Sports Betting Data Feeds Market Outlook

According to our latest research, the global sports betting data feeds market size stood at USD 1.35 billion in 2024, reflecting robust industry momentum and significant technological advancements. The market is poised to expand at a CAGR of 10.7% from 2025 to 2033, reaching a forecasted value of USD 3.13 billion by 2033. This impressive growth trajectory is primarily driven by the increasing legalization of sports betting across various jurisdictions, the proliferation of digital betting platforms, and the rising demand for real-time, accurate, and comprehensive sports data feeds among bookmakers and operators worldwide.

The primary growth driver for the sports betting data feeds market is the rapid expansion of online sports betting, fueled by widespread internet penetration and the proliferation of smartphones. As more countries move towards legalizing and regulating sports betting, the need for reliable, real-time data has become paramount for both operators and bettors. This surge in digital engagement is compelling bookmakers and betting operators to invest heavily in advanced data feed solutions that deliver pre-match, in-play, and historical data, thereby enhancing user engagement and optimizing betting outcomes. Furthermore, the integration of artificial intelligence and machine learning into data feed platforms is enabling more precise odds-making and fraud detection, further bolstering market growth.

Another significant growth factor is the increasing collaboration between sports leagues, federations, and data feed providers. Sports organizations are recognizing the value of monetizing their data assets and partnering with technology firms to distribute official and exclusive data feeds. These alliances not only ensure the authenticity and integrity of data but also open new revenue streams for sports bodies. Additionally, as consumer expectations for immersive and interactive betting experiences rise, data feed providers are innovating with enriched content such as live statistics, player tracking, and video feeds, which are rapidly becoming standard offerings in the competitive landscape.

The globalization of sports betting is also contributing to the upward trajectory of the sports betting data feeds market. Emerging markets in Asia Pacific, Latin America, and Africa are witnessing a surge in sports betting activities, driven by favorable regulatory shifts and the growing popularity of international sports. This global expansion is compelling data feed providers to diversify their offerings, support multiple sports and languages, and ensure scalability and compliance across jurisdictions. As a result, the market is experiencing an influx of new entrants and increased investments, further intensifying competition and accelerating innovation in data delivery and analytics.

From a regional perspective, Europe continues to dominate the sports betting data feeds market, accounting for the largest revenue share in 2024, closely followed by North America. The mature regulatory environment, high consumer adoption, and presence of leading sports data providers have positioned these regions at the forefront of industry innovation. Meanwhile, Asia Pacific is emerging as the fastest-growing region, with a projected CAGR exceeding 12% through 2033, driven by the rapid legalization of sports betting and the increasing popularity of esports and mobile gaming. Latin America and the Middle East & Africa are also witnessing steady growth, supported by evolving regulatory frameworks and increased investments in digital infrastructure.

Component Analysis

The sports betting data feeds market is segmented by component into software and services, each playing a pivotal role in shaping the industry’s ecosystem. Software solutions form the backbone of data feeds, providing the infrastructure necessary for the aggregation, processing, and dissemination of sports data. These platforms are designed to handle vast volumes of real-time information, in

This Java Script Open Notation (JSON) Feed and ArcGIS Online map presents the unplanned road closures within the ACT in real-time.

The fields of the JSON string include:

Object ID (Numeric field) Global ID (Alpha-numeric field) Project title (Free text field string) Type (Selected from: light rail, special event, road works, emergency, utilities, telecommunications, building construction, ActewAGL, NBN, charitable organisation, inclement weather, other) Describe activity (Free text field string required if "other" type selected) Roads closed (Free text field string) Reason for road closure (Free text field string) Closure start time (Unix Format - see data dictionary for syntax) Closure end time (Unix Format - see data dictionary for syntax) Geometry (X,Y longitude, latitude format)

More information regarding the syntax for querying this API can be found in the linked data dictionary.

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows: Green (fast): 85 - 100% of free flow speeds Yellow (moderate): 65 - 85% Orange (slow); 45 - 65% Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Snapshot img

Sports Betting Market Size 2025-2029

The sports betting market size is valued to increase by USD 221.1 billion, at a CAGR of 12.6% from 2024 to 2029. Digital revolution will drive the sports betting market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 33% growth during the forecast period.
By Platform - Online segment was valued at USD 101.20 billion in 2023
By Type - Basketball segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 162.64 billion
Market Future Opportunities: USD 221.10 billion
CAGR from 2024 to 2029 : 12.6%

Market Summary

The market is a dynamic and complex industry, fueled by the intersection of technology and human passion for sports. With an estimated global value of USD155 billion in 2020, this market's growth is driven by the increasing popularity of online betting platforms and the integration of advanced technologies like machine learning. These innovations enable personalized user experiences, real-time data analysis, and more accurate odds calculation. However, the industry faces significant challenges, including stringent government regulations and restrictions. For instance, in some regions, sports betting remains illegal or heavily regulated, limiting market growth potential. Additionally, concerns over problem gambling and match-fixing continue to shape the regulatory landscape.
Despite these hurdles, the future of sports betting looks promising. Technological advancements, such as blockchain and virtual reality, are poised to revolutionize the industry further. As these developments unfold, businesses must adapt and innovate to stay competitive in this rapidly evolving market.

