The Combat Management System (CMS) market is primarily driven by increasing defense budgets globally, particularly in countries aiming to modernize their military capabilities. As geopolitical tensions rise, there's a growing demand for advanced, integrated systems that enhance situational awareness and improve decision-making for naval and air forces. Additionally, technological advancements such as AI and IoT integration within CMS are further bolstering market growth, offering enhanced capabilities in threat detection and response. However, the market faces restraints such as high initial costs and complex implementation processes, which can deter budget-constrained nations. Additionally, stringent government regulations and lengthy approval cycles for defense equipment can delay adoption, while cybersecurity concerns pose risks to the reliability and resilience of these systems.
Read MoreThe Augmented Connected Worker (ACW) market is midway through its early adopter phase and experiencing high growth. Frost & Sullivan estimates a 31.1% CAGR from 2023 to 2030, reaching USD 6.36 billion that year across process, hybrid, and discrete manufacturing industries.
The connected worker is a term used to describe technologies (AR, IoT, AI, and more) that help connect frontline workers in manufacturing with the systems they interact with daily. The augmented worker refers to the enhancement in the performance of frontline workers and includes technologies such as AR, exoskeletons, computer vision systems, and more. Although there are many similarities between both and are sometimes used interchangeably, Frost & Sullivan think it is best to use a single term. The ACW is meant to unite both concepts and describe a system that can help connect frontline workers with the tools they need seamlessly to enhance their performance and include them in the continuous improvement cycle of the company.
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Global entertainment & media (E&M) industry revenues rose 5% to US$2.8 trillion in 2023 and projected to hit $3.4 trillion in 2028. Advertising revenues projected to top $1 trillion in 2026, with revenues in 2028 to represent double the revenues of 2020. Streaming service usage and uptake continues to rise, but market players look to consolidation, live sports, password-sharing crackdowns and ad-based revenue to drive growth as industry competition intensifies.
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Almost half (45%) of workers say their workload has increased significantly in the past year, as almost two-thirds (62%) say the pace of change at work has increased over the same time
More than one-quarter (28%) say they are very or extremely likely to switch employer in the next 12 months – a higher proportion than during the ‘Great Resignation’ (19%) in 2022
Employees prioritise skills-growth: fewer than half (46%) strongly or moderately agree that their employer provides adequate opportunities to learn new skills. This is particularly important for workers considering leaving: two-thirds (67%) say opportunities to learn new skills are a key factor in any decision to job-switch
More than 80% of workers who use generative AI daily expect it to make their time at work more efficient in the next 12 months. Half (49%) of all users expect it to lead to higher salaries
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According to Forrester, the key to sustained enterprise success over the longer-term success is to data and AI strategies with business transformation objectives. For tech leaders, a key focus in 2025 will be prioritizing stronger alignment with chief data officers to ensure that AI becomes a business strategy, not just a technology strategy.
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According to the International Data Corporation's (IDC) recent report, The State of Ransomware in Asia/Pacific, a staggering 59.6% of enterprises in the region experienced ransomware attacks in 2023. The report highlights the urgent need for enhanced cybersecurity measures to counteract increasingly sophisticated threats. This figure shows the increasing threat of cyberattacks and the need for organizations to improve their cybersecurity measures to protect against more advanced ransomware.
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The public cloud services market growth in 2023 grew faster than the previous forecast, driven mainly by the rise of generative AI (GenAI). This trend led to a high demand for AI platforms and data management software. As a result, the PaaS market recorded a YoY growth of 46.5%, the highest in the past four years.
GenAI-infused applications also drove the SaaS market growth, which helped the SaaS market sustain over 60% of total public cloud services market share. In contrast, the IaaS market growth slumped from 21.3% in 2022 to 12.9% in 2023, which met IDC's expectation that the softened economic condition in the region is impacting organizations to focus on cost optimization strategy and shift the cloud spending to automation solutions to streamline business and IT operations.
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“Everyday AI promises to remove digital friction, by helping employees write, research, collaborate and ideate,” said Matt Cain, Distinguished VP Analyst at Gartner. “It is a core part of DEX, which is a concentrated effort to remove digital friction and improve workforce digital dexterity, which itself is one of the key factors that will drive organizational prosperity through 2030.”
2024 has been a critical year for digital workplace application leaders, as the focus on hybrid and remote work dwindles and the need for a strategic concentration on everyday AI rises. Everyday AI is placed on the Peak of Inflated Expectations on the Gartner Hype Cycle for Digital Workplace Applications, 2024
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Casinos and high-end resorts face mounting pressures to deliver personalized and engaging guest experiences while optimizing operational efficiency. As casinos shift towards creating immersive, tailored environments, internet protocol (IP) video solutions are being explored to strengthen the ability for properties to deliver dynamic and immersive experiences for guests while promoting -- and directing traffic -- in-house service offerings.
