Covid-19 Impact On Edge AI Software Market by Application (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring & Predictive Maintenance, Telemetry and Energy Management), Data Source, Vertical and Region - Global Forecast to 2021
[62 Pages Report] Amid COVID-19, the global edge AI software market size is expected to grow from USD 470 million in 2019 to USD 665 million by 2021 at a Compound Annual Growth Rate (CAGR) of 19.0% during the forecast period. Enterprises supporting remote working capabilities, automation in the manufacturing sector, and increased demand for remote monitoring and predictive analytics to induce investment in IT infrastructure for hyperscalers, edge AI software/platform providers, and internet service providers (ISPs) are the major factors driving the market growth. The rise in demand for real-time data analysis and cloud-based business continuity tools and services and suitability of edge cloud environments best suited for the current unprecedented scenario are other parameters driving growth.
The mobile data source to show the highest growth rate during the forecast period within the global edge AI software industry
The mobile data source segment is estimated to grow at the highest CAGR in the edge AI software market during the forecast period, followed by the video & image recognition data source. Strict measures by countries to control the health effects of the pandemic has resulted in increased remote working capabilities, and this has led to increased mobile data usage. Additionally, government agencies across the globe have started using mobile data for contact tracing and study the spread of the virus to identify potential hotspots that have led to an increased usage of mobile data.
The video surveillance segment to record higher investment and growth in 2020 within the global edge AI software market
The use of video surveillance has been extended from operations rooms to mobile devices; COVID-19 has expediated the use of video surveillance use cases. Telehealth in the healthcare sector has become a new norm, as health organizations around the world, such as WHO, CDC has presented guidelines for its use. Many healthcare organizations are utilizing telehealth to keep their workers safe and treat patients. Private doctors and healthcare institutions are providing online consulting amidst country lockdowns.
Government across the globe are making use of advanced video surveillance techniques such as drones, CCTV cameras to manage social distancing, monitor quarantined people, and track the spread of the virus. China, Russia, and South Korea are making use of video analytics to monitor its citizens closely and potentially protect them from the virus. Once the lockdown eases, many more industries are expected to see higher adoption of video analytics tools, making video surveillance market to grow at a higher rate than earlier expected.
Healthcare industry to grow fastest in edge AI software market during the forecast period 2019-2021
COVID-19 has put healthcare industry under tremendous pressure to enhance its services, ventilators, and availability of essential drugs, across the world. Healthcare providers are adopting technologies at a fast pace to allow patient care remotely for minimizing the exposure to the virus. The use of intelligent robots, makeshift ventilators, and telemedicine are on the rise.
Healthcare organizations are using advanced technologies, such as AI and ML, to analyze large datasets around COVID-19 for monitoring the impact of the virus, diagnosing, and treatment plan for patients. Many companies have developed several AI-enabled systems to detect COVID-19 symptoms in chest CT or X-ray scans. These deep learning tools are helping to reduce the workloads on radiologists and making the process faster.
LATAM edge AI software market to record the highest growth rate during the forecast period
While technology spending in Latin America has increased over a period, however the setback due to recent COVID-19 pandemic is imminent. Edge AI software adoption is expected to increase in sectors where remote working capabilities can help in sustaining enterprise business functions. Those sectors include the public sector and healthcare. Other areas such as manufacturing, transportation & logistics, and telecom are expected to increase spending on public edge AI software in the next 2-3 years.
Key Market Players
The major vendors in the edge AI software market include Google (US), Microsoft (US), AWS (US), IBM (US), Nutanix (US), TIBCO (US), Octonion (US), SWIM AI (US), Imagibob (US), Anagog (Israel), Veea (US), Foghorn Systems (US), Xnor.AI (US), Bragi (US), Invision AI (US), and Tact AI (US). These players have adopted various growth strategies, such as partnerships and new service launches, to expand their presence further in the COVID-19 impact on edge AI software market and broaden their customer base.
AMAZON WEB SERVICES (AWS) (US) is a major player in the global edge AI software market. The company provides edge AI services (AWS Greengrass, AWS Snowball edge) to enterprises across the globe. AWS enabled operational data connectivity to AWS IoT Greengrass, connecting disparate industrial systems to AWS using the ignition edge. Additionally, AWS offers AWS Diagnostic Development Initiative (DDI) to accelerate COVID-19 research, diagnostics, and testing. They have joined High Performance Computing (HPC) along with IBM, Microsoft, and Google to provide computational power for researchers in the healthcare sector, allowing them to accelerate COVID-19 diagnostics, research, and testing. AWS has focused on reliable, scalable, and compute power, which can be delivered, along with industry-leading services such as analytics and machine learning, to its customers.