What will be the Size of the Sports Betting Market during the forecast period?

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How is the Sports Betting Market Segmented ?

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

Platform

  Online
  Offline


Type

  Basketball
  Horse riding
  Football
  Others


Betting Type

  Fixed Odds Wagering
  Exchange Betting
  Live/In-Play Betting
  eSports Betting


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    Australia
    China
    India
    Japan


  Rest of World (ROW)

By Platform Insights

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

The market is in a constant state of evolution, fueled by technological advancements and regulatory changes. The online betting segment, in particular, is thriving, driven by factors such as the expansion of the overall market, the increasing availability of mobile platforms due to Internet and smartphone penetration, and the structural migration of customers from retail to online betting in emerging markets. Technological innovations include advanced responsible gambling tools, payment gateway integration, customer support ticketing, win probability models, AML compliance software, data visualization tools, and bonus claim processes. Regulatory compliance checks, in-play betting data, sports data providers, geofencing technology, KYC compliance protocols, account management features, transaction processing speed, withdrawal processing times, real-time data feeds, betting exchange liquidity, deposit method integrations, user engagement metrics, customer identity verification, live streaming integration, mobile betting platforms, data analytics dashboards, risk management models, CRM system integration, betting platform security, fraud detection systems, user experience design, player segmentation strategies, and more.

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The Online segment was valued at USD 101.20 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

APAC is estimated to contribute 33% 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.

See How Sports Betting Market Demand is Rising in APAC Request Free Sample

The Asia-Pacific (APAC) region is poised to lead The market due to its rapid expansion and significant population base. Comprising over 60% of the world's population, APAC is a burgeoning market with an increasing number of digital platforms and the adoption of online betting. Key factors contributing to this growth include the presence of gambling hubs like Macau and the rising disposable income of the population.

APAC's dominance in the global sports betting landscape is further reinforced

Live Betting Micro-Market API Market Outlook

According to our latest research, the global Live Betting Micro-Market API market size in 2024 stands at USD 1.42 billion, reflecting robust demand from the rapidly evolving sports and gaming industries. The market is experiencing a notable expansion, recording a compound annual growth rate (CAGR) of 13.7% from 2025 to 2033. By the end of 2033, the market is forecasted to reach an impressive USD 4.23 billion. This accelerated growth is primarily fueled by the rising integration of real-time data, enhanced user engagement strategies, and the proliferation of digital betting platforms worldwide.

The primary growth factor driving the Live Betting Micro-Market API market is the increasing adoption of real-time data analytics within the sports betting industry. As bettors demand more dynamic and engaging experiences, operators are leveraging APIs to deliver instant updates, odds, and micro-market opportunities during live events. This shift towards live, in-play betting is revolutionizing how users interact with betting platforms, making APIs essential for providing seamless, data-rich experiences. The ability to offer granular betting options—such as next-goal, next-point, or minute-by-minute outcomes—has significantly expanded market opportunities, particularly as sports and esports events become more digitized and accessible to a global audience.

Another critical factor contributing to market growth is the widespread digital transformation in the gambling sector. The adoption of cloud-based solutions and advanced API technologies has enabled operators to scale quickly, integrate with multiple data sources, and ensure high availability and low latency. This technological evolution is particularly evident in regions where regulatory frameworks are becoming more supportive of online betting activities. Furthermore, the increasing popularity of esports and virtual sports has opened new avenues for API-driven micro-market betting, attracting younger demographics and expanding the market’s user base. As regulatory clarity improves and more jurisdictions legalize online betting, the demand for robust, secure, and scalable APIs is expected to surge.

Strategic partnerships and collaborations between API providers, sports leagues, and betting operators are further accelerating market development. By integrating official data feeds and leveraging advanced analytics, companies can offer more accurate and appealing betting options. The rise of mobile betting platforms and on-demand sports content has also heightened the need for APIs that deliver real-time, personalized experiences. As a result, providers are investing heavily in R&D to enhance API functionality, security, and interoperability. This ecosystem of innovation is fostering healthy competition and driving continuous improvement in live betting micro-market offerings, ultimately benefiting both operators and end-users.

From a regional perspective, Europe currently dominates the Live Betting Micro-Market API market, driven by well-established sports betting cultures and favorable regulatory environments. North America is rapidly catching up, fueled by the legalization of sports betting in several US states and the growing popularity of online gaming. The Asia Pacific region is also witnessing significant growth, particularly in countries with high smartphone penetration and emerging digital economies. These regional dynamics underscore the global nature of the market and highlight the importance of localized strategies to address varying regulatory, technological, and consumer preferences.

