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市場調查報告書

商品編碼

2037305

邊緣運算處理器市場預測至2034年－按處理器類型、應用、最終用戶和地區分類的全球分析

Edge Computing Processors Market Forecasts to 2034 - Global Analysis By Processor Type, Application, End User and By Geography

出版日期: 2026年05月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球邊緣運算處理器市場規模將達到 64 億美元，並在預測期內以 34.0% 的複合年成長率成長，到 2034 年將達到 665 億美元。

邊緣運算處理器是一種先進的硬體單元，它無需將資料傳送到遙遠的資料中心，即可在資料來源附近處理和分析資料。它們支援在聯網汽車、製造系統、醫療監控和物聯網網路等應用場景中實現低延遲決策。這些處理器配備了人工智慧功能並針對能源效率進行了最佳化，可在本地運行任務，最大限度地減少對雲端的依賴。這種本地處理方式提高了速度，增強了資料安全性，即使在連接不穩定的環境中也能保持系統效能，從而使邊緣處理器成為全球各行各業現代分散式智慧運算基礎設施的關鍵組成部分。

根據3GPP的說法，邊緣運算可以將5G網路的延遲降低一半到十分之一，從而支援自動駕駛汽車、工業IoT和醫療保健等即時應用。該行業組織的聲明強調，邊緣處理器在更廣泛的通訊和運算生態系統中具有至關重要的技術意義。

對低延遲處理的需求日益成長

對即時數據分析日益成長的需求正顯著推動邊緣運算處理器市場的發展。自動駕駛汽車、虛擬實境 (VR) 和智慧製造等應用場景需要快速反應才能高效運行。由於資料傳輸到集中式伺服器時會產生延遲，基於雲端的系統通常不適用於這些應用。邊緣處理器透過在更靠近資料來源的位置進行資料處理來克服這一限制，從而最大限度地減少延遲。這提高了系統響應速度，提升了生產效率，並確保了更流暢的運作。隨著越來越多的行業將即時性放在首位，預計邊緣運算處理器的應用將在全球各個應用領域穩步擴展。

高昂的初始投資和實施成本

邊緣運算處理器市場面臨諸多挑戰，其中之一就是高昂的初始設定和部署成本。部署邊緣基礎設施需要大量資金投入先進處理器、連接設備、網路系統和配套軟體等方面。與集中式系統不同，邊緣運算需要分散式部署，這進一步增加了資本需求。小規模企業往往難以承擔這些投資，從而限制了邊緣運算技術的普及。除了初始設定成本外，維護、升級和系統擴展等持續性支出也會加重企業的財務負擔。這些成本問題，尤其是在預算敏感型產業，可能會阻礙市場成長，因為企業需要評估採用邊緣運算技術的可行性和長期效益。

工業IoT和自動化技術的進步

工業IoT和自動化技術的快速發展為邊緣運算處理器帶來了巨大的成長機會。現代工業依賴互聯設備和智慧系統來簡化流程並提高營運效率。邊緣處理器能夠在源頭進行即時資料處理，提供快速洞察，並透過預測性維護減少系統停機時間。這有助於提高製造業、物流業和能源業等產業的生產力和營運管理水準。隨著向工業4.0的轉型不斷推進，越來越多的企業開始採用邊緣解決方案。預計這一趨勢將推動對能夠滿足全球工業應用需求的高級處理器的需求。

熟練人員和技術專長短缺

邊緣運算及相關技術領域專業人才的短缺對市場構成重大挑戰。企業需要分散式運算、人工智慧和網路等領域的專家才能有效地部署和管理邊緣處理器。然而，此類人才供應有限，導致企業難以組成合格的團隊。這可能導致部署延遲、成本增加和營運效率低下。員工培訓需要額外的資源和時間。隨著對專業人才的需求持續成長，合格人員的短缺可能會阻礙創新，並減緩邊緣運算處理器解決方案的整體普及。