IBM (US) is a major vendor in the global edge AI software market. The company provides IBM Edge Solution, IBM Edge Delivery Services, IBM Edge Application Manager, and IBM Cloud Pak products to cater to the demand for edge AI solutions. Recently IBM Research, Watson, and Global service teams have joined forces to develop Watson Assistant for citizens to help governments provide information on COVID-19. It has been deployed in more than 18 countries. The company is working with non-governmental organizations to enable schools to function smoothly during the pandemic.
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Get online access to the report on the World's First Market Intelligence Cloud
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- Competitor Analysis with Interactive dashboard
- Latest News, Updates & Trend analysis
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Report Metric |
Details |
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Market size available for years |
2019-2021 |
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Base year considered |
2019 |
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Forecast period |
2020–2021 |
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Forecast units |
USD Million |
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Segments covered |
Application (autonomous vehicles, access management, video surveillance, remote monitoring and predictive maintenance, telemetry, energy management, and others), data sources (video and image recognition, speech recognition, mobile data, biometrics data, sensors data), verticals (government and public, manufacturing, transportation and logistics, energy and utilities, telecom, healthcare, and others) |
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Geographies covered |
North America, APAC, Europe, MEA, and Latin America |
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Companies covered |
Google (US), Microsoft (US), AWS (US), IBM (US), Nutanix (US), TIBCO (US), Octonion (US), SWIM AI (US), Imagibob (US), Anagog (Israel), Veea (US), Foghorn Systems (US), Xnor.AI (US), Bragi (US), Invision AI (US), Tact AI (US), |
The research report categorizes the COVID-19 Impact on edge AI software market based on the application, data source, verticals, and region.
By Application
- Autonomous vehicles
- Access Management
- Video surveillance
- Remote monitoring and predictive maintenance
- Telemetry
- Energy Management
- Others
By Data Source
- Autonomous vehicles
- Speech recognition
- Mobile data
- Biometrics data
- Sensors data
By Vertical
- Government and public sector
- Manufacturing
- Transportation and logistics
- Energy and utilities
- Telecom
- Healthcare
- Others
By region:
- North America
- Europe
- APAC
- MEA
- Latin America
Recent Developments
- Microsoft launched Edge Zones and partnered with AT&T in 5G rollout to provide low latency in remote working, events, meetings and smart infrastructure
- AWS diagnostics development initiative by AWS provides support for innovation in rapid and accurate patient testing of COVID-19 and other diagnostic solutions for future outbreaks
- Anagog raised series c funding of USD 10 million, and according to its CEO, the new funding will help them to accelerate growth and enhance its technology offerings
Key questions addressed by the report
- What are the growth opportunities in the COVID-19 impact on edge AI software market?
- What is the competitive landscape scenario in the impact of COVID-19 on edge AI software market?
- Which regulations are expected to have an impact on the impact of COVID-19 on edge AI software market?
- How has the impact of COVID-19 on edge AI software data sources and segments have evolved from traditional technologies?
- What are the dynamics of the impact of COVID-19 on edge AI software market?
