Need help finding what you are looking for?
Contact Us
PUBLISHER: Lucintel | PRODUCT CODE: 1801381
PUBLISHER: Lucintel | PRODUCT CODE: 1801381
AI Hardware Market Report: Trends, Forecast and Competitive Analysis to 2031
PUBLISHED:
PAGES: 150 Pages
DELIVERY TIME: 3 business days
SELECT AN OPTION
The future of the global AI hardware market looks promising with opportunities in the telecommunication and IT, banking and finance, education, e-commerce, navigation, robotics, agriculture, and healthcare markets. The global AI hardware market is expected to grow with a CAGR of 15.5% from 2025 to 2031. The major drivers for this market are the increasing demand for AI-driven data centers & cloud computing and the rising adoption of AI in edge computing & IoT devices.
- Lucintel forecasts that, within the type category, processors are expected to witness the highest growth over the forecast period.
- Within the application category, telecommunication and IT are expected to witness the highest growth.
- In terms of region, APAC is expected to witness the highest growth over the forecast period.
Emerging Trends in the AI Hardware Market
The AI hardware market is experiencing rapid evolution, driven by the increasing computational demands of AI algorithms and the need for more efficient and specialized hardware. Traditional computing architectures are struggling to keep pace, leading to the emergence of new hardware solutions and innovative approaches to AI processing. These trends are not just about faster chips; they represent a fundamental shift in how we approach AI computation.
- Specialized AI Accelerators: GPUs, FPGAs, and ASICs are increasingly used as AI accelerators, designed to perform specific AI operations much faster than general-purpose CPUs. GPUs excel at parallel processing, making them ideal for training deep learning models. FPGAs offer flexibility and can be customized for specific AI workloads. ASICs are designed for maximum performance and energy efficiency for specific AI tasks. This specialization significantly speeds up AI training and inference.
- Edge AI Processing: Moving AI processing from the cloud to the edge (i.e., devices like smartphones, IoT sensors, and autonomous vehicles) is a growing trend. Edge AI reduces latency, improves privacy, and enables real-time decision-making. This requires AI hardware that is low-power, compact, and robust enough to operate in challenging environments. This trend is enabling a new wave of intelligent devices and applications.
- Neuromorphic Computing: Inspired by the human brain, neuromorphic chips mimic the structure and function of neurons and synapses. They offer the potential for massively parallel processing, low power consumption, and event-driven computation. While still in its early stages, neuromorphic computing has the potential to revolutionize AI by enabling more efficient and adaptive AI systems.
- Quantum Computing for AI: Quantum computers leverage the principles of quantum mechanics to perform certain computations exponentially faster than classical computers. While still largely experimental, quantum computing has the potential to revolutionize AI by enabling the solution of previously intractable problems, such as drug discovery and materials science.
- AI Chiplets and Heterogeneous Integration: To further improve performance and efficiency, AI chips are increasingly being designed using chiplets - smaller, specialized units that are interconnected. This heterogeneous integration allows for combining different types of processing units (CPUs, GPUs, etc.) on a single chip, optimizing performance for diverse AI workloads. This approach allows for greater flexibility and scalability in AI hardware design.
These trends are fundamentally reshaping the AI hardware market, driving innovation and creating a more diverse and specialized landscape. The focus on specialized accelerators, edge computing, neuromorphic computing, quantum computing, and chiplet architectures is leading to a new era of AI hardware that is more powerful, efficient, and adaptable to the demands of increasingly complex AI applications.
Recent Developments in the AI Hardware Market
The AI hardware market is a hotbed of innovation, driven by the ever-increasing computational demands of AI algorithms and the need for more efficient and specialized hardware. These developments are not just incremental improvements; they represent a fundamental shift in how we approach AI computation, enabling more complex and powerful AI applications.
- Advanced GPU Architectures: GPUs continue to be a dominant force in AI, and recent advancements in GPU architecture have significantly boosted AI performance. Newer GPUs offer increased memory bandwidth, more specialized cores for AI workloads, and improved interconnect technologies. This translates to faster training times for deep learning models and the ability to handle larger, more complex datasets.
- Rise of Specialized AI Accelerators: Beyond GPUs, the market is seeing a proliferation of specialized AI accelerators, including FPGAs and ASICs. FPGAs offer a balance of performance and flexibility, while ASICs are designed for maximum performance and energy efficiency for specific AI tasks. These accelerators are optimized for particular AI operations, leading to significant speedups and reduced power consumption compared to general-purpose CPUs.
- Edge AI Chips and Systems: The demand for edge AI processing is growing rapidly, leading to the development of specialized AI chips and systems designed for deployment on edge devices. These chips are low-power, compact, and robust, enabling AI processing closer to the data source. This reduces latency, improves privacy, and enables real-time decision-making in applications like autonomous vehicles, smart cameras, and industrial IoT devices.
- Neuromorphic Computing Progress: Neuromorphic computing, inspired by the human brain, is showing promising progress. Neuromorphic chips mimic the structure and function of neurons and synapses, offering the potential for massively parallel processing and event-driven computation. While still in its early stages, neuromorphic computing has the potential to revolutionize AI by enabling more efficient and adaptive AI systems.
