Liftr® Cloud Components Tracker℠ CPU Market Share

**Overview**
Market intelligence analysts use market share for many reasons, including scoping market sizes, competition, and opportunities. Having objective data that is consistently updated provides a solid pulse for models and tracking success of campaigns.

Intel and AMD compete with each new generation of CPU product they offer. There are other supply chain vendors in the market, such as Ampere Computing to consider in the space along with the home-grown offerings (e.g., AWS Graviton) which affect the percent of market available to other providers.

This CPU market share data provides a snapshot view of the data as specific points in time. This data can be updated multiple times every month for a pulse of the market changes, particularly as new generations and new providers come online.

Market intelligence analysts can use this data to have objective data on the providers of CPUs for the public cloud. This information is a strong representative sample for private cloud and private deployments as well. Data can be divided based on a normalized generation across providers. Data also can be divided by CPU vendor, CPU brand, or even architecture (e.g., X86 or ARM).

Note that the trial data is older data for demo purposes only.

**Use cases**
- Market Analysis
Market intelligence analysts can use this data to have objective data on the share of the market at a given point in time or over a period of time. Data can be divided based on a normalized generation across providers. Data also can be divided by CPU vendor, CPU brand, or even architecture (e.g., X86 or ARM).

- Supply Chain
CPU supply chain providers like Intel and AMD compete with each new generation of product they offer. There are other supply chain vendors in the market, such as Ampere Computing. The data provides an additional benefit of providing insights into the home-grown offerings (e.g., AWS Graviton) which affect the percent of market available to other providers. Market intelligence analysts can use this data to have objective data on the providers of CPUs for the public cloud. This information is a strong representative sample for private cloud and private deployments as well. Data can be divided based on a normalized generation across providers. Data also can be divided by CPU vendor, CPU brand, or even architecture (e.g., X86 or ARM).

- Audience Segmentation
When comparing competitors and/or the markets they serve, it's important to have objective data to measure the sizes of audiences for different companies, brands, and products. As such, analysts can more objectively segment audiences and track their progress over time.

- Demand Forecasting
Cloud providers are at the leading edge of demand curves for certain product types. Users tend to experiment first in cloud. Cloud providers know this and leverage their connection with customers in their product planning. As such, what they deploy can be utilized by market intelligence analysts in their demand models and forecasting.

- Quantitative Analysis
Objective data that is updated on a regular cadence provides reliable data for quantitative models. Understanding market share at a point in time and movements over a period of time help with quantitative analysis of cloud services, semiconductors, and the markets they serve.

**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.

搜集汇总

背景与挑战

背景概述

该数据集提供全球公共云CPU市场份额的实时快照数据，支持按供应商、品牌和架构等多维度分析，适用于市场情报分析和供应链研究。数据每月更新，涵盖主流供应商及自研产品，为市场趋势预测提供客观依据。