The Gross Domestic Product (GDP) in India was worth 3912.69 billion US dollars in 2024, according to official data from the World Bank. The GDP value of India represents 3.69 percent of the world economy. This dataset provides the latest reported value for - India GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product (GDP) in India expanded 8.20 percent in the third 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.

Techsalerator's News Events Data for India: A Comprehensive Overview

Techsalerator's News Events Data for India provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across India, drawing from a diverse array of media sources, including newspapers, online publications, and social media platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring developments within specific industries.

Key Data Fields Event Date: Records the exact date of the news event, essential for analyzing trends over time or for businesses responding to market shifts.

Event Title: A brief headline summarizing the event, allowing users to quickly categorize and assess the relevance of news content to their interests.

Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the event's reach and influence.

Location: Provides geographic information on where the event occurred within India, valuable for regional analysis or localized marketing efforts.

Event Description: Offers a detailed summary of the event, outlining key developments, participants, and potential impact. This information helps researchers and businesses understand the context and implications of the event.

Top 5 News Categories in India Politics: Covers major news related to government decisions, political movements, elections, and policy changes impacting the national landscape.

Economy: Focuses on India's economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors.

Social Issues: Includes news on protests, public health, education, and other societal concerns that drive public discourse.

Sports: Highlights events in cricket, football, and other popular sports, often drawing significant attention and engagement across the country.

Technology and Innovation: Reports on tech advancements, startups, and innovations in India's growing tech ecosystem, featuring companies like Tata Consultancy Services and Infosys.

Top 5 News Sources in India The Times of India: A leading newspaper providing extensive coverage of politics, economy, and social issues.

The Hindu: A respected publication known for its in-depth reporting on national and international news, politics, and cultural events.

NDTV: A major news network offering real-time updates on current affairs, sports, and entertainment.

Hindustan Times: A prominent newspaper covering national politics, business news, and social issues.

Economic Times: A leading source for business and financial news, focusing on economic developments and corporate activities.

Accessing Techsalerator’s News Events Data for India To access Techsalerator’s News Events Data for India, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields Event Date Event Title Source Location Event Description Event Category (Politics, Economy, Sports, etc.) Participants (if applicable) Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is a valuable tool for keeping track of significant events in India. It supports informed decision-making, whether for business strategy, market analysis, or academic research, offering a clear view of the country's news landscape.

Full Year GDP Growth in India decreased to 6.50 percent in 2025 from 9.20 percent in 2024. This dataset includes a chart with historical data for India Full Year GDP Growth.

Explore the "Bloomberg Quint News Dataset," a comprehensive collection of news articles from Bloomberg Quint, a leading source of financial, business, and economic news in India and around the world.

This dataset includes thousands of articles covering a wide range of topics, such as financial markets, economic policies, corporate news, technology, politics, and more. Each article in the dataset comes with detailed information, including headlines, publication dates, authors, article content, and categories, offering valuable insights for researchers, data analysts, and media professionals.

Key Features:

• Extensive Coverage: Thousands of news articles from Bloomberg Quint, covering diverse topics including business, finance, economics, technology, and global news.
• Detailed Metadata: Each article includes key details such as headline, publication date, author, content, and category, making it ideal for in-depth research and analysis.
• Ideal for Analysis: Perfect for researchers, data scientists, and content strategists looking to analyze trends in news reporting, study media coverage, or develop content strategies.
• Rich Source of Information: Provides up-to-date information on financial markets, economic policies, and global events, helping professionals stay informed and make data-driven decisions.

Whether you're researching financial trends, analyzing media coverage, or developing new content, the "Bloomberg Quint News Dataset" is an invaluable resource that offers detailed insights and extensive coverage of the latest news.

The Gross Domestic Product (GDP) in India expanded 1.70 percent in the second quarter of 2025 over the previous quarter. This dataset provides - India GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of 2024, the number of consumers of online news in India tallied approximately *** million. Over the years, the South Asian giant witnessed an increasing trend in the consumption of news online. This could be attributed to the sweeping trend of digitization having taken over most sectors of the Indian economy, especially the media and entertainment industry.

