AI加速模组市场报告：2031年趋势、预测与竞争分析

全球AI加速模组市场未来前景看好，受惠于工业、智慧穿戴设备、智慧家庭、汽车等市场机会。预计全球人工智慧加速模组市场在 2025 年至 2031 年期间的复合年增长率将达到 33.2%。该市场的主要驱动因素是对专用硬体加速的需求不断增长、对人工智慧应用中更快、更有效率的处理的需求不断增长，以及对边缘设备中用于即时处理的人工智慧加速模组的需求不断增长。

• 根据 Lucintel 的预测，基于类型，迷你市场预计在预测期内将实现高速成长。
• 从应用来看，预计工业将实现最高成长。
• 根据地区来看，预计亚太地区将在预测期内实现最高成长。

AI加速模组市场的策略成长机会

AI加速模组市场在各个应用领域呈现多个策略成长机会。可以利用这些机会来满足多样化的需求并推动市场创新和扩张。

• 扩展到自动驾驶汽车：AI加速模组对于自动驾驶汽车系统的开发至关重要，支援即时资料处理和决策。随着汽车产业采用人工智慧技术，该应用代表着巨大的成长机会。
• 资料中心成长：资料中心的扩展以支援 AI 工作负载，为 AI 加速模组提供者创造了机会。对云端基础的AI 服务日益增长的需求正在推动对先进、可扩展的加速解决方案的需求。
• 医疗保健 AI 的进步：AI 加速模组在推进诊断成像和个人化医疗等医疗保健应用方面发挥关键作用。该领域的发展为开发特定于医疗用例的模组提供了机会。
• 智慧城市发展：AI加速模组对于交通管理和公共系统等智慧城市计画至关重要。城市基础设施对高效、可扩展解决方案的需求正在推动该领域的成长机会。
• 与5G技术的整合：5G网路的部署为AI加速模组创造了机会，以支援高速资料处理和低延迟应用。与5G的结合将增强各领域的AI解决方案的能力。

这些策略成长机会凸显了AI加速模组的多样化应用，并凸显了创新和市场扩张的潜力。利用这些机会将推动AI加速模组产业的进一步进步和成长。

AI加速模组市场驱动因素与挑战

AI加速模组市场受到各种技术、经济和监管因素的影响。了解这些市场驱动因素和挑战对于驾驭市场和抓住机会至关重要。

AI加速模组市场受以下因素驱动：

• 人工智慧技术的进步：人工智慧演算法和应用的快速发展将推动对更强大的加速模组的需求。这些技术进步需要能够有效处理复杂计算的硬体。
• 资料量不断增加：各行各业产生的资料量不断增加，推动了对人工智慧加速模组的需求，以便快速处理和分析大型资料集，增强资料驱动的决策。
• 各行业对人工智慧的应用日益增多：汽车、医疗保健和金融等行业对人工智慧的广泛应用正在推动对专用加速模组的需求，以支援多样化的人工智慧应用和工作负载。
• 硬体创新：TPU、FPGA等硬体技术的持续创新将提升效能与效率，推动AI加速解决方案的进一步普及。
• 云端运算服务的扩展：云端运算服务的扩展正在推动对支援可扩展、灵活的高效能运算和资料处理解决方案的AI加速模组的需求。

AI加速模组市场面临的挑战如下：

• 开发成本高：开发先进的人工智慧加速模组需要大量的研究、製造和测试成本，这可能会对市场新参与企业和小型企业造成阻碍。
• 快速的技术创新：技术进步的快速步伐需要不断创新和更新，挑战企业跟上最新发展并保持竞争优势。
• 法规遵循：遵守GDPR等资料隐私和安全法规可能会影响AI加速模组的设计和部署，给市场参与者带来挑战。

这些驱动因素和挑战塑造了AI加速模组市场并影响其成长和发展。解决这些因素对于企业在不断发展的人工智慧技术领域取得成功和发展至关重要。

目录

第一章执行摘要

第二章 全球AI加速模组市场：市场动态

• 简介、背景和分类
• 供应链
• 产业驱动力与挑战

第三章市场趋势与预测分析（2019-2031）

• 宏观经济趋势（2019-2024）及预测（2025-2031）
• 全球AI加速模组市场趋势（2019-2024）及预测（2025-2031）
• 全球AI加速模组市场类型
  • 小型的
  • 小的
• 全球人工智慧加速模组市场（按应用）
  • 产业
  • 智慧型穿戴装置
  • 智慧家庭
  • 车
  • 其他的