- Software and Tooling Ecosystem: The AI hardware market is not just about the chips themselves; the software and tooling ecosystem is also crucial. Development tools, frameworks, and libraries are becoming more sophisticated, making it easier for developers to build and deploy AI applications on specialized hardware. This includes optimized compilers, libraries for deep learning frameworks, and tools for model quantization and pruning.
These developments are significantly impacting the AI hardware market, creating a more diverse and competitive landscape. The focus on specialized accelerators, edge computing, neuromorphic computing, and a robust software ecosystem is accelerating the pace of AI innovation and enabling the development of more powerful and efficient AI applications across a wide range of industries.
Strategic Growth Opportunities in the AI Hardware Market
The AI hardware market is brimming with opportunities, driven by the rapidly expanding adoption of AI across diverse industries. The increasing complexity of AI models and the need for real-time processing create a surge in demand for specialized hardware. These opportunities span various sectors, offering significant growth potential for hardware vendors.
- Autonomous Vehicles: Self-driving cars rely heavily on AI for perception, planning, and control. This creates a massive market for AI hardware optimized for autonomous driving, including high-performance processors, specialized sensors, and robust edge computing platforms. The need for real-time processing and safety-critical applications drives the demand for highly reliable and robust AI hardware.
- Healthcare and Medical Imaging: AI is revolutionizing healthcare through applications like medical image analysis, drug discovery, and personalized medicine. This creates opportunities for AI hardware that can accelerate these tasks, including GPUs for image processing, FPGAs for customized algorithms, and cloud-based AI platforms for large-scale data analysis. The need for accuracy and efficiency in healthcare applications drives the demand for specialized AI hardware.
- Industrial Automation and Robotics: AI-powered robots and automation systems are transforming manufacturing and logistics. This creates a market for AI hardware that can enable real-time control, object recognition, and predictive maintenance in industrial settings. Edge AI processing is crucial for these applications, driving demand for low-power and robust AI hardware for industrial environments.
- Smart Cities and Surveillance: AI is being deployed in smart cities for applications like traffic management, public safety, and environmental monitoring. This creates opportunities for AI hardware that can process large amounts of data from various sources, including cameras, sensors, and other IoT devices. Edge AI processing is essential for these applications, driving demand for scalable and efficient AI hardware for smart city deployments.
- Consumer Electronics and Edge Devices: AI is becoming increasingly prevalent in consumer electronics, from smartphones and smart speakers to wearables and home appliances. This creates a massive market for low-power and cost-effective AI hardware that can enable AI processing on edge devices. This includes specialized AI chips for image recognition, natural language processing, and personalized user experiences.
These growth opportunities are significantly impacting the AI hardware market, driving innovation and specialization. Vendors who can develop hardware solutions that meet the specific needs of these key applications, offering high performance, energy efficiency, and cost-effectiveness, will be well-positioned for success in this rapidly expanding market.
AI Hardware Market Driver and Challenges
The AI hardware market is experiencing explosive growth, driven by the increasing demand for computational power to support complex AI algorithms. However, this rapid expansion is accompanied by significant challenges. The market is shaped by a complex interplay of technological advancements, economic factors, and evolving regulatory landscapes. Understanding these driving forces and obstacles is crucial for navigating this dynamic and competitive landscape.
The factors responsible for driving the AI hardware market include:
1. Increasing Complexity of AI Models: AI models are becoming increasingly complex, requiring significantly more computational power for both training and inference. This drives the demand for specialized AI hardware, such as GPUs, FPGAs, and ASICs, to accelerate these complex computations.
2. Growing Demand for Edge AI: The need for real-time processing, reduced latency, and improved privacy is driving the demand for edge AI. This requires AI hardware that is low-power, compact, and robust enough to operate in edge devices, such as smartphones, IoT sensors, and autonomous vehicles.
3. Rise of Cloud Computing and AI-as-a-Service: Cloud computing platforms are making AI hardware and software more accessible to businesses and developers. AI-as-a-service offerings provide pre-trained models and easy-to-use tools, further accelerating AI adoption and driving demand for cloud-based AI hardware.
4. The proliferation of AI Applications Across Industries: AI is being adopted across a wide range of industries, from healthcare and finance to manufacturing and retail. This proliferation of AI applications is creating a massive demand for AI hardware to power these diverse use cases.
5. Advancements in Semiconductor Technology: Continuous advancements in semiconductor technology, such as smaller process nodes and new chip architectures, are enabling the development of more powerful and energy-efficient AI hardware. This fuels further innovation and growth in the AI hardware market.
Challenges in the AI hardware market are:
1. High Cost of AI Hardware: Specialized AI hardware, such as high-end GPUs and FPGAs, can be very expensive, posing a barrier to entry for smaller businesses and researchers. The cost of AI hardware can significantly impact the overall cost of AI development and deployment.
