Edge AI Software Market

Report Code TC 6908
Published in Dec, 2024, By MarketsandMarkets™
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Edge AI Software Market by Technology (Generative AI, Machine Learning (ML) (Supervised Learning, Reinforcement Learning), Natural Language Processing (NLP), Computer Vision), Data Modality (Spatial Data, Temporal Data) - Global Forecast to 2030

 

Overview

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 CAGR of 24.7% during the forecast period.

Edge AI software integrates artificial intelligence capabilities closer to the edge of the network to process and analyze data locally at the source instead of relying on central cloud computing. With a rapidly increasing volume of data generated by connected devices, bypassing central processing is imperative to avoid latency, bandwidth stress, and compromise over data privacy. In December 2023, IBM estimated that 15 billion edge devices were used worldwide. The increase of connected devices requires the use of edge AI software for the task of processing data locally, free bandwidth restrictions, and enabling speedy responses. Edge AI software has revolutionized critical industries, allowing firms to make decisions much faster and less dependent on the cloud. The healthcare sector benefits from real-time monitoring and diagnostics of patients, while the manufacturing sector experiences better predictive maintenance and reduced downtime. For energy and transportation industries, edge AI provides increased operational efficiency and safety based on processing data locally and facilitates fast and timelier responses to changing conditions.

Edge AI Software Market

Impact of AI on Edge AI Software Market

Generative AI significantly impacts the edge AI software market, making devices intelligent in generating and processing data. Generative AI bolsters the edge devices' capability to perform complex tasks independently without relying on cloud systems by using models that generate content, predict outcomes, or simulate scenarios. This opens up more complex real-time applications, such as data processing and analysis, predictive maintenance, anomaly detection, or personalized user experience. Since it can create new insights or responses locally, generative AI reduces the latency and bandwidth requirements around an edge AI solution, making it even more efficient. Further, generative AI helps optimize models and algorithms directly on the device, so their performance continues to improve with adaptation without needing periodic updates over the cloud, further bolstering privacy, security, and operational efficiency.

Edge AI Software Market Impact

Attractive Opportunities in the Edge AI Software Market

ASIA PACIFIC

Emerging economies in the Asia Pacific regions to provide numerous opportunities across industry verticals

Ever-increasing enterprise workloads on the cloud, and rapid growth in the number of intelligent applications To reduce overall operational costs to drive the growth in the edge AI software market.

Acquisitions and mergers would offer lucrative opportunities to the market players in the next five years.

Emergence of the 5G network to bring IT and telecom together and rising need of edge computing in IoT to offer opportunities for the growth of the edge AI software market.

North America is expected to hold the largest market share during the forecast period. The region is a leader in technological advancements and is home to major edge AI software vendors.

Global Edge AI Software Market Dynamics

Driver: Advancements in 5G driving edge AI deployment

Through the amalgamation of artificial intelligence and edge computing, edge AI will pave the way for the future of efficient service delivery via the collection and analysis of real-time data for business decision-making. The success rate of edge AI will hinge on the foundation of real-time data computation at a network connection level. In this regard, 5G is expected to emerge as a strong technology enabler in terms of achieving ultra-low latency across edge devices such as drones, telesurgery devices, self-driving vehicles, IoT gateways, etc. The rollout and adoption of 5G will result in the proliferation of the next generation of edge devices that would transform the workload and productivity across different industries. The convergence of 5G and edge AI is expected to drive use cases around autonomous driving, smart metering, remote patient monitoring and robot-assisted surgery, smart farming, etc., with the list of use cases being endless, thus enabling smart devices to provide insights and predictive analysis in real-time for localized decision-making.

Restraint: Security concerns associated with deploying AI at the edge

Decentralized data processing and storage exposes devices to a range of risks that, at times are of a more severe nature than those encountered by centralized cloud-based systems/networks. Since AI computation run on edge devices are exposed to physical and cyber vulnerabilities, data security concerns become highly critical for end-users. One of the most common factors outlining these concerns includes physical access risks prevalent in a remote industrial setup, where data breaches can expose the entire network. Similarly, data privacy concerns also arise due to the nature of data handled by edge devices in mission-critical industrial sectors such as healthcare. Cybersecurity threats such as malware, ransomware, and DDoS attacks are more common in edge devices as these aren’t characterized by the same layers of security as centralized systems, making them easier to infiltrate.

 

Opportunity: TinyML to unlock edge AI potential

Within the edge AI software market, the deployment of TinyML technology is a paradigm shift in ML technologies with a focus on highly compact and energy-efficient solutions. TinyML processes machine learning models independently on the device level, which saves on the processing power of the cloud, thus improving efficiency and cutting back on latency. This feature is particularly useful in scenarios requiring real-time data processing and decision-making. TinyML is changing how devices respond to the environment and pushing new frontiers of device applications, including health, agriculture, and environmental surveillance. The use of TinyML improves privacy and security since sensitive information does not have to be moved to a cloud server for processing. Reduced movement of data to be processed eliminates the chances of data breaches and improves users' confidence in smart devices. For instance, smart wearable devices capable of monitoring and assessing vital signs do not have to relay personal data to the cloud as this information is processed instantly on the device.

The use of TinyML improves privacy and security since sensitive information does not have to be moved to a cloud server for processing. Reduced movement of data to be processed eliminates the chances of data breaches and improves users' confidence in smart devices. For instance, smart wearable devices capable of monitoring and assessing vital signs do not have to relay personal data to the cloud as this information is processed instantly on the device.

