The design of edge inference chips and acceleration cards is mainly aimed at performing artificial intelligence tasks on edge devices, which are usually far away from data centers and directly face the actual usage environment of users or devices. They are specifically optimized to handle deep learning and other machine learning algorithms, enabling real-time data processing and decision-making locally, thereby reducing data transmission latency and improving response speed. This design makes edge inference chips and acceleration cards very suitable for application scenarios that require fast response and low latency, such as autonomous driving, smart finance, industrial automation, etc.
The global Edge Inference Chips and Acceleration Cards market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Edge Inference Chips and Acceleration Cards is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Edge Inference Chips and Acceleration Cards is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Edge Inference Chips and Acceleration Cards in Smart Transportation is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Edge Inference Chips and Acceleration Cards include Kunlun Core, Cambrian, Huawei, NVIDIA, AMD, Intel, Qualcomm, Hailo, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Edge Inference Chips and Acceleration Cards, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Edge Inference Chips and Acceleration Cards.
The Edge Inference Chips and Acceleration Cards market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Edge Inference Chips and Acceleration Cards market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Edge Inference Chips and Acceleration Cards companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Kunlun Core
Cambrian
Huawei
NVIDIA
AMD
Intel
Qualcomm
Hailo
Segment by Type
Chips
Acceleration Cards
Segment by Application
Smart Transportation
Smart Finance
Industrial Manufacturing
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Edge Inference Chips and Acceleration Cards company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Chips
1.2.3 Acceleration Cards
1.3 麻豆原创 by Application
1.3.1 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Smart Transportation
1.3.3 Smart Finance
1.3.4 Industrial Manufacturing
1.3.5 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Perspective (2019-2030)
2.2 Global Edge Inference Chips and Acceleration Cards Growth Trends by Region
2.2.1 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Edge Inference Chips and Acceleration Cards Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Edge Inference Chips and Acceleration Cards Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Edge Inference Chips and Acceleration Cards 麻豆原创 Dynamics
2.3.1 Edge Inference Chips and Acceleration Cards Industry Trends
2.3.2 Edge Inference Chips and Acceleration Cards 麻豆原创 Drivers
2.3.3 Edge Inference Chips and Acceleration Cards 麻豆原创 Challenges
2.3.4 Edge Inference Chips and Acceleration Cards 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Edge Inference Chips and Acceleration Cards Players by Revenue
3.1.1 Global Top Edge Inference Chips and Acceleration Cards Players by Revenue (2019-2024)
3.1.2 Global Edge Inference Chips and Acceleration Cards Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Edge Inference Chips and Acceleration Cards Revenue
3.4 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Concentration Ratio
3.4.1 Global Edge Inference Chips and Acceleration Cards 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Edge Inference Chips and Acceleration Cards Revenue in 2023
3.5 Global Key Players of Edge Inference Chips and Acceleration Cards Head office and Area Served
3.6 Global Key Players of Edge Inference Chips and Acceleration Cards, Product and Application
3.7 Global Key Players of Edge Inference Chips and Acceleration Cards, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Edge Inference Chips and Acceleration Cards Breakdown Data by Type
4.1 Global Edge Inference Chips and Acceleration Cards Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Edge Inference Chips and Acceleration Cards Forecasted 麻豆原创 Size by Type (2025-2030)
5 Edge Inference Chips and Acceleration Cards Breakdown Data by Application
5.1 Global Edge Inference Chips and Acceleration Cards Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Edge Inference Chips and Acceleration Cards Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Edge Inference Chips and Acceleration Cards 麻豆原创 Size (2019-2030)
6.2 North America Edge Inference Chips and Acceleration Cards 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2019-2024)
6.4 North America Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Edge Inference Chips and Acceleration Cards 麻豆原创 Size (2019-2030)
7.2 Europe Edge Inference Chips and Acceleration Cards 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2019-2024)
7.4 Europe Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Edge Inference Chips and Acceleration Cards 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Edge Inference Chips and Acceleration Cards 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Edge Inference Chips and Acceleration Cards 麻豆原创 Size (2019-2030)
9.2 Latin America Edge Inference Chips and Acceleration Cards 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Edge Inference Chips and Acceleration Cards 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Edge Inference Chips and Acceleration Cards 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Edge Inference Chips and Acceleration Cards 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Kunlun Core
11.1.1 Kunlun Core Company Details
11.1.2 Kunlun Core Business Overview
11.1.3 Kunlun Core Edge Inference Chips and Acceleration Cards Introduction
11.1.4 Kunlun Core Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.1.5 Kunlun Core Recent Development
11.2 Cambrian
11.2.1 Cambrian Company Details
11.2.2 Cambrian Business Overview
11.2.3 Cambrian Edge Inference Chips and Acceleration Cards Introduction
11.2.4 Cambrian Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.2.5 Cambrian Recent Development
11.3 Huawei
11.3.1 Huawei Company Details
11.3.2 Huawei Business Overview
11.3.3 Huawei Edge Inference Chips and Acceleration Cards Introduction
11.3.4 Huawei Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.3.5 Huawei Recent Development
11.4 NVIDIA
11.4.1 NVIDIA Company Details
11.4.2 NVIDIA Business Overview
11.4.3 NVIDIA Edge Inference Chips and Acceleration Cards Introduction
11.4.4 NVIDIA Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.4.5 NVIDIA Recent Development
11.5 AMD
11.5.1 AMD Company Details
11.5.2 AMD Business Overview
11.5.3 AMD Edge Inference Chips and Acceleration Cards Introduction
11.5.4 AMD Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.5.5 AMD Recent Development
11.6 Intel
11.6.1 Intel Company Details
11.6.2 Intel Business Overview
11.6.3 Intel Edge Inference Chips and Acceleration Cards Introduction
11.6.4 Intel Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.6.5 Intel Recent Development
11.7 Qualcomm
11.7.1 Qualcomm Company Details
11.7.2 Qualcomm Business Overview
11.7.3 Qualcomm Edge Inference Chips and Acceleration Cards Introduction
11.7.4 Qualcomm Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.7.5 Qualcomm Recent Development
11.8 Hailo
11.8.1 Hailo Company Details
11.8.2 Hailo Business Overview
11.8.3 Hailo Edge Inference Chips and Acceleration Cards Introduction
11.8.4 Hailo Revenue in Edge Inference Chips and Acceleration Cards Business (2019-2024)
11.8.5 Hailo Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Kunlun Core
Cambrian
Huawei
NVIDIA
AMD
Intel
Qualcomm
Hailo
听
听
*If Applicable.
