The International Data Corporation (IDC) released its latest forecast for Worldwide Edge Computing Spending Guide, featuring a new enterprise industry taxonomy. The newly added structure now includes 27 industries, providing a more detailed and nuanced segmentation by region and country across key manufacturing sectors such as automotive, industrial, consumer packaged goods, life sciences, high-tech and electronics, and aerospace. According to IDC, global spending on edge computing solutions accounts for nearly $261 Billion in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 13.8%, reaching $380 Billion by 2028.

By 2029, agentic AI will autonomously resolve 80% of common customer service issues without human intervention, leading to a 30% reduction in operational costs, according to Gartner, Inc.

Agentic AI is poised to revolutionize the way service interactions are conducted. While previous AI models were limited to generating text or summarizing interactions, agentic AI introduces a new paradigm where AI systems possess the capability to act autonomously to complete tasks. Both customers and organizations will leverage this technology to automate interactions through the use of AI agents and bots, fundamentally reshaping the relationship between service teams and their customers.

Forrester projects that global technology spend will grow by 5.6% in 2025 to reach $4.9 trillion — up from $4.7 trillion in 2024 — reflecting a significant acceleration. Key growth drivers include the rapid adoption of software, IT services, generative AI (genAI), and cloud technologies. Asia Pacific and North America are expected to see the most rapid growth.

Global telecoms revenue is projected to rise at a CAGR of 2.9% through to 2028, below inflation, even as the sectors total revenue across fixed and mobile verticals rose 4.3% in 2023 to hit US$1.1 trillion, according to PwC’s Global Telecoms Outlook, published today ahead of Mobile World Congress in Barcelona, Spain (3-6 March 2025).

The Outlook finds that the telecoms industry faces a sluggish outlook amid rising costs and competition, muted subscriber growth, and lingering macroeconomic and geopolitical pressures. Despite their being volume growth in the sector, average revenue per unit (ARPU) is expected to decline on average 2% annually until 2028, across mobile, fixed broadband, and voice services.

Services related to AI and specifically generative AI often fell short of enterprise expectations in 2024, according to a new report from Information Services Group (ISG), a global AI-centered technology research and advisory firm.

The ISG Star of Excellence CX Insights Report for 2024, an annual review that sheds light on what enterprise buyers think about their service and solution providers, shows that GenAI earned the lowest average CX score of any emerging technology. The findings suggest many clients believe the value they get from GenAI services does not yet justify the cost.

Despite artificial intelligence’s (AI) promise for enhancing efficiency, many organizations struggle to turn investments in traditional and generative AI into material improvements in worker productivity, according to a survey by Gartner, Inc.

Gartner's survey of 724 respondents from a range of business functions, taken June through August 2024, revealed that among teams who primarily used traditional AI, 37% reported high productivity gains, while GenAI-using teams fared marginally worse at 34%.

According to the latest forecast from the International Data Corporation (IDC) Worldwide Security Spending Guide, global security spending is expected to grow by 12.2% year on year in 2025. The increasing complexity and frequency of cyberthreats — accelerated by generative AI (GenAI) and AI in general — are driving organizations worldwide to adopt more advanced defensive measures. As a result, security spending is expected to see sustained growth throughout the 2023–2028 forecast period, reaching $377 billion in 2028.

The United States and Western Europe will continue to account for more than 70% of global security spending in 2025. However, all geographic regions are expected to see consistent growth in security spending this year, with the highest increases in Latin America, Central & Eastern Europe, and the Middle East & Africa.

With artificial intelligence, edge computing, and real-time analytics continuing to push the capacity of digital infrastructure, mid-market enterprises are often caught between consumer-grade cloud services and enterprise-scale solutions to meet the emerging demands of their business requirements. Long considered secondary targets for infrastructure providers, leaders in these organizations are now confronting the limitations of one-size-fits-all cloud models and rediscovering the strategic relevance of regional data centers. 

The shift is not a matter of nostalgia or resistance to modernization. Rather, it reflects a deeper understanding of cost structures, accountability, and the practical realities of operating hybrid environments in an era of ballooning cloud bills and increasingly fragile IT control. So says NYI Co-founder and COO Philip Koblence.

AI is becoming a core requirement for human capital management (HCM) and employee engagement, with two-thirds of enterprises expected to need AI-enabled capabilities in their HCM systems by 2027, according to new research from global AI-centered technology research and advisory firm Information Services Group (ISG). The ISG Buyers Guides for HCM, produced by ISG Software Research, find the biggest driver of change in talent management and HR management system (HRMS) software is the growing use of AI and machine learning (ML) in these systems. Once focused on administrative functions, HCM has become a strategic asset over the past decade and is now central to developing and engaging a workforce to be more productive.

In the IDC Survey document Understanding Agentic AI Technology Adoption in Asia/Pacific, presenting select data from IDC’s 2024 Future Enterprise Resiliency and Spending Survey, wave, IDC found about 70% of Asia/Pacific organizations expect agentic AI to disrupt business models. Organizations in the region are looking to drive operational efficiencies, improve customer engagement, and enhance decision-making by adopting agentic AI. The survey document presents and examines respondents’ agentic AI adoption, investment intentions, applications, and potential concerns. This study extrapolates and analyzes select data from the responses of 300 Asia/Pacific organizations from different industries.