第四章区域市场趋势与预测分析（2019-2031）

• 全球人工智慧加速模组市场（按区域）
• 北美AI加速模组市场
• 欧洲AI加速模组市场
• 亚太地区AI加速模组市场
• 世界其他地区AI加速模组市场

第五章 竞争分析

• 产品系列分析
• 营运整合
• 波特五力分析

第六章 成长机会与策略分析

• 成长机会分析
  • 全球人工智慧加速模组市场成长机会（按类型）
  • 全球人工智慧加速模组市场成长机会（按应用）
  • 全球人工智慧加速模组市场成长机会（按地区）
• 全球AI加速模组市场的新趋势
• 战略分析
  • 新产品开发
  • 全球AI加速模组市场容量不断扩大
  • 全球AI加速模组市场的併购与合资
  • 认证和许可

第七章主要企业简介

• Murata
• Advantech
• Kneron
• Xilinx
• Hailo
• Edgecortix
• Roviero
• FlexLogix
• Architek
• Expedera

The future of the global AI acceleration module market looks promising with opportunities in the industrial, smart wearable device, smart home, and automobile markets. The global AI acceleration module market is expected to grow with a CAGR of 33.2% from 2025 to 2031. The major drivers for this market are increasing demand for specialized hardware acceleration, growing need for faster processing & improved efficiency in AI applications, and rising demand for AI acceleration modules in edge devices for real-time processing.

• Lucintel forecasts that, within the type category mini segment is expected to witness higher growth over the forecast period.
• Within the application category, industrial is expected to witness the highest growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI Acceleration Module Market

The AI acceleration module market is evolving with several emerging trends that reflect the industry's response to increasing demands for performance, efficiency, and specialized solutions. These trends are reshaping how AI acceleration modules are developed and utilized.

• Integration with Edge Computing: AI acceleration modules are increasingly being integrated with edge computing devices to enable real-time data processing and reduce latency. This trend supports applications in IoT and smart devices, enhancing the performance and responsiveness of AI solutions.
• Focus on Energy Efficiency: There is a growing emphasis on developing energy-efficient AI acceleration modules to address the high power consumption associated with AI computations. Innovations in low-power designs help reduce operational costs and minimize environmental impact.
• Advancements in Quantum Computing: Quantum computing is emerging as a potential disruptor in AI acceleration. While still in its early stages, advancements in quantum processors could offer new capabilities for complex AI computations, potentially transforming the industry.
• Development of Custom AI Chips: The market is seeing a rise in custom AI chips tailored to specific applications and workloads. These custom solutions offer optimized performance and efficiency for targeted AI tasks, driving innovation in specialized AI hardware.
• Increased Focus on Scalability: Scalability is becoming a key consideration in AI acceleration modules, with developments aimed at creating modular and flexible solutions that can easily adapt to growing computational demands and diverse application scenarios.

These emerging trends are reshaping the AI acceleration module market by driving innovations in performance, efficiency, and customization. As these trends continue to evolve, they will significantly impact the development and deployment of AI acceleration technologies across various applications.

Recent Developments in the AI Acceleration Module Market

Recent key developments in the AI acceleration module market highlight significant advancements in technology and performance. These developments are driving the evolution of AI acceleration solutions to meet the growing demands of AI applications.

• Introduction of Advanced TPUs: New generations of Tensor Processing Units (TPUs) have been introduced, offering enhanced performance for deep learning tasks. These TPUs provide faster processing speeds and improved energy efficiency, supporting more complex AI models.
• Emergence of Custom AI Chips: Companies are developing custom AI chips tailored to specific applications, such as natural language processing and computer vision. These chips offer optimized performance and efficiency for targeted AI tasks, driving innovation in the market.
• Advancements in FPGA Technology: Field-Programmable Gate Arrays (FPGAs) are being enhanced to support AI acceleration with increased processing power and flexibility. Recent developments include improved architectures that enable faster and more efficient AI computations.
• Integration with Cloud Platforms: AI acceleration modules are increasingly being integrated with cloud computing platforms, providing scalable and flexible solutions for AI workloads. This integration supports high-performance computing and enhances accessibility for various applications.
• Focus on Low-Power Designs: New AI acceleration modules are being designed with a focus on reducing power consumption while maintaining high performance. This trend addresses the growing need for energy-efficient solutions in AI applications.

