The Near Real-time Data Access (NeRDA) Portal is making near real-time data available to our stakeholders and interested parties. We're helping the transition to a smart, flexible system that connects large-scale energy generation right down to the solar panels and electric vehicles installed in homes, businesses and communities right across the country. In line with our Open Networks approach, our Near Real-time Data Access (NeRDA) portal is live and making available power flow information from our EHV, HV, and LV networks, taking in data from a number of sources, including SCADA PowerOn, our installed low voltage monitoring equipment, load model forecasting tool, connectivity model, and our Long-Term Development Statement (LTDS). Making near real-time data accessible from DNOs is facilitating an economic and efficient development and operation in the transition to a low carbon economy. NeRDA is a key enabler for the delivery of Net Zero - by opening network data, it is creating opportunities for the flexible markets, helping to identify the best locations to invest flexible resources, and connect faster. You can access this information via our informative near real-time Dashboard and download portions of data or connect to our API and receive an ongoing stream of near real-time data.

We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

• Latest EOD OPRA options prices

Exchange Fees & Requirements:

This package requires no paperwork or exchange fees.

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• File downloads
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

• 15-minute delayed OPRA options prices, Greeks & IV
• 15-minute delayed OPRA unusual options activity
• Latest EOD OPRA options prices
• 15-minute delayed equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

Silver Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• File downloads
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time OPRA options prices, Greeks & IV
• Real-time OPRA unusual options activity
• Latest EOD OPRA options prices
• Real-time equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

Gold Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• WebSocket access (additional fee)
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives
• Access to engineering team

Platinum

Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

Real-Time Data Integration Market Outlook

According to our latest research, the global real-time data integration market size reached USD 13.4 billion in 2024. The market is experiencing robust growth, with a compound annual growth rate (CAGR) of 12.7% projected from 2025 to 2033. By the end of 2033, the market is expected to reach USD 39.6 billion. This remarkable expansion is primarily fueled by the escalating demand for instantaneous analytics, the proliferation of IoT devices, and the intensifying need for data-driven decision-making across industries worldwide.

One of the key growth drivers for the real-time data integration market is the exponential increase in data generation across organizations of all sizes and sectors. Businesses are increasingly recognizing the importance of leveraging real-time data to gain actionable insights, improve operational efficiency, and enhance customer experiences. The shift towards digital transformation, coupled with the integration of advanced analytics and artificial intelligence, is compelling enterprises to adopt real-time data integration solutions. These solutions enable seamless data flow between disparate systems, ensuring that decision-makers have access to the most current and accurate information, thereby supporting agile business strategies and improved competitive positioning.

Another significant factor fueling the market’s growth is the rapid adoption of cloud computing and hybrid IT environments. As organizations migrate their workloads to the cloud, the complexity of managing and integrating data from multiple sources has increased. Real-time data integration platforms are becoming indispensable in this context, as they facilitate the synchronization of on-premises and cloud-based data sources. This capability is especially critical for industries such as BFSI, healthcare, and retail, where real-time data access and processing are vital for compliance, customer engagement, and operational resilience. Moreover, the growing reliance on SaaS applications and the need for scalable, flexible integration solutions are further accelerating the adoption of real-time data integration technologies.

The proliferation of IoT devices and the increasing adoption of big data analytics are also pivotal in driving the real-time data integration market forward. With billions of connected devices generating vast volumes of structured and unstructured data, organizations are under pressure to harness this data in real time to derive meaningful insights. Real-time data integration solutions enable organizations to ingest, process, and analyze data streams from IoT devices, supporting use cases such as predictive maintenance, fraud detection, and personalized marketing. This trend is particularly pronounced in sectors such as manufacturing, logistics, and smart cities, where real-time data integration is essential for optimizing processes and ensuring operational continuity.

From a regional perspective, North America continues to dominate the real-time data integration market, accounting for the largest share in 2024. The region’s leadership is attributed to the presence of major technology vendors, high adoption of advanced digital solutions, and a strong focus on innovation. However, Asia Pacific is emerging as the fastest-growing market, driven by rapid digitalization, expanding IT infrastructure, and increasing investments in cloud and analytics technologies. Europe, Latin America, and the Middle East & Africa are also witnessing steady growth, supported by regulatory initiatives, industry modernization, and the rising importance of real-time data in business operations.