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 10)
1.1 COVID-19 HEALTH ASSESSMENT
1.2 COVID-19 ECONOMIC ASSESSMENT
1.2.1 COVID-19 IMPACT ON THE ECONOMY—SCENARIO ASSESSMENT
2 RESEARCH METHODOLOGY (Page No. - 16)
2.1 RESEARCH ASSUMPTIONS
2.2 DATA TRIANGULATION
2.3 PRIMARY DATA
2.3.1 INCLUSIONS/EXCLUSIONS
2.4 STAKEHOLDERS
3 EXECUTIVE SUMMARY (Page No. - 19)
4 IMPACT ON ECOSYSTEM AND EXTENDED ECOSYSTEM (Page No. - 20)
4.1 BY STAKEHOLDER
4.1.1 TECHNOLOGY PROVIDERS
4.1.2 SOLUTION DESIGNERS AND DEVELOPERS/CONSULTANTS
4.1.3 SYSTEM INTEGRATORS
4.1.4 RESELLERS
4.1.5 MANAGED SERVICE PROVIDERS
4.2 COVID-19 PANDEMIC-DRIVEN MARKET DYNAMICS AND FACTOR ANALYSIS
4.2.1 DRIVERS AND OPPORTUNITIES
4.2.2 RESTRAINTS AND CHALLENGES
4.2.3 CUMULATIVE GROWTH ANALYSIS
5 BUSINESS IMPLICATIONS OF COVID-19 ON THE EDGE AI SOFTWARE MARKET (Page No. - 24)
5.1 INTRODUCTION
5.2 IMPLICATIONS ON APPLICATION SEGMENTS (PESSIMISTIC, REALISTIC, AND OPTIMISTIC SCENARIOS)
5.2.1 AUTONOMOUS VEHICLES FORECAST (2020-2021)
5.2.2 ACCESS MANAGEMENT FORECAST (2020-2021)
5.2.3 VIDEO SURVEILLANCE FORECAST (2020-2021)
5.2.4 REMOTE MONITORING AND PREDICTIVE MAINTENANCE FORECAST (2020-2021)
5.2.5 TELEMETRY FORECAST (2020-2021)
5.2.6 ENERGY MANAGEMENT FORECAST (2020-2021)
5.2.7 OTHERS FORECAST (2020-2021)
5.3 IMPLICATIONS ON DATA SOURCE SEGMENTS (PESSIMISTIC, PRE-COVID-19,AND OPTIMISTIC SCENARIOS)
5.3.1 VIDEO AND IMAGE RECOGNITION FORECAST (2020-2021)
5.3.2 SPEECH RECOGNITION FORECAST (2020-2021)
5.3.3 MOBILE DATA FORECAST (2020-2021)
5.3.4 BIOMETRICS DATA FORECAST (2020-2021)
5.3.5 SENSORS DATA FORECAST (2020-2021)
6 COVID-19 IMPACT ON MAJOR VERTICALS WITH USE CASES AND HOW CLIENTS ARE RESPONDING TO THE CURRENT SITUATION (Page No. - 37)
6.1 GOVERNMENT AND PUBLIC
6.1.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.1.2 KEY USE CASES
6.1.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.2 MANUFACTURING
6.2.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.2.2 KEY USE CASES
6.2.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.3 TRANSPORTATION AND LOGISTICS
6.3.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.3.2 KEY USE CASES
6.3.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.4 ENERGY AND UTILITIES
6.4.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.4.2 KEY USE CASES
6.4.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.5 TELECOM
6.5.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.5.2 KEY USE CASES
6.5.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.6 HEALTHCARE
6.6.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.6.2 KEY USE CASES
6.6.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
6.7 OTHERS
6.7.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
6.7.2 KEY USE CASES: OTHERS
6.7.3 MNM VIEWPOINT (VERTICAL’S RESPONSE TO COVID-19)
7 COVID-19 IMPACT ON REGIONS (Page No. - 50)
7.1 INTRODUCTION
7.2 NORTH AMERICA
7.2.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.3 EUROPE
7.3.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.4 ASIA PACIFIC
7.4.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.5 MIDDLE EAST AND AFRICA
7.5.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
7.6 LATIN AMERICA
7.6.1 FORECAST 2020-2021 (OPTIMISTIC/PRE-COVID-19/PESSIMISTIC)
8 COVID-19-FOCUSED PROFILES OF KEY VENDORS (Page No. - 56)
8.1 INTRODUCTION
8.2 COMPANY PROFILES
9 APPENDIX (Page No. - 60)
9.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
9.1 AUTHOR DETAILS
LIST OF TABLES (8 TABLES)
TABLE 1 COVID-19 USE CASES: GOVERNMENT AND PUBLIC
TABLE 2 COVID-19 USE CASES: MANUFACTURING
TABLE 3 COVID-19 USE CASES: TRANSPORTATION AND LOGISTICS
TABLE 4 COVID-19 USE CASES: ENERGY AND UTILITIES
TABLE 5 COVID-19 USE CASES: TELECOM
TABLE 6 COVID-19 USE CASES: HEALTHCARE
TABLE 7 COVID-19 USE CASES: OTHERS
TABLE 8 COVID-19-ORIENTED PROFILES OF KEY EDGE AI SOFTWARE VENDORS
LIST OF FIGURES (33 FIGURES)
FIGURE 1 COVID-19: THE GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
FIGURE 3 COUNTRIES BEGIN WITH SIMILAR TRAJECTORIES BUT CURVES DEVIATE BASED ON MEASURES TAKEN
FIGURE 4 REVISED GDP FORECASTS FOR SELECT G20 COUNTRIES IN 2020
FIGURE 5 CRITERIA IMPACTING THE GLOBAL ECONOMY
FIGURE 6 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
FIGURE 7 BREAK UP OF PRIMARY PROFILES
FIGURE 8 GLOBAL EDGE AI SOFTWARE MARKET, 2019-2021 (USD MILLION)
FIGURE 9 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN AUTONOMOUS VEHICLES SEGMENT, 2019-2021 (USD MILLION)
FIGURE 10 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN ACCESS MANAGEMENT SEGMENT, 2019-2021 (USD MILLION)
FIGURE 11 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN VIDEO SURVEILLANCE SEGMENT, 2019-2021 (USD MILLION)
FIGURE 12 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN REMOTE MONITORING AND PREDICTIVE MAINTENANCE SEGMENT, 2019-2021 (USD MILLION)
FIGURE 13 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN TELEMETRY SEGMENT, 2019-2021 (USD MILLION)