新型冠狀病毒（COVID-19）的影響：

新冠疫情為邊緣運算處理器市場帶來了挑戰和成長機會。疫情初期，製造業放緩和供應鏈中斷影響了晶片的生產和供應。另一方面，對遠端辦公、數位通訊和雲端服務的日益依賴，推動了對更快、更有效率的資料處理解決方案的需求。隨著各組織機構努力管理不斷成長的資料量並維持效能，邊緣運算的重要性日益凸顯。在醫療保健和電信等行業，邊緣技術被迅速採用以支援關鍵營運。這段時期凸顯了邊緣處理器在強化數位系統和確保業務連續性的重要角色。

在預測期內，中央處理器（CPU）細分市場預計將佔據最大的市場佔有率。

由於中央處理器 (CPU) 具有柔軟性、廣泛的適用性和在現有運算系統中的強大地位，預計在預測期內，CPU 細分市場將佔據最大的市場佔有率。 CPU 被廣泛部署在邊緣設備中，用於管理從基本資料處理到系統調優和應用程式執行的各種工作負載。由於其與現有軟體平台的無縫整合，CPU 在各行各業都備受青睞。 CPU 效能、能源效率和設計的不斷改進，進一步提升了其在邊緣環境中的效能。

預計在預測期內，汽車和交通運輸產業將呈現最高的複合年成長率。

在預測期內，汽車與交通運輸領域預計將呈現最高的成長率，這主要得益於智慧汽車和自動駕駛汽車技術的日益普及。這些系統依賴即時數據分析來實現安全且高效的運行，包括路線最佳化和預防事故。邊緣處理器能夠提供這些應用所需的低延遲處理能力。聯網汽車的興起以及交通系統間通訊技術的進步進一步推動了市場需求。此外，人們對智慧運輸解決方案和先進交通基礎設施的日益關注也促進了這一趨勢。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的技術生態系統和先進數位解決方案的快速普及。該地區受益於主要行業參與者的存在以及對邊緣技術研發的持續投入。物聯網設備的高滲透率和強大的雲端基礎設施進一步加速了市場擴張。醫療保健、交通運輸和電信等行業正日益依賴邊緣運算來實現高效運作。政府的支持性政策和對數位創新的大量資金投入也進一步提升了市場成長前景。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於技術進步和產業擴張。智慧基礎設施、5G網路和連網型設備的快速普及正在推動對邊緣運算解決方案的需求。該地區各國政府積極推動數位化，為市場發展提供了支持。物聯網的普及和快速資料處理的需求也是主要的成長要素。此外，該地區強大的半導體製造基地也為其發展做出了貢獻。

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所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要公司進行SWOT分析（最多3家公司）
區域細分
- 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第9章戰略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第10章：產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第11章：公司簡介

Intel
Nvidia
Qualcomm
HPE
Dell Technologies
AMD
Arm Holdings
Texas Instruments
NXP Semiconductors
Huawei
Advantech
ADLINK Technology
Siemens
Schneider Electric
Lenovo
IBM
Cisco
Microsoft

簡介目錄圖表

Product Code: SMRC35717

According to Stratistics MRC, the Global Edge Computing Processors Market is accounted for $6.4 billion in 2026 and is expected to reach $66.5 billion by 2034 growing at a CAGR of 34.0% during the forecast period. Edge computing processors refer to advanced hardware units that process and analyze data near its point of origin instead of sending it to distant data centers. They support low latency decision making in use cases like connected vehicles, manufacturing systems, healthcare monitoring, and IoT networks. Equipped with AI capabilities and optimized for energy efficiency, these processors execute tasks locally while minimizing cloud dependence. This localized processing enhances speed, strengthens data security, and maintains system performance in environments with unstable connectivity, positioning edge processors as a key component in modern decentralized and intelligent computing infrastructures globally across various sectors and industries.

According to 3GPP, edge computing reduces latency by a factor of 2 to 10 in 5G networks, enabling real-time applications such as autonomous vehicles, industrial IoT, and medicine. This association-backed statement highlights the technical necessity of edge processors in the broader telecommunications and computing ecosystem.

