Edge AI Software Market by Component, Data Source, Application, End-use

List of Tables

[193 Pages Report] The Edge AI Software Market size was estimated at USD 1.25 billion in 2023 and expected to reach USD 1.58 billion in 2024, at a CAGR 26.55% to reach USD 6.54 billion by 2030.

Edge AI refers to the deployment and utilization of AI in an edge computing environment, which allows complex computations to be done closer to where data is collected rather than at a centralized cloud computing facility or an offsite data center. Edge AI software allows machine learning algorithms to be run on a physical hardware device. Edge AI software is primarily employed in various sectors, including industrial automation, surveillance, robotics, and IoT devices. The need for real-time processing, with reduced latency and bandwidth consumption, has fueled the demand for edge AI software within these sectors, broadening the scope of the industry. The enhancement in cognitive computing capabilities, along with the surge in data generated from various smart devices, has created numerous potential opportunities for edge AI software. Difficulty of integration and handling of edge AI software and the need for a significant amount of resources to maintain edge AI software can deter new entrants in the field. Furthermore, data privacy and security issues and a lack of standardized protocols for inter-device communications have posed hurdles to the widespread adoption of edge AI software. However, manufacturers are constantly investing in R&D initiatives to improve the privacy protocols and data security of their software services. The most promising areas for innovation and research in edge AI software are attributed to sectors such as cybersecurity, automated Healthcare systems, and smart cities. Technological advancements such as 5G connectivity, quantum computing, and advancements in natural language processing (NLP) provide opportunities for future innovation.

KEY MARKET STATISTICS
Base Year [2023]	USD 1.25 billion
Estimated Year [2024]	USD 1.58 billion
Forecast Year [2030]	USD 6.54 billion
CAGR (%)	26.55%

Component: Research initiatives to support advancements in edge AI software solutions

Services in the context of edge AI software comprise consultation, integration, and support services that enhance the overall functioning, usability, and optimization of the edge AI software solutions. These services are aimed at helping businesses tailor AI implementations to their unique needs, thus driving efficiencies and business growth. Support and maintenance of edge AI software services include regular system updates, prompt troubleshooting, performance optimization, real-time threat anomaly detection, and continuous monitoring for proactive fault anticipation. Reliable performance is ensured by practicing meticulous system integration and testing routines. Training and consulting include technical training, consultative services for best practice approaches, and advisory services for strategic edge computation use. The solution segment revolves around the application of AI technologies at the edge of the network. This includes machine learning, deep learning, natural language processing, and computer vision. The edge AI platform is a comprehensive ecosystem that facilitates data collection, processing, analytics, and decision-making at the edge of the network. Software tools for edge AI include pre-built AI models, AI algorithms, algorithm training tools, analytics software, and application development tools.

Data source: Generation of sensor data due to growing utilization of sensor technologies in industries

Edge AI software utilizes biometric data in an effective manner in order to validate authentications and build more complex use cases. The biometric data typically managed by the software might include fingerprints, facial recognition, and iris patterns, among others. Mobile data forms a critical part of edge AI with real-time analytics, managed directly on mobile or IoT devices. Edge AI enables devices to process and interpret data locally, thereby enhancing performance and reducing both latency and the need for constant internet connection. Edge AI software's effective utilization of sensor data stems from IoT devices, industrial machines, smart home systems, and autonomous vehicles. Speech recognition, as an application of edge AI, holds tremendous value in hands-free device control, transcription services, and assistive technology. Video and image recognition capabilities support real-time video analytics, object detection, and facial recognition. Since edge AI processes the data locally, it minimizes bandwidth use and latency, thus optimizing the efficiency of surveillance systems, autonomous vehicles, and other technologies relying heavily on visual data.

Application: Growing sustainability concerns driving adoption of edge AI software in energy management

Access management solutions are used by organizations to authenticate, authorize, and audit access to on-premises and cloud-based applications and IT systems. Edge AI software finds substantial application in access management, where it uncovers patterns in behavior to identify potential security risks. AI at the edge is essential for autonomous vehicles as it offers real-time data processing, predictive analytics, and machine learning capabilities required for sophisticated navigation systems. The energy management segment utilizes edge AI solutions to optimize energy consumption based on real-time data. It aids in predicting energy needs and managing supply efficiently, thus saving costs and reducing environmental impact. Edge AI has transformed precision agriculture by enabling real-time crop monitoring, optimizing resources, and maximizing crop yield. Remote monitoring and predictive maintenance applications are increasingly embracing edge AI technology to predict equipment failures and determine optimal maintenance schedules. Edge AI has been key to improving the functionality of smart wearables by providing real-time health tracking, user recommendations, and data security. Telemetry allows the collection, transmission, and measurement of data from diverse remote sources using sensors and other devices. Telemetry has been greatly enhanced by edge AI's ability to analyze and interpret diverse data sets in real-time. Edge AI in video surveillance enables sophisticated functions such as facial recognition, motion detection, and behavioral analysis.

