Nickel rose to 17,328.88 USD/T on April 8, 2026, up 1.78% from the previous day. Over the past month, Nickel's price has fallen 0.58%, but it is still 20.17% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Nickel - values, historical data, forecasts and news - updated on April of 2026.

Monthly and long-term nickel price data (US$/mt): historical series and analyst forecasts curated by FocusEconomics.

According to Cognitive Market Research, the global nickel market size is USD 35695.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 5.00% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 14278.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 10708.56 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 8209.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.0% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 1784.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.4% 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 713.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031.
The Electrical & Electronics End-Uses held the highest nickel market revenue share in 2024

Market Dynamics of Nickel Market

Key Drivers for Nickel Market

Increased Demand for Nickel Batteries to Increase the Demand Globally: One key driver in the nickel market is increased demand for nickel batteries. It is an essential component in the manufacture of lithium-ion batteries, which power electric vehicles. As the globe moves toward greener transportation and E.V. usage grows, so does the demand for nickel. Battery manufacture is projected to be a significant driver of nickel use in the coming years. Historically, the stainless steel sector was the major consumer of nickel. Nickel gives strength and corrosion resistance to steel, making it essential for a variety of applications. As global infrastructure development and industrial activity continue, demand for stainless steel, and thus nickel, remains high.

Boom in Electric Vehicles to Propel Market Growth: Another key driver in the nickel market is the increasing demand for electric vehicles. The worldwide electric vehicle (E.V.) boom is having a big impact on the nickel market, increasing both demand and prices. As the global demand for E.V.s grows, so does the demand for nickel to build these batteries. Major mining corporations such as BHP expect nickel demand to skyrocket in the coming decades, fuelled by the E.V. revolution. This boost in demand is putting strain on nickel supply, resulting in price increases. Nickel prices have already risen in recent years, and some predict that trend to continue as E.V. usage rises. Nickel has traditionally been used primarily in the stainless steel sector. However, the E.V. industry is expected to be the primary growth driver for nickel in the future.

Restraint Factor for the Nickel Market

Environmental and Health Issues to Limit the Sales: One key restraint in the nickel market is the challenge of Environmental and health issues. Nickel is an important metal in today's world. It is an important component of stainless steel, used in a variety of sectors, and used in lithium-ion batteries that power electric vehicles (E.V.s). The worldwide nickel market is expanding as demand for E.V.s rises. However, this expansion has a substantial drawback: environmental and health risks linked with nickel mining and processing. Nickel mining can pollute the air and water via dust, acid mine drainage, and inappropriate waste management. These pollutants can degrade ecosystems, taint drinking water, and impair respiratory health in adjacent communities. Nickel extraction and refining require a lot of energy, and it frequently uses fossil fuels, which contribute to greenhouse gas emissions.

Trends for the Nickel Market

Increasing Demand for Electric Vehicle (EV) Battery Production: The swift expansion of the electric vehicle sector is leading to a notable increase in the need for nickel, especially high-purity Class 1 nickel utilized in lithium-ion batteries. Automobile manufacturers are pursuing reliable sources of nickel to enhance battery energy density, prolong vehicle range, and lessen dependence on cobalt. This movement is transforming global nickel supply chains, prompting mining firms and battery producers to establish strategic alliances and invest in innovative extraction and refining technologies to sustai...

Track Nickel price trends 2026-2027. Covers EV battery demand, stainless steel consumption, Indonesian supply & regional price forecast.

Nickel prices Jan 2026: China USD 20935/MT, India USD 21043/MT, USA USD 21020/MT.

This statistic shows forecasts for the global nickel price at the London Metal Exchange in 2013 and 2014. In 2013, the average LME cash price for nickel is expected to stand at **** U.S. dollars per pound.

