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Global Edge AI Hardware Market by Device, Processor (CPU, GPU, and ASIC), Function, Power Consumption (Less than 1 W, 1-3 W, 3-5 W, 5-10 W, and more than 10 W), Vertical, and Geography - Forecast to 2027

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  • 238 Pages
  • October 2022
  • Region: Global
  • Markets and Markets
  • ID: 5416600
Description Jump to:

Rapid Growth in the Number of Intelligent Applications

The edge AI hardware market is projected to grow from 1,056 Million Units to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period. The major opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions and the rising adoption of 5G networks to bring IT and telecom together and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and the shortage of AI experts. Designing efficient AI system pose major challenges to the edge AI hardware market. 

Training to have second highest CAGR during the forecast period

Training is the process of developing an algorithm that will be used to infer the output. ML models are trained to develop the ability to understand a data set and act on new data. No actual learning happens on devices as training requires high computational power. As mobile devices do not have high-performance computing, ML models are trained on the cloud. Moreover, on-device training is not required for each application, and it will be limited to certain devices such as automotive systems and robots. Considering its advantages, on-device training is expected to increase in the next few years. With on-device training capability, a model can learn from a user’s data available on the device, making the data more secure. With on-device training, an ML model can learn and update continuously. 

US to grow with highest CAGR in North America during the forecast period

The US is the major revenue generator for players dealing in edge AI hardware in North America. The US is a key market for AI application processors as the demand for smartphones, smart home appliances, and advanced products such as IoT devices, wearable electronics, and vehicles with high-security features is high in the country. The US government has announced significant investments in machine learning solutions across various sectors, including consumer electronics, healthcare, and government. The abundance of capital and strong support of the US government contribute to the large-scale adoption of ML/AI solutions. The country's data center industry continues to grow with rising investments in artificial intelligence and technological advancements.

The report profiles key players in the edge AI hardware market and analyzes their market shares. Players profiled in this report are  Apple (US), MediaTek (Taiwan), Qualcomm Technologies (US), Huawei Technologies (China), and Samsung Electronics (South Korea), Intel (US), NVIDIA (US), IBM(US), Google (US), Microsift (US), AMD (US), Micron Technology (US),  Imagination Technologies (UK), Cambricon Technologies (China), Tenstorrent (Canada), Blaize (US), General Vision (US), Mythic (US), Zero ASIC (US), Applied Brain Research (Canada), Horizon Robotics (China), CEVA (US),  Graph core (UK), SambaNova (US), Hailo (Israel), Veridify Security (US). 

Research Coverage

The report defines, describes, and forecasts the edge AI hardware market market based on device, function ,power consumption, processor, vertical and geography. It provides detailed information regarding factors such as drivers, restraints, opportunities, and challenges influencing the growth of the edge AI hardware market market. It also analyzes competitive developments such as product launches, acquisitions, expansions, contracts, partnerships, and developments carried out by the key players to grow in the market.      

Reasons to Buy This Report

The report will help leaders/new entrants in the edge AI hardware market in the following ways:

1. The report segments the edge AI hardware market market comprehensively and provides the closest market size estimation for all subsegments across regions.        
2. The report will help stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, challenges, and opportunities about edge AI hardware market.  
3. The report will help stakeholders understand their competitors better and gain insights to improve their position in the edge AI hardware market market. The competitive landscape section describes the competitor ecosystem.

Table of Contents

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered for the Study
1.4 Currency Considered
1.5 Stakeholders
1.6 Summary of Changes

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Company Evaluation Matrix Methodology
2.6 Assumptions for the Study
2.7 Limitations of the Study

3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the Edge Ai Software Market
4.2 Market, by Application
4.3 Market, by Region
4.4 Market, by Application and Vertical

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Ever-Increasing Enterprise Workloads on the Cloud
5.2.1.2 Rapid Growth in the Number of Intelligent Applications
5.2.1.3 Exponentially Growing Data Volume and Network Traffic
5.2.2 Restraints
5.2.2.1 Privacy and Security Concerns Related to Edge Ai Solutions
5.2.2.1 Inadequate Number of Ai Experts
5.2.3 Opportunities
5.2.3.1 Emergence of the 5G Network to Bring It and Telecom Together
5.2.3.2 Advent of Autonomous Vehicles Coupled with Connected Car Infrastructure
5.2.3.3 Rising Need of Edge Computing in Iot
5.2.4 Challenges
5.2.4.1 Interoperability Issues Slowing the Adoption of Edge Ai Software
5.2.4.2 Optimization of Edge Ai Standards

