Analyzing streaming service prices allows consumers to make informed decisions based on their budget, ensuring they get the best value for their entertainment preferences. This dataset contains price history since 2011 for major streaming services: Netflix, Amazon Prime Video, Hulu, Disney+, HBO Max, Apple TV+, Peacock, Paramount+, Shudder, Crunchyroll.

All prices are for ad-free, lowest-cost monthly subscriptions.

For use case and analysis reference, please take a look at the Streaming Service Prices Study notebook.

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To standardize, all prices follow the below condition. - U.S. price. - Lowest cost. - No ads. - No bundle.

Netflix had the most expensive subscription plan among video streaming services in the U.S., with its ad-free premium tier costing just under 23 U.S. dollars per month as of October 2024. By contrast, the streaming giant’s most basic plan supported with ads costs subscribers nearly seven U.S. dollars on a monthly basis. Peacock and Paramount+ were priced lower than the larger, more established SVOD providers like Netflix, Max, and Disney+, with the latter recently increased their fees. Consumer behavior after price hikes Video streaming services regularly increase their subscription costs. However, in light of recent economic developments, it is particularly taxing for consumers who must decide whether they can still afford the luxury of having multiple streaming subscriptions. According to a 2024 survey, the main reasons for consumers to stop the use of streaming offers were cost-related, and they are increasingly looking for alternative monetization models and bundling options. DTC business under pressure In order to keep their customers engaged and boost income, streaming providers needed to take action. Disney, for example, not only increased subscription fees, but also announced several cost-cutting measures to become profitable in the direct-to-consumer business in the upcoming years. These included laying off thousands of employees and reducing content spending by removing TV shows and movies from their services.

Streaming Database Market Outlook

According to our latest research, the global streaming database market size in 2024 stands at USD 1.85 billion, reflecting robust demand for real-time data processing across industries. The market is projected to grow at a remarkable CAGR of 21.1% from 2025 to 2033, reaching an estimated USD 12.29 billion by the end of the forecast period. This impressive expansion is primarily driven by the increasing need for instant data-driven decision-making, rapid digital transformation, and the proliferation of IoT devices and real-time analytics applications.

One of the primary growth drivers for the streaming database market is the surging adoption of real-time analytics across diverse industry verticals. Organizations today are inundated with massive volumes of data generated from various sources such as online transactions, IoT sensors, social media, and mobile devices. The ability to process, analyze, and act on this data in real-time is becoming a critical differentiator, especially for sectors like BFSI, retail, and telecommunications, where customer experience and operational agility are paramount. Streaming databases enable enterprises to gain actionable insights within milliseconds, thereby supporting use cases such as fraud detection, personalized marketing, and dynamic pricing. As enterprises continue to embrace digital transformation initiatives, the demand for robust, scalable, and high-performance streaming database solutions is expected to accelerate further.

Another significant factor fueling the growth of the streaming database market is the exponential rise in IoT deployments and connected devices. With billions of sensors and devices generating continuous streams of data, traditional batch-processing databases are increasingly inadequate for handling the velocity and volume of information. Streaming databases are purpose-built to ingest, process, and analyze data as it arrives, making them indispensable for IoT applications such as predictive maintenance, real-time monitoring, and smart city solutions. Furthermore, advancements in edge computing and 5G networks are amplifying the need for low-latency data processing, further boosting the adoption of streaming database technologies in both industrial and consumer IoT landscapes.

The evolution of cloud computing is also playing a pivotal role in shaping the streaming database market. Cloud-based streaming databases offer unparalleled scalability, flexibility, and cost-efficiency, enabling organizations to process vast streams of data without the need for significant upfront infrastructure investments. This is particularly attractive for small and medium-sized enterprises (SMEs) and startups that require agile, pay-as-you-go solutions to support real-time analytics and business intelligence initiatives. The growing ecosystem of cloud-native streaming database platforms, coupled with seamless integration capabilities with other cloud services, is expected to drive sustained market growth throughout the forecast period.