Component Analysis

The component segmentation of the Live Betting Micro-Market API market is primarily divided into Software and Services. Software solutions form the backbone of the market, encompassing the development and deployment of robust APIs that facilitate real-time data exchange, odds calculation, and event management. These software platforms are designed to handle hi

The map layers in this service provide color-coded maps of the traffic conditions you can expect for the present time (the default). The map shows present traffic as a blend of live and typical information. Live speeds are used wherever available and are established from real-time sensor readings. Typical speeds come from a record of average speeds, which are collected over several weeks within the last year or so. Layers also show current incident locations where available. By changing the map time, the service can also provide past and future conditions. Live readings from sensors are saved for 12 hours, so setting the map time back within 12 hours allows you to see a actual recorded traffic speeds, supplemented with typical averages by default. You can choose to turn off the average speeds and see only the recorded live traffic speeds for any time within the 12-hour window. Predictive traffic conditions are shown for any time in the future.The color-coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation, and field operations. A color-coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes.The map also includes dynamic traffic incidents showing the location of accidents, construction, closures, and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis.Data sourceEsri’s typical speed records and live and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. The real-time and predictive traffic data is updated every five minutes through traffic feeds.Data coverageThe service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. Look at the coverage map to learn whether a country currently supports traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, visit the directions and routing documentation and the ArcGIS Help.SymbologyTraffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%To view live traffic only—that is, excluding typical traffic conditions—enable the Live Traffic layer and disable the Traffic layer. (You can find these layers under World/Traffic > [region] > [region] Traffic). To view more comprehensive traffic information that includes live and typical conditions, disable the Live Traffic layer and enable the Traffic layer.

EDI now provides seven daily feeds, timed to international trading cycles at 03:30, 07:00, 09:00, 11:00, 13:00, 15:00, and 17:15 GMT/UTC, giving clients consistent, market-aligned data throughout the day.

The Worldwide Fixed Income (WFI) Service enables you to keep track of new bond issues or changes in terms and conditions for both corporate and government issuances. Data is sourced globally from stock exchanges, central banks, ministries of finance, lead managers, paying, calculation and transfer agents.

The fixed income data service cover 40 event types including redemption, conversion, defaults and contains static data outlining key terms and conditions and call schedules. EDI can provide you with pricing supplements, offering circulars, term sheets and prospectuses for as many securities as possible subject to availability. It covers approximately 30% of the Fixed Income database. Use cases: Bond Issuance Tracking | Portfolio Risk Management | Portfolio Valuation | Investment Management | Market Analysis

With the service you will have access to: -International debt securities in more than 150 countries A broad range of asset types including: -Convertibles -FRNs -Permanent interest bearing shares -Preferred securities -Treasury bills In addition, where possible we can extend both instruments and geographic coverage to fully cover your portfolio.

Originally in the equity space, Exchange Data International (EDI) moved to the Fixed Income arena following an increased demand from clients to add debt instruments to its coverage. As the firm was approached by a major credit rating agency to build a customised fixed income service, it developed its own Fixed Income service providing global coverage of the debt market. New countries and sources are continually researched and added to enhance geographic coverage and increase the volume of securities in the database. The service provides historical data back from 2007.

Asset Classes Fully covered: • Canadian strip packages without underlying • Cash management bills • Certificate of deposit (tenure more than 28 days) • Commercial papers (tenure more than 28 days) • Convertibles • Corporate bonds • Government bonds • Municipal securities • Short-term corporate Bonds • Short-term government Bonds • Strips (parent needed) • Treasury bills

Covered if in portfolio: • Asset-backed securities (ABS) (securities entered with critical fields and just covered for live • client’s portfolio and Canada; offering documents processed for live clients; corporate actions not maintained) • Certificates (just covered for live client’s portfolio) • Mortgage-backed securities (MBS) (securities entered with critical fields and just covered for live client’s portfolio and Canada, offering documents processed for live clients; corporate actions not maintained) • Musharaka Sukuks (securities entered with critical fields and just covered for live client’s Portfolio; offering documents processed for live clients; corporate actions not maintained) • Structured Products • Genussschein (AT, CH and DE) • Mortgage-pass through certificates • Pass-through certificates In addition, EDI provides a comprehensive global Fixed Income Corporate Action/Event service, to compliment the reference data, including security and issuer level events and distributions.

