CoinAPI's crypto OHLCV and trade data give you the complete picture of market activity across more than 350 exchanges worldwide. Our candlestick data covers everything from 1-second intervals for scalping to monthly timeframes for trend analysis, ensuring you have the right level of detail for your trading approach.

Each candlestick provides the essential price information traders rely on - open, high, low, and close prices - along with corresponding volume data that shows the market strength behind each move. This combination of price action and trading volume creates the foundation for effective technical analysis and trading decisions.

Getting this data is straightforward - use our WebSocket streams for real-time market monitoring when every second counts, or access historical candlesticks through our REST API when you're conducting deeper market research or backtesting strategies. We maintain comprehensive historical records, giving you the ability to analyze patterns across different market cycles.

Why work with us?

Market Coverage & Data Types: - Full Cryptocurrency Data - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

Technical Excellence: - 99% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

Whether you're building algorithmic trading systems, conducting research, or creating visualization tools, our real-time and historical candlesticks from exchanges worldwide provide the reliable market data you need

Historical Dividends API gives you right away data on dividend payments and dividend calendar. Dividend-paying stocks are often interpreted as a signal for a company's profitability. Successfully performing companies are said to pay dividends to shareholders. The dividend amount of the payment is split into smaller payments made throughout the fiscal year. This happen annually, semi-annually or quarterly. Our historical dividends data is what you need to complete the financial analysis you do on the companies of your choice. It is a valuable tool for making investing decisions and streamlining financial projects. In the upcoming months, ex-dividend date, declaration date and payment date will be added to the data.

If you are interested to learn more, check out the company website: https://tradefeeds.com/historical-dividends-api/

The longest Bitcoin price series on Kaggle. Collected from various sources - so you don't have to.

Open, High, Low, Close prices (in US Dollars) and trading Volume data.

Is bitcoin a scam or the new gold? Is it a good asset for investments? Can you mine the seasonality patterns? Can you predict the price of bitcoin next year? Would it help to augment this series with exogeneous data, for instance, summary of SEC conferences or Elon Musk's tweets posts? Can the bitcoin price be handy to predict other events, for instance, the sentiment in the news? Let's find out!

Sources 7.2010-09.2014: Investing.com 09.2014-03.2014: YahooFinance API (with yfinance)

Update

Unfortunately, the API this dataset used to pull the stock data isn't free anymore. Instead of having this auto-updating, I dropped the last version of the data files in here, so at least the historic data is still usable.

Content

This dataset provides free end of day data for all stocks currently in the Dow Jones Industrial Average. For each of the 30 components of the index, there is one CSV file named by the stock's symbol (e.g. AAPL for Apple). Each file provides historically adjusted market-wide data (daily, max. 5 years back). See here for description of the columns: https://iextrading.com/developer/docs/#chart

Since this dataset uses remote URLs as files, it is automatically updated daily by the Kaggle platform and automatically represents the latest data.

Acknowledgements

List of stocks and symbols as per https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

Thanks to https://iextrading.com for providing this data for free!

Terms of Use

Data provided for free by IEX. View IEX’s Terms of Use.

Our lobbying data is collected and aggregated from the U.S. Senate Office of Public Records from 1999-present and is updated on a regular basis. We utilize advanced data science techniques to ensure accurate data points are collected and ingested, match similar entities across time, and tickerize publicly traded companies that lobby.

Our comprehensive and advanced lobbying data API is completed with all the information you need, with more than 1.6 million lobbying contracts ready-for-analysis. We include detailed information on all aspects of federal lobbying, including the following fascinating attributes, among much more:

1. Clients: The publicly traded company, privately owned company, interest group, NGO, or state or local government that employs or retains a lobbyist or lobbying firm.

2. Registrants (Lobbying Firms): Either the name of the lobbying firm hired by the client, or the name of the client if the client employs in-house lobbyists.

3. Lobbyists: The names and past government work experience of the individual lobbyists working on a lobbying contract.

4. General Issues: The general issues for which clients lobby on (ex: ENV - Environment, TOB - Tobacco, FAM - Family Issues/Abortion).

5. Specific Issues: A long text description of the exact bills and specific issues for which clients lobby on.

6. Bills Lobbied On: A parsed version of Specific Issues that catches specific HR, PL, and ACTS lobbied on (ex: H.R. 2347, S. 1117, Tax Cuts and Jobs Act).

