AI Edge Computing Market Size 2025-2029
The ai edge computing market size is forecast to increase by USD 50.7 billion, at a CAGR of 31.9% between 2024 and 2029.
The global ai edge computing market is advancing, driven by the proliferation of intelligent devices that require localized processing. The increasing adoption of ai-enabled iot devices necessitates robust ai computing hardware to handle complex tasks without relying on centralized cloud infrastructure. This shift supports the growing use of ai edge computing to obtain real-time analytics, a key trend enabling immediate, data-driven decisions in various applications. The development of sophisticated ai edge software and ai hardware for edge devices is crucial for delivering the low-latency response required by autonomous systems and smart environments.This progress is tempered by significant security concerns related to edge ai devices, which can introduce vulnerabilities within an organization's IT network. The decentralized nature of edge computing expands the potential attack surface, making robust edge ai security protocols essential. Issues with data privacy and the potential for unauthorized access to sensitive information processed on-device remain a primary challenge. Addressing these risks through advanced security measures is critical for fostering trust and ensuring the sustainable adoption of edge analytics market solutions across industries.
What will be the Size of the AI Edge Computing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The evolution of the ai edge computing market is marked by the continuous development of on-device ai inference capabilities and advanced neural processing unit designs. This progress in ai computing hardware is enabling more complex ai workload optimization directly on edge devices. The integration of these technologies into a coherent ai edge infrastructure is crucial for supporting real-time data processing and decision-making across various applications.Simultaneously, advancements in ai edge software are focused on streamlining ai model deployment and management. The use of edge computing frameworks and distributed cloud architecture facilitates the creation of scalable and resilient systems. These innovations are critical for the artificial intelligence (AI) in iot market, where countless devices require seamless connectivity and intelligent functionality. The emphasis remains on improving the efficiency and security of localized ai processing.
How is this AI Edge Computing Industry segmented?
The ai edge computing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Type
- Hardware
- Software and services
- End-user
- Application
- Consumer electronics
- Smart cities
- Automotive
- Geography
- North America
- Europe
- UK
- Germany
- France
- Italy
- The Netherlands
- Spain
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- South America
- Middle East and Africa
- Rest of World (ROW)
By Type Insights
The hardware segment is estimated to witness significant growth during the forecast period.
The hardware segment is a cornerstone of the AI edge computing market, encompassing the physical components that enable on-device processing. This includes processors like CPUs, GPUs, FPGAs, and ASICs, which are integrated into devices such as smartphones, surveillance cameras, and industrial equipment. The demand for these components is driven by the need for real-time analytics and low-latency responses. In 2023, the hardware segment accounted for approximately 71.5% of the total market, reflecting its foundational role in building out edge infrastructure.
Growth in this segment is closely tied to the proliferation of connected devices and the increasing complexity of AI models being deployed at the edge. Innovations in semiconductor technology are leading to more powerful and energy-efficient processors, making it feasible to run sophisticated AI algorithms in resource-constrained environments. As industries from automotive to consumer electronics continue to embed intelligence directly into their products, the demand for advanced AI edge hardware and on-device AI inference capabilities will continue to define market expansion.

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The Hardware segment was valued at USD 4.3 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis
North America is estimated to contribute 82.6% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In 2024, North America stood as the dominant region in the global AI edge computing market, propelled by its advanced technological infrastructure and a strong ecosystem of innovation. The region's leadership is supported by substantial investments in R&D and the widespread adoption of edge AI across various sectors, including automotive, healthcare, and industrial automation. The United States, in particular, drives a significant portion of the regional market, contributing to approximately 78% of North America's market value in 2024, underscoring its pivotal role.
