Edge AI Software Market by Component (Solutions and Services), Data Source, Application (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring and Predictive Maintenance, and Telemetry), Vertical, and Region - Global Forecast to 2026
[260 Pages Report] The global edge AI software market size to grow from USD 590 million in 2020 to USD 1,835 million by 2026, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period. Various factors such as increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications are expected to drive the adoption of the edge AI solutions and services.
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COVID-19 impact on global edge AI software market
As the world braces for the continued impact of the COVID-19 pandemic, every industry has been affected. To mitigate pandemic risks, organizations around the world are taking adequate measures such as remote working capabilities, remote asset maintenance and monitoring, plant automation, and telehealth. A high positive impact has been witnessed in the healthcare vertical, as firms have started realizing the potential of edge AI software in combating the impact of COVID-19. This has led to increased funding and research to keep businesses safe and secure across the value chain. It is expected that the market will witness slow growth during the pandemic and bounce back with a higher adoption rate across verticals post-pandemic. Organizations worldwide have been using digital infrastructure to continue with their usual business activities as it serves as essential infrastructure. Healthcare, the public sector, and education verticals are adopting digitalization at an unprecedented rate. Several clouds and edge companies are offering their computational services for free to the frontline workers to reduce the impact of COVID-19.
Market Dynamics
Driver: Rapid growth in the number of intelligent applications
AI is witnessing significant growth with the emergence of numerous applications in different verticals. These applications require massive computing power for performing activities, such as capturing and processing data in real-time, to provide efficient and actionable results. AI applications, when running on the cloud technology, face latency issues and result in difficulties to offer quick responses. Edge AI software place the computing resources at the edge of the network, hence enabling applications to function with low latency and high bandwidth. Enterprises are increasingly adopting edge AI software, as they support critical AI applications, such as autonomous vehicles and robotics. Moreover, the considerable growth in the use of wearable devices is a potential factor, which is expected to drive the growth of edge AI software, as they need computing on-the-go and cannot depend on distant cloud services. With the proliferation of digital devices, edge AI software is expected to gain significant market traction in the coming years.
Restraint: Privacy and security concerns related to edge AI solutions
Security is a key concern related to edge AI solutions, as these edge nodes would interact with each other and share real-time data. The rise of security breaches, attacks, and Distributed Denial of Service (DDoS) on devices, such as routers, base stations, and switches, are restricting the adoption of edge AI solutions. The data is stored in microdata centers at the edge nodes in case of edge AI solutions, which is vulnerable to cyber-attacks. Edge AI solutions form a distributed network resulting in increased risks of malware and other security attacks. Considering these factors, solution vendors must ensure that data security and privacy are given prime importance..
Opportunity: Emergence of the 5G network to bring IT and telecom together
The dawn of the 5G network is bringing IT and telecommunications together and introducing new possibilities for high-end applications to further reduce the network latency. The 5G network enables to establish data centers at edge modules, as well as implement industry-specific networks aided by virtualization and software-defined networking principles in a single environment. Critical AI applications, such as autonomous vehicles, industry automation, surgery, and robotics, demand for ultra-low latency, i.e., less than a round trip delay of 1 millisecond. These low latency rates can be achieved by installing new hardware in air interfaces and deployment of edge nodes. The emergence of 5G networks across different applications is expected to increase the amount of data transferred to the data centers, thereby increasing the need for intermediary servers or edge networks.
Challenge: Optimization of edge AI standards
There are multiple standardizations and consortium activities related to edge AI. This leads to challenges related to the optimization of edge AI standards and pointing toward a need to build an efficient standardization ecosystem, which supports the needs of users, governments, and industries. Organizations and consortiums related to preparations of edge AI standards can support these standards with open-source testbeds and implementations, such as vertical, horizontal, and specialty standards. In August 2017, Edge Computing Consortium (ECC) signed a Memorandum of Understanding (MoU) with the Industrial Internet Consortium (IIC) to collaborate on standardizations, testbeds, and R&D projects supporting edge capabilities for technologies, such as AI, IoT, and ML.
