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Global Bill Splitting Apps Market Size, Share & Strategic Growth Analysis – By Platform (iOS, Android, Web-Based), By Deployment (