Artificial Intelligence for Edge Device Trends and forecast
The future of the global artificial intelligence for edge device market looks promising with opportunities in the automotive, consumer and enterprise robotic, drone, head-mounted display, smart speaker, and mobile phone markets. The global artificial intelligence for edge device market is expected to grow with a CAGR of 19.0% from 2024 to 2030. The major drivers for this market are increasing adoption of IoT devices and growing concerns about data privacy and security.Artificial Intelligence for Edge Device by Segment
The study includes a forecast for the global artificial intelligence for edge device by type, application, and region.Artificial Intelligence for Edge Device Market by Type [Shipment Analysis by Value from 2018 to 2030]
- Hardware
- Software
Artificial Intelligence for Edge Device Market by Application [Shipment Analysis by Value from 2018 to 2030]
- Automotive
- Consumer and Enterprise Robotics
- Drones
- Head-Mounted Displays
- Smart Speakers
- Mobile Phones
- Others
Artificial Intelligence for Edge Device Market by Region [Shipment Analysis by Value from 2018 to 2030]
- North America
- Europe
- Asia Pacific
- The Rest of the World
List of Artificial Intelligence Companies for Edge Device Market
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies artificial intelligence companies for edge device market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence companies for edge device market are profiled in this report include-- Alibaba
- Apple
- Arm
- Baidu
- CEVA Logistics
- Cambricon
Artificial Intelligence for Edge Device Market Insights
The publisher forecasts that hardware is expected to witness highest growth over the forecast period due to growing demand for AI-powered devices.Within this market, mobile phone is expected to witness highest growth due to rise in adaptation of mobile phones.
North America will remain the largest region over the forecast period due to rising adoption of edge computing and IoT devices and growing demand of smart home products.
Features of the Global Artificial Intelligence for Edge Device Market
- Market Size Estimates: Artificial intelligence for edge device market size estimation in terms of value ($B).
- Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
- Segmentation Analysis: Artificial intelligence for edge device market size by type, application, and region in terms of value ($B).
- Regional Analysis: Artificial intelligence for edge device market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
- Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the artificial intelligence for edge device market.
- Strategic Analysis: This includes M&A, new product development, and competitive landscape of the artificial intelligence for edge device market.
- Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for artificial intelligence for edge device market?Answer: The global artificial intelligence for edge device market is expected to grow with a CAGR of 19.0% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the artificial intelligence for edge device market?
Answer: The major drivers for this market are increasing adoption of IoT devices and growing concerns about data privacy and security.
Q3. What are the major segments for artificial intelligence for edge device market?
Answer: The future of the artificial intelligence for edge device market looks promising with opportunities in the automotive, consumer and enterprise robotic, drone, head-mounted display, smart speaker, and mobile phone markets.
Q4. Who are the key artificial intelligence for edge device market companies?
Answer: Some of the key artificial intelligence for edge device companies are as follows:
- Alibaba
- Apple
- Arm
- Baidu
- CEVA Logistics
- Cambricon
Answer: The publisher forecasts that hardware is expected to witness highest growth over the forecast period due to growing demand for AI-powered devices.
Q6. In artificial intelligence for edge device market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to rising adoption of edge computing and IoT devices and growing demand of smart home products.
Q7. Do we receive customization in this report?
Answer: Yes,the publisher provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the artificial intelligence for edge device market by type (hardware and software), application (automotive, consumer and enterprise robotics, drones, head-mounted displays, smart speakers, mobile phones, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Global Artificial Intelligence for Edge Device Market: Market Dynamics
3. Market Trends and forecast Analysis from 2018 to 2030
4. Market Trends and forecast Analysis by Region from 2018 to 2030
5. Competitor Analysis
6. Growth Opportunities and Strategic Analysis
7. Company Profiles of Leading Players
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Alibaba
- Apple
- Arm
- Baidu
- CEVA Logistics
- Cambricon
Methodology
The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the analyst team. The analysts used the following sources for the creation and completion of this valuable report:
- In-depth interviews of the major players in the market
- Detailed secondary research from competitors’ financial statements and published data
- Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
- A compilation of the experiences, judgments, and insights of professionals, who have analyzed and tracked the market over the years.
Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.
Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.
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