The video surveillance segment to have largest market size during the forecast period
The edge AI software market by application has been segmented into autonomous vehicles, access management, video surveillance, remote monitoring and predictive maintenance, telemetry, energy management, and others (point of sales, field service support, precision agriculture, AR/VR, and smart wearables). Edge AI can significantly improve surveillance and monitoring while reducing the amount of raw data that’s transmitted to the cloud leading to the adoption of edge AI for video surveillance. With the advent of edge AI, ML intelligent camera systems can capture raw data, process, and analyze it using facial recognition to identify persons of interest and suspicious activities that may be occurring directly at the edge.
Asia Pacific to grow at the highest CAGR during the forecast period
North America is expected to hold the largest market size in the global edge AI software market. In contrast, Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. The APAC region shows rapid growth owing to various reasons such as the expansion of local enterprises and government initiatives that are focused on advancements in AI technology. The major countries in APAC are technology-driven and offer huge investment and revenue opportunities.
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Key Market Players
The edge AI software vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global edge AI software market include Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Nutanix (US), Synaptics Incorporated (US), SWIM.AI Inc. (US), Imagimob AB (Sweden), Anagog Ltd. (Israel), TIBCO Software Inc. (US), Octonion SA. (Switzerland), FogHorn Systems (US), Bragi (Germany), Gorilla Technology Group (Taiwan), SixSq Sàrl (Switzerland), Azion Technologies LLC (US), ClearBlade Inc. (US), Alef Edge Inc. (US), Adapdix (US), byteLAKE (Poland), Reality Analytics Inc. (US), Deci (Israel), StrataHive (India), edgeworx (US), Invision AI Inc. (Canada), Veea Inc. (US), and Tact.ai Technologies, Inc. (US), Horizon Robotics (China), Kneron Inc. (US), and DeepBrainz AI (India). The study includes an in-depth competitive analysis of these key players in the Edge AI software market with their company profiles, recent developments, and key market strategies.
Scope of the Report
|
Report Metric |
Details |
|
Market size available for years |
2014–2026 |
|
Base year considered |
2019 |
|
Forecast period |
2020–2026 |
|
Forecast units |
USD Million |
|
Segments covered |
Component, Data Source, Application, Vertical, And Region |
|
Geographies covered |
North America, Europe, APAC, Latin America, and MEA |
|
Companies covered |
Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Nutanix (US), Synaptics Incorporated (US), SWIM.AI Inc. (US), Imagimob AB (Sweden), Anagog Ltd. (Israel), TIBCO Software Inc. (US), Octonion SA. (Switzerland), FogHorn Systems (US), Bragi (Germany), Gorilla Technology Group (Taiwan), SixSq Sàrl (Switzerland), Azion Technologies LLC (US), ClearBlade Inc. (US), Alef Edge Inc. (US), Adapdix (US), byteLAKE (Poland), Reality Analytics Inc. (US), Deci (Israel), StrataHive (India), edgeworx (US), Invision AI Inc. (Canada), Veea Inc. (US), and Tact.ai Technologies, Inc. (US), Horizon Robotics (China), Kneron Inc. (US), and DeepBrainz AI (India) |
This research report categorizes the edge AI software market based on components, data source, applications, vertical, and regions.
By Component:
- Solution
- Software Tools
- Platform
- Services
- Training and Consulting
- System Integration and Testing
- Support and Maintenance
By Data Source:
- Video and Image Recognition
- Speech Recognition
- Biometric Data
- Sensor Data
- Mobile Data
By Application:
- Autonomous Vehicles
- Access Management
- Video Surveillance
- Remote Monitoring And Predictive Maintenance
- Telemetry
- Energy Management
- Others (Point of Sales, Field Service Support, Precision Agriculture, AR/VR, And Smart Wearables)
By Vertical:
- Government and Public
- Manufacturing
- Automotive
- Energy and Utilities
- Telecom
- Healthcare
- Others (Media and Entertainment, Retail and Ecommerce, and Banking, Financial Services and Insurance [BFSI]).
By Region:
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- APAC
- China
- Japan
- India
- Rest of APAC
- MEA
- UAE
- Israel
- Rest of MEA
- Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In December 2020, Synaptics partnered with Eta Compute and launched Katana Edge AI Platform that combines Synaptics’ proven low-power SoC architecture with energy-efficient AI software.
- In December 2020, Octonion released an expansion package dedicated to AI-based industrial condition monitoring on STMicroelectronics STM32 MCUs.
