The Gross Domestic Product (GDP) in Ukraine expanded 0.90 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - Ukraine GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The real gross domestic product (GDP) growth across the Asia-Pacific region was projected to increase to *** percent in 2023, a rebound from *** percent in 2022. APAC's emerging markets and developing economies were forecast to maintain a higher growth rate than the region's advanced economies in both 2023 and 2024.

France's economy posted a slight growth in the first quarter of 2025. This follows a period of fluctuations in 2020, when the country recorded a historic contraction of **** percent in the second quarter, followed by a record rebound of **** percent in the third quarter.

Thailand’s gross domestic product (GDP) grew at a rate of 2.53 percent in 2024. The Thai economy Thailand relies less on agriculture and more on employment in the service sector, which is a sign of a more advanced economy. This development is also apparent in its GDP per capita, which is one of the highest in Southeast Asia. One aspect of a developed economy is that it is more diverse, and thus less exposed to economic shocks. This statistic reflects that robustness in its optimistic view of Thai GDP growth. Domestic factors Thailand has posted an incredibly low unemployment rate for several years, which suggests that the workforce matches the demand for labor remarkably well. Equally important, the inflation rate tends to be low and stable, though sometimes too low. If Thailand wants to realize the positive projections in this statistic, the inflation rate of the baht should be between 2 and 3 percent, according to most economists.

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.

Nifty 50: Retracement or Rebound?

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

Graph and download economic data for Real gross value added: GDP: Business: Farm (B359RX1Q020SBEA) from Q1 1947 to Q1 2025 about value added, agriculture, gross, business, real, GDP, and USA.

The Gross Domestic Product (GDP) in Nicaragua expanded 3 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - Nicaragua GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in Moldova expanded 1.10 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - Moldova GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

From 2013 to 2019, the gross domestic product (GDP) of all five Nordic countries except Finland grew every year. Finland had a negative growth rate between 2012 and 2014. However, after the outbreak of COVID-19 in 2020, GDP growth rates in all five countries were negative. Relatively speaking, Iceland's economy was hit the hardest, whereas Norway's decrease was least dramatic. As of October 2023, the GDP of Sweden and Finland were forecast to decline, while it was forecast to increase in the other three countries. This must be seen in relation with the high inflation rates in 2022 and 2023.

Mozambique's Gross Domestic Product (GDP) increased by roughly *** percent in the third quarter of 2021, compared to the same period in the previous year. The country's economy has been showing recovery signs after the contraction registered in 2020. Particularly in the second quarter of that year, Mozambique's GDP shrank by *** percent. Improved performance by mining, hospitality, and agricultural activities boosted the current rebound.

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.

Informatica Stock: Ready for a Rebound? (INFA)

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

Graph and download economic data for State and local government current tax receipts (W070RC1Q027SBEA) from Q1 1947 to Q1 2025 about state & local, receipts, tax, government, GDP, and USA.

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.

Franchise (FRAN) Brands: Rebound on the Horizon?

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 Gross Domestic Product (GDP) in Iceland expanded 2.60 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - Iceland GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

OPFI: Ready for a Rebound?

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 economy of the United Kingdom is expected to fall by ** percent in the second quarter of 2020, following the Coronavirus outbreak and closure of several businesses. According to the forecast the economy will bounce back in the third quarter of 2020, based on a scenario where the lockdown lasts for three months, with social distancing gradually phased out over a subsequent three-month period.

The Gross Domestic Product (GDP) in Jamaica expanded 1.10 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - Jamaica GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

By 2022, Kenya’s Gross Domestic Product is forecast to increase by 4.7 percent. According to the source’s estimates, the country recorded economic growth of five percent in 2021, recovering from a 0.3 percent contraction in 2020, as an effect of the coronavirus pandemic. The rebound has been attributed to household income and job growth, as well as to the COVID-19 vaccination campaign. Roughly 30 percent of the adult population has been fully vaccinated against the disease in Kenya so far.

Recovery through key sectors

The strongest impact of the coronavirus crisis on the Kenyan economy was felt in the second quarter of 2020. By then, the country’s GDP decreased by 5.5 percent, the first negative growth in recent years. As of the third quarter of 2021, Kenya already registered an improved economic performance, with the quarterly GDP growth rate measured at 9.9 percent. The educational sector pushed the result, with an expansion of 65 percent. Mining and quarrying, and accommodation and food services followed, each with a 25 percent growth rate.