2. Lack of Standardization and Interoperability: The AI hardware market lacks standardization, making it difficult to integrate different AI hardware components and software platforms. This can create interoperability challenges and increase the complexity of AI development.
3. Talent Shortage and Expertise Gap: Developing and deploying AI applications requires specialized expertise in both hardware and software. There is a shortage of skilled professionals with the necessary knowledge and experience, which can slow down AI adoption and innovation.
These drivers and challenges are shaping the AI hardware market. While the increasing complexity of AI models, the rise of edge AI, and the proliferation of AI applications offer significant growth opportunities, the high cost of AI hardware, the lack of standardization, and the talent shortage pose significant challenges that need to be addressed for the market to reach its full potential. Balancing innovation with cost-effectiveness, promoting standardization, and investing in talent development will be crucial for sustained growth in the AI hardware market.
List of AI Hardware Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leveraging integration opportunities across the value chain. With these strategies, AI hardware companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI hardware companies profiled in this report include:
- Nvidia Corporation
- Qualcomm Technologies
- Samsung Electronics
- International Business Machines Corporation (IBM)
- Xilinx
- Micron Technology
- Huawei Technologies
- Intel Corporation
- Microsoft Corporation
AI Hardware Market by Segment
The study includes a forecast for the global AI hardware market by type, technology, end use, and region.
AI Hardware Market by Type [Value from 2019 to 2031]:
- Processor
- Memory
- Network
- Storage
AI Hardware Market by Technology [Value from 2019 to 2031]:
- Machine Learning
- Computer Vision
- Natural Language Processing
- Expert Systems
AI Hardware Market by Region [Value from 2019 to 2031]:
- North America
- Europe
- Asia Pacific
- The Rest of the World
Country Wise Outlook for the AI Hardware Market
The AI hardware market is experiencing explosive growth, driven by the increasing demand for processing power to support complex AI algorithms and applications. This demand spans various sectors, from cloud computing and autonomous vehicles to healthcare and robotics. Recent developments focus on specialized hardware like GPUs, FPGAs, and ASICs, designed to accelerate AI workloads. Furthermore, the market is witnessing a surge in innovation in neuromorphic computing and quantum computing, which promise to revolutionize AI processing in the future.
- United States: The US dominates the AI hardware market, with major players like NVIDIA and Intel leading the development of GPUs and other AI accelerators. Recent developments include advancements in GPU architecture, the rise of cloud-based AI platforms, and significant investments in neuromorphic computing research. The US also sees considerable activity in developing AI chips for edge devices and specialized applications.
- China: China is rapidly catching up in the AI hardware race, with companies like Huawei and Cambricon developing their own AI chips. Recent developments include substantial government funding for AI research and development, a focus on developing AI hardware for specific sectors like surveillance and autonomous driving, and increasing competition among domestic AI chip manufacturers.
- Germany: Germany has a strong focus on industrial AI and robotics, leading to developments in AI hardware tailored for these applications. Recent trends include collaborations between research institutions and industry players, a growing emphasis on edge computing for AI in manufacturing, and increasing investment in AI chip development for automotive and industrial automation.
- India: The Indian AI hardware market is still emerging but is expected to grow significantly. Recent developments include government initiatives to promote AI adoption, increasing investment in AI startups, and a growing focus on developing AI hardware for healthcare, agriculture, and smart city applications. There's a strong emphasis on developing talent and infrastructure to support AI growth.
- Japan: Japan is focusing on AI hardware for robotics, automation, and edge computing applications. Recent developments include advancements in neuromorphic computing, collaborations between academia and industry to develop AI chips, and a growing emphasis on using AI to address societal challenges like an aging population and labor shortages. There is significant investment in R&D for next-generation AI hardware.
Features of the Global AI Hardware Market
- Market Size Estimates: AI hardware market size estimation in terms of value ($B).
- Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.
- Segmentation Analysis: AI hardware market size by type, technology, end use, and region in terms of value ($B).
- Regional Analysis: AI hardware market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
- Growth Opportunities: Analysis of growth opportunities in different types, technologies, end uses, and regions for the AI hardware market.
- Strategic Analysis: This includes M&A, new product development, and the competitive landscape of the AI hardware market.
Analysis of the competitive intensity of the industry based on Porter's Five Forces model.