- In May 2020, IBM announced new services and solutions backed by a broad ecosystem of partners to help enterprises and telecommunications companies boost their transition to edge computing in the 5G era.
- In October 2019, FogHorn Systems announced new features for the Lightning Edge AI platform. The features include tools and enhancements for empowering operations technology (OT) professionals. The new drag-and-drop analytic programming capabilities and rich visualization dashboards enable OT staff to derive insights more quickly from real-time data without the need for assistance from data science teams.
- In September 2019, TIBCO Software announced an enhancement to the TIBCO Connected Intelligence Platform to accelerate TIBCO customers’ time-to-action, enabling them to innovate faster and more sustainably, ultimately turning ideas and investments into business value.
- In May 2019, Microsoft released Azure ML updates. The Azure ML platform enables intelligent applications, such as product recommendations in retail, load forecasting in energy production, image processing in healthcare, and predictive maintenance in manufacturing. The update released by Microsoft enables enterprise-grade model deployment, management, and monitoring to simplify and accelerate the ML life cycle.
- In February 2019, Bragi launched a technology suite for the next generation of the Hearable. The Suite consists of nanoSYSTEMS, nanoOS, and nanoAI. Based on this technology suite, Bragi offers both custom-designed product solutions and ready-to-produce reference designs for hearables.
Frequently Asked Questions (FAQ):
What is Edge AI software?
As per Vector ITC, edge AI is a system using ML algorithms for processing data generated by a hardware device at the local level. The device does not need to be connected to the Internet to process such data and make decisions in real-time, in a matter of milliseconds. Hence, it reduces the communication costs derived from the cloud model. In other words, edge AI takes the data and its processing to the closest point of interaction with the user, whether it is a computer, an IoT device, or an edge server.
Which countries are considered in the European region?
The report includes an analysis of the UK, Germany, and France in the European region.
Which are key verticals adopting edge AI software solution and services?
Key verticals adopting edge AI software solution and services include government and public, manufacturing, automotive, energy and utilities, telecom, healthcare, and others (media and entertainment, retail and eCommerce, and Banking, Financial Services and Insurance [BFSI]).
Which are the key drivers supporting the growth of the Edge AI software market?
The key drivers supporting the growth of the Edge AI software market include increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications.
Who are the key vendors in the Edge AI software market?
The key vendors operating in the Edge AI software market Microsoft, Goolge, IBM, AWS, Nutanix, Synaptics, Imagimob, Veea, Octonion, Bragi, and FogHorn Systems. These vendors have adopted different types of organic and inorganic growth strategies such as new product launches, product enhancements, partnerships, and mergers and acquisitions. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 32)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 FACTORS IMPACTING THE GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS AND EXCLUSIONS
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 USD EXCHANGE RATE, 2018–2020
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 42)
2.1 RESEARCH DATA
FIGURE 6 EDGE AI SOFTWARE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 2 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 8 RESEARCH METHODOLOGY: APPROACH
FIGURE 9 EDGE AI SOFTWARE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
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
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
2.5 COMPANY EVALUATION MATRIX METHODOLOGY
FIGURE 16 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 ASSUMPTIONS FOR THE STUDY
2.7 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 59)
TABLE 4 GLOBAL EDGE AI SOFTWARE MARKET SIZE AND GROWTH RATE, 2014–2019 (USD MILLION, Y-O-Y%)
TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2019–2026 (USD MILLION, Y-O-Y%)
FIGURE 17 SOLUTIONS SEGMENT TO HOLD A LARGER MARKET SIZE IN 2020
FIGURE 18 VIDEO AND IMAGE RECOGNITION SEGMENT HELD 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 62
