Global Artificial Intelligence for Edge Devices Market is estimated to be valued US$ XX.X million in 2019. The report on Artificial Intelligence for Edge Devices Market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, etc. for the forecast year up to 2029. The global artificial intelligence for edge devices market is segmented on the basis of Type, Application and geography.
In 2019, the North America market is valued US$ XX.X million and the market share is estimated X.X%, and it is expected to be US$ XX.X million and X.X% in 2029, with a CAGR X.X% from 2020 to 2029.
Artificial Intelligence for Edge Devices Market Scope:
By type, the market is segmented into Hardware, and Software. By Application, the market is divided into Automotive, Consumer and Enterprise Robotics, Drones, Head-Mounted Displays, Smart Speakers, Mobile Phones, PCs/Tablets, and Security Cameras.
Based on geography, the market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include Alibaba, Apple, Arm, Baidu, CEVA Logistics, Cambricon, Google, Horizon Robotics, Intel, Kneron, MediaTek, Mobileye, Movidius, Mythic, NVIDIA, Qualcomm, and Edge AI Hardware Enablers.Key Market Segments
Type
Hardware
Software
Application
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Mobile Phones
PCs/Tablets
Security Cameras
Key Market Players included in the report:
Alibaba
Apple
Arm
Baidu
CEVA Logistics
Cambricon
Horizon Robotics
Intel
Kneron
MediaTek
Mobileye
Movidius
Mythic
NVIDIA
Qualcomm
Edge AI Hardware Enablers
Reasons to Get this Report:
In an insight outlook, this research report has dedicated to several quantities of analysis – industry research (global industry trends) and Artificial Intelligence for Edge Devices Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Artificial Intelligence for Edge Devices Market; high-growth regions; and market drivers, restraints, and also market chances.
The analysis covers Artificial Intelligence for Edge Devices Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Artificial Intelligence for Edge Devices Market across sections such as also Application and representatives.
Additionally, the analysis also has a comprehensive review of the crucial players on the Artificial Intelligence for Edge Devices Market together side their company profiles, SWOT analysis, latest advancements, and business plans.The analysis objectives of the report are:
To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
To know the Artificial Intelligence for Edge Devices Market by pinpointing its many subsegments.
To profile the important players and analyze their growth plans.
To endeavor the amount and value of Artificial Intelligence for Edge Devices sub-markets, depending on key regions (various vital states).
To analyze Artificial Intelligence for Edge Devices Market concerning growth trends, prospects, and also their participation in the entire sector.
To examine and study the Artificial Intelligence for Edge Devices Market size (volume & value) from the company, essential regions/countries, products, and Application, background information from 2013 to 2018, and also prediction to 2029.
Primary worldwide Artificial Intelligence for Edge Devices Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.
1. Artificial Intelligence for Edge Devices Market Introduction
1.1. Definition
1.2. Taxonomy
1.3. Research Scope2. Executive Summary
2.1. Key Findings by Major Segments
2.2. Top strategies by Major Players3. Global Artificial Intelligence for Edge Devices Market Overview
3.1. Artificial Intelligence for Edge Devices Market Dynamics
3.1.1. Drivers
3.1.2. Opportunities
3.1.3. Restraints
3.1.4. Challenges 3.2. PESTLE Analysis
3.3. Opportunity Map Analysis
3.4. PORTER’S Five Forces Analysis
3.5. Market Competition Scenario Analysis
3.6. Product Life Cycle Analysis
3.7. Opportunity Orbits
3.8. Production Analysis by Region/Company
3.9. Industry chain Analysis
3.10. Marketing Strategy4. Global Artificial Intelligence for Edge Devices Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028
4.1. Global Artificial Intelligence for Edge Devices Market Analysis by Type: Introduction
4.2. Market Size and Forecast by Region
4.3. Hardware
4.4. Software5. Global Artificial Intelligence for Edge Devices Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028