While most business technology has focused on automating structured processes, a growing share of inefficiencies in finance operations remain tied to tasks that don’t follow neat rules or formats. According to executives from Lumina Data (https://www.luminadata.ai/), artificial intelligence (AI) is now poised to address these challenges—starting with unstructured tasks in finance departments

In a recent BizTechReports vidcast interview, Lumina Data co-founders Afrozy Ara and Deepti Chafekar, discussed how goal-based AI agents can work alongside humans to streamline processes, reduce error rates, and enable faster financial operations without requiring companies to replace their existing systems.

By 2027, AI agents will reduce the time it takes to exploit account exposures by 50% according to Gartner, Inc.

“Account takeover (ATO) remains a persistent attack vector because weak authentication credentials, such as passwords, are gathered by a variety of means including data breaches, phishing, social engineering and malware,” said Jeremy D’Hoinne, VP Analyst at Gartner. “Attackers then leverage bots to automate a barrage of login attempts across a variety of services in the hope that the credentials have been reused on multiple platforms.”

The cybersecurity landscape is undergoing a dramatic shift. As threats grow more complex and attackers adopt AI-driven tools, defenders are being forced to evolve just as quickly — not just in tactics, but in technology. That evolution is ushering in a new era, where artificial intelligence isn’t merely a tool, but a workforce.

According to Ambuj Kumar, Co-founder and CEO of cybersecurity company Simbian, intelligent AI agents are now doing what was once the exclusive domain of human analysts: investigating alerts, remediating vulnerabilities, and adapting to organizational processes — all at machine speed and scale.

Companies in the U.S. plan to keep investing in digital initiatives for sustainability and ESG despite political change and uncertainty, according to a new research report by Information Services Group (ISG), a global AI-centered technology research and advisory firm.

The 2024 ISG Provider Len Sustainability and ESG report for the U.S. finds the market for digital solutions to improve environmental and social sustainability and corporate governance is rapidly evolving, with some federal regulations likely to be scaled back while others survive under the current administration. Surveys indicate U.S. enterprises will continue to carry out digital sustainability initiatives to maintain brand value, reduce risks and save money.

IDC predicts that AI spending will grow at 1.7x the rate of overall digital technology spending in the next three years, generating an APEJ economic impact of over $1.6 trillion by the end of 2027.

IDC’s prediction emphasizes that AI has transitioned from an emerging technology to a cornerstone of business strategy, with generative AI (GenAI) amplifying this shift. However, this accelerated growth comes with challenges, such as digital skills shortages and the imperative for responsible AI adoption.

As the global energy landscape undergoes rapid transformation, utility companies on both sides of the Atlantic are rethinking how they manage and modernize aging power grids. According to new research from Information Services Group (ISG), an AI-focused technology advisory firm, utilities in North America and Europe are embracing advanced software platforms and third-party services to improve resilience, enable sustainability, and meet the growing expectations of customers and regulators.

According to the report IDC FutureScape: Worldwide Retail Predictions 2025 Implications, by 2027 50% of Asia/Pacific retailers will leverage GenAI-enabled content creation and delivery for dynamic product content, boosting conversion rates, and cutting content management costs by 30%. Generative AI is expected to drive efficiency, personalization and business growth.

As retailers integrate GenAI into their content strategies, key considerations include ensuring data accuracy, seamless system integration, and adherence to brand identity and local market nuances. With AI-driven content creation becoming a strategic advantage, Asia/Pacific retailers are poised to set new benchmarks in digital engagement and operational efficiency.

Worldwide smartphone shipments are forecast to grow year-over-year in 2025, according to the International Data Corporation (IDC) Worldwide Quarterly Mobile Phone Tracker. The increase will represent the second successive year of improvement after growth in 2024. Related to this, TAM slightly increased from prior forecasts thanks to acceleration of the Android market, particularly in China where national subsidies and pent-up demand for device upgrades reversed earlier years of decline. Growth is expected to continue throughout the forecast period due to increasing smartphone penetration, lengthening refresh cycles, and headwinds from the growing used smartphone market.

Enterprises in France are facing competing pressures, prompting them to reassess their public cloud investments to balance the need for AI-driven innovation and cost optimization, according to a new research report published today by Information Services Group (ISG), a leading global technology research and advisory firm.

The 2024 ISG Provider Len Multi Public Cloud Services report for France finds the need to adopt and integrate generative AI (GenAI) and data analytics for business process innovation is driving greater use of cloud platforms. At the same time, Europe’s challenging economic and political landscape, coupled with territorial conflicts, are contributing to enterprise uncertainty and a continuing focus on cost optimization. Complicating matters, France faces a shortage of skilled AI resources and increased data sovereignty regulations.

Eptura, the global worktech leader, today released new research that reveals that 34% of businesses plan to increase office attendance. This trend is prompting enterprises to enhance their use of AI and cross-platform data analytics to better manage workplace occupancy and ensure a balanced employee experience throughout the workweek.