FIGURE 21 ENERGY AND UTILITIES VERTICAL TO HOLD THE LARGEST MARKET SIZE IN 2020 63
FIGURE 22 NORTH AMERICA HELD THE LARGEST MARKET SHARE IN 2020
4 PREMIUM INSIGHTS (Page No. - 64)
4.1 BRIEF OVERVIEW OF THE EDGE AI SOFTWARE MARKET
FIGURE 23 INCREASING INTERNET PENETRATION AND GROWING USE OF CONNECTED DEVICES TO BOOST THE EDGE AI MARKET GROWTH
4.2 MARKET, BY APPLICATION
FIGURE 24 VIDEO SURVEILLANCE SEGMENT TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
4.3 MARKET, BY REGION
FIGURE 25 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2020
4.4 MARKET, BY APPLICATION AND VERTICAL
FIGURE 26 VIDEO SURVEILLANCE SEGMENT AND ENERGY AND UTILITIES VERTICAL HELD THE LARGEST MARKET SHARES IN NORTH AMERICA IN 2020
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 66)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 27 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: EDGE AI SOFTWARE MARKET
5.2.1 DRIVERS
5.2.1.1 Increasing enterprise workloads on the cloud
5.2.1.2 Rapid growth in the number of intelligent applications
5.2.2 RESTRAINTS
5.2.2.1 Privacy and security concerns related to edge AI solutions
5.2.3 OPPORTUNITIES
5.2.3.1 Emergence of the 5G network to bring IT and telecom together
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 (Page No. - 69)
6.1 EVOLUTION
FIGURE 28 EVOLUTION OF EDGE AI
6.2 ECOSYSTEM
FIGURE 29 ECOSYSTEM OF EDGE AI
6.3 EDGE AI SOFTWARE MARKET: COVID-19 IMPACT
FIGURE 30 MARKET TO WITNESS SLOWDOWN IN GROWTH IN 2020
6.4 CASE STUDY ANALYSIS
6.4.1 USE CASE 1: CREATING MOTION INTELLIGENCE WITH IMAGIMOB’S SENSORBEAT AI SOFTWARE
6.4.2 USE CASE 2: USING IMAGIMOB’S SENSORBEAT AI SOFTWARE FOR PREDICTIVE MAINTENANCE IN MANUFACTURING
6.4.3 USE CASE 3: USING ANAGOG JEDAI 4.0 TO PERSONALIZE BANKING EXPERIENCE
6.4.4 USE CASE 4: USING HIGH-PERFORMANCE EMBEDDED COMPUTING (HPEC) SYSTEMS OF EUROTECH FOR AUTONOMOUS DRIVING
6.4.5 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
6.5 VALUE CHAIN ANALYSIS
FIGURE 31 VALUE CHAIN ANALYSIS
6.6 SUPPLY CHAIN ANALYSIS
FIGURE 32 SUPPLY CHAIN ANALYSIS
6.7 TECHNOLOGY ANALYSIS
6.7.1 EDGE AI AND INTERNET OF THINGS (IOT)
6.7.2 EDGE AI AND 5G
6.7.3 EDGE AI AND BLOCKCHAIN
6.8 PORTER’S FIVE FORCES ANALYSIS
FIGURE 33 PORTER’S FIVE FORCES ANALYSIS
6.8.1 THREAT OF NEW ENTRANTS
6.8.2 THREAT OF SUBSTITUTES
6.8.3 BARGAINING POWER OF SUPPLIERS
6.8.4 BARGAINING POWER OF BUYERS
6.8.5 INTENSITY OF COMPETITIVE RIVALRY
6.9 PRICING ANALYSIS
6.10 PATENT ANALYSIS
6.10.1 INNOVATION AND PATENT REGISTRATIONS
TABLE 6 IMPORTANT INNOVATION AND PATENT REGISTRATIONS, 2019-2020
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
7 EDGE AI SOFTWARE MARKET, BY COMPONENT (Page No. - 82)
7.1 INTRODUCTION
7.1.1 COMPONENT: MARKET DRIVERS
7.1.2 COMPONENT: COVID-19 IMPACT
FIGURE 34 SERVICES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 7 MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 8 MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
7.2 SOLUTIONS
FIGURE 35 PLATFORM SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 9 SOLUTIONS: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 10 SOLUTIONS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
TABLE 11 SOLUTIONS: MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION)
TABLE 12 SOLUTIONS: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
7.2.1 SOFTWARE TOOLS
TABLE 13 SOFTWARE TOOLS: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 14 SOFTWARE TOOLS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
7.2.2 PLATFORM
TABLE 15 PLATFORM: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 16 PLATFORM: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
7.3 SERVICES
FIGURE 36 SYSTEM INTEGRATION AND TESTING SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 17 SERVICES: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 18 SERVICES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
TABLE 19 SERVICES: MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION)
TABLE 20 SERVICES: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
7.3.1 TRAINING AND CONSULTING SERVICES
TABLE 21 TRAINING AND CONSULTING SERVICES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 22 TRAINING AND CONSULTING SERVICES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
7.3.2 SYSTEM INTEGRATION AND TESTING
TABLE 23 SYSTEM INTEGRATION AND TESTING: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 24 SYSTEM INTEGRATION AND TESTING: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
