Euro Area recorded a Current Account surplus of 38.90 EUR Billion in June of 2025. This dataset provides the latest reported value for - Euro Area Current Account - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for Native Decentralized Euro Protocol Share on 2025-09-22. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Euro Container Market Outlook

The global euro container market size was valued at approximately USD 6.8 billion in 2023 and is projected to reach USD 10.7 billion by 2032, growing at a CAGR of 5.1% during the forecast period. The growth of the euro container market is significantly driven by the increasing demand for efficient, durable, and cost-effective storage and transportation solutions across various industries. Factors such as the rise in global trade activities, advancements in manufacturing technologies, and the growing emphasis on sustainability and efficient logistics management are propelling the market forward.

One of the fundamental growth factors for the euro container market is the expansion of the logistics and transportation sector. As global trade continues to expand, there is an increasing need for robust and reliable storage solutions that can withstand the rigors of transportation. Euro containers, known for their durability and standard dimensions, provide an ideal solution for these needs. Their stackable design and compatibility with automated handling systems make them a preferred choice for logistics companies aiming to optimize space and streamline operations.

Additionally, the surge in e-commerce activities has led to a substantial increase in the volume of goods being transported across regions, further boosting the demand for euro containers. The e-commerce boom has necessitated efficient and flexible packaging solutions to ensure the safe delivery of goods, thereby driving the growth of the euro container market. Moreover, the emphasis on quick delivery and the reduction of turnaround times in supply chain operations have highlighted the importance of reliable and reusable containers, fostering market growth.

The growing focus on sustainability and environmental responsibility is another key driver for the euro container market. Industries are increasingly adopting reusable packaging solutions to minimize waste and reduce their carbon footprint. Euro containers, made from recyclable materials and designed for multiple uses, align with these sustainability goals. The shift towards green logistics and the implementation of stringent regulations on single-use plastics are encouraging businesses to invest in eco-friendly packaging alternatives such as euro containers.

Regionally, Europe is a significant market for euro containers, driven by the region's well-established logistics and transportation infrastructure. The presence of major automotive and manufacturing industries also contributes to the high demand for euro containers in Europe. North America is another prominent market, fueled by the growth of the retail and e-commerce sectors. The Asia Pacific region is expected to witness substantial growth during the forecast period, attributed to the rapid industrialization, expanding logistics networks, and the increasing adoption of modern warehousing solutions in countries like China and India.

Material Type Analysis

The euro container market can be segmented by material type into plastic, metal, and others. Among these, plastic euro containers dominate the market due to their lightweight nature, durability, and cost-effectiveness. Plastic containers are preferred for their ease of handling and resistance to corrosion, making them suitable for various applications. The versatility of plastic containers, which can be molded into different shapes and sizes, further enhances their appeal across industries.

Metal euro containers, although less prevalent than plastic ones, hold significant importance in applications requiring enhanced strength and durability. Industries such as automotive and heavy machinery often prefer metal containers for transporting heavy or bulky items that need robust protection. Metal containers are also favored in environments with extreme conditions where plastic may not perform as adequately, such as high-temperature settings or where there is a risk of fire.

Other materials used for euro containers include composites and biodegradable materials. With the growing emphasis on sustainability, there is a rising interest in biodegradable euro containers that can decompose naturally without harming the environment. Composites, which combine the properties of different materials, offer unique benefits such as increased strength and reduced weight, making them suitable for specialized applications where standard plastic or metal containers may not suffice.

The choice of material is often dictated by the specific needs of the appli

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.

Euro Stoxx 50 Index Stock Price Prediction

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 statistic shows a forecast of the gross domestic product (GDP) growth in the euro countries in 2025. In 2025, the gross domestic product in Germany is forecast to grow by 1.33 percent over the previous year.

Mining production In the Euro Area increased 2.40 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Euro Area Mining Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

New Zealand ANZ Forecast: Foreign Exchange Rate: Annual: Euro data was reported at 0.540 NZD/EUR in 2025. This records a decrease from the previous number of 0.550 NZD/EUR for 2024. New Zealand ANZ Forecast: Foreign Exchange Rate: Annual: Euro data is updated yearly, averaging 0.570 NZD/EUR from Dec 2018 (Median) to 2025, with 8 observations. The data reached an all-time high of 0.600 NZD/EUR in 2021 and a record low of 0.540 NZD/EUR in 2025. New Zealand ANZ Forecast: Foreign Exchange Rate: Annual: Euro data remains active status in CEIC and is reported by ANZ Bank New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.M017: Foreign Exchange Rate: Forecast: ANZ Bank Ltd.

