updated Edge Computing / Edge AI article

Author: obx-vivien

docs/edge-computing-edge-ai-local-ai-marketanalysis.mdx

@@ -35,36 +35,34 @@ image: /img/social/is-edge-computing-dead.jpg
 import Head from '@docusaurus/Head';
 
 # Is Edge Computing dead?
-#### State of the Edge 2025: An Analytical Review of Edge Computing market with primary focus on Edge AI (On-Device AI) and the critical role of vector databases
+**State of the Edge 2025: An Analytical Review of Edge Computing market with primary focus on Edge AI (On-Device AI) and the critical role of vector databases**
 
 ## AI is boosting the edge
 
-[Edge AI](https://objectbox.io/empowering-edge-ai-the-critical-role-of-databases/) represents a critical paradigm for modern applications, and on-device vector databases are an indispensable component of the enabling technology stack.
+[Edge AI](https://objectbox.io/empowering-edge-ai-the-critical-role-of-databases/) represents a critical paradigm for modern applications, and [on-device vector databases](https://objectbox.io/the-first-on-device-vector-database-objectbox-4-0/), such as ObjectBox, are an indispensable component of the enabling technology stack.
 The core drivers for Edge AI - enhanced privacy, superior reliability, real-time speed, and improved sustainability - have not only remained relevant but have been significantly amplified by recent technological advancements and evolving market dynamics.
 :::info Market Growth Acceleration
 The 2025 landscape is marked by several critical inflection points that update the perspective on Edge Computing from early 2024. First, market growth forecasts for both Edge Computing and - most notably - Edge AI have been substantially revised upwards.
 A synthesis of data from leading analyst firms indicates a consensus on hyper-growth, with the combined market projected to exceed $380 billion by 2028. This accelerated trajectory outpaces earlier, more conservative estimates.
 :::
 
-Second, the emergence of "Agentic AI" as a dominant technological trend represents the most significant strategic shift.
+At the same time, the emergence of "Agentic AI" as a dominant technological trend represents another significant market shift.
 Defined as autonomous systems capable of planning and executing complex, multi-step tasks, Agentic AI is highlighted by both Gartner and McKinsey as a top trend for 2025. [[Gartner Source]](https://www.gartner.com/en/articles/intelligent-agent-in-ai), [[McKinsey Source 1]](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-top-trends-in-tech), [[McKinsey Source 2]](https://dhinsights.org/news/mckinseys-2025-tech-trends-report-finds-healthcare-caught-between-ai-promise-and-perils) This leap from generative to autonomous capabilities fundamentally increases the demand for sophisticated on-device processing and the "long-term memory" function that vector databases uniquely provide.
 The need for real-time, context-aware decision-making in the physical world makes the edge the only viable deployment environment for these advanced systems.
-:::warning GenAI Market Maturation
-Third, the broader Generative AI market is entering a new phase of maturity.
+
+On top, the broader Generative AI market is entering a new phase of maturity.
 Gartner's placement of GenAI in the "Trough of Disillusionment" signals a crucial transition away from speculative hype toward strategic, long-term enterprise investment in foundational infrastructure.
-[[Procurement Magazine]](https://procurementmag.com/technology-and-ai/gartner-forecasting-huge-growth-for-it-2025), [[TechRepublic]](https://www.techrepublic.com/article/news-gartner-ai-predictions-2028/) This phase is characterized by a focus on practical applications, measurable ROI, and the development of a robust technology stack, including specialized edge hardware and software, which validates the business case for powerful on-device solutions.
-:::
+[[Procurement Magazine]](https://procurementmag.com/technology-and-ai/gartner-forecasting-huge-growth-for-it-2025), [[TechRepublic]](https://www.techrepublic.com/article/news-gartner-ai-predictions-2028/)
 
 Finally, the technical complexity of deploying and managing AI on resource-constrained devices has become more pronounced.
 This challenge is driving a significant market shift, with IDC forecasting that enterprise spending on edge-related services will surpass hardware spending by 2028, as organizations grapple with the complexities of integration, management, and security in distributed environments.
 :::tip Strategic Imperative
-The convergence of these trends—market acceleration, the rise of autonomous agents, GenAI maturation, and the growing complexity challenge—creates a powerful and urgent business case for a robust on-device AI stack.
-For organizations to capitalize on the next wave of artificial intelligence, particularly the transformative potential of agentic systems, investment in on-device vector data management is no longer an optional consideration but a strategic imperative for future competitiveness.
+The convergence of these trends - market acceleration, the rise of autonomous agents, GenAI maturation, and the growing complexity challenge - creates a powerful business case for a robust on-device AI stack.
+For organizations to capitalize on the next wave of AI, particularly the transformative potential of agentic systems, investment in on-device vector data management is no longer an optional consideration but a strategic imperative for future competitiveness.
 :::
 
 ## The Strategic Imperative of Edge AI: A 2025 Validation
 
-The fundamental value propositions of Edge AI, as articulated in 
 ### Real-time Performance and Reliability: From Low Latency to Autonomous Action
 
 The assertion that on-device processing is "significantly faster" and empowers "real-time decision making" remains a primary driver for edge adoption.