Challenge: Managing extensive volume and diversity of data

Managing the large volume and diverse data is a significant restraint in the edge AI software market. Edge devices generate vast amounts of data in real-time. This diverse data includes structured, unstructured and semi-structured data from various sources such as sensors, cameras, and industrial equipment. Storing, processing, and analyzing this data locally at the edge is challenging. Due to the limited computational power and storage capabilities of the edge devices it becomes difficult to handle data-intensive applications. Integration and management of this diverse data across the distributed edge nodes pose additional complexities. This limitation often leads to scalability issues, increased operational costs, and reduced efficiency in deploying edge AI solutions.

Global Edge AI Software Market Ecosystem Analysis

The ecosystem comprises platform providers, SDK providers, framework & toolkit providers, service providers, technology partners/integrators, and end users. This segmented ecosystem works collaboratively to drive the transition toward more efficient workflows and output generation, leveraging technology and data to achieve goals.

Top Companies in Edge AI Software

Note: The above diagram only shows the edge AI software market ecosystem; it is not limited to the companies represented above. Source: Secondary Research and MarketsandMarkets Analysis

 

By offering, the software segment will hold the largest market in 2024

The software segment encompasses platforms, SDKs, frameworks, and toolkits that enable developers and businesses to develop and deploy edge AI applications. Platforms offer a comprehensive environment for integrating AI models with edge devices, thus providing important features like data processing, model training, and real-time analytics at the edge. It allows these to be managed and orchestrated transparently across use cases as diverse as smart cities and industrial automation. SDKs and frameworks offer pre-built tools and libraries to help developers create, test, and optimize AI models for edge devices without requiring lots of depth in hardware engineering. Toolkits fill the gap between AI algorithms and edge hardware, empowering businesses quickly to use AI models in resource-constrained devices at the edge with good performance. With the increased adaptation of edge AI from end-use industries such as healthcare, manufacturing, and automotive to support real-time decision-making, software offerings are in greater demand. The growth of IoT, 5G, and AI-powered edge devices intensifies the demand for scalable and flexible edge AI software solutions. This trend indicates the growth of the software segment, which is considered the backbone of efficient edge AI deployment across industries.

By technology, the generative AI segment to witness the highest CAGR during the forecast period

Generative AI has a transformative potential in applications where advanced and real-time decision-making capabilities are required. Integrating of generative AI with edge computing enables the devices to analyze data and produce new, actionable insights in real time without depending on centralized cloud systems. This is vital for the applications such as personalized marketing, predictive maintenance, and autonomous systems, where new, context-aware content or solutions are needed online in real-time. Generative AI edge computing can optimize performance because AI models need to sense and adapt to local conditions, such as changing traffic patterns for autonomous vehicles or improving the production line yield for manufacturers. The increasing adoption of IoT devices and the need for real-time processing by healthcare, retail, and entertainment industries have propelled generative AI solutions. This places generative AI at the forefront of growth in the edge AI software market and is expected to shape how edge computing interacts with various industrial sectors.

North America to Account for Largest Market Size During Forecast Period

North America has dominated the edge AI software market, especially in the US and Canada. Rapid technological advancements and a growing emphasis on ethical and responsible Al deployment characterize the region. This high adoption of edge AI software is due to the presence of leading technology companies such as Microsoft, IBM, Google, and several others. These companies invest heavily in research and development, especially in AI-related technologies. Startups have also emerged as one of the key contributors to the region's tech ecosystem. The presence of key players such as Blaize, Nutanix, and Azion further drives market adoption in the region. The presence of key players such as Blaize, Nutanix, and Azion further drives market adoption in the region. Several other startups have also gained investments from various bodies to drive innovation. Strong regulatory support for Al integration and government funding for Al-related research further catalyze growth in the market. North America is focused on the need for cybersecurity and data privacy, which is why edge AI is being adopted securely in critical applications.

LARGEST MARKET IN 2024- 2030
CANADA FASTEST GROWING MARKET IN THE REGION
Edge AI Software Size and Share

Recent Developments of Edge AI Software Market

  • In September 2024, Synaptics announced new upgrades on its Synaptics Astra edge AI-capable platform, focusing on performance and real-time applications. This new version includes an optimization feature that allows developers to access advanced machine learning models, focusing on performance and real-time applications. This new version includes an optimization feature that allows developers to access advanced machine learning models meeting the growing demands of the edge AI market.
  • In August 2024, AWS introduced enhancements to its Amazon IoT Greengrass that enhance its edge AI capabilities. The latest feature is focused on developing and deploying better machine learning models to allow more efficient processing and inference at the edge. This gives developers access to advanced AI functionalities, reducing latency and bandwidth usage when deployed and thus making Greengrass a better solution for edge computing applications.
  • In July 2024, World Wide Technology (WWT) announced a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) aimed at advancing generative AI, edge-based AI, and cloud solutions. This multi-year agreement combines their previous relationship and is focused on enhancing digital transformation for commercial enterprises and the public sector.
  • In March 2024, it announced a new business unit to enhance joint solution engineering for hybrid multi-cloud environments, focusing on both AI computing and edge modernization solutions.

Key Market Players

List of Top Edge AI Software Companies

The Edge AI Software Market is dominated by a few major players that have a wide regional presence. The major players in the Edge AI Software Industry are

  • 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 Cloud (Singapore)
  • Bosch Global Software Technologies (India)
  • Azion (US)
  • Blaize (US)
  • ClearBlade (US)
  • Johnson Controls (US)
  • Midokura (Japan)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2030
Base year considered 2023
Forecast period 2024–2030
Forecast units USD Billion
Segments Covered By Offering, By Data Modality, By Technology, By End Uses.
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

 

Key Questions Addressed by the Report

What is edge AI software?
Edge AI software refers to artificial intelligence solutions deployed directly on edge devices. This eliminates the reliance on centralized cloud infrastructure, reduces latency, improves data privacy, and offers real-time analytics. It is mainly applied in IoT devices, autonomous vehicles, and smart manufacturing systems.
Which region is expected to have the largest share in the edge AI software market?
North America is expected to hold the largest share of the edge AI software market, driven by the burgeoning e-commerce sector, technological advancements, and changing consumer expectations. The expansion of digital shopping platforms has also been a growth factor for the market.
Which end-users are adopting edge AI software?
Enterprises adopting edge AI software products include manufacturing, retail, healthcare & life sciences, BFSI, automotive, smart cities, energy & utilities, telecommunication, transportation & logistics, consumer devices & electronics and other end-uses.
What are the key drivers supporting the edge AI software market?
The key drivers of the edge AI software market include the rapid growth in the number of intelligent applications, the exponential growth of data volume and network traffic, the increase in the use of IoT, which drives demand for edge AI software, and the rise in the adoption of 5G network technology.
Who are the major players in the edge AI software market?
The major players in the global 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 (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).