6 Industry Trends
6.1 Evolution
6.2 Ecosystem
6.3 Case Study Analysis
6.3.1 Use Case 1: Creating Motion Intelligence with Imagimob's Sensorbeat Ai Software
6.3.2 Use Case 2: Using Imagimob's Sensorbeat Ai Software for Predictive Maintenance in Manufacturing
6.3.3 Use Case 3: Using Anagog Jedai 4.0 to Personalize Banking Experience
6.3.4 Use Case 4: Using High-Performance Embedded Computing (Hpec) Systems of Eurotech for Autonomous Driving
6.3.5 Use Case 5: Using Edge Ai Starter Kit of Bytelake for the Detection of Groceries in Retail
6.4.6 Use Case 6: Using Edge Ai Starter Kit of Bytelake for Traffic Analytics Using Video Surveillance
6.4 Value Chain Analysis
6.5 Supply Chain Analysis
6.6 Technology Analysis
6.6.1 Edge Ai Ans Internet of Things (Iot)
6.6.2 Edge Ai and 5G
6.6.3 Edge Ai and Blockchain
6.7 Porter's Five Forces Analysis
6.7.1.1 Threat of New Entrants
6.8.1.2 Threat of Substitutes
6.8.1.3 Bargaining Power of Suppliers
6.8.1.4 Bargaining Power of Buyers
6.8.1.5 Intensity of Competitive Rivalry
6.9 Pricing Analysis
6.10 Patent Analysis
6.10.1.1 Innovation and Patent Registrations
6.11 Regulatory Implications
6.11.1 Introduction
6.11.2 General Data Protection Regulation
6.11.3 Health Insurance Portability and Accountability Act
6.11.4 Federal Trade Commission
6.11.5 Federal Communications Commission
6.11.6 Iso/Iec Jtc 1/Sc 42
6.11 Key Conferences & Events in 2022-2023
6.12 Trends/Disruptions Impacting Buyers/Clients of the Edge Ai Software Market
6.13 Key Stakeholders & Buying Criteria
6.13.1 Key Stakeholders in Buying Process
6.13.2 Buying Criteria

7 Edge Ai Software Market, by Component
7.1 Introduction
7.1.1 Component: Market Drivers
7.2 Solutions
7.2.1 Software Tools
7.2.2 Platform
7.3 Services
7.3.1 Training and Consulting Services
7.3.2 System Integration and Testing
7.3.3 Support and Maintenance

8 Edge Ai Software Market, by Data Source
8.1 Introduction
8.1.1 Data Source: Market Drivers
8.2 Video & Image Recognition
8.3 Iris & Facial Data
8.4 Sensor Data
8.5 Mobile Data
8.6 Speech Recognition

9 Edge Ai Software Market, by Organization Size
8.1.1 Organization Size: Market Drivers
8.2 Sme
8.3 Large Enterprises

10 Edge Ai Software Market, by Vertical
10.1 Introduction
10.1.1 Vertical: Market Drivers
10.2 Edge Ai Software: Enterprise Use Cases
10.3 Government & Public Sector
10.3.1 Government & Public Sector Application
10.3.1.1 Traffic Management
10.3.1.2 Waste or Water Management
10.3.1.3 Smart City Management
10.3.1.4 Security & Law Enforcement
10.4 Manufacturing
10.4.1 Manufacturing Application
10.4.1.1 Predictive Maintenance
10.4.1.2 Yield Optimization
10.4.1.3 Condition & Precision Monitoring
10.4.1.4 Quality Control
10.5 Healthcare & Life Sciences
10.5.1 Healthcare & Life Sciences Application
10.5.1.1 In-Hospital Patient Monitoring
10.5.1.2 Fall Detection
10.5.1.3 Radiology
10.5.1.4 Anomaly & Injuries Detection
10.6 Energy & Utilities
10.6.1 Energy & Utilities Application
10.6.1.1 Energy Optimization
10.6.1.2 Distributed Energy Management
10.6.1.3 Smart Grids
10.6.1.4 Pipeline Optimization
10.7 Telecom
10.7.1 Telecom Application
10.7.1.1 Network Management & Optimization
10.7.1.2 Customer Churn Prevention
10.7.1.3 Fault Detection
10.7.1.4 Root Cause Analysis
10.8 Media & Entertainment
10.8.1 Media & Entertainment Application
10.8.1.1 Video Streaming
10.8.1.2 Cloud Gaming
10.8.1.3 Ar/Vr/Mr
10.8.1.4 Content Rendering & Caching
10.9 Transportation & Logistics
10.9.1 Transportation & Logistics Application
10.9.1.1 Supply Chain Management
10.9.1.2 Autonomous Vehicles
10.9.1.3 Device Failure
10.9.1.4 Equipment Management
10.1 Other Verticals
10.10.1 Other Applications
10.10.1.1 Weather Monitoring
10.10.1.2 Identification & Access Management
10.10.1.3 Smart Energy Systems
10.10.1.4 Fraud Detection & Prevention
10.10.1.5 Customer Engagement

