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?

Request Free Sample

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, virtualiza

This location data product focuses on real-time GPS pings collected across North, Central, and South America. Using the Irys Location API, users can access polygon-based movement patterns from anonymized mobile devices across urban and rural areas.

Events include timestamps, precise geocoordinates, country codes, and device identifiers. Query the dataset using polygon filters and receive structured outputs via API or cloud endpoints. Supported formats include JSON, CSV, and Parquet.

With historical backfill and fresh updates every day, the dataset is ideal for retailers, advertisers, city planners, and researchers analyzing behavior and trends across the Americas. It supports use cases like retail site selection, mobility forecasting, and geofencing for public safety.

All data is delivered with a maximum lag of three days and complies with GDPR and CCPA regulations.

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.

Snapshot img

Music Streaming Market Size 2025-2029

The music streaming market size is forecast to increase by USD 53.49 billion, at a CAGR of 19% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing preference for the consumption of music on demand. This shift is fueled by the convenience and accessibility that music streaming services offer, allowing users to access a vast library of songs at any time and from anywhere. Furthermore, the introduction of differentiated offerings, such as high-definition audio and personalized recommendations, is further enhancing the user experience and attracting new subscribers. Additionally, advancements in technology and the integration of artificial intelligence and machine learning are enhancing the user experience, making music streaming a popular choice for consumers globally. However, the market faces a notable challenge: the lack of ownership in music streaming. As users increasingly rely on streaming services for their music needs, the question of ownership and control over their music collections becomes increasingly relevant.
This issue may hinder the growth of the market, as some consumers may prefer the tangibility and ownership that traditional music formats provide. To capitalize on market opportunities and navigate these challenges effectively, companies must focus on delivering innovative solutions that address user needs while mitigating potential concerns around ownership and control.

What will be the Size of the Music Streaming Market during the forecast period?

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

The market continues to evolve, with dynamic market dynamics shaping its landscape. Streaming platforms are increasingly integrating advanced features to enhance user experience (UX), such as playlist collaboration, wearable device integration, and A/B testing. Recommendation engines and music discovery algorithms cater to user engagement by suggesting personalized playlists based on listening history and preferences. Offline playback, high-resolution audio, and lossless audio are becoming standard offerings, while user interface (UI) designs prioritize ease of use and accessibility. Subscription revenue models dominate the market, with freemium options providing access to a vast music library. API integration enables third-party developers to create innovative applications, while voice control and podcast integration cater to diverse user needs.

Streaming platforms are investing in data analytics to understand user behavior and improve music discovery. Artist promotion and community features foster engagement and loyalty, while smart speaker integration and family sharing expand reach. Music licensing and copyright protection are crucial aspects, ensuring intellectual property rights and fair compensation for artists. Advertising revenue and music distribution are essential revenue streams, with content moderation and data security measures ensuring a safe and enjoyable user experience. Subscription models continue to evolve, offering flexibility and value to consumers. The market's ongoing dynamism underscores the importance of continuous innovation and adaptation to user needs and preferences.

How is this Music Streaming Industry segmented?

The music streaming 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.

Type

  Free
  Paid


End-user

  Individual users
  Commercial users


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

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

The market is experiencing significant advancements, with collaboration on playlists and integration with wearable devices becoming increasingly popular. A/B testing and user experience (UX) are prioritized to enhance user engagement. Recommendation engines and music discovery algorithms facilitate personalized listening experiences. Offline playback and high-resolution audio cater to user preferences, while subscription revenue models dominate the market. Subscription models offer various tiers, including lossless audio and family sharing. Streaming platforms leverage APIs for third-party integrations, enabling voice control and smart speaker compatibility. Podcast integration and live streaming expand content offerings. Data analytics and artist promotion are essential tools for music distribution and intellectual pro

Success.ai’s Connected TV Data for Broadcast Media & Entertainment Professionals Worldwide offers a comprehensive dataset tailored for businesses seeking to engage with key decision-makers and innovators in the broadcast and entertainment industries. Covering professionals from global media corporations, production studios, streaming platforms, and ad-tech companies, this dataset provides verified contact numbers, email addresses, and geographic location data.

With access to over 700 million verified global profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and strategic planning are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution empowers businesses to thrive in the dynamic world of connected TV and entertainment.

Why Choose Success.ai’s Connected TV Data?

