AI Computing Hardware Market Trends and Forecast
The future of the global AI computing hardware market looks promising with opportunities in the BFSI, automotive, healthcare, IT & telecom, aerospace & defense, energy & utility, and government & public service markets. The global AI computing hardware market is expected to grow with a CAGR of 25.3% from 2024 to 2030. The major drivers for this market are increasing integration of ai in various industries for automation & efficiency, rising demand for data processing, and growing need for high-performance computing to manage big data and analytics.
• Lucintel forecasts that stand-alone vision processor is expected to witness the highest growth over the forecast period.
• Within this market, BFSI is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the AI Computing Hardware Market
• United States: NVIDIA announced its new A100 Tensor Core GPU, targeting enhanced AI training and inference. Intel is focusing on expanding its AI hardware portfolio with the launch of new AI-optimized processors.
• China: Huawei unveiled its latest AI processors, aiming to strengthen its position in the AI hardware market. The Chinese government continues to invest heavily in AI infrastructure and research.
• Japan: Fujitsu announced the development of its new AI processor, targeting high-performance computing applications. The Japanese government is promoting AI innovation through funding and policy support.
• South Korea: Samsung is investing in AI hardware R&D, aiming to become a leader in AI chip technology. The South Korean government is providing incentives for AI startups and research initiatives.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Computing Hardware Market by Segment
The study includes a forecast for the global AI computing hardware market by type, application, and region.
AI Computing Hardware Market by Type [Value from 2018 to 2030]:
• Stand-alone Vision Processor
• Embedded Vision Processor
• Stand-alone Sound Processor
• Embedded Sound Processor
AI Computing Hardware Market by Application [Value from 2018 to 2030]:
• BFSI
• Automotive
• Healthcare
• IT & Telecom
• Aerospace & Defense
• Energy & Utilities
• Government & Public Services
• Others
AI Computing Hardware Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Computing 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 leverage integration opportunities across the value chain. With these strategies AI computing hardware companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI computing hardware companies profiled in this report include-
• Cadence Design Systems
• Synopsys
• NXP Semiconductors
• CEVA
• Allied Vision Technologies
• Arm Limited
• Knowles Electronics
• GreenWaves Technologies
• Andrea Electronics Corporation
• Basler
Recent Development in the AI Computing Hardware Market
• NVIDIA: NVIDIA recently launched its A100 Tensor Core GPU, designed to enhance AI training and inference capabilities. This new GPU promises significant improvements in performance and efficiency, catering to the growing demand for advanced AI computing solutions in various sectors including healthcare, finance, and autonomous vehicles.
• Intel: Intel has expanded its AI hardware portfolio with the introduction of new AI-optimized processors, such as the 3rd Gen Intel Xeon Scalable processors. These processors are aimed at accelerating AI workloads across data centers and edge computing, providing businesses with robust and scalable AI computing power.
• Huawei: Huawei unveiled its Ascend AI processors, which are part of its broader strategy to lead the AI hardware market. These processors are designed to deliver high-performance computing for AI applications, and Huawei is actively integrating them into its cloud services and AI solutions to enhance efficiency and processing power.
• IBM: IBM announced advancements in its AI hardware with the development of new AI accelerator chips. These chips are optimized for handling large-scale AI models and complex computations, making them ideal for enterprise-level AI applications. IBMÄX%$%Xs focus is on integrating these accelerators into its cloud and AI platforms to offer superior performance.
• AMD: AMD has been investing in the development of its Radeon Instinct GPUs, which are specifically tailored for AI and machine learning applications. These GPUs are designed to provide high throughput and energy efficiency, catering to the needs of data centers and AI researchers looking for powerful and reliable hardware solutions.
Features of the Global AI Computing Hardware Market
Market Size Estimates: AI computing hardware market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI computing hardware market size by type, application, and region in terms of value ($B).
Regional Analysis: AI computing hardware 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 computing hardware market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI computing hardware market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI computing hardware market?
Answer: The global AI computing hardware market is expected to grow with a CAGR of 25.3% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI computing hardware market?
Answer: The major drivers for this market are increasing integration of ai in various industries for automation & efficiency, rising demand for data processing, and growing need for high-performance computing to manage big data and analytics.
Q3. What are the major segments for AI computing hardware market?
Answer: The future of the AI computing hardware market looks promising with opportunities in the BFSI, automotive, healthcare, IT & telecom, aerospace & defense, energy & utility, and government & public service markets.
Q4. Who are the key AI computing hardware market companies?
Answer: Some of the key AI computing hardware companies are as follows:
• Cadence Design Systems
• Synopsys
• NXP Semiconductors
• CEVA
• Allied Vision Technologies
• Arm Limited
• Knowles Electronics
• GreenWaves Technologies
• Andrea Electronics Corporation
• Basler
Q5. Which AI computing hardware market segment will be the largest in future?
Answer: Lucintel forecasts that stand-alone vision processor is expected to witness the highest growth over the forecast period.
Q6. In AI computing hardware market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the AI computing hardware market by type (stand-alone vision processor, embedded vision processor, stand-alone sound processor, and embedded sound processor), application (BFSI, automotive, healthcare, IT & telecom, aerospace & defense, energy & utilities, government & public services, 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?
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