11 Edge Ai Software Market, by Region
11.1 Introduction
11.2 North America
11.2.1 North America: Market Drivers
11.2.2 North America: Regulations
11.2.2.1 The Personal Information Protection and Electronic Documents Act (Pipeda)
11.2.2.2 California Consumer Privacy Act
11.2.3 US
11.2.4 Canada
11.3 Europe
11.3.1 Europe: Edge Ai Software Market Drivers
11.3.2 Europe: Regulations
11.3.2.1 General Data Protection Regulation
11.3.2.2 European Committee for Standardization
11.3.2.3 EU Data Governance Act
11.3.3 UK
11.3.4 Germany
11.3.5 France
11.3.6 Rest of Europe
11.4 Asia-Pacific
11.4.1 Asia-Pacific: Market Drivers
11.4.2 Asia-Pacific: Regulations
11.4.2.1 Personal Data Protection Act
11.4.3 China
11.4.4 Japan
11.4.5 India
11.4.6 Rest of Asia-Pacific
11.5 Middle East and Africa
11.5.1 Middle East and Africa: Edge Ai Software Market Drivers
11.5.2 Middle East and Africa: Regulations
11.5.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
11.5.2.2 Cloud Computing Framework
11.5.2.3 Gdpr Applicability in Ksa
11.5.2.4 Protection of Personal Information Ac
11.5.2.5 Tra's IoT Regulatory Policy
11.5.3 Israel
11.5.4 UAE
11.5.5 Rest of Middle East and Africa
11.6 Latin America
11.6.1 Latin America: Edge Ai Software Market Drivers
11.6.2 Latin America: Regulations
11.6.2.1 Brazil Data Protection Law
11.6.2.2 Argentina Personal Data Protection Law No. 25.326
11.6.3 Brazil
11.6.4 Mexico
11.6.5 Rest of Latin America

12 Competitive Landscape
12.1 Overview
12.2 Market Evaluation Framework
12.3 Market Share, 2020
12.4 Historic Revenue Analysis of Key Market Players
12.4.1 Introduction
12.5 Key Market Developments
12.5.1 New Product Launches and Product Enhancements
12.5.2 Business Expansions
12.5.3 Mergers and Acquisitions
12.5.4 Partnerships, Agreements, Contracts, and Collaborations
12.6 Company Evaluation Matrix
12.6.1 Overview
12.6.2 Company Evaluation Matrix: Definitions and Methodology
12.6.3 Market Ranking Analysis, by Company
12.6.4 Star
12.6.5 Emerging Leader
12.6.6 Pervasive
12.6.7 Participant
12.7 Startup/Sme Evaluation Matrix, 2021
12.7.1 Progressive Companies
12.7.2 Responsive Companies
12.7.3 Dynamic Companies
12.7.4 Starting Blocks