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
32
RESEARCH METHODOLOGY
38
EXECUTIVE SUMMARY
50
PREMIUM INSIGHTS
58
MARKET OVERVIEW AND INDUSTRY TRENDS
60
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing number of intelligent applications
    - Exponential growth of data volume and network traffic
    - Rising use of IoT applications
    - Increasing adoption of 5G network technology
    RESTRAINTS
    - Bandwidth limitations resulting from need for continuous data transfer
    - Limited availability of AI experts
    OPPORTUNITIES
    - Growing deployment of TinyML
    - Rising demand for autonomous and connected vehicles
    - Emergence of transformative applications in various fields
    CHALLENGES
    - Need for optimization of edge AI standards
    - Complexity of integrating diverse systems
    - Lack of hardware standards
  • 5.3 IMPACT OF GENERATIVE AI ON EDGE AI SOFTWARE MARKET
    TOP USE CASES AND MARKET POTENTIAL
    - Key use cases
  • 5.4 EDGE AI SOFTWARE MARKET: EVOLUTION
  • 5.5 ECOSYSTEM ANALYSIS
    PLATFORM PROVIDERS
    SDK PROVIDERS
    FRAMEWORK & TOOLKIT PROVIDERS
    SERVICE PROVIDERS
    TECHNOLOGY PARTNERS/INTEGRATORS
    END USERS
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 CASE STUDY ANALYSIS
    CASE STUDY 1: LEVERAGING EDGE AI AND GEOSPATIAL ANALYTICS FOR ENHANCED RESPONSE AND RECOVERY
    CASE STUDY 2: FACILITATING PREDICTIVE MAINTENANCE AND COST SAVINGS FOR PRINT SHOP
    CASE STUDY 3: TRANSFORMING POWER DISTRIBUTION BY LEVERAGING EDGE AI IN VIRTUALIZED SUBSTATIONS
    CASE STUDY 4: REVOLUTIONIZING INDUSTRIAL MONITORING WITH EKKONO'S EDGE AI VIRTUAL SENSORS
    CASE STUDY 5: TRANSFORMING WAREHOUSE EFFICIENCY WITH AUTONOMOUS AI-DRIVEN INVENTORY MONITORING SOLUTIONS
  • 5.9 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Edge computing
    - Machine Learning (ML)
    - Computer vision
    - Natural Language Processing (NLP)
    COMPLEMENTARY TECHNOLOGIES
    - Federated technologies
    - Cloud computing
    - Internet of Things (IoT)
    ADJACENT TECHNOLOGIES
    - Big data analytics
    - Digital twins
    - Blockchain
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGIONAL REGULATIONS
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.11 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
  • 5.12 PRICING ANALYSIS
    INDICATIVE PRICING ANALYSIS OF EDGE AI SOFTWARE, BY DATA MODALITY
    INDICATIVE PRICING ANALYSIS OF EDGE AI SOFTWARE, BY OFFERING
  • 5.13 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.14 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    KEY TRENDS/DISRUPTIONS IMPACTING BUSINESS MODELS
  • 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
EDGE AI SOFTWARE MARKET, BY OFFERING
104
  • 6.1 INTRODUCTION
    DRIVERS: MARKET, BY OFFERING
  • 6.2 SOFTWARE
    RISING DEMAND ACROSS DIVERSE INDUSTRIES TO BOOST MARKET
    BY TYPE
    - Platforms
    - Software development kits (SDKs)
    - Frameworks & toolkits
    BY DEPLOYMENT MODE
    - Cloud
    - On-premises
  • 6.3 SERVICES
    RISING DEMAND FOR IMPLEMENTATION AND MAINTENANCE SUPPORT TO DRIVE MARKET
    PROFESSIONAL SERVICES
    - Training & consulting
    - System integration & testing
    - Support & maintenance
    MANAGED SERVICES
EDGE AI SOFTWARE MARKET, BY DATA MODALITY
124
  • 7.1 INTRODUCTION
    DRIVERS: MARKET, BY DATA MODALITY
  • 7.2 VISUAL DATA
    NEED FOR QUICK DECISION-MAKING TO DRIVE DEMAND
    IMAGE DATA
    VIDEO DATA
  • 7.3 AUDITORY DATA
    INCREASING REQUIREMENT FOR SPEEDY RECOGNITION OF AUDITORY SIGNALS TO BOOST MARKET
    AUDIO DATA
    AUDIO SENSOR DATA
  • 7.4 TEXTUAL DATA
    NEED FOR QUICK RESPONSE TO TEXT DATA TO DRIVE MARKET
    STRUCTURED TEXT DATA
    UNSTRUCTURED TEXT DATA
    SEMI-STRUCTURED TEXT DATA
  • 7.5 SPATIAL DATA
    GROWING ADOPTION OF LOCATION-BASED APPLICATIONS TO PROPEL MARKET
    GEOSPATIAL DATA
    LOCATION SENSON DATA
  • 7.6 TEMPORAL DATA
    RISING REQUIREMENT FOR PREDICTIVE MAINTENANCE TO BOOST MARKET
    TIME-SERIES DATA
    ENVIRONMENTAL SENSOR DATA
  • 7.7 MULTIMODAL DATA
    INCREASING NEED TO COMBINE INFORMATION FROM VARIOUS SOURCES TO DRIVE DEMAND
    MULTIMODAL FUSION
    CROSS-MODAL FUSION
EDGE AI SOFTWARE MARKET, BY TECHNOLOGY
139
  • 8.1 INTRODUCTION
    DRIVERS: MARKET, BY TECHNOLOGY
  • 8.2 GENERATIVE AI
    INCREASING NEED FOR CONTENT CREATION AT LOCAL LEVEL TO DRIVE MARKET
  • 8.3 OTHER AI
    ABILITY TO FACILITATE QUICK DECISION-MAKING TO DRIVE DEMAND
    MACHINE LEARNING
    - Supervised learning
    - Unsupervised learning
    - Reinforcement learning
    NATURAL LANGUAGE PROCESSING
    COMPUTER VISION
    OTHER TECHNOLOGIES
EDGE AI SOFTWARE MARKET, BY END USE
150
  • 9.1 INTRODUCTION
    DRIVERS: MARKET, BY END USE
  • 9.2 MANUFACTURING
    ABILITY TO ENHANCE OVERALL PRODUCTIVITY TO DRIVE MARKET
    INDUSTRIAL AUTOMATION
    PREDICTIVE MAINTENANCE
    QUALITY CONTROL
    YIELD OPTIMIZATION
    CONDITION & PRECISION MONITORING
  • 9.3 HEALTHCARE & LIFE SCIENCES
    NEED FOR QUICK DATA ANALYSIS TO BOOST DEMAND
    REMOTE PATIENT MONITORING
    MEDICAL IMAGING
    HOSPITAL MANAGEMENT SYSTEMS
    REAL-TIME HEALTH DATA ANALYTICS
    PERSONALIZED MEDICINE
  • 9.4 ENERGY & UTILITIES
    GROWING ADOPTION TO IMPROVE OPERATIONAL EFFICIENCY TO FUEL MARKET
    SMART GRIDS
    RENEWABLE ENERGY MANAGEMENT
    ASSET MONITORING & OPTIMIZATION
    ENERGY DISTRIBUTION AUTOMATION
    PREDICTIVE ENERGY DEMAND FORECASTING
  • 9.5 TELECOMMUNICATION
    NEED TO OPTIMIZE NETWORK PERFORMANCE TO DRIVE DEMAND
    5G INFRASTRUCTURE
    REAL-TIME NETWORK MONITORING
    SUBSCRIBER DATA ANALYTICS
    AUTOMATED CALL ROUTING
  • 9.6 RETAIL
    INCREASING DEMAND FOR PERSONALIZED SHOPPING EXPERIENCES TO DRIVE MARKET
    IN-STORE ANALYTICS
    SMART CHECKOUTS
    CUSTOMER BEHAVIOR ANALYSIS
    INVENTORY MANAGEMENT
    PERSONALIZED PROMOTIONS & OFFERS
  • 9.7 AUTOMOTIVE
    INCREASING DEMAND FOR CONNECTED VEHICLES TO DRIVE MARKET
    AUTONOMOUS AND SEMI-AUTONOMOUS VEHICLES
    ADVANCED DRIVER-ASSISTANCE SYSTEMS (ADAS)
    DRIVER MONITORING SYSTEMS
    IN-VEHICLE INFOTAINMENT SYSTEMS
  • 9.8 TRANSPORTATION & LOGISTICS
    ABILITY TO STREAMLINE OPERATIONS TO FUEL DEMAND
    FLEET MANAGEMENT
    ROUTE OPTIMIZATION
    LOGISTICS AUTOMATION
    TRAFFIC PATTERN ANALYSIS
    SUPPLY CHAIN OPTIMIZATION
  • 9.9 SMART CITIES
    GROWING PRESSURE ON INFRASTRUCTURE AND PUBLIC SERVICES TO DRIVE DEMAND
    TRAFFIC MANAGEMENT
    WASTE MANAGEMENT
    ENVIRONMENTAL MONITORING
    SURVEILLANCE & SECURITY
    EMERGENCY RESPONSE SYSTEMS
  • 9.10 BFSI
    RISING REQUIREMENT FOR FRAUD DETECTION AND PREVENTION TO PROPEL MARKET
    FRAUD DETECTION & PREVENTION
    AUTOMATED TRADING SYSTEMS
    CUSTOMER SENTIMENT ANALYSIS
    COMPLIANCE & REGULATORY REPORTING
  • 9.11 CONSUMER ELECTRONICS & DEVICES
    INCREASING DEMAND FOR FASTER RESPONSE TIMES TO FUEL MARKET
    SMARTPHONES & TABLETS
    WEARABLE DEVICES
    SMART CAMERAS & SECURITY DEVICES
    AUGMENTED & VIRTUAL REALITY (AR/VR) HEADSETS
    CONSUMER DRONES
    HOME APPLIANCES
    OTHER DEVICES
  • 9.12 OTHER END USES
EDGE AI SOFTWARE MARKET, BY REGION