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With modest GDP growth and stagnant budgets, organizations around the world are finding it necessary to reallocate funds from mature areas to support IT investments. While cloud and security continue to be key priorities, generative AI (GenAI) is increasingly taking the spotlight as companies strive for significant productivity improvements. GenAI investment is expected to grow 30%, with leaders from companies with high GenAI maturity anticipating their return on investment will be three-times higher over the next three years than that of companies with little or no adoption of the technology, according to a new report by Boston Consulting Group (BCG) released today.
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Silent Sector, a leading cybersecurity firm specializing in protecting mid-market businesses, has discovered a major flaw in the two-factor authentication (2FA) enrollment process that could leave millions of organizations vulnerable to cyberattacks. The vulnerability lies in the use of QR codes for 2FA, a common security practice across industries, and poses an urgent threat to the security of organizations that rely on this method to protect sensitive accounts.
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In the evolving enterprise technology landscape, the convergence of generative AI and Zero Trust principles presents a unique set of both challenges and opportunities. To shed light on these dynamics, we had the privilege of speaking with Ben Corll, CISO in residence for Zscaler, who offered his expert perspective in the wake of a CIO.com virtual roundtable with senior technology decision-makers on how organizations can reconcile the seemingly conflicting demands of AI and cybersecurity.
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The 2024 ISG Provider Lens™ global Specialty Analytics Services report for the supply chain industry finds that organizations are investing in technologies to harness enterprise and ecosystem data for better decision-making. The COVID-19 pandemic exposed the fragility of global supply chains, so enterprises are exploring how data and analytics can make systems more resilient and sustainable.
“Companies can no longer take supply chains for granted,” said Bob Krohn, partner, manufacturing, for ISG. “By implementing new technologies with providers, they are achieving the end-to-end visibility they need to stay ahead of changes.”
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A significant exposure related to the use of QR codes in two-factor authentication (2FA) processes has been identified and reported to the Internet Engineering Task Force (IETF) by researchers and analysts at Silent Sector (https://silentsector.com), a cybersecurity services company that specializes in providing tailored risk management solutions to mid-market and emerging companies across various industries, including healthcare, financial services, technology, manufacturing, and defense.
Last month, CIO.com hosted a virtual roundtable featuring top technology executives from industries including insurance, healthcare, banking, real estate, and manufacturing. The event, supported by experts from IBM, centered around the evolving role of mainframe platforms in supporting AI-enabled enterprises, particularly in the context of modernization and business transformation. As artificial intelligence (AI), and more specifically generative AI (GenAI), continues to reshape industries, enterprises are revisiting their mainframe systems to better align with this new wave of technological innovation.
Despite prevailing conventional wisdom in the enterprise technology community, businesses can drive innovation without being overwhelmed by the complexities of legacy system modernization, according to Tiago Azevedo, CIO of OutSystems, a leader in low-code and no-code (LCNC) technology. These LCNC platforms – when combined with generative AI (GenAI) – can allow organizations to innovate rapidly and deliver immediate business value without the need for extensive legacy overhauls.
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There are six technologies that will have transformational benefits within five years for digital government services, according to Gartner, Inc. These include digital employee experience (DEX), AI code assistants, generative AI (GenAI), generative design AI, predictive analytics in government and workstyle analytics.
“Delivering services digitally continues to be a priority in government transformation plans,” said Daniel Snyder, Sr Director Analyst, KI Leader at Gartner. “These technologies will help government CIOs bridge the gap between digital innovation goals and executing against strategy objectives. Collectively, they will be a crucial element for executives in aligning technology innovation to mission outcomes to keep pace with growing citizen expectations.”
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Generative AI (GenAI) is creating a new type of knowledge worker who can code faster and summarize documents instantly. But can the tool also enable people to meet the shifting demands of their roles? A new scientific experiment conducted by the BCG Henderson Institute in collaboration with BCG X and Emma Wiles from Boston University, as described in GenAI Doesn’t Just Increase Productivity. It Expands Capabilities., examines what happens when, instead of using GenAI to improve performance within their current skillset, people use the technology to complete tasks beyond their existing capabilities.
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The ISG Buyers Guide™ for Cloud-Native AI and Data Platforms, produced by ISG Software Research, projects that through 2026, more than one-third of enterprises will deploy cloud-native AI and data platforms in their information architectures. Most leading cloud providers offer both AI and data capabilities, while independent software providers offer AI and data platforms built to operate natively in and across cloud environments, the report says.
The report points out that AI requires large amounts of high-quality data that needs to be prepared, engineered and organized to feed and train AI models. The volumes of data necessary for accurate AI models place a significant demand on computing resources, which can often be best met with elastic cloud platforms. The cost of these systems can be significant, and any inefficiencies in the process can exacerbate the costs, the report says.
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