From a regional perspective, North America continues to dominate the streaming database market, driven by the presence of leading technology vendors, early adoption of advanced analytics, and strong investments in digital infrastructure. However, the Asia Pacific region is witnessing the fastest growth, fueled by rapid industrialization, expanding internet penetration, and government-led smart city initiatives. Europe is also emerging as a significant market, particularly in sectors such as manufacturing, healthcare, and financial services, where real-time data processing is becoming increasingly critical. Latin America and the Middle East & Africa are gradually catching up, supported by growing digitalization efforts and investments in IT modernization.

Component Analysis

The component segment of the streaming database market is broadly categorized into software, hardware, and services, each playing a crucial role in enabling real-time data processing capabilities for enterprises. The software segment holds the largest market share, primarily due to the continuous innovation in streaming database engines, data integration tools, and advanced analytics platforms. Modern streaming database software is designed to deliver high throughput, low latency, and seamless scalability, catering to the evolving needs of data-driven organizations. Vendors are increasingly focusing on incorpor

This dataset, titled "Netflix Stock Data and Key Affiliated Companies", provides comprehensive insights into the stock performance of Netflix (NFLX) alongside several key companies that have played a significant role in Netflix's growth and operational success. These companies include major technology and media giants such as Amazon (AMZN), Intel (INTC), Warner Bros. Discovery (WBD), Sony (SONY), and others.

Dataset Overview:

The dataset includes daily stock data for Netflix and a selection of companies that contribute to its content distribution, technological infrastructure, cloud services, and content licensing. The selection of affiliated companies highlights the broad ecosystem of services and technologies that power Netflix's streaming service and its original content production.

Key Companies Included:

1. Netflix (NFLX) – The leading global streaming platform that revolutionized the way we consume media.
2. Amazon (AMZN) – Provides critical cloud infrastructure via Amazon Web Services (AWS), enabling Netflix to scale globally.
3. Intel (INTC) – Supplies advanced processors and server technologies that help Netflix handle massive data loads.
4. Akamai Technologies (AKAM) – A key content delivery network (CDN) provider that ensures fast and reliable streaming.
5. Warner Bros. Discovery (WBD), Paramount Global (PARA), and Sony (SONY) – These media companies have been essential content partners for licensing and streaming rights, fueling Netflix’s growth before and during its original content development.

Features:

• Daily stock prices for Netflix and its key partners over time.
• Open, High, Low, Close, Volume and other financial metrics for each company.
• The dataset allows users to analyze correlations between Netflix and companies that provide essential services like cloud infrastructure, content delivery, and licensed content.

Use Cases:

• Financial Analysis: Evaluate stock trends, price movements, and performance relationships among Netflix and its affiliated companies.
• Business Strategy: Understand how various partnerships and technological dependencies have influenced Netflix’s rapid growth.
• Machine Learning: Use the data for stock prediction models, time-series analysis, or risk assessments by understanding the historical volatility of these companies.

Potential Analysis:

• Stock Price Correlation: Investigate the correlation between Netflix’s stock and its key partners, such as Amazon and Intel.
• Impact of Technological Partners: Assess the importance of key tech partnerships in supporting Netflix’s streaming infrastructure and business operations.
• Influence of Media Partnerships: Examine how the stock performance of media companies like Warner Bros., Sony, and Paramount align with Netflix’s success.

Conclusion:

By analyzing the historical stock data of Netflix alongside these affiliated companies, users can gain deeper insights into how a diverse set of industries—including technology, media, and cloud infrastructure—come together to create the backbone of Netflix’s success. This dataset serves as a valuable resource for financial analysts, machine learning enthusiasts, and business strategists interested in the interconnections between these influential companies.

How to Use:

• Download the dataset, and explore the stock data for the companies mentioned.
• Perform exploratory data analysis (EDA), build models to predict stock prices, or conduct business analysis to uncover the relationships that drive Netflix’s market success.

This dataset provides a solid foundation for understanding the financial landscape surrounding Netflix and its key partners.