Key factors sustaining momentum in North America include the rapid proliferation of IoT devices, government initiatives promoting smart infrastructure, and the presence of major technology and semiconductor firms. The automotive industry is a notable driver, with heavy investment in autonomous vehicle technology that relies on low-latency, on-device AI processing. This combination of technological readiness, consumer demand for intelligent products, and a favorable investment climate positions North America to continue shaping the future of AI edge computing.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global AI edge computing market is expanding rapidly, driven by the critical need for real-time AI inferencing on edge devices. Key growth sectors include AI edge infrastructure for industrial automation, which relies on AI-powered predictive maintenance at the edge and real-time anomaly detection using edge AI. In urban environments, edge AI for smart city traffic management leverages sophisticated computer vision applications on edge devices to optimize flow. The automotive industry is a significant adopter, with advancements in AI edge computing for autonomous vehicles and low-latency AI for driver-assistance systems becoming paramount. Achieving this requires integrating AI with V2X communication systems for enhanced vehicle-to-everything connectivity, alongside efficiently managing IOT devices with edge AI across various ecosystems.To capitalize on these opportunities, stakeholders must address core technical hurdles. The challenge of deploying AI models on resource-constrained devices is being met through innovative approaches to optimizing AI workloads for edge hardware and the development of specialized hardware accelerators for AI edge computing. Advanced system-on-a-chip for AI edge applications are crucial for achieving energy-efficient AI processing at the edge. Concurrently, ensuring latency reduction with mobile edge computing is a top priority for OEMs. However, widespread adoption hinges on mitigating security challenges in edge AI deployments through measures like secure boot implementation for edge devices. Furthermore, addressing data privacy in decentralized AI systems is essential, with techniques like federated learning for distributed AI models emerging as a key solution to train models without centralizing sensitive data.

What are the key market drivers leading to the rise in the adoption of AI Edge Computing Industry?
- The primary market driver is the increasing proliferation of edge AI devices, which expands the need for localized data processing.
The proliferation of edge AI devices, including smartphones, drones, and smart cameras, is fundamentally shaping market dynamics. These devices, now commonly equipped with advanced sensors and processing capabilities, generate immense data streams that require localized analysis. The need for real-time decision-making and reduced latency drives the demand for on-device ai processing. This allows operational decisions and system optimizations to be executed instantly, enhancing efficiency and reliability without the bandwidth constraints of sending all raw data to a central server. As the ecosystem of interconnected, intelligent devices continues to expand, the requirement for high-performance ai edge chipsets and decentralized data analysis grows in tandem, positioning localized AI as a foundational technology for next-generation applications.The expanding use of edge AI in transportation and traffic management highlights its practical impact on urban infrastructure and mobility. AI-powered video analytics, deployed in intelligent transportation systems (ITS), enable real-time monitoring of traffic flow, detection of incidents, and optimization of signal timing. This local processing of video feeds reduces the need for extensive data transmission to a central control center, allowing for faster responses. In public transit and logistics, edge AI helps optimize routes and schedules based on real-time conditions. Failure to comply with stringent data protection regulations, which can lead to fines of up to 4% of annual global revenue, further encourages localized data handling to ensure compliance and protect sensitive information.
What are the market trends shaping the AI Edge Computing Industry?
- A key upcoming trend is the growing utilization of AI edge computing to achieve real-time analytical insights.
The growing use of ai edge computing to derive real-time analytics is a important trend. In industrial settings, this capability supports the automatic analysis of material flows through advanced machine vision, enabling the detection of quality deviations and the prediction of equipment failure. By analyzing data directly from sensors on machinery and industrial robots, industrial edge ai facilitates proactive maintenance and minimizes costly downtime. Similarly, in the automotive sector, self-driving cars utilize on-device ai hardware for edge devices to process sensor data for critical functions like braking and steering. This enables near-real-time analytical capabilities in scenarios where immediate response is crucial, underpinning advancements in both industrial automation and autonomous mobility.The widespread adoption of cloud architectures and the corresponding growth of latency-sensitive applications are creating a symbiotic relationship with edge computing. While the cloud offers vast storage and computational power, many modern applications, such as augmented reality, online gaming, and real-time financial trading, demand processing closer to the user to minimize delays. This has led to the rise of hybrid computing models and a distributed cloud architecture. This approach leverages ai-ready cloud solutions for heavy computational tasks and model training, while ai model deployment occurs at the network edge for low-latency inference. This distribution of workloads, where some regions contribute over 10% of the geographic opportunity, optimizes performance by combining the scalability of the cloud with the responsiveness of edge ai infrastructure.
What challenges does the AI Edge Computing Industry face during its growth?
- A significant challenge affecting market growth is the inherent security concerns associated with edge AI devices.
