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市场调查报告书
商品编码
1813451

2032 年人工智慧组件转售市场预测：按组件类型、转售类型、应用、最终用户和地区进行的全球分析

AI Component Resale Market Forecasts to 2032 - Global Analysis By Component Type (GPUs, CPUs, TPUs, Neuromorphic Chips, FPGAs, Memory and Storage Components and Other Component Types), Resale Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧组件转售市场预计在 2025 年达到 23.6 亿美元，到 2032 年将达到 53.4 亿美元，预测期内的复合年增长率为 12.4%。

AI组件转售是一种商业性行为，即从原始开发人员或製造商获取人工智慧硬体、软体模组和系统元素（例如晶片、感测器、演算法和预训练模型），并将其分发给最终用户和整合商。这种模式允许第三方供应商无需内部研发投入即可提供先进的AI功能。转售商可以根据特定的市场需求对组件进行品牌重塑、捆绑和定制，从而促进各行各业的广泛采用，同时确保符合许可和性能标准。

随着技术迅速过时，人工智慧的应用正在各个行业扩展

随着技术创新週期的缩短，许多组织都在更频繁地升级其係统，导致库存过剩或过时。这种快速的淘汰催生了一个强劲的次市场， GPU、TPU 和神经处理器等组件被转售给注重成本的买家。新兴企业和中小型企业希望以经济实惠的方式获得 AI 功能，而无需投资自有硬件，这进一步加剧了这一趋势，从而推动了市场成长。

高需求零件供应有限

儘管需求不断增长，但包括先进专用积体电路 (ASIC)、量子处理器和高频宽记忆体模组在内的顶级人工智慧元件的供应仍然受限。供应链瓶颈、地缘政治紧张局势以及敏感技术的出口限制加剧了供不应求。此外，製造商通常优先考虑直接向原始设备製造商 (OEM) 销售，这限制了可供转售的数量。这种供需失衡可能会推高价格，并阻碍市场扩充性，尤其对于规模较小的经销商和整合商。

专业转售和翻新服务的进步

新兴企业正透过提供测试、重新配置和保固转售等附加价值服务，抓住市场对认证二手人工智慧组件的需求。这些平台透过透明的采购、性能检验和遵守国际标准来建立信任。组件分级、生命週期追踪和预测性故障分析的创新正在增强买家信心。此外，区块链的可追溯性和智能合约的转售交易整合正在再形成转售格局。

IP及资料安全风险及监理监控

人工智慧元件的转售通常包含专有韧体、嵌入式演算法和资料敏感模组，这引发了人们对智慧财产权侵权和网路安全的担忧。未经授权的再分发或窜改嵌入式软体可能会使购买者面临法律责任和操作漏洞。监管机构正在加强对人工智慧硬体跨境转售的限制，尤其是在国防、监控和关键基础设施应用领域。遵守出口法、资料保护条例和道德采购标准正成为进入市场的先决条件。

COVID-19的影响：

疫情扰乱了全球供应链，导致零件短缺和运输延误。然而，它也加速了数位转型，并鼓励企业大规模采用人工智慧解决方案。随着预算紧缩，许多公司转向转售市场寻求经济高效的采购。专门从事人工智慧组件转售的线上平台流量激增，远距离诊断和虚拟测试成为标准做法，进一步刺激了对翻新边缘人工智慧设备和模组化系统的需求。

预计中央处理器 (CPU) 部分将成为预测期内最大的部分

中央处理器 (CPU) 领域预计将在预测期内占据最大的市场份额，因为它在人工智慧工作负载和系统编配中发挥着重要作用。它在推理、训练和通用计算方面的多功能性使其在经销商中广受欢迎。升级到新架构的开发人员通常会大量丢弃旧版 CPU，然后重新分配给教育机构、新兴企业和嵌入式系统开发人员。

预计剩余库存转售部分将在预测期内实现最高复合年增长率

预计在预测期内，剩余库存转售领域将录得最高成长率，这得益于高品质零件的折扣供应，这些零件对注重预算的买家具有吸引力。供应商正在利用预测分析技术，在产品生命週期的早期识别转售机会，从而优化残值。此模式透过延长零件寿命和减少电子废弃物，支持循环经济的原则。预计剩余人工智慧库存（包括未使用、积压或停产的零件）的转售将以最快的速度成长。

占比最大的地区：

在预测期内，北美预计将占据最大的市场份额，这得益于其成熟的人工智慧生态系统和强大的科技巨头影响力。该地区受益于强大的基础设施、高额的研发投入以及成熟的经销商和维修网路。清晰的监管和优惠的税收制度也支持了二级市场的运作。此外，人工智慧新兴企业和学术机构的激增，也对价格实惠、高性能的组件产生了持续的需求。

