Edge AI Software Market Report: Trends, Forecast and Competitive Analysis
Edge AI Software Market Trends and Forecast
The future of the edge AI software market looks promising with opportunities in the government & public sector, manufacturing, healthcare & life science, energy & utility, telecom, media & entertainment, and transportation & logistic sectors. The global edge AI software market is expected to grow with a CAGR of 28% to 30% from 2023 to 2028. The major drivers for this market are increasing enterprise workload on cloud and rapid growth in number of intelligent applications.
Edge AI Software Market by Component, Data Source, Organization Size, Deployment Mode, and End Use Industry
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope, benefits, companies researched and other details of the global edge AI software market report, please download the report brochure.
Edge AI Software Market by Segments
Edge AI Software Market by Segment
The study includes a forecast for the global edge AI software market by component, data source, organization size, deployment mode, end use industry, and region, as follows:
Edge AI Software Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies edge AI software companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the edge AI software companies profiled in this report include.
Q1. What is the edge AI software market size?
Answer: The global edge AI software market is expected to reach an estimated $xx billion by 2028.
Q2. What is the growth forecast for edge AI software market?
Answer: The global edge AI software market is expected to grow with a CAGR of 28% to 30% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the edge AI software market?
Answer: The major drivers for this market are increasing enterprise workload on cloud and rapid growth in number of intelligent applications.
Q4. What are the major segments for edge AI software market?
Answer: The future of the edge AI software market looks promising with opportunities in the government & public sector, manufacturing, healthcare & life science, energy & utility, telecom, media & entertainment, and transportation & logistic sectors.
Q5. Who are the key edge AI software companies?
Answer: Some of the key edge AI software companies are as follows:
Answer: . Lucintel forecasts that solutions will remain the larger segment over the forecast period due to the growing business need for standalone and integration edge AI solutions and increasing usage of edge AI to automate entire business decisions that need human involvement.
Q7. In edge AI software market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to the increasing IoT (Internet of Things) developments fuelled by AI for intelligent systems and smart applications, increasing use of edge AI computing in the forthcoming 5G network, and rising intelligent device launches & collaboration with other companies in the region's edge AI software market.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.
This report answers following 11 key questions
Q.1. What are some of the most promising, high-growth opportunities for the edge AI software market by component (solutions and services), data source (video & image recognition, iris & facial data, sensor data, mobile data, and speech recognition), organization size (large enterprises and SMEs), deployment mode (on-premise and cloud), end use industry (government & public sector, manufacturing, healthcare & life science, energy & utility, telecom, media & entertainment, and transportation & logistic), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to edge AI software market or related to edge AI software companies, edge AI software market size, edge AI software market share, edge AI software analysis
The future of the edge AI software market looks promising with opportunities in the government & public sector, manufacturing, healthcare & life science, energy & utility, telecom, media & entertainment, and transportation & logistic sectors. The global edge AI software market is expected to grow with a CAGR of 28% to 30% from 2023 to 2028. The major drivers for this market are increasing enterprise workload on cloud and rapid growth in number of intelligent applications.
Edge AI Software Market by Component, Data Source, Organization Size, Deployment Mode, and End Use Industry
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope, benefits, companies researched and other details of the global edge AI software market report, please download the report brochure.
Edge AI Software Market by Segments
Edge AI Software Market by Segment
The study includes a forecast for the global edge AI software market by component, data source, organization size, deployment mode, end use industry, and region, as follows:
Edge AI Software Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:
- Solutions
- Services
- Video & Image Recognition
- Iris & Facial Data
- Sensor Data
- Mobile Data
- Speech Recognition
- Large Enterprises
- SMEs
- On-Premises
- Cloud
- Government & Public Sector
- Manufacturing
- Healthcare & Life Science
- Energy & Utility
- Telecom
- Media & Entertainment
- Transportation & Logistic
- North America
- Europe
- Asia Pacific
- The Rest of the World
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies edge AI software companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the edge AI software companies profiled in this report include.
- Microsoft
- IBM
- AWS
- Nutanix
- Synaptics
- TIBCO
- Lucintel forecasts that solutions will remain the larger segment over the forecast period due to the growing business need for standalone and integration edge AI solutions and increasing usage of edge AI to automate entire business decisions that need human involvement.
