Product Code: TC 6908
The Edge AI software market is projected to grow from USD 1.92 billion in 2024 to USD 7.19 billion by 2030, at a compound annual growth rate (CAGR) of 24.7% during the forecast period. The market is anticipated to grow due to Predictive maintenance powered by Edge AI is transforming industrial operations by enabling real-time monitoring and forecasting of equipment failures before they happen, Edge AI is enabling highly personalized experiences for consumers by processing data locally on devices like smartphones, wearables, and smart home systems and Smart grids and energy management systems are benefiting greatly from Edge AI's ability to provide distributed intelligence. However, growth may be restrained by the complexity of deploying and managing machine learning models at the edge, the absence of standard protocols and interoperability between different Edge AI platforms, devices, and ecosystems can slow down adoption and the high initial investment required to build and scale Edge AI infrastructure can be prohibitive for some organizations.
Scope of the Report |
Years Considered for the Study | 2019-2030 |
Base Year | 2023 |
Forecast Period | 2024-2030 |
Units Considered | USD (Billion) |
Segments | By Offering, By Data Modality, By Technology, By End Uses. |
Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
"Edge AI Platform Solutions Leading the Market with Highest CAGR Growth"
Platform solutions are expected to register the highest CAGR growth in the Edge AI software market due to their ability to integrate diverse AI capabilities, streamline deployment, and support scalable applications across industries. These platforms enable seamless development, testing, and deployment of AI models on edge devices, reducing complexity and accelerating time-to-market. Future opportunities lie in leveraging these solutions for autonomous systems, advanced robotics, and distributed IoT ecosystems, where customizable platforms can address specific requirements for real-time analytics, data security, and interoperability, driving adoption across sectors like healthcare, automotive, and industrial automation.
"Predictive Maintenance and Robotics Automation Transforming Manufacturing with Edge AI"
During the forecast period, the manufacturing sector is anticipated to dominate the Edge AI software market, driven by its adoption for real-time quality control, predictive maintenance, and robotics automation. Edge AI enables manufacturers to process vast amounts of machine data locally, reducing latency and enhancing operational efficiency. Future opportunities include leveraging Edge AI for smart factory solutions, optimizing energy consumption, and enabling autonomous production lines. As manufacturers prioritize Industry 4.0 initiatives and demand localized intelligence for critical operations, the deployment of Edge AI software in this sector will continue to expand rapidly.
"Asia Pacific's rapid edge AI software market growth fueled by innovation and emerging technologies, while North America leads in market size"
Asia Pacific is projected to be the fastest-growing market for Edge AI software during the forecast period, driven by rapid industrialization, increasing adoption of IoT devices, and significant investments in smart city initiatives. The region's growing demand for localized data processing in sectors like manufacturing, retail, and telecommunications further boosts this trend. Meanwhile, North America holds the largest market share due to its early adoption of advanced technologies, strong presence of key players, and robust infrastructure supporting AI deployment. Future opportunities include expanding Edge AI applications in Asia Pacific's emerging markets for autonomous systems and real-time analytics, while North America continues to innovate in areas like healthcare and defense with cutting-edge edge computing solutions.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Edge AI software market.
- By Company: Tier I - 30%, Tier II - 40%, and Tier III - 30%
- By Designation: C-Level Executives - 35%, D-Level Executives - 25%, and others - 40%
- By Region: North America - 30%, Europe - 35%, Asia Pacific - 25%, Middle East & Africa - 5%, and Latin America - 5%
The report includes the study of key players offering edge AI software market. It profiles major vendors in the Edge AI software market. The major players in the Edge AI software market include Microsoft (US), IBM (US), Google (US), AWS (US), Nutanix (US), Synaptics (US), Gorilla Technologies (UK), Intel (US), VEEA (US), Infineon Technologies (German), Intent HQ (UK), Baidu (China), NVIDIA (US), Alibaba Group (Singapore), Bosch Global Software Technologies (India), Azion (US), Blaize (US), ClearBlade (US), Johnson Controls (US), Midokura (Japan), Latent AI (US), Axelera AI (Netherlands), Teraki (Germany), Ekkono (Sweden), Edge Impulse (US), Spectro Cloud (US), Barbara (Spain), Invision AI (US), Horizon Robotics (China), and Kneron (US).