5.1. Global Artificial Intelligence for Edge Devices Market Analysis by Application: Introduction
5.2. Market Size and Forecast by Region
5.3. Automotive
5.4. Consumer and Enterprise Robotics
5.5. Drones
5.6. Head-Mounted Displays
5.7. Smart Speakers
5.8. Mobile Phones
5.9. PCs/Tablets
5.10. Security Cameras6. Global Artificial Intelligence for Edge Devices Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028
6.1. North America
6.1.1. North America Artificial Intelligence for Edge Devices Market: Regional Trend Analysis
6.1.1.1. US
6.1.1.2. Canada
6.1.1.3. Mexico
6.2.1. Europe
6.2.1. Europe Artificial Intelligence for Edge Devices Market: Regional Trend Analysis
6.2.1.1. Germany
6.2.1.2. France
6.2.1.3. UK
6.2.1.4. Russia
6.2.1.5. Italy
6.2.1.6. Spain
6.2.1.7. Rest of Europe
6.3. Asia-Pacific
6.3.1. Asia-Pacific Artificial Intelligence for Edge Devices Market: Regional Trend Analysis
6.3.1.1. China
6.3.1.2. Japan
6.3.1.3. Korea
6.3.1.4. India
6.3.1.5. Rest of Asia-Pacific
6.4. Latin America
6.4.1. Latin America Artificial Intelligence for Edge Devices Market: Regional Trend Analysis
6.4.1.1. Brazil
6.4.1.2. Argentina
6.4.1.3. Rest of Latin America
6.5. Middle East and Africa
6.5.1. Middle East and Africa Artificial Intelligence for Edge Devices Market: Regional Trend Analysis
6.5.1.1. GCC
6.5.1.2. South Africa
6.5.1.3. Israel
6.5.1.4. Rest of MEA
7. Global Artificial Intelligence for Edge Devices Market Competitive Landscape, Market Share Analysis, and Company Profiles
7.1. Market Share Analysis
7.2. Company Profiles
7.3. Alibaba
7.3.1. Company Overview
7.3.2. Financial Highlights
7.3.3. Product Portfolio
7.3.4. SWOT Analysis
7.3.5. Key Strategies and Developments 7.4. Apple
7.4.1. Company Overview
7.4.2. Financial Highlights
7.4.3. Product Portfolio
7.4.4. SWOT Analysis
7.4.5. Key Strategies and Developments 7.5. Arm
7.5.1. Company Overview
7.5.2. Financial Highlights
7.5.3. Product Portfolio
7.5.4. SWOT Analysis
7.5.5. Key Strategies and Developments 7.6. Baidu
7.6.1. Company Overview
7.6.2. Financial Highlights
7.6.3. Product Portfolio
7.6.4. SWOT Analysis
7.6.5. Key Strategies and Developments 7.7. CEVA Logistics
7.7.1. Company Overview
7.7.2. Financial Highlights
7.7.3. Product Portfolio
7.7.4. SWOT Analysis
7.7.5. Key Strategies and Developments 7.8. Cambricon
7.8.1. Company Overview
7.8.2. Financial Highlights
7.8.3. Product Portfolio
7.8.4. SWOT Analysis
7.8.5. Key Strategies and Developments 7.9. Google
7.9.1. Company Overview
7.9.2. Financial Highlights
7.9.3. Product Portfolio
7.9.4. SWOT Analysis
7.9.5. Key Strategies and Developments 7.10. Horizon Robotics
7.10.1. Company Overview
7.10.2. Financial Highlights
7.10.3. Product Portfolio
7.10.4. SWOT Analysis
7.10.5. Key Strategies and Developments 7.11. Intel
7.11.1. Company Overview
7.11.2. Financial Highlights
7.11.3. Product Portfolio
7.11.4. SWOT Analysis
7.11.5. Key Strategies and Developments 7.12. Kneron
7.12.1. Company Overview
7.12.2. Financial Highlights
7.12.3. Product Portfolio
7.12.4. SWOT Analysis
7.12.5. Key Strategies and Developments 7.13. MediaTek
7.13.1. Company Overview
7.13.2. Financial Highlights
7.13.3. Product Portfolio
7.13.4. SWOT Analysis
7.13.5. Key Strategies and Developments 7.14. Mobileye
7.14.1. Company Overview
7.14.2. Financial Highlights
7.14.3. Product Portfolio
7.14.4. SWOT Analysis
7.14.5. Key Strategies and Developments 7.15. Movidius
7.15.1. Company Overview
7.15.2. Financial Highlights
7.15.3. Product Portfolio
7.15.4. SWOT Analysis
7.15.5. Key Strategies and Developments 7.16. Mythic
7.16.1. Company Overview
7.16.2. Financial Highlights
7.16.3. Product Portfolio
7.16.4. SWOT Analysis
7.16.5. Key Strategies and Developments 7.17. NVIDIA
7.17.1. Company Overview
7.17.2. Financial Highlights
7.17.3. Product Portfolio
7.17.4. SWOT Analysis
7.17.5. Key Strategies and Developments 7.18. Qualcomm
7.18.1. Company Overview
7.18.2. Financial Highlights
7.18.3. Product Portfolio
7.18.4. SWOT Analysis
7.18.5. Key Strategies and Developments 7.19. Edge AI Hardware Enablers
7.19.1. Company Overview
7.19.2. Financial Highlights
7.19.3. Product Portfolio
7.19.4. SWOT Analysis
7.19.5. Key Strategies and Developments
8. Assumptions and Acronyms
9. Research Methodology
10. Contact