These key developments are advancing the AI acceleration module market by enhancing performance, customization, and energy efficiency. These innovations are crucial for supporting the growing demands of AI technologies and driving further advancements in the field.

Strategic Growth Opportunities for AI Acceleration Module Market

The AI acceleration module market presents several strategic growth opportunities across various applications. Leveraging these opportunities can drive innovation and expansion in the market, addressing diverse needs and demands.

• Expansion into Autonomous Vehicles: AI acceleration modules are critical for the development of autonomous vehicle systems, supporting real-time data processing and decision-making. This application presents significant growth opportunities as the automotive industry embraces AI technology.
• Growth in Data Centers: The expansion of data centers to support AI workloads offers opportunities for AI acceleration module providers. Increasing demand for cloud-based AI services drives the need for advanced and scalable acceleration solutions.
• Advancements in Healthcare AI: AI acceleration modules are playing a key role in advancing healthcare applications, such as diagnostic imaging and personalized medicine. Growth in this sector presents opportunities for specialized modules tailored to medical use cases.
• Development of Smart Cities: AI acceleration modules are essential for smart city initiatives, including traffic management and public safety systems. The need for efficient and scalable solutions in urban infrastructure drives growth opportunities in this area.
• Integration with 5G Technology: The rollout of 5G networks is creating opportunities for AI acceleration modules that support high-speed data processing and low-latency applications. Integration with 5G enhances the capabilities of AI solutions across various sectors.

These strategic growth opportunities highlight the diverse applications of AI acceleration modules and underscore the potential for innovation and market expansion. Capitalizing on these opportunities will drive further advancements and growth in the AI acceleration module industry.

AI Acceleration Module Market Driver and Challenges

The AI acceleration module market is influenced by various technological, economic, and regulatory factors. Understanding these drivers and challenges is crucial for navigating the market and leveraging opportunities.

The factors responsible for driving the AI acceleration module market include:

• Advancements in AI Technology: Rapid advancements in AI algorithms and applications drive the demand for more powerful acceleration modules. These innovations require hardware capable of handling complex computations efficiently.
• Growing Data Volume: The increasing volume of data generated across industries fuels the need for AI acceleration modules to process and analyze large datasets quickly, enhancing data-driven decision-making.
• Increased Adoption of AI Across Sectors: The widespread adoption of AI in sectors like automotive, healthcare, and finance drives the demand for specialized acceleration modules that support diverse AI applications and workloads.
• Technological Innovations in Hardware: Ongoing innovations in hardware technologies, such as TPUs and FPGAs, enhance performance and efficiency, driving further adoption of AI acceleration solutions.
• Expansion of Cloud Computing Services: The growth of cloud computing services creates demand for AI acceleration modules that support scalable and flexible solutions for high-performance computing and data processing.

Challenges in the AI acceleration module market are:

• High Development Costs: Developing advanced AI acceleration modules involves significant costs related to research, production, and testing, which can be a barrier for new entrants and smaller players in the market.
• Rapid Technological Changes: The fast pace of technological advancements requires continuous innovation and updates, posing challenges for companies to keep up with the latest developments and maintain a competitive edge.
• Regulatory Compliance: Compliance with data privacy and security regulations, such as GDPR, can impact the design and deployment of AI acceleration modules, creating challenges for market players.

These drivers and challenges shape the AI acceleration module market, influencing its growth and development. Addressing these factors is essential for companies to succeed and thrive in the evolving landscape of AI technology.

List of AI Acceleration Module Companies

Companies in the market compete based on product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI acceleration module companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI acceleration module companies profiled in this report include-

• Murata
• Advantech
• Kneron
• Xilinx
• Hailo
• Edgecortix
• Roviero
• FlexLogix
• Architek
• Expedera

AI Acceleration Module by Segment

The study includes a forecast for the global AI acceleration module market by type, application, and region.