Security concerns related to edge ai devices present a significant challenge to market adoption. These devices, from surveillance cameras to smart speakers, can become entry points for a variety of cyberattacks, including DDoS attacks, data breaches, and the introduction of malware. The mass production of identical devices often with weak or default security configurations, makes them vulnerable to widespread hacking. Once compromised, these devices can be used to disrupt networks or exfiltrate sensitive data. Although manufacturers are increasingly focusing on enhancing edge security protocols and protecting customer data, the lack of stringent, universally enforced privacy and security regulations leaves end-users exposed. This environment of uncertainty can hinder the adoption of edge technologies and, consequently, temper market growth.The high initial investments required for deploying ai edge computing infrastructure pose another considerable challenge. Establishing a robust edge ecosystem involves significant capital expenditure on specialized hardware, such as high-performance processors, AI accelerators, and intelligent sensors. Beyond the hardware, there are substantial costs associated with developing or acquiring sophisticated ai edge software, integrating it with existing systems, and ensuring seamless data flow. For many organizations, particularly small and medium-sized enterprises, the upfront financial commitment can be prohibitive. This economic barrier slows the pace of adoption and can limit the accessibility of advanced edge ai capabilities to larger corporations with greater financial resources, thereby creating a competitive imbalance in the market.
Exclusive Customer Landscape
The ai edge computing market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai edge computing market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.

Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai edge computing market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Accenture PLC - Key offerings in the market center on providing a comprehensive suite of solutions that enable artificial intelligence capabilities at the network edge. These offerings typically include integrated platforms designed for edge environments, which facilitate real-time data processing, analytics, and machine learning inference. Core components consist of specialized hardware such as AI inference accelerators and embedded AI modules, alongside robust software for managing AI model deployment and orchestration. Solutions are engineered to support a variety of applications, from IoT device management and industrial automation to advanced video analytics, by providing the necessary infrastructure to run AI workloads securely and efficiently with low latency. The focus is on delivering scalable, secure, and high-performance environments that allow enterprises to derive immediate insights from data generated at the source.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- Accenture PLC
- Amazon Web Services Inc.
- Azion Technologies Inc.
- Cisco Systems Inc.
- ClearBlade Inc.
- Hewlett Packard Enterprise Co.
- Huawei Technologies Co. Ltd.
- Intel Corp.
- International Business Machines Corp.
- Johnson Controls International Plc
- Microsoft Corp.
- Nutanix Inc.
- Rigado Inc.
- SAGUNA Network LTD.
- SixSq SA
- Synaptics Inc.
- Vapor IO Inc.
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai Edge Computing Market
In March 2024, NVIDIA expanded its Metropolis platform with new microservices to accelerate the development and deployment of vision AI applications on its Jetson edge AI hardware.In February 2024, Intel launched its new Intel vPro platform, which integrates the Intel Core Ultra processor with its built-in neural processing unit to power AI-enabled commercial PCs and edge devices.In February 2024, Microsoft announced the public preview of Azure IoT Operations, a unified set of services that leverage Azure Arc to enable data processing and analytics at the edge.
Research Analyst Overview
The global AI edge computing market is characterized by a continuous shift towards decentralized intelligence, driven by the operational necessity for real-time data processing and low-latency response. This evolution facilitates localized AI processing and on-device AI inference, which are pivotal for bandwidth consumption reduction and enabling machine learning at the edge across a diverse range of AI-enabled IoT devices. The adoption of hybrid computing models within a distributed cloud architecture is becoming more pronounced, supported by versatile edge computing frameworks that simplify AI model deployment. This move toward decentralized data analysis and on-premise AI processing is particularly significant for operations within resource-constrained environments, reshaping how data is managed and utilized at its source.Hardware innovation is a central dynamic, with the development of specialized AI edge chipsets integrating components such as the neural processing unit, system-on-a-chip (SOC), graphics processing unit (GPU), field-programmable gate array (FPGA), and application-specific integrated circuit (ASIC). These AI inference accelerators and embedded edge AI modules are fundamental for hardware-accelerated AI and effective AI workload optimization. In application sectors, this supports sophisticated computer vision applications through sensor data fusion and AI-powered video analytics for smart surveillance systems. It also enables predictive maintenance and anomaly detection, while its role in intelligent transportation systems (ITS) is critical for advanced driver-assistance systems (ADAS) and vehicle-to-everything (V2X) communication, all secured by secure boot mechanisms. Industry stakeholders project a 28% increase in related solution adoption.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI Edge Computing Market insights. See full methodology.
