Top 10 Tech Trends for 2025
Introduction
The year is coming to a close, and everyone is sharing their picks for the emerging tech trends that will shape 2025. We’ve decided to join the conversation on the latest technological innovations. Using the collective expertise of our seasoned tech recruiters and other industry experts on our team, we’ve laid out our own list of the top ten tech trends that will take (or keep) the stage in 2025.
1. Agentic AI and Conversational AI
Dubbed by McKinsey as the next frontier for businesses, agentic AI technology enables bots to plan and achieve goals set by the user. According to a prediction from Gartner, one-third of all interactions with GenAI services will use AI automation agents by 2028. One process that will be supercharged by agentic AI is automated calling for businesses. More and more, companies will use AI outreach to schedule appointments, connect with business leads, and recruit job candidates — all without being initiated by a human.
[PTP’s new platform Pete & Gabi leverages agentic and conversational AI for automatic outreach. Follow the official page on LinkedIn.]
2. Closing Cybersecurity Skills Gaps
According to CompTIA’s 2025 State of Cybersecurity report, the biggest factor impacting cybersecurity initiatives is the gap in skills, with automation/AI skills in the most need of improvement, followed by knowledge of threat landscape, and data security. As emerging technology like AI and quantum computing empower cyber criminals, companies need to empower themselves with multiple layers of protection across all tech functions, essentially making cybersecurity a key component of organizational culture.
[Learn which cybersecurity roles companies should fill in 2025 in this PTP Report.]
[Does your team need skilled cybersecurity pros? PTP can match you with the best.]
3. Digital Twins
What started as a method used by NASA to improve spacecraft simulation is now expected to open doors for improved strategic decision-making. Deloitte has identified two newer use cases that will play a role: “Scenario Builder” models and “Strategic Sandbox” simulations. The former simulates internal company factors to plan for various futures and assess the potential impact of choices, like pricing strategies; the latter simulates high-level strategic decisions, such as mergers or capital allocation, in open environments with greater uncertainty.
4. The Quest for AGI
OpenAI CEO Sam Altman claims that AGI is coming in 2025. What does this mean exactly? According to OpenAI, AGI will be achieved when AI models can do the work of an entire organization — able to excel in reasoning, carrying out tasks independently, and creating and implementing new ideas. While “AGI in 2025” may sound out of this world, the reality is that it will likely be a gradual process, like how AI has improved over time and eventually became integrated with everyday tasks.
5. Disinformation Security
As AI empowers malicious actors to create convincing deepfakes, fake news sites, phishing strategies, and other disinformation, experts call upon the same technology to prevent it. In progress are AI-powered platforms that identify and counter disinformation across social media, with Gartner reporting that, by 2028, 50% of businesses will adopt products, services, or features that address disinformation security, up from less than 5% in 2024.
6. Scaled Agile Framework (SAFe) for Large-Scale Agile Transformation
Agile frameworks have gained widespread popularity across industries for their ability to foster adaptability, collaboration, and faster delivery in dynamic environments. Building on this foundation, scaled Agile frameworks allow organizations to implement Agile practices across entire organizations. Large enterprises like FedEx have been leading the charge by adopting SAFe to scale their agile frameworks across their global teams.
[Check out this PTP Report on how to harness agility through POD teams.]
7. Next-Gen Software Development Tools
AI-powered code generators and low-code/no-code platforms are transforming how software developers build and maintain applications. In fact, Google already has 25% of all code in new products being written by AI. These tools reduce development time and even allow non-developers to contribute to the software creation process. A major example of this technology in use is GitHub Copilot, which optimizes development by auto-completing lines and suggesting entire blocks of code. Developers will need to upskill in AI to stay in demand in the AI revolution.
8. Quantum Computing and Post-Quantum Cryptography
For years, we’ve heard about the impending arrival of quantum computing. Now the UN is dubbing 2025 the “International Year of Quantum Science and Technology,” according to Forbes. Despite its business potential for sectors like healthcare and data analysis, quantum computing also presents risks, like QC decryption. By 2029, advances in quantum computing will make asymmetric cryptography unsafe and fully breakable by 2034, according to Gartner. As a result, businesses need to begin the shift toward post-quantum cryptography — building a dedicated team to provide the necessary expertise.