7.3.3 SUPPORT AND MAINTENANCE
TABLE 25 SUPPORT AND MAINTENANCE: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 26 SUPPORT AND MAINTENANCE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8 EDGE AI SOFTWARE MARKET, BY DATA SOURCE (Page No. - 94)
8.1 INTRODUCTION
8.1.1 DATA SOURCE: MARKET DRIVERS
8.1.2 DATA SOURCE: COVID-19 IMPACT
FIGURE 37 MOBILE DATA SEGMENT TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 27 MARKET SIZE, BY DATA SOURCE, 2014–2019 (USD MILLION)
TABLE 28 MARKET SIZE, BY DATA SOURCE, 2019–2026 (USD MILLION)
8.2 VIDEO AND IMAGE RECOGNITION
TABLE 29 VIDEO AND IMAGE RECOGNITION: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 30 VIDEO AND IMAGE RECOGNITION: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.3 SPEECH RECOGNITION
TABLE 31 SPEECH RECOGNITION: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 32 SPEECH RECOGNITION: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.4 BIOMETRIC DATA
TABLE 33 BIOMETRIC DATA: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 34 BIOMETRIC DATA: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.5 SENSOR DATA
TABLE 35 SENSOR DATA: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 36 SENSOR DATA: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.6 MOBILE DATA
TABLE 37 MOBILE DATA: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 38 MOBILE DATA: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9 EDGE AI SOFTWARE MARKET, BY APPLICATION (Page No. - 103)
9.1 INTRODUCTION
9.1.1 APPLICATIONS: MARKET DRIVERS
9.1.2 APPLICATIONS: COVID-19 IMPACT
FIGURE 38 ENERGY MANAGEMENT SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 39 MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 40 MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
9.2 AUTONOMOUS VEHICLES
TABLE 41 AUTONOMOUS VEHICLES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 42 AUTONOMOUS VEHICLES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.3 ACCESS MANAGEMENT
TABLE 43 ACCESS MANAGEMENT: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 44 ACCESS MANAGEMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.4 VIDEO SURVEILLANCE
TABLE 45 VIDEO SURVEILLANCE: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 46 VIDEO SURVEILLANCE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.5 REMOTE MONITORING AND PREDICTIVE MAINTENANCE
TABLE 47 REMOTE MONITORING AND PREDICTIVE MAINTENANCE: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 48 REMOTE MONITORING AND PREDICTIVE MAINTENANCE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.6 TELEMETRY
TABLE 49 TELEMETRY: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 50 TELEMETRY: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.7 ENERGY MANAGEMENT
TABLE 51 ENERGY MANAGEMENT: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 52 ENERGY MANAGEMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.8 OTHERS
TABLE 53 OTHER APPLICATIONS: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 54 OTHER APPLICATIONS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10 EDGE AI SOFTWARE MARKET, BY VERTICAL (Page No. - 114)
10.1 INTRODUCTION
10.1.1 VERTICAL: MARKET DRIVERS
10.1.2 VERTICAL: COVID-19 IMPACT
10.2 EDGE AI SOFTWARE: ENTERPRISE USE CASES
FIGURE 39 GOVERNMENT AND PUBLIC VERTICAL TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 55 MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 56 MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
10.3 GOVERNMENT AND PUBLIC
TABLE 57 GOVERNMENT AND PUBLIC: USE CASES
TABLE 58 GOVERNMENT AND PUBLIC: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 59 GOVERNMENT AND PUBLIC: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.4 MANUFACTURING
TABLE 60 MANUFACTURING: USE CASES
TABLE 61 MANUFACTURING: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 62 MANUFACTURING: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.5 AUTOMOTIVE
TABLE 63 AUTOMOTIVE: USE CASES
TABLE 64 AUTOMOTIVE: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 65 AUTOMOTIVE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.6 ENERGY AND UTILITIES
TABLE 66 ENERGY AND UTILITIES: USE CASES
TABLE 67 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 68 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.7 TELECOM
TABLE 69 TELECOM: USE CASES
TABLE 70 TELECOM: EDGE AI SOFTWARE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 71 TELECOM: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.8 HEALTHCARE
TABLE 72 HEALTHCARE: USE CASES
