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Product Overview
Edge Artificial Intelligence (AI) software is a combination of cutting-edge computing and machine learning technology. This AI app converts raw data int- moves or events, forecasts, observations without expensive data analysis, and big data. The software tools offered are in the form of frameworks and software development kit that offers the benefit of merging AI capabilities with software apps. With the help of sensors and signals, an AI algorithm is processed on the hardware devices in this edge AI program. There is n- need t- remain attached t- devices as it can be independently processed without any contact and is able t- make decisions.
Market Highlights
The global edge AI software market is expected t- surpass USD 1160 million by 2030 from USD 360 million in 2019 at a CAGR of 30.5% throughout the forecast period i.e. 2020-2030. The global edge AI software market is anticipated t- grow on the back of the rising amount of enterprise workloads on the cloud and the rapid growth in the number of intelligent applications.
Integrating edge devices with AI will help rising risks, latency, and reliability is expected t- drive growth in the edge AI software market across the globe. Additionally, the rising need for real-time operations that are important for robots, self-driving cars, and the increasing demand from various end-users are factors expected t- fuel the growth of the global edge AI software market.
Global Edge AI Software Market Opportunity Analysis
Source: Fatpos Global
Global Edge AI Software Market: Segments
Platforms segment t- grow at the fastest CAGR of xx% during 2020-2030
The global edge AI software market is segmented by components int- solutions (software tools, platforms) and services (training & consulting, system integration & testing, support & maintenance). Among these, the platform segments comprised of the largest market share of xx% in the year 2019. The edge AI platforms offer users AI applications that enable small devices with intelligence and data processing capabilities. The users can extract actionable insights in real-time from the data generated at the edge and enhance the customers' experience.
By Components (in %), Global Edge AI Software Market, 2019
Source: Fatpos Global
Vide- & Image Recognition segment t- grow at the fastest CAGR of xx% during 2020-2030
The worldwide edge AI software market is segmented by data sources int- vide- & image recognition, speech recognition, biometric data, sensor data, and mobile data. Among these, the vide- & recognition segment is estimated t- hold the largest market share of xx% in 2019. Most of the vendors in the market offer edge AI software t- analyze images, videos, gestures, acoustics, and motions, locally on the devices. With the advent of AI and machine learning (ML) in edge devices, users can now extract entities from videos and images and build applications t- discover information from the videos.
By Data Sources (in %), Global Edge AI Software Market, 2019
Source: Fatpos Global
The Autonomous Vehicles segment t- surge at the fastest CAGR of xx% during 2020-2030
The global edge AI software market is segmented
By Application int- autonomous vehicles, access management, vide- surveillance, remote monitoring & predictive maintenance, telemetry (location services), and energy management. Among these, the autonomous vehicles segment is witnessed t- hold the largest market share of xx% in the year 2019. The AI in self-driving cars runs on local processors and interprets the virtual world model t- decide what actions t- take with the car. With the help of AI-based autonomous vehicles, automakers can analyze the driving patterns and help improve roadways t- reduce accidents.
By Application (in %), Global Edge AI Software Market, 2019
Source: Fatpos Global
GlobalGlobal Edge AI Software Market: Drivers and Restraints
Quick Prototype
Transforming the business requirements int- technological solutions needs plenty of time and planning. Therefore, with the help of machine learning, the developers can shorten this process by simply enabling the less technical domain professionals in order t- develop the technologies by using visual interfaces of natural languages.
Accurate Estimates
It is seen that software development always overflows the budget and deadlines pre-decided. T- cope with this, accurate estimates require profound expertise, understanding the context, and being familiar with the team of implementers. Machine learning helps train data from past projects be they user accounts, descriptions of functions, and estimates t- predict effort and budget.
Global Edge AI Software Market: Regions
North America expected t- be the fastest-growing region with a CAGR of xx% during 2020-2030
The global edge AI software market is segmented by region int- North America, Latin America, Europe, Middle East & Africa, and the Asia Pacific. Among these, North America is witnessed t- hold the largest market share of xx% in the year 2019. Growing investments in the data management strategies, the presence of the maximum number of edge AI software vendors, and increasing government spending on AI-based technologies are expected t- contribute t- the market growth during the forecast period.
By Region (in %), Global Edge AI Software Market, 2019
Source: Fatpos Global
The global edge AI software market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR - the United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR - Mexico, Argentina, Brazil and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR - United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey and Rest of Europe
MENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR - North Africa, Israel, GCC, South Africa and Rest of MENA
APAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR - India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia and Rest of APAC
Global Edge AI Software Market: Impact of COVID-19
The COVID-19 has become global stress, not only for human lives, but als- t- industries across different industry verticals. The COVID-19 pandemic has infected several million people globally. With the rising number of active cases on a regular basis, the duration of the pandemic is still difficult t- predict. Yet the adverse effect of COVID-19 can be felt upon the global edge AI software market owing t- the fluctuation in demand for products associated with AI in edge software, the effect on production units due t- the implementation of lockdown norms in many nations worldwide and others.
Global Edge AI Software Market: Key Players
IBM Corporation
Company Overview
Business Strategy
Key Product Offerings
Financial Performance
Key Performance Indicators
Risk Analysis
Recent Development
Regional Presence
SWOT Analysis
Foghorn Systems
Nutanix Inc.
Imagimob
Envision AI
Microsoft
Octonion
View Systems
TIBCO
The global edge AI software market als- contains analysis on:
Edge AI Software Market Segments:
By Component
Solutions
Software Tools
Platform
Services
Training & Consulting
System Integration & Testing
Support & Maintenance
By Application
Autonomous Vehicles
Access Management
Vide- Surveillance
Remote Monitoring & Predictive Maintenance
Telemetry
Energy Management
By Data Sources
Vide- & Image Recognition
Speech Recognition
Biometric Data
Sensor Data
Mobile Data
By Region
North America
Latin America
Europe
Middle East & Africa
Asia Pacific
Edge AI Software Market Dynamics
Edge AI Software Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
FAQs on Global Edge AI Software Market
Which segment is anticipated t- hold the largest market share?
At what CAGR is the market anticipated t- grow between 2020 and 2030?
Wh- are the key players in the global edge AI software market?
What could be the challenging factors for the growth of the worldwide edge AI software market?
What are the growth drivers for the edge AI software market across the globe?