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The APAC network security market saw a healthy YoY growth of 19.7% in Q1 2021, indicating a strong recovery from the YoY decline of 7.3% Q1 2020 as a result of the COVID-19 pandemic. The network firewall segment remained the biggest technology segment and is likely to continue driving the overall network security market. Though 2020 saw a spike...

09 Jun 2025  |  Global  |  Technology Research

Emerging AI Trends in the Renewable Energy Industry

AI Developments are Transforming the Renewable Energy Industry

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Growing environmental concerns have intensified the focus on renewable energy. Organizations are making a conscious effort to adopt renewable sources, leading to rapid growth—a trend that is expected to continue. Stakeholders are increasingly turning to artificial intelligence (AI) to enhance both the generation and utilization of renewable energy....

13 May 2025  |  Global  |  Technology Research

Technological Advances in Edge AI Transforming Industry 4.0

Data Privacy and Low-cost Optimization are Driving Growth

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Edge AI has seen significant growth in recent years due to the growing demand for AI-enabled solutions in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. It can be used in a wide range of applications at various levels and is a key contributor to the adoption of Industry 4.0-based automati...

29 Jul 2015  |  Global  |  Market Research

Vulnerability Management (VM) - Global Market Analysis

The Plan Beyond the Scan

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Vulnerability management (VM) is a perimeter based cyber defense that scans network infrastructures and identifies and prioritizes critical security issues. IP scanning is a foundational network security approach; however, the leading VM vendors are adding endpoint visibility, network mapping, web application scanning, and continuous monitoring to ...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...