AI in Edge Computing Market
Market Size and Growth:
The Global AI in Edge Computing Market size reached US$ 16.54 billion in 2024 and is expected to reach US$ 83.86 billion by 2032, growing with a CAGR of 22.50% during the forecast period 2025-2032.
The AI in Edge Computing Market report by DataM Intelligence provides insights into the latest trends and developments in the market. This report identifies the key growth opportunities in the market and provides recommendations for market participants to capitalize on these opportunities. Overall, the AI in Edge Computing market report is an essential resource for market participants who are looking to gain a comprehensive understanding of the market and identify opportunities for growth.
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The AI in Edge Computing Market refers to the integration of artificial intelligence technologies with edge computing infrastructure, enabling data processing closer to the source. This approach reduces latency, enhances real-time decision-making, improves security, and optimizes bandwidth usage. It is increasingly adopted across industries such as healthcare, automotive, manufacturing, and telecommunications for intelligent, faster, and efficient operations.
Recent Key Developments of United States (U.S):
Rise of Generative AI and Autonomous Agents at the Edge: There is a growing focus on deploying smaller, more efficient AI models, including generative AI and autonomous agents, directly onto edge devices. This shift allows for on-device decision-making with minimal human oversight and a significant reduction in reliance on centralized cloud infrastructure.
Increased Investment in Domestic Chip Production: To alleviate supply chain bottlenecks and geopolitical risks, there is a ramp-up in domestic semiconductor production in the U.S. This directly supports the AI in edge computing market by providing a more stable and localized supply of the specialized processors and accelerators needed for edge devices.
Maturation of Industrial AI and its Tangible ROI: The industrial sector in the U.S. is moving beyond pilot projects and is seeing tangible returns on investment from large-scale AI in edge computing deployments. Use cases like predictive maintenance, automated optical inspection, and worker safety are becoming standard.
Integration of AI with 5G for Real-Time Processing: The widespread rollout of 5G networks is proving to be a critical enabler for AI in edge computing. The combination of 5G’s low latency and high bandwidth with on-device AI processing is facilitating real-time data analysis for applications in smart cities, autonomous vehicles, and industrial automation.
Focus on Hybrid Edge-Cloud Architectures: Rather than a complete shift from cloud to edge, the market is seeing an emphasis on hybrid models. Companies are balancing the need for massive, centralized AI model training in the cloud with the efficiency and security of deploying inference and specialized AI tools at the edge. This strategy allows for both scalability and localized control.
Key Players:
NVIDIA
Amazon Web Services, Inc.
Arctic Wolf Networks Inc.
Tata Consultancy Services
Microsoft Corporation
Infosys
IBM Corporation
Intel Corporation
Cisco Systems, Inc.
Nokia.
This Report Covers:
✔ Go-to-market Strategy.
✔ Neutral perspective on the market performance.
✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.
✔Customized regional/country reports as per request and country level analysis.
✔ Potential & niche segments and regions exhibiting promising growth covered.
✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).
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Market Segmentation:
By Component: Software, Solutions, Services.
By Deployment Type: On-premises, Cloud-based.
By Organization Size: Small, Medium, Large Sized Enterprises.
By Technology: Machine Learning, Natural Language Processing (NLP), Context-aware computing, Others.
By Application: IIoT, Remote Monitoring, Content Delivery, Video Analytics, AR&VR, Others.
By End-Use Industry: Banking, Financial Services and Insurance, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, Others.
Regional Analysis:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
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Chapter Outline
⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in Edge Computing market segments, study objectives, and years considered.
⏩ Market Landscape: The competition in the Global AI in Edge Computing Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.
⏩ Companies Profiles: The global AI in Edge Computing market’s leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.
⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.
⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in Edge Computing Market.
⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.
⏩ Research Findings: This section of the report showcases the findings and analysis of the report.
⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.
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