7. Agencies Lobbied: The names of one or more of 250+ government agencies lobbied on in the contract (ex: White House, FDA, DOD).

8. Foreign Entities: The names and origin countries of entities affiliated with the client (ex: BNP Paribas: France).

Using our intelligently designed & curated data quality and easy-to-understand API documentation, researchers can easily query for data by company, organization, lobbying firm, or ticker symbol. Data is returned in standard JSON format and is ready-for-analysis.

Gain access to our highly unique and actionable U.S. lobbying data API. Further information on LobbyingData.com and our alternative datasets and database can be found on our website, or by contacting us through Datarade.

VIX Daily Price Data

Overview

Contains historical data of the VIX Volatility Index from 2000 - 2025. The data is obtained from the yfinance api created by yahoo finance and contains the daily price data for the VIX.

The dataset contains the daily Open, Close, High, and Low of the VIX.

Columns Open: Starting price level of VIX for the day Close: Final price level of VIX for the day High: Highest price level of VIX for the day Low: Lowest price level of VIX for the day

The VIX is an index that measures near term volatility expectations for the S&P 500 gathered from SPX options data. VIX was created and maintained by CBOE.

Uses

This data can be used to train models on predicting the market's volatility forecasts. The VIX can also be compared to the realized historical volatility over a period of time.

Income-Before-Tax Time Series for Angel One Limited. Angel One Limited provides broking and advisory services, margin funding, and financial products to its clients in India and internationally. The company provides equity, commodities, derivatives, and currency derivative products. It also manages client's securities in the electronic form; facilitates clients in applying for initial public offerings; and provides funds to investors for trading. In addition, the company offers insurance, mutual funds, sovereign gold bonds, and credit products; and investment advice and market research services, as well as educates clients on financial markets and investing strategies. Further, it provides portfolio management, trading account, initial public offering, and DEMAT account services. The company operates through Angel One Super App, Angel One Trade, and Smart API investing and trading platforms. It serves resident and non-resident individuals, salaried professionals, high net worth individuals, Hindu undivided Families, corporates and trusts, partnership firms and LLP, and co-operative societies. The company was formerly known as Angel Broking Limited and changed its name to Angel One Limited in September 2021. Angel One Limited was incorporated in 1996 and is based in Mumbai, India.

Coal fell to 114.90 USD/T on August 1, 2025, down 0.22% from the previous day. Over the past month, Coal's price has risen 2.77%, but it is still 19.40% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on August of 2025.

Snapshot img

API Management Market Size 2025-2029

The API management market size is forecast to increase by USD 3.75 billion at a CAGR of 12.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of digital payment solutions and the proliferation of digital wallets. However, challenges persist, including poor internet connectivity in developing countries, which can hinder the adoption and effective implementation of Api Management solutions. Companies must navigate these challenges to capitalize on the market's potential. Strategies such as investing in offline solutions and partnering with local providers can help overcome connectivity issues and expand market reach.
Additionally, focusing on security and scalability will be crucial, as businesses demand reliable and secure Api Management solutions to support their digital initiatives. These trends reflect the digital transformation underway in various industries, as businesses seek to enhance customer experience and streamline operations. Overall, the market presents opportunities for innovation and growth, with companies that address the unique challenges of this dynamic landscape poised to succeed.

What will be the Size of the API Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The market is experiencing significant innovation, with a focus on enhancing API Return on Investment (ROI) through multi-cloud API adoption and API-driven development. API maturity is on the rise, driving the need for advanced API logging, performance benchmarking, and usage analytics. API interoperability and standardization are crucial to addressing integration challenges in complex API ecosystems. API observability and developer experience are becoming key differentiators, with the emergence of API documentation generators and debugging tools. API adoption rates continue to grow, fueled by the increasing use of composite and hybrid cloud APIs, serverless functions, and microservices orchestration.

The market is experiencing significant growth, driven by the increasing adoption of digital payment solutions and the proliferation of digital wallets. API platform comparisons and compliance are essential for businesses navigating the diverse landscape of API offerings. API monetization strategies, such as API-led connectivity and edge computing APIs, are gaining traction. API evolution is ongoing, with a shift towards API-first design and headless CMS integration. API usage patterns are evolving, requiring new testing frameworks and security measures to address API performance optimization and vulnerabilities. Ultimately, API governance policies and discovery tools are essential for managing the complexities of API consumption and ensuring compliance in the dynamic API market.

How is this API Management Industry segmented?