Market Dynamics:

Driver:

Rising demand for low-latency processing

The growing requirement for immediate data analysis is significantly boosting the edge computing processors market. Use cases like self-driving cars, virtual reality, and smart manufacturing depend on rapid response times to function effectively. Cloud-based systems often face delays due to data traveling to centralized servers, making them less suitable for such applications. Edge processors overcome this limitation by processing data near its origin, thereby minimizing delays. This improves system responsiveness, enhances productivity, and ensures smoother operations. As more industries prioritize real-time capabilities, the adoption of edge computing processors is anticipated to expand consistently across diverse application areas globally.

Restraint:

High initial investment and deployment costs

The edge computing processors market faces challenges due to high initial setup and deployment expenses. Implementing edge infrastructure requires substantial spending on advanced processors, connected devices, networking systems, and supporting software. Unlike centralized systems, edge computing demands distributed deployment, which further increases capital requirements. Smaller organizations often struggle to afford such investments, restricting adoption. In addition to setup costs, ongoing expenses related to maintenance, upgrades, and system expansion contribute to the financial burden. These cost-related concerns may hinder market growth, especially in budget-conscious sectors, as businesses assess the feasibility and long-term benefits of adopting edge computing technologies.

Opportunity:

Advancements in industrial IoT and automation

The rapid growth of industrial IoT and automation technologies is opening up significant opportunities for edge computing processors. Modern industries rely on connected equipment and intelligent systems to streamline operations and improve efficiency. Edge processors allow real-time data processing at the source, enabling quick insights and reducing system downtime through predictive maintenance. This enhances productivity and operational control across sectors such as manufacturing, logistics, and energy. As the transition toward Industry 4.0 continues, organizations are increasingly adopting edge solutions. This trend is expected to boost demand for advanced processors designed to meet the requirements of industrial applications worldwide.

Threat:

Limited skilled workforce and technical expertise

A lack of skilled professionals in edge computing and related technologies poses a major challenge for the market. Organizations require experts in areas like distributed computing, artificial intelligence, and networking to effectively deploy and manage edge processors. However, the availability of such talent is limited, making it difficult for companies to build capable teams. This can result in slower implementation, increased costs, and operational inefficiencies. Training employees requires additional resources and time. As demand for expertise continues to grow, the shortage of qualified professionals may restrict innovation and slow the overall adoption of edge computing processor solutions.

Covid-19 Impact:

The outbreak of COVID-19 created both challenges and growth opportunities for the edge computing processors market. Early in the pandemic, manufacturing slowdowns and supply chain interruptions affected chip production and availability. At the same time, increased reliance on remote working, digital communication, and cloud-based services drove demand for faster and more efficient data processing solutions. Edge computing gained traction as organizations sought to manage rising data volumes and maintain performance. Sectors like healthcare and telecom rapidly adopted edge technologies to support critical operations. This period emphasized the role of edge processors in strengthening digital systems and ensuring operational continuity.

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

The central processing units (CPUs) segment is expected to account for the largest market share during the forecast period owing to their flexibility, broad applicability, and strong presence in existing computing systems. They are commonly deployed in edge devices to manage multiple types of workloads, ranging from basic data handling to system coordination and application execution. Their seamless integration with established software platforms makes them highly favourable across industries. Ongoing improvements in CPU performance, energy efficiency, and design have further enhanced their effectiveness in edge scenarios.

The automotive & transportation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the automotive & transportation segment is predicted to witness the highest growth rate, driven by the increasing adoption of smart and autonomous vehicle technologies. These systems rely on immediate data analysis for safe and efficient operation, including route optimization and accident prevention. Edge processors provide the necessary low-latency processing required for such applications. The rise of connected vehicles and communication between transport systems further boosts demand. Growing focus on smart mobility solutions and advanced transportation infrastructure also supports this trend.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to its well-established technology ecosystem and rapid adoption of advanced digital solutions. The region benefits from the presence of major industry players and ongoing investments in research and development of edge technologies. High penetration of IoT devices and strong cloud infrastructure further accelerate market expansion. Industries such as healthcare, transportation, and telecom increasingly rely on edge computing for efficient operations. Supportive government policies and significant funding toward digital innovation enhance growth prospects.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by increasing technological advancements and industrial expansion. Rapid adoption of smart infrastructure, 5G networks, and connected devices is fueling demand for edge computing solutions. Governments across the region are actively promoting digitalization, which supports market development. The widespread use of IoT and the need for quick data processing are also key growth factors. Furthermore, the region's strong semiconductor manufacturing base contributes to its progress.