Component Analysis

The component segment of the real-time data integration market is bifurcated into software and services. Software solutions form the backbone of real-time data integration, providing core functionalities such as data ingestion, transformation, and synchronization across heterogeneous environments. The demand for robust and scalable integration software is surging, as organizations seek to bridge the gap between legacy systems and modern cloud applications. These software platforms typically offer features like low-latency processing, support for multiple data formats, and advanced security protocols to ensure seamless and secure data flow. As businesses increasingly prioritize real-time analytics and data-driven decision-making, the software sub-segment is expected to maint

Low‑Latency Market Data Distribution Market Outlook

According to our latest research, the global Low-Latency Market Data Distribution market size is valued at USD 8.3 billion in 2024 and is expected to reach USD 21.7 billion by 2033, growing at a robust CAGR of 11.3% during the forecast period. The primary growth driver for this market is the surging demand for real-time data transmission and analytics in financial services, particularly for algorithmic trading and high-frequency trading environments. As per our comprehensive analysis, the market is witnessing a paradigm shift toward ultra-fast data processing and distribution, underpinned by technological advancements and the growing complexity of global financial systems.

One of the pivotal growth factors propelling the Low-Latency Market Data Distribution market is the exponential rise in electronic trading across global financial markets. The financial sector, especially investment banks, hedge funds, and trading platforms, have become increasingly reliant on low-latency data feeds to gain a competitive edge. Algorithmic and high-frequency trading strategies demand the fastest possible access to market information, as even microsecond delays can translate into significant financial losses or missed opportunities. This has led to substantial investments in cutting-edge hardware, software, and network infrastructure designed to minimize latency. Furthermore, the proliferation of new financial instruments and the expansion of global trading venues have amplified the need for scalable and reliable low-latency solutions.

Technological innovation is another major catalyst for market expansion. The integration of advanced networking technologies such as Field-Programmable Gate Arrays (FPGAs), 5G, and edge computing has revolutionized the way market data is distributed. These technologies enable faster data transmission, reduce bottlenecks, and ensure seamless communication between disparate trading systems. Additionally, the adoption of cloud-based architectures and hybrid deployment models is facilitating greater flexibility and scalability for organizations. This enables them to manage fluctuating data volumes efficiently while maintaining ultra-low latency. Such advancements are not only transforming the financial sector but are also finding applications in other data-intensive industries such as telecommunications and government.

Regulatory compliance and market transparency are also fueling the adoption of low-latency data distribution solutions. Financial regulators across various regions have imposed stringent requirements for real-time reporting, surveillance, and risk management. Institutions are compelled to implement robust systems that can deliver accurate, real-time data to comply with these mandates. The need for proactive risk management and market surveillance has further underscored the importance of low-latency infrastructures, driving continuous innovation and investment in this domain. As a result, the market is witnessing increased collaboration between technology providers, financial institutions, and regulatory bodies to develop solutions that meet both performance and compliance requirements.

From a regional perspective, North America continues to dominate the Low-Latency Market Data Distribution market, accounting for the largest share in 2024. This leadership is primarily attributed to the presence of major financial hubs such as New York, Chicago, and Toronto, where high-frequency trading and real-time market analytics are critical. Europe follows closely, with key financial centers like London, Frankfurt, and Paris driving demand. The Asia Pacific region is emerging as a significant growth engine, propelled by rapid digitalization, expanding financial markets, and regulatory reforms in countries like China, Japan, and Singapore. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as financial modernization efforts gain momentum.

Component Analysis

The Component segment of the

The Real-time Candlestick OHLC API provides current candlestick data that covers all major stock exchanges including NYSE, NASDAQ, LSE, Euronext to NSE of India, TSE, and a few more. Users can choose from candlestick data with 1 min, 2 min, 5 min, 15 min, 30 min, 1 hour, 4 hour, 1 day, 1 week, 1 month and 1 year interval. By using the real-time candlestick OHLC data, they can visualize data on candlestick charts and build financial products.