An optimistic economic forecast in East Africa

East Africa's economic growth might reach nearly five percent in 2022, according to estimates. This would represent a strong recovery from 2020, when the region’s economy expanded by only 0.4 percent, due to the COVID-19 pandemic. Cumulatively, more than 1.34 million people in East Africa have been infected by the disease. Although most of the countries in the region have already launched a vaccination campaign, the number of vaccine doses administered per 100 people is still low.

East Africa's economic growth might rebound in 2021, according to estimates done in September that year. For 2020, the real Gross Domestic Product (GDP) in the region was estimated to expand by only *** percent, weakened due to the coronavirus (COVID-19) pandemic. Kenya might present the strongest growth among nations in the region, at *** percent, after the country's GDP shrunk by *** percent in 2020. On the other hand, Ethiopia's economy might register a **** percent growth, against an expansion of *** percent in 2020.

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Construction Market in EMEA Size 2024-2028

The construction market in emea size is forecast to increase by USD 382.8 billion at a CAGR of 5.34% between 2023 and 2028. The market (Europe, Middle East, and Africa) is experiencing significant changes, driven by various factors. One key trend is the increasing adoption of green buildings, which are in the Innovator's stage in some regions and the Early Majority in others, leading to varying adoption rates and penetration levels. Another trend is the implementation of new technologies and materials, such as Building Information Modeling (BIM) and precast concrete, which are altering purchase criteria for construction projects. The market also faces challenges, including the rising cost of construction, particularly in heavy & civil engineering and specialty trade contracting sectors. These trends and challenges are shaping the future of the construction industry in EMEA, with a focus on sustainability, efficiency, and cost-effectiveness.

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The construction industry in Europe, the Middle East, and Africa (EMEA) is experiencing a significant rebound, fueled by the real GDP recovery and increased economic activity. This resurgence is evident in various sectors, including residential and non-residential building construction. Construction sheets, such as flooring, walls & ceilings, roofing, and HVAC systems, are in high demand as the end-user industry continues to recover. The urban population growth and immigration trends are driving the demand for new residential buildings, leading to a surge in residential building permits. Infrastructure building is another sector witnessing a resurgence, with public investments in roads, electricity and power, water and sewage, ports, and airports contributing to the growth.

Concrete machinery and other construction equipment sales are experiencing a corresponding increase due to the heightened infrastructure development activities. The construction industry's recovery is also influenced by energy prices and material prices. While lower energy prices have reduced production costs, material prices have been on the rise due to increased demand and supply chain disruptions. The EU-backed investment in green initiatives, such as carbon neutrality and reducing greenhouse gas emissions, is also impacting the construction market. This trend is leading to an increased focus on sustainable building materials and energy-efficient HVAC systems. Commercial and industrial construction sectors are also experiencing growth, driven by the economic recovery and the need for new facilities to accommodate expanding businesses.

The demand for new offices, warehouses, and factories is expected to continue, leading to increased sales of construction equipment and materials. In conclusion, the market is experiencing a robust recovery, driven by the real GDP growth, increased economic activity, and public investments in infrastructure. The demand for construction sheets, concrete machinery, and other equipment is expected to remain strong, with flooring, walls & ceilings, roofing, HVAC, and infrastructure building sectors leading the growth. The focus on sustainability and carbon neutrality is also influencing the market trends, with a growing emphasis on green building materials and energy-efficient systems.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Private sector
  Public sector


Type

  Commercial
  Residential


Geography

  EMEA

By End-user Insights

The private sector segment is estimated to witness significant growth during the forecast period.In the EMEA region, the construction industry has witnessed significant activity in the private sector, with a focus on residential and commercial projects. The need for maintaining and renovating existing buildings is on the rise due to the increasing population and the presence of aging structures. This trend is particularly noticeable in the residential sector, where the demand for energy-efficient and modernized homes is driving the need for retrofitting and renovation. Government regulations have also played a role in this trend, with stricter policies being implemented to ensure that building contractors and property owners adhere to energy-efficient building norms.

As a result, there is a growing emphasis on optimizing heating and cooling systems, as well as other energy-saving measures, within buildings. Construction sheets and equipment sales are expected to benefit from this increased demand for renovation and retrofitting activities. End-user industries, including the residential and commercial sectors, are expected to drive the growth in this market. According to recent economic data