As the software landscape continues to evolve, G2’s Market Research team is continuously researching, evaluating, and creating new categories that reflect emerging trends and evolving buyer needs.
The two new categories launched this month will help provide a clearer path for buyers researching new security and software development tools that leverage AI. Continue reading as Brandon Summers-Miller and Adam Crivello, two of G2’s expert Research Analysts, provide additional insights around these emerging B2B markets.
1. Autonomous Endpoint Management (EAM)
About this category: Autonomous Endpoint Management (AEM) software leverages AI to perform the traditional functions of endpoint management. This includes asset management, patch management, and compliance evaluation, albeit autonomously. InfoSec and IT professionals often oversee these tools’ performances and have ultimate decision-making authority, but the technology itself lightens the load on endpoint management within their entire security ecosystem.
Why it was Introduced: “One of the greatest challenges in any security program remains endpoint management, as the sheer number of disparate endpoints creates numerous opportunities for security perimeters to be compromised. The AEM category allows software buyers to finally find a consolidated space of products that properly automate the various essential functions of endpoint management in the age of AI while empowering security professionals to remain in control of their security ecosystems.”
– Brandon Summers-Miller, Sr. Research Analyst for Data Privacy and Cybersecurity Software
The top 3 products in this category, ranked by popularity at the time of launch, are:
2. AI Software Testing
About this category: AI software testing tools is the latest G2 category to emerge from the rapidly evolving landscape of AI code generation technologies. They modernize test automation, allowing QA teams and developers to generate, execute, and maintain tests using natural language prompts.
Why it was introduced: "Traditional test automation requires engineers to manually write and constantly maintain test scripts. AI Software Testing Tools fundamentally change this by using AI to both generate and automatically adjust tests as the application evolves. This capability reduces maintenance overhead and accelerates release cycles for teams using dedicated tools from vendors like testRigor, Mabl, and Testsigma, and is an emerging feature in broader testing platforms like Browserstack and LambdaTest."
- Adam Crivello, Research Principal for Software Development
The top 3 products in this category, ranked by popularity at the time of launch, are:
There's always something new on G2!
On average, G2’s Market Research team adds 5-10 new categories per month, so we encourage you to review our research agenda and utilize the all new G2.ai to leave a voice review on the software you recommend!
Come back next month to see additional new categories on G2! And, check out the new categories that went live last month.