Edge AI Software Market Share 2022-2030 Global Industry Research report presents an in-depth analysis of the Edge AI Software market size, growth, share, segments, manufacturers, and technologies, key trends, market drivers, challenges, standardization, deployment models, opportunities, future roadmap and 2030 forecast.
Global “Edge AI Software Market“ (2022-2030) research report offers in-depth analysis on Market size, share, drivers, restraints, and so on. Moreover, this report includes the approximate study of different segments in terms of overall growth, development, opportunity, business strategies, procedures etc. for the forecast period of 2030. The report contains the fundamentals produced and advancements by different application Share and The latest trend gaining momentum in the market that increases awareness about Edge AI Software market. The report supplies a comprehensive analysis of business aspects like global Edge AI Software market size, recent technological advances, and inventions. The research report consists of: introduction of the market, key players, opportunities, restraints, product and type classification, and overall market analysis.
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Edge AI Software Market Insight:
Product Overview
Edge Artificial Intelligence (AI) software is a combination of cutting-edge computing and machine learning technology. This AI app converts raw data into 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 no need to remain attached to devices as it can be independently processed without any contact and is able to make decisions.
Market Highlights
The global edge AI software market is expected to 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 to 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 to 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 to fuel the growth of the global edge AI software market.
Global Edge AI Software Market Opportunity Analysis
Global Edge AI Software Market: Segments
Platforms segment to grow at the fastest CAGR of % during 2020-2030
The global edge AI software market is segmented by components into solutions (software tools, platforms) and services (training and consulting, system integration and testing, support and maintenance). Among these, the platform segments comprised of the largest market share of % 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
Video and Image Recognition segment to grow at the fastest CAGR of % during 2020-2030
The worldwide edge AI software market is segmented by data sources into video and image recognition, speech recognition, biometric data, sensor data, and mobile data. Among these, the video and recognition segment is estimated to hold the largest market share of % in 2019. Most of the vendors in the market offer edge AI software to 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 to discover information from the videos.
By Data Sources (in %), Global Edge AI Software Market, 2019
The Autonomous Vehicles segment to surge at the fastest CAGR of % during 2020-2030
The global edge AI software market is segmented by application into autonomous vehicles, access management, video surveillance, remote monitoring and predictive maintenance, telemetry (location services), and energy management. Among these, the autonomous vehicles segment is witnessed to hold the largest market share of % in the year 2019. The AI in self-driving cars runs on local processors and interprets the virtual world model to decide what actions to take with the car. With the help of AI-based autonomous vehicles, automakers can analyze the driving patterns and help improve roadways to reduce accidents.
By Application (in %), Global Edge AI Software Market, 2019
GlobalGlobal Edge AI Software Market: Drivers and Restraints
Quick Prototype
Transforming the business requirements into 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 to 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. To 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 to predict effort and budget.
Global Edge AI Software Market: Regions
North America expected to be the fastest-growing region with a CAGR of % during 2020-2030
The global edge AI software market is segmented by region into North America, Latin America, Europe, Middle East and Africa, and the Asia Pacific. Among these, North America is witnessed to hold the largest market share of % 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 to contribute to the market growth during the forecast period.
By Region (in %), Global Edge AI Software Market, 2019
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 also to 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 to predict. Yet the adverse effect of COVID-19 can be felt upon the global edge AI software market owing to the fluctuation in demand for products associated with AI in edge software, the effect on production units due to 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 also contains analysis on:
Edge AI Software Market Segments:
By Component
Solutions
Software Tools
Platform
Services
Training and Consulting
System Integration and Testing
Support and Maintenance
By Application
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring and Predictive Maintenance
Telemetry
Energy Management
By Data Sources
Video and Image Recognition
Speech Recognition
Biometric Data
Sensor Data
Mobile Data
By Region
North America
Latin America
Europe
Middle East and Africa
Asia Pacific
Edge AI Software Market Dynamics
Edge AI Software Market Size
Supply and Demand
Current Trends/Issues/Challenges
Competition and 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 to hold the largest market share?
At what CAGR is the market anticipated to grow between 2020 and 2030?
Who 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?
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Market Overview:
The globalEdge AI Softwaremarket size is segmented on the basis of application, end user, and region, with focus on manufacturers in different regions. The study has detailed the analysis of different factors that increase the industries growth. This study also provides the scope of different segments and applications that can potentially influence the industry in the future. Pricing analysis is covered in this report according to each type, manufacturer, regional analysis, price.Edge AI SoftwareMarket Share report provides overview of market value structure, cost drivers, various driving factors and analyse industry atmosphere, then studies global outline of industry size, demand, application, revenue, product, region and segments. In addition, this report introduces market competition situation among the distributers and manufacturers profile, besides, market value analysis and cost chain structure are covered in this report.
TheEdge AI Softwaremarket has witnessed growth from USD milliontill2022. With the CAGR of, this market is estimated to reach USD million in 2030.The report focuses on theEdge AI Softwaremarket size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. Furthermore, the report provides detailed cost analysis, supply chain. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Consumer behaviour analysis and market dynamics (drivers, restraints, opportunities) provides crucial information for knowing theEdge AI Softwaremarket.
Edge AI Software Market Trend for Development and marketing channels are analysed. Finally, the feasibility of new investment projects is assessed and overall research conclusions offered. Edge AI Software Market Report also mentions market share accrued by each product in the Edge AI Software market, along with the production growth.
Top countries data covered in this report:
- North America (United States, Canada and Mexico)
- Europe (Germany, UK, France, Italy, Russia and Turkey etc.)
- Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
- South America (Brazil etc.)
- Middle East and Africa (Egypt and GCC Countries)
What our report offers:
- Edge AI Software Market share assessments for the regional and country-level segments.
- Strategic recommendations for the new entrants.
- Edge AI Software Market forecasts for all the mentioned segments, sub-segments, and the regional markets.
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations).
- Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter’s five forces analysis, SWOT analysis, etc.
- Strategic recommendations in key business segments based on the market estimations.
- Competitive landscaping mapping the key common trends.
- Company profiling with detailed strategies, financials, and recent developments.
- Supply chain trends mapping the latest technological advancements.
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Table of Content:
1. Executive Summary
2. Edge AI Software
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. Research Methodology
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. Average Pricing Analysis
5. Market Dynamics
5.1. Growth Drivers
5.2. Restraints
5.3. Opportunity
5.4. Trends
Continued . . .
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