China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

This dataset is about stocks. It has 1 row and is filtered where the company is Locasystem International. It features 8 columns including stock name, company, exchange, and exchange symbol.

Indonesia's main stock market index, the JCI, rose to 8617 points on December 2, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 4.13% and is up 19.75% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on December of 2025.

This dataset is about stocks. It has 4 rows and is filtered where the company is Pan Pacific International. It features 8 columns including stock name, company, exchange, and exchange symbol.

Market Research Intellect presents the Stock Photos Websites Market Report-estimated at USD 5.2 billion in 2024 and predicted to grow to USD 9.1 billion by 2033, with a CAGR of 7.5% over the forecast period. Gain clarity on regional performance, future innovations, and major players worldwide.

A complete list of live websites using the Stock Market Ticker technology, compiled through global website indexing conducted by WebTechSurvey.

Iran Market Capitalization: Tehran Stock Exchange (TSE) data was reported at 1,743.023 USD bn in Sep 2023. This records a decrease from the previous number of 1,761.129 USD bn for Aug 2023. Iran Market Capitalization: Tehran Stock Exchange (TSE) data is updated monthly, averaging 105.978 USD bn from Dec 2005 (Median) to Sep 2023, with 199 observations. The data reached an all-time high of 1,991.152 USD bn in May 2023 and a record low of 33.814 USD bn in Jun 2007. Iran Market Capitalization: Tehran Stock Exchange (TSE) data remains active status in CEIC and is reported by Tehran Stock Exchange. The data is categorized under Global Database’s Iran – Table IR.Z002: Tehran Stock Exchange: Market Capitalization. [COVID-19-IMPACT]

The average for 2021 based on 87 countries was 20.14 percent. The highest value was in Venezuela: 60.53 percent and the lowest value was in Botswana: 2.75 percent. The indicator is available from 1984 to 2021. Below is a chart for all countries where data are available.

This dataset is about stocks. It has 2 rows and is filtered where the company is RPM International. It features 8 columns including stock name, company, exchange, and exchange symbol.

Iran's main stock market index, the TEDPIX, closed flat at 2900000 points on October 11, 2025. Over the past month, the index has climbed 7.41% and is up 39.15% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Iran. Iran Tehran Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

Key Stock Trading StatisticsTop Stock Trading AppsFinance App Market LandscapeStock Trading App RevenueStock Trading Revenue by AppStock Trading App UsersStock Trading Users by AppStock Trading App...

The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.

Daily Stock Index Options Open Interest Changes (Futures Exchange)

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.

Dataset: Leading Companies in Market Capitalization https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14839888%2Fe7df5ac47c282cc6288f211b698233c0%2FAdd%20a%20heading%20(5).png?generation=1716157027189074&alt=media" alt="">

Introduction: This dataset provides comprehensive information on the leading companies globally by market capitalization. It includes various key metrics and identifiers for each company, facilitating detailed analysis and comparisons. This dataset is gathered from companies market capital website. below i have given the details of the dataset and columns after that i have given some information about the use cases of this dataset.

About Dataset Columns: Below is a detailed description of each column in the dataset:

1-Rank: -Description: This column shows the ranking number of the company based on its market capitalization. The rankings are in ascending order, with rank 1 representing the company with the highest market capitalization. -Data Type: Integer -Example Values: 1, 2, 3, ...

2-Company: -Description: This column displays the full name of the company. It helps identify the company being analyzed. -Data Type: String -Example Values: "Apple Inc.", "Microsoft Corporation", "Amazon.com Inc."

3-Stock Symbol: -Description: This column contains the stock symbols (ticker symbols) of the companies, which are used for trading on stock exchanges. This is essential for identifying the company's stock in financial markets. -Data Type: String -Example Values: "AAPL", "MSFT", "AMZN"

4-Market Cap (USD): -Description: This column provides the market capitalization of the company in trillion US dollars. Market capitalization is calculated as the share price times the number of outstanding shares, representing the company's total market value. -Data Type: Float (to handle large values with precision) -Example Values: 2.43, 1.87, 1.76

5-Share Price: -Description: This column contains the current share price of the respective company in US dollars. It represents the price at which a single share of the company is traded on the stock market. -Data Type: Float -Example Values: 145.09, 250.35, 3400.50

6-Company Origin: -Description: This column provides the country name where the company is headquartered. It helps in understanding the geographical distribution of the leading companies. -Data Type: String -Example Values: "United States", "China", "Germany

Use Cases of the Leading Companies in Market Capitalization Dataset

This dataset is a treasure of information for anyone interested in the financial world. Here’s how different people and professionals might use it:

1-Investors and Traders: - Stock Picking: Investors can use the dataset to identify top-performing companies by market cap. This helps them make informed decisions about where to put their money. - Comparative Analysis: Traders can compare the share prices and market caps to find potential investment opportunities and trends.