183
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    DRIVERS: MARKET IN NORTH AMERICA
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Increasing government initiatives to propel market
    CANADA
    - Collaborative efforts by government and private sector to drive market
  • 10.3 EUROPE
    DRIVERS: MARKET IN EUROPE
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Government support for research and development to fuel market
    FRANCE
    - Increasing focus on real-time data processing to drive demand
    GERMANY
    - Introduction of innovation hubs and collaborative platforms to boost market
    ITALY
    - Rising focus on research activities to drive market
    SPAIN
    - Government initiatives and private sector investments to drive market
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    DRIVERS: MARKET IN ASIA PACIFIC
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Government support for AI-related research to drive market
    JAPAN
    - Focus on infrastructure enhancement to boost demand
    INDIA
    - Government focus on innovation to drive market
    AUSTRALIA & NEW ZEALAND
    - Partnerships to leverage edge computing capabilities to boost demand
    ASEAN COUNTRIES
    - Increasing government focus on responsible AI adoption to fuel market
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    DRIVERS: MARKET IN MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    MIDDLE EAST
    - Saudi Arabia
    - UAE
    - Turkey
    - Qatar
    - Rest of Middle East
    AFRICA
  • 10.6 LATIN AMERICA
    DRIVERS: EDGE AI SOFTWARE MARKET IN LATIN AMERICA
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Rising adoption of edge computing across sectors to drive market
    MEXICO
    - Government support for digital transformation to fuel market
    ARGENTINA
    - Increasing investment in digital infrastructure to drive demand
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
239
  • 11.1 OVERVIEW
  • 11.2 KEY PLAYERS STRATEGIES/RIGHT TO WIN, 2023–2024
  • 11.3 REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS, 2023
    MARKET RANKING ANALYSIS
  • 11.5 BRAND/PRODUCT COMPARISON
    BRAND/PRODUCT COMPARISON, BY OFFERING
    BRAND/PRODUCT COMPARISON, BY DATA MODALITY
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Region footprint
    - Offering footprint
    - Technology footprint
    - End use footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
269
  • 12.1 INTRODUCTION
    MICROSOFT
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    NUTANIX
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    SYNAPTICS
    - Business overview
    - Products offered
    - Recent developments
    GORILLA TECHNOLOGIES
    - Business overview
    - Products offered
    - Recent developments
    INFINEON TECHNOLOGIES
    - Business overview
    - Products offered
    - Recent developments
    INTEL
    - Business overview
    - Products offered
    - Recent developments
    VEEA
    - Business overview
    - Products offered
    - Recent developments
  • 12.2 OTHER PLAYERS
    INTENT HQ
    BAIDU
    NVIDIA
    ALIBABA CLOUD
    BOSCH GLOBAL SOFTWARE TECHNOLOGIES
    AZION
    BLAIZE
    CLEARBLADE
    JOHNSON CONTROLS
    MIDOKURA
  • 12.3 STARTUP/SME PROFILES
    AXELERA AI
    - Business overview
    - Products offered
    - Recent developments
    EDGE IMPULSE
    - Business overview
    - Products offered
    - Recent developments
    LATENT AI
    TERAKI
    EKKONO
    SPECTRO CLOUD
    BARBARA
    INVISION AI
    HORIZON ROBOTICS
    KNERON
ADJACENT AND RELATED MARKETS
324
  • 13.1 INTRODUCTION
  • 13.2 EDGE COMPUTING MARKET - GLOBAL FORECAST TO 2029
    MARKET DEFINITION
    MARKET OVERVIEW
    - Edge computing market, by component
    - Edge computing market, by organization size
    - Edge computing market, by application
    - Edge computing market, by vertical
    - Edge computing market, by region
  • 13.3 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial intelligence market, by offering
    - Artificial intelligence market, by technology
    - Artificial intelligence market, by business function
    - Artificial intelligence market, by vertical
    - Artificial intelligence market, by region
APPENDIX
335
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATE, 2019–2023
  • TABLE 2 KEY PARTICIPANTS IN PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 EDGE AI SOFTWARE MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y)
  • TABLE 5 EDGE AI SOFTWARE MARKET SIZE AND GROWTH RATE, 2024–2030 (USD MILLION, Y-O-Y)
  • TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 EDGE AI SOFTWARE MARKET: PATENTS FILED, 2015–2024
  • TABLE 12 EDGE AI SOFTWARE-RELATED PATENTS, 2023–2024
  • TABLE 13 INDICATIVE PRICING ANALYSIS OF EDGE AI SOFTWARE, BY DATA MODALITY
  • TABLE 14 INDICATIVE PRICING ANALYSIS OF EDGE AI SOFTWARE, BY OFFERING
  • TABLE 15 EDGE AI SOFTWARE MARKET: KEY CONFERENCES & EVENTS, 2024–2025
  • TABLE 16 MARKET: IMPACT OF PORTER’S FIVE FORCES
  • TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USES
  • TABLE 18 KEY BUYING CRITERIA FOR TOP THREE END USES
  • TABLE 19 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 20 EDGE AI SOFTWARE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 21 SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 22 SOFTWARE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 23 SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 24 SOFTWARE: MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 25 PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 26 PLATFORMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 27 SOFTWARE DEVELOPMENT KITS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 28 SOFTWARE DEVELOPMENT KITS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 29 FRAMEWORKS & TOOLKITS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 30 FRAMEWORKS & TOOLKITS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 31 SOFTWARE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 32 SOFTWARE: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 33 CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 34 CLOUD: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 35 ON-PREMISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 36 ON-PREMISES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 37 EDGE AI SOFTWARE MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 38 MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 39 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 40 SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 41 PROFESSIONAL SERVICES: MARKET, 2019–2023 (USD MILLION)
  • TABLE 42 PROFESSIONAL SERVICES: MARKET, 2024–2030 (USD MILLION)