This layer presents detectable thermal activity from VIIRS satellites for the last 7 days. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, part of NASA's Earth Science Data.Consumption Best Practices: As a service that is subject to Viral loads (very high usage), avoid adding Filters that use a Date/Time type field. These queries are not cacheable and WILL be subject to Rate Limiting by ArcGIS Online. To accommodate filtering events by Date/Time, we encourage using the included "Age" fields that maintain the number of Days or Hours since a record was created or last modified compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be supplied to many users without adding load on the service.When ingesting this service in your applications, avoid using POST requests, these requests are not cacheable and will also be subject to Rate Limiting measures.Source: NASA LANCE - VNP14IMG_NRT active fire detection - WorldScale/Resolution: 375-meterUpdate Frequency: Hourly using the aggregated live feed methodologyArea Covered: WorldWhat can I do with this layer?This layer represents the most frequently updated and most detailed global remotely sensed wildfire information. Detection attributes include time, location, and intensity. It can be used to track the location of fires from the recent past, a few hours up to seven days behind real time. This layer also shows the location of wildfire over the past 7 days as a time-enabled service so that the progress of fires over that timeframe can be reproduced as an animation.The VIIRS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.Fire points in this service are generally available within 3 1/4 hours after detection by a VIIRS device. LANCE estimates availability at around 3 hours after detection, and esri livefeeds updates this feature layer every 15 minutes from LANCE.Even though these data display as point features, each point in fact represents a pixel that is >= 375 m high and wide. A point feature means somewhere in this pixel at least one "hot" spot was detected which may be a fire.VIIRS is a scanning radiometer device aboard the Suomi NPP and NOAA-20 satellites that collects imagery and radiometric measurements of the land, atmosphere, cryosphere, and oceans in several visible and infrared bands. The VIIRS Thermal Hotspots and Fire Activity layer is a livefeed from a subset of the overall VIIRS imagery, in particular from NASA's VNP14IMG_NRT active fire detection product. The downloads are automatically downloaded from LANCE, NASA's near real time data and imagery site, every 15 minutes.The 375-m data complements the 1-km Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Hotspots and Fire Activity layer; they both show good agreement in hotspot detection but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters.Attribute informationLatitude and Longitude: The center point location of the 375 m (approximately) pixel flagged as containing one or more fires/hotspots.Satellite: Whether the detection was picked up by the Suomi NPP satellite (N) or NOAA-20 satellite (1). For best results, use the virtual field WhichSatellite, redefined by an arcade expression, that gives the complete satellite name.Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel. This value is based on a collection of intermediate algorithm quantities used in the detection process. It is intended to help users gauge the quality of individual hotspot/fire pixels. Confidence values are set to low, nominal and high. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Nominal confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.Please note: Low confidence nighttime pixels occur only over the geographic area extending from 11 deg E to 110 deg W and 7 deg N to 55 deg S. This area describes the region of influence of the South Atlantic Magnetic Anomaly which can cause spurious brightness temperatures in the mid-infrared channel I4 leading to potential false positive alarms. These have been removed from the NRT data distributed by FIRMS.FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (2005)).DayNight: D = Daytime fire, N = Nighttime fireHours Old: Derived field that provides age of record in hours between Acquisition date/time and latest update date/time. 0 = less than 1 hour ago, 1 = less than 2 hours ago, 2 = less than 3 hours ago, and so on.Additional information can be found on the NASA FIRMS site FAQ.Note about near real time data:Near real time data is not checked thoroughly before it's posted on LANCE or downloaded and posted to the Living Atlas. NASA's goal is to get vital fire information to its customers within three hours of observation time. However, the data is screened by a confidence algorithm which seeks to help users gauge the quality of individual hotspot/fire points. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Medium confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.RevisionsSeptember 15, 2022: Updated to include 'Hours_Old' field. Time series has been disabled by default, but still available.July 5, 2022: Terms of Use updated to Esri Master License Agreement, no longer stating that a subscription is required!This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

The ITS Directive and UK traffic and lorry parking data - road safety related data from Transport Northern Ireland

The UK Department for Transport and the devolved administrations are taking an opportunity offered by the European ITS Directive to improve access to open transport-related data and encourage its reuse. This will create new opportunities for services and research and ultimately benefit the travelling public.

All organisations which collect or create traffic and lorry parking data on any part of the UK TEN-T network may fall within the EU legislation known as the ITS Directive. Private sector companies are entitled to charge for accessing and reusing their data.

The designated data must be made available via an access point. The UK Department for Transport is building on the established Government open data portal www.data.gov.uk to provide this access point, rather than create a new access mechanism. This approach will further encourage the opening up and reuse of data.

The Delegated Regulation associated with this dataset is:

Road safety related traffic information Council of the European Union - Commission Delegated Regulation of 15 May 2013 supplementing Directive 2010/40/EU (“the ITS Directive”) of the European Parliament and of the Council with regard to data and procedures for the provision, where possible, of road safety-related minimum universal traffic information free of charge to users.

For more detailed information about the ITS Directive and how we are using it to improve access to UK traffic and lorry parking data, see https://data.gov.uk/intelligent-transport-systems

Enquiries are welcome to directive@its-uk.org.uk

The feeds are available via RSS (Really Simple Syndication) XML format and are updated every 5 minutes.

To use RSS feeds you can either get an RSS reader, or, if you´ve got a recent browser, you can view the feeds there.

The feeds available are for roadworks, incidents and events on the road network in Northern Ireland and for roadworks, incidents and events on the road network in the Greater Belfast area only and a feed for general traffic information in Northern Ireland. To make use of this data, pleaseread the terms and conditions for the use of Trafficwatchni RSS feeds.

By subscribing to the Trafficwatchni RSS feeds you will be deemed to agree with the Terms and Conditions of their use.

Services will be delivered in RSS XML format using web services to push data to subscribers. Details of the services can be found at http://trafficwatchni.com/faq-rss

Please contact us if you have any queries about how to access this data mailto:Belfast.TICC@infrastructure-ni.gov.uk

The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.

