Artificial Intelligence (AI) Edge Computing Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis
MARKET OVERVIEW
Edge AI combines Artificial Intelligence and edge computing. The AI algorithms are run on devices capable of edge computing. The advantage of this is that the data can be processed in real-time, without having to connect to a cloud. Edge AI devices include smart speakers, smart phones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics.
MARKET SCOPE
The "Global Artificial Intelligence (AI) Edge Computing Analysis to 2031" is a specialized and in-depth study of the electronics and semiconductor industry with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence (AI) edge computing market with detailed market segmentation by offering, end-user, and geography. The report provides key statistics on the market status of the leading artificial intelligence (AI) edge computing market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
MARKET DYNAMICS
Drivers:
Restraints
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence (AI) edge computing market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence (AI) edge computing market in these regions.
IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
By Offering
By End-User
MARKET PLAYERS
The report covers key developments in the artificial intelligence (AI) edge computing as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from artificial intelligence (AI) edge computing market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence (AI) edge computing in the global market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence (AI) edge computing. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
Edge AI combines Artificial Intelligence and edge computing. The AI algorithms are run on devices capable of edge computing. The advantage of this is that the data can be processed in real-time, without having to connect to a cloud. Edge AI devices include smart speakers, smart phones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics.
MARKET SCOPE
The "Global Artificial Intelligence (AI) Edge Computing Analysis to 2031" is a specialized and in-depth study of the electronics and semiconductor industry with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence (AI) edge computing market with detailed market segmentation by offering, end-user, and geography. The report provides key statistics on the market status of the leading artificial intelligence (AI) edge computing market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
- Based on offering, the global artificial intelligence (AI) edge computing is segmented into hardware, solutions, and services.
- On the basis of end-user, the market is segmented into manufacturing, healthcare, transportation, government, media and entertainment, energy and utilities, telecom and IT, retail, and others.
MARKET DYNAMICS
Drivers:
- Rapid growth in the number of intelligent applications.
Restraints
- Privacy and security concerns related to edge AI solutions.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence (AI) edge computing market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence (AI) edge computing market in these regions.
IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
Artificial Intelligence (AI) Edge Computing Market Report Analysis
Artificial Intelligence (AI) Edge Computing Market
-
CAGR (2023 - 2031)XX% -
Market Size 2023
US$ XX Million -
Market Size 2031
US$ XX Million
Report Coverage
- Market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
- Key future trends
- Detailed PEST/Porter’s Five Forces and SWOT analysis
- Industry landscape and competition analysis & recent developments
- Detailed company profiles
- Global and regional market analysis covering key market trends, major players, regulations, and recent market developments
Key Players
- Cisco Systems Inc
- ClearBlade Inc
- FogHorn Systems
- Hewlett Packard Enterprise
- Huawei Technologies Co Ltd
- IBM Corporation
- Nokia Networks
- Rigado LLC
- Saguna Networks Ltd
Regional Overview
- North America
- Europe
- Asia-Pacific
- South and Central America
- Middle East and Africa
Market Segmentation
By Offering
- Hardware
- Solutions
- Services
By End-User
- Manufacturing
- Healthcare
- Transportation
- Government
- Media and Entertainment
- Energy and Utilities
- Telecom and IT
- Retail
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
The report covers key developments in the artificial intelligence (AI) edge computing as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from artificial intelligence (AI) edge computing market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence (AI) edge computing in the global market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence (AI) edge computing. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- Cisco Systems, Inc.
- ClearBlade, Inc.
- FogHorn Systems
- Hewlett Packard Enterprise
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Nokia Networks
- Rigado, LLC
- Saguna Networks Ltd.
- Vapor IO
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
Artificial Intelligence (AI) Edge Computing Market Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ XX Million |
| Market Size by 2031 | US$ XX Million |
| Global CAGR (2023 - 2031) | XX% |
| Historical Data | 2021-2022 |
| Forecast period | 2024-2031 |
| Segments Covered |
By Offering
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
|
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
The List of Companies
1. Cisco Systems, Inc.
2. ClearBlade, Inc.
3. FogHorn Systems
4. Hewlett Packard Enterprise
5. Huawei Technologies Co. Ltd.
6. IBM Corporation
7. Nokia Networks
8. Rigado, LLC
9. Saguna Networks Ltd.
10. Vapor IO
1. Cisco Systems, Inc.
2. ClearBlade, Inc.
3. FogHorn Systems
4. Hewlett Packard Enterprise
5. Huawei Technologies Co. Ltd.
6. IBM Corporation
7. Nokia Networks
8. Rigado, LLC
9. Saguna Networks Ltd.
10. Vapor IO
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