Global Edge Computing AI Chips 麻豆原创 Growth 2024-2030

Publication ID:

LPI12244970

Publication Date:

December 9, 2024

Pages:

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

Semiconductors [2]

Computing & Electronics [3]

Description:

The global Edge Computing AI Chips market size was valued at US$ million in 2023. With growing demand in downstream market, the Edge Computing AI Chips is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global Edge Computing AI Chips market. Edge Computing AI Chips are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Edge Computing AI Chips. 麻豆原创 players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Edge Computing AI Chips market.
Following a strong growth of 26.2 percent in the year 2021, WSTS revised it down to a single digit growth for the worldwide semiconductor market in 2022 with a total size of US$580 billion, up 4.4 percent. WSTS lowered growth estimation as inflation rises and end markets seeing weaker demand, especially those exposed to consumer spending. While some major categories are still double-digit year-over-year growth in 2022, led by Analog with 20.8 percent, Sensors with 16.3 percent, and Logic with 14.5 percent growth. Memory declined with 12.6 percent year over year. In 2022, all geographical regions showed double-digit growth except Asia Pacific. The largest region, Asia Pacific, declined 2.0 percent. Sales in the Americas were US$142.1 billion, up 17.0% year-on-year, sales in Europe were US$53.8 billion, up 12.6% year-on-year, and sales in Japan were US$48.1 billion, up 10.0% year-on-year. However, sales in the largest Asia-Pacific region were US$336.2 billion, down 2.0% year-on-year.
Key Features:
The report on Edge Computing AI Chips market reflects various aspects and provide valuable insights into the industry.
麻豆原创 Size and Growth: The research report provide an overview of the current size and growth of the Edge Computing AI Chips market. It may include historical data, market segmentation by Type (e.g., Edge Terminal Equipment Chip, Edge Server Chip), and regional breakdowns.
麻豆原创 Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Edge Computing AI Chips market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Edge Computing AI Chips market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Edge Computing AI Chips industry. This include advancements in Edge Computing AI Chips technology, Edge Computing AI Chips new entrants, Edge Computing AI Chips new investment, and other innovations that are shaping the future of Edge Computing AI Chips.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Edge Computing AI Chips market. It includes factors influencing customer ' purchasing decisions, preferences for Edge Computing AI Chips product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Edge Computing AI Chips market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Edge Computing AI Chips market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Edge Computing AI Chips market.
麻豆原创 Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Edge Computing AI Chips industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Edge Computing AI Chips market.
麻豆原创 Segmentation:
Edge Computing AI Chips 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.
Segmentation by type
Edge Terminal Equipment Chip
Edge Server Chip
Segmentation by application
Smart Manufacturing
Smart 麻豆原创
Smart Logistics
Smart Farm
Internet of Vehicles
Energy Facility Monitoring
Security Prevention and Control
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Nvidia
Huawei
Qualcomm
Google
Arm Holdings
Intel
Key Questions Addressed in this Report
What is the 10-year outlook for the global Edge Computing AI Chips market?
What factors are driving Edge Computing AI Chips market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Edge Computing AI Chips market opportunities vary by end market size?
How does Edge Computing AI Chips break out type, application?