2-Financial Analysts: -Performance Tracking: Analysts can track the performance of leading companies over time, helping them to forecast future trends and provide investment recommendations. -Sector Analysis: By examining the companies and their origins, analysts can identify which sectors and countries are leading the market.

3-Business Students and Educators: -Case Studies: Students can use the dataset for case studies and projects, analyzing the financial health and market position of global giants. -Learning Tool: Educators can use the data to teach about market capitalization, stock markets, and financial metrics.

4-Economists and Researchers: -Economic Indicators: The dataset can help economists understand the economic impact of leading companies on their respective countries and the global market. -Market Dynamics: Researchers can study the market dynamics and how large companies influence economic trends.

5-Journalists and Media: -Reporting: Journalists can use the data to report on the financial health of major companies, industry trends, and economic forecasts. -Insights: Media can provide insights into the rise and fall of company rankings, helping the public stay informed about market changes.

6-Corporate Strategists: -Benchmarking: Companies can benchmark their performance against the leaders in their industry, identifying areas for improvement. -Strategic Planning: Strategists can use the data to develop long-term plans, aiming to enhance their market position.

7-General Public: -Personal Finance: Individuals interested in personal finance can use the dataset to learn more about the companies behind the brands they use daily. -Educational: For anyone curious about how global markets work, this dataset provides a straightforward way to see which companies are at the top and why.

Snapshot img

Stock Images Market Size 2025-2029

The stock images market size is valued to increase USD 1.28 billion, at a CAGR of 5.3% from 2024 to 2029. Increased popularity of stock images for digital and social media marketing will drive the stock images market.

Major Market Trends & Insights

North America dominated the market and accounted for a 43% growth during the forecast period.
By Application - Editorial segment was valued at USD 1.98 billion in 2023
By Product - Still images segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 48.83 million
Market Future Opportunities: USD 1280.70 million
CAGR : 5.3%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and ever-evolving industry, driven by the increasing popularity of visual content in digital and social media marketing. According to recent reports, the market is projected to reach a significant market share in the upcoming years, fueled by rising investments in related business portfolios. However, this growth comes with challenges, such as declining profit margins due to the saturation of the market and increasing competition. Core technologies and applications, such as artificial intelligence and virtual reality, are revolutionizing the way businesses source and use stock images. For instance, AI-powered image recognition technology is enabling more accurate and efficient content discovery, while virtual reality is providing immersive and interactive experiences for customers.
Regulations, such as data privacy laws and intellectual property rights, also play a crucial role in shaping the market. For example, the European Union's General Data Protection Regulation (GDPR) has led to increased scrutiny of image usage and licensing practices. Despite these challenges, opportunities abound for market participants. For instance, there is a growing demand for high-quality, authentic, and culturally diverse images that reflect the increasing diversity of global audiences. By staying abreast of these trends and leveraging the latest technologies, businesses can differentiate themselves and thrive in this competitive landscape.

What will be the Size of the Stock Images Market during the forecast period?

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How is the Stock Images Market Segmented and what are the key trends of market segmentation?

The stock images industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Editorial
  Commercial


Product

  Still images
  Footage


Type

  Free
  Paid


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The editorial segment is estimated to witness significant growth during the forecast period.

The market experiences significant growth in the editorial segment, with publishing houses being the primary consumers. These images are essential for enhancing the impact of stories in magazines, newspapers, books, websites, blogs, and non-commercial presentations. The demand for editorial stock images arises from their ability to increase content retention rates. In magazines and newspapers, images complement articles and stories, making them more engaging and memorable for readers. In textual content, images provide context and help convey ideas more effectively. In video documentary and news bulletin broadcasting, images bring stories to life, adding depth and authenticity. In website descriptions and personal blogs, images capture readers' attention and help convey messages more clearly.

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The Editorial segment was valued at USD 1.98 billion in 2019 and showed a gradual increase during the forecast period.

In non-commercial presentations, images serve as visual aids, making complex concepts easier to understand. The editorial segment encompasses various stock image categories, such as celebrity images, images depicting different scenarios, and descriptive images. The market's continuous evolution is driven by advancements in technology and changing consumer preferences. For instance, remote sensing technology and digital farming tools enable farmers to monitor crop health parameters, optimize photosynthetic efficiency, and enhance soil nutrient cycling. Humic acid fertilizers, yield enhancement techniques, fruit development factors, and precision agriculture contribute to improved crop quality and productivity. Moreover, agricultural sensors, potassium uptake efficiency, soil health indicators, root development stimulants, nitrogen fixati

The average monthly trading amount of individual stock futures products (distinguishing between stocks and ETFs) (futures exchange)

This dataset is about stocks. It has 2 rows and is filtered where the company is Albany International. It features 8 columns including stock name, company, exchange, and exchange symbol.