- Within this market, video & image recognition, iris & facial data, sensor data, mobile data, and speech recognition are the major segments of edge AI software market by data source. Lucintel predict that mobile data will remain the fastest growing segment over the forecast period due to the increasing demand for computation in mobile applications to support customers' escalating use of computationally intensive mobile applications like virtual reality and real-time online gaming.
- North America will remain the largest region due to the increasing IoT (Internet of Things) developments fuelled by AI for intelligent systems and smart applications, increasing use of edge AI computing in the forthcoming 5G network, and rising intelligent device launches & collaboration with other companies in the region's edge AI software market.
- Market Size Estimates: Edge AI software market size estimation in terms of value ($B)
- Trend and Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
- Segmentation Analysis: Edge AI software market size by various segments, such as by component, data source, organization size, deployment mode, end use industry, and region.
- Regional Analysis: Edge AI software market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
- Growth Opportunities: Analysis on growth opportunities in different by component, data source, organization size, deployment mode, end use industry, and regions for the edge AI software market.
- Strategic Analysis: This includes M&A, new product development, and competitive landscape for the edge AI software market.
- Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
Q1. What is the edge AI software market size?
Answer: The global edge AI software market is expected to reach an estimated $xx billion by 2028.
Q2. What is the growth forecast for edge AI software market?
Answer: The global edge AI software market is expected to grow with a CAGR of 28% to 30% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the edge AI software market?
Answer: The major drivers for this market are increasing enterprise workload on cloud and rapid growth in number of intelligent applications.
Q4. What are the major segments for edge AI software market?
Answer: The future of the edge AI software market looks promising with opportunities in the government & public sector, manufacturing, healthcare & life science, energy & utility, telecom, media & entertainment, and transportation & logistic sectors.
Q5. Who are the key edge AI software companies?
Answer: Some of the key edge AI software companies are as follows:
- Microsoft
- IBM
- AWS
- Nutanix
- Synaptics
- TIBCO
Answer: . Lucintel forecasts that solutions will remain the larger segment over the forecast period due to the growing business need for standalone and integration edge AI solutions and increasing usage of edge AI to automate entire business decisions that need human involvement.
Q7. In edge AI software market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to the increasing IoT (Internet of Things) developments fuelled by AI for intelligent systems and smart applications, increasing use of edge AI computing in the forthcoming 5G network, and rising intelligent device launches & collaboration with other companies in the region's edge AI software market.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.
This report answers following 11 key questions
Q.1. What are some of the most promising, high-growth opportunities for the edge AI software market by component (solutions and services), data source (video & image recognition, iris & facial data, sensor data, mobile data, and speech recognition), organization size (large enterprises and SMEs), deployment mode (on-premise and cloud), end use industry (government & public sector, manufacturing, healthcare & life science, energy & utility, telecom, media & entertainment, and transportation & logistic), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to edge AI software market or related to edge AI software companies, edge AI software market size, edge AI software market share, edge AI software analysis
1. EXECUTIVE SUMMARY
2. GLOBAL EDGE AI SOFTWARE MARKET: MARKET DYNAMICS
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. MARKET TRENDS AND FORECAST ANALYSIS FROM 2017 TO 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Global Edge AI Software Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Global Edge AI Software Market by Component
3.3.1: Solutions
3.3.2: Services
3.4: Global Edge AI Software Market by Data Source
3.4.1: Video & Image Recognition
3.4.2: Iris & Facial Data
3.4.3: Sensor Data
3.4.4: Mobile Data
3.4.5: Speech Recognition
3.5: Global Edge AI Software Market by Organization Size
3.5.1: Large Enterprises
3.5.2: SMEs
3.6: Global Edge AI Software Market by Deployment Mode
3.6.1: On-Premise
3.6.2: Cloud
