PUBLISHER: Lucintel | PRODUCT CODE: 1418057
PUBLISHER: Lucintel | PRODUCT CODE: 1418057
AI Training Chip Trends and Forecast
The future of the global AI training chip market looks promising with opportunities in the natural language processing, robotics, computer vision, and network security markets. The global AI training chip market is expected to grow with a CAGR of 30.1% from 2024 to 2030. The major drivers for this market are increasing adoption of deep learning algorithms and rising demand for AI-powered applications in various end-use industries.
A more than 150-page report is developed to help in your business decisions.
AI Training Chip by Segment
The study includes a forecast for the global AI training chip by chip type, hardware, application, end use, and region.
List of AI Training Chip 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 training chip companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI training chip companies profiled in this report include-
AI Training Chip Market Insights
Lucintel forecasts that CPU will remain the largest segment over the forecast period as it is affordable and readily available.
Within this market, natural language processing will remain the largest segment due to growing demand for task automation, enhancing customer service, and deriving novel insights from data.
APAC will remain the largest region over the forecast period due to increasing number of startups and continuous government support in the region.
Features of the Global AI Training Chip Market
Market Size Estimates: AI training chip market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI training chip market size by various segments, such as by chip type, hardware, application, end use, and region in terms of value ($B).
Regional Analysis: AI training chip market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different chip types, hardware, applications, end uses, and regions for the AI training chip market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI training chip market.
Analysis of competitive intensity of the industry based on Porter's Five Forces model.
FAQ
Q1. What is the growth forecast for AI training chip market?
Answer: The global AI training chip market is expected to grow with a CAGR of 30.1% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI training chip market?
Answer: The major drivers for this market are increasing adoption of deep learning algorithms and rising demand for AI-powered applications in various end-use industries.
Q3. What are the major segments for AI training chip market?
Answer: The future of the AI training chip market looks promising with opportunities in the natural language processing, robotics, computer vision, and network security markets.
Q4. Who are the key AI training chip market companies?
Answer: Some of the key AI training chip companies are as follows.
Q5. Which AI training chip market segment will be the largest in future?
Answer: Lucintel forecasts that CPU will remain the largest segment over the forecast period as it is affordable and readily available.
Q6. In AI training chip market, which region is expected to be the largest in next 5 years?
Answer: APAC will remain the largest region over the forecast period due to increasing number of startups and continuous government support in the region.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.