Research coverage
This research report categorizes the Edge AI software Market By offering (Software [By Type and By Deployment mode] and Services [Professional services and Managed services]), By data Modality (Visual data, Auditory data, Textual data, Spatial data, Temporal data and Multi-modal data), By Technology (Generative AI and Other AI [Machine learning, Natural language processing, Computer vision and Others]), By End Uses (Manufacturing, Smart cities, BFSI, Healthcare & life sciences, Energy & utilities, Telecommunication, Retail, Automotive, Transportation & logistics, Consumer electronics & devices and Other end uses [IT & ITeS, Education and Agriculture]), and By Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the Edge AI software market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the Edge AI software market. Competitive analysis of upcoming startups in the Edge AI software market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall Edge AI software market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (increasing number of intelligent applications, rising use of IoT applications, increasing adoption of 5G network technology, exponential growth of data volume and network traffic), restraints (Bandwidth limitations resulting from the need for continuous data transfer and limited availability of AI experts), opportunities (growing deployment of TinyML, rising demand of autonomous and connected vehicles, emergence of transformative applications in various fields), and challenges (Need for optimization of edge AI standards, complexity of integrating diverse systems and lack of hardware standards).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Edge AI software market.
- Market Development: Comprehensive information about lucrative markets - the report analyses the Edge AI software market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the Edge AI software market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), Google (US), AWS (US), Nutanix (US), Synaptics (US), Gorilla Technologies (UK), Intel (US), VEEA (US), Infineon Technologies (Germany), Intent HQ (UK), Baidu (China), NVIDIA (US), Alibaba Group (Singapore), Bosch Global Software Technologies (India), Azion (US), Blaize (US), ClearBlade (US), Johnson Controls (US), Midokura (Japan), Latent AI (US), Axelera AI (Netherlands), Teraki (Germany), Ekkono (Sweden), Edge Impulse (US), Spectro Cloud (US), Barbara (Spain), Invision AI (US), Horizon Robotics (China), and Kneron (US), among others in the Edge AI software market. The report also helps stakeholders understand the pulse of the Edge AI software market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.2.1 INCLUSIONS AND EXCLUSIONS
- 1.3 STUDY SCOPE
- 1.3.1 MARKETS COVERED
- 1.3.2 YEARS CONSIDERED