Market Scope
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Report Coverage
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Details
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Page number
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303
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Base year
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2024
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Historic period
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2019 - 2023 |
Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 31.9%
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Market growth 2024-2029
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USD 50.7 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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26.1%
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Key countries
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US, Canada, Mexico, UK, Germany, France, Italy, The Netherlands, Spain, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Argentina, Colombia, Saudi Arabia, UAE, South Africa, Israel, Turkey
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI Edge Computing Market Research and Growth Report?
- CAGR of the AI Edge Computing industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, Europe, APAC, South America, Middle East and Africa
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai edge computing market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Type
- Executive Summary - Chart on Market Segmentation by End-user
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI Edge Computing Market 2019 - 2023
- Historic Market Size - Data Table on Global AI Edge Computing Market 2019 - 2023 ($ billion)
- 5.2 Type segment analysis 2019 - 2023
- Historic Market Size - Type Segment 2019 - 2023 ($ billion)
- 5.3 End-user segment analysis 2019 - 2023
- Historic Market Size - End-user Segment 2019 - 2023 ($ billion)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ billion)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Qualitative Analysis
- 6 Qualitative Analysis
- 6.1 Impact of AI on the global AI edge computing market
7 Five Forces Analysis
- 7 Five Forces Analysis
- 7.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 7.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 7.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 7.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 7.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 7.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 7.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
8 Market Segmentation by Type
- 8 Market Segmentation by Type
- 8.1 Market segments
- Chart on Type - Market share 2024-2029 (%)
- Data Table on Type - Market share 2024-2029 (%)
- 8.2 Comparison by Type
- Chart on Comparison by Type
- Data Table on Comparison by Type
- 8.3 Hardware - Market size and forecast 2024-2029
- Chart on Hardware - Market size and forecast 2024-2029 ($ billion)
- Data Table on Hardware - Market size and forecast 2024-2029 ($ billion)
- Chart on Hardware - Year-over-year growth 2024-2029 (%)
- Data Table on Hardware - Year-over-year growth 2024-2029 (%)
- 8.4 Software and services - Market size and forecast 2024-2029
- Chart on Software and services - Market size and forecast 2024-2029 ($ billion)
- Data Table on Software and services - Market size and forecast 2024-2029 ($ billion)
- Chart on Software and services - Year-over-year growth 2024-2029 (%)
- Data Table on Software and services - Year-over-year growth 2024-2029 (%)
- 8.5 Market opportunity by Type
- Market opportunity by Type ($ billion)
- Data Table on Market opportunity by Type ($ billion)
9 Market Segmentation by End-user
- 9 Market Segmentation by End-user
- 9.1 Market segments
- Chart on End-user - Market share 2024-2029 (%)
- Data Table on End-user - Market share 2024-2029 (%)
- 9.2 Comparison by End-user
- Chart on Comparison by End-user
- Data Table on Comparison by End-user
- 9.3 Video surveillance - Market size and forecast 2024-2029
- Chart on Video surveillance - Market size and forecast 2024-2029 ($ billion)
- Data Table on Video surveillance - Market size and forecast 2024-2029 ($ billion)
- Chart on Video surveillance - Year-over-year growth 2024-2029 (%)
- Data Table on Video surveillance - Year-over-year growth 2024-2029 (%)
- 9.4 Remote monitoring - Market size and forecast 2024-2029
- Chart on Remote monitoring - Market size and forecast 2024-2029 ($ billion)
- Data Table on Remote monitoring - Market size and forecast 2024-2029 ($ billion)
- Chart on Remote monitoring - Year-over-year growth 2024-2029 (%)
- Data Table on Remote monitoring - Year-over-year growth 2024-2029 (%)
- 9.5 Access management - Market size and forecast 2024-2029
- Chart on Access management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Access management - Market size and forecast 2024-2029 ($ billion)
- Chart on Access management - Year-over-year growth 2024-2029 (%)
- Data Table on Access management - Year-over-year growth 2024-2029 (%)
- 9.6 Autonomous vehicles - Market size and forecast 2024-2029
- Chart on Autonomous vehicles - Market size and forecast 2024-2029 ($ billion)
- Data Table on Autonomous vehicles - Market size and forecast 2024-2029 ($ billion)
- Chart on Autonomous vehicles - Year-over-year growth 2024-2029 (%)
- Data Table on Autonomous vehicles - Year-over-year growth 2024-2029 (%)
- 9.7 Others - Market size and forecast 2024-2029
- Chart on Others - Market size and forecast 2024-2029 ($ billion)
- Data Table on Others - Market size and forecast 2024-2029 ($ billion)
- Chart on Others - Year-over-year growth 2024-2029 (%)
- Data Table on Others - Year-over-year growth 2024-2029 (%)
- 9.8 Market opportunity by End-user
- Market opportunity by End-user ($ billion)