End-use: Need to ensure optimum data security and privacy in government & public Sector

In the automotive industry, edge AI software aids in functions such as advanced driver assistance systems (ADAS), predictive maintenance, and infotainment. Edge AI software plays an important role in energy consumption prediction, power grid optimization, and operational efficiency in the energy and utilities sector. The demand for edge AI software is driven by the need for sophisticated surveillance systems, data security, and intelligent public services in the government and public sector. Edge AI has a tremendous impact on remote patient monitoring, medical image analysis, and predictive analytics in healthcare. The manufacturing industry utilizes edge AI software for predictive maintenance, quality assurance, and real-time equipment monitoring. Edge AI is essential in the telecom industry for network optimization, real-time monitoring, fraud detection, and customer service.

Regional Insights

The demand for edge AI Software in the Americas, notably in the United States and Canada, is fueled by technological advancements and a growing user base. These countries are characterized by high investment in AI research, technological patents, data centers, and computing technologies. Furthermore, the rapid adoption of IoT and sensor technologies in industrial use cases has driven the demand for edge AI software. EU countries, driven by stringent data privacy regulations, are striving to increase the use of edge AI, lessening the need for data transport. European nations are also characterized by robust research infrastructure for AI programs and technologies, contributing to significant advancements in edge AI software. In the EU, edge computing devices and technologies equipped with AI software are rapidly being deployed to advance healthcare research. In the APAC region, China, Japan, and India drive the adoption of edge AI software due to their vast consumer base and rapid digital transformation. China has government-backed programs for technological research and smart city initiatives. Meanwhile, Japan is investing heavily in robot technology along with AI-infused solutions, thereby demonstrating a broad scope for edge AI software. India's landscape for edge AI software holds massive potential due to its tech-savvy demographics and growing digital ecosystem.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Edge AI Software Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Edge AI Software Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Edge AI Software Market, highlighting leading vendors and their innovative profiles. These include Adapdix, Inc., Alef Edge, Inc., Amazon Web Services, Inc., Anagog Ltd., Atos SE, Azion Technologies, Inc., Blaize, byteLAKE s.c., ClearBlade, Inc., Ekinops S.A., Eurotech S.p.A., Google LLC by Alphabet, Inc., Gorilla Technology Group Inc., Gorilla Technology Inc., Hailo Technologies Ltd., Imagimob AB, Infineon Technologies AG, Intel Corporation, International Business Machines Corporation, Johnson Controls International PLC, Kinara Inc., Kneron, Inc., Mavenir Systems, Inc., Microsoft Corporation, Numurus LLC, Nutanix, Inc., NVIDIA Corporation, Synaptics Incorporated, T-DAB.AI Ltd., Tact.ai Technologies, Inc., Tata Elxsi Limited, TIBCO Software Inc., Veea Inc., VMWare, Inc., and ZEDEDA, Inc..

Market Segmentation & Coverage

This research report categorizes the Edge AI Software Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
- Services
  - Support & Maintenance
  - System Integration & Testing
  - Training & Consulting

Solution
- Platform
- Software Tools

Data Source
- Biometric Data
- Mobile Data
- Sensor Data
- Speech Recognition
- Video & Image Recognition

Application
- Access Management
- Autonomous Vehicles
- Energy Management
- Precision Agriculture
- Remote Monitoring & Predictive Maintenance
- Smart Wearables
- Telemetry
- Video Surveillance

End-use
- Automotive
- Energy and Utilities
- Government & Public Sector
- Healthcare
- Manufacturing
- Telecom

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Edge AI Software Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Edge AI Software Market?