Description

When approaching modeling problems in modern financial markets, there are many reasons to believe that the problems you are trying to solve are impossible. Even if you put aside the beliefs that the prices of financial instruments rationally reflect all available information, you’ll have to grapple with time series and distributions that have properties you don’t encounter in other sorts of modeling problems. Distributions can be famously fat-tailed, time series can be non-stationary, and data can generally fail to satisfy a lot of the underlying assumptions on which very successful statistical approaches rely. Layer on all of this the fact that the financial markets are ultimately a human endeavor involving a large number of individuals and institutions that are constantly changing with advances in technology and shifts in society, and responding to economic and geopolitical issues as they arise - and you can start to get a sense of the difficulties involved!

The data originates from Jane Street, offering a realistic representation of key tasks involved in successful trading within modern financial markets. Jane Street provides a dataset featuring anonymized and slightly modified market-related features and responders, reflecting the nature of their automated trading strategies. These adjustments maintain the core problem's integrity while protecting proprietary information and competitive interests. This approach creates a challenging, relevant task that mirrors the type of work Jane Street handles, emphasizing the importance of developing effective underlying models for trading success.

Citation

Maanit Desai, Yirun Zhang, Ryan Holbrook, Kait O'Neil, and Maggie Demkin. Jane Street Real-Time Market Data Forecasting. https://kaggle.com/competitions/jane-street-real-time-market-data-forecasting, 2024. Kaggle.

TL;DR

Our free COVID-19 Stats and New API lets you send a web-based query to Smartable AI and get back details about global and regional coronavirus data, including latest numbers, historic values, and geo-breakdowns. It is the same API that powers our popular COVID-19 stats pages. Developers can take the returned information and display it in their own tools, apps and visualizations. Different from other coronavirus data sources that produce breaking changes from time to time, the data from our API are more stable, **detailed **and close to real-time, as we leverage AI to gather information from many credible sources. With a few clicks in our API try-it experience, developers can get it running quickly and unleash their creativity.

Click here to get started

Our Mission

“We’re not just fighting an epidemic; we’re fighting an infodemic” – WHO Director-General Tedros Adhanom Ghebreyesus

In Smartable AI, our mission is to use AI to help you be smart in this infodemic world. Information is exploded, and mis-information has impacted the decisions of governments, businesses, and citizens around the world, as well as individuals’ lives. In 2018, The World Economic Forum identified it as one of the top 10 global risks. In a recent study, the economic impact has been estimated to be upwards of 80-100 Billion Dollars. Everything we do is focused on fighting misinformation, curating quality content, putting information in order and leveraging technology to bring clean, organized information through our APIs. Everyone wins when they can make sense of the world around them.

Our Free API and Daily Data Dump

The coronavirus stats and news API offers the latest and historic COVID-19 stats and news information per country or state. The stats are refreshed every hour using credible data sources, including the country/state’s official government websites, data available on wikipedia pages, latest news reports, Johns Hopkins University CSSE 2019-nCoV Dashboard, WHO Situation Reports, CDC Situation Updates, and DXY.cn.

The API takes the location ISO code as input (e.g. US, US-MA), and returns the latest numbers (confirmed, deaths, recovered), the delta from yesterday, the full history in that location, and geo-breakdown when applicable. We offer detailed API documentation, a try-it experience, and code examples in many different programming languages.

https://smartable.azureedge.net/media/2020/03/coronavirus-api-documentation.webp" alt="API Documentation">

We upload a daily dump of the data in the csv format here.

We want it to be a collaborative effort. If you have any additional requirements for the API or observe anything wrong with the data, we welcome you to report issues in our GitHub account. The team will jump in right away. All our team members are ex-Microsoft employees, so you can trust the quality of support, I guess 🙂

Our Example Apps powered by the API

We have developed two example apps by using the API.

• COVID-19 Live Stats+News
• COVID-19 Android app

The ProspectNow Data API delivers all the data and metadata you need for residential and commercial properties across the U.S.

It is designed to provide flexibility, as well as qualified, up-to-date data from a dependable source, so you can focus on providing great customer experiences.

Whether you want to enrich existing datasets, improve your own customer-facing application, or integrate our data into your tech stack, we have everything you need in our REST API, including:

Property Ownership Building Characteristics Valuation Mortgage Information Foreclosure/Preforeclosures Property Tax Info Market Data Properties Predicted to Sell Properties Predicted To Refinance +more

RadNet-Air is a national network of air monitoring stations that regularly collect air samples for near real time analysis of radioactivity. The data is transmitted to NAREL in Montgomery Alabama. The RadNet-Air network has been used to track environmental releases resulting from nuclear emergencies and to provide baseline data during routine conditions.

