The reports consist of growth projections, revenue, share, and niche segments. Your company will soon face attackers armed with quantum technology. The platform’s analytical insights continuously improve as more farmers join and share data. One example of a traditional business taking advantage of tech platforms is John Deere. OnStar, which comes standard in most GM vehicles, transmits telematics data to the cloud for real-time analysis.

When LLMs Get Their Bodies: How foundation models reinvent robotics

• Of executives report establishing or maintaining a consistent personality will be important or very important to their customer-facing AI agents over the next 3 years.
• Preparing for the quantum era will likely drive tech companies to adopt quantum-resistant cryptography to safeguard sensitive data from potential quantum attacks, and spending on that is expected to quadruple in 2025 over 2023 levels.31
• Learn about all the latest developments, and what businesses should be thinking about when planning their next moves, from the 2025 Insight Trends Report.
• Customized solutions, expert guidance, and cutting-edge technologies to optimize manufacturing processes, improve productivity, and drive operational excellence.
• The demand for advanced battery technologies is increasing as the world transitions to electric mobility and renewable energy.
• We continue our focus on growth, providing more value to industry professionals through the TechInsights Platform – the platform housing all our content, and the information platform for the semiconductor industry.

These solutions also offer more flexibility for customization, enabling organizations to customize the system to their specific needs. By automating routine tasks, LLMs enable human agents to focus on more complex customer needs, ultimately enhancing the overall quality of service delivery. Consequently, companies can offer seamless and interactive experiences, improving customer engagement and satisfaction.

Access our Technology Industry Outlook 2026 report

We wish to thank Duncan https://cyberpress.biz/ Stewart, Jeff Loucks, and Paul Lee, plus the entire team, for their work on the TMT Predictions report. Over his career as a consultant he has worked on numerous projects for international clients – covering corporate strategies, M&A strategy, commercial due diligence, marketing & sales strategies/go-to-market strategies and large scale corporate transformations. Gillian is passionate about working with organizations that are not just transforming themselves but are transforming our world. Gillian Crossan is the Global Technology, Media & Telecommunications industry (TMT) leader. Deloitte predicts that in 2026, mobile operator reward schemes may matter to consumers in developed markets as much as—or even more than—network performance.

These investments and technological expertise help these vendors position themselves as market leaders. Thus, these factors promise to accelerate the growth of this industry across the globe in the coming years. Therefore, the adoption of AI assistance for human agents is driving the artificial intelligence market share worldwide.

Core Technologies Connected to Space Exploration

AI keeps developing daily; for instance, the ongoing trend of generative AI has pushed companies to invest in and develop AI tools. Additionally, numerous software tools are employed to leverage hardware capabilities and enhance resource management and code efficiency, thus boosting the overall performance of software applications. This reduces reliance on hiring specialists and speeds up development and time-to-market.

Demand for AI solutions is increasing as AI software plays a critical role in the entire AI workflow process. As Quantum AI continues to evolve, it will catalyze innovation and progress in areas that were previously limited by traditional processing power. Thus, the increasing popularity of AI supercomputers being offered as a service is expected to create lucrative opportunities for the key vendors operating in the AI market.

Even if users start doing a lot more with creating, consuming, and sharing gen AI video in real time (requiring much larger file transmission and lower latency), the majority of devices (smartphones, PCs, wearables, or Internet of Things (IoT) devices in factories and ports) are expected to soon have onboard gen AI processing chips.26 These gen accelerators, combined with emerging smaller language AI models, may mean that network connectivity is less of an issue. These connect (for example) a hyperscaler’s data centers across a region or continent, or even stretch along the seabed, connecting data centers across continents.19 Sometimes these new fiber networks are being built to support sovereign AI—that is, the need to keep all the AI data inside a given country or region. And shouldn’t telcos, whose business is all about connectivity, be able to profit in some way? Some are building new gen AI data centers to sell training and inference to others.