This report answers the following 11 key questions:
- Q.1. What are some of the most promising, high-growth opportunities for the AI hardware market by type (processor, memory, network, and storage), technology (machine learning, computer vision, natural language processing, and expert systems), end use (telecommunication and IT, banking and finance, education, e-commerce, navigation, robotics, agriculture, healthcare, 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. Market Overview
- 2.1 Background and Classifications
- 2.2 Supply Chain
3. Market Trends & Forecast Analysis
- 3.1 Macroeconomic Trends and Forecasts
- 3.2 Industry Drivers and Challenges
- 3.3 PESTLE Analysis
- 3.4 Patent Analysis
- 3.5 Regulatory Environment
4. Global AI Hardware Market by Type
- 4.1 Overview
- 4.2 Attractiveness Analysis by Type
- 4.3 Processor: Trends and Forecast (2019-2031)
- 4.4 Memory: Trends and Forecast (2019-2031)
- 4.5 Network: Trends and Forecast (2019-2031)
- 4.6 Storage: Trends and Forecast (2019-2031)
5. Global AI Hardware Market by Technology
- 5.1 Overview
- 5.2 Attractiveness Analysis by Technology
- 5.3 Machine Learning: Trends and Forecast (2019-2031)
- 5.4 Computer Vision: Trends and Forecast (2019-2031)
- 5.5 Natural Language Processing: Trends and Forecast (2019-2031)
- 5.6 Expert Systems: Trends and Forecast (2019-2031)
6. Global AI Hardware Market by End Use
- 6.1 Overview
- 6.2 Attractiveness Analysis by End Use
- 6.3 Telecommunication and IT: Trends and Forecast (2019-2031)
- 6.4 Banking and Finance: Trends and Forecast (2019-2031)
- 6.5 Education: Trends and Forecast (2019-2031)
- 6.6 E-commerce: Trends and Forecast (2019-2031)
- 6.7 Navigation: Trends and Forecast (2019-2031)
- 6.8 Robotics: Trends and Forecast (2019-2031)
- 6.9 Agriculture: Trends and Forecast (2019-2031)6.10 Healthcare: Trends and Forecast (2019-2031)6.11 Others: Trends and Forecast (2019-2031)
7. Regional Analysis
- 7.1 Overview
- 7.2 Global AI Hardware Market by Region
8. North American AI Hardware Market
- 8.1 Overview
- 8.2 North American AI Hardware Market by Type
- 8.3 North American AI Hardware Market by End Use
- 8.4 United States AI Hardware Market
- 8.5 Mexican AI Hardware Market
- 8.6 Canadian AI Hardware Market
9. European AI Hardware Market
- 9.1 Overview
- 9.2 European AI Hardware Market by Type
- 9.3 European AI Hardware Market by End Use
- 9.4 German AI Hardware Market
- 9.5 French AI Hardware Market
- 9.6 Spanish AI Hardware Market
- 9.7 Italian AI Hardware Market
- 9.8 United Kingdom AI Hardware Market
10. APAC AI Hardware Market
- 10.1 Overview
- 10.2 APAC AI Hardware Market by Type
- 10.3 APAC AI Hardware Market by End Use
- 10.4 Japanese AI Hardware Market
- 10.5 Indian AI Hardware Market
- 10.6 Chinese AI Hardware Market
- 10.7 South Korean AI Hardware Market
- 10.8 Indonesian AI Hardware Market
11. ROW AI Hardware Market
- 11.1 Overview
- 11.2 ROW AI Hardware Market by Type
- 11.3 ROW AI Hardware Market by End Use
- 11.4 Middle Eastern AI Hardware Market
- 11.5 South American AI Hardware Market
- 11.6 African AI Hardware Market
12. Competitor Analysis
- 12.1 Product Portfolio Analysis
- 12.2 Operational Integration
- 12.3 Porter's Five Forces Analysis
- Competitive Rivalry
- Bargaining Power of Buyers
- Bargaining Power of Suppliers
- Threat of Substitutes
- Threat of New Entrants
- 12.4 Market Share Analysis
13. Opportunities & Strategic Analysis
- 13.1 Value Chain Analysis
- 13.2 Growth Opportunity Analysis
- 13.2.1 Growth Opportunities by Type
- 13.2.2 Growth Opportunities by Technology
- 13.2.3 Growth Opportunities by End Use
- 13.3 Emerging Trends in the Global AI Hardware Market
- 13.4 Strategic Analysis
- 13.4.1 New Product Development
- 13.4.2 Certification and Licensing
- 13.4.3 Mergers, Acquisitions, Agreements, Collaborations, and Joint Ventures
14. Company Profiles of the Leading Players Across the Value Chain
- 14.1 Competitive Analysis
- 14.2 Nvidia Corporation
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.3 Qualcomm Technologies
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.4 Samsung Electronics
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.5 International Business Machines Corporation (IBM)
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.6 Xilinx
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.7 Micron Technology
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.8 Huawei Technologies
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.9 Intel Corporation
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.10 Google
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
