Global AI on EDGE Semiconductor Market 2024 by Manufacturers, Regions, Type and Application, Forecast to 2030

Global AI on EDGE Semiconductor Market 2024 by Manufacturers, Regions, Type and Application, Forecast to 2030

AI on EDGE (Edge AI) is the deployment of AI applications in devices throughout the physical world. It’s called “edge AI” because the AI computation is done near the user at the edge of the network, close to where the data is located, rather than centrally in a cloud computing facility or private data centre.

According to our (Global Info Research) latest study, the global AI on EDGE Semiconductor market size was valued at US$ 2797 million in 2023 and is forecast to a readjusted size of USD 8201 million by 2030 with a CAGR of 16.2% during review period.

The core manufacturers of global AI on EDGE Semiconductor include NVIDIA, Intel and AMD Xilinx. The top three companies have a market share of about 45%. Taiwan is the world's largest market for AI on EDGE Semiconductor with a market share of about 59%, followed by China and North America with 11% and 10%, respectively. In terms of product type, Machine Vision is the largest segment with approximately 81% market share. In terms of application, Automotive is the largest downstream segment, accounting for about 43% of the market.

This report is a detailed and comprehensive analysis for global AI on EDGE Semiconductor market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.

Key Features:

Global AI on EDGE Semiconductor market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2019-2030

Global AI on EDGE Semiconductor market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2019-2030

Global AI on EDGE Semiconductor market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2019-2030

Global AI on EDGE Semiconductor market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 2019-2024

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for AI on EDGE Semiconductor

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global AI on EDGE Semiconductor market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, Intel, AMD Xilinx, Google, Qualcomm, NXP, STMicroelectronics, Texas Instruments, Kneron, Hailo, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market Segmentation

AI on EDGE Semiconductor market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Audio And Sound Processing
Machine Vision
Sensor Data Analysis
Others

Market segment by Application
Automotive
Robotics
Smart Manufacturing
Smart City
Security & Surveillance
Others

Major players covered
NVIDIA
Intel
AMD Xilinx
Google
Qualcomm
NXP
STMicroelectronics
Texas Instruments
Kneron
Hailo
Ambarella
Hisilicon
Cambricon
Horizon Robotics
Black Sesame Technologies
Corerain
Amlogic
Ingenic Semiconductor
Fuzhou Rockchip Electronics
OmniVision

Market segment by region, regional analysis covers

North America (United States, Canada, and Mexico)

Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)

South America (Brazil, Argentina, Colombia, and Rest of South America)

Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)

The content of the study subjects, includes a total of 15 chapters:

Chapter 1, to describe AI on EDGE Semiconductor product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top manufacturers of AI on EDGE Semiconductor, with price, sales quantity, revenue, and global market share of AI on EDGE Semiconductor from 2019 to 2024.

Chapter 3, the AI on EDGE Semiconductor competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.

Chapter 4, the AI on EDGE Semiconductor breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2019 to 2030.

Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2019 to 2030.

Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2019 to 2024.and AI on EDGE Semiconductor market forecast, by regions, by Type, and by Application, with sales and revenue, from 2025 to 2030.

Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.

Chapter 13, the key raw materials and key suppliers, and industry chain of AI on EDGE Semiconductor.

Chapter 14 and 15, to describe AI on EDGE Semiconductor sales channel, distributors, customers, research findings and conclusion.