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How AI Assistants Boost Software Creation

The field of enterprise software development has long been driven by human ingenuity. Programmers have meticulously crafted lines of code, bringing complex apps and systems to life. However, a new era is dawning, one where Artificial Intelligence (AI) is poised to fundamentally change the way software is created, tested, and deployed. According to the latest market study by Gartner, a significant shift is on the horizon. By 2028, 75 percent of enterprise software engineers will be utilizing AI-powered code assistants. This statistic paints a clear picture: AI is not here to replace software programmers, but rather to augment their capabilities and usher in a new era of collaborative co-creation. AI Code Assistant Market Development The rise of AI code assistants can be attributed to several factors. Firstly, the ever-increasing complexity of software demands new tools to streamline development. Modern applications are intricate networks of code, often built upon a foundation of existin
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The Subscription Economy Churn Challenge

The subscription business model has been one of the big success stories of the Internet era. From Netflix to Microsoft 365, more and more companies are moving towards recurring revenue streams by having customers pay for access rather than product ownership. The subscription economy cuts across many industries -- such as streaming services, software, media, consumer products, and even transportation with the rise of mobility-as-a-service. A new market study by Juniper Research highlights the central challenge facing subscription businesses -- reducing customer churn to build a loyal subscriber installed base. Subscription Model Market Development The Juniper market study provides an in-depth analysis of the subscription business model market landscape and associated customer retention strategies. A key finding is that impending government regulations will make it easier for customers to cancel subscriptions, likely leading to increased voluntary churn rates. The study report cites the

The Marketer's Guide to GenAI Transformation

Enterprise marketing faces a critical turning point in 2024, mirroring the shift from traditional outsourced media buying to digital marketing practitioners. A rapidly changing landscape of technological advancements demands a similar leap forward. Just as digital disrupted legacy media strategies, these trends render current enterprise marketing methods inadequate. Embracing a data-driven, agile, and purpose-driven approach isn't a suggestion, it's the imperative for survival and success in today's dynamic market. Applying generative artificial intelligence ( GenAI ) to a range of enterprise marketing tasks will result in a significant productivity increase by 2029, according to the latest worldwide market study by International Data Corporation (IDC). Marketing GenAI Apps Market Development "In the next five years, GenAI will advance to the point where it will handle more than 40% of the work of specific marketing roles," said Gerry Murray, research director at 

Unleashing the Power of Fixed Wireless Access

In a world increasingly reliant on digital connectivity, the fixed wireless communications market has emerged as a crucial player in enhancing access to high-speed, reliable internet across both densely populated and remote regions. As the global demand for comprehensive connectivity continues to grow, the performance and efficiency of fixed wireless access (FWA) technology have become central to bridging the way we live, work, and communicate online. Fixed Wireless Market Development According to the latest market study by ABI Research , the worldwide FWA subscription base is poised for strong growth, with a forecasted 14 percent compound annual growth rate (CAGR) from 2023 to 2029, reaching almost 265 million subscribers by the end of the decade. This trajectory underscores the growing importance of FWA in the telecommunications landscape, as service providers and technology innovators alike strive to deliver connectivity solutions that cater to the evolving needs of both enterprise

How to Capitalize on New AI-Driven APIs

The rapid evolution of the enterprise software landscape is amazing. One of the most significant trends I've observed is the surging demand for Application Programming Interfaces (APIs) driven by the rise of Artificial Intelligence (AI) and Large Language Models (LLMs). According to the latest market study by Gartner, more than 30 percent of the increase in API demand will come from AI and LLM-powered tools by 2026. This illustrates the transformative impact these technologies are poised to have on leaders who innovate. The Gartner study paints a clear picture of the forces at play. Technology Service Providers (TSPs) are leading the charge in adopting Generative AI (GenAI), with 83 percent of the 459 TSPs surveyed reporting that they have already deployed or are piloting these capabilities within their organizations. GenAI API Market Development As TSPs help large enterprise customers integrate GenAI into their offerings, the demand for APIs to power these AI-enabled solutions wi

Capitalizing on a $900B Telecom Opportunity

The global telecommunications market is forecast to reach $900 billion in operator-billed revenue in 2024, according to the latest worldwide market study by Juniper Research. This represents a pivotal juncture for telecom operators as they navigate emerging technologies' challenges and opportunities.  While telecom operators have invested heavily in deploying 5G networks, the study highlights their struggle to effectively monetize widespread 5G adoption among wireless network service subscribers. A key issue has been the inability to command a significant price premium over 4G services, despite the superior performance and capabilities of 5G. This challenge underscores the need for operators to explore new revenue streams beyond traditional mobile services. Telecom Services Market Development As Juniper analysts indicate, a promising avenue for revenue growth lies in the enterprise Internet of Things (IoT) market. With the IoT connectivity revenue market forecasted to expand from $