AI Acceleration Module Market by Type [Analysis by Value from 2019 to 2031]:

• Mini
• Small

AI Acceleration Module Market by Application [Analysis by Value from 2019 to 2031]:

• Industrial
• Smart Wearable Devices
• Smart Home
• Automobile
• Others

AI Acceleration Module Market by Region [Analysis by Value from 2019 to 2031]:

• In terms of regions, North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI Acceleration Module Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. The following highlights recent developments by major AI acceleration module producers in key regions: the USA, China, India, Japan, and Germany.

• United States: In the U.S., there has been a surge in the development of high-performance AI acceleration modules. Major tech companies are introducing advanced GPUs and TPUs with improved computational capabilities and energy efficiency, catering to the increasing needs of AI research and commercial applications.
• China: China is making significant strides in AI acceleration modules, focusing on developing domestically produced chips and accelerators. Recent advancements include the introduction of AI processors designed to support large-scale data processing and machine learning applications, aligning with the country's goal of becoming a global AI leader.
• Germany: Germany is advancing in AI acceleration technology with a focus on integrating AI modules into industrial automation systems. Developments include high-performance computing solutions tailored for manufacturing and research applications, enhancing efficiency and enabling real-time data analysis in various industrial settings.
• India: In India, the emphasis is on affordable and scalable AI acceleration modules. Recent innovations include cost-effective processors and accelerators designed to support AI applications in sectors such as healthcare and finance, facilitating the adoption of AI technologies by startups and SMEs.
• Japan: Japan is pushing the envelope in AI acceleration with advancements in specialized chips and hardware for robotics and automation. New developments include high-efficiency AI modules that support real-time processing and integration with smart technologies, enhancing Japan's capabilities in advanced robotics and industrial automation.

Features of the Global AI Acceleration Module Market

Market Size Estimates: AI acceleration module market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI acceleration module market size by type, application, and region in terms of value ($B).

Regional Analysis: AI acceleration module market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI acceleration module market.

Strategic Analysis: This includes M&A, new product development, and the competitive landscape of the AI acceleration module market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers the following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI acceleration module market by type (mini and small), application (industrial, smart wearable devices, smart home, automobile, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI Acceleration Module Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI Acceleration Module Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI Acceleration Module Market by Type
  • 3.3.1: Mini
  • 3.3.2: Small
• 3.4: Global AI Acceleration Module Market by Application
  • 3.4.1: Industrial
  • 3.4.2: Smart Wearable Devices
  • 3.4.3: Smart Home
  • 3.4.4: Automobile
  • 3.4.5: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI Acceleration Module Market by Region
• 4.2: North American AI Acceleration Module Market
  • 4.2.1: North American AI Acceleration Module Market by Type: Mini and Small
  • 4.2.2: North American AI Acceleration Module Market by Application: Industrial, Smart Wearable Devices, Smart Home, Automobile, and Others
• 4.3: European AI Acceleration Module Market
  • 4.3.1: European AI Acceleration Module Market by Type: Mini and Small
  • 4.3.2: European AI Acceleration Module Market by Application: Industrial, Smart Wearable Devices, Smart Home, Automobile, and Others
• 4.4: APAC AI Acceleration Module Market
  • 4.4.1: APAC AI Acceleration Module Market by Type: Mini and Small
  • 4.4.2: APAC AI Acceleration Module Market by Application: Industrial, Smart Wearable Devices, Smart Home, Automobile, and Others
• 4.5: ROW AI Acceleration Module Market
  • 4.5.1: ROW AI Acceleration Module Market by Type: Mini and Small
  • 4.5.2: ROW AI Acceleration Module Market by Application: Industrial, Smart Wearable Devices, Smart Home, Automobile, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI Acceleration Module Market by Type
  • 6.1.2: Growth Opportunities for the Global AI Acceleration Module Market by Application
  • 6.1.3: Growth Opportunities for the Global AI Acceleration Module Market by Region
• 6.2: Emerging Trends in the Global AI Acceleration Module Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI Acceleration Module Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Acceleration Module Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Murata
• 7.2: Advantech
• 7.3: Kneron
• 7.4: Xilinx
• 7.5: Hailo
• 7.6: Edgecortix
• 7.7: Roviero
• 7.8: FlexLogix
• 7.9: Architek
• 7.10: Expedera