Snapshot img

Streaming Analytics Market Size 2024-2028

The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.

What will be the Size of the Streaming Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.

How is this Streaming Analytics Industry segmented and which is the largest segment?

The streaming analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentCloudOn premisesTypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaJapanEuropeUKMiddle East and AfricaSouth America

By Deployment Insights

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

Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.

Get a glance at the Streaming Analytics Industry report of share of various segments Request Free Sample

The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 34% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualization, and cloud computing, are easily adopted to enh

Real-Time Data Warehouse Market Outlook

According to our latest research, the global Real-Time Data Warehouse market size reached USD 6.4 billion in 2024. The market is experiencing robust growth, driven by the increasing adoption of advanced analytics and the necessity for instantaneous insights across industries. The market is forecasted to grow at a CAGR of 12.7% from 2025 to 2033, reaching a projected value of USD 18.8 billion by 2033. Key growth drivers include the proliferation of IoT devices, surging demand for real-time business intelligence, and the rapid digital transformation initiatives undertaken by organizations worldwide.

The primary growth factor for the Real-Time Data Warehouse market is the exponential increase in data generation from diverse sources such as IoT sensors, social media, enterprise applications, and connected devices. Organizations today are under immense pressure to process, analyze, and act on data as it is generated, enabling them to make informed decisions in real time. This has led to a significant shift from traditional batch-processing data warehouses to modern real-time architectures that can ingest, process, and deliver actionable insights instantaneously. As businesses strive to gain a competitive edge by leveraging data-driven strategies, the demand for real-time data warehousing solutions continues to surge across various industry verticals.

Another critical driver is the evolving landscape of customer expectations and regulatory requirements. In sectors such as BFSI, healthcare, and retail, consumers and regulators alike are demanding greater transparency, faster response times, and improved service delivery. Real-time data warehouses empower organizations to monitor transactions, detect anomalies, and respond to customer needs with unprecedented speed and accuracy. Additionally, the integration of advanced technologies such as artificial intelligence, machine learning, and predictive analytics with real-time data warehouses is unlocking new possibilities for personalized experiences, fraud detection, and operational efficiency. These advancements are fueling further investment in real-time data warehousing infrastructure and solutions.

The shift towards cloud-based solutions is another significant growth factor for the Real-Time Data Warehouse market. Cloud deployment offers unparalleled scalability, flexibility, and cost efficiency, making it an attractive option for organizations of all sizes. The cloud also facilitates seamless integration with other enterprise systems and enables real-time data sharing across geographically dispersed teams. As digital transformation accelerates, enterprises are increasingly migrating their data warehousing workloads to the cloud to leverage its benefits. This trend is further amplified by the rise of hybrid and multi-cloud strategies, which allow organizations to optimize their data management and analytics capabilities while maintaining compliance and security.

From a regional perspective, North America continues to dominate the Real-Time Data Warehouse market, owing to its advanced IT infrastructure, strong presence of leading technology vendors, and early adoption of cutting-edge analytics solutions. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid industrialization, increasing digitalization, and the proliferation of connected devices. Europe also holds a significant share, supported by stringent data regulations and a strong focus on innovation. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth as organizations in these regions recognize the value of real-time data-driven decision-making and invest in modern data warehousing solutions.

Component Analysis

The Component segment of the Real-Time Data Warehouse market is broadly categorized into software, hardware, and services. Each of these components plays a crucial role in enabling organizations to build, manage, and optimize their real-time data warehousing