Discover the booming nickel market forecast to 2033! This comprehensive analysis reveals a CAGR exceeding 4.80%, driven by EV battery demand and stainless steel growth. Explore key trends, restraints, and major players shaping this dynamic industry. Recent developments include: August 2022: NMDC Ltd. announced its decision to explore opportunities overseas in a bid to mine lithium, nickel, and cobalt in order to meet the growing demand in India. The state-run iron-ore producer is planning to start mining in Australia, as it holds a 90.02% stake in the country's Legacy Iron Ore Ltd., December 2021: Mitsui & Co. Mineral Resources Development (Asia) Corp. (MMRDA) and Sojitz will sell all their shares in CBNC (36% in total to Sumitomo Metal Mining Co. Ltd (SMM). With the sales of the shares, SMM's shareholding ratio in CBNC will increase from the current 54% of the outstanding shares to 90%., October 2021: Renault Group announced the signing of a Memorandum of Understanding (MoU) with Terrafame, for a future supply of nickel sulphate. With this agreement, Renault Group will secure a significant annual supply of nickel sulphate from Terrafame, representing up to 15 GWh of annual capacity., In July 2021: BHP announced the signing of a nickel supply agreement from its Nickel West asset in Western Australia, with one of the world's leading sustainable energy company, Tesla Inc.. Key drivers for this market are: Rising Demand for Corrosion Resistant Alloys in the Oil and Gas Industry, Other Drivers. Potential restraints include: Rising Demand for Corrosion Resistant Alloys in the Oil and Gas Industry, Other Drivers. Notable trends are: Increasing Demand for Stainless Steel.

The Nickel Market Report is Segmented by Application (Stainless Steel, Casting, Alloys, Batteries, Plating, and Other Applications), End-User Industry (Automotive and Transportation, Fabricated Metal Products, Consumer Durables, Construction, Industrial Machinery, and Other End-User Industries), and Geography (Asia-Pacific, North America, Europe, and More). The Market Forecasts are Provided in Terms of Volume (Tons).

The French unwrought nickel market represents a strategically significant node within the broader European and global non-ferrous metals landscape. Characterized by a pronounced reliance on imports to meet domestic industrial demand, the market's dynamics are shaped by international trade flows, price volatility on the London Metal Exchange (LME), and the evolving needs of key downstream sectors. This report provides a comprehensive analysis of the market's structure, drawing upon the latest available data

This statistic shows a forecast of the London Metal Exchange's cash price of nickel from 2015 to 2020. In 2020, it is predicted that the price of nickel will increase over ****** U.S. dollars per metric ton worldwide. Nickel is most commonly used for making steels, nonferrous alloys, and electroplating. It is also common in both industrial and commercial products.

The Nickel Marketsize was valued at USD 36.27 USD Billion in 2023 and is projected to reach USD 51.38 USD Billion by 2032, exhibiting a CAGR of 5.1 % during the forecast period. Key drivers for this market are: Rising Demand for Stainless Steel Fueled Ni Metal Consumption. Potential restraints include: Fluctuating Prices to Hamper Market Growth.

Graph and download economic data for Global price of Nickel (PNICKUSDM) from Jan 1992 to Feb 2026 about nickel, World, and price.

Nickel powder prices in the third quarter showcased a mixed trend in the US market amid the rising fears of recessions. According to market participants, LME

Discover the booming primary nickel market forecast to 2033! This in-depth analysis reveals key drivers, trends, and restraints shaping this dynamic sector, driven by soaring EV battery demand and industrial applications. Learn about leading companies, regional market shares, and future growth projections.

Insights on the Nickel Ore Market reveal a valuation of USD 36.74 Billion in 2025, with projections reaching USD 68.97 Billion by 2035 at a CAGR of 6.5%.

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.

Nickel Price Outlook: TR/CC CRB Nickel index Faces Volatility Amidst Shifting Supply Dynamics.

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 global unwrought nickel market stands as a critical pillar of the modern industrial economy, underpinning the production of stainless steel and serving as an indispensable input for the burgeoning electric vehicle (EV) and renewable energy sectors. This comprehensive 2026 analysis provides a detailed examination of the market's structure, key dynamics, and competitive forces, projecting trends and implications through to 2035. The market is characterized by a concentrated production and consumption land

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.

Nickel Price Volatility Expected to Impact TR/CC CRB Nickel Index

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

Global unwrought nickel market analysis: 2024 consumption, production, trade data, and forecasts to 2035. Key insights on top countries, price trends, and a projected CAGR of +0.6% for volume growth.

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.

Nickel Commodity DJ Forecast: Volatility Expected for the Nickel Index

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