US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.

US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.

End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.

Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.

Sports Data-Driven Storytelling Platforms Market Outlook

According to our latest research, the global sports data-driven storytelling platforms market size reached USD 1.42 billion in 2024, registering a robust year-on-year growth. The market is projected to expand at a CAGR of 17.8% during the forecast period, reaching a value of USD 6.12 billion by 2033. This rapid growth is primarily fueled by the increasing demand for immersive, personalized fan experiences and the proliferation of digital media channels, which are transforming the way sports content is created, distributed, and consumed worldwide.

One of the most significant growth factors for the sports data-driven storytelling platforms market is the surging integration of advanced analytics and artificial intelligence in sports broadcasting and content creation. Modern sports fans are no longer satisfied with generic narratives; they seek deeper insights, real-time statistics, and engaging visualizations that enhance their understanding and enjoyment of games. As a result, sports organizations, broadcasters, and digital media companies are leveraging data-driven storytelling platforms to transform raw sports data into compelling narratives, interactive graphics, and personalized experiences. The ability to blend live data feeds with historical context, player statistics, and predictive analytics is revolutionizing the fan experience, making it more interactive, informative, and emotionally resonant.

Another driving force behind the market’s growth is the increasing competition among sports teams, leagues, and media houses to differentiate themselves in a crowded digital landscape. The proliferation of streaming platforms and social media has created a demand for unique, real-time content that can capture and retain audience attention. Data-driven storytelling platforms empower organizations to create custom content tailored to specific fan segments, enabling targeted engagement and maximizing monetization opportunities. Furthermore, the rise of sponsorship and advertising in sports media is pushing brands and advertisers to seek innovative ways to connect with audiences, using data-driven narratives to enhance brand visibility and drive fan loyalty.

The ongoing digital transformation in the sports industry is also catalyzing market expansion. With the adoption of cloud computing, 5G connectivity, and IoT-enabled devices, the volume and velocity of sports data generation have increased exponentially. This has paved the way for scalable, cloud-based storytelling platforms that can ingest, process, and visualize massive datasets in real time. Additionally, the growing popularity of e-sports and fantasy leagues has broadened the application scope of these platforms, attracting new user groups and driving further innovation in content formats, interactivity, and distribution channels. As data privacy and security concerns are addressed through robust compliance frameworks, the market is poised for sustained growth across both mature and emerging economies.

Regionally, North America continues to dominate the sports data-driven storytelling platforms market, accounting for more than 38% of the global revenue in 2024. The region’s leadership is underpinned by a highly developed sports ecosystem, advanced technological infrastructure, and a large base of digitally engaged fans. Europe follows closely, driven by the popularity of football, rugby, and cricket, as well as the increasing adoption of digital content solutions by sports organizations and broadcasters. The Asia Pacific region is emerging as a high-growth market, with rising investments in sports technology, expanding internet penetration, and a burgeoning middle-class population with a growing appetite for premium sports content. Latin America and the Middle East & Africa are also witnessing steady growth, supported by the digitalization of sports media and the increasing participation of local leagues in global sports events.

Component Analysis

The sports data-driven storytelling platforms m

Sports Data Low-Latency Feed Market Outlook

According to our latest research, the market size of the global Sports Data Low-Latency Feed Market reached USD 1.47 billion in 2024. Registering robust momentum, the sector is expected to grow at a CAGR of 16.8% during the forecast period, reaching a projected value of USD 4.38 billion by 2033. The primary growth driver is the surging demand for real-time analytics and instant data delivery across sports betting, broadcasting, and team performance analysis, as organizations and platforms compete to deliver the fastest, most accurate, and engaging experiences to their audiences and stakeholders.

A significant growth factor for the Sports Data Low-Latency Feed Market is the exponential rise in digital sports consumption and interactive fan engagement. As live sports streaming and digital platforms proliferate, fans expect instant access to real-time statistics, scores, and play-by-play data. This demand is particularly pronounced in the realm of sports betting and fantasy sports, where split-second data delivery can impact betting outcomes and fantasy league scores. The integration of ultra-low-latency data feeds enables platforms to offer dynamic odds, live in-play betting, and real-time fantasy updates, creating a seamless and immersive user experience. Additionally, the growing adoption of 5G networks and edge computing technologies is further enhancing the speed and reliability of data transmission, thereby fueling market expansion.

Another pivotal growth driver is the increasing integration of advanced analytics and artificial intelligence in sports team performance analysis. Professional teams and coaches are leveraging low-latency feeds to access granular, real-time data on player movements, biometrics, and in-game events. This data-driven approach allows for immediate tactical adjustments, injury prevention, and optimized training regimens, giving teams a competitive edge. The proliferation of wearable sensors and IoT devices in professional sports is generating vast volumes of actionable data, necessitating robust low-latency infrastructure to process and deliver insights instantaneously. This trend is not limited to elite leagues; even amateur and semi-professional teams are adopting these solutions to enhance performance and scouting, broadening the market’s reach.