The Streaming Real-Time Analytics market is experiencing robust growth, projected to reach $15.81 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 17.6% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing need for immediate insights from massive data streams across various sectors, including finance, healthcare, and manufacturing, is a primary catalyst. Organizations are increasingly adopting real-time analytics to improve operational efficiency, enhance decision-making, and gain a competitive edge in rapidly evolving markets. Furthermore, advancements in cloud computing, big data technologies, and artificial intelligence are enabling the development of more sophisticated and scalable streaming analytics solutions. The market is segmented by service type (fully-managed and self-managed) and application across numerous industries, reflecting the diverse use cases for this technology. The dominance of major technology players like Google, Microsoft, and AWS underscores the market's strategic importance and the high barrier to entry for new competitors. However, factors such as the complexity of implementation and the need for specialized skills can act as restraints to wider adoption. Nevertheless, the substantial and sustained growth forecast strongly suggests that the market will continue its upward trajectory throughout the forecast period. The geographical distribution of the market shows a significant presence across North America, Europe, and Asia-Pacific, with North America likely holding the largest market share due to early adoption and robust technological infrastructure. However, the rapid digital transformation in emerging economies within Asia-Pacific suggests considerable future growth potential in these regions. The competitive landscape is marked by both established technology giants and emerging specialized vendors, resulting in a dynamic environment with continuous innovation and diversification of solutions. The increasing adoption of hybrid cloud strategies further contributes to the growth, allowing organizations to leverage both on-premise and cloud-based solutions for their real-time analytics needs. The long-term outlook for the Streaming Real-Time Analytics market remains highly positive, driven by ongoing technological advancements and the growing demand for real-time data-driven decision making across various industries.

Streaming Real-Time Analytics Market Outlook

By 2023, the global streaming real-time analytics market size is estimated to reach $8.5 billion, with a projected growth to $22.7 billion by 2032, reflecting a robust CAGR of 11.5%. This market's growth is driven by several key factors including the rising demand for advanced analytics solutions, increasing adoption of IoT devices, and the need for quick decision-making processes in various sectors. The ability to analyze data in real-time offers enterprises a competitive edge by providing timely insights, thereby facilitating rapid and informed decision-making.

One of the primary growth factors for the streaming real-time analytics market is the exponential increase in data generation across various industries. With the proliferation of IoT devices, social media, and digital transactions, the volume of data generated in real-time has surged dramatically. Organizations are recognizing the value of harnessing this data to gain actionable insights instantly. This capability not only enhances operational efficiency but also drives innovation, customer satisfaction, and revenue growth. Moreover, the advancement in big data technologies and the integration of AI and machine learning algorithms have significantly enhanced the effectiveness of streaming analytics solutions.

Another significant driver is the increasing adoption of cloud-based solutions. Cloud deployment offers several advantages, including scalability, cost efficiency, and flexibility, which are critical for managing large volumes of real-time data. Many organizations, particularly small and medium-sized enterprises (SMEs), prefer cloud-based analytics for its lower upfront costs and reduced need for extensive IT infrastructure. Additionally, the rapid digital transformation across industries has further accelerated the adoption of cloud solutions, thereby boosting the demand for streaming real-time analytics.

Furthermore, the need for real-time decision-making is becoming crucial in today's fast-paced business environment. Industries such as finance, healthcare, retail, and telecommunications rely heavily on real-time analytics to monitor operations, detect anomalies, and respond to emerging trends swiftly. For instance, real-time analytics in the financial sector helps in fraud detection and risk management, while in healthcare, it aids in patient monitoring and personalized treatment plans. This growing reliance on real-time data for critical business operations is a major factor propelling the market's growth.

Event Stream Processing is becoming increasingly crucial in the realm of streaming real-time analytics. This technology enables the continuous processing and analysis of data streams, allowing organizations to respond to events as they occur. By leveraging event stream processing, businesses can detect patterns, trends, and anomalies in real-time, providing them with the ability to make proactive decisions. This capability is particularly valuable in industries such as finance and telecommunications, where timely insights can significantly impact operations and customer satisfaction. As the volume of data continues to grow, the demand for efficient event stream processing solutions is expected to rise, driving further innovation and adoption in the streaming analytics market.

Regionally, North America holds the largest market share due to the presence of major technology companies, high adoption rates of advanced technologies, and well-established IT infrastructure. Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by increasing digitalization, rising investments in IT infrastructure, and growing adoption of advanced analytics solutions by businesses in emerging economies like China and India.

Component Analysis

The streaming real-time analytics market is segmented by component into software, hardware, and services. The software segment is expected to hold the largest market share, driven by the increasing demand for advanced analytics tools and platforms that can process and analyze data in real-time. These software solutions offer various functionalities, including data integration, data visualization, and predictive analytics, which are essential for deriving actionable insights from streaming data. The continuous advancements in AI and machine learning are further enhancing the capabilities of these software solutions, making them more efficient and effective.

Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.

This dataset contains data collected during a study "Smarter open government data for Society 5.0: are your open data smart enough" (Sensors. 2021; 21(15):5204) conducted by Anastasija Nikiforova (University of Latvia). It being made public both to act as supplementary data for "Smarter open government data for Society 5.0: are your open data smart enough" paper and in order for other researchers to use these data in their own work.

The data in this dataset were collected in the result of the inspection of 60 countries and their OGD portals (total of 51 OGD portal in May 2021) to find out whether they meet the trends of Society 5.0 and Industry 4.0 obtained by conducting an analysis of relevant OGD portals.

Each portal has been studied starting with a search for a data set of interest, i.e. “real-time”, “sensor” and “covid-19”, follwing by asking a list of additional questions. These questions were formulated on the basis of combination of (1) crucial open (government) data-related aspects, including open data principles, success factors, recent studies on the topic, PSI Directive etc., (2) trends and features of Society 5.0 and Industry 4.0, (3) elements of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use Model (UTAUT).

The method used belongs to typical / daily tasks of open data portals sometimes called “usability test” – keywords related to a research question are used to filter data sets, i.e. “real-time”, “real time” and “real time”, “sensor”, covid”, “covid-19”, “corona”, “coronavirus”, “virus”. In most cases, “real-time”, “sensor” and “covid” keywords were sufficient. The examination of the respective aspects for less user-friendly portals was adapted to particular case based on the portal or data set specifics, by checking: 1. are the open data related to the topic under question ({sensor; real-time; Covid-19}) published, i.e. available? 2. are these data available in a machine-readable format? 3. are these data current, i.e. regularly updated? Where the criteria on the currency depends on the nature of data, i.e. Covid-19 data on the number of cases per day is expected to be updated daily, which won’t be sufficient for real-time data as the title supposes etc. 4. is API ensured for these data? having most importance for real-time and sensor data; 5. have they been published in a timely manner? which was verified mainly for Covid-19 related data. The timeliness is assessed by comparing the dates of the first case identified in a given country and the first release of open data on this topic. 6. what is the total number of available data sets? 7. does the open government data portal provides use-cases / showcases?
8. does the open government portal provide an opportunity to gain insight into the popularity of the data, i.e. does the portal provide statistics of this nature, such as the number of views, downloads, reuses, rating etc.? 9. is there an opportunity to provide a feedback, comment, suggestion or complaint? 10. (9a) is the artifact, i.e. feedback, comment, suggestion or complaint, visible to other users?

Format of the file .xls, .ods, .csv (for the first spreadsheet only)

Licenses or restrictions CC-BY

For more info, see README.txt

Real-Time Data Quality Monitoring Tools Market Outlook

According to our latest research, the global Real-Time Data Quality Monitoring Tools market size reached USD 1.86 billion in 2024, reflecting robust adoption across diverse industries. The market is poised for significant expansion, with a compound annual growth rate (CAGR) of 17.2% projected from 2025 to 2033. By the end of 2033, the market is expected to reach a substantial USD 7.18 billion. This rapid growth is primarily driven by the escalating need for high-quality, reliable data to fuel real-time analytics and decision-making in increasingly digital enterprises.

One of the foremost growth factors propelling the Real-Time Data Quality Monitoring Tools market is the exponential surge in data volumes generated by organizations worldwide. With the proliferation of IoT devices, cloud computing, and digital transformation initiatives, businesses are inundated with massive streams of structured and unstructured data. Ensuring the accuracy, consistency, and reliability of this data in real time has become mission-critical, especially for industries such as BFSI, healthcare, and retail, where data-driven decisions directly impact operational efficiency and regulatory compliance. As organizations recognize the business value of clean, actionable data, investments in advanced data quality monitoring tools continue to accelerate.

Another significant driver is the increasing complexity of data ecosystems. Modern enterprises operate in a landscape characterized by hybrid IT environments, multi-cloud architectures, and a multitude of data sources. This complexity introduces new challenges in maintaining data integrity across disparate systems, applications, and platforms. Real-Time Data Quality Monitoring Tools are being adopted to address these challenges through automated rule-based validation, anomaly detection, and continuous data profiling. These capabilities empower organizations to proactively identify and resolve data quality issues before they can propagate downstream, ultimately reducing costs associated with poor data quality and enhancing business agility.