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Edge Computing AI Chips Annual Sales 2019-2030
2.1.2 World Current & Future Analysis for Edge Computing AI Chips by Geographic Region, 2019, 2023 & 2030
2.1.3 World Current & Future Analysis for Edge Computing AI Chips by Country/Region, 2019, 2023 & 2030
2.2 Edge Computing AI Chips Segment by Type
2.2.1 Edge Terminal Equipment Chip
2.2.2 Edge Server Chip
2.3 Edge Computing AI Chips Sales by Type
2.3.1 Global Edge Computing AI Chips Sales 麻豆原创 Share by Type (2019-2024)
2.3.2 Global Edge Computing AI Chips Revenue and 麻豆原创 Share by Type (2019-2024)
2.3.3 Global Edge Computing AI Chips Sale Price by Type (2019-2024)
2.4 Edge Computing AI Chips Segment by Application
2.4.1 Smart Manufacturing
2.4.2 Smart 麻豆原创
2.4.3 Smart Logistics
2.4.4 Smart Farm
2.4.5 Internet of Vehicles
2.4.6 Energy Facility Monitoring
2.4.7 Security Prevention and Control
2.5 Edge Computing AI Chips Sales by Application
2.5.1 Global Edge Computing AI Chips Sale 麻豆原创 Share by Application (2019-2024)
2.5.2 Global Edge Computing AI Chips Revenue and 麻豆原创 Share by Application (2019-2024)
2.5.3 Global Edge Computing AI Chips Sale Price by Application (2019-2024)
3 Global Edge Computing AI Chips by Company
3.1 Global Edge Computing AI Chips Breakdown Data by Company
3.1.1 Global Edge Computing AI Chips Annual Sales by Company (2019-2024)
3.1.2 Global Edge Computing AI Chips Sales 麻豆原创 Share by Company (2019-2024)
3.2 Global Edge Computing AI Chips Annual Revenue by Company (2019-2024)
3.2.1 Global Edge Computing AI Chips Revenue by Company (2019-2024)
3.2.2 Global Edge Computing AI Chips Revenue 麻豆原创 Share by Company (2019-2024)
3.3 Global Edge Computing AI Chips Sale Price by Company
3.4 Key Manufacturers Edge Computing AI Chips Producing Area Distribution, Sales Area, Product Type
3.4.1 Key Manufacturers Edge Computing AI Chips Product Location Distribution
3.4.2 Players Edge Computing AI Chips Products Offered
3.5 麻豆原创 Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) & (2019-2024)
3.6 New Products and Potential Entrants
3.7 Mergers & Acquisitions, Expansion
4 World Historic Review for Edge Computing AI Chips by Geographic Region
4.1 World Historic Edge Computing AI Chips 麻豆原创 Size by Geographic Region (2019-2024)
4.1.1 Global Edge Computing AI Chips Annual Sales by Geographic Region (2019-2024)
4.1.2 Global Edge Computing AI Chips Annual Revenue by Geographic Region (2019-2024)
4.2 World Historic Edge Computing AI Chips 麻豆原创 Size by Country/Region (2019-2024)
4.2.1 Global Edge Computing AI Chips Annual Sales by Country/Region (2019-2024)
4.2.2 Global Edge Computing AI Chips Annual Revenue by Country/Region (2019-2024)
4.3 Americas Edge Computing AI Chips Sales Growth
4.4 APAC Edge Computing AI Chips Sales Growth
4.5 Europe Edge Computing AI Chips Sales Growth
4.6 Middle East & Africa Edge Computing AI Chips Sales Growth
5 Americas
5.1 Americas Edge Computing AI Chips Sales by Country
5.1.1 Americas Edge Computing AI Chips Sales by Country (2019-2024)
5.1.2 Americas Edge Computing AI Chips Revenue by Country (2019-2024)
5.2 Americas Edge Computing AI Chips Sales by Type
5.3 Americas Edge Computing AI Chips Sales by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Edge Computing AI Chips Sales by Region
6.1.1 APAC Edge Computing AI Chips Sales by Region (2019-2024)
6.1.2 APAC Edge Computing AI Chips Revenue by Region (2019-2024)
6.2 APAC Edge Computing AI Chips Sales by Type
6.3 APAC Edge Computing AI Chips Sales by Application
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 China Taiwan