复合年增长率最高的地区：

在预测期内，由于快速的工业化、数位化以及新兴经济体对人工智慧的日益普及，亚太地区预计将实现最高的复合年增长率。中国、印度和韩国等国家正在大力投资人工智慧基础设施，从而创造了一个充满活力的零件转售市场。当地製造商和经销商正在结成策略联盟，以利用跨国公司的过剩库存。政府为促进技术可及性和循环经济实践而采取的措施正在进一步推动该地区的成长。

免费客製化服务：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧组件转售市场（按组件类型）

  • GPU（图形处理单元）
    • 高阶资料中心 GPU（例如 NVIDIA A100、H100）
    • 中阶和桌面 GPU
    • 二手及翻新产品
  • CPU（中央处理器）
  • TPU（张量处理单元）
  • 神经型态晶片
  • FPGA（现场可程式化闸阵列）
  • 记忆体和储存组件
  • 其他组件类型

6. 全球人工智慧组件转售市场（按转售类型）

  • 再製造零件
  • 电子废弃物收集与回收
  • 转售过剩库存
  • 次市场分销
  • 其他转售类型

7. 全球人工智慧组件转售市场（按应用）

  • 深度学习训练
  • 云端和资料中心推理
  • 边缘AI推理
  • 高效能运算 (HPC)
  • 其他用途

8. 全球人工智慧组件转售市场（按最终用户）

  • 云端服务供应商和超大规模资料中心业者
  • 政府和国防
  • 公司
  • 学术研究机构
  • Start-Ups和小型企业
  • 其他最终用户

9. 全球人工智慧组件转售市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • Arrow Electronics
  • Avnet Inc.
  • Newegg Business
  • Insight Enterprises
  • Tech Data
  • Microsemi
  • Mouser Electronics
  • Digi-Key Electronics
  • Future Electronics
  • Allied Electronics & Automation
  • WPG Holdings
  • RS Group plc
  • Premier Farnell
  • ASUS AI Resale Division
  • NVIDIA Certified Resellers
  • Intel Authorized Distributors
  • AI Components Direct
  • Refurb.io
  • CDW Corporation
Product Code: SMRC30900

According to Stratistics MRC, the Global AI Component Resale Market is accounted for $2.36 billion in 2025 and is expected to reach $5.34 billion by 2032 growing at a CAGR of 12.4% during the forecast period. AI component resale is the commercial practice of acquiring artificial intelligence hardware, software modules, or system elements such as chips, sensors, algorithms, or pre-trained models from original developers or manufacturers and distributing them to end-users or integrators. This model enables third-party vendors to offer advanced AI capabilities without internal R&D investment. Resellers may rebrand, bundle, or customize components to suit specific market needs, facilitating broader adoption across industries while maintaining compliance with licensing and performance standards.

Market Dynamics:

Driver:

Growing adoption of AI across industries with rapid obsolescence of technology

As innovation cycles shorten, many organizations are upgrading systems frequently, leading to surplus and obsolete inventories. This rapid obsolescence creates a robust secondary market for resale, where components like GPUs, TPUs, and neural processors are redistributed to cost-sensitive buyers. The trend is further amplified by startups and SMEs seeking affordable access to AI capabilities without investing in proprietary hardware propelling the market growth.

Restraint:

Limited supply of high-demand components

Despite growing demand, the availability of top-tier AI components such as advanced ASICs, quantum processors, and high-bandwidth memory modules remains constrained. Supply chain bottlenecks, geopolitical tensions, and export restrictions on sensitive technologies have exacerbated shortages. Additionally, manufacturers often prioritize direct sales to OEMs, limiting the volume available for resale. This imbalance between demand and supply can inflate prices and hinder market scalability, especially for smaller resellers and integrators.

Opportunity:

Advancements in specialized resale and refurbishment services

Emerging players are capitalizing on the need for certified, pre-owned AI components by offering value-added services such as testing, reconfiguration, and warranty-backed resale. These platforms are building trust through transparent sourcing, performance validation, and compliance with international standards. Innovations in component grading, lifecycle tracking, and predictive failure analytics are enhancing buyer confidence. Moreover, the integration of blockchain for traceability and smart contracts for resale transactions is reshaping the resale landscape.

Threat:

IP and data security risks & regulatory scrutiny

The resale of AI components often involves proprietary firmware, embedded algorithms, or data-sensitive modules, raising concerns around IP infringement and cybersecurity. Unauthorized redistribution or tampering with embedded software can expose buyers to legal liabilities and operational vulnerabilities. Regulatory bodies are tightening controls on cross-border resale of AI hardware, especially in defense, surveillance, and critical infrastructure applications. Compliance with export laws, data protection regulations, and ethical sourcing standards is becoming a prerequisite for market participation.