European AI to Reach $47.6 Billion in 2024

The European Artificial Intelligence (AI) and Generative AI (GenAI) market will reach $47.6 billion in 2024 and record a compound annual growth rate (CAGR) of 33.7 percent over the 2022-2027 forecast period. Europe represents around one-fifth of the global AI market according to the latest worldwide market study by International Data Corporation (IDC). While the share of GenAI reached only 9.6 percent of the total European AI market in 2023, it is increasing rapidly. Investment in GenAI will grow more than three times as fast as spending on the rest of the artificial intelligence market. As a result, GenAI will be more than a quarter of the European AI market in 2027. European AI Market Development Software will be the largest technology segment in 2024, with a market value higher than hardware and services combined. Furthermore, software is expected to have the fastest growth during 2022-2027, driven by demand for AI applications and platforms. The share of hardware technologies will

New Tech Spending to Fortify Aircraft Safety

The commercial aviation industry has been at the forefront of innovation, constantly pushing the creative boundaries of what's possible in aircraft design and manufacturing. However, with this pursuit of advancement comes an unwavering responsibility for safety. Recent events have cast a spotlight on the importance of rigorous adherence to aircraft assembly, testing, and maintenance procedures -- serving as a stark reminder of the critical role technology plays in ensuring the safety of passengers and crew alike. Aerospace Digitalization Market Development The dramatic images of a hole appearing in a Boeing aircraft operated by Alaskan Airlines sent shockwaves through the aviation industry, highlighting the potentially catastrophic consequences of even the slightest deviation from established quality-control protocols. In the wake of this incident, aerospace manufacturers have been galvanized into action, recognizing the urgent need to embrace appropriate technologies that can enha

Digital Workplaces Align with Sustainability

The digital workplace solutions market has been on the rise in recent years as many large enterprise organizations have embraced hybrid working and remote work models. Solutions like Unified Endpoint Management (UEM), Desktop as a Service (DaaS), and Digital Employee Experience (DEX) tools have enabled companies to support their distributed workforce and enhance employee productivity.   Digital Workplace Market Development However, a new study from Gartner reveals that the digital workplace is about to play an even bigger role as companies turn their focus toward Environmental, Social, and Governance ( ESG ) initiatives. According to Gartner, 80 percent of digital workplace and IT leaders will integrate their tools with ESG management and reporting solutions by 2027 -- that's up from less than 5 percent today. This expected rapid convergence is being driven by growing regulatory requirements around ESG disclosure, as well as rising CEO and leadership prioritization of environmenta

Securing the Future of Cellular IoT Apps

The Internet of Things (IoT) continues to expand. According to the latest worldwide market study by Juniper Research, they forecast a 90 percent growth in cellular IoT devices by 2028, with the global number reaching 6.5 billion. This exponential rise presents both exciting opportunities and significant challenges. While the growth of cellular IoT unlocks a vast potential for innovation in smart cities, industrial automation, and remote monitoring, it also requires device management and security advancements. Cellular IoT Market Development Juniper's research highlights the critical role of intelligent infrastructure management solutions. These platforms will empower the users to automate critical tasks such as device configuration, real-time security management, and optimized wireless connectivity. The surge in cellular data usage, projected to reach 46 petabytes by 2028 compared to 21 petabytes today, further underscores the need for automation. This is where federated learning i

Generative AI Drives Edge Computing Growth

The growing need for real-time, localized artificial intelligence (AI) processing power drives demand for Generative AI (GenAI) solutions on public cloud edge computing platforms. Worldwide spending on edge computing is forecast to reach $232 billion in 2024 -- that's an increase of 15.4 percent over 2023, according to the latest market study by International Data Corporation (IDC). Combined enterprise and service provider spending across hardware, software, professional services, and provisioned services for edge solutions will sustain strong growth through 2027 when spending is forecast to reach nearly $350 billion. Edge Computing Market Development IDC defines edge as the information and communications technology (ICT) related actions performed outside of the centralized data center, where edge computing is the intermediary between the connected endpoints and the core enterprise IT environment. Characteristically, edge computing is distributed, software-defined, and flexible. T