  • TABLE 43 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 44 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 45 TRAINING & CONSULTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 46 TRAINING & CONSULTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 47 SYSTEM INTEGRATION & TESTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 48 SYSTEM INTEGRATION & TESTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 49 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 50 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 51 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 52 MANAGED SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 53 EDGE AI SOFTWARE MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 54 MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 55 VISUAL DATA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 56 VISUAL DATA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 57 AUDITORY DATA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 58 AUDITORY DATA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 59 TEXTUAL DATA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 60 TEXTUAL DATA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 61 SPATIAL DATA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 62 SPATIAL DATA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 63 TEMPORAL DATA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 64 TEMPORAL DATA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 65 MULTIMODAL DATA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 66 MULTIMODAL DATA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 67 EDGE AI SOFTWARE MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 68 MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 69 GENERATIVE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 70 GENERATIVE AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 71 OTHER AI: MARKET, 2019–2023 (USD MILLION)
  • TABLE 72 OTHER AI: MARKET, 2024–2030 (USD MILLION)
  • TABLE 73 OTHER AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 74 OTHER AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 75 MACHINE LEARNING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 76 MACHINE LEARNING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 77 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 78 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 79 COMPUTER VISION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 80 COMPUTER VISION: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 81 OTHER TECHNOLOGIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 82 OTHER TECHNOLOGIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 83 EDGE AI SOFTWARE MARKET, BY END USE, 2019–2023 (USD MILLION)
  • TABLE 84 MARKET, BY END USE, 2024–2030 (USD MILLION)
  • TABLE 85 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 86 MANUFACTURING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 87 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 88 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 89 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 90 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 91 TELECOMMUNICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 92 TELECOMMUNICATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 93 RETAIL: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 94 RETAIL: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 95 AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 96 AUTOMOTIVE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 97 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 98 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 99 SMART CITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 100 SMART CITIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 101 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 102 BFSI: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 103 CONSUMER ELECTRONICS & DEVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 104 CONSUMER ELECTRONICS & DEVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 105 OTHER END USES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 106 OTHER END USES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 107 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 108 MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 109 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 110 NORTH AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 111 NORTH AMERICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 112 NORTH AMERICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 113 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 114 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 115 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 116 NORTH AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 117 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 118 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 119 NORTH AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 120 NORTH AMERICA: MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 122 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MARKET, BY OTHER AI TECHNOLOGIES, 2019–2023 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MARKET, BY OTHER AI TECHNOLOGIES, 2024–2030 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MARKET, BY END USE, 2019–2023 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MARKET, BY END USE, 2024–2030 (USD MILLION)
  • TABLE 127 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 128 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 129 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 130 EUROPE: EDGE AI SOFTWARE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 131 EUROPE: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 132 EUROPE: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 133 EUROPE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 134 EUROPE: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 135 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 136 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 137 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 138 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 139 EUROPE: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 140 EUROPE: MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 141 EUROPE: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 142 EUROPE: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 143 EUROPE: MARKET, BY OTHER AI TECHNOLOGIES, 2019–2023 (USD MILLION)
  • TABLE 144 EUROPE: MARKET, BY OTHER AI TECHNOLOGIES, 2024–2030 (USD MILLION)
  • TABLE 145 EUROPE: MARKET, BY END USE, 2019–2023 (USD MILLION)
  • TABLE 146 EUROPE: MARKET, BY END USE, 2024–2030 (USD MILLION)
