
The managed service provider (MSP) market has surpassed $305 billion and is projected to reach $571 billion by 2033, indicating a strong trend toward consolidation within the sector. In the second quarter of 2025 alone, there were 92 announced mergers and acquisitions, as companies aim to enhance their cybersecurity capabilities and automate operations. Key areas of focus for leading MSPs include operations, talent, security, automation, and compliance, which are essential for navigating the current landscape. Notable transactions include Comcast's acquisition of Nitell and Telus Digital's acquisition of Garrent.
Research indicates that while artificial intelligence (AI) investments are expected to rise, particularly in telecommunications for predictive maintenance and network optimization, many AI projects struggle to scale effectively. A recent study from the Remote Labor Index found that top AI models completed less than 3% of assigned freelance tasks, highlighting a gap between expectations and actual performance. Additionally, a report from Fortinet revealed that 87% of cybersecurity professionals believe AI will enhance their roles, yet a significant skills gap persists, with over 4.7 million positions unfilled globally.
Further developments include Intuit's launch of its AI-driven system, Intuit Intelligence, designed to streamline decision-making for small business owners, and Adobe's introduction of Firefly Foundry, which offers customized generative AI models for branding. Service Leadership has also released a new benchmarking tool aimed at smaller IT solution providers, enhancing their financial reporting capabilities. These initiatives reflect a growing trend of embedding AI into everyday business tools, which MSPs must navigate.
For MSPs and IT service leaders, the implications are clear: the market is maturing rapidly, and providers must adapt by tightening operations, investing in automation, and prioritizing compliance. As AI becomes increasingly integrated into existing systems, MSPs should conduct audits to identify where AI is already active and establish governance frameworks to manage these technologies effectively. The focus should be on leveraging AI to enhance service delivery while ensuring that human oversight remains a critical component of technology management.
Three things to know today
05:28 AI’s Promise Meets Its Limits: Reports Expose Gaps in Skills, Safety, and Real-World Capability
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