7 Europe
7.1 Europe Edge Computing AI Chips by Country
7.1.1 Europe Edge Computing AI Chips Sales by Country (2019-2024)
7.1.2 Europe Edge Computing AI Chips Revenue by Country (2019-2024)
7.2 Europe Edge Computing AI Chips Sales by Type
7.3 Europe Edge Computing AI Chips Sales by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Edge Computing AI Chips by Country
8.1.1 Middle East & Africa Edge Computing AI Chips Sales by Country (2019-2024)
8.1.2 Middle East & Africa Edge Computing AI Chips Revenue by Country (2019-2024)
8.2 Middle East & Africa Edge Computing AI Chips Sales by Type
8.3 Middle East & Africa Edge Computing AI Chips Sales by Application
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Manufacturing Cost Structure Analysis
10.1 Raw Material and Suppliers
10.2 Manufacturing Cost Structure Analysis of Edge Computing AI Chips
10.3 Manufacturing Process Analysis of Edge Computing AI Chips
10.4 Industry Chain Structure of Edge Computing AI Chips
11 麻豆原创ing, Distributors and Customer
11.1 Sales Channel
11.1.1 Direct Channels
11.1.2 Indirect Channels
11.2 Edge Computing AI Chips Distributors
11.3 Edge Computing AI Chips Customer
12 World Forecast Review for Edge Computing AI Chips by Geographic Region
12.1 Global Edge Computing AI Chips 麻豆原创 Size Forecast by Region
12.1.1 Global Edge Computing AI Chips Forecast by Region (2025-2030)
12.1.2 Global Edge Computing AI Chips Annual Revenue Forecast by Region (2025-2030)
12.2 Americas Forecast by Country
12.3 APAC Forecast by Region
12.4 Europe Forecast by Country
12.5 Middle East & Africa Forecast by Country
12.6 Global Edge Computing AI Chips Forecast by Type
12.7 Global Edge Computing AI Chips Forecast by Application
13 Key Players Analysis
13.1 Nvidia
13.1.1 Nvidia Company Information
13.1.2 Nvidia Edge Computing AI Chips Product Portfolios and Specifications
13.1.3 Nvidia Edge Computing AI Chips Sales, Revenue, Price and Gross Margin (2019-2024)
13.1.4 Nvidia Main Business Overview
13.1.5 Nvidia Latest Developments
13.2 Huawei
13.2.1 Huawei Company Information
13.2.2 Huawei Edge Computing AI Chips Product Portfolios and Specifications
13.2.3 Huawei Edge Computing AI Chips Sales, Revenue, Price and Gross Margin (2019-2024)
13.2.4 Huawei Main Business Overview
13.2.5 Huawei Latest Developments
13.3 Qualcomm
13.3.1 Qualcomm Company Information
13.3.2 Qualcomm Edge Computing AI Chips Product Portfolios and Specifications
13.3.3 Qualcomm Edge Computing AI Chips Sales, Revenue, Price and Gross Margin (2019-2024)
13.3.4 Qualcomm Main Business Overview
13.3.5 Qualcomm Latest Developments
13.4 Google
13.4.1 Google Company Information
13.4.2 Google Edge Computing AI Chips Product Portfolios and Specifications
13.4.3 Google Edge Computing AI Chips Sales, Revenue, Price and Gross Margin (2019-2024)
13.4.4 Google Main Business Overview
13.4.5 Google Latest Developments
13.5 Arm Holdings
13.5.1 Arm Holdings Company Information
13.5.2 Arm Holdings Edge Computing AI Chips Product Portfolios and Specifications
13.5.3 Arm Holdings Edge Computing AI Chips Sales, Revenue, Price and Gross Margin (2019-2024)
13.5.4 Arm Holdings Main Business Overview
13.5.5 Arm Holdings Latest Developments
13.6 Intel
13.6.1 Intel Company Information
13.6.2 Intel Edge Computing AI Chips Product Portfolios and Specifications
13.6.3 Intel Edge Computing AI Chips Sales, Revenue, Price and Gross Margin (2019-2024)
13.6.4 Intel Main Business Overview
13.6.5 Intel Latest Developments
14 Research Findings and Conclusion

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