  • TABLE 147 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 148 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 149 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 150 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 151 ASIA PACIFIC: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 152 ASIA PACIFIC: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 153 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 154 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 155 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 156 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 157 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 158 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 159 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: MARKET, BY OTHER AI TECHNOLOGIES, 2019–2023 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: MARKET, BY OTHER AI TECHNOLOGIES, 2024–2030 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: MARKET, BY END USE, 2019–2023 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: MARKET, BY END USE, 2024–2030 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 169 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 170 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 171 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 172 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 173 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 174 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 175 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 176 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 177 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 178 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 179 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 180 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 181 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 182 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 183 MIDDLE EAST & AFRICA: MARKET, BY OTHER AI TECHNOLOGIES, 2019–2023 (USD MILLION)
  • TABLE 184 MIDDLE EAST & AFRICA: MARKET, BY OTHER AI TECHNOLOGIES, 2024–2030 (USD MILLION)
  • TABLE 185 MIDDLE EAST & AFRICA: MARKET, BY END USE, 2019–2023 (USD MILLION)
  • TABLE 186 MIDDLE EAST & AFRICA: MARKET, BY END USE, 2024–2030 (USD MILLION)
  • TABLE 187 MIDDLE EAST & AFRICA: MARKET, BY SUB-REGION, 2019–2023 (USD MILLION)
  • TABLE 188 MIDDLE EAST & AFRICA: MARKET, BY SUB-REGION, 2024–2030 (USD MILLION)
  • TABLE 189 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 191 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 192 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 193 LATIN AMERICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 194 LATIN AMERICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 195 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 196 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 197 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 198 LATIN AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 199 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 200 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 201 LATIN AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 202 LATIN AMERICA: MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 203 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 204 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
  • TABLE 205 LATIN AMERICA: MARKET, BY OTHER AI TECHNOLOGIES, 2019–2023 (USD MILLION)
  • TABLE 206 LATIN AMERICA: MARKET, BY OTHER AI TECHNOLOGIES, 2024–2030 (USD MILLION)
  • TABLE 207 LATIN AMERICA: MARKET, BY END USE, 2019–2023 (USD MILLION)
  • TABLE 208 LATIN AMERICA: MARKET, BY END USE, 2024–2030 (USD MILLION)
  • TABLE 209 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 210 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 211 OVERVIEW OF STRATEGIES ADOPTED BY KEY EDGE AI SOFTWARE VENDORS, 2023–2024
  • TABLE 212 MARKET: DEGREE OF COMPETITION
  • TABLE 213 EDGE AI SOFTWARE MARKET: REGION FOOTPRINT
  • TABLE 214 MARKET: OFFERING FOOTPRINT
  • TABLE 215 MARKET: TECHNOLOGY FOOTPRINT
  • TABLE 216 MARKET: END USE FOOTPRINT
  • TABLE 217 EDGE AI SOFTWARE MARKET: KEY STARTUPS/SMES
  • TABLE 218 MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 219 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2022– NOVEMBER 2024
  • TABLE 220 EDGE AI SOFTWARE MARKET: DEALS, JANUARY 2022–NOVEMBER 2024
  • TABLE 221 MICROSOFT: COMPANY OVERVIEW
  • TABLE 222 MICROSOFT: PRODUCTS OFFERED
  • TABLE 223 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 224 MICROSOFT: DEALS
  • TABLE 225 IBM: COMPANY OVERVIEW
  • TABLE 226 IBM: PRODUCTS OFFERED
  • TABLE 227 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 228 IBM: DEALS
  • TABLE 229 GOOGLE: COMPANY OVERVIEW
  • TABLE 230 GOOGLE: PRODUCTS OFFERED
  • TABLE 231 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 232 GOOGLE: DEALS
  • TABLE 233 AWS: COMPANY OVERVIEW
  • TABLE 234 AWS: PRODUCTS OFFERED
  • TABLE 235 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 236 AWS: DEALS
  • TABLE 237 NUTANIX: COMPANY OVERVIEW
  • TABLE 238 NUTANIX: PRODUCTS OFFERED
  • TABLE 239 NUTANIX: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 240 NUTANIX: DEALS
  • TABLE 241 SYNAPTICS: COMPANY OVERVIEW
  • TABLE 242 SYNAPTICS: PRODUCTS OFFERED
  • TABLE 243 SYNAPTICS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 244 SYNAPTICS: DEALS
  • TABLE 245 GORILLA TECHNOLOGIES: COMPANY OVERVIEW
  • TABLE 246 GORILLA TECHNOLOGIES: PRODUCTS OFFERED
  • TABLE 247 GORILLA TECHNOLOGIES: DEALS
  • TABLE 248 INFINEON TECHNOLOGIES: COMPANY OVERVIEW
  • TABLE 249 INFINEON TECHNOLOGIES: PRODUCTS OFFERED
  • TABLE 250 INFINEON TECHNOLOGIES: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 251 INFINEON TECHNOLOGIES: DEALS
  • TABLE 252 INTEL: COMPANY OVERVIEW
  • TABLE 253 INTEL: PRODUCTS
  • TABLE 254 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 255 INTEL: DEALS
  • TABLE 256 VEEA: COMPANY OVERVIEW
  • TABLE 257 VEEA: PRODUCTS OFFERED
  • TABLE 258 VEEA: DEALS
  • TABLE 259 AXELERA AI: COMPANY OVERVIEW
  • TABLE 260 AXELERA AI: PRODUCTS OFFERED
  • TABLE 261 AXELERA AI: DEALS
  • TABLE 262 EDGE IMPULSE: COMPANY OVERVIEW
  • TABLE 263 EDGE IMPULSE: PRODUCTS OFFERED
  • TABLE 264 EDGE IMPULSE: DEALS
  • TABLE 265 EDGE COMPUTING MARKET, BY COMPONENT, 2019–2023 (USD MILLION)
  • TABLE 266 EDGE COMPUTING MARKET, BY COMPONENT, 2024–2029 (USD MILLION)
  • TABLE 267 EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 268 EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 269 EDGE COMPUTING MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 270 EDGE COMPUTING MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 271 EDGE COMPUTING MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 272 EDGE COMPUTING MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 273 EDGE COMPUTING MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 274 EDGE COMPUTING MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 275 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 276 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
  • TABLE 277 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
  • TABLE 278 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
  • TABLE 279 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
  • TABLE 280 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
  • TABLE 281 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
  • TABLE 282 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
  • TABLE 283 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
  • TABLE 284 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
LIST OF FIGURES
 