Key players in the market

Some of the key players in Edge Computing Processors Market include Intel, Nvidia, Qualcomm, HPE, Dell Technologies, AMD, Arm Holdings, Texas Instruments, NXP Semiconductors, Huawei, Advantech, ADLINK Technology, Siemens, Schneider Electric, Lenovo, IBM, Cisco and Microsoft.

Key Developments:

In April 2026, Intel Corp plans to invest an additional $15 million in AI chip startup SambaNova Systems, according to a Reuters review of corporate records, as the semiconductor company deepens its focus on artificial intelligence infrastructure. The proposed investment, which is subject to regulatory approval, would raise Intel's ownership stake in SambaNova to approximately 9%.

In March 2026, NVIDIA and Marvell Technology, Inc. announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion(TM), offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. The companies will also collaborate on silicon photonics technology.

In January 2026, Qualcomm Technologies, Inc. and Hyundai Mobis announced that the companies have signed a comprehensive agreement at CES 2026 to co-develop next-generation solutions for Software-Defined Vehicles (SDV) and Advanced Driver Assistance Systems (ADAS). Through this collaboration, Hyundai Mobis and Qualcomm Technologies will jointly develop integrated solutions tailored for emerging markets.

Processor Types Covered:

Central Processing Units (CPUs)
Graphics Processing Units (GPUs)
Field Programmable Gate Arrays (FPGAs)
Application-Specific Integrated Circuits (ASICs)
Hybrid & Heterogeneous Processors

Applications Covered:

Industrial IoT
Smart Cities & Infrastructure
Automotive & Transportation
Healthcare & Medical Devices
Consumer Electronics
Telecommunications & Networking

End Users Covered:

Enterprises
Cloud Service Providers
Telecom Operators
Original Equipment Manufacturers (OEMs)

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
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

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Edge Computing Processors Market, By Processor Type

5.1 Central Processing Units (CPUs)
5.2 Graphics Processing Units (GPUs)
5.3 Field Programmable Gate Arrays (FPGAs)
5.4 Application-Specific Integrated Circuits (ASICs)
5.5 Hybrid & Heterogeneous Processors

6 Global Edge Computing Processors Market, By Application

6.1 Industrial IoT
6.2 Smart Cities & Infrastructure
6.3 Automotive & Transportation
6.4 Healthcare & Medical Devices
6.5 Consumer Electronics
6.6 Telecommunications & Networking