The evolving regulatory landscape and the expansion of legalized sports betting across various jurisdictions are also propelling market growth. Governments and regulatory bodies are increasingly recognizing the economic benefits of regulated sports betting, leading to broader market access and heightened competition among betting operators. This has intensified the need for reliable, ultra-fast data feeds to ensure transparency, integrity, and fairness in betting activities. Furthermore, partnerships between sports leagues, data providers, and betting companies are becoming more prevalent, fostering innovation and the development of proprietary low-latency solutions tailored to specific sports and markets. The convergence of these factors is creating a fertile environment for sustained growth in the Sports Data Low-Latency Feed Market.

From a regional perspective, North America and Europe currently dominate the market, driven by mature sports ecosystems, high digital penetration, and early adoption of low-latency technologies. However, Asia Pacific is emerging as a high-growth region, fueled by the rapid expansion of digital infrastructure, rising sports viewership, and the legalization of sports betting in key markets. Latin America and the Middle East & Africa are also witnessing increased investment in sports technology, albeit from a smaller base, as sports organizations and broadcasters seek to enhance fan engagement and operational efficiency. The global outlook remains highly positive, with all regions poised to benefit from ongoing technological advancements and evolving consumer preferences.

Component Analysis

The Component&l

Real-Time Data Widgets for Signage Market Outlook

As per our latest research, the global real-time data widgets for signage market size reached USD 2.47 billion in 2024, driven by the rapid adoption of dynamic digital signage solutions across various industries. The market is experiencing robust expansion, registering a CAGR of 13.2% from 2025 to 2033. By the end of the forecast period in 2033, the market is projected to attain a value of USD 7.18 billion. Key growth factors include the increasing demand for interactive and personalized customer experiences, the proliferation of smart cities, and the integration of IoT and AI technologies in digital signage systems.

The growth of the real-time data widgets for signage market is significantly influenced by the surging demand for dynamic content in retail and transportation sectors. Retailers are increasingly leveraging real-time data widgets to deliver targeted promotions, live updates, and interactive content to enhance the in-store customer journey. Similarly, transportation hubs such as airports, train stations, and bus terminals are adopting these solutions to provide live updates on schedules, weather, and emergency alerts. This capability to deliver up-to-the-minute information not only improves operational efficiency but also elevates the overall user experience, making real-time data widgets a critical component in modern digital signage ecosystems.

Another major growth driver is the advancement and integration of cloud-based technologies and IoT devices. Cloud-based deployment enables centralized management, scalability, and seamless content updates, which are essential for enterprises operating across multiple locations. IoT integration allows for the collection and display of real-time data from various sensors and external sources, further enhancing the relevance and immediacy of displayed content. These technological advancements are fostering innovation in the signage industry, enabling businesses to deliver highly contextual and engaging content that adapts to changing conditions in real-time.

The ongoing digital transformation across corporate, hospitality, education, and healthcare sectors is also fueling market growth. Organizations are increasingly embracing digital signage with real-time data widgets to improve internal communications, streamline information dissemination, and engage stakeholders effectively. In corporate settings, these widgets are used for live dashboards, performance metrics, and emergency notifications, while in healthcare, they provide patient updates, wayfinding, and health tips. The ability to customize and automate content based on live data feeds is proving invaluable across these sectors, driving widespread adoption and market expansion.

From a regional perspective, North America currently dominates the real-time data widgets for signage market, accounting for the largest revenue share due to early technology adoption and strong presence of key market players. Europe follows closely, fueled by smart city initiatives and increasing investments in digital infrastructure. The Asia Pacific region is expected to witness the fastest growth, propelled by rapid urbanization, expanding retail and transportation networks, and a growing focus on enhancing customer engagement through digital means. Latin America and the Middle East & Africa are also showing promising growth trajectories, driven by rising digitalization efforts and increasing awareness of the benefits of real-time data-driven signage solutions.

Component Analysis

The component segment of the real-time data widgets for signage market is broadly categorized into software, hardware, and services. Software solutions form the backbone of this market, enabling the seamless integration of real-time data feeds with digital signage displays. These software platforms are equipped with advanced features such as data aggregation, content management, analytics, and automation, which allow businesses to curate and dis

Betting-Ready Sports Video Feeds Market Outlook

According to our latest research, the global betting-ready sports video feeds market size reached USD 1.92 billion in 2024, reflecting a robust surge in the adoption of real-time, data-integrated video feeds across the sports betting landscape. The market is projected to expand at a compelling CAGR of 13.8% from 2025 to 2033, reaching an estimated USD 6.06 billion by 2033. This strong growth trajectory is primarily attributed to the escalating demand for immersive betting experiences, the proliferation of sports betting legalization worldwide, and the integration of advanced analytics and artificial intelligence in sports video technology.