- Data Table on Market opportunity by End-user ($ billion)
10 Market Segmentation by Application
- 10 Market Segmentation by Application
- 10.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 10.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 10.3 Consumer electronics - Market size and forecast 2024-2029
- Chart on Consumer electronics - Market size and forecast 2024-2029 ($ billion)
- Data Table on Consumer electronics - Market size and forecast 2024-2029 ($ billion)
- Chart on Consumer electronics - Year-over-year growth 2024-2029 (%)
- Data Table on Consumer electronics - Year-over-year growth 2024-2029 (%)
- 10.4 Smart cities - Market size and forecast 2024-2029
- Chart on Smart cities - Market size and forecast 2024-2029 ($ billion)
- Data Table on Smart cities - Market size and forecast 2024-2029 ($ billion)
- Chart on Smart cities - Year-over-year growth 2024-2029 (%)
- Data Table on Smart cities - Year-over-year growth 2024-2029 (%)
- 10.5 Automotive - Market size and forecast 2024-2029
- Chart on Automotive - Market size and forecast 2024-2029 ($ billion)
- Data Table on Automotive - Market size and forecast 2024-2029 ($ billion)
- Chart on Automotive - Year-over-year growth 2024-2029 (%)
- Data Table on Automotive - Year-over-year growth 2024-2029 (%)
- 10.6 Market opportunity by Application
- Market opportunity by Application ($ billion)
- Data Table on Market opportunity by Application ($ billion)
11 Customer Landscape
- 11 Customer Landscape
- 11.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
12 Geographic Landscape
- 12 Geographic Landscape
- 12.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 12.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 12.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 12.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 12.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 12.3.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ billion)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ billion)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 12.4 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 12.4.1 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 12.4.2 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 12.4.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 12.4.4 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ billion)
- Data Table on Italy - Market size and forecast 2024-2029 ($ billion)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 12.4.5 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 12.4.6 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ billion)
- Data Table on Spain - Market size and forecast 2024-2029 ($ billion)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 12.5 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 12.5.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 12.5.2 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 12.5.3 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 12.5.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 12.5.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 12.5.6 Indonesia - Market size and forecast 2024-2029
- Chart on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Chart on Indonesia - Year-over-year growth 2024-2029 (%)
- Data Table on Indonesia - Year-over-year growth 2024-2029 (%)
- 12.6 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 12.6.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 12.6.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 12.6.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ billion)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 12.7 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 12.7.1 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 12.7.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 12.7.3 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 12.7.4 Israel - Market size and forecast 2024-2029
- Chart on Israel - Market size and forecast 2024-2029 ($ billion)
- Data Table on Israel - Market size and forecast 2024-2029 ($ billion)
- Chart on Israel - Year-over-year growth 2024-2029 (%)
- Data Table on Israel - Year-over-year growth 2024-2029 (%)
- 12.7.5 Turkey - Market size and forecast 2024-2029
- Chart on Turkey - Market size and forecast 2024-2029 ($ billion)
- Data Table on Turkey - Market size and forecast 2024-2029 ($ billion)
- Chart on Turkey - Year-over-year growth 2024-2029 (%)
- Data Table on Turkey - Year-over-year growth 2024-2029 (%)
- 12.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
13 Drivers, Challenges, and Opportunity
- 13 Drivers, Challenges, and Opportunity
- 13.1 Market drivers
- Proliferation of edge AI devices
- Growing use of edge AI technology in transportation and traffic management
- Eliminates privacy issue of transmitting and storing data in cloud
- 13.2 Market challenges
- Security concerns related to edge AI devices
- High investments required for AI edge computing
- Issues with data quality in AI edge computing
- 13.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 13.4 Market opportunities
- Growing use of AI edge computing to get real-time analytics
- Widespread adoption of cloud and growth of latency-specific applications
- Use of remote monitoring and video analytics in retail sector to understand consumers purchasing behavior
14 Competitive Landscape
- 14 Competitive Landscape
- 14.1 Overview
- 14.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 14.3 Landscape disruption
- Overview on factors of disruption
- 14.4 Industry risks
- Impact of key risks on business
15 Competitive Analysis
- 15 Competitive Analysis
- 15.1 Companies profiled
- 15.2 Company ranking index
- 15.3 Market positioning of companies
- Matrix on companies position and classification
- 15.4 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 15.5 Azion Technologies Inc.