13 Company Profiles
13.1 Introduction
13.2 Microsoft
13.2.1 Business and Financial Overview
13.2.2 Solutions and Services Offered
13.2.3 Recent Developments
13.2.3.1 Analyst's View
13.2.3.1.2 Strategic Choices Made
13.2.3.1.3 Weaknesses and Competitive Threat
13.3 Ibm
13.3.1 Business and Financial Overview
13.3.2 Solutions and Services Offered
13.3.3 Recent Developments
13.3.3.1 Analyst's View
13.3.3.1.1 Key Strengths/Right to Win
13.3.3.1.2 Strategic Choices Made
13.3.3.1.3 Weaknesses and Competitive Threats
13.4 Google
13.4.1 Business and Financial Overview
13.4.2 Solutions and Services Offered
13.4.3 Recent Developments
13.4.3.1 Analyst's View
13.4.3.1.1 Key Strengths/Right to Win
13.4.3.1.2 Strategic Choices Made
13.4.3.1.3 Weaknesses and Competitive Threats
13.5 Aws
13.5.1 Business and Financial Overview
13.5.2 Solutions and Services Offered
13.5.3 Recent Developments
13.5.3.1 Analyst's View
13.5.3.1.1 Key Strengths/Right to Win
13.5.3.1.2 Strategic Choices Made
13.5.3.1.3 Weaknesses and Competitive Threats
13.6 Nutanix
13.6.1 Business and Financial Overview
13.6.2 Solutions and Services Offered
13.6.3 Recent Developments
13.6.3.1 Analyst's View
13.6.3.1.1 Key Strengths/Right to Win
13.6.3.1.2 Strategic Choices Made
13.6.3.1.3 Weaknesses and Competitive Threats
13.7 Synaptics
13.7.1 Business and Financial Overview
13.7.2 Solutions Offered
13.7.3 Recent Developments
13.8 Tibco Software
13.8.1 Business Overview
13.8.2 Solutions and Services Offered
13.8.3 Recent Developments
13.9 Octonion
13.9.1 Business Overview
13.9.2 Solutions Offered
13.9.3 Recent Developments
13.10 Imagimob
13.10.1 Business Overview
13.10.2 Solutions Offered
13.10.3 Recent Developments
13.11 Anagog
13.11.1 Business Overview
13.11.2 Solutions and Services Offered
13.11.3 Recent Developments
13.12 Veea
13.12.1 Business Overview
13.12.2 Solutions and Services Offered
13.12.3 Recent Developments
13.13 Foghorn Systems
13.13.1 Business Overview
13.13.2 Solutions Offered
13.13.3 Recent Developments
13.14 Bragi
13.14.1 Business Overview
13.14.2 Solutions Offered
13.14.3 Recent Developments
13.15 Gorilla Technology Group
13.15.1 Business Overview
13.15.2 Solutions Offered
13.15.3 Recent Development
13.16 Tact.Ai
13.16.1 Business Overview
13.16.2 Solutions Offered
13.16.3 Recent Developments
13.17 Sixsq
13.18 Azion Technologies
13.19 Clearblade
13.2 Alefedge
13.21 Adapdix
13.22 Startup/Sme Profiles
13.22.1 Bytelake
13.22.2 Reality Ai
13.22.3 Deci.Ai
13.22.4 Stratahive
13.22.5 Edgeworx
13.22.6 Swim.Ai
13.22.7 Invision.Ai
13.22.8 Horizon Robotics
13.22.9 Kneron
13.22.10 Deepbrainz

14 Appendix
14.1 Adjacent and Related Markets
14.1.1 Introduction
14.1.2 Edge Computing Market - Global Forecast to 2027
14.1.2.1 Market Definition
14.1.2.2 Market Overview
14.1.2.2.1 Edge Computing Market, by Component
14.1.2.2.2 Edge Computing Market, by Application
14.1.2.2.3 Edge Computing Market, by Organization Size
14.1.2.2.4 Edge Computing Market, by Vertical
14.1.2.2.5 Edge Computing Market, by Region
14.2 Discussion Guide
14.3 Knowledge Store: The Subscription Portal
14.4 Available Customizations