One of the principal growth factors driving the betting-ready sports video feeds market is the increasing convergence of live sports broadcasting and interactive betting platforms. As sports fans seek more engaging and dynamic experiences, the demand for real-time video feeds that are seamlessly integrated with betting odds, statistics, and instant data visualization tools has surged. This convergence not only enhances user engagement but also provides betting operators with innovative ways to differentiate their offerings in a highly competitive environment. Moreover, the expansion of digital infrastructure and high-speed internet connectivity, especially in emerging markets, has made it feasible for a broader audience to access high-quality, low-latency video feeds, further fueling market expansion.

Another significant driver is the rapid evolution of artificial intelligence and machine learning technologies within the sports video feeds ecosystem. These technologies empower betting operators and sportsbooks to deliver personalized content, predictive analytics, and sophisticated in-play betting options. The ability to process and analyze vast amounts of live data in real time allows for the creation of tailored betting experiences, which in turn boosts customer retention and acquisition. Additionally, advancements in video compression and streaming protocols have enabled the delivery of ultra-low latency feeds, which are crucial for live betting scenarios where every second counts. This technological progress is expected to continue propelling the market forward over the forecast period.

Additionally, the global regulatory environment is evolving in favor of legalized sports betting, which has a direct and positive impact on the betting-ready sports video feeds market. Countries across North America, Europe, and Asia Pacific are progressively liberalizing their sports betting laws, leading to an influx of new market entrants and increased investments in sports media technologies. This regulatory momentum is encouraging partnerships between sports leagues, media companies, and betting operators, all of whom are seeking to leverage high-quality video feeds to engage fans and monetize new revenue streams. As a result, the ecosystem around betting-ready sports video feeds is becoming more sophisticated and interconnected, further accelerating market growth.

From a regional perspective, North America and Europe remain at the forefront of market adoption, thanks to their mature sports betting industries and advanced technological infrastructure. However, the Asia Pacific region is emerging as a significant growth engine, driven by the rapid expansion of digital sports media, rising disposable incomes, and increasing legalization of sports betting in several key markets. Latin America and the Middle East & Africa are also showing promising potential, as regulatory reforms and digital transformation initiatives gather momentum. Collectively, these regional dynamics underscore the global nature of the betting-ready sports video feeds market and its potential for sustained, long-term growth.

Component Analysis

The betting-ready sports video feeds market is segmented by component into software, hardware, and services, each playing a critical role in the delivery and enhancement

EV Charging Open Data Feeds Market Outlook

According to our latest research, the global EV Charging Open Data Feeds market size reached USD 1.28 billion in 2024, reflecting robust expansion driven by the surge in electric vehicle (EV) adoption and the growing need for real-time charging infrastructure data. The market is expected to continue its upward trajectory, projected to attain a value of USD 6.95 billion by 2033, representing a remarkable CAGR of 20.7% during the forecast period of 2025 to 2033. This impressive growth is fueled by the increasing integration of digital platforms in EV ecosystems, the proliferation of smart mobility solutions, and the strategic push by governments and industry stakeholders to enable seamless EV experiences through open data initiatives.

One of the primary growth drivers for the EV Charging Open Data Feeds market is the exponential rise in electric vehicle adoption across both developed and emerging economies. As more consumers and businesses transition to electric mobility, the demand for accessible, transparent, and real-time information regarding charging station locations, availability, pricing, and operational status has surged. Open data feeds have become vital in addressing range anxiety, optimizing route planning, and enhancing user convenience. Additionally, major automotive OEMs and charging network operators are increasingly collaborating to standardize data sharing protocols, ensuring interoperability and fostering a unified EV charging ecosystem. This collaborative approach not only improves the end-user experience but also accelerates innovation in digital mobility services.

Another significant factor propelling the EV Charging Open Data Feeds market is the surge in digital transformation initiatives within the automotive, energy, and utilities sectors. The integration of open data feeds into navigation systems, mobile applications, and fleet management solutions has unlocked new avenues for value creation. Real-time data on charging station status, dynamic pricing, and energy grid integration empowers service providers to offer personalized recommendations, optimize charging schedules, and manage energy loads efficiently. Furthermore, the proliferation of Internet of Things (IoT) technologies and advancements in cloud computing have made it easier for stakeholders to aggregate, process, and disseminate large volumes of charging data, thus supporting the scalability and reliability of open data platforms.

Government policies and regulatory frameworks have also played a crucial role in shaping the growth trajectory of the EV Charging Open Data Feeds market. Many regions, particularly in Europe and North America, have introduced mandates for data transparency and interoperability in public charging infrastructure. These policies incentivize the sharing of real-time data with third-party developers, utilities, and mobility service providers, thereby fostering innovation and competition. Additionally, public-private partnerships and investments in smart city initiatives have accelerated the deployment of digital infrastructure, further expanding the reach and utility of open data feeds. As a result, the market is witnessing increased participation from diverse stakeholders, including technology firms, municipal authorities, and energy companies.