- 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 RESEARCH ASSUMPTIONS
- 2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN EDGE AI SOFTWARE MARKET
- 4.2 EDGE AI SOFTWARE MARKET, BY TOP THREE END USES
- 4.3 EDGE AI SOFTWARE MARKET IN NORTH AMERICA, BY TOP THREE DATA MODALITY TYPES AND END USES
- 4.4 EDGE AI SOFTWARE MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Increasing number of intelligent applications
- 5.2.1.2 Exponential growth of data volume and network traffic
- 5.2.1.3 Rising use of IoT applications
- 5.2.1.4 Increasing adoption of 5G network technology
- 5.2.2 RESTRAINTS
- 5.2.2.1 Bandwidth limitations resulting from need for continuous data transfer
- 5.2.2.2 Limited availability of AI experts
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Growing deployment of TinyML
- 5.2.3.2 Rising demand for autonomous and connected vehicles
- 5.2.3.3 Emergence of transformative applications in various fields
- 5.2.4 CHALLENGES
- 5.2.4.1 Need for optimization of edge AI standards
- 5.2.4.2 Complexity of integrating diverse systems
- 5.2.4.3 Lack of hardware standards
- 5.3 IMPACT OF GENERATIVE AI ON EDGE AI SOFTWARE MARKET
- 5.3.1 TOP USE CASES AND MARKET POTENTIAL
- 5.3.1.1 Key use cases
- 5.3.1.1.1 Real-time Data Processing and Analysis
- 5.3.1.1.2 Predictive Maintenance
- 5.3.1.1.3 Anomaly Detection
- 5.3.1.1.4 Personalized User Experience
- 5.3.1.1.5 Enhanced Security & Fraud Detection
- 5.3.1.1.6 Scalable AI Models
- 5.4 EDGE AI SOFTWARE MARKET: EVOLUTION
- 5.5 ECOSYSTEM ANALYSIS
- 5.5.1 PLATFORM PROVIDERS
- 5.5.2 SDK PROVIDERS
- 5.5.3 FRAMEWORK & TOOLKIT PROVIDERS
- 5.5.4 SERVICE PROVIDERS
- 5.5.5 TECHNOLOGY PARTNERS/INTEGRATORS
- 5.5.6 END USERS
- 5.6 SUPPLY CHAIN ANALYSIS
- 5.7 INVESTMENT AND FUNDING SCENARIO
- 5.8 CASE STUDY ANALYSIS
- 5.8.1 CASE STUDY 1: LEVERAGING EDGE AI AND GEOSPATIAL ANALYTICS FOR ENHANCED RESPONSE AND RECOVERY
- 5.8.2 CASE STUDY 2: FACILITATING PREDICTIVE MAINTENANCE AND COST SAVINGS FOR PRINT SHOP
- 5.8.3 CASE STUDY 3: TRANSFORMING POWER DISTRIBUTION BY LEVERAGING EDGE AI IN VIRTUALIZED SUBSTATIONS
- 5.8.4 CASE STUDY 4: REVOLUTIONIZING INDUSTRIAL MONITORING WITH EKKONO'S EDGE AI VIRTUAL SENSORS
- 5.8.5 CASE STUDY 5: TRANSFORMING WAREHOUSE EFFICIENCY WITH AUTONOMOUS AI-DRIVEN INVENTORY MONITORING SOLUTIONS
- 5.9 TECHNOLOGY ANALYSIS
- 5.9.1 KEY TECHNOLOGIES
- 5.9.1.1 Edge computing
- 5.9.1.2 Machine Learning (ML)
- 5.9.1.3 Computer vision
- 5.9.1.4 Natural Language Processing (NLP)
- 5.9.2 COMPLEMENTARY TECHNOLOGIES
- 5.9.2.1 Federated technologies
- 5.9.2.2 Cloud computing
- 5.9.2.3 Internet of Things (IoT)
- 5.9.3 ADJACENT TECHNOLOGIES
- 5.9.3.1 Big data analytics
- 5.9.3.2 Digital twins
- 5.9.3.3 Blockchain
- 5.10 REGULATORY LANDSCAPE
- 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.10.2 REGIONAL REGULATIONS
- 5.10.2.1 North America