Covid-19 Impact:

The pandemic disrupted global supply chains, leading to component shortages and delayed shipments. However, it also accelerated digital transformation, prompting enterprises to adopt AI-driven solutions at scale. As budgets tightened, many turned to resale markets for cost-effective procurement. Online platforms specializing in AI component resale saw increased traffic, with remote diagnostics and virtual testing becoming standard practice further boosted demand for refurbished edge AI devices and modular systems.

The CPUs (central processing units) segment is expected to be the largest during the forecast period

The CPUs (central processing units) segment is expected to account for the largest market share during the forecast period due to their foundational role in AI workloads and system orchestration. Their versatility across inference, training, and general-purpose computing makes them highly sought after in resale channels. Enterprises upgrading to newer architectures often release large volumes of legacy CPUs, which are then redistributed to educational institutions, startups, and embedded system developers.

The surplus inventory resale segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the surplus inventory resale segment is predicted to witness the highest growth rate thriving on the availability of high-quality parts at discounted prices, appealing to budget-conscious buyers. Vendors are leveraging predictive analytics to identify resale potential early in the product lifecycle, optimizing recovery value. The model supports circular economy principles by extending component lifespans and reducing electronic waste. The resale of surplus AI inventory comprising unused, overstocked, or discontinued components is projected to grow at the fastest rate.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by its mature AI ecosystem and strong presence of technology giants. The region benefits from robust infrastructure, high R&D investments, and a well-established network of resellers and refurbishers. Regulatory clarity and favorable tax policies also support secondary market operations. Additionally, the proliferation of AI startups and academic institutions creates consistent demand for affordable, high-performance components.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid industrialization, digitalization, and expanding AI adoption across emerging economies. Countries like China, India, and South Korea are investing heavily in AI infrastructure, creating a vibrant resale market for components. Local manufacturers and distributors are forming strategic alliances to tap into surplus inventories from global players. Government initiatives promoting tech accessibility and circular economy practices are further propelling regional growth.

Key players in the market

Some of the key players in AI Component Resale Market include Arrow Electronics, Avnet Inc., Newegg Business, Insight Enterprises, Tech Data, Microsemi, Mouser Electronics, Digi-Key Electronics, Future Electronics, Allied Electronics & Automation, WPG Holdings, RS Group plc, Premier Farnell, ASUS AI Resale Division, NVIDIA Certified Resellers, Intel Authorized Distributors, AI Components Direct, Refurb.io, and CDW Corporation.

Key Developments:

In June 2025, ASUS unveiled an enterprise AI ecosystem and AI POD/AI Hub solutions at Computex 2025, showcasing AI infrastructure and partner resale programs. ASUS's 2025 press emphasizes enabling AI-ready infrastructure across partners and resellers.

In March 2025, TD SYNNEX (Tech Data brand) announced the launch of Tech Data Capital in India to provide partner financing and enable partner growth. The item is part of TD SYNNEX's 2025 regional product/service rollouts supporting channel finance and partner enablement.

In January 2025, Mouser Electronics expanded its global distribution agreement with Eaton's electrical business (new manufacturer partnership).

Component Types Covered:

  • GPUs (Graphics Processing Units)
  • CPUs (Central Processing Units)
  • TPUs (Tensor Processing Units)
  • Neuromorphic Chips
  • FPGAs (Field-Programmable Gate Arrays)
  • Memory and Storage Components
  • Other Component Types

Resale Types Covered:

  • Refurbished Components
  • E-waste Recovery & Reuse
  • Surplus Inventory Resale
  • Secondary Market Distribution
  • Other Resale Types

Applications Covered:

  • Deep Learning Training
  • Cloud & Data Center Inference
  • Edge AI Inference
  • High-Performance Computing (HPC)
  • Other Applications

End Users Covered:

  • Cloud Service Providers & Hyperscalers
  • Government and Defense
  • Enterprises
  • Academic & Research Institutions
  • Startups & SMEs
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Component Resale Market, By Component Type

  • 5.1 Introduction
  • 5.2 GPUs (Graphics Processing Units)
    • 5.2.1 High-end Data Center GPUs (e.g., NVIDIA A100, H100)
    • 5.2.2 Mid-range and Desktop GPUs
    • 5.2.3 Used vs. Refurbished
  • 5.3 CPUs (Central Processing Units)
  • 5.4 TPUs (Tensor Processing Units)
  • 5.5 Neuromorphic Chips
  • 5.6 FPGAs (Field-Programmable Gate Arrays)
  • 5.7 Memory and Storage Components
  • 5.8 Other Component Types

6 Global AI Component Resale Market, By Resale Type

  • 6.1 Introduction
  • 6.2 Refurbished Components
  • 6.3 E-waste Recovery & Reuse
  • 6.4 Surplus Inventory Resale
  • 6.5 Secondary Market Distribution
  • 6.6 Other Resale Types