Moreover, the growing emphasis on regulatory compliance and data governance is fostering the adoption of real-time data quality solutions. Industries such as banking, healthcare, and government are subject to stringent regulations regarding data accuracy, privacy, and reporting. Non-compliance can result in severe financial penalties and reputational damage. Real-Time Data Quality Monitoring Tools enable organizations to maintain audit trails, enforce data quality policies, and demonstrate compliance with evolving regulatory frameworks such as GDPR, HIPAA, and Basel III. As data governance becomes a board-level priority, the demand for comprehensive, real-time monitoring solutions is expected to remain strong.

Regionally, North America dominates the Real-Time Data Quality Monitoring Tools market, accounting for the largest share in 2024, thanks to the presence of leading technology vendors, high digital maturity, and early adoption of advanced analytics. Europe and Asia Pacific are also experiencing substantial growth, driven by increasing investments in digital infrastructure and a rising focus on data-driven decision-making. Emerging markets in Latin America and the Middle East & Africa are showing promising potential, supported by government digitalization initiatives and expanding enterprise IT budgets. This global expansion underscores the universal need for reliable, high-quality data across all regions and industries.

Component Analysis

The Real-Time Data Quality Monitoring Tools market is segmented by component into software and services, each playing a pivotal role in the overall ecosystem. The software segment holds the lion’s share of the market, as organizations increasingly deploy advanced platforms that provide automated data profiling, cleansing, validation, and enrichment functionalities. These software solutions are continuously evolving, incorporating artificial inte

PowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).

Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis

Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends

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Field Data Capture Software Market Outlook

According to our latest research, the global Field Data Capture Software market size reached USD 2.41 billion in 2024, with a robust year-over-year growth trajectory. The market is expected to expand at a CAGR of 13.2% during the forecast period, reaching approximately USD 6.98 billion by 2033. This significant growth is propelled by increasing digital transformation initiatives across industries, the proliferation of mobile devices, and the growing need for real-time data collection and analytics in field operations. As organizations strive for operational efficiency, compliance, and enhanced decision-making, the adoption of field data capture software continues to accelerate worldwide.

One of the primary growth drivers for the Field Data Capture Software market is the rising emphasis on data-driven decision-making across sectors such as oil & gas, construction, agriculture, and healthcare. Organizations are increasingly recognizing the value of capturing accurate, real-time data from field operations to streamline workflows, reduce manual errors, and ensure compliance with regulatory requirements. The integration of advanced technologies such as IoT sensors, GPS, and cloud computing into field data capture solutions has significantly improved the quality, accessibility, and security of field data. This technological evolution is enabling businesses to optimize resource allocation, monitor assets remotely, and respond proactively to operational challenges, thereby fueling market growth.

Another critical factor contributing to the expansion of the Field Data Capture Software market is the widespread adoption of mobile devices and cloud-based platforms. As field teams become increasingly mobile, the need for seamless, user-friendly solutions that facilitate data entry, validation, and synchronization has become paramount. Cloud-based field data capture software offers scalability, flexibility, and centralized data management, empowering organizations to deploy solutions rapidly and support remote fieldwork. Furthermore, the ongoing shift toward paperless operations and the demand for sustainability have prompted enterprises to invest in digital tools that minimize paperwork, enhance traceability, and support environmental goals.

The market is also experiencing growth due to regulatory pressures and compliance requirements, particularly in highly regulated industries such as energy, utilities, and healthcare. Governments and industry bodies are mandating stricter reporting, documentation, and audit trails, compelling organizations to adopt robust field data capture solutions. These platforms not only help organizations maintain accurate records but also enable real-time monitoring and reporting, reducing the risk of non-compliance and associated penalties. The ability to customize workflows, automate data validation, and generate instant reports further enhances the appeal of field data capture software, driving its adoption across diverse end-user segments.