- 5.10.2.1.1 SCR 17: Artificial Intelligence Bill - California, US
- 5.10.2.1.2 S1103: Artificial Intelligence Automated Decision Bill - Connecticut, US
- 5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
- 5.10.2.1.4 Artificial Intelligence and Data Act (AIDA) - Canada
- 5.10.2.2 Europe
- 5.10.2.2.1 Artificial Intelligence Act (AIA) - European Union
- 5.10.2.2.2 General Data Protection Regulation - European Union
- 5.10.2.3 Asia Pacific
- 5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services - China
- 5.10.2.3.2 National AI Strategy - Singapore
- 5.10.2.3.3 Hiroshima AI Process Comprehensive Policy Framework - Japan
- 5.10.2.4 Middle East & Africa
- 5.10.2.4.1 National Strategy for Artificial Intelligence - UAE
- 5.10.2.4.2 National Artificial Intelligence Strategy - Qatar
- 5.10.2.4.3 AI Ethics Principles and Guidelines - Dubai, UAE
- 5.10.2.5 Latin America
- 5.10.2.5.1 Declaration of Santiago - Chile
- 5.10.2.5.2 Brazilian Artificial Intelligence Strategy - Brazil
- 5.11 PATENT ANALYSIS
- 5.11.1 METHODOLOGY
- 5.11.2 PATENTS FILED, BY DOCUMENT TYPE
- 5.11.3 INNOVATION AND PATENT APPLICATIONS
- 5.12 PRICING ANALYSIS
- 5.12.1 INDICATIVE PRICING ANALYSIS OF EDGE AI SOFTWARE, BY DATA MODALITY
- 5.12.2 INDICATIVE PRICING ANALYSIS OF EDGE AI SOFTWARE, BY OFFERING
- 5.13 KEY CONFERENCES AND EVENTS, 2024-2025
- 5.14 PORTER'S FIVE FORCES ANALYSIS
- 5.14.1 THREAT OF NEW ENTRANTS
- 5.14.2 THREAT OF SUBSTITUTES
- 5.14.3 BARGAINING POWER OF SUPPLIERS
- 5.14.4 BARGAINING POWER OF BUYERS
- 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.15.1 KEY TRENDS/DISRUPTIONS IMPACTING BUSINESS MODELS
- 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
- 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.16.2 BUYING CRITERIA
6 EDGE AI SOFTWARE MARKET, BY OFFERING
- 6.1 INTRODUCTION
- 6.1.1 DRIVERS: EDGE AI SOFTWARE MARKET, BY OFFERING
- 6.2 SOFTWARE
- 6.2.1 RISING DEMAND ACROSS DIVERSE INDUSTRIES TO BOOST MARKET
- 6.2.2 BY TYPE
- 6.2.2.1 Platforms
- 6.2.2.2 Software development kits (SDKs)
- 6.2.2.3 Frameworks & toolkits
- 6.2.3 BY DEPLOYMENT MODE
- 6.2.3.1 Cloud
- 6.2.3.2 On-premises
- 6.3 SERVICES
- 6.3.1 RISING DEMAND FOR IMPLEMENTATION AND MAINTENANCE SUPPORT TO DRIVE MARKET
- 6.3.2 PROFESSIONAL SERVICES
- 6.3.2.1 Training & consulting
- 6.3.2.2 System integration & testing
- 6.3.2.3 Support & maintenance
- 6.3.3 MANAGED SERVICES
7 EDGE AI SOFTWARE MARKET, BY DATA MODALITY
- 7.1 INTRODUCTION
- 7.1.1 DRIVERS: EDGE AI SOFTWARE MARKET, BY DATA MODALITY
- 7.2 VISUAL DATA
- 7.2.1 NEED FOR QUICK DECISION-MAKING TO DRIVE DEMAND
- 7.2.2 IMAGE DATA
- 7.2.3 VIDEO DATA
- 7.3 AUDITORY DATA
- 7.3.1 INCREASING REQUIREMENT FOR SPEEDY RECOGNITION OF AUDITORY SIGNALS TO BOOST MARKET
- 7.3.2 AUDIO DATA
- 7.3.3 AUDIO SENSOR DATA
- 7.4 TEXTUAL DATA
- 7.4.1 NEED FOR QUICK RESPONSE TO TEXT DATA TO DRIVE MARKET
