Graph and download economic data for Stock Market Total Value Traded to GDP for India (DDDM02INA156NWDB) from 2000 to 2020 about market cap, India, stock market, trade, and GDP.

Key information about India Market Capitalization: % of GDP

• India Market Capitalization accounted for 133.5 % of its Nominal GDP in Dec 2024, compared with a percentage of 120.9 % in the previous year
• India Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1993 to Dec 2024
• The data reached an all-time high of 146.4 % in Dec 2007 and a record low of 23.0 % in Dec 2001

CEIC calculates annual Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. BSE Limited provides Market Capitalization in local currency. The Ministry of Statistics and Programme Implementation provides Nominal GDP in local currency. Nominal GDP is reported in annual frequency, ending in March of each year.


Further information about India Market Capitalization: % of GDP

• In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025
• Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025

Stock market capitalization to GDP (%) in India was reported at 97.29 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market capitalization to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

In fiscal year 2024, market capitalization to GDP ratio for both National Stock Exchange of India (NSE) and Bombay Stock Exchange (BSE) was over *** percent. This was a 15-year high, and among the highest worldwide, comparable with the U.S. and Japan.

Stock market total value traded to GDP (%) in India was reported at 72.92 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market total value traded to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

The market capitalization of listed domestic companies as a share of GDP in India decreased by *** percentage points (-**** percent) in 2022 in comparison to the previous year. Nevertheless, the last two years recorded a significantly higher market capitalization than the preceding years.Market capitalization, or market cap, refers to the total value of all a company's shares of stock. Based on market cap, companies may be categorized as large-, mid-, or small-cap.Find more statistics on other topics about India with key insights such as market capitalization of listed domestic companies.

Market capitalization of listed domestic companies (% of GDP) in India was reported at 131 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Market capitalization of listed companies (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This statistic illustrates the market capitalization to gross domestic product (GDP) ratio in India from 2006 to 2015. The market capitalization to GDP ratio in India in 2015 stood at ** percent, down from ** percent in 2014.

In 2022, the market capitalization of listed domestic companies in India did not change in comparison to the previous year. The market capitalization of listed domestic companies remained at *** trillion U.S. dollars. Market capitalization is the total value of all outstanding shares of a company at the current market price. Investors and analysts use it commonly to compare and categorize the size of companies.Find more statistics on other topics about India with key insights such as market capitalization of listed domestic companies as a share of GDP.

Key information about India Investment: % of GDP

• India Investment accounted for 30.5 % of its Nominal GDP in Dec 2024, compared with a ratio of 34.7 % in the previous quarter.
• India investment share of Nominal GDP data is updated quarterly, available from Jun 2004 to Dec 2024, with an average ratio of 33.6 %.
• The data reached an all-time high of 41.2 % in Sep 2011 and a record low of 21.8 % in Jun 2020.

CEIC calculates Investment as % of Nominal GDP from quarterly Nominal Gross Capital Formation and quarterly Nominal GDP. Gross Capital Formation is calculated as the sum of Gross Fixed Capital Formation, Changes in Stocks and Valuables. Ministry of Statistics and Programme Implementation provides Nominal Gross Capital Formation in local currency and Nominal GDP in local currency, based on SNA 2008 at 2011-2012 prices. Investment as % of Nominal GDP prior to Q2 2011 is based on a combination of SNA 2008 and SNA 1993, at 2004-2005 prices.


Related information about India Investment: % of GDP

• In the latest reports, India GDP expanded 6.1 % YoY in Mar 2023.
• India Nominal GDP reached 873.7 USD bn in Mar 2023.
• Its GDP deflator (implicit price deflator) increased 4.1 % in Mar 2023.
• India GDP Per Capita reached 2,452.2 USD in Mar 2023.
• Its Gross Savings Rate was measured at 30.7 % in Mar 2024.

Stock market turnover ratio (%) in India was reported at 74.95 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market turnover ratio - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Inde: Stock market capitalization as percent of GDP: Pour cet indicateur, La Banque mondiale fournit des données pour la Inde de 2000 à 2022. La valeur moyenne pour Inde pendant cette période était de 80.92 pour cent avec un minimum de 30.65 pour cent en 2001 et un maximum de 161.24 pour cent en 2007.