The api management 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.

Deployment

  Cloud
  On-premises


Solution

  API gateways
  API lifecycle management
  API security
  API analytics and monitoring
  API developer portals


End-user

  Large enterprises
  SMEs


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period. The market is experiencing significant growth, driven by the digital transformation sweeping across industries. Cloud-based API solutions dominate the market, enabling seamless communication and data transfer between applications and the cloud. This segment's dominance is attributed to the proliferation of IoT and Big Data, which enhance application interfaces for superior customer experiences. Additionally, the increasing awareness of security vulnerabilities and the demand for automation have fueled the market's expansion in sectors like BFSI, e-commerce, healthcare and life sciences, education, and retail. Cloud APIs facilitate the integration of various cloud and on-premises applications, simplifying API provisioning, activation, setup, monitoring, and troubleshooting for developers and administrators.

Agile development methodologies, such as DevOps and CI/CD, have further accelerated the adoption of cloud APIs. APIs have become essential components of modern application architectures, including microservices, event-driven, and real-time systems. GraphQL APIs and service meshes have emer

Introduction

This is a collection of all 1 minute candlesticks of all cryptocurrency pairs on Binance.com. All 80 of them are included. Both retrieval and uploading the data is fully automated—see this GitHub repo.

Content

For every trading pair, the following fields from Binance's official API endpoint for historical candlestick data are saved into a Parquet file:

 #  Column            Dtype     
--- ------            -----     
 0  open_time           datetime64[ns]
 1  open             float32    
 2  high             float32    
 3  low              float32    
 4  close             float32    
 5  volume            float32    
 6  quote_asset_volume      float32    
 7  number_of_trades       uint16    
 8  taker_buy_base_asset_volume  float32    
 9  taker_buy_quote_asset_volume float32    
dtypes: datetime64[ns](1), float32(8), uint16(1)

The dataframe is indexed by open_time and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest running pairs.

Here are two simple plots based on a single file; one of the opening price with an added indicator (MA50) and one of the volume and number of trades:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

Inspiration

One obvious use-case for this data could be technical analysis by adding indicators such as moving averages, MACD, RSI, etc. Other approaches could include backtesting trading algorithms or computing arbitrage potential with other exchanges.

License

This data is being collected automatically from crypto exchange Binance.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

Other-Operating-Expenses Time Series for Angel One Limited. Angel One Limited provides broking and advisory services, margin funding, and financial products to its clients in India and internationally. The company provides equity, commodities, derivatives, and currency derivative products. It also manages client's securities in the electronic form; facilitates clients in applying for initial public offerings; and provides funds to investors for trading. In addition, the company offers insurance, mutual funds, sovereign gold bonds, and credit products; and investment advice and market research services, as well as educates clients on financial markets and investing strategies. Further, it provides portfolio management, trading account, initial public offering, and DEMAT account services. The company operates through Angel One Super App, Angel One Trade, and Smart API investing and trading platforms. It serves resident and non-resident individuals, salaried professionals, high net worth individuals, Hindu undivided Families, corporates and trusts, partnership firms and LLP, and co-operative societies. The company was formerly known as Angel Broking Limited and changed its name to Angel One Limited in September 2021. Angel One Limited was incorporated in 1996 and is based in Mumbai, India.

Snapshot img

Investor ESG Software Market Size 2025-2029

The investor ESG software market size is forecast to increase by USD 976 million, at a CAGR of 15.7% between 2024 and 2029.

The market exhibits steady growth, driven by the increasing volumes of corporate data. This data influx necessitates advanced software solutions to effectively manage Environmental, Social, and Governance (ESG) information. An emerging trend in this market is the integration of analytics capabilities into investor ESG software. While this offers significant potential for enhanced data insights and improved decision-making, it also necessitates high initial capital investments. A key challenge in the market is ensuring data accuracy and reliability, as ESG data can be complex and difficult to obtain and verify.
Additionally, the integration of various data sources and maintaining data security are significant obstacles that companies must address to effectively leverage investor ESG software. Companies seeking to capitalize on market opportunities and navigate challenges effectively should focus on data accuracy, invest in advanced analytics capabilities, and prioritize data security measures.