Strategic Wireless Tech for Uncertain Times

The business technology community is at a critical juncture in 2024. Global market pressures are starting to ease, but persistent geopolitical threats are somewhat hindering progress. As a result, telecom network providers and their customers are under pressure to make strategic near-term decisions to drive positive impact and ROI within their organizations. "The rapid rise of private cellular, huge growth in 5G mMIMO radio deployments, and a big bet on network slicing are just some of the many changes on the horizon of which companies and organizations must be aware to make mid-course corrections or complete roadmaps," said Stuart Carlaw, chief research officer at ABI Research . Mobile Wireless Market Development The total addressable market for private networks, encompassing elements such as the Radio Access Network (RAN), Mobile-access Edge Computing (MEC), the core, and professional services, is poised to grow significantly. Anticipated to surge from $6.1 billion in 2023

GenAI Can Supercharge Economic Recovery

The Economic Recovery Corps (ERC) is a new, collaborative initiative designed to accelerate recovery from the COVID-19 pandemic in communities and regions throughout the U.S. by connecting organizations with the talent and capacity needed to advance new ways of doing economic development. However, it's unknown if new technology will be a key component. For example, less than 25 percent of government organizations will have Generative Artificial Intelligence ( GenAI ) enabled citizen-facing services by 2027, according to the latest worldwide market study by Gartner. Furthermore, fear of public failure and a lack of community trust in government use of the technology will slow adoption for external use by a nation's citizens. Government GenAI Market Development Like many organizations over the past 15 months, federal and regional governments have been exploring the opportunities and risks associated with the emergence of GenAI tools. Gartner’s annual global survey of over 2,400 C

AI Enabled Anti-Money Laundering Systems

Anti-Money Laundering (AML) systems are rapidly evolving to compensate for the constant increase in volume and complexity of online financial crime. AML solutions help combat the sophisticated methods criminals use to avoid detection. AML includes a set of policies, procedures, and technologies that prevent the process of taking illegally obtained money and making it appear to have come from a legitimate source. The AML term arose from regulatory standards, specifically to detail the concealing of financial movements for underlying crimes ranging from tax evasion, drug trafficking, public corruption, and the financing of terrorist groups. Intelligent AML Systems Market Development According to the latest worldwide market study by Juniper Research, by 2028 the total spend on third-party AML systems will have grown by 80 percent -- that's up from $28.7 billion in 2024. This significant market growth will be driven by the use of artificial intelligence (AI) technologies to assist AML

How GenAI Transformed the CIO Role

With large enterprise business technology decision-making and budget spending now residing with Line of Business (LoB) leaders, rather than traditional IT leadership, the Chief Information Officer (CIO) role must demonstrate strategic skills. By 2028, 80 percent of CIOs will leverage significant organizational changes to harness AI, automation, and analytics, driving agile, insight-driven digital businesses. CIOs must become key players in shaping the future of their companies, guiding them through new trends while putting data at the heart of their business strategies, according to the latest market study by International Data Corporation (IDC). CIO Business Skills Market Development IDC research identified the top 3 concerns among C-suite executives were in digital skills, the lack of LoB trust in IT, and the lack of digital business know-how of C-suite executives. Given this backdrop, the major challenge for CIOs is transitioning from being a technical manager to a strategic archite

GenAI Goes Everywhere via Device Chipsets

Soon you will start to experience Artificial Intelligence (AI) benefits everywhere -- in the public cloud, at the edge of mobile networks, and on many personal digital devices. Generative AI (GenAI) workloads have moved beyond the bounds of cloud environments and can now run on-device supported by implementing heterogeneous AI chipsets. Combined with an abstraction layer that can efficiently distribute AI workloads between processing architectures and compressed LLMs with under 15 billion parameters, these advanced chipsets can enable us to run generative AI inferencing locally. On-Device AI Market Development ABI Research estimates worldwide shipments of heterogeneous AI chipsets will reach over 1.8 billion by 2030 as personal computers, smartphones, and other form factors will increasingly ship with on-device AI capabilities. "Cloud deployment will act as a bottleneck for generative AI to scale due to data privacy, latency, and networking cost concerns. Solving these challenges

Why GenAI Will Disrupt Search Marketing

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

How GenAI Transforms Mobile Messaging

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

GenAI Upside for Marketers and Salespeople

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

The Intelligence Revolution at the Edge

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. "