During the fiscal year 2023, the total turnover to GDP ratio for equity derivative segments traded on both the National Stock Exchange of India (NSE) and the Bombay Stock Exchange (BSE) exceeded 14 thousand. Whereas, for the cash segment, the total turnover to GDP ratio was significantly smaller in the same year.

Key information about India P/E ratio

• India SENSEX recorded a daily P/E ratio of 21.540 on 26 Mar 2025, compared with 21.740 from the previous day.
• India SENSEX P/E ratio is updated daily, with historical data available from Dec 1988 to Mar 2025.
• The P/E ratio reached an all-time high of 36.210 in Feb 2021 and a record low of 15.670 in Mar 2020.
• BSE Limited provides daily P/E Ratio.

In the latest reports, Sensitive 30 (Sensex) closed at 73,198.100 points in Feb 2025.

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.

IDX Composite: A Barometer of India's Economic Health?

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

India’s share of global gross domestic product (GDP) rose to 8.25 percent in 2024 when adjusted for purchasing power parity (PPP) and was projected to increase to 10 percent by 2030. This reflects the growth of India’s economy, which is helped in this ranking by the low purchasing power of the rupee. The Indian economy A significant portion of India’s economic growth comes from a shift in the workforce from the agricultural sector to the more-productive service sector. This labor force shift is particularly significant in India because of the country’s staggering population figures. As such, changes in the Indian economy have an impact on a significant portion of the world population. What does PPP mean? The Economist magazine uses the Big Mac Index to illustrate purchasing power. Since the product should be the same in every country that has a McDonalds, the Big Mac’s price should reflect the purchasing power of each local currency. For the calculation in this statistic, economists took the prices of several standard goods (though not the Big Mac) and put them at the same level based on their prices in the local currency. Thus, the power of these currencies to purchase was put on par across countries, giving purchasing power parity. As such, this statistic can be interpreted as the relative size of the Indian economy if the whole world used the Indian rupee price levels.

Analysis of ‘Nifty IT Index daily data 2011 to 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/abhijeetbhilare/nifty-it-index-daily-data-2011-to-2022 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

IT is one of the biggest revenue making industry in India. Around 8% of India's GDP is contributed by IT sector. This dataset shows how Top 10 IT companies of India are performing on daily basis.

Content

Dataset contains Daily performance of Top 10 IT companies of India listed on Nifty stock Exchange. Below are the brief In-sites about each column. 1. Date - Date of trading 2. Open - At what price trading started 3. High - Day's high traded price 4. Low - Day's low traded price 5. Close - At what price trading ended 6. Shares Traded - Volume of shares traded 7. Turnover - Turnover in Rupees (Cr.)

Acknowledgements

This dataset is taken from NSE site

Inspiration

Lets analyze Nifty IT sector and forcast how it will perform in future

--- Original source retains full ownership of the source dataset ---

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.

Sensex to Surge, Experts Predict Strong Growth for the Indian 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

The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of 2024, Mumbai had a gross domestic product of *** billion U.S. dollars, the highest among other major cities in India. It was followed by Delhi with a GDP of around *** billion U.S. dollars. India’s megacities also boast the highest GDP among other cities in the country. What drives the GDP of India’s megacities? Mumbai is the financial capital of the country, and its GDP growth is primarily fueled by the financial services sector, port-based trade, and the Hindi film industry or Bollywood. Delhi in addition to being the political hub hosts a significant services sector. The satellite cities of Noida and Gurugram amplify the city's economic status. The southern cities of Bengaluru and Chennai have emerged as IT and manufacturing hubs respectively. Hyderabad is a significant player in the pharma and IT industries. Lastly, the western city of Ahmedabad, in addition to its strategic location and ports, is powered by the textile, chemicals, and machinery sectors. Does GDP equal to quality of life? Cities propelling economic growth and generating a major share of GDP is a global phenomenon, as in the case of Tokyo, Shanghai, New York, and others. However, the GDP, which measures the market value of all final goods and services produced in a region, does not always translate to a rise in quality of life. Five of India’s megacities featured in the Global Livability Index, with low ranks among global peers. The Index was based on indicators such as healthcare, political stability, environment and culture, infrastructure, and others.