Information Technology Coverage

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under 5G Infrastructure Market?

5G infrastructure refers to the physical and virtual network components that enable the deployment and operation of 5G networks. 5G infrastructure utilizes advanced network technologies, including small cells and fiber-optic backhaul, to deliver ultra-fast connectivity and low-latency communication for smart cities, autonomous vehicles, and IoT applications. The main component types of 5G infrastructure are hardware, software, services. Hardware forms the backbone of 5G networks, encompassing physical components such as radio access networks (RAN), core networks, and backhaul and transport systems. The various types of spectrum include sub-6 ghz, millimeter-wave with various network architecture such as centralized, distributed, cloud-native, virtualized. These are used by various end users such as telecommunications, automotive, healthcare, manufacturing, smart cities.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under Agentic AI In Digital Engineering Market?

Agentic artificial intelligence (AI) in digital engineering refers to AI systems that can operate independently, make decisions, and complete complex engineering tasks with minimal human intervention. Its purpose is to automate design, testing, and optimization processes, improving efficiency, accuracy, and innovation in digital product development. The main technologies of agentic AI in digital engineering are generative AI for engineering design, digital twins and AI-driven simulations, AI in robotics and automation, explainable AI (XAI) for engineering, and other technologies. Generative AI for engineering design uses algorithms to automatically generate innovative design solutions based on specified parameters, optimizing functionality, performance, and cost-efficiency. These technologies are implemented through various models, including on-premise and cloud-based deployments, and serve a wide range of applications such as product design and development, predictive engineering analytics, process automation and workflow optimization, AI-enhanced simulation and testing, intelligent infrastructure, smart manufacturing, and others. Major industry sectors utilizing these technologies include automotive and aerospace, energy and utilities, construction and civil engineering, electronics and semiconductors, healthcare and medical devices, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under Agentic AI In Labor Market?

Agentic AI in labor refers to AI systems that can execute work-related tasks, make decisions, and adapt to changing conditions with little human intervention. This technology improves traditional labor by automating difficult procedures, increasing productivity, and assisting human workers in dynamic settings. The main deployment types for agentic AI in labor are cloud based, on premises. Cloud-based deployment refers to the use of remote servers and internet-based infrastructure to run applications and store data. These are used by various enterprise sizes such as large enterprises, small and medium size enterprises. These are also used in various applications such as customer service, human resources, sales and marketing, operational management, research and development, others and by various industries such as banking, financial services and insurance, healthcare, manufacturing, retail, information technology and telecom, others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under Agentic Artificial Intelligence (AI) Government Market?

Agentic artificial intelligence (AI) government refers to a governance model in which AI systems with autonomous decision-making capabilities agentic AI are entrusted with significant roles in governing processes. These AI agents operate independently and can perceive, reason, and act on behalf of governmental functions to pursue specified objectives, such as improving efficiency, fairness, or responsiveness in public administration. The main product types in agentic artificial intelligence (AI) for government are ready-to-deploy agents and build-your-own agents. Ready-to-deploy agents are pre-configured AI systems designed for immediate use, enabling autonomous task execution and streamlined operations in specific environments. These agents are deployed through two primary models, on-premises and Cloud-Based. They support various application areas, including citizen services, public procurement, healthcare management, urban infrastructure, and other government functions.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market?

Agentic artificial intelligence (AI) in fraud detection and prevention refers to the use of AI systems that operate with a degree of autonomy and decision-making capability to identify, analyze, and respond to fraudulent activities. These agentic AI systems go beyond traditional rule-based models by actively monitoring transactions, learning from patterns, adapting to new fraud tactics, and initiating preventive or corrective actions without constant human intervention. Agentic AI assesses risks in real-time, flags suspicious behaviors, and even interacts with other systems or users to mitigate threats by leveraging machine learning, anomaly detection, and natural language processing techniques. The main component types of agentic artificial intelligence (AI) in fraud detection and prevention are solutions and services. Fraud detection solutions leverage AI-powered analytics and self-learning Agentic AI to identify, assess, and prevent fraud with evolving precision and minimal human input. These solutions are operated by different organizations such as small and medium-sized enterprises and large enterprises for various applications including identity theft, money laundering, payment fraud, and others. It is used by several verticals such as banking, financial services and insurance, government and defense, healthcare, information technology and telecom, industrial and manufacturing, retail and e-commerce, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under AI Driven Meal Planning Apps Market?

AI-driven meal planning apps use artificial intelligence to offer personalized meal suggestions based on dietary preferences, goals, and restrictions. They generate automated grocery lists and track nutritional content to support healthier eating. These apps also optimize meal schedules and can adjust recipes based on available ingredients. The main platform types of AI driven meal planning apps are Mobile Apps, web-based platforms, desktop applications. Mobile apps are applications designed for smartphones and tablets that use artificial intelligence to help users plan their meals. The various diet types include vegan and vegetarian, keto and low-carb, paleo and whole30, mediterranean and heart-healthy, diabetes and medical diets, high-protein and muscle gain with various business models such as freemium, subscription-based, one-time purchase, ad-supported models. These are used by various end users such as individuals and households, fitness enthusiasts and athletes, dietitians and nutritionists, healthcare providers and chronic disease patients.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under AI Personal Trainers Market?

AI personal trainers are digital fitness coaches powered by artificial intelligence that provide personalized workout plans, real-time feedback, and progress tracking tailored to an individual’s fitness goals, body type, and performance data. AI personal trainers can offer guidance on exercise form, suggest modifications, and adjust plans dynamically to keep workouts effective and engaging. They bridge the gap between professional training and accessibility, offering a cost-effective and convenient solution for users seeking structured, goal-oriented fitness support anytime, anywhere. The main AI personal trainers delivery modes include mobile apps, web-based platforms, and Smart Fitness Equipment. Mobile apps are software applications designed for smartphones and tablets, offering functionalities across communication, entertainment, productivity, and more. It is used by various target users such as fitness enthusiasts, beginners, and people with specific health conditions and offers subscription-based, freemium model, and pay-per-session models. It is used for basic customization, advanced customization, and gamified workouts.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

What Is Covered Under Artificial Intelligence (AI) Agents In Public Service Market?

Artificial intelligence (AI) agents in public service refer to artificial intelligence systems designed to perform tasks, provide assistance, or make decisions in various public sector domains, such as healthcare, transportation, education, and administrative services, enhancing efficiency and accessibility. The main product types of artificial intelligence (AI) agents in public service are ready-to-deploy agents and build-your-own agents. Ready-to-deploy agents are pre-configured AI solutions designed for rapid integration into public service operations. AI agents can be implemented as either single-agent systems or multi-agent systems. These agents serve a wide range of applications, including smart city infrastructure, traffic management, public transportation optimization, law enforcement, education, and others.