What will be the Size of the Investor ESG Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The Environmental, Social, and Governance (ESG) software market continues to evolve, with dynamic market activities unfolding across various sectors. ESG performance indicators, carbon footprint analysis, and social audits are integrated into software solutions, enabling seamless scenario planning and social impact measurement. Reputational risk, long-term value creation, and environmental risk assessment are assessed through data integration and analytics. Sustainable business practices and stakeholder engagement are prioritized, with ESG data management and materiality assessment ensuring transparency and ethical conduct. Risk mitigation strategies, including risk scoring and governance audits, are employed to minimize potential threats. Cloud computing, regulatory compliance, and API integration facilitate data security, privacy, and reporting automation.

Impact investing, due diligence, and investment decisions are informed by ESG data and analytics. Machine learning and artificial intelligence (AI) are utilized for greenwashing detection and performance measurement. Software-as-a-Service (SaaS) offerings enable supply chain traceability, risk management, and reporting frameworks. User experience (UX) and user interface (UI) designs prioritize accessibility and ease of use. Legal compliance and workflow automation streamline operations and enhance operational efficiency. ESG integration is a continuous process, with ongoing market activities shaping the landscape. ESG software solutions adapt to evolving stakeholder expectations and regulatory requirements, ensuring sustainable business practices and stakeholder engagement.

How is this Investor ESG Software Industry segmented?

The investor esg software 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.

Component

  Software
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Component Insights

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

The investor Environmental, Social, and Governance (ESG) software market is experiencing significant growth in 2024, driven by the software industry's innovative solutions. These software offerings facilitate the collection, analysis, and reporting of ESG performance indicators, such as carbon footprint analysis, social audits, and financial performance. By integrating ESG data with financial data, investors can make more informed decisions that align with ethical and environmental standards. ESG software solutions also provide risk mitigation strategies, due diligence, and regulatory compliance features, addressing concerns related to reputational risk, long-term value creation, and environmental risk assessment. Furthermore, software-as-a-service (SaaS) platforms enable real-time data access, data security, and privacy, enhancing the user experience (UX) for investors.

Impact investing, governance risk management, and supply chain traceability are essential aspects of ESG investing, and software solutions offer advanced features for these areas. Predictive analytics, scenario planning, social impact measure

Snapshot img

Core Banking Software Market Size 2025-2029

The core banking software market size is forecast to increase by USD 56.39 billion, at a CAGR of 30.8% between 2024 and 2029.

The market is witnessing significant growth, driven by the adoption of cloud-based solutions for scalability, cost-effectiveness, and enhanced flexibility. These solutions enable banks to streamline their operations, reduce IT infrastructure costs, and offer personalized services to customers. However, the implementation of cloud-based systems presents challenges, including data security concerns and the need for seamless integration with legacy systems. Another key trend in the market is the modernization of legacy systems to meet the demands of digital banking. Banks are investing in upgrading their core banking platforms to support real-time transactions, omnichannel banking, and advanced analytics. This modernization process can be complex and costly, requiring significant resources and expertise. Despite these challenges, the benefits of upgrading legacy systems, such as improved customer experience and operational efficiency, make it a necessary investment for banks seeking to remain competitive in the digital age.

What will be the Size of the Core Banking Software Market during the forecast period?

Request Free SampleThe market continues to evolve, with various sectors integrating advanced technologies to enhance their operations. Online banking, investment portfolio management, loan management, real-time analytics, and core banking systems are no longer standalone entities but seamlessly integrated components. Financial analysis and business intelligence (BI) provide valuable insights, while digital banking and blockchain technology ensure secure and efficient transactions. User interface (UI) and artificial intelligence (AI) optimize customer experience, and open banking facilitates collaboration between financial institutions. Performance optimization, account opening, and predictive analytics streamline processes, and payment processing is now faster and more secure with API integration and cloud computing. Commercial banking benefits from agile development and risk management, ensuring regulatory compliance and data quality management. Wealth management and investment banking leverage data analytics for informed decisions, while loan origination and fraud detection utilize machine learning (ML) and data encryption for improved accuracy and security. Branch banking and retail banking adapt to the digital age, offering mobile banking and financial reporting, customer segmentation, and account management services. Infrastructure management and system integration ensure seamless operations, enabling financial services to meet the evolving needs of their clients.

How is this Core Banking Software Industry segmented?