- 14.11 Microsoft Corporation
- Company Overview
- AI Hardware Business Overview
- New Product Development
- Merger, Acquisition, and Collaboration
- Certification and Licensing
15. Appendix
- 15.1 List of Figures
- 15.2 List of Tables
- 15.3 Research Methodology
- 15.4 Disclaimer
- 15.5 Copyright
- 15.6 Abbreviations and Technical Units
- 15.7 About Us
- 15.8 Contact Us
List of Figures
- Figure 1.1: Trends and Forecast for the Global AI Hardware Market
- Figure 2.1: Usage of AI Hardware Market
- Figure 2.2: Classification of the Global AI Hardware Market
- Figure 2.3: Supply Chain of the Global AI Hardware Market
- Figure 2.4: Driver and Challenges of the AI Hardware Market
- Figure 3.1: Trends of the Global GDP Growth Rate
- Figure 3.2: Trends of the Global Population Growth Rate
- Figure 3.3: Trends of the Global Inflation Rate
- Figure 3.4: Trends of the Global Unemployment Rate
- Figure 3.5: Trends of the Regional GDP Growth Rate
- Figure 3.6: Trends of the Regional Population Growth Rate
- Figure 3.7: Trends of the Regional Inflation Rate
- Figure 3.8: Trends of the Regional Unemployment Rate
- Figure 3.9: Trends of Regional Per Capita Income
- Figure 3.10: Forecast for the Global GDP Growth Rate
- Figure 3.11: Forecast for the Global Population Growth Rate
- Figure 3.12: Forecast for the Global Inflation Rate
- Figure 3.13: Forecast for the Global Unemployment Rate
- Figure 3.14: Forecast for the Regional GDP Growth Rate
- Figure 3.15: Forecast for the Regional Population Growth Rate
- Figure 3.16: Forecast for the Regional Inflation Rate
- Figure 3.17: Forecast for the Regional Unemployment Rate
- Figure 3.18: Forecast for Regional Per Capita Income
- Figure 4.1: Global AI Hardware Market by Type in 2019, 2024, and 2031
- Figure 4.2: Trends of the Global AI Hardware Market ($B) by Type
- Figure 4.3: Forecast for the Global AI Hardware Market ($B) by Type
- Figure 4.4: Trends and Forecast for Processor in the Global AI Hardware Market (2019-2031)
- Figure 4.5: Trends and Forecast for Memory in the Global AI Hardware Market (2019-2031)
- Figure 4.6: Trends and Forecast for Network in the Global AI Hardware Market (2019-2031)
- Figure 4.7: Trends and Forecast for Storage in the Global AI Hardware Market (2019-2031)
- Figure 5.1: Global AI Hardware Market by Technology in 2019, 2024, and 2031
- Figure 5.2: Trends of the Global AI Hardware Market ($B) by Technology
- Figure 5.3: Forecast for the Global AI Hardware Market ($B) by Technology
- Figure 5.4: Trends and Forecast for Machine Learning in the Global AI Hardware Market (2019-2031)
- Figure 5.5: Trends and Forecast for Computer Vision in the Global AI Hardware Market (2019-2031)
- Figure 5.6: Trends and Forecast for Natural Language Processing in the Global AI Hardware Market (2019-2031)
- Figure 5.7: Trends and Forecast for Expert Systems in the Global AI Hardware Market (2019-2031)
- Figure 6.1: Global AI Hardware Market by End Use in 2019, 2024, and 2031
- Figure 6.2: Trends of the Global AI Hardware Market ($B) by End Use
- Figure 6.3: Forecast for the Global AI Hardware Market ($B) by End Use
- Figure 6.4: Trends and Forecast for Telecommunication and IT in the Global AI Hardware Market (2019-2031)
- Figure 6.5: Trends and Forecast for Banking and Finance in the Global AI Hardware Market (2019-2031)
- Figure 6.6: Trends and Forecast for Education in the Global AI Hardware Market (2019-2031)
- Figure 6.7: Trends and Forecast for E-commerce in the Global AI Hardware Market (2019-2031)
- Figure 6.8: Trends and Forecast for Navigation in the Global AI Hardware Market (2019-2031)
- Figure 6.9: Trends and Forecast for Robotics in the Global AI Hardware Market (2019-2031)
- Figure 6.10: Trends and Forecast for Agriculture in the Global AI Hardware Market (2019-2031)
- Figure 6.11: Trends and Forecast for Healthcare in the Global AI Hardware Market (2019-2031)
- Figure 6.12: Trends and Forecast for Others in the Global AI Hardware Market (2019-2031)
- Figure 7.1: Trends of the Global AI Hardware Market ($B) by Region (2019-2024)
- Figure 7.2: Forecast for the Global AI Hardware Market ($B) by Region (2025-2031)
- Figure 8.1: Trends and Forecast for the North American AI Hardware Market (2019-2031)
- Figure 8.2: North American AI Hardware Market by Type in 2019, 2024, and 2031
- Figure 8.3: Trends of the North American AI Hardware Market ($B) by Type (2019-2024)
- Figure 8.4: Forecast for the North American AI Hardware Market ($B) by Type (2025-2031)
- Figure 8.5: North American AI Hardware Market by Technology in 2019, 2024, and 2031