7 Global AI Component Resale Market, By Application

  • 7.1 Introduction
  • 7.2 Deep Learning Training
  • 7.3 Cloud & Data Center Inference
  • 7.4 Edge AI Inference
  • 7.5 High-Performance Computing (HPC)
  • 7.6 Other Applications

8 Global AI Component Resale Market, By End User

  • 8.1 Introduction
  • 8.2 Cloud Service Providers & Hyperscalers
  • 8.3 Government and Defense
  • 8.4 Enterprises
  • 8.5 Academic & Research Institutions
  • 8.6 Startups & SMEs
  • 8.7 Other End Users

9 Global AI Component Resale Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Arrow Electronics
  • 11.2 Avnet Inc.
  • 11.3 Newegg Business
  • 11.4 Insight Enterprises
  • 11.5 Tech Data
  • 11.6 Microsemi
  • 11.7 Mouser Electronics
  • 11.8 Digi-Key Electronics
  • 11.9 Future Electronics
  • 11.10 Allied Electronics & Automation
  • 11.11 WPG Holdings
  • 11.12 RS Group plc
  • 11.13 Premier Farnell
  • 11.14 ASUS AI Resale Division
  • 11.15 NVIDIA Certified Resellers
  • 11.16 Intel Authorized Distributors
  • 11.17 AI Components Direct
  • 11.18 Refurb.io
  • 11.19 CDW Corporation

List of Tables

  • Table 1 Global AI Component Resale Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Component Resale Market Outlook, By Component Type (2024-2032) ($MN)
  • Table 3 Global AI Component Resale Market Outlook, By GPUs (Graphics Processing Units) (2024-2032) ($MN)
  • Table 4 Global AI Component Resale Market Outlook, By High-end Data Center GPUs (e.g., NVIDIA A100, H100) (2024-2032) ($MN)
  • Table 5 Global AI Component Resale Market Outlook, By Mid-range and Desktop GPUs (2024-2032) ($MN)
  • Table 6 Global AI Component Resale Market Outlook, By Used vs. Refurbished (2024-2032) ($MN)
  • Table 7 Global AI Component Resale Market Outlook, By CPUs (Central Processing Units) (2024-2032) ($MN)
  • Table 8 Global AI Component Resale Market Outlook, By TPUs (Tensor Processing Units) (2024-2032) ($MN)
  • Table 9 Global AI Component Resale Market Outlook, By Neuromorphic Chips (2024-2032) ($MN)
  • Table 10 Global AI Component Resale Market Outlook, By FPGAs (Field-Programmable Gate Arrays) (2024-2032) ($MN)
  • Table 11 Global AI Component Resale Market Outlook, By Memory and Storage Components (2024-2032) ($MN)
  • Table 12 Global AI Component Resale Market Outlook, By Other Component Types (2024-2032) ($MN)
  • Table 13 Global AI Component Resale Market Outlook, By Resale Type (2024-2032) ($MN)
  • Table 14 Global AI Component Resale Market Outlook, By Refurbished Components (2024-2032) ($MN)
  • Table 15 Global AI Component Resale Market Outlook, By E-waste Recovery & Reuse (2024-2032) ($MN)
  • Table 16 Global AI Component Resale Market Outlook, By Surplus Inventory Resale (2024-2032) ($MN)
  • Table 17 Global AI Component Resale Market Outlook, By Secondary Market Distribution (2024-2032) ($MN)
  • Table 18 Global AI Component Resale Market Outlook, By Other Resale Types (2024-2032) ($MN)
  • Table 19 Global AI Component Resale Market Outlook, By Application (2024-2032) ($MN)
  • Table 20 Global AI Component Resale Market Outlook, By Deep Learning Training (2024-2032) ($MN)
  • Table 21 Global AI Component Resale Market Outlook, By Cloud & Data Center Inference (2024-2032) ($MN)
  • Table 22 Global AI Component Resale Market Outlook, By Edge AI Inference (2024-2032) ($MN)
  • Table 23 Global AI Component Resale Market Outlook, By High-Performance Computing (HPC) (2024-2032) ($MN)
  • Table 24 Global AI Component Resale Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 25 Global AI Component Resale Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global AI Component Resale Market Outlook, By Cloud Service Providers & Hyperscalers (2024-2032) ($MN)
  • Table 27 Global AI Component Resale Market Outlook, By Government and Defense (2024-2032) ($MN)
  • Table 28 Global AI Component Resale Market Outlook, By Enterprises (2024-2032) ($MN)
  • Table 29 Global AI Component Resale Market Outlook, By Academic & Research Institutions (2024-2032) ($MN)
  • Table 30 Global AI Component Resale Market Outlook, By Startups & SMEs (2024-2032) ($MN)
  • Table 31 Global AI Component Resale Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.