The core banking software 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. DeploymentOn-premisesCloudEnd-userBanksFinancial institutionsGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.The global Core Banking Software (CBS) market continues to evolve, with on-premise deployment remaining a preferred choice for financial institutions. Despite the increasing adoption of cloud-based solutions, regulatory requirements such as GDPR and PCI-DSS necessitate on-premise installations for many organizations. Large financial institutions with complex infrastructure benefit from the enhanced control, security, and customization options provided by on-premise deployment. Data protection and compliance concerns are significant drivers for this choice. The CBS market is characterized by the integration of various functionalities, including deposit management, transaction processing, customer onboarding, wealth management, commercial banking, risk management, data quality management, user experience, loan origination, agile development, fraud detection, mobile banking, investment banking, data analytics, system integration, account management, infrastructure management, financial services, regulatory compliance, banking software, API integration, cloud computing, data security, online banking, investment portfolio management, loan management, real-time analytics, core banking system, financial analysis, business intelligence, digital banking, blockchain technology, user interface, artificial intelligence, open banking, performance optimization, account opening, predictive analytics, payment processing, machine learning, branch banking, retail banking, financial reporting, and customer segmentation. The mar

Snapshot img

India Active Pharmaceutical Ingredient (API) Market Size 2025-2029

The India API market size is forecast to increase by USD 11.18 billion, at a CAGR of 7.4% between 2024 and 2029.

The market is experiencing significant growth, driven by an increasing number of type II drug master files (DMF) submitted to regulatory authorities. This trend reflects the paradigm shift towards contract manufacturing organizations (CMOs) and the outsourcing of API production to countries like India, where cost-effective manufacturing solutions are available. However, this shift is met with challenges, as the regulatory environment in India continues to be stringent. The Indian Pharmacopoeia (IP) and the United States Pharmacopoeia (USP) set high standards for API manufacturing, requiring adherence to rigorous quality control measures. These regulations necessitate substantial investments in infrastructure and technology, posing challenges for smaller players in the market.
Despite these obstacles, the potential for growth is substantial, as the demand for affordable APIs continues to rise, particularly in emerging markets. Companies seeking to capitalize on this opportunity must invest in state-of-the-art manufacturing facilities and adhere to stringent regulatory requirements to remain competitive. By doing so, they can effectively navigate the challenges and capitalize on the market's growth potential.

What will be the size of the India Active Pharmaceutical Ingredient (API) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The Indian API market is a significant segment of the global pharmaceutical industry, marked by robust API usage, manufacturing, and exports. API trends indicate a growing emphasis on quality and compliance, with stricter regulations and increased focus on security and stability. Pharmaceutical exports have surged, driven by tax incentives and investment opportunities, making India a preferred destination for API sourcing. Domestic API sales are buoyed by a large and growing pharmaceutical workforce, advanced infrastructure, and a streamlined supply chain. API licensing, innovation, and research are key drivers of growth, with companies investing in technology and development to meet evolving market demands.
API pricing remains competitive, with manufacturers adopting innovative synthesis methods to reduce costs and maintain profitability. The API industry continues to face challenges, including regulatory hurdles, supply chain disruptions, and increasing competition. Despite these challenges, the future looks bright for the Indian API market, with ample opportunities for growth and expansion.

How is this market segmented?

The market 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.

Manufacturing Type

  Captive APIs
  Contract APIs


Type

  Innovative APIs
  Generic APIs


Product Type

  Prescription
  Over-the-counter (OTC)


Application

  Cardiovascular diseases (CVDs)
  Oncology
  Infectious diseases
  Diabetes
  Others


Geography

  APAC

    India

By Manufacturing Type Insights

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

The Indian Active Pharmaceutical Ingredient (API) market is witnessing significant growth due to the increasing demand for affordable healthcare services. The largest share of this market is held by captive APIs, which pharmaceutical companies produce in-house for their medication production. The focus on expanding healthcare accessibility has driven this segment's growth, as the demand for low-cost medicines increases. To cater to this demand, innovators are collaborating with Contract Manufacturing Organizations (CMOs) for outsourcing bulk actives or late-stage intermediates. Process automation and technology transfer play crucial roles in reducing production costs and improving efficiency in API manufacturing. Regulatory approvals and ethical considerations are essential factors influencing the market dynamics.