7 Global Edge Computing Processors Market, By End User

7.1 Enterprises
7.2 Cloud Service Providers
7.3 Telecom Operators
7.4 Original Equipment Manufacturers (OEMs)

8 Global Edge Computing Processors Market, By Geography

8.1 North America
- 8.1.1 United States
- 8.1.2 Canada
- 8.1.3 Mexico
8.2 Europe
- 8.2.1 United Kingdom
- 8.2.2 Germany
- 8.2.3 France
- 8.2.4 Italy
- 8.2.5 Spain
- 8.2.6 Netherlands
- 8.2.7 Belgium
- 8.2.8 Sweden
- 8.2.9 Switzerland
- 8.2.10 Poland
- 8.2.11 Rest of Europe
8.3 Asia Pacific
- 8.3.1 China
- 8.3.2 Japan
- 8.3.3 India
- 8.3.4 South Korea
- 8.3.5 Australia
- 8.3.6 Indonesia
- 8.3.7 Thailand
- 8.3.8 Malaysia
- 8.3.9 Singapore
- 8.3.10 Vietnam
- 8.3.11 Rest of Asia Pacific
8.4 South America
- 8.4.1 Brazil
- 8.4.2 Argentina
- 8.4.3 Colombia
- 8.4.4 Chile
- 8.4.5 Peru
- 8.4.6 Rest of South America
8.5 Rest of the World (RoW)
- 8.5.1 Middle East
  - 8.5.1.1 Saudi Arabia
  - 8.5.1.2 United Arab Emirates
  - 8.5.1.3 Qatar
  - 8.5.1.4 Israel
  - 8.5.1.5 Rest of Middle East
- 8.5.2 Africa
  - 8.5.2.1 South Africa
  - 8.5.2.2 Egypt
  - 8.5.2.3 Morocco
  - 8.5.2.4 Rest of Africa

9 Strategic Market Intelligence

9.1 Industry Value Network and Supply Chain Assessment
9.2 White-Space and Opportunity Mapping
9.3 Product Evolution and Market Life Cycle Analysis
9.4 Channel, Distributor, and Go-to-Market Assessment

10 Industry Developments and Strategic Initiatives

10.1 Mergers and Acquisitions
10.2 Partnerships, Alliances, and Joint Ventures
10.3 New Product Launches and Certifications
10.4 Capacity Expansion and Investments
10.5 Other Strategic Initiatives

11 Company Profiles

11.1 Intel
11.2 Nvidia
11.3 Qualcomm
11.4 HPE
11.5 Dell Technologies
11.6 AMD
11.7 Arm Holdings
11.8 Texas Instruments
11.9 NXP Semiconductors
11.10 Huawei
11.11 Advantech
11.12 ADLINK Technology
11.13 Siemens
11.14 Schneider Electric
11.15 Lenovo
11.16 IBM
11.17 Cisco
11.18 Microsoft

簡介目錄圖表

List of Tables

Table 1 Global Edge Computing Processors Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Edge Computing Processors Market Outlook, By Processor Type (2023-2034) ($MN)
Table 3 Global Edge Computing Processors Market Outlook, By Central Processing Units (CPUs) (2023-2034) ($MN)
Table 4 Global Edge Computing Processors Market Outlook, By Graphics Processing Units (GPUs) (2023-2034) ($MN)
Table 5 Global Edge Computing Processors Market Outlook, By Field Programmable Gate Arrays (FPGAs) (2023-2034) ($MN)
Table 6 Global Edge Computing Processors Market Outlook, By Application-Specific Integrated Circuits (ASICs) (2023-2034) ($MN)
Table 7 Global Edge Computing Processors Market Outlook, By Hybrid & Heterogeneous Processors (2023-2034) ($MN)
Table 8 Global Edge Computing Processors Market Outlook, By Application (2023-2034) ($MN)
Table 9 Global Edge Computing Processors Market Outlook, By Industrial IoT (2023-2034) ($MN)
Table 10 Global Edge Computing Processors Market Outlook, By Smart Cities & Infrastructure (2023-2034) ($MN)
Table 11 Global Edge Computing Processors Market Outlook, By Automotive & Transportation (2023-2034) ($MN)
Table 12 Global Edge Computing Processors Market Outlook, By Healthcare & Medical Devices (2023-2034) ($MN)
Table 13 Global Edge Computing Processors Market Outlook, By Consumer Electronics (2023-2034) ($MN)
Table 14 Global Edge Computing Processors Market Outlook, By Telecommunications & Networking (2023-2034) ($MN)
Table 15 Global Edge Computing Processors Market Outlook, By End User (2023-2034) ($MN)
Table 16 Global Edge Computing Processors Market Outlook, By Enterprises (2023-2034) ($MN)
Table 17 Global Edge Computing Processors Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
Table 18 Global Edge Computing Processors Market Outlook, By Telecom Operators (2023-2034) ($MN)
Table 19 Global Edge Computing Processors Market Outlook, By Original Equipment Manufacturers (OEMs) (2023-2034) ($MN)