- Azion Technologies Inc. - Overview
- Azion Technologies Inc. - Product / Service
- Azion Technologies Inc. - Key offerings
- SWOT
- 15.6 Cisco Systems Inc.
- Cisco Systems Inc. - Overview
- Cisco Systems Inc. - Business segments
- Cisco Systems Inc. - Key news
- Cisco Systems Inc. - Key offerings
- Cisco Systems Inc. - Segment focus
- SWOT
- 15.7 ClearBlade Inc.
- ClearBlade Inc. - Overview
- ClearBlade Inc. - Product / Service
- ClearBlade Inc. - Key offerings
- SWOT
- 15.8 Hewlett Packard Enterprise Co.
- Hewlett Packard Enterprise Co. - Overview
- Hewlett Packard Enterprise Co. - Business segments
- Hewlett Packard Enterprise Co. - Key news
- Hewlett Packard Enterprise Co. - Key offerings
- Hewlett Packard Enterprise Co. - Segment focus
- SWOT
- 15.9 Huawei Technologies Co. Ltd.
- Huawei Technologies Co. Ltd. - Overview
- Huawei Technologies Co. Ltd. - Product / Service
- Huawei Technologies Co. Ltd. - Key news
- Huawei Technologies Co. Ltd. - Key offerings
- SWOT
- 15.10 Intel Corp.
- Intel Corp. - Overview
- Intel Corp. - Business segments
- Intel Corp. - Key news
- Intel Corp. - Key offerings
- Intel Corp. - Segment focus
- SWOT
- 15.11 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 15.12 Johnson Controls International Plc
- Johnson Controls International Plc - Overview
- Johnson Controls International Plc - Business segments
- Johnson Controls International Plc - Key news
- Johnson Controls International Plc - Key offerings
- Johnson Controls International Plc - Segment focus
- SWOT
- 15.13 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 15.14 Nutanix Inc.
- Nutanix Inc. - Overview
- Nutanix Inc. - Product / Service
- Nutanix Inc. - Key offerings
- SWOT
- 15.15 Rigado Inc.
- Rigado Inc. - Overview
- Rigado Inc. - Product / Service
- Rigado Inc. - Key offerings
- SWOT
- 15.16 SAGUNA Network LTD.
- SAGUNA Network LTD. - Overview
- SAGUNA Network LTD. - Product / Service
- SAGUNA Network LTD. - Key offerings
- SWOT
- 15.17 Synaptics Inc.
- Synaptics Inc. - Overview
- Synaptics Inc. - Product / Service
- Synaptics Inc. - Key offerings
- SWOT
- 15.18 Vapor IO Inc.
- Vapor IO Inc. - Overview
- Vapor IO Inc. - Product / Service
- Vapor IO Inc. - Key offerings
- SWOT
16 Appendix
- 16 Appendix
- 16.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 16.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 16.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 16.4 Research methodology
- 16.5 Data procurement
- 16.6 Data validation
- 16.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 16.8 Data synthesis
- 16.9 360 degree market analysis
- 360 degree market analysis
- 16.10 List of abbreviations