Liftr® Cloud Components Tracker℠ Cloud Prices

**Overview**
Cloud prices can reveal a lot about activity in the clouds, the cloud providers, semiconductors, workload types, and about regions of the world. This information is invaluable for market intelligence analysts needing a regular pulse of objective data upon which they can rely.

Cloud service providers ("CSP") devote significant resources to accurate pricing of their services. As such, that information provides value for many other companies about different markets. The prices for services vary on many factors, including CSP, workload, and regions. So, objective pricing data can help companies with their own market intelligence needs by leveraging the work the CSPs have already done.

Liftr Insights has been obtaining data on prices and many other factors for over 5 years. During that timeframe, Liftr has not changed its methodology, though it does stay abreast of the regular changes that make obtaining consistent data challenging.

The prices shown are average on-demand prices per hour in US Dollars.

Note that sample data is intentionally older data and does not include all regions.

**Use cases**
- Demand Forecasting
Prices can be leveraged as a guide for regions of the world with higher priced workloads. Over time, data can be used to identify changes which can affect demand.

- Fundamental Analysis
Cloud prices across regions provides insight into differences between cloud service providers and among regions across the globe. Note that the data can be further subdivided to separate out accelerators (e.g., GPUs) and by workload (e.g., Storage Optimized, Memory Optimized).

- Pricing Analysis
Cloud service providers pricing can be compared or contrasted to other pricing across the globe. It could also be used in isolation to compare pricing by CSP, by workload, and by global region. They can be compared individually or combined to see, for example, Memory-Optimized pricing in the Middle East.

- Market Analysis
Evaluating market differences between cloud providers and/or regions across the globe regarding pricing in total or by specific workloads.

**Sample Data**
Note that the sample data shown is older data and is only a fraction of the data. It only includes data for a handful of providers in only two global regions. The full data set will have much more coverage.

**概览**
云服务定价可揭示诸多维度的信息：云平台内的运行态势、云服务提供商（Cloud Service Provider, CSP）的经营状况、半导体行业动态、各类工作负载类型，乃至全球各区域的市场情况。对于依赖可靠客观数据以定期掌握市场脉搏的市场情报分析师而言，这类信息价值连城。

云服务提供商（CSP）会投入大量资源以确保其服务定价的精准性，因此这类定价信息对诸多布局不同细分市场的企业同样具备参考价值。服务定价受多重因素影响，包括云服务提供商、工作负载类型以及部署区域。因此，通过复用云服务提供商已完成的定价调研工作，客观的定价数据可帮助企业满足自身的市场情报需求。

Liftr Insights团队已持续收集相关定价及多维度关联数据超过五年。在此期间，尽管该团队始终密切关注那些给获取一致性数据带来挑战的行业常规变化，但并未调整其数据采集方法论。

本次展示的价格均为以美元计价的按需服务每小时平均单价。

请注意，本次展示的示例数据为特意选用的历史旧数据，且未覆盖所有区域。

**应用场景**
- 需求预测
可将定价作为全球高溢价工作负载所属区域的参考依据；随着数据积累，可用于识别影响市场需求的各类变化。

- 基本面分析
全球各区域的云服务定价可帮助分析师洞察不同云服务提供商之间以及全球各区域之间的定价差异。请注意，该数据集可进一步细分，例如按加速器（如图形处理器GPU）类型、工作负载类型（如存储优化型、内存优化型）进行拆分。

- 定价分析
可将不同云服务提供商的定价与全球其他定价进行横向对比；也可单独用于按云服务提供商、工作负载类型以及全球区域划分的定价对比。用户可单独或组合对比多维度数据，例如查看中东地区的内存优化型服务定价。

- 市场分析
可用于评估全球范围内不同云服务提供商之间或各区域之间的整体定价差异，或针对特定工作负载的定价差异。

**示例数据**
请注意，本次展示的示例数据为特意选用的历史旧数据，且仅为全量数据集的一小部分，仅涵盖了两个全球区域内的少数几家云服务提供商的数据。完整数据集的覆盖范围将广泛得多。

搜集汇总

背景与挑战

背景概述

该数据集提供全球主要云服务商的按需服务每小时美元均价，覆盖不同工作负载类型和地区，包含5年持续采集的客观定价数据。适用于市场需求预测、竞品定价分析及区域市场差异研究等商业智能场景。