TABLE 73 HEALTHCARE: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 74 HEALTHCARE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.9 OTHERS
TABLE 75 OTHERS: USE CASES
TABLE 76 OTHERS VERTICALS: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 77 OTHERS VERTICALS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
11 EDGE AI SOFTWARE MARKET, BY REGION (Page No. - 128)
11.1 INTRODUCTION
FIGURE 40 INDIA TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 41 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 78 MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 79 MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: MARKET DRIVERS
11.2.2 NORTH AMERICA: COVID-19 IMPACT
11.2.3 NORTH AMERICA: REGULATIONS
11.2.3.1 The Personal Information Protection and Electronic Documents Act (PIPEDA)
11.2.3.2 California Consumer Privacy Act
FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT
TABLE 80 NORTH AMERICA: EDGE AI SOFTWARE MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 81 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 82 NORTH AMERICA: MARKET SIZE, BY SOLUTIONS, 2014–2019 (USD MILLION)
TABLE 83 NORTH AMERICA: MARKET SIZE, BY SOLUTIONS, 2019–2026 (USD MILLION)
TABLE 84 NORTH AMERICA: MARKET SIZE, BY SERVICES, 2014–2019 (USD MILLION)
TABLE 85 NORTH AMERICA: MARKET SIZE, BY SERVICES, 2019–2026 (USD MILLION)
TABLE 86 NORTH AMERICA: MARKET SIZE, BY DATA SOURCE, 2014–2019 (USD MILLION)
TABLE 87 NORTH AMERICA: MARKET SIZE, BY DATA SOURCE, 2019–2026 (USD MILLION)
TABLE 88 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 89 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 90 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 91 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 92 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 93 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.2.4 US
11.2.5 CANADA
11.3 EUROPE
11.3.1 EUROPE: EDGE AI SOFTWARE MARKET DRIVERS
11.3.2 EUROPE: COVID-19 IMPACT
11.3.3 EUROPE: REGULATIONS
11.3.3.1 General Data Protection Regulation
11.3.3.2 European Committee for Standardization
11.3.3.3 EU Data Governance Act
TABLE 94 EUROPE: MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 95 EUROPE: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 96 EUROPE: MARKET SIZE, BY SOLUTIONS, 2014–2019 (USD MILLION)
TABLE 97 EUROPE: MARKET SIZE, BY SOLUTIONS, 2019–2026 (USD MILLION)
TABLE 98 EUROPE: MARKET SIZE, BY SERVICES, 2014–2019 (USD MILLION)
TABLE 99 EUROPE: MARKET SIZE, BY SERVICES, 2019–2026 (USD MILLION)
TABLE 100 EUROPE: MARKET SIZE, BY DATA SOURCE, 2014–2019 (USD MILLION)
TABLE 101 EUROPE: EDGE AI SOFTWARE MARKET SIZE, BY DATA SOURCE, 2019–2026 (USD MILLION)
TABLE 102 EUROPE: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 103 EUROPE: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 104 EUROPE: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 105 EUROPE: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 106 EUROPE: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 107 EUROPE: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.3.4 UK
11.3.5 GERMANY
11.3.6 FRANCE
11.3.7 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: EDGE AI SOFTWARE MARKET DRIVERS
11.4.2 ASIA PACIFIC: COVID-19 IMPACT
11.4.3 ASIA PACIFIC: REGULATIONS
11.4.3.1 Personal Data Protection Act
FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 108 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 109 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 110 ASIA PACIFIC: MARKET SIZE, BY SOLUTIONS, 2014–2019 (USD MILLION)
TABLE 111 ASIA PACIFIC: MARKET SIZE, BY SOLUTIONS, 2019–2026 (USD MILLION)
TABLE 112 ASIA PACIFIC: MARKET SIZE, BY SERVICES, 2014–2019 (USD MILLION)
TABLE 113 ASIA PACIFIC: MARKET SIZE, BY SERVICES, 2019–2026 (USD MILLION)
TABLE 114 ASIA PACIFIC: EDGE AI SOFTWARE MARKET SIZE, BY DATA SOURCE, 2014–2019 (USD MILLION)
TABLE 115 ASIA PACIFIC: MARKET SIZE, BY DATA SOURCE, 2019–2026 (USD MILLION)
TABLE 116 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 117 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 118 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 119 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 120 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 121 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.4.4 CHINA
11.4.5 JAPAN
11.4.6 INDIA
11.4.7 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: COVID-19 IMPACT
11.5.3 MIDDLE EAST AND AFRICA: REGULATIONS
11.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