- Figure 8.6: Trends of the North American AI Hardware Market ($B) by Technology (2019-2024)
- Figure 8.7: Forecast for the North American AI Hardware Market ($B) by Technology (2025-2031)
- Figure 8.8: North American AI Hardware Market by End Use in 2019, 2024, and 2031
- Figure 8.9: Trends of the North American AI Hardware Market ($B) by End Use (2019-2024)
- Figure 8.10: Forecast for the North American AI Hardware Market ($B) by End Use (2025-2031)
- Figure 8.11: Trends and Forecast for the United States AI Hardware Market ($B) (2019-2031)
- Figure 8.12: Trends and Forecast for the Mexican AI Hardware Market ($B) (2019-2031)
- Figure 8.13: Trends and Forecast for the Canadian AI Hardware Market ($B) (2019-2031)
- Figure 9.1: Trends and Forecast for the European AI Hardware Market (2019-2031)
- Figure 9.2: European AI Hardware Market by Type in 2019, 2024, and 2031
- Figure 9.3: Trends of the European AI Hardware Market ($B) by Type (2019-2024)
- Figure 9.4: Forecast for the European AI Hardware Market ($B) by Type (2025-2031)
- Figure 9.5: European AI Hardware Market by Technology in 2019, 2024, and 2031
- Figure 9.6: Trends of the European AI Hardware Market ($B) by Technology (2019-2024)
- Figure 9.7: Forecast for the European AI Hardware Market ($B) by Technology (2025-2031)
- Figure 9.8: European AI Hardware Market by End Use in 2019, 2024, and 2031
- Figure 9.9: Trends of the European AI Hardware Market ($B) by End Use (2019-2024)
- Figure 9.10: Forecast for the European AI Hardware Market ($B) by End Use (2025-2031)
- Figure 9.11: Trends and Forecast for the German AI Hardware Market ($B) (2019-2031)
- Figure 9.12: Trends and Forecast for the French AI Hardware Market ($B) (2019-2031)
- Figure 9.13: Trends and Forecast for the Spanish AI Hardware Market ($B) (2019-2031)
- Figure 9.14: Trends and Forecast for the Italian AI Hardware Market ($B) (2019-2031)
- Figure 9.15: Trends and Forecast for the United Kingdom AI Hardware Market ($B) (2019-2031)
- Figure 10.1: Trends and Forecast for the APAC AI Hardware Market (2019-2031)
- Figure 10.2: APAC AI Hardware Market by Type in 2019, 2024, and 2031
- Figure 10.3: Trends of the APAC AI Hardware Market ($B) by Type (2019-2024)
- Figure 10.4: Forecast for the APAC AI Hardware Market ($B) by Type (2025-2031)
- Figure 10.5: APAC AI Hardware Market by Technology in 2019, 2024, and 2031
- Figure 10.6: Trends of the APAC AI Hardware Market ($B) by Technology (2019-2024)
- Figure 10.7: Forecast for the APAC AI Hardware Market ($B) by Technology (2025-2031)
- Figure 10.8: APAC AI Hardware Market by End Use in 2019, 2024, and 2031
- Figure 10.9: Trends of the APAC AI Hardware Market ($B) by End Use (2019-2024)
- Figure 10.10: Forecast for the APAC AI Hardware Market ($B) by End Use (2025-2031)
- Figure 10.11: Trends and Forecast for the Japanese AI Hardware Market ($B) (2019-2031)
- Figure 10.12: Trends and Forecast for the Indian AI Hardware Market ($B) (2019-2031)
- Figure 10.13: Trends and Forecast for the Chinese AI Hardware Market ($B) (2019-2031)
- Figure 10.14: Trends and Forecast for the South Korean AI Hardware Market ($B) (2019-2031)
- Figure 10.15: Trends and Forecast for the Indonesian AI Hardware Market ($B) (2019-2031)
- Figure 11.1: Trends and Forecast for the ROW AI Hardware Market (2019-2031)
- Figure 11.2: ROW AI Hardware Market by Type in 2019, 2024, and 2031
- Figure 11.3: Trends of the ROW AI Hardware Market ($B) by Type (2019-2024)
- Figure 11.4: Forecast for the ROW AI Hardware Market ($B) by Type (2025-2031)
- Figure 11.5: ROW AI Hardware Market by Technology in 2019, 2024, and 2031
- Figure 11.6: Trends of the ROW AI Hardware Market ($B) by Technology (2019-2024)
- Figure 11.7: Forecast for the ROW AI Hardware Market ($B) by Technology (2025-2031)
- Figure 11.8: ROW AI Hardware Market by End Use in 2019, 2024, and 2031
- Figure 11.9: Trends of the ROW AI Hardware Market ($B) by End Use (2019-2024)
- Figure 11.10: Forecast for the ROW AI Hardware Market ($B) by End Use (2025-2031)
- Figure 11.11: Trends and Forecast for the Middle Eastern AI Hardware Market ($B) (2019-2031)
- Figure 11.12: Trends and Forecast for the South American AI Hardware Market ($B) (2019-2031)
- Figure 11.13: Trends and Forecast for the African AI Hardware Market ($B) (2019-2031)
- Figure 12.1: Porter's Five Forces Analysis of the Global AI Hardware Market
- Figure 12.2: Market Share (%) of Top Players in the Global AI Hardware Market (2024)
- Figure 13.1: Growth Opportunities for the Global AI Hardware Market by Type
- Figure 13.2: Growth Opportunities for the Global AI Hardware Market by Technology