- 7.4.2 STRUCTURED TEXT DATA
- 7.4.3 UNSTRUCTURED TEXT DATA
- 7.4.4 SEMI-STRUCTURED TEXT DATA
- 7.5 SPATIAL DATA
- 7.5.1 GROWING ADOPTION OF LOCATION-BASED APPLICATIONS TO PROPEL MARKET
- 7.5.2 GEOSPATIAL DATA
- 7.5.3 LOCATION SENSON DATA
- 7.6 TEMPORAL DATA
- 7.6.1 RISING REQUIREMENT FOR PREDICTIVE MAINTENANCE TO BOOST MARKET
- 7.6.2 TIME-SERIES DATA
- 7.6.3 ENVIRONMENTAL SENSOR DATA
- 7.7 MULTIMODAL DATA
- 7.7.1 INCREASING NEED TO COMBINE INFORMATION FROM VARIOUS SOURCES TO DRIVE DEMAND
- 7.7.2 MULTIMODAL FUSION
- 7.7.3 CROSS-MODAL FUSION
8 EDGE AI SOFTWARE MARKET, BY TECHNOLOGY
- 8.1 INTRODUCTION
- 8.1.1 DRIVERS: EDGE AI SOFTWARE MARKET, BY TECHNOLOGY
- 8.2 GENERATIVE AI
- 8.2.1 INCREASING NEED FOR CONTENT CREATION AT LOCAL LEVEL TO DRIVE MARKET
- 8.3 OTHER AI
- 8.3.1 ABILITY TO FACILITATE QUICK DECISION-MAKING TO DRIVE DEMAND
- 8.3.2 MACHINE LEARNING
- 8.3.2.1 Supervised learning
- 8.3.2.2 Unsupervised learning
- 8.3.2.3 Reinforcement learning
- 8.3.3 NATURAL LANGUAGE PROCESSING
- 8.3.4 COMPUTER VISION
- 8.3.5 OTHER TECHNOLOGIES
9 EDGE AI SOFTWARE MARKET, BY END USE
- 9.1 INTRODUCTION
- 9.1.1 DRIVERS: EDGE AI SOFTWARE MARKET, BY END USE
- 9.2 MANUFACTURING
- 9.2.1 ABILITY TO ENHANCE OVERALL PRODUCTIVITY TO DRIVE MARKET
- 9.2.2 INDUSTRIAL AUTOMATION
- 9.2.3 PREDICTIVE MAINTENANCE
- 9.2.4 QUALITY CONTROL
- 9.2.5 YIELD OPTIMIZATION
- 9.2.6 CONDITION & PRECISION MONITORING
- 9.3 HEALTHCARE & LIFE SCIENCES
- 9.3.1 NEED FOR QUICK DATA ANALYSIS TO BOOST DEMAND
- 9.3.2 REMOTE PATIENT MONITORING
- 9.3.3 MEDICAL IMAGING
- 9.3.4 HOSPITAL MANAGEMENT SYSTEMS
- 9.3.5 REAL-TIME HEALTH DATA ANALYTICS
- 9.3.6 PERSONALIZED MEDICINE
- 9.4 ENERGY & UTILITIES
- 9.4.1 GROWING ADOPTION TO IMPROVE OPERATIONAL EFFICIENCY TO FUEL MARKET
- 9.4.2 SMART GRIDS
- 9.4.3 RENEWABLE ENERGY MANAGEMENT
- 9.4.4 ASSET MONITORING & OPTIMIZATION
- 9.4.5 ENERGY DISTRIBUTION AUTOMATION
- 9.4.6 PREDICTIVE ENERGY DEMAND FORECASTING
- 9.5 TELECOMMUNICATION
- 9.5.1 NEED TO OPTIMIZE NETWORK PERFORMANCE TO DRIVE DEMAND
- 9.5.2 5G INFRASTRUCTURE
- 9.5.3 REAL-TIME NETWORK MONITORING
- 9.5.4 SUBSCRIBER DATA ANALYTICS
- 9.5.5 AUTOMATED CALL ROUTING
- 9.6 RETAIL
- 9.6.1 INCREASING DEMAND FOR PERSONALIZED SHOPPING EXPERIENCES TO DRIVE MARKET
- 9.6.2 IN-STORE ANALYTICS
- 9.6.3 SMART CHECKOUTS
- 9.6.4 CUSTOMER BEHAVIOR ANALYSIS
- 9.6.5 INVENTORY MANAGEMENT
- 9.6.6 PERSONALIZED PROMOTIONS & OFFERS
- 9.7 AUTOMOTIVE
- 9.7.1 INCREASING DEMAND FOR CONNECTED VEHICLES TO DRIVE MARKET
- 9.7.2 AUTONOMOUS AND SEMI-AUTONOMOUS VEHICLES
- 9.7.3 ADVANCED DRIVER-ASSISTANCE SYSTEMS (ADAS)
- 9.7.4 DRIVER MONITORING SYSTEMS
- 9.7.5 IN-VEHICLE INFOTAINMENT SYSTEMS
- 9.8 TRANSPORTATION & LOGISTICS
- 9.8.1 ABILITY TO STREAMLINE OPERATIONS TO FUEL DEMAND
- 9.8.2 FLEET MANAGEMENT
- 9.8.3 ROUTE OPTIMIZATION
- 9.8.4 LOGISTICS AUTOMATION
