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

Source: Fatpos Global

Global Edge AI Software Market: Segments

Platforms segment to grow at the fastest CAGR of xx% during 2020-2030

The global edge AI software market is segmented by components into 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

Video & Image Recognition segment to grow at the fastest CAGR of xx% during 2020-2030

The worldwide edge AI software market is segmented by data sources into video & image recognition, speech recognition, biometric data, sensor data, and mobile data. Among these, the video & recognition segment is estimated to hold the largest market share of xx% 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

Source: Fatpos Global

The Autonomous Vehicles segment to surge at the fastest CAGR of xx% during 2020-2030

The global edge AI software market is segmented by application into autonomous vehicles, access management, video surveillance, remote monitoring & predictive maintenance, telemetry (location services), and energy management. Among these, the autonomous vehicles segment is witnessed to 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 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

Source: Fatpos Global

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 xx% during 2020-2030

The global edge AI software market is segmented by region into North America, Latin America, Europe, Middle East & Africa, and the Asia Pacific. Among these, North America is witnessed to 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 to contribute to 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 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

Google

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 & Consulting

System Integration & Testing

Support & Maintenance

By Application

Autonomous Vehicles

Access Management

Video Surveillance

Remote Monitoring & Predictive Maintenance

Telemetry

Energy Management

By Data Sources

Video & 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 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

Contents

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

6. Recent Development, Policies & Regulatory Landscape

7. Risk Analysis

7.1. Demand Risk Analysis

7.2. Supply Risk Analysis

8. Edge AI Software Industry Analysis

8.1. Porters Five Forces

8.1.1. Threat of New Entrants

8.1.2. Bargaining Power of Suppliers

8.1.3. Threat of Substitutes

8.1.4. Rivalry

8.2. PEST Analysis

8.2.1. Political

8.2.2. Economic

8.2.3. Social

8.2.4. Technological

9. Global Edge AI Software Market

9.1. Market Size & forecast, 2019A-2030F

9.1.1. By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10. Global Edge AI Software: Market Segmentation

10.1. By Regions

10.1.1. North America: (U.S. and Canada)

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America)

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe)

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific)

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa)

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.2. By Component: Market Share (2020-2030F)

10.2.1. Solutions, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.2.2. Services, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.3. By Data Sources: Market Share (2020-2030F)

10.3.1. Video & Image Recognition, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.3.2. Speech Recognition, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.3.3. Biometric Data, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.3.4. Sensor Data, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.3.5. Mobile Da6ta, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.4. By Application: Market Share (2020-2030F)

10.4.1. Autonomous Vehicles, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.4.2. Access Management, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.4.3. Video Surveillance, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.4.4. Remote Monitoring & Predictive Maintenance, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

10.4.5. Telemetry, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

11. Company Profile

11.1. IBM

11.1.1. Company Overview

11.1.2. Company Total Revenue (Financials)

11.1.3. Market Potential

11.1.4. Global Presence

11.1.5. Key Performance Indicators

11.1.6. SWOT Analysis

11.1.7. Product Launch

11.2. Foghorn Systems

11.3. Nutanix Inc.

11.4. Imagimob

11.5. Google

11.6. Invasion AI

11.7. Microsoft

11.8. Octonion

11.9. Veea Systems

11.10. TIBCO

12. Consultant Recommendation

**The above given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)