FIGURE 14 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN ENERGY MANAGEMENT SEGMENT, 2019-2021 (USD MILLION)
FIGURE 15 IMPACT OF COVID-19 ON EDGE AI SOFTWARE IN OTHERS SEGMENT, 2019-2021 (USD MILLION)
FIGURE 16 IMPACT OF COVID-19 ON VIDEO AND IMAGE RECOGNITION, 2019-2021 (USD MILLION)
FIGURE 17 IMPACT OF COVID-19 ON SPEECH RECOGNITION, 2019-2021 (USD MILLION)
FIGURE 18 IMPACT OF COVID-19 ON MOBILE DATA, 2019-2021 (USD MILLION)
FIGURE 19 IMPACT OF COVID-19 ON BIOMETRICS, 2019-2021 (USD MILLION)
FIGURE 20 IMPACT OF COVID-19 ON SENSORS DATA, 2019-2021 (USD MILLION)
FIGURE 21 GOVERNMENT AND PUBLIC: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 22 MANUFACTURING: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 23 TRANSPORTATION AND LOGISTICS: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 24 ENERGY AND UTILITIES: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 25 TELECOM: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 26 CHINA TELECOM REVENUE (FEBRUARY 2019 – FEBRUARY 2020)
FIGURE 27 HEALTHCARE: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 28 OTHERS: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 29 NORTH AMERICA: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 30 EUROPE: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 31 ASIA PACIFIC: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 32 MIDDLE EAST AND AFRICA: EDGE AI MARKET, 2019-2021 (USD MILLION)
FIGURE 33 LATIN AMERICA: EDGE AI MARKET, 2019-2021 (USD MILLION)
The study involved four major steps in estimating the current market size for the COVID-19 impact on edge AI software market. Exhaustive secondary research was done to collect information on the 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 employed to estimate the complete market size. After that, the market breakup and data triangulation methods were used to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources, such as Hoovers, Bloomberg BusinessWeek, and Dun & Bradstreet, have been referred to, to identify and collect information for the study. The secondary sources included annual reports, press releases, and investor presentations of companies; white papers, technology journals, and certified publications and articles from recognized authors, directories, and databases.
Primary Research
The COVID-19 impact on edge AI software market comprises several stakeholders, such as industry participants, subject matter experts (SMEs), C-level executives of key companies, and consultants from various key companies and organizations operating in the edge AI software market. The extensive primary research was conducted to gather information, and verify and validate the critical numbers arrived at. Primary research was conducted further to identify the segmentation types; industry trends; key players; the competitive landscape of different market players; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies. Following is the breakup of the primary respondents:
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Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the overall size of the market. These methods were used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- Key players in the industry and markets have been identified through extensive secondary research.
- The COVID 19 impact on edge AI software market expenditure across regions, along with the geographic split in various segments, have been considered to arrive at the overall market size.
- All percentage shares, splits, and breakups have been 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 data was triangulated by studying various factors and trends from both the demand side and supply side in the COVID 19 impact on edge AI software market.
Report Objectives:
- To define, describe, and forecast the COVID 19 impact on edge AI software market by application, data sources, verticals, and region
- To provide detailed information about the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the edge AI software market growth
- To analyze opportunities in the market and provide details about the competitive landscape for stakeholders and market leaders
- To forecast the market size of the segments with respect to five main regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile the key players and comprehensively analyze their market rankings and core competencies1
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the COVID 19 impact on 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 edge AI software market report:
Geographic Analysis
- Further breakup of additional countries in the APAC market
- Further breakup of additional countries in the MEA market
- Further breakup of additional countries in the European market
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Growth opportunities and latent adjacency in Covid-19 Impact On Edge AI Software Market