- Figure 13.3: Growth Opportunities for the Global AI Hardware Market by End Use
- Figure 13.4: Growth Opportunities for the Global AI Hardware Market by Region
- Figure 13.5: Emerging Trends in the Global AI Hardware Market
List of Tables
- Table 1.1: Growth Rate (%, 2023-2024) and CAGR (%, 2025-2031) of the AI Hardware Market by Type, Technology, and End Use
- Table 1.2: Attractiveness Analysis for the AI Hardware Market by Region
- Table 1.3: Global AI Hardware Market Parameters and Attributes
- Table 3.1: Trends of the Global AI Hardware Market (2019-2024)
- Table 3.2: Forecast for the Global AI Hardware Market (2025-2031)
- Table 4.1: Attractiveness Analysis for the Global AI Hardware Market by Type
- Table 4.2: Market Size and CAGR of Various Type in the Global AI Hardware Market (2019-2024)
- Table 4.3: Market Size and CAGR of Various Type in the Global AI Hardware Market (2025-2031)
- Table 4.4: Trends of Processor in the Global AI Hardware Market (2019-2024)
- Table 4.5: Forecast for Processor in the Global AI Hardware Market (2025-2031)
- Table 4.6: Trends of Memory in the Global AI Hardware Market (2019-2024)
- Table 4.7: Forecast for Memory in the Global AI Hardware Market (2025-2031)
- Table 4.8: Trends of Network in the Global AI Hardware Market (2019-2024)
- Table 4.9: Forecast for Network in the Global AI Hardware Market (2025-2031)
- Table 4.10: Trends of Storage in the Global AI Hardware Market (2019-2024)
- Table 4.11: Forecast for Storage in the Global AI Hardware Market (2025-2031)
- Table 5.1: Attractiveness Analysis for the Global AI Hardware Market by Technology
- Table 5.2: Market Size and CAGR of Various Technology in the Global AI Hardware Market (2019-2024)
- Table 5.3: Market Size and CAGR of Various Technology in the Global AI Hardware Market (2025-2031)
- Table 5.4: Trends of Machine Learning in the Global AI Hardware Market (2019-2024)
- Table 5.5: Forecast for Machine Learning in the Global AI Hardware Market (2025-2031)
- Table 5.6: Trends of Computer Vision in the Global AI Hardware Market (2019-2024)
- Table 5.7: Forecast for Computer Vision in the Global AI Hardware Market (2025-2031)
- Table 5.8: Trends of Natural Language Processing in the Global AI Hardware Market (2019-2024)
- Table 5.9: Forecast for Natural Language Processing in the Global AI Hardware Market (2025-2031)
- Table 5.10: Trends of Expert Systems in the Global AI Hardware Market (2019-2024)
- Table 5.11: Forecast for Expert Systems in the Global AI Hardware Market (2025-2031)
- Table 6.1: Attractiveness Analysis for the Global AI Hardware Market by End Use
- Table 6.2: Market Size and CAGR of Various End Use in the Global AI Hardware Market (2019-2024)
- Table 6.3: Market Size and CAGR of Various End Use in the Global AI Hardware Market (2025-2031)
- Table 6.4: Trends of Telecommunication and IT in the Global AI Hardware Market (2019-2024)
- Table 6.5: Forecast for Telecommunication and IT in the Global AI Hardware Market (2025-2031)
- Table 6.6: Trends of Banking and Finance in the Global AI Hardware Market (2019-2024)
- Table 6.7: Forecast for Banking and Finance in the Global AI Hardware Market (2025-2031)
- Table 6.8: Trends of Education in the Global AI Hardware Market (2019-2024)
- Table 6.9: Forecast for Education in the Global AI Hardware Market (2025-2031)
- Table 6.10: Trends of E-commerce in the Global AI Hardware Market (2019-2024)
- Table 6.11: Forecast for E-commerce in the Global AI Hardware Market (2025-2031)
- Table 6.12: Trends of Navigation in the Global AI Hardware Market (2019-2024)
- Table 6.13: Forecast for Navigation in the Global AI Hardware Market (2025-2031)
- Table 6.14: Trends of Robotics in the Global AI Hardware Market (2019-2024)
- Table 6.15: Forecast for Robotics in the Global AI Hardware Market (2025-2031)
- Table 6.16: Trends of Agriculture in the Global AI Hardware Market (2019-2024)
- Table 6.17: Forecast for Agriculture in the Global AI Hardware Market (2025-2031)
- Table 6.18: Trends of Healthcare in the Global AI Hardware Market (2019-2024)
- Table 6.19: Forecast for Healthcare in the Global AI Hardware Market (2025-2031)
- Table 6.20: Trends of Others in the Global AI Hardware Market (2019-2024)
- Table 6.21: Forecast for Others in the Global AI Hardware Market (2025-2031)
- Table 7.1: Market Size and CAGR of Various Regions in the Global AI Hardware Market (2019-2024)
- Table 7.2: Market Size and CAGR of Various Regions in the Global AI Hardware Market (2025-2031)
- Table 8.1: Trends of the North American AI Hardware Market (2019-2024)
- Table 8.2: Forecast for the North American AI Hardware Market (2025-2031)