1. Verified Contact Data for Precision Targeting

   • Access verified phone numbers, work emails, and LinkedIn profiles of professionals in broadcast media, OTT platforms, and connected TV ecosystems.
   • AI-driven validation ensures 99% accuracy, minimizing wasted efforts and maximizing campaign efficiency.

2. Comprehensive Global Coverage

   • Includes profiles of professionals and companies from major entertainment hubs like Los Angeles, London, Mumbai, Seoul, and more.
   • Gain insights into regional content trends, technology adoption, and market opportunities across continents.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, business expansions, content strategies, and technology investments.
   • Stay aligned with fast-evolving industry trends and maintain relevance in your outreach efforts.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful use of data for your campaigns.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with decision-makers, content creators, and tech innovators in broadcast media and entertainment worldwide.
• 30M Company Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic locations.
• Contact and Location Data: Gain direct access to verified phone numbers, email addresses, and physical office locations for strategic outreach.
• Leadership Profiles: Engage with CEOs, CTOs, production heads, and ad-tech professionals shaping connected TV strategies.

Key Features of the Dataset:

1. Decision-Maker Profiles in Media & Entertainment

   • Identify and connect with executives, content strategists, and technology leaders driving innovation in connected TV and broadcast media.
   • Target professionals responsible for ad placement, content distribution, and audience engagement.

2. Firmographic and Geographic Insights

   • Access detailed business information, including company hierarchies, geographic locations, and operational structures.
   • Pinpoint key players in regional markets and identify emerging content hubs.

3. Advanced Filters for Precision Campaigns

   • Filter companies by segment (streaming platforms, cable networks, production studios), geographic location, company size, or revenue range.
   • Tailor outreach to align with specific industry challenges, such as audience targeting, ad-tech integration, or content localization.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes with media professionals.

Strategic Use Cases:

1. Ad-Tech and Marketing Solutions

   • Present innovative ad-placement technologies, audience analytics tools, or campaign management platforms to ad-buyers and media strategists.
   • Build relationships with professionals managing programmatic ad campaigns and audience segmentation strategies.

2. Content Distribution and Partnerships

   • Engage with streaming platforms, OTT services, and broadcast networks exploring partnerships for content distribution or technology integration.
   • Foster alliances to expand content reach, improve viewer engagement, or enhance monetization strategies.

3. Market Research and Consumer Trends

   • Analyze trends in content consumption, connected TV adoption, and audience preferences to refine your product or service offerings.
   • Leverage these insights to identify untapped opportunities and create competitive advantages.

4. Recruitment and Talent Solutions

   • Engage HR professionals and production leads seeking top talent for roles in media production, ad-tech development, or content marketing.
   • Offer workforce optimization solutions or recruitment services tailored to the media and entertainment industries.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality connected TV data at competitive prices, ensuring ...

Path of Exile League statistic

Data contains stats of 59000 players, from 4th August of 2017 and before now.

Content

One file with 12 data sections. One league - Harbinger, but 4 different types of divisions:

• Harbinger
• Hardcore Harbinger
• SSF Harbinger
• SSF Harbinger HC

Each division has own ladder with leaders

Acknowledgements

I found this data at the pathofstats.com as a JSON format and exported at CVS. Data have been collecting by this API, and free to use for interested people. If GGG or pathofstats.com don't want to share it here, please contact me and it will be removed.
As I could understand, it is simple data for people, who are new at data science and want to have practice.

Questions for participants

1. A total number of players in each division, usage of each class in descending order.
2. Some of the players streaming their game (twitch colum). Do they play better than people, who does not?
3. Predict chance to be at top 30 in each division, if we are Necromancer. With and without stream.
4. Average number of finished challanges for each division, show division with highest and lowest average challanges.
5. Show dependency between level and class of died characters. Only for HC divisions.

This location data API product covers Asia, with real-time and historical access to anonymized mobile GPS signals. Developers and analysts can query polygon-based movement patterns, access bulk downloads, or stream data via API endpoints.

Each record includes device ID, timestamp, coordinates, horizontal accuracy, and country code. Compatible with Parquet, CSV, or JSON output formats. Optional fields include IP address and device carrier.

Ideal for logistics companies, telcos, transportation analysts, and regional planning teams across Asia Pacific. Use cases include traffic modeling, geofencing, retail mobility, and cross-border audience targeting.