Regionally, North America holds the largest share of the Field Data Capture Software market, followed closely by Europe and Asia Pacific. The dominance of North America can be attributed to the early adoption of advanced technologies, significant investments in digital infrastructure, and the presence of leading software vendors. However, Asia Pacific is anticipated to witness the fastest growth during the forecast period, driven by rapid industrialization, expanding construction activities, and increasing awareness of digital solutions among small and medium enterprises. The region's dynamic economic landscape, coupled with government initiatives to promote digitalization, positions Asia Pacific as a key growth engine for the global market.

Component Analysis

The Component segment of the Field Data Capture Software market is bifurcated into software and services, each playing a pivotal role in the market’s overall growth and adoption. The software segment encompasses a wide range of solutions designed to facilitate on-site data collection, including mobile applications, web-based portals, and integrated platforms that support workflow automation, data validation, and real-time analytics. These solutions have evolved to include features such as offline data capture, customizable forms, and seamless integration with enterprise systems, enabling organizations to tailor their fiel

Market Data Distribution Platforms Market Outlook

According to our latest research, the market size of the global Market Data Distribution Platforms Market reached USD 8.7 billion in 2024, with a robust growth trajectory supported by a CAGR of 9.1% projected for the period 2025 to 2033. By the end of 2033, the market is expected to attain a value of USD 19.1 billion. This remarkable growth is primarily driven by the increasing demand for real-time data analytics and the rising adoption of cloud-based distribution solutions across financial institutions, telecommunications, and other data-intensive sectors. As per our latest research, the proliferation of algorithmic trading, regulatory mandates for transparency, and digital transformation initiatives are further propelling the adoption of advanced market data distribution platforms globally.

One of the most significant growth factors for the Market Data Distribution Platforms Market is the exponential rise in data volumes generated by financial markets and other industries. The surge in electronic trading, high-frequency trading, and the adoption of algorithmic strategies have necessitated the need for platforms that can distribute large volumes of market data with minimal latency and maximum reliability. Financial institutions, in particular, require real-time access to market data to make informed trading decisions and to comply with stringent regulatory requirements. The increasing complexity of financial instruments and the globalization of trading activities have made efficient data distribution a critical component of the financial services infrastructure. Furthermore, the growing integration of alternative data sources, such as social media sentiment and geospatial data, is pushing market data distribution platforms to evolve, ensuring they can handle diverse data types while maintaining speed and accuracy.

Another key driver is the widespread adoption of cloud technology and the shift towards hybrid IT environments. Organizations across sectors are recognizing the benefits of cloud-based market data distribution platforms, including scalability, flexibility, and cost efficiency. Cloud deployment allows enterprises to manage and distribute data seamlessly across geographically dispersed teams and trading desks, supporting business continuity and operational agility. Additionally, cloud platforms offer enhanced security features, disaster recovery capabilities, and the ability to integrate with advanced analytics and artificial intelligence tools. These advantages are particularly appealing to small and medium enterprises (SMEs), which may lack the resources to maintain extensive on-premises infrastructure but still require robust market data solutions to remain competitive.

The increasing regulatory scrutiny and the need for transparency in financial transactions are also fueling the demand for advanced market data distribution platforms. Regulatory bodies worldwide are enforcing rules that mandate accurate and timely dissemination of market data to ensure fair trading practices and to protect investors. Market participants must adhere to regulations such as MiFID II in Europe and the Dodd-Frank Act in the United States, which impose strict requirements on data reporting, order execution, and market surveillance. Compliance with these regulations necessitates the deployment of sophisticated data distribution systems capable of supporting real-time monitoring, audit trails, and secure data sharing. This regulatory landscape is compelling financial institutions and other end-users to upgrade their existing platforms or invest in new solutions that offer enhanced compliance features and reporting capabilities.

From a regional perspective, North America continues to hold the largest share of the Market Data Distribution Platforms Market, driven by the presence of major financial hubs, advanced IT infrastructure, and early adoption of innovative technologies. The United States, in particular, is home to leading financial institutions, trading firms, and exchanges that rely heavily on real-time data distribution solutions. Europe follows closely, with significant demand stemming from regulatory reforms and the expansion of electronic trading. The Asia Pacific region is emerging as a high-growth market, fueled by the rapid digitalization of financial services, increasing investments in fintech, and the proliferation of stock exchanges in countries such as China, India, and Japan. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, supported by o