Generative Artificial Intelligence (Gen AI) radically changes how supply chain leaders manage operations. Gen AI’s ability to analyze vast datasets and identify patterns enables organizations to accurately forecast future demand, automate document generation, and pinpoint logistical bottlenecks. Moreover, Gen AI tools allow supply chain managers to simulate specific scenarios so that they are prepared for unforeseen events (e.g., natural disasters, geopolitical tension, etc.).
The manufacturing industry is in the midst of a transformative period. Technological advancements are enabling unprecedented operational efficiencies and revealing previously hidden revenue opportunities. At the same time, manufacturers must contend with the baby boomer exodus, curb rising cyberthreats, and meet climate regulations.
The year 2024 provided numerous technology trends shaping the future of nearly every industry. ABI Research analysts have been covering these developments for some time, and now it’s time to reflect upon our studies in our annual trends whitepaper. Before we dive into the list, here’s a statement from Stuart Carlaw, Chief Research Officer:
The Delaware jury's decision in favor of Qualcomm marks a pivotal moment in semiconductor industry licensing practices. Several key elements drove this outcome. Technical testimony proved crucial, particularly Dr. Annavaram's clear distinction between architecture licensing and implementation, showing only 1% commonality between Arm RTL and actual implementations. This technical clarity helped separate Arm's legitimate Intellectual Property (IP) rights from overreach in claiming ownership of independently developed innovations. The evidence of Qualcomm's substantial investment—US$1.4 billion for the NUVIA acquisition and maintaining a 300-strong engineering team—demonstrated genuine independent development, rather than mere IP exploitation.
Artificial intelligence (AI) is rapidly transforming industries through generative models, predictive analytics, intelligent automation, and real-time decision-making. As machine learning (ML) algorithms, cloud infrastructure, and AI chipsets advance, 2025 promises to be a pivotal year for artificial intelligence adoption. Drawing from ABI Research insights, this blog highlights the top eight AI trends, including the rise of Agentic AI and the continued evolution of AI-powered hardware, wearables, enterprise solutions, and more.
U.K.-based semiconductor Intellectual Property (IP) house Imagination Technologies recently made the headlines for securing a US$100 million investment to bolster the development of its edge Artificial Intelligence (AI) portfolio. The company has an illustrious legacy, once claiming the top position in Graphics Processing Unit (GPU) innovation, ahead of NVIDIA. In the early days of mobile platforms, Imagination’s footprint was immense: PowerVR IP was in a range of Apple products, including the first iPhone in 2007, MediaTek Systems-on-Chip (SoCs), gaming consoles, automotive systems, and more. By 2008, PowerVR graphics had been shipped in more than 100 million consumer devices, reaching 1 billion by 2013.
Recent report findings from ABI Research suggest the Generative Artificial Intelligence (Gen AI) software market is on a rapid growth trajectory with high expectations for both hardware and software. Our most recent forecasts project the Gen AI software market size to increase from US$63billion in 2025 to nearly US$220 billion by 2030.
The International Manufacturing Technology Show (IMTS) 2024 marked another milestone in innovation, with exhibitors showcasing advancements across robotics, Artificial Intelligence (AI), data integration, cloud computing, and more. The usual big names were there to show the world what they’ve been up to, but they were accompanied by smaller startups hoping to make a big splash. The technological breakthroughs on display in Chicago this year embody the innovative spirit the manufacturing industry requires to address an aging workforce, increased demand, and supply chain complexities.
Working in a competitive industry demands that you become a data-driven organization. As a technology solution provider, effectively leveraging data can unlock significant advantages, such as driving market expansion and fostering innovation. Unfortunately, all too many companies lack an analytical approach to decision-making.
Generative Artificial Intelligence (Gen AI) is no longer a futuristic concept—it's here, and enterprises are quickly realizing its transformative potential. But implementing such a powerful tool isn't without its complexities. According to ABI Research, a leading technology research firm, the Gen AI software market is projected to grow from US$10.45 billion in 2023 to over US$176 billion by 2030, driven by its applications in diverse sectors.