Digital Lifescapes

Legacy search engine marketing best practices are vulnerable. Why now? Generative AI (GenAI) capabilities are being rapidly adopted for technology sector marketing efficiency gains. To prepare for more shifts beyond their direct control, tech product marketers must address disruptions in key marketing channels, engagement approaches, and required investments. The savvy business-to-business (B2B) CMOs are already piloting and deploying GenAI tools. GenAI Tools B2B Market Development By 2026, traditional search engine volume will drop by 25 percent, with search marketing losing market share to AI chatbots and other virtual agents, according to the latest market study by Gartner.  "Organic and Paid Search are vital channels for tech marketers seeking to reach awareness and demand generation goals," said Alan Antin, vice president at Gartner . Now GenAI solutions are becoming substitute answer engines, replacing user queries that previously may have been executed in traditional

Mobile communications applications continue to evolve in response to new technology use cases. Telecom service providers and software vendors are now exploring applications for Artificial Intelligence (AI) capabilities. Generative AI (GenAI) is a type of artificial intelligence that can create new content, such as text, images, audio, and video assets. Applications of GenAI within the communications sector include generating personalized messages for each customer, chatbots that can answer customer queries, and creating targeted marketing campaigns to generate leads and sales for brands and enterprises. Telecom GenAI Market Development According to the latest worldwide market study by Juniper Research, enterprise spending on GenAI over mobile messaging channels will grow by 1,250 percent over the next four years -- that's from $830 million in 2024. Juniper predicts that the ability to automate the personalization of content, including marketing efforts and customer interactions ov

The global marketing and sales landscape is evolving rapidly. New business technology is a game-changer, promising to automate tedious tasks and unlock new levels of optimization. But is the market truly ready to embrace this technology? IDC predicts that by 2026, half of medium-sized businesses in the Asia-Pacific region excluding Japan (APEJ) will be using Generative AI (GenAI) based applications to automate and optimize marketing and sales processes. According to their latest worldwide market study, 47 percent of the midmarket segment in APEJ is already either exploring potential use cases or investing in GenAI tools. SMB Generative AI Market Development Also, 43 percent of companies in the midmarket segment anticipate that the technology will have the most impact on commercial marketing applications. Small and Medium-Sized Businesses (SMBs) and midmarket segments in APEJ have taken notice of the GenAI potential to revolutionize workflow in various industries. However, companies ar

Artificial intelligence (AI) is accelerating cloud-enabled transformation, but what if its true power lies at the network edge? Edge AI workloads, where processing happens on local devices, enable real-time decision-making, reduced latency, and enhanced privacy. From smart factories predicting equipment failure to autonomous vehicles analyzing road hazards, this is the exciting world of Edge AI. Explore the opportunities and challenges of running AI workloads at the edge, and discover how it's shaping the future of IT apps. Edge AI Market Development Reduced Instruction Set Computing (RISC)-V processor architectures are starting to address Edge AI workloads, and this trend is set to continue throughout the decade. According to the latest worldwide market study by ABI Research, while RISC-V's penetration into AI workloads is only just beginning, growth will be steady throughout the decade, pushing RISC-V chip shipments in Edge AI (excluding TinyML) to 129 million by 2030. "

The exponential growth of Artificial Intelligence (AI) applications will create demand for new devices that are purposely enabled and enhanced to deliver superior end-user experiences. Worldwide shipments of AI PCs and Generative AI (GenAI) smartphones are projected to total 295 million units by the end of 2024 -- that's up from 29 million units in 2023, according to the latest global market study by Gartner. Gartner defines AI PCs as devices equipped with dedicated AI accelerators or cores, neural processing units (NPUs), accelerated processing units (APUs), or tensor processing units (TPUs), designed to optimize and accelerate AI tasks on the device. GenAI-Enabled Device Market Development This new device platform provides improved performance and efficiency in handling AI and GenAI workloads without relying on external on-prem servers or public cloud services. GenAI smartphones are designed and equipped with hardware and software capabilities that enable integration and efficie

The evolution of business payments has lagged when compared to the pace of new adoption methods in other segments, marked by a gradual transformation to electronic payments, such as bank wire transfers like ACH and EFT payments. Advancements in globalization and eCommerce, accompanied by the legislation to regulate transactions and protect transacting parties, and the improvement of domestic and cross-border payment rails, have contributed to the uptake of new methods. Business Payment Market Development According to the latest worldwide market study from Juniper Research, the value of business-to-business (B2B) payments will grow by 40 percent in 2028 -- that's up from $89 trillion in 2024, due to digital payment adoption in developing markets. Instant payments will revolutionize B2B payments by enabling cheaper and more secure international trade, with instant payments reaching 42 percent of all cross-border payments by 2028, at $16 trillion -- up from just 17 percent in 2024, at

Across the globe, senior executive interest and demand for Artificial Intelligence (AI) applications in the healthcare sector are surging, driven by a potent combination of common factors. Rising costs, aging populations, and the need for data-driven insights push healthcare leaders to embrace AI's potential for optimizing operations, improving diagnoses, and personalizing care. Moreover, AI promises to alleviate physician and nurse burnout, unlocking efficiencies, and making it a strategic imperative for leaders seeking sustainable growth and improved patient outcomes. GenAI Apps in Healthcare Market Development IDC predicts that by 2025, Generative AI (GenAI) will free up to 10 percent of medical clinicians' time, translating into an estimated $100 billion in annual healthcare savings in the Asia-Pacific region excluding Japan (APEJ) to realize workflow automation and efficiency. This is just one of IDC’s predictions unveiled in their latest worldwide market study. As the li

The once-quiet hum of the warehouse is being overtaken by a new rhythm – the whirring wheels and gentle beeps of mobile robots. As eCommerce booms and customer expectations soar, the pressure is on for faster, more efficient online purchase fulfillment. Warehouse automation has mostly been taken on by big organizations with deep pockets, but growing accessibility and maturing vendors are allowing solutions to trickle down and grow through the market.  According to the latest worldwide market study by ABI Research, the global installed base of Autonomous Mobile Robots (AMRs) in warehouses will surpass 500,000 by 2030. Mobile Robotics Market Development "There are now many options to automate a warehouse. Both stationary and mobile automation solutions have continued to expand to new form factors and are becoming more effective as Artificial Intelligence (AI) processing grows," said Ryan Wiggin, industry analyst at ABI Research . After their year in the spotlight with high-prof