This dataset contains model data from the Met Office Unified Model (UM) operational Numerical Weather Prediction (NWP) European high resolution model. This is a regional downscaled configuration of the Unified Model, covering a European domain, with hourly forecast data covering the period T+1 to T+54 hours. With a resolution of approximately 0.04 degrees it is able to produce selected hourly data covering the first 48 hours at surface level and at standard pressure levels four times a day. The model’s initial state is kept close to the real atmosphere by starting from a downscaled global starting condition. This archive currently holds data from April 2016 onwards but data will be back populated for earlier years.

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.

EMN EURO MANGANESE INC

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.

Euro Stoxx 50 index navigates choppy waters with cautious optimism

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

Chemical production in many European countries was forecast to annually increase from 2021 to 2025. In 2021, France's chemical production was forecast to grow by over *** percent, whereas the production of chemicals in the United Kingdom was forecast to increase by *** percent that year. On average, Europe's chemical production was expected to increase by around *** percent in 2021, rebounding from the drop experienced during 2020.

Government spending In the Euro Area was last recorded at 49.6 percent of GDP in 2024 . This dataset provides the latest reported value for - Euro Area Government Spending to GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The passenger aircraft fleet in Europe is anticipated to see 7,435 new deliveries by 2038. Roughly half of these will replace existing aircraft. The majority of new deliveries belong to the small segment (about 5,800 units). New deliveries in the medium and large segments are expected to amount to 1,035 and 640 units, respectively.

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the "forecast initialized from observations with forcing from ssp245" (dcppB-forecast) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: s2020-r10i1p1f1, s2020-r1i1p1f1, s2020-r2i1p1f1, s2020-r3i1p1f1, s2020-r4i1p1f1, s2020-r5i1p1f1, s2020-r6i1p1f1, s2020-r7i1p1f1, s2020-r8i1p1f1 and s2020-r9i1p1f1.

CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).

The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.

Europe Rail Freight Transportation Market was valued at USD 225.0 Million in 2024 and is expected to reach USD 320.0 Million by 2030 with a CAGR of 4.7%.

The report covers European Coal Companies and the market is segmented by type (anthracite, bituminous, sub-bituminous, and lignite), application (electricity, steel, cement, and others), and geography (Russia, Germany, Poland, and the Rest of Europe). The market size and forecasts are provided in terms of revenue (USD) for all the above segments.

Europe Cosmetic Market valued at USD 97.1 billion in 2023 is projected to reach USD 133.9 billion by 2031, growing at a 4.1% CAGR

The Gross Domestic Product per capita In the Euro Area was last recorded at 38145.12 US dollars in 2024. The GDP per Capita In the Euro Area is equivalent to 302 percent of the world's average. This dataset provides the latest reported value for - Euro Area GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The size of the Europe mHealth Industry market was valued at USD 27.61 Million in 2023 and is projected to reach USD 134.86 Million by 2032, with an expected CAGR of 25.43% during the forecast period.mHealth is the act of improving health outcomes by leveraging mobile technology-wireless mobile phone and tablets. Such is an industry in Europe currently gathering pace in a range of areas, including growing population, aging population, rocketing healthcare costs, and calls made by consumers to make health solutions accessible, easy to use, and meeting unique consumer needs.European mHealth applications are diverse and can be categorized in multiple healthcare areas. Amongst some of the most frequently applied applications of mobile health devices are telemonitoring patients whereby patients will be allowed to transmit their vital signs and other health data to the healthcare providers who will continuously monitor and intervene early if the need arises. Several mobile health applications that are very popular enable the individual in fitness, diet, and also in medication adherence, among others. It is with the rising use of mHealth technologies for consultation purposes in telemedicine that patients can connect themselves to healthcare providers anywhere throughout the country without having to travel to distant locations, especially in rural or underserved areas. The European Union highlighted the potential of mHealth and launched several initiatives that had to be undertaken in its efforts to realize the concept. For example, it has the EU4Health program, which seems to pay more attention to the development of digital health innovation and enhancing access to health services. European countries have also planned for their national strategies related to mHealth in order to incorporate mobile technologies into their healthcare systems.In sum, the European mHealth industry will feel the upsurge of growth and alter the health care delivery to better patient outcomes.As technology keeps advancing and regulatory frameworks keep on changing, the future of health care in Europe should, more and more, be centered on the role that mHealth would play. Key drivers for this market are: Rise in Use of Smartphones, Tablets, Increasing Focus on Personalized Medicine and Patient-Centered Approach; Increased Need of Point of Care Diagnosis and Treatment. Potential restraints include: Data Security Issues, Stringent Regulatory Policies for mHealth Applications. Notable trends are: Blood Glucose Monitors are Expected to Have the Largest Share in Device Type Segment.