9 Ambient Invisible Intelligence
As the name suggests, ambient invisible intelligence creates a digital ecosystem where technology is invisible, working in the background to anticipate and fulfill user needs without explicit human input. Powered by existing technology like AI and IoT, ambient invisible intelligence is already beginning to transform healthcare, retail, and home automation. Of course, organizations will need to address privacy concerns by ensuring robust data protection and offering users the option to disable the technology.
10 Hybrid Cloud Adoption
Using a combination of diverse compute, storage, and network mechanisms, hybrid cloud adoption is transforming computational problem-solving. Its high-speed environments, advanced AI capabilities, and autonomous systems drive automation and personalization at scale. The key to addressing challenges like increased security risks and higher costs will be acquiring talent with specialized skills and enact consistent operations practices across all cloud environments with a common control plane.
Challenges and Risks Surrounding New Tech Trends
Every new development in tech comes with its own challenges and risks. But with the right tools and preparation, businesses and professionals alike can navigate them successfully. It all starts with understanding the newest developments and how they will impact your industry, business, and career.
Let’s explore how business leaders and tech candidates can overcome hurdles to stay competitive amid change.
How Businesses Can Prepare for Emerging Tech Trends
Business leaders will want to leverage these trends to stay innovative and competitive amid rapid change. Specifically, they will want to acquire talent with the right skills, whether technical ones like AI-empowered software tools and cybersecurity or soft ones like adaptability and continuous learning. Recruiting firms can be an invaluable tool for employers, as they offer specialized expertise and existing talent pipelines for high-quality, speedy hires.
Further, AI developments are sure to present barriers related to ethics, data privacy, and adoption. Organizations need to stay on top of AI regulations and prioritize AI transparency to foster trust among stakeholders. This includes telling candidates how AI is used in the hiring process, educating employees on AI regulations, and hiring talent with the latest AI skills.
How IT Candidates Can Stay Competitive Amid Tech Developments
IT professionals will want to step up, equipping future-forward skills and effectively demonstrating them to hiring teams. No matter their area of expertise — infosec, data science, development — professionals will benefit from upskilling in AI. However, generalized AI skills won’t cut it; professionals will need to leverage their understanding of the emerging technology trends of 2025 to tailor their skills to in-demand roles.
Speaking of in-demand roles, tech professionals will also want to consider pivoting into IT roles expected to benefit from the latest shifts in talent needs. For example, cybersecurity professionals are in huge demand, with 78% of businesses naming it a top priority for 2025, according to CompTIA. Other in-demand roles according to Robert Half include business analyst, data engineer, QA analyst, and project manager.
To show employers you are qualified to help their business, consider obtaining in-demand certifications like AI and machine learning, Amazon Web Services (AWS), certified information systems security professional (CISSP), and cloud development.
Conclusion
These top tech trends of 2025 will inform business decisions for the foreseeable future — impacting areas like IT hiring, digital transformation, tech tool investments, and more.
To meet the ever-changing needs of tech employers, leaders will want to partner with the right experts in tech talent acquisition. With over two decades of experience in providing staffing solutions for some of the biggest Fortune 500 companies, PTP provides winning talent for the broad spectrum of IT projects. Using proprietary AI-powered recruiting
technology and an expert team of recruiters, PTP aims to help clients succeed on even the most challenging staffing initiatives.
Learn more about our services, including onshore, nearshore, and offshore recruitment for a wide range of IT projects in development, AI/ML, cybersecurity, cloud computing, DevOps, and more.
And to stay on the cutting edge of future technology trends, subscribe to The PTP Report and never miss an update.
References
Deloitte, New uses for digital twins in the race to navigate an uncertain future
Forbes, The 5 Biggest Technology Trends For 2025 Everyone Must Be Ready For Now
Gartner, Gartner Top 10 Strategic Technology Trends for 2025
McKinsey & Company, Why agents are the next frontier of generative AI
PC Mag, AI Now Writes Over 25% of Code at Google
Robert Half, 2025 Tech and IT Salary Guide
Tom’s Guide, Sam Altman claims AGI is coming in 2025 and machines will be able to ‘think like humans’ when it happens
Source: PTechPartners.com