11.5.3.2 Cloud Computing Framework
11.5.3.3 GDPR Applicability in KSA
11.5.3.4 Protection of Personal Information Act
11.5.3.5 TRA’s IoT Regulatory Policy
TABLE 122 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 123 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 124 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOLUTIONS, 2014–2019 (USD MILLION)
TABLE 125 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOLUTIONS, 2019–2026 (USD MILLION)
TABLE 126 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICES, 2014–2019 (USD MILLION)
TABLE 127 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICES, 2019–2026 (USD MILLION)
TABLE 128 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DATA SOURCE, 2014–2019 (USD MILLION)
TABLE 129 MIDDLE EAST AND AFRICA: EDGE AI SOFTWARE MARKET SIZE, BY DATA SOURCE, 2019–2026 (USD MILLION)
TABLE 130 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 131 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 132 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 133 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 134 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 135 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.5.4 ISRAEL
11.5.5 UAE
11.5.6 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: COVID-19 IMPACT
11.6.3 LATIN AMERICA: REGULATIONS
11.6.3.1 Brazil Data Protection Law
11.6.3.2 Argentina Personal Data Protection Law No. 25.326
TABLE 136 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 137 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 138 LATIN AMERICA: MARKET SIZE, BY SOLUTIONS, 2014–2019 (USD MILLION)
TABLE 139 LATIN AMERICA: MARKET SIZE, BY SOLUTIONS, 2019–2026 (USD MILLION)
TABLE 140 LATIN AMERICA: MARKET SIZE, BY SERVICES, 2014–2019 (USD MILLION)
TABLE 141 LATIN AMERICA: MARKET SIZE, BY SERVICES, 2019–2026 (USD MILLION)
TABLE 142 LATIN AMERICA: MARKET SIZE, BY DATA SOURCE, 2014–2019 (USD MILLION)
TABLE 143 LATIN AMERICA: EDGE AI SOFTWARE MARKET SIZE, BY DATA SOURCE, 2019–2026 (USD MILLION)
TABLE 144 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 145 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 146 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 147 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 148 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 149 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.6.4 BRAZIL
11.6.5 MEXICO
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE (Page No. - 173)
12.1 OVERVIEW
12.2 MARKET EVALUATION FRAMEWORK
FIGURE 44 MARKET EVALUATION FRAMEWORK
12.3 MARKET SHARE, 2020
FIGURE 45 GOOGLE TO LEAD THE EDGE AI SOFTWARE MARKET IN 2021
12.4 HISTORIC REVENUE ANALYSIS OF KEY MARKET PLAYERS
12.4.1 INTRODUCTION
FIGURE 46 HISTORIC REVENUE ANALYSIS OF KEY MARKET PLAYERS
12.5 KEY MARKET DEVELOPMENTS
12.5.1 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS
TABLE 150 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS, 2018–2020
12.5.2 BUSINESS EXPANSIONS
TABLE 151 BUSINESS EXPANSIONS, 2019–2020
12.5.3 MERGERS AND ACQUISITIONS
TABLE 152 MERGERS AND ACQUISITIONS, 2018–2020
12.5.4 PARTNERSHIPS, AGREEMENTS, CONTRACTS, AND COLLABORATIONS
TABLE 153 PARTNERSHIPS, AGREEMENTS, CONTRACTS, AND COLLABORATIONS, 2019–2020
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
FIGURE 47 RANKING OF KEY PLAYERS, 2020
12.6.4 STAR
12.6.5 EMERGING LEADER
12.6.6 PERVASIVE
12.6.7 PARTICIPANT
FIGURE 48 EDGE AI SOFTWARE MARKET (GLOBAL), COMPANY EVALUATION MATRIX, 2020
12.7 STARTUP/SME EVALUATION MATRIX, 2020
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
FIGURE 49 EDGE AI SOFTWARE MARKET (GLOBAL), STARTUP/SME EVALUATION MATRIX, 2020
13 COMPANY PROFILES (Page No. - 185)
(Business overview, Products offered, Recent Developments, SWOT analysis, MNM view)*
13.1 INTRODUCTION
13.2 MICROSOFT
FIGURE 50 MICROSOFT: COMPANY SNAPSHOT
13.3 IBM
FIGURE 51 IBM: COMPANY SNAPSHOT
13.4 GOOGLE
FIGURE 52 GOOGLE: COMPANY SNAPSHOT
13.5 AWS
FIGURE 53 AWS: COMPANY SNAPSHOT
13.6 NUTANIX
FIGURE 54 NUTANIX: COMPANY SNAPSHOT
13.7 SYNAPTICS
FIGURE 55 SYNAPTICS: COMPANY SNAPSHOT
13.8 TIBCO SOFTWARE
13.9 OCTONION
13.10 IMAGIMOB
13.11 ANAGOG
13.12 VEEA
13.13 FOGHORN SYSTEMS
13.14 BRAGI
13.15 GORILLA TECHNOLOGY GROUP
13.16 TACT.AI
13.17 SIXSQ
13.18 AZION TECHNOLOGIES
13.19 CLEARBLADE
13.20 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
*Details on Business overview, Products offered, Recent Developments, SWOT analysis, MNM view might not be captured in case of unlisted companies.
