Edge AI software Market Trends, Application, Future Business Growth, Solutions, Demand, Top Manufacturers, Challenges, Specifications & Forecast 2028
The global edge AI software market revenue is projected to reach close to USD 3.8 Billion by 2028.
Dallas, United States – April 30, 2021 /MarketersMedia/ —
Rising usage of smart phones and high availability of internet across the globe, rising implementation of AI and other technologies across various sectors in order to provide ease and comfort to the customers as well as to smoothen the work processes for the employees are the major factors that are contributing to the growth of global edge AI software market over the analysis time frame.
Growing adoption of several new technologies, adoption of smart products and applications across the globe by the individuals due to the comfort and rising disposable incomes of the individuals are the major factors that are contributing to the growth of global edge AI software market over the coming years. However, rising risk of malicious attacks, phishing attacks, and other data breach attacks by the attackers which may harm the company are hampering the market growth.
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Also, rising issues regarding the data security, and constant risks of attacks by the hackers and malicious attackers along with threat to the infrastructure of the companies are likely to hamper the industry growth over the analysis period. Considering the geographical analysis, the global edge AI software market is fragmented into Saudi Arabia, Germany, India, Egypt, United States, Canada, Turkey, Korea, Philippines, Poland, Nigeria, Netherlands, Sweden, UAE, China, France, Belgium, Thailand, USA, China, Europe, Columbia, Switzerland, South UK, Chile, Australia, Spain, Italy.
Based on solutions, the global edge Ai software market is segmented into platform, software. In terms of the services, the market is segmented into System Integration and Testing , Training and Consulting Services, and Support and Maintenance. Speaking of data sources, the global edge AI software market is categorized into Sensor Data, Video and Image Recognition, Mobile Data, Speech Recognition, and Biometric Data. With respect to the application spectrum, the market is segmented into Access Management, Telemetry (Location Services), Autonomous Vehicles, Video Surveillance, Energy Management, Remote Monitoring and Predictive Maintenance, and Others. From a verticle landscape, the global edge AI software market is segmented into Government and Public, Telecom, Manufacturing, Energy and Utilities, Healthcare, Automotive, and Others
Based on a competitive spectrum, the market is segmented into Microsoft Corporation (US), TIBCO Software Inc. (US), FogHorn Systems (US), Bragi (Germany), Gorilla SixSq Sàrl (Switzerland), Azion Technologies LLC (US), Octonion SA. (Switzerland), ClearBlade Inc. (US), Alef Edge Inc. (US), StrataHive (India), edgeworx (US), Veea Inc. (US), Invision AI Inc. (Canada), and Kneron Inc. (US), Technology Group (Taiwan), and DeepBrainz AI (India).
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Key Segments of the Global Edge AI software Market
Component Overview, 2018-2028 (USD Million)
Solutions
Software Tools
Platform
Services
Training and Consulting Services
System Integration and Testing
Support and Maintenanc
Data Sources Overview, 2018-2028 (USD Million)
Video and Image Recognition
Speech Recognition
Biometric Data
Sensor Data
Mobile Dat
Application Overview, 2018-2028 (USD Million)
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring and Predictive Maintenance
Telemetry (Location Services)
Energy Management
Others (Point-of-Sales, Field Service Support, Precision Agriculture, Augmented Reality (AR)/Virtual Reality (VR), and Smart Wearables
Verticals Overview, 2018-2028 (USD Million)
Government and Public
Manufacturing
Automotive
Energy and Utilities
Telecom
Healthcare
Others (Retail and eCommerce, Media and Entertainment, and Banking, Financial Services, and Insurance [BFSI])
Table of contents
Chapter 1 Executive Summary
Chapter 2 Research Methodology
2.1 Market Definition
2.2 Market Scope
2.3 Research Approach
2.3.1 Market Size Estimation Methodology
2.3.2 Top-down approach
2.3.3 Bottom-up Approach
2.3.4 Delphi Estimation
2.3.5 Forecasting
2.4 List of Data Sources
2.4.1 Primary Sources
2.4.2 Secondary Sources
2.4.3 Paid Databases
Chapter 3 Market Outlook
3.1 Market Dynamics
3.1.1 Drivers
3.1.1.1 Increasing enterprise workload on cloud
3.1.1.2 Increasing number of smart applications
3.1.2 Restraints
3.1.2.1 Growing security concerns about data confidentiality
3.1.3 Opportunities
3.1.3.1 Emergence of 5G technology
3.1.4 COVID-19 Impact
3.2 Porter’s Five Forces Analysis
3.2.1 Bargaining power of buyers
3.2.2 Bargaining power of suppliers
3.2.3 Threat of new entrants
3.2.4 Threat of substitute products
3.2.5 Competitive Rivalry in the Industry
3.3 Value Chain Analysis
3.4 Market Share by Key Players
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