- 9.8.5 TRAFFIC PATTERN ANALYSIS
- 9.8.6 SUPPLY CHAIN OPTIMIZATION
- 9.9 SMART CITIES
- 9.9.1 GROWING PRESSURE ON INFRASTRUCTURE AND PUBLIC SERVICES TO DRIVE DEMAND
- 9.9.2 TRAFFIC MANAGEMENT
- 9.9.3 WASTE MANAGEMENT
- 9.9.4 ENVIRONMENTAL MONITORING
- 9.9.5 SURVEILLANCE & SECURITY
- 9.9.6 EMERGENCY RESPONSE SYSTEMS
- 9.10 BFSI
- 9.10.1 RISING REQUIREMENT FOR FRAUD DETECTION AND PREVENTION TO PROPEL MARKET
- 9.10.2 FRAUD DETECTION & PREVENTION
- 9.10.3 AUTOMATED TRADING SYSTEMS
- 9.10.4 CUSTOMER SENTIMENT ANALYSIS
- 9.10.5 COMPLIANCE & REGULATORY REPORTING
- 9.11 CONSUMER ELECTRONICS & DEVICES
- 9.11.1 INCREASING DEMAND FOR FASTER RESPONSE TIMES TO FUEL MARKET
- 9.11.2 SMARTPHONES & TABLETS
- 9.11.3 WEARABLE DEVICES
- 9.11.4 SMART CAMERAS & SECURITY DEVICES
- 9.11.5 AUGMENTED & VIRTUAL REALITY (AR/VR) HEADSETS
- 9.11.6 CONSUMER DRONES
- 9.11.7 HOME APPLIANCES
- 9.11.8 OTHER DEVICES
- 9.12 OTHER END USES
10 EDGE AI SOFTWARE MARKET, BY REGION
- 10.1 INTRODUCTION
- 10.2 NORTH AMERICA
- 10.2.1 DRIVERS: EDGE AI SOFTWARE MARKET IN NORTH AMERICA
- 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
- 10.2.3 US
- 10.2.3.1 Increasing government initiatives to propel market
- 10.2.4 CANADA
- 10.2.4.1 Collaborative efforts by government and private sector to drive market
- 10.3 EUROPE
- 10.3.1 DRIVERS: EDGE AI SOFTWARE MARKET IN EUROPE
- 10.3.2 EUROPE: MACROECONOMIC OUTLOOK
- 10.3.3 UK
- 10.3.3.1 Government support for research and development to fuel market
- 10.3.4 FRANCE
- 10.3.4.1 Increasing focus on real-time data processing to drive demand
- 10.3.5 GERMANY
- 10.3.5.1 Introduction of innovation hubs and collaborative platforms to boost market
- 10.3.6 ITALY
- 10.3.6.1 Rising focus on research activities to drive market
- 10.3.7 SPAIN
- 10.3.7.1 Government initiatives and private sector investments to drive market
- 10.3.8 REST OF EUROPE
- 10.4 ASIA PACIFIC
- 10.4.1 DRIVERS: EDGE AI SOFTWARE MARKET IN ASIA PACIFIC
- 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
- 10.4.3 CHINA
- 10.4.3.1 Government support for AI-related research to drive market
- 10.4.4 JAPAN
- 10.4.4.1 Focus on infrastructure enhancement to boost demand
- 10.4.5 INDIA
- 10.4.5.1 Government focus on innovation to drive market
- 10.4.6 AUSTRALIA & NEW ZEALAND
- 10.4.6.1 Partnerships to leverage edge computing capabilities to boost demand
- 10.4.7 ASEAN COUNTRIES
- 10.4.7.1 Increasing government focus on responsible AI adoption to fuel market
- 10.4.8 REST OF ASIA PACIFIC
- 10.5 MIDDLE EAST & AFRICA
- 10.5.1 DRIVERS: EDGE AI SOFTWARE MARKET IN MIDDLE EAST & AFRICA
- 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
- 10.5.3 MIDDLE EAST
- 10.5.3.1 Saudi Arabia
- 10.5.3.1.1 Growing demand for real-time data processing to fuel market
- 10.5.3.2 UAE
- 10.5.3.2.1 Focus on digital transformation to drive demand
- 10.5.3.3 Turkey