  • FIGURE 1 EDGE AI SOFTWARE MARKET: RESEARCH DESIGN
  • FIGURE 2 MARKET: DATA TRIANGULATION
  • FIGURE 3 TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM EDGE AI SOFTWARE PRODUCTS
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE OF ALL EDGE AI SOFTWARE PRODUCTS
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL EDGE AI SOFTWARE PRODUCTS
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF EDGE AI SOFTWARE MARKET THROUGH OVERALL EDGE AI SOFTWARE SPENDING
  • FIGURE 8 SOFTWARE SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2024
  • FIGURE 9 PLATFORMS SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 10 CLOUD SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2024
  • FIGURE 12 TRAINING & CONSULTING SEGMENT TO LEAD PROFESSIONAL SERVICES MARKET IN 2024
  • FIGURE 13 VISUAL DATA SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN 2024
  • FIGURE 14 OTHER AI SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 15 MACHINE LEARNING SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 16 AUTOMOTIVE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 17 EDGE AI SOFTWARE MARKET IN ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18 INCREASING ENTERPRISE WORKLOADS ON CLOUD AND RAPID GROWTH IN NUMBER OF INTELLIGENT APPLICATIONS TO DRIVE MARKET
  • FIGURE 19 AUTOMOTIVE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 20 VISUAL DATA AND MANUFACTURING SEGMENTS TO ACCOUNT FOR LARGEST MARKET SHARES IN 2024
  • FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 22 EDGE AI SOFTWARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 23 POTENTIAL OF GENERATIVE AI USE IN EDGE AI SOFTWARE
  • FIGURE 24 EVOLUTION OF EDGE AI SOFTWARE MARKET
  • FIGURE 25 EDGE AI SOFTWARE MARKET: KEY PLAYERS IN ECOSYSTEM
  • FIGURE 26 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 27 LEADING EDGE AI SOFTWARE VENDORS, BY FUNDING VALUE (MILLION) AND FUNDING ROUND, 2024
  • FIGURE 28 EDGE AI SOFTWARE MARKET: NUMBER OF PATENTS GRANTED, 2015–2024
  • FIGURE 29 REGIONAL ANALYSIS OF EDGE AI SOFTWARE-RELATED PATENTS GRANTED, 2015–2024
  • FIGURE 30 MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 31 EDGE AI SOFTWARE MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USES
  • FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE END USES
  • FIGURE 34 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 35 PLATFORMS SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST
  • FIGURE 36 ON-PREMISES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 37 MANAGED SERVICES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 38 SUPPORT & MAINTENANCE SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 AUDITORY SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 41 MACHINE LEARNING SEGMENT TO LEAD DURING FORECAST PERIOD
  • FIGURE 42 AUTOMOTIVE SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 ASIA PACIFIC MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 EDGE AI SOFTWARE MARKET IN INDIA TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 45 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 46 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 47 TOP FIVE PLAYERS DOMINATED MARKET OVER LAST FIVE YEARS
  • FIGURE 48 SHARE OF LEADING COMPANIES IN EDGE AI SOFTWARE MARKET, 2023
  • FIGURE 49 MARKET: BRAND/PRODUCT COMPARISON, BY OFFERING
  • FIGURE 50 EDGE AI SOFTWARE MARKET: BRAND/PRODUCT COMPARISON, BY DATA MODALITY
  • FIGURE 51 MARKET: COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 52 EDGE AI SOFTWARE MARKET: YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND FIVE-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 53 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 54 EDGE AI SOFTWARE MARKET: COMPANY FOOTPRINT
  • FIGURE 55 MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 57 IBM: COMPANY SNAPSHOT
  • FIGURE 58 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 59 AWS: COMPANY SNAPSHOT
  • FIGURE 60 NUTANIX: COMPANY SNAPSHOT
  • FIGURE 61 SYNAPTICS: COMPANY SNAPSHOT
  • FIGURE 62 GORILLA TECHNOLOGIES: COMPANY SNAPSHOT
  • FIGURE 63 INFINEON TECHNOLOGIES: COMPANY SNAPSHOT
  • FIGURE 64 INTEL: COMPANY SNAPSHOT