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Inflation Rate in India decreased to 0.25 percent in October from 1.44 percent in September of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Context

Stock markets and market indices are often affected by business headlines and the latest happenings of the country and around the world especially intraday trading. While technical scores and financial books might not be able to predict such ups and downs applying machine learning techniques like NLP can help use past experiences to make predictions based on common experiences and headlines made by companies in the past and present. Here is a data set that includes all the business news that made headlines between 01/01/2014 to 31/12/2020. Further features may be added like if it was an election year or a sudden fall of MCX indices.

Industrial Production in India increased 0.40 percent in October of 2025 over the same month in the previous year. This dataset provides - India Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in India was last recorded at 2396.71 US dollars in 2024. The GDP per Capita in India is equivalent to 19 percent of the world's average. This dataset provides - India GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

# Daily news data from January, 2018 to February, 2022

title- Title of the news date- Date of the news published on synopsis - Small description/synopsis of the news body - Full body of the article published news_keywords - Keywords related to the news article link - Base uri of the news article

Key information about India Gross National Product (GNP)

• India Gross National Product (GNP) was reported at 3,589.169 USD bn in Dec 2023.
• This records an increase from the previous number of 3,301.403 USD bn for Dec 2022.
• India Gross National Product (GNP) data is updated yearly, averaging 277.336 USD bn from Dec 1957 to 2023, with 67 observations.
• The data reached an all-time high of 3,589.169 USD bn in 2023 and a record low of 28.750 USD bn in 1957.

• India Gross National Product (GNP) data remains active status in CEIC and is reported by CEIC Data.
• CEIC shifts year-end for annual Gross National Product and converts it into USD. Ministry of Statistics and Programme Implementation provides Gross National Product in local currency based on SNA 2008, at 2011-2012 prices. Federal Reserve Board average market exchange rate is used for currency conversions. Gross National Product is reported in annual frequency, ending in March of each year.

Content

News headlines of Economic Times from 2010 to 2020

Dataset

This dataset was created by om agrawal

Contents

View yearly updates and historical trends for India GDP. Source: World Bank. Track economic data with YCharts analytics.

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

Consumer Price Index (CPI) in India, October, 2025 The most recent value is 197.3 index points as of October 2025, an increase compared to the previous value of 197 index points. Historically, the average for India from January 2011 to October 2025 is 141.9051 index points. The minimum of 88.4 index points was recorded in February 2011, while the maximum of 197.3 index points was reached in October 2025. | TheGlobalEconomy.com

Indian Stock Market Dataset

This dataset contains various types of data related to the Bombay Stock Exchange (BSE), the oldest and largest stock exchange in India. Includes information about:

• Active companies listed on BSE, their industry, security ID, and status
• Stock quotes for each company, including open, high, low, close, volume, and other metrics
• Stock quote buy and sell data for each company
• Period trend data for each company for 1 month, 3 months, 6 months, and 12 months
• Historical and latest quarter financial statements for each company, including year-on-year results, quarter results, balance sheet, and cash flow
• Statement analysis for each company based on various indicators and ratios
• Peers comparisons for each company based on market capitalization, price-to-earnings ratio, dividend yield, and other metrics
• Corporate news for each company from various sources

The data was collected using Python libraries such as bsedata and bselib, which allow extracting real-time data from BSE website. The data was then cleaned, formatted, and organized into different CSV files for easy access and analysis.

The dataset can be used for various types of projects that require getting live quotes or historical data for a given stock or index, or building large data sets for data analysis and machine learning. Some possible applications are:

• Exploratory data analysis and visualization of the Indian stock market trends and patterns
• Fundamental analysis and valuation of individual companies based on their financial performance and ratios
• Technical analysis and trading strategies based on price movements and indicators
• Portfolio optimization and risk management based on diversification and correlation
• Sentiment analysis and natural language processing of corporate news and their impact on stock prices

The dataset is updated regularly with new data as it becomes available on BSE website. The dataset is also open-sourced and reproducible using Kaggle Notebooks, a cloud computational environment that enables interactive and collaborative analysis.