Regionally, Europe continues to lead the EV Charging Open Data Feeds market, supported by stringent regulatory standards, strong government incentives, and a mature EV ecosystem. North America is rapidly catching up, driven by large-scale investments in charging infrastructure and the active involvement of automotive OEMs and tech companies. Meanwhile, the Asia Pacific region is emerging as a high-growth market, propelled by rising EV adoption in China, Japan, and South Korea, coupled with ambitious government initiatives to develop smart transportation networks. Latin America and the Middle East & Africa are also witnessing gradual progress, albeit at a slower pace, as they ramp up investments in sustainable mobility solutions and digital infrastructure.

Data Type Analysis<

This dataset contains traffic incident information from the Austin-Travis County traffic reports collected from the various Public Safety agencies through a data feed from the Combined Transportation, Emergency, and Communications Center (CTECC). For further context, see: - Active Incidents: Map and Context - https://data.austintexas.gov/stories/s/Austin-Travis-County-Traffic-Report-Page/9qfg-4swh/ - Data Trends and Analysis - https://data.austintexas.gov/stories/s/48n7-m3me The dataset is updated every 5 minutes with the latest snapshot of active traffic incidents.

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This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

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Game Feed Market Size 2024-2028

The game feed market size is valued to increase by USD 11.71 billion, at a CAGR of 4.2% from 2023 to 2028. Growing popularity of animal sports will drive the game feed market.

Market Insights

North America dominated the market and accounted for a 52% growth during the 2024-2028.
By Type - Protein segment was valued at USD 15.5 billion in 2022
By segment2 - segment2_1 segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 46.74 million 
Market Future Opportunities 2023: USD 11713.70 million
CAGR from 2023 to 2028 : 4.2%

Market Summary

The market encompasses the production and distribution of specialized nutritional formulas for animals engaged in competitive sports and entertainment industries. This market's expansion is driven by the growing popularity of animal sports and the increasing demand for optimized animal performance. An essential trend shaping the market is the introduction of medicated feed, which addresses various health concerns and enhances animal well-being. An illustrative business scenario demonstrates the significance of game feed in operational efficiency and regulatory compliance. Consider a large-scale livestock farm that raises animals for exhibition and competition. The farm's success hinges on the health and performance of its animals. By implementing a game feed regimen, the farm can ensure its animals receive the optimal balance of nutrients, leading to improved growth rates, enhanced muscle development, and better overall health. Additionally, game feed formulations can help the farm comply with stringent animal welfare regulations, as they often contain essential additives that promote animal health and minimize stress. The market is influenced by various factors, including technological advancements, changing consumer preferences, and evolving regulatory requirements. As the industry continues to evolve, game feed manufacturers must stay abreast of these trends and challenges to maintain a competitive edge.

What will be the size of the Game Feed Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free SampleThe market represents a dynamic and ever-evolving landscape, driven by advancements in player behavior analysis, distributed computing, and parallel processing. These technologies power mobile game optimization, cross-platform compatibility, and churn prediction models, among other innovations. One significant trend in this domain is game server architecture, which has seen a 30% increase in demand due to the rise of live stream integration and social media engagement. This shift necessitates boardroom-level decisions around network infrastructure, data enrichment processes, and data mining techniques to ensure seamless user experiences. Additionally, performance optimization and monetization strategies are critical areas of focus, with customized dashboards, in-game advertising, and dynamic content delivery playing essential roles. Player engagement metrics, such as retention rate analysis and data compression techniques, are also vital in understanding and retaining user bases. Game telemetry and real-time feedback loops further enable companies to make data-driven decisions, while data validation rules ensure the accuracy and reliability of the information. By staying informed of these trends and implementing effective strategies, businesses can remain competitive in the ever-changing the market.

Unpacking the Game Feed Market Landscape

In the dynamic and competitive landscape of the market, businesses leverage advanced technologies to optimize their data management and gain a competitive edge. API integration strategies enable real-time data access, enhancing operational efficiency by a factor of three compared to traditional methods. Machine learning models and predictive modeling algorithms power data stream management, delivering accurate in-game event detection and match outcome prediction with 95% accuracy. Scalable architecture designs, including serverless computing and microservice architecture, ensure database scalability and data pipeline optimization. Data security protocols safeguard sensitive information, while low-latency streaming and real-time analytics platforms facilitate instant decision-making. Big data infrastructure and data governance frameworks ensure data quality assurance and compliance alignment, ultimately driving significant ROI improvements.

Key Market Drivers Fueling Growth

The surge in popularity of animal sports serves as the primary catalyst for market growth. The market exhibits a dynamic and expanding scope, catering to the nutritional requirements of animals involved in various sports sectors. In Europe, bullfighting and horse racing necessitate specialized feed to ensure the animals' opt

The Car Park API provides real time and historical occupancy of selected car parks. This API provides the occupancy for Transport Park&Ride car parks. Transport Park&Ride is designed to free-up more spaces at commuter car parks for those who want to travel on public transport. The data feed contains the parking occupancy information by type in real time. The Sydney Metro stations for Tallawong, Bella Vista, Hills Showground, Cherrybrook and Kellyville are reporting real time occupancy levels. It is intended other car park occupancy data will be enabled via this API in the future. Click here for more information on Transport Park&Ride.