 

The research study for the edge AI software market involved extensive secondary sources, directories, IEEE Communication-Efficient Edge AI: Algorithms and Systems, International Journal of Innovation and Technology Management, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred edge AI software providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering edge AI software and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, edge AI software spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to software, services, data modality, technology, end uses and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the 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 Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and edge AI software expertise; related key executives from edge AI software solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from software and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to offering, data modality, technologies, end uses, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using edge AI software, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of edge AI software and services, which would impact the overall edge AI software market.

Edge AI Software Size, and Share

Note 1: Others include sales managers, marketing managers, and product managers.
Note 2: Tier 1 companies’ revenues are more than USD 10 billion; tier 2 companies’ revenues range between USD 1 and 10 billion; and tier 3 companies’
revenues range between USD 500 million and USD 1 billion.
Source: Industry Experts

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the edge AI software market. The first approach involves estimating the market size by companies’ revenue generated through the sale of edge AI software products.

Market Size Estimation Methodology- Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering products in the edge AI software market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on the breadth of offering, data modality, technologies, end uses, and regions. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of edge AI software products among different verticals in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of edge AI software products among enterprises, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the edge AI software market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major edge AI software providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall edge AI software market size and segments’ size were determined and confirmed using the study.

Edge AI Software Market : Top-Down and Bottom-Up Approach

Edge AI Software Top Down and Bottom Up Approach

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.

Market Definition

Edge AI software enables aggregation, processing, computation, and analysis of data present near or on edge devices by leveraging AI and IoT technologies. The software helps to process data on edge nodes, even in remote and decentralized networks, without cloud connectivity. Integrating AI with IoT in edge devices helps enterprises minimize latency, reduce bandwidth, reduce threats, avoid duplication, improve reliability, and maintain compliance.

Stakeholders

  • Edge AI software vendors
  • Edge AI service vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors
  • Distributors and Value-added Resellers (VARs)
  • System Integrators (SIs)
  • Independent Software Vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the edge AI software market by offering, data modality, technology, end use, and region
  • To describe and forecast the market, in terms of value, by region: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To provide detailed information regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
  • To profile key players and comprehensively analyze their market positions in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
  • To analyze competitive developments such as mergers and acquisitions, partnerships, collaborations, product launches and enhancements, and ongoing research and development (R&D) in the market
  • To provide the illustrative segmentation, analysis, and projection of the main regional markets

Note 1: Micromarkets refer to further segments and subsegments of the edge AI software market included in the report.
Note 2: Core competencies of companies were captured in terms of their key developments and key strategies adopted by them to sustain their position in the 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

  • The product matrix provides a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

  • Further breakup of the Market
  • Further breakup of the European edge AI software Market
  • Further breakup of the Asia Pacific Market
  • Further breakup of the Middle East & Africa Market
  • Further breakup of the Latin American Market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

 

Previous Versions of this Report

Edge AI Software Market by Offering (Solutions (Standalone and Integrated) and Services), Data Type (Video & Image Data, Audio Data, Text & Language Data, Biometric Data, and Multi-modal Data), Vertical and Region - Global Forecast to 2028

Report Code TC 6908
Published in Nov, 2023, By MarketsandMarkets™

Edge AI Software Market by Component (Solution and Services), Data Source (Video & Image Recognition, Mobile Data), Organization Size, Vertical (Energy & Utilities, Manufacturing, Healthcare & Life Sciences) and Region - Global Forecast to 2027

Report Code TC 6908
Published in Nov, 2022, By MarketsandMarkets™

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

Report Code TC 6908
Published in Feb, 2021, By MarketsandMarkets™

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

Report Code TC 6908
Published in Feb, 2019, By MarketsandMarkets™
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