AI based Edge Computing Chip Market was valued at USD 2.60 Billion in 2022 and is projected to reach USD 12.80 Billion by 2030, growing at a CAGR of 22.40% from 2024 to 2030.
The AI-based edge computing chip market witnessed significant growth in 2022, valued at approximately $4.5 billion. This burgeoning sector is projected to experience a robust compound annual growth rate (CAGR) of around 23.7% from 2023 to 2030. The surge in demand for real-time data processing and low-latency applications, driven by advancements in artificial intelligence and machine learning, has been pivotal in this market's expansion. Key drivers include the increasing adoption of edge computing solutions across various industries such as automotive, healthcare, and manufacturing, all of which require high-speed data analysis and processing capabilities directly at the edge of the network.
Opportunities in this market are broad and multifaceted, particularly as enterprises seek to enhance operational efficiency and gain competitive advantages through intelligent edge devices. The integration of AI with edge computing is expected to unlock new possibilities in areas such as smart cities, autonomous vehicles, and industrial IoT. Additionally, emerging markets in regions like Asia-Pacific and Latin America are witnessing accelerated growth due to rapid urbanization and increased investment in technological infrastructure. These factors collectively present a fertile ground for innovation and expansion within the AI-based edge computing chip sector.
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Cambricon
Nvidia
Huawei Hisilicon
Horizon Robotics
ARM
Intel
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global AI based Edge Computing Chip Market
Smart Manufacturing
Smart Home
Smart Retail
Smart Transportation
Smart Finance
Smart Medical
Smart Driving
Other
Based on Types the Market is categorized into Below types that held the largest AI based Edge Computing Chip market share In 2023.
12nm
16nm
Others
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global AI based Edge Computing Chip Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global AI based Edge Computing Chip Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global AI based Edge Computing Chip Market, By Type
6. Global AI based Edge Computing Chip Market, By Application
7. Global AI based Edge Computing Chip Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global AI based Edge Computing Chip Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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