3. What are the technology trends and regulatory frameworks in the Edge AI Software Market?

4. What is the market share of the leading vendors in the Edge AI Software Market?

5. Which modes and strategic moves are suitable for entering the Edge AI Software Market?

Product Code: MRR-501246437481

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising Use of Edge Devices and Integration of IoT Devices
  - 5.1.1.2. Increasing Demand for Enhanced Data Privacy and Security
  - 5.1.1.3. Intensifying Usage of Social Media and eCommerce Platforms
- 5.1.2. Restraints
  - 5.1.2.1. Privacy and Security Concerns Related to Edge AI Solutions
- 5.1.3. Opportunities
  - 5.1.3.1. Improvements in Edge AI Software
  - 5.1.3.2. Significant Investment for Expanding 5G Network Worldwide
- 5.1.4. Challenges
  - 5.1.4.1. Interoperability Issues Slowing the Adoption of Edge AI Software
5.2. Market Segmentation Analysis
- 5.2.1. Component: Research initiatives to support advancements in edge AI software solutions
- 5.2.2. Data source: Generation of sensor data due to growing utilization of sensor technologies in industries
- 5.2.3. Application: Growing sustainability concerns driving adoption of edge AI software in energy management
- 5.2.4. End-use: Need to ensure optimum data security and privacy in government & public Sector
5.3. Market Trend Analysis
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter's Five Forces Analysis
- 5.6.1. Threat of New Entrants
- 5.6.2. Threat of Substitutes
- 5.6.3. Bargaining Power of Customers
- 5.6.4. Bargaining Power of Suppliers
- 5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework Analysis
5.9. Client Customization

6. Edge AI Software Market, by Component

6.1. Introduction
6.2. Services
6.3. Solution

7. Edge AI Software Market, by Data Source

7.1. Introduction
7.2. Biometric Data
7.3. Mobile Data
7.4. Sensor Data
7.5. Speech Recognition
7.6. Video & Image Recognition

8. Edge AI Software Market, by Application

8.1. Introduction
8.2. Access Management
8.3. Autonomous Vehicles
8.4. Energy Management
8.5. Precision Agriculture
8.6. Remote Monitoring & Predictive Maintenance
8.7. Smart Wearables
8.8. Telemetry
8.9. Video Surveillance

9. Edge AI Software Market, by End-use

9.1. Introduction
9.2. Automotive
9.3. Energy and Utilities
9.4. Government & Public Sector
9.5. Healthcare
9.6. Manufacturing
9.7. Telecom

10. Americas Edge AI Software Market

10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Edge AI Software Market

11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Edge AI Software Market

12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape

13.1. Market Share Analysis, 2023
13.2. FPNV Positioning Matrix, 2023
13.3. Competitive Scenario Analysis
- 13.3.1. Eurotech announces a new secure edge AI portfolio complying with the IEC 62443 cybersecurity standard
- 13.3.2. Thundercomm Announces the Release of EB3Gen2 Edge AI Station to Drive Digital Transformation Across IoT Solutions
- 13.3.3. Microsoft brings Bing AI features to Edge sidebar
- 13.3.4. BYTE Acquisition Corp. and Airship AI Holdings, Inc. Announce Letter of Intent for a Business Combination
- 13.3.5. NVIDIA Unveils GPU-Accelerated AI-on-5G System for Edge AI, 5G and Omniverse Digital Twins
- 13.3.6. MemryX Inc. and Edge Impulse Announce Partnership to Effortlessly Develop and Deploy AI on MemryX Edge AI Processors
- 13.3.7. Gorilla Technology Group Announces First U.K. Customer
- 13.3.8. Microsoft Announces New Multibillion-Dollar Investment in Chatgpt-Maker Openai
- 13.3.9. Edge Impulse partners with BrainChip for edge AI development
- 13.3.10. Atos Unveils the Bullsequana Sh Server for Secure, Carbon-Efficient Hybrid Computing and Bullsequana Ex Series for Trusted Ai Applications at the Edge
- 13.3.11. Kinara and Awiros Partnership to Provide High Performance AI Video Applications
- 13.3.12. Synaptics Launches KatanaConnect, Industry's First Miniature Wireless AI Vision and Audio Module for Rapid Implementation of Battery-Powered IoT Devices
- 13.3.13. VMware Extends SD-WAN Leadership with Innovations Enabling Enterprises to Connect and Secure the Distributed, Multi-Cloud Edge
- 13.3.14. VMware Stockholders Approve Proposed Acquisition of VMware by Broadcom, Inc.
- 13.3.15. Edge AI Startup Numurus Raises Funding for Robotics, Sensor Solutions
- 13.3.16. Deploying Edge AI in NVIDIA Headquarters
- 13.3.17. Airtel and IBM to Work Together to Bring Secured Edge Cloud Services to Indian Enterprises
- 13.3.18. Eurotech Announces The Acquisition Of Inonet Computer Gmbh
- 13.3.19. Intel eyes AI on 'Edge COmputing'
- 13.3.20. Zededa Lands a Cash Infusion to Expand its Edge Device Management Software
- 13.3.21. Hikma Ventures Invests in Tact.Ai, An Ai-Powered Customer Engagement Platform for Life Sciences Companies
- 13.3.22. Johnson Controls acquires FogHorn, integrates Edge AI platform in OpenBlue
- 13.3.23. Mavenir Launches 5G Hyperconverged Edge AI Solution for Enterprise & Telco Market Based on NVIDIA Platforms

14. Competitive Portfolio

14.1. Key Company Profiles
14.2. Key Product Portfolio