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1813451

2032 年人工智慧組件轉售市場預測：按組件類型、轉售類型、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧組件轉售市場預計在 2025 年達到 23.6 億美元，到 2032 年將達到 53.4 億美元，預測期內的複合年成長率為 12.4%。

AI組件轉售是一種商業性行為，即從原始開發人員或製造商獲取人工智慧硬體、軟體模組和系統元素（例如晶片、感測器、演算法和預訓練模型），並將其分發給最終用戶和整合商。這種模式允許第三方供應商無需內部研發投入即可提供先進的AI功能。轉售商可以根據特定的市場需求對組件進行品牌重塑、捆綁和客製化，從而促進各行各業的廣泛採用，同時確保符合許可和性能標準。

隨著技術迅速過時，人工智慧的應用正在各個行業擴展

隨著技術創新週期的縮短，許多組織都在更頻繁地升級其系統，導致庫存過剩或過時。這種快速的淘汰催生了一個強勁的次市場， GPU、TPU 和神經處理器等組件被轉售給注重成本的買家。新興企業和中小型企業希望以經濟實惠的方式獲得 AI 功能，而無需投資自有硬體，這進一步加劇了這一趨勢，從而推動了市場成長。

高需求零件供應有限

儘管需求不斷成長，但包括先進專用積體電路 (ASIC)、量子處理器和高頻寬記憶體模組在內的頂級人工智慧元件的供應仍然受限。供應鏈瓶頸、地緣政治緊張局勢以及敏感技術的出口限制加劇了供不應求。此外，製造商通常優先考慮直接向原始設備製造商 (OEM) 銷售，這限制了可供轉售的數量。這種供需失衡可能會推高價格，並阻礙市場擴充性，尤其對於規模較小的經銷商和整合商。

專業轉售和翻新服務的進步

新興企業正透過提供測試、重新配置和保固轉售等附加價值服務，抓住市場對認證二手人工智慧組件的需求。這些平台透過透明的採購、性能檢驗和遵守國際標準來建立信任。組件分級、生命週期追蹤和預測性故障分析的創新正在增強買家信心。此外，區塊鏈的可追溯性和智慧合約的轉售交易整合正在再形成轉售格局。

IP及資料安全風險及監理監控

人工智慧元件的轉售通常包含專有韌體、嵌入式演算法和資料敏感模組，這引發了人們對智慧財產權侵權和網路安全的擔憂。未經授權的再分發或竄改嵌入式軟體可能會使購買者面臨法律責任和操作漏洞。監管機構正在加強對人工智慧硬體跨境轉售的限制，尤其是在國防、監控和關鍵基礎設施應用領域。遵守出口法、資料保護條例和道德採購標準正成為進入市場的先決條件。

COVID-19的影響：

疫情擾亂了全球供應鏈，導致零件短缺和運輸延誤。然而，它也加速了數位轉型，並鼓勵企業大規模採用人工智慧解決方案。隨著預算緊縮，許多公司轉向轉售市場尋求經濟高效的採購。專門從事人工智慧組件轉售的線上平台流量激增，遠距離診斷和虛擬測試成為標準做法，進一步刺激了對翻新邊緣人工智慧設備和模組化系統的需求。

預計中央處理器 (CPU) 部分將成為預測期內最大的部分

中央處理器 (CPU) 領域預計將在預測期內佔據最大的市場佔有率，因為它在人工智慧工作負載和系統編配中發揮著重要作用。它在推理、訓練和通用計算方面的多功能性使其在經銷商中廣受歡迎。升級到新架構的開發人員通常會大量丟棄舊版 CPU，然後重新分配給教育機構、新興企業和嵌入式系統開發人員。

預計剩餘庫存轉售部分將在預測期內實現最高複合年成長率

預計在預測期內，剩餘庫存轉售領域將錄得最高成長率，這得益於高品質零件的折扣供應，這些零件對注重預算的買家具有吸引力。供應商正在利用預測分析技術，在產品生命週期的早期識別轉售機會，從而最佳化殘值。此模式透過延長零件壽命和減少電子廢棄物，支持循環經濟的原則。預計剩餘人工智慧庫存（包括未使用、積壓或停產的零件）的轉售將以最快的速度成長。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的人工智慧生態系統和強大的科技巨頭影響力。該地區受益於強大的基礎設施、高額的研發投入以及成熟的經銷商和維修網路。清晰的監管和優惠的稅收制度也支持了二級市場的運作。此外，人工智慧新興企業和學術機構的激增，也對價格實惠、高性能的組件產生了持續的需求。

複合年成長率最高的地區：

在預測期內，由於快速的工業化、數位化以及新興經濟體對人工智慧的日益普及，亞太地區預計將實現最高的複合年成長率。中國、印度和韓國等國家正在大力投資人工智慧基礎設施，從而創造了一個充滿活力的零件轉售市場。當地製造商和經銷商正在結成策略聯盟，以利用跨國公司的過剩庫存。政府為促進技術可及性和循環經濟實踐而採取的措施正在進一步推動該地區的成長。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球人工智慧組件轉售市場（按組件類型）

  • GPU（圖形處理單元）
    • 高階資料中心 GPU（例如 NVIDIA A100、H100）
    • 中階和桌面 GPU
    • 二手及翻新產品
  • CPU（中央處理器）
  • TPU（張量處理單元）
  • 神經型態晶片
  • FPGA（現場可程式化閘陣列）
  • 記憶體和儲存組件
  • 其他組件類型

6. 全球人工智慧組件轉售市場（按轉售類型）

  • 再製造零件
  • 電子廢棄物收集與回收
  • 轉售過剩庫存
  • 次市場分銷
  • 其他轉售類型

7. 全球人工智慧組件轉售市場（按應用）

  • 深度學習訓練
  • 雲端和資料中心推理
  • 邊緣AI推理
  • 高效能運算 (HPC)
  • 其他用途

8. 全球人工智慧組件轉售市場（按最終用戶）

  • 雲端服務供應商和超大規模資料中心業者
  • 政府和國防
  • 公司
  • 學術研究機構
  • Start-Ups和小型企業
  • 其他最終用戶

9. 全球人工智慧組件轉售市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章 公司概況

  • 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.