List of Tables (58 Tables)
Table 1 Edge Ai Software Market, by Component, 2018-2021(USD Million)
Table 2 Market, by Compoment, 2022-2027(USD Million)
Table 3 Market, by Solution, 2018-2021(USD Million)
Table 4 Market, by Solution, 2022-2027(USD Million)
Table 5 Solution: Market, by Region, 2018-2021(USD Million)
Table 6 Solution: Market, by Region, 2022-2027(USD Million)
Table 7 Standalone Market, by Region, 2018-2021(USD Million)
Table 8 Standalone Edge Ai Software Solution Market, by Region, 2022-2027(USD Million)
Table 9 Integrated Edge Ai Software Solution Market, by Region, 2018-2021(USD Million)
Table 10 Integrated Market, by Region, 2022-2027(USD Million)
Table 11 Support & Maintenance: Market, by Region, 2018-2021 (USD Million)
Table 12 Support & Maintenance: Market, by Region, 2022-2027 (USD Million)
Table 13 Edge Ai Software Market, by Data Source, 2018-2021(USD Million)
Table 14 Market, by Data Source, 2022-2027(USD Million)
Table 15 Video & Image Recognition: Market, by Region, 2018-2021(USD Million)
Table 16 Video & Image Recognition: Market Size, by Region, 2022-2027(USD Million)
Table 17 Iris & Facial Data: Market by Region, 2018-2021(USD Million)
Table 18 Iris & Facial Data: Market by Region, 2022-2027(USD Million)
Table 19 Sensor Data: Market by Region, 2018-2021 (USD Million)
Table 20 Sensor Data: Market by Region, 2022-2027(USD Million)
Table 21 Mobile Data: Market by Region, 2018-2021(USD Million)
Table 22 Mobile Data: Market by Region, 2022-2027(USD Million)
Table 23 Speech Recognition: Market by Region, 2018-2021(USD Million)
Table 24 Speech Recognition: Market by Region, 2022-2027(USD Million)
Table 25 Edge Ai Software Market, by Vertical, 2018-2021 (USD Million)
Table 26 Market, by Vertical, 2022-2027 (USD Million)
Table 27 Government & Public Sector: Market, by Region, 2018-2021 (USD Million)
Table 28 Government & Public Sector: Market, by Region, 2022-2027 (USD Million)
Table 29 Market, by Government & Public Sector Application, 2018-2021 (USD Million)
Table 30 Market, by Government & Public Sector Application, 2022-2027 (USD Million)
Table 31 Manufacturing: Edge Ai Software, by Region, 2018-2021 (USD Million)
Table 32 Manufacturing: Edge Ai Software, by Region, 2022-2027 (USD Million)
Table 33 Market, by Manufacturing Application, 2018-2021 (USD Million)
Table 34 Market, by Manufacturing Application, 2022-2027 (USD Million)
Table 35 Healthcare & Life Sciences: Market, by Region, 2018-2021 (USD Million)
Table 36 Healthcare & Life Sciences: Market, by Region, 2022-2027 (USD Million)
Table 37 Edge Ai Software Market, by Healthcare & Life Sciences Application, 2018-2021 (USD Million)
Table 38 Market, by Healthcare & Life Sciences Application, 2022-2027 (USD Million)
Table 39 Energy & Utilities: Market, by Region, 2018-2021 (USD Million)
Table 40 Energy & Utilities: Market, by Region, 2022-2027 (USD Million)
Table 41 Market, by Energy & Utilities Application, 2018-2021 (USD Million)
Table 42 Market, by Healthcare & Life Sciences Application, 2022-2027 (USD Million)
Table 43 Telecom: Market, by Region, 2018-2021 (USD Million)
Table 44 Telecom: Market, by Region, 2022-2027 (USD Million)
Table 45 Market, by Telecom Application, 2018-2021 (USD Million)
Table 46 Market, by Telecom Application, 2022-2027 (USD Million)
Table 47 Media & Entertainment: Market, by Region, 2018-2021 (USD Million)
Table 48 Media & Entertainment: Edge Ai Software, by Region, 2022-2027 (USD Million)
Table 49 Edge Ai Software Market, by Media & Entertainment Application, 2018-2021 (USD Million)
Table 50 Market, by Media & Entertainment Application, 2022-2027 (USD Million)
Table 51 Transportation & Logistics: Market, by Region, 2018-2021 (USD Million)
Table 52 Transportation & Logistics: Market, by Region, 2022-2027 (USD Million)
Table 53 Market, by Transportation & Logistics Application, 2018-2021 (USD Million)
Table 54 Market, by Transportation & Logistics Application, 2022-2027 (USD Million)
Table 55 Other Verticals: Market, by Region, 2018-2021 (USD Million)
Table 56 Other Verticals: Market, by Region, 2022-2027 (USD Million)
Table 57 Market, by Other Application, 2018-2021 (USD Million)
Table 58 Market, by Other Application, 2022-2027 (USD Million)