Pharmaceutical research and development, drug discovery, and clinical trials are ongoing processes that require a steady supply of high-quality APIs. The distribution network, intellectual property, and supply chain management are critical aspects of the API market. Pharmaceutical companies rely on a robust distribution network to ensure timely delivery of APIs to manufacturing sites. Intellectual property protection is essential to safeguard the investments made in research and development. The market for APIs also encompasses herbal medicines, pharmaceutical excipients, and pharmaceutical packaging. Pharmac

Snapshot img

Financial Planning Software Market Size 2024-2028

The financial planning software market size is forecast to increase by USD 8.67 billion at a CAGR of 23.55% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing complexity of financial management and the integration of artificial intelligence (AI) technology. As businesses continue to manage increasingly intricate financial operations, the demand for advanced planning tools is on the rise. Moreover, AI's ability to analyze vast amounts of data and provide actionable insights is revolutionizing financial planning, enabling more accurate forecasting and efficient resource allocation. However, market expansion is not without challenges. Regulatory hurdles impact adoption, as financial institutions grapple with compliance requirements and data privacy and security concerns. The sensitive nature of financial data necessitates robust security measures, and breaches can result in severe consequences.
Supply chain inconsistencies also temper growth potential, as businesses require reliable and continuous access to software solutions to remain competitive. Companies seeking to capitalize on market opportunities must navigate these challenges effectively, investing in robust security frameworks and maintaining strong supplier relationships to ensure uninterrupted access to cutting-edge financial planning software.

What will be the Size of the Financial Planning Software Market during the forecast period?

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In the dynamic market, asset allocation and retirement planning remain key focus areas for both personal and institutional investors. Financial technology has disrupted traditional financial services, giving rise to online financial planning, personal finance apps, and digital banking solutions. These tools offer real-time financial insights, goal setting capabilities, and API integrations for seamless data exchange. Financial strategies are increasingly data-driven, with financial analysis, forecasting, and modeling software enabling informed decision-making. Wealth management and portfolio management software cater to high net worth individuals, while financial consulting services provide expert advice on complex financial matters. Financial regulations continue to shape the market, with a growing emphasis on data security and open banking.
Digital financial services, including investment planning and tax planning software, offer accessible financial solutions for individuals and businesses. Financial education tools and coaching services promote financial literacy, empowering users to make informed financial decisions. Risk management software and budgeting apps help users manage their financial risks and expenses, while financial reporting and analytics tools provide valuable insights for effective financial planning and performance tracking. Overall, the market continues to evolve, offering innovative solutions to meet the diverse needs of businesses and individuals.

How is this Financial Planning Software Industry segmented?

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

Component

  Software
  Services


Application

  Financial advice and management
  Portfolio/accounting/trading management
  Wealth management
  Personal banking


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By Component Insights

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

The market is experiencing significant growth due to the increasing need for businesses and individuals to effectively manage and organize their financial data. This demand is driven by various entities, including financial education programs and financial literacy initiatives, wealth management firms, financial institutions, and personal finance applications. Risk management, financial coaching, and financial dashboards are also integral components of financial planning software, providing valuable insights into financial literacy, regulations, and cash flow analysis. Moreover, small businesses and individual investors are leveraging financial planning services, financial forecasting, and financial consulting to make informed decisions about their financial future.

Machine learning and data analytics are increasingly being integrated into financial planning software, enabling advanced portfolio management, asset allocation, and open banking solutions. Financial technology, financial independence, investment planning, financial security, and financial services are all areas where financial planning software plays a crucial role

Snapshot img

Identity Governance And Administration (IGA) Market Size 2025-2029

The identity governance and administration (IGA) market size is forecast to increase by USD 5.01 billion, at a CAGR of 14.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing organizational focus on regulatory compliance. With heightened scrutiny on data privacy and security, businesses are investing in IGA solutions to manage user identities and access privileges effectively. This is especially crucial in light of the increasing number of government regulations, such as GDPR and HIPAA, which impose stringent requirements on data protection and access control. However, the market's growth is not without challenges. One significant hurdle is the high expenditure associated with implementing and maintaining IGA solutions. These systems require substantial resources, including financial investments, IT infrastructure, and skilled personnel.
Additionally, the complexities of integrating IGA solutions with existing systems and processes can pose a challenge for organizations. Despite these obstacles, the potential benefits of IGA, including improved security, regulatory compliance, and operational efficiency, make it a worthwhile investment for businesses seeking to protect their digital assets and mitIGAte risks.