3.7: Global Edge AI Software Market by End Use Industry
3.7.1: Government & Public Sector
3.7.2: Manufacturing
3.7.3: Healthcare & Life Science
3.7.4: Energy & Utility
3.7.5: Telecom
3.7.6: Media & Entertainment
3.7.7: Transportation & Logistic
4. MARKET TRENDS AND FORECAST ANALYSIS BY REGION FROM 2017-2028
4.1: Global Edge AI Software Market by Region
4.2: North American Edge AI Software Market
4.2.1: North American Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.2.2: North American Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
4.3: European Edge AI Software Market
4.3.1: European Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.3.2: European Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
4.4: APAC Edge AI Software Market
4.4.1: APAC Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.4.2: APAC Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
4.5: ROW Edge AI Software Market
4.5.1: ROW Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.5.2: ROW Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
5. COMPETITOR ANALYSIS
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. GROWTH OPPORTUNITIES AND STRATEGIC ANALYSIS
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Edge AI Software Market by Component
6.1.2: Growth Opportunities for the Global Edge AI Software Market by Data Source
6.1.3: Growth Opportunities for the Global Edge AI Software Market by Organization Size
6.1.4: Growth Opportunities for the Global Edge AI Software Market by Deployment Mode
6.1.5: Growth Opportunities for the Global Edge AI Software Market by End Use Industry
6.1.6: Growth Opportunities for the Global Edge AI Software Market by Region
6.2: Emerging Trends in the Global Edge AI Software Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Edge AI Software Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Edge AI Software Market
7. COMPANY PROFILES OF LEADING PLAYERS
7.1: Microsoft
7.2: IBM
7.3: Google
7.4: AWS
7:5: NUTANIX
7.6: Synaptics
7.7: TIBCO
2. GLOBAL EDGE AI SOFTWARE MARKET: MARKET DYNAMICS
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. MARKET TRENDS AND FORECAST ANALYSIS FROM 2017 TO 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Global Edge AI Software Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Global Edge AI Software Market by Component
3.3.1: Solutions
3.3.2: Services
3.4: Global Edge AI Software Market by Data Source
3.4.1: Video & Image Recognition
3.4.2: Iris & Facial Data
3.4.3: Sensor Data
3.4.4: Mobile Data
3.4.5: Speech Recognition
3.5: Global Edge AI Software Market by Organization Size
3.5.1: Large Enterprises
3.5.2: SMEs
3.6: Global Edge AI Software Market by Deployment Mode
3.6.1: On-Premise
3.6.2: Cloud
3.7: Global Edge AI Software Market by End Use Industry
3.7.1: Government & Public Sector
3.7.2: Manufacturing
3.7.3: Healthcare & Life Science
3.7.4: Energy & Utility
3.7.5: Telecom
3.7.6: Media & Entertainment
3.7.7: Transportation & Logistic
4. MARKET TRENDS AND FORECAST ANALYSIS BY REGION FROM 2017-2028
4.1: Global Edge AI Software Market by Region
4.2: North American Edge AI Software Market
4.2.1: North American Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.2.2: North American Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
4.3: European Edge AI Software Market
4.3.1: European Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.3.2: European Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
4.4: APAC Edge AI Software Market
4.4.1: APAC Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.4.2: APAC Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
4.5: ROW Edge AI Software Market
4.5.1: ROW Edge AI Software Market by Data Source: Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data, and Speech Recognition
4.5.2: ROW Edge AI Software Market by End Use Industry: Government & Public Sector, Manufacturing, Healthcare & Life Science, Energy & Utility, Telecom, Media & Entertainment, and Transportation & Logistic
5. COMPETITOR ANALYSIS
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. GROWTH OPPORTUNITIES AND STRATEGIC ANALYSIS
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Edge AI Software Market by Component
6.1.2: Growth Opportunities for the Global Edge AI Software Market by Data Source
6.1.3: Growth Opportunities for the Global Edge AI Software Market by Organization Size
6.1.4: Growth Opportunities for the Global Edge AI Software Market by Deployment Mode
6.1.5: Growth Opportunities for the Global Edge AI Software Market by End Use Industry
6.1.6: Growth Opportunities for the Global Edge AI Software Market by Region
6.2: Emerging Trends in the Global Edge AI Software Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Edge AI Software Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Edge AI Software Market
7. COMPANY PROFILES OF LEADING PLAYERS
7.1: Microsoft
7.2: IBM
7.3: Google
7.4: AWS
7:5: NUTANIX
7.6: Synaptics
7.7: TIBCO