List of Figures (54 Figures)
Figure 1 COVID-19: Global Propagation
Figure 2 COVID-19 Propagation: Select Countries
Figure 3 Revised Gross Domestic Product Forecasts for Select G20 Countries in 2020
Figure 4 Factors Impacting Global Economy
Figure 5 Scenarios in Terms of Recovery of the Global Economy
Figure 6 Edge Ai Software Market: Research Design
Figure 7 Data Triangulation
Figure 8 Research Methodology: Approach
Figure 9 Market: Top-Down and Bottom-Up Approaches
Figure 10 Market Size Estimation Methodology: Approach 1 (Supply Side): Revenue of Solutions/Services of the Market
Figure 11 Market Size Estimation Methodology: Approach 1 Bottom-Up (Supply Side): Collective Revenue of Edge Ai Software Vendors
Figure 12 Market Size Estimation Methodology: Illustration of Company's Edge Ai Revenue Estimation I
Figure 13 Market Size Estimation Methodology: Illustration of Company's Edge Ai Revenue Estimation Ii
Figure 14 Market Size Estimation Methodology: Approach 2 Bottom-Up (Supply Side): Collective Revenue of All Solutions/Services of the Edge Ai Software Market
Figure 15 Market Size Estimation Methodology - Approach 3 - Bottom-Up (Demand Side): Share of Edge Ai Software Through Overall Edge Ai Software Spending
Figure 16 Company Evaluation Matrix: Criteria Weightage
Figure 17 Solutions Segment to Hold a Larger Market Size in 2020
Figure 18 Video and Image Recognition Segment to Hold the Largest Market Size in 2020
Figure 19 Training and Consulting Services Segment to Hold the Highest Market Share in 2020
Figure 20 Video Surveillance Segment to Hold the Highest Market Share in 2020
Figure 21 Energy and Utilities Vertical to Hold the Largest Market Size in 2020
Figure 22 North America to Hold the Highest Market Share in 2020
Figure 23 Increasing Internet Penetration and Growing Use of Connected Devices to Boost the Edge Ai Market Growth
Figure 24 Video Surveillance Segment to Hold the Largest Market Size During the Forecast Period
Figure 25 North America to Hold the Highest Market Share in 2020
Figure 26 Video Surveillance Segment and Energy and Utilities Vertical to Hold the Highest Market Shares in North America in 2020
Figure 27 Drivers, Restraints, Opportunities, and Challenges: Edge Ai Software Market
Figure 28 Evolution of Edge Ai
Figure 29 Ecosystem of Edge Ai
Figure 30 Value Chain Analysis
Figure 31 Supply Chain Analysis
Figure 32 Porter's Five Forces Analysis
Figure 33 Services Segment to Register a Higher CAGR During the Forecast Period
Figure 34 Platform Segment to Grow at a Higher CAGR During the Forecast Period
Figure 35 System Integration and Testing Segment to Grow at the Highest CAGR During the Forecast Period
Figure 36 Mobile Data Segment to Witness the Highest CAGR During the Forecast Period
Figure 37 Energy Management Segment to Register the Highest CAGR During the Forecast Period
Figure 38 Government and Public Vertical to Witness the Highest CAGR During the Forecast Period
Figure 39 India to Account for the Highest CAGR During the Forecast Period
Figure 40 Asia-Pacific to Account for the Highest CAGR During the Forecast Period
Figure 41 North America: Market Snapshot
Figure 42 Asia-Pacific: Market Snapshot
Figure 43 Market Evaluation Framework
Figure 44 Google to Lead the Edge Ai Software Market in 2021
Figure 45 Historic Revenue Analysis of Key Market Players
Figure 46 Ranking of Key Players, 2020
Figure 47 Market (Global), Company Evaluation Matrix, 2020
Figure 48 Market (Global), Startup/Sme Evaluation Matrix, 2020
Figure 49 Microsoft: Company Snapshot
Figure 50 Ibm: Company Snapshot
Figure 51 Google: Company Snapshot
Figure 52 Aws: Company Snapshot
Figure 53 Nutanix: Company Snapshot
Figure 54 Synaptics: Company Snapshot

Executive Summary

Companies Mentioned

  • IBM
  • Google
  • Aws
  • Anagog
  • Veea
  • Bragi
  • Sixsq
  • Kneron
  • Gorilla Technology Group
  • Deepbrainz
  • Alefedge
  • Stratahive
  • Tact.Ai
  • Deci.Ai
  • Swim.Ai
  • Synaptics
  • Bytelake
  • Clearblade
  • Horizon Robotics
  • Foghorn Systems
  • Imagimob
  • Octonion
  • Invision.Ai
  • Edgeworx
  • Azion Technologies
  • Nutanix
  • Adapdix
  • Reality Ai

Methodology

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Table Information

Report AttributeDetails
No. of Pages238
PublishedOctober 2022
Forecast Period2022 - 2027
Estimated Market Value in 2022 1056 Million Units
Forecasted Market Value by 2027 2716 Million Units
Compound Annual Growth Rate20.8%
Regions CoveredGlobal
No. of Companies Mentioned28

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