Historical data back to September 2024 available upon request. GDPR/CCPA compliant.

It is the policy of Idaho that a state protected river system be maintained to meet the desires of the citizens of Idaho. The system should provide for the protection of the unique features that exist on various rivers within the state, and should provide the necessary authority and funding to protect such rivers and related lands for recreational, scenic, and natural values. Idahoans have expressed a desire to retain some rivers or river reaches in a free-flowing condition. Idaho Code 42-173A(1) authorizes the Idaho Water Resource Board to protect highly-valued waterways as State protected rivers. The authority to designate "protected rivers" derives from the State's power to regulate the beds of navigable streams and waters within the state. There are six activities that are not allowed in Natural Rivers: Construction of hydropower projects; Construction of Water Diversion works; Construction or expansion of dams or impoundments; Dredge or Placer Mining; Mineral or Sand and Gravel extraction within the stream bed; Recreational Rivers also prohibit these activities but may have exemptions for specific activities.

Solution Publishing by Allforce: Advanced Intent Data Platform Core Capabilities Data Foundations:

Comprehensive B2C contact database for precise marketing campaigns Rich B2B database with detailed firmographic information Interest Data Feed covering 21,000+ topics derived from bid-stream data Technological Advantages:

Advanced LLM scoring that outperforms traditional NLP approaches Customizable topic selection to match your market focus Intuitive persona and audience building interface Daily intent data updates (refreshed at 3 PM ET) Automated export options to FTP, CRMs, or Beeswax advertising platform Interest Data Feed What It Is: A subscription service revealing what prospects are actively researching now, not just who might be interested.

How It Works: Our Topical Buyer Interest Feed analyzes real-time bid-stream data, using advanced LLM technology to understand content context and deliver reliable signals.

The Allforce LLM Advantage:

Context-aware analysis versus simple keyword matching Proprietary Large Language Model understands semantic relationships Contact-level buying intent data (beyond domain level) Dramatically improved signal quality with reduced noise Key Features:

Daily prospect delivery based on your selected topics Combine interest signals with professional attributes and personal demographics Privacy-compliant methodology Privacy-Compliant Prospecting Process Solution Publishing by Allforce routes audience segments to Beeswax for low-cost display campaigns. This creates privacy-compliant prospect lists via pixel resolution:

Website and banner pixels for landing pages and creatives Intent+ pixels for social media retargeting audiences Unified view of contact engagement across channels Automated export of resolution lists to S3 or CRMs

This mobile location dataset provides anonymized GPS event data from across Oceania, including Australia, New Zealand, and surrounding territories. Using the Irys Location API, you can query movement patterns from billions of mobile pings to track population flows, analyze behavior, and enrich location intelligence workflows.

Each event includes: Device ID (MAID: IDFA/GAID) Latitude & longitude coordinates Timestamp (epoch & human-readable date) Country code (ISO3) Horizontal accuracy (85% fill rate) Optional: IP address, carrier, device model

Access & Delivery: Data is available via polygon-based queries (up to 10,000 tiles per query), in JSON, CSV, or Parquet formats. It can be streamed via API or delivered to cloud storage (AWS S3 or Google Cloud). The dataset offers real-time updates with 95% coverage within a 3-day lag, and historical coverage back to September 2024.

Flexibility & Compliance: Supports hourly or daily delivery cadences GDPR & CCPA compliant Credit-based pricing by query area and time range Custom schema mapping and folder structuring available

Use Cases: Location-based advertising & audience targeting Urban planning & infrastructure development Retail site selection & catchment analysis DOOH campaign planning and measurement Mobility trend research & public policy modeling Tourism movement mapping & event planning

This location data API product covers Oceania, with real-time and historical access to anonymized mobile GPS signals. Developers and analysts can query polygon-based movement patterns, access bulk downloads, or stream data via API endpoints.

Each record includes device ID, timestamp, coordinates, horizontal accuracy, and country code. Compatible with Parquet, CSV, or JSON output formats. Optional fields include IP address and device carrier.

Ideal for logistics companies, telcos, transportation analysts, and regional planning teams across Asia Pacific. Use cases include traffic modeling, geofencing, retail mobility, and cross-border audience targeting.

Historical data back to September 2024 available upon request. GDPR/CCPA compliant.