What will be the Size of the Identity Governance And Administration (IGA) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the ever-evolving landscape of Identity Governance and Administration (IGA), market dynamics continue to unfold, shaping the way businesses manage and secure their digital identities. IGA solutions now encompass a range of capabilities, including user self-service, compliance management, API security, high availability, identity federation, workflow automation, and more. Risk-based authentication, API management, vulnerability management, access management, session management, data masking, context-aware authentication, single sign-on (SSO), multi-factor authentication (MFA), incident response, policy management, and other essential features are integrated into comprehensive IGA offerings. These solutions adapt to the evolving threat landscape and regulatory requirements, ensuring businesses remain secure and compliant. Identity lifecycle management, access certification, account reconciliation, and user entitlement are crucial components of IGA, addressing the challenges of managing digital identities throughout their lifecycle.

Additionally, IGA solutions provide reporting and analytics, business continuity, audit trails, and performance monitoring to help organizations gain insights into their identity environments. Cloud security, hybrid security, security awareness training, data encryption, disaster recovery, threat detection, and compliance frameworks are other critical areas where IGA plays a pivotal role. Machine learning and artificial intelligence (AI) are increasingly being integrated into IGA solutions to enhance threat detection and improve overall security posture. In the ever-changing digital world, IGA solutions continue to evolve, providing businesses with the tools they need to manage and secure their digital identities effectively. From PCI DSS compliance to risk-based authentication, IGA solutions help organizations mitIGAte risks, ensure regulatory compliance, and protect their valuable digital assets.

How is this Identity Governance And Administration (IGA) Industry segmented?

The identity governance and administration (IGA) 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.

Deployment

  On-premises
  Cloud


End-user

  BFSI
  IT and telecom
  Energy and utilities
  Government and defense
  Others


Source

  Large enterprises
  SMEs


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

The market is witnessing significant growth due to the increasing emphasis on secure and efficient user access management. On-premise security solutions continue to be popular, as they offer high availability, data encryption, and complete control over IT infrastructure. These systems enable identity lifecycle management, access certification, account reconciliation, and analytics dashboards, ensuring compliance with various regulations such as PCI DSS. Moreover, the integration of artificial intelligence

The global API in Telecom market is experiencing steady growth, projected to reach $23.79 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 3.3% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of cloud-based communication platforms and the rising demand for seamless integration across various telecom services are primary contributors. Furthermore, the growing need for real-time data analytics and personalized customer experiences fuels the market's expansion. Major players like AT&T, Google, and Vodafone are investing heavily in developing sophisticated APIs to enhance their service offerings and cater to evolving customer preferences. The market's segmentation likely encompasses various API types (e.g., SMS, voice, location-based services), each contributing to overall growth. However, potential restraints could include data security concerns and the need for robust regulatory frameworks to ensure interoperability and data privacy. The historical period (2019-2024) likely showcased a similar growth trajectory, setting the stage for the projected expansion in the forecast period (2025-2033). The competitive landscape is characterized by a mix of established telecom giants and innovative technology providers. Strategic partnerships and acquisitions are common strategies employed to expand market reach and enhance product offerings. Regional variations in market growth are expected, with North America and Europe likely leading the way due to higher technology adoption rates and robust digital infrastructure. However, emerging economies in Asia and Latin America present significant growth potential as digital transformation accelerates in these regions. Future growth hinges on the ongoing development of 5G and other advanced technologies, fostering the development of more advanced and integrated communication services, thereby driving further demand for sophisticated telecom APIs.

Context

I have generated this set of auxilary tables to complement the dataset of Kickstarter projects with the focus on videogames.

Content

Currently the set contains three tables:

SteamSpy table contains aggregate information on released games tracked by SteamSpy

KSreleased table links the Steam appid's with Kickstarter project IDs for those KS games, that after a successful campaign were finished and released on Steam

Currencies table shows historical currency exchange rates to USD($) for each week since the earliest campaign deadline among those in KSreleased

Acknowledgements

SteamSpy table was created using the site's API and I would like to take this opportunity to praise the site's creator Sergey Galyonkin

KSreleased table was generated by crawling Kickstarter "Play now" pages

Currencies table was generated using Fixer.io API

If you would like to know the details/see the code that I wrote to generate the data, I uploaded it as the "DEMO: generate data" kernel. It won't work online (otherwise I wouldn't have the need to create the dataset in the first place), but you can download the notebook and run it locally or just check my poor coding style :)

Inspiration

I intend to finalize my analysis on KS games that were released on Steam and publish it here, but of course I would like you to find more uses for this data beyond what I would have thought of. And again, I don't think this dataset is useful on its own, so please don't forget to connect to the KS projects dataset by Kemical