- 10.5.3.3.1 Industry-academic research partnerships to boost market
- 10.5.3.4 Qatar
- 10.5.3.4.1 Increasing adoption of IoT devices to drive demand
- 10.5.3.5 Rest of Middle East
- 10.5.4 AFRICA
- 10.6 LATIN AMERICA
- 10.6.1 DRIVERS: EDGE AI SOFTWARE MARKET IN LATIN AMERICA
- 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
- 10.6.3 BRAZIL
- 10.6.3.1 Rising adoption of edge computing across sectors to drive market
- 10.6.4 MEXICO
- 10.6.4.1 Government support for digital transformation to fuel market
- 10.6.5 ARGENTINA
- 10.6.5.1 Increasing investment in digital infrastructure to drive demand
- 10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
- 11.1 OVERVIEW
- 11.2 KEY PLAYERS STRATEGIES/RIGHT TO WIN, 2023-2024
- 11.3 REVENUE ANALYSIS
- 11.4 MARKET SHARE ANALYSIS, 2023
- 11.4.1 MARKET RANKING ANALYSIS
- 11.5 BRAND/PRODUCT COMPARISON
- 11.5.1 BRAND/PRODUCT COMPARISON, BY OFFERING
- 11.5.2 BRAND/PRODUCT COMPARISON, BY DATA MODALITY
- 11.6 COMPANY VALUATION AND FINANCIAL METRICS
- 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
- 11.7.1 STARS
- 11.7.2 EMERGING LEADERS
- 11.7.3 PERVASIVE PLAYERS
- 11.7.4 PARTICIPANTS
- 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
- 11.7.5.1 Company footprint
- 11.7.5.2 Region footprint
- 11.7.5.3 Offering footprint
- 11.7.5.4 Technology footprint
- 11.7.5.5 End use footprint
- 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
- 11.8.1 PROGRESSIVE COMPANIES
- 11.8.2 RESPONSIVE COMPANIES
- 11.8.3 DYNAMIC COMPANIES
- 11.8.4 STARTING BLOCKS
- 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
- 11.8.5.1 Detailed list of key startups/SMEs
- 11.8.5.2 Competitive benchmarking of key startups/SMEs
- 11.9 COMPETITIVE SCENARIO AND TRENDS
- 11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
- 11.9.2 DEALS
12 COMPANY PROFILES
- 12.1 INTRODUCTION
- 12.1.1 MICROSOFT
- 12.1.1.1 Business overview
- 12.1.1.2 Products offered
- 12.1.1.3 Recent developments
- 12.1.1.3.1 Product launches and enhancements
- 12.1.1.3.2 Deals
- 12.1.1.4 MnM view
- 12.1.1.4.1 Right to win
- 12.1.1.4.2 Strategic choices
- 12.1.1.4.3 Weaknesses and competitive threats
- 12.1.2 IBM
- 12.1.2.1 Business overview
- 12.1.2.2 Products offered
- 12.1.2.3 Recent developments
- 12.1.2.3.1 Product launches and enhancements
- 12.1.2.3.2 Deals
- 12.1.2.4 MnM view
- 12.1.2.4.1 Right to win
- 12.1.2.4.2 Strategic choices
- 12.1.2.4.3 Weaknesses and competitive threats
- 12.1.3 GOOGLE
- 12.1.3.1 Business overview
- 12.1.3.2 Products offered
- 12.1.3.3 Recent developments
- 12.1.3.3.1 Product launches and enhancements
- 12.1.3.3.2 Deals
- 12.1.3.4 MnM view
- 12.1.3.4.1 Right to win
- 12.1.3.4.2 Strategic choices
- 12.1.3.4.3 Weaknesses and competitive threats
- 12.1.4 AWS
- 12.1.4.1 Business overview
- 12.1.4.2 Products offered
- 12.1.4.3 Recent developments
