As we inch closer to the post-quantum era, the need for robust cybersecurity measures has never been more critical. It won’t be long before cybercriminals have access to quantum computers, enabling them to launch far more sophisticated and devastating attacks than what legacy systems can do. ABI Research’s Quantum-Safe Technologies Research Service serves an essential role in keeping sensitive data resistant to quantum-based cyberattacks. It provides essential insights and guidance to cybersecurity solution providers and key stakeholders, including telecommunications companies, Network Equipment Providers (NEPs), semiconductor manufacturers, Original Equipment Manufacturers (OEMs), and government entities.
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.
5G New Radio (NR) Reduced Capability (RedCap) will revolutionize cellular connectivity by simplifying and lowering the cost of 5G for Internet of Things (IoT) devices. The technology was finalized in The Third Generation Partnership Project’s (3GPP) Release 17 (R17). It is designed to facilitate a smooth 5G migration path for power-constrained devices currently using Long Term Evolution (LTE) Cat-4 and LTE Cat-6.
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. Principal Analyst Reece Hayden projects Gen AI’s software market size to increase from a modest US$10.45 billion in 2023 to over US$176 billion by 2030. This dramatic expansion, forecast at a Compound Annual Growth Rate (CAGR) of nearly 50%, demonstrates the market’s bullish expectations for the transformative power of Gen AI across industries and global markets.
$176 billion in Gen AI software revenue by 2030.
56% CAGR in China for Gen AI solutions, the highest worldwide.
25Xincrease in on-device AI revenue between 2024 and 2030.
$434 billionenterprise value-added from Gen AI.
33% of Gen AI value creation to reside in retail/e-commerce.
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.
Managing a cold chain requires precision, real-time data, and reliable technology to ensure that temperature-sensitive products—whether food, pharmaceuticals, or chemicals—are transported without compromising their integrity. As supply chain managers seek advanced cold chain monitoring solutions, understanding the critical innovation criteria is essential for making the right choice.
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.
Enterprise data fabric is gaining significant attention in today’s digitally-driven world as enterprises require a holistic approach to data storage and integration. As enterprises introduce more technologies to their operations, their data generation will continue to increase. This makes collating, storing, and contextualizing data more challenging. An enterprise data fabric unifies data across departments and business units, enabling users to draw connections that would otherwise go unnoticed.
As the manufacturing landscape continues to evolve, companies are increasingly looking toward technology to bolster their operations and overcome emerging challenges. To better understand the attitudes, adoption rates, and pain points manufacturers have regarding technology, ABI Research conducted The State of Technology in the Manufacturing Industry survey.