- Table 8.3: Market Size and CAGR of Various Type in the North American AI Hardware Market (2019-2024)
- Table 8.4: Market Size and CAGR of Various Type in the North American AI Hardware Market (2025-2031)
- Table 8.5: Market Size and CAGR of Various Technology in the North American AI Hardware Market (2019-2024)
- Table 8.6: Market Size and CAGR of Various Technology in the North American AI Hardware Market (2025-2031)
- Table 8.7: Market Size and CAGR of Various End Use in the North American AI Hardware Market (2019-2024)
- Table 8.8: Market Size and CAGR of Various End Use in the North American AI Hardware Market (2025-2031)
- Table 8.9: Trends and Forecast for the United States AI Hardware Market (2019-2031)
- Table 8.10: Trends and Forecast for the Mexican AI Hardware Market (2019-2031)
- Table 8.11: Trends and Forecast for the Canadian AI Hardware Market (2019-2031)
- Table 9.1: Trends of the European AI Hardware Market (2019-2024)
- Table 9.2: Forecast for the European AI Hardware Market (2025-2031)
- Table 9.3: Market Size and CAGR of Various Type in the European AI Hardware Market (2019-2024)
- Table 9.4: Market Size and CAGR of Various Type in the European AI Hardware Market (2025-2031)
- Table 9.5: Market Size and CAGR of Various Technology in the European AI Hardware Market (2019-2024)
- Table 9.6: Market Size and CAGR of Various Technology in the European AI Hardware Market (2025-2031)
- Table 9.7: Market Size and CAGR of Various End Use in the European AI Hardware Market (2019-2024)
- Table 9.8: Market Size and CAGR of Various End Use in the European AI Hardware Market (2025-2031)
- Table 9.9: Trends and Forecast for the German AI Hardware Market (2019-2031)
- Table 9.10: Trends and Forecast for the French AI Hardware Market (2019-2031)
- Table 9.11: Trends and Forecast for the Spanish AI Hardware Market (2019-2031)
- Table 9.12: Trends and Forecast for the Italian AI Hardware Market (2019-2031)
- Table 9.13: Trends and Forecast for the United Kingdom AI Hardware Market (2019-2031)
- Table 10.1: Trends of the APAC AI Hardware Market (2019-2024)
- Table 10.2: Forecast for the APAC AI Hardware Market (2025-2031)
- Table 10.3: Market Size and CAGR of Various Type in the APAC AI Hardware Market (2019-2024)
- Table 10.4: Market Size and CAGR of Various Type in the APAC AI Hardware Market (2025-2031)
- Table 10.5: Market Size and CAGR of Various Technology in the APAC AI Hardware Market (2019-2024)
- Table 10.6: Market Size and CAGR of Various Technology in the APAC AI Hardware Market (2025-2031)
- Table 10.7: Market Size and CAGR of Various End Use in the APAC AI Hardware Market (2019-2024)
- Table 10.8: Market Size and CAGR of Various End Use in the APAC AI Hardware Market (2025-2031)
- Table 10.9: Trends and Forecast for the Japanese AI Hardware Market (2019-2031)
- Table 10.10: Trends and Forecast for the Indian AI Hardware Market (2019-2031)
- Table 10.11: Trends and Forecast for the Chinese AI Hardware Market (2019-2031)
- Table 10.12: Trends and Forecast for the South Korean AI Hardware Market (2019-2031)
- Table 10.13: Trends and Forecast for the Indonesian AI Hardware Market (2019-2031)
- Table 11.1: Trends of the ROW AI Hardware Market (2019-2024)
- Table 11.2: Forecast for the ROW AI Hardware Market (2025-2031)
- Table 11.3: Market Size and CAGR of Various Type in the ROW AI Hardware Market (2019-2024)
- Table 11.4: Market Size and CAGR of Various Type in the ROW AI Hardware Market (2025-2031)
- Table 11.5: Market Size and CAGR of Various Technology in the ROW AI Hardware Market (2019-2024)
- Table 11.6: Market Size and CAGR of Various Technology in the ROW AI Hardware Market (2025-2031)
- Table 11.7: Market Size and CAGR of Various End Use in the ROW AI Hardware Market (2019-2024)
- Table 11.8: Market Size and CAGR of Various End Use in the ROW AI Hardware Market (2025-2031)
- Table 11.9: Trends and Forecast for the Middle Eastern AI Hardware Market (2019-2031)
- Table 11.10: Trends and Forecast for the South American AI Hardware Market (2019-2031)
- Table 11.11: Trends and Forecast for the African AI Hardware Market (2019-2031)
- Table 12.1: Product Mapping of AI Hardware Suppliers Based on Segments
- Table 12.2: Operational Integration of AI Hardware Manufacturers
- Table 12.3: Rankings of Suppliers Based on AI Hardware Revenue
- Table 13.1: New Product Launches by Major AI Hardware Producers (2019-2024)
- Table 13.2: Certification Acquired by Major Competitor in the Global AI Hardware Market
Have a question?
SELECT AN OPTION
Have a question?
Questions? Please give us a call or visit the contact form.