- 12.1.4.3.1 Product launches and enhancements
- 12.1.4.3.2 Deals
- 12.1.4.4 MnM view
- 12.1.4.4.1 Right to win
- 12.1.4.4.2 Strategic choices
- 12.1.4.4.3 Weaknesses and competitive threats
- 12.1.5 NUTANIX
- 12.1.5.1 Business overview
- 12.1.5.2 Products offered
- 12.1.5.3 Recent developments
- 12.1.5.3.1 Product launches and enhancements
- 12.1.5.3.2 Deals
- 12.1.5.4 MnM view
- 12.1.5.4.1 Right to win
- 12.1.5.4.2 Strategic choices
- 12.1.5.4.3 Weaknesses and competitive threats
- 12.1.6 SYNAPTICS
- 12.1.6.1 Business overview
- 12.1.6.2 Products offered
- 12.1.6.3 Recent developments
- 12.1.6.3.1 Product launches and enhancements
- 12.1.6.3.2 Deals
- 12.1.7 GORILLA TECHNOLOGIES
- 12.1.7.1 Business overview
- 12.1.7.2 Products offered
- 12.1.7.3 Recent developments
- 12.1.8 INFINEON TECHNOLOGIES
- 12.1.8.1 Business overview
- 12.1.8.2 Products offered
- 12.1.8.3 Recent developments
- 12.1.8.3.1 Product launches and enhancements
- 12.1.8.3.2 Deals
- 12.1.9 INTEL
- 12.1.9.1 Business overview
- 12.1.9.2 Products offered
- 12.1.9.3 Recent developments
- 12.1.9.3.1 Product launches and enhancements
- 12.1.9.3.2 Deals
- 12.1.10 VEEA
- 12.1.10.1 Business overview
- 12.1.10.2 Products offered
- 12.1.10.3 Recent developments
- 12.2 OTHER PLAYERS
- 12.2.1 INTENT HQ
- 12.2.2 BAIDU
- 12.2.3 NVIDIA
- 12.2.4 ALIBABA CLOUD
- 12.2.5 BOSCH GLOBAL SOFTWARE TECHNOLOGIES
- 12.2.6 AZION
- 12.2.7 BLAIZE
- 12.2.8 CLEARBLADE
- 12.2.9 JOHNSON CONTROLS
- 12.2.10 MIDOKURA
- 12.3 STARTUP/SME PROFILES
- 12.3.1 AXELERA AI
- 12.3.1.1 Business overview
- 12.3.1.2 Products offered
- 12.3.1.3 Recent developments
- 12.3.2 EDGE IMPULSE
- 12.3.2.1 Business overview
- 12.3.2.2 Products offered
- 12.3.2.3 Recent developments
- 12.3.3 LATENT AI
- 12.3.4 TERAKI
- 12.3.5 EKKONO
- 12.3.6 SPECTRO CLOUD
- 12.3.7 BARBARA
- 12.3.8 INVISION AI
- 12.3.9 HORIZON ROBOTICS
- 12.3.10 KNERON
13 ADJACENT AND RELATED MARKETS
- 13.1 INTRODUCTION
- 13.2 EDGE COMPUTING MARKET - GLOBAL FORECAST TO 2029
- 13.2.1 MARKET DEFINITION
- 13.2.2 MARKET OVERVIEW
- 13.2.2.1 Edge computing market, by component
- 13.2.2.2 Edge computing market, by organization size
- 13.2.2.3 Edge computing market, by application
- 13.2.2.4 Edge computing market, by vertical
- 13.2.2.5 Edge computing market, by region
- 13.3 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2030
- 13.3.1 MARKET DEFINITION
- 13.3.2 MARKET OVERVIEW
- 13.3.2.1 Artificial intelligence market, by offering
- 13.3.2.2 Artificial intelligence market, by technology
- 13.3.2.3 Artificial intelligence market, by business function
- 13.3.2.4 Artificial intelligence market, by vertical
- 13.3.2.5 Artificial intelligence market, by region
14 APPENDIX
- 14.1 DISCUSSION GUIDE
- 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 14.3 CUSTOMIZATION OPTIONS
- 14.4 RELATED REPORTS
- 14.5 AUTHOR DETAILS