14 APPENDIX (Page No. - 242)
14.1 ADJACENT AND RELATED MARKETS
14.1.1 INTRODUCTION
14.1.2 EDGE COMPUTING MARKET—GLOBAL FORECAST TO 2025
14.1.2.1 Market definition
14.1.2.2 Market overview
14.1.2.2.1 Edge computing market, by component
TABLE 154 EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 155 EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2020–2025 (USD MILLION)
14.1.2.2.2 Edge computing market, by application
TABLE 156 EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 157 EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
14.1.2.2.3 Edge computing market, by organization size
TABLE 158 EDGE COMPUTING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2019 (USD MILLION)
TABLE 159 EDGE COMPUTING MARKET SIZE, BY ORGANIZATION SIZE, 2020–2025 (USD MILLION)
14.1.2.2.4 Edge computing market, by vertical
TABLE 160 EDGE COMPUTING MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
TABLE 161 EDGE COMPUTING MARKET SIZE, BY VERTICAL, 2020–2025 (USD MILLION)
14.1.2.2.5 Edge computing market, by region
TABLE 162 EDGE COMPUTING MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 163 EDGE COMPUTING MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
TABLE 164 NORTH AMERICA: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 165 NORTH AMERICA: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 166 EUROPE: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 167 EUROPE: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 168 ASIA PACIFIC: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 169 ASIA PACIFIC: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 170 MIDDLE EAST AND AFRICA: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 171 MIDDLE EAST AND AFRICA: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 172 LATIN AMERICA: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 173 LATIN AMERICA: EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 AVAILABLE CUSTOMIZATIONS
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of the edge AI software market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the edge AI software market.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from edge AI software solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered 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 following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the edge AI software market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the market. The bottom-up approach was used to arrive at the overall market size of the global edge AI software market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market were identified through extensive secondary research.
- The market size, in terms of value, was determined through primary and secondary research processes.
- All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and forecast the edge AI software market by component ((solutions and services), solutions (software tools and platform), services (training and consulting, system integration and testing, and support and maintenance)), data source, application, vertical, and region
- To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
- To analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the total market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the edge AI software market
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin America
- To profile the key players of the market and comprehensively analyze their market shares and core competencies
- To track and analyze competitive developments, such as new product launches, mergers & acquisitions, and partnerships, agreements, and collaborations in the market
- To analyze the impact of the COVID-19 pandemic on the edge AI software market.
Available customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American edge AI software market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American market
- Further breakup of the MEA market
Company information
- Detailed analysis and profiling of additional market players up to 5
Get in-depth analysis of the COVID-19 impact on the Edge AI Software Market
Benchmarking the rapid strategy shifts of the Top 100 companies in the Edge AI Software Market
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- Who will be your Top Customer; what will make them switch?
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Growth opportunities and latent adjacency in Edge AI Software Market
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