous day. Over the past month, Silver's price has risen 3.07%, and is up 27.86% 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.

As of 31 May 2025, gold had an average **-year return rate of ***** percent, which was slightly above than U.S. stocks with a rate of ***** percent.

In 2024, one troy ounce of gold had an annual average price of ******** U.S. dollars. Gold pricing determinants Gold is a metal that is considered malleable, ductile, and is known for its bright lustrous yellow color. This transition metal is highly valued as a precious metal for its use in coins, jewelry, and in investments. Gold was also once used as a standard for monetary policies between different countries. The price of gold is determined by daily fixings where participants agree to buy or sell at a set price or to maintain the price through supply and demand control. For gold, companies like Barclays Capital, Scotia-Mocatta, Sociétè Générale, HSBC, and Deutsche Bank are members in gold fixing at the London Bullion Market Association.

This volume appears to record quantities of gold received and issued by the Mint. The statistics for gold received are shown on a monthly basis and are divided into the various mining districts of New South Wales, each Australian state, New Zealand, New Guinea and foreign countries. The figures for gold issued are under three headings: sovereigns, half-sovereigns and bullion. On the basis of marginal notes it appears that this volume was a working document from which various statistical returns were prepared.

( 3/1703). 1 vol.

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

This statistic depicts the average annual prices for gold from 2014 to 2024 with a forecast until 2026. In 2024, the average price for gold stood at 2,388 U.S. dollars per troy ounce, the highest value recorded throughout the period considered. In 2026, the average gold price is expected to increase, reaching 3,200 U.S. dollars per troy ounce.

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.

Is the S&P GSCI Gold Index a Reliable Guide to Gold's Performance?

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: Tracking Precious Metals Performance?

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

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

Gold is the most popular precious metal in the investment industry. The rate of return for gold investments fluctuated significantly during the period from 2002 to 2024 but generated positive returns in most years of the observed period. The return of gold as an investment reached almost ** percent in 2024, one of the highest recorded. Why is gold valuable? Gold is a precious metal with several practical uses, particularly in technology. For example, NASA uses gold to improve its lasers and protect sensitive things in space, including a part of the visor for its astronauts. However, a large share of the demand for gold worldwide is as an investment, particularly by central banks. Gold serves the purpose of an alternative to currency because it is relatively scarce but still has enough mine production to serve the financial sector. Gold as an investment Under the Bretton Woods agreement after World War II, the world’s major currencies were tied to the value of gold. This system, called the Gold Standard, ended in 1971. Still, most countries maintain significant gold reserves. Due to this history and the overall faith in the value of gold, the average gold price tends to increase in times of recession, making it an attractive investment in uncertain times.

The global gold metals market is experiencing robust growth, driven by increasing demand from diverse sectors. While precise market size figures for 2025 aren't provided, we can estimate based on industry trends and available data. Assuming a conservative CAGR (Compound Annual Growth Rate) of 5% (a reasonable estimate given historical gold market performance and considering factors like inflation and investment demand), and using a hypothetical 2025 market size of $150 billion (this figure is a reasonable approximation given the scale of the gold market), the market is projected to reach approximately $200 billion by 2033. This growth is fueled by several key drivers: the ongoing expansion of the electronics industry, which uses gold extensively in circuit boards and other components; the growth of the automotive sector, particularly in electric vehicles, where gold plays a role in advanced electronics; and the enduring appeal of gold in luxury goods, including jewelry and high-end watches. Further, increasing investment in gold as a safe haven asset in times of economic uncertainty contributes to market expansion. However, the market faces certain restraints. Fluctuations in gold prices, impacted by macroeconomic factors and currency exchange rates, represent a significant challenge. Environmental regulations related to gold mining and ethical sourcing concerns also pose constraints on market growth. Further segmentation analysis shows a strong demand for pure gold in electronics, while color gold and mixed-color gold dominate the luxury goods sector. Regional analysis suggests that North America and Asia-Pacific regions are major contributors to the market, due to strong consumer demand, established manufacturing bases, and substantial gold reserves. The continued development of sustainable and responsible mining practices will be crucial for ensuring long-term market stability and growth. Competition among major players like AngloGold Ashanti, Barrick Gold, and Newmont Mining is intense, leading to ongoing innovation and efficiency improvements within the industry. This report provides an in-depth analysis of the global gold metals market, offering invaluable insights for investors, industry professionals, and strategic decision-makers. We delve into production trends, market segmentation, key players, and future growth projections, focusing on the multifaceted nature of gold's applications and the dynamics shaping its market.

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 Gold Index: A Reliable Indicator of Precious Metal Performance?

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.

Junior Gold Performance Poised for Upswing: Experts Forecast.

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

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Precious Metals Market Size 2025-2029

The precious metals market size is forecast to increase by USD 105.3 billion, at a CAGR of 6.4% between 2024 and 2029. The market is characterized by its role as a safe haven in times of economic instability. Amid increasing global uncertainty, investors continue to seek refuge in precious metals, driving market demand.

Major Market Trends & Insights

APAC dominated the market and accounted for a 44% share in 2023.
The market is expected to grow significantly in North America region as well over the forecast period.
Based on the Type, the gold segment led the market and was valued at USD 110.60 billion of the global revenue in 2023.
Based on the Application, the industrial segment accounted for the largest market revenue share in 2023.

Market Size & Forecast

Market Opportunities: USD 289.40 Billion
Future Opportunities: USD 105.3 Billion
CAGR (2024-2029): 6.4%
APAC: Largest market in 2023

The market continues to evolve, driven by diverse applications across various sectors. Refining byproducts serve as crucial inputs in numerous industries, such as silver halide photography and catalytic converters. Metal corrosion resistance makes precious metals indispensable in secondary refining processes, dental gold alloys, and jewelry manufacturing techniques. Industry growth expectations remain robust, with precious metal trading projected to expand by 5% annually. For instance, the gold refining process has seen significant advancements in metal purity standards, leading to the production of investment-grade bullion. Silver recovery methods have also improved, enabling higher yields from ore processing methods. Platinum group metals, including palladium, find extensive applications in chemical extraction methods, electroplating processes, and electronic components.

What will be the Size of the Precious Metals Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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Metal futures contracts provide a vital platform for precious metal investment, allowing market participants to hedge against spot price fluctuations. Metallurgical analysis plays a pivotal role in understanding metal alloy composition and assaying techniques, ensuring consistent product quality. Meanwhile, mining production data and metal refining technology continue to advance, enhancing mine efficiency and reducing production costs. An illustrative example of market dynamics can be seen in the silver market, where the price increased by 30% in 2020 due to increased industrial demand and reduced mine production. Precious metal recycling and platinum electrode fabrication further contribute to the market's continuous unfolding. The silver segment is the second largest segment of the type and was valued at USD 102.90 billion in 2023.

However, this market is not without challenges. The growing focus on Environmental, Social, and Governance (ESG) factors poses significant obstacles. Specifically, concerns over the environmental impact of mining and extraction processes are gaining prominence, potentially leading to increased regulations and operational challenges for market participants. Companies must navigate these regulatory hurdles while also addressing social concerns, such as labor rights and community engagement, to maintain a positive market reputation.

In addition, governance issues, including transparency and ethical sourcing, continue to be critical considerations for investors. To capitalize on market opportunities and effectively manage these challenges, companies must prioritize sustainable practices, robust stakeholder engagement, and transparent reporting. By doing so, they can not only mitigate risks but also differentiate themselves in a competitive market landscape.

How is the Precious Metals Industry segmented?

The precious metals industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Gold
  Silver
  Platinum


Application

  Industrial
  Jewelry
  Investment


End-use Industry

  Jewelry Manufacturing
  Automotive (Catalytic Converters)
  Electronics
  Chemical Processing
  Healthcare


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Type Insights

The gold segment is estimated to witness significant growth during the forecast period. The segment was valued at USD 110.60 billion in 2023. It continued to the largest segment at a CAGR of

This graph show how interest rates hikes by the U.S. Federal Reserve affect gold's price. While gold underperforms during the period leading up to rate hikes, its performance improves during the year after the interest rates increase.