The "Artificial Intelligence (AI)-Driven Smart Grid Intrusion Detection Market Report 2025" has been added to ResearchAndMarkets.com's offering. The AI-driven smart grid intrusion detection market is ...

DUBLIN: The "Artificial Intelligence (AI)-Driven Smart Grid Intrusion Detection Market Report 2025" has been added to ResearchAndMarkets.com's offering.
The AI-driven smart grid intrusion detection market is witnessing considerable growth, projected to surge from $1.76 billion in 2024 to $2.11 billion in 2025, maintaining a robust CAGR of 19.9%. Key growth drivers in the past included a rise in cyberattacks on power infrastructures, increased adoption of smart grids, regulatory emphasis on infrastructure protection, heightened energy security awareness, and the privatization of power utilities.
Looking ahead, the market is anticipated to expand dramatically, reaching $4.3 billion by 2029, with a projected CAGR of 19.5%. This growth is fueled by the expansion of renewable energy sources, integration of IoT and connected devices, increasing grid modernization investments, stringent compliance mandates, and a thriving demand due to urbanization. Major trends include the shift to real-time threat detection, adoption of edge computing, blockchain incorporation for data integrity, usage of digital twins for grid management, and enhanced collaborations between utilities and cybersecurity entities.
Cybersecurity threats are expected to propel market growth significantly as AI-driven smart grid intrusion detection systems play a crucial role in safeguarding against these threats. For instance, the Australian Signals Directorate reported a 23% increase in cybercrime during the 2022-23 financial year. This increase underscores the growing necessity for effective threat detection systems that can monitor and address system anomalies in real time.
The market's growth is also augmented by a rise in connected devices, showcasing advances in communication technologies facilitating seamless data exchanges. This increase provides fertile ground for AI-driven systems to monitor network activities and ensure secure operations. According to BuildOps Inc., IoT connected devices grew by 25% from 2021 to 2022 and by 28% the following year, underscoring the significance of robust security measures.
Moreover, rising energy demand is fueling market expansion. With increasing population growth comes heightened electricity consumption, necessitating AI-driven smart grid systems to manage and protect the complexity of modern power grids. Statistics Canada highlighted a 3.9% rise in Canada's energy production in 2022, further signifying the demand that supports market growth.
Leading companies like Siemens Energy AG, Hitachi Energy Ltd., IBM Corporation, Cisco Systems Inc., and ABB Ltd. are at the forefront of this burgeoning industry. While North America stands as the largest regional market, Asia-Pacific is set to be the fastest-growing region. The market outlook faces potential shifts due to rapidly changing trade relations and tariffs, particularly impacting utilities like power generation and renewable energy projects, driving up costs for imported equipment such as turbines and solar panels. Hence, the sector must prioritize domestic sourcing and innovative solutions to manage costs while ensuring energy security.
The AI-driven smart grid intrusion detection market report provides comprehensive insights, revealing trends, opportunities, and strategic directions for stakeholders navigating this dynamic industry landscape, covering various regions from Asia-Pacific to North America.
Report Scope:
Markets Covered:
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Key Attributes:
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| Report Attribute | Details |
| No. of Pages | 250 |
| Forecast Period | 2025 - 2029 |
| Estimated Market Value (USD) in 2025 | $2.11 Billion |
| Forecasted Market Value (USD) by 2029 | $4.3 Billion |
| Compound Annual Growth Rate | 19.5% |
| Regions Covered | Global |
Companies Featured
For more information about this report visit https://www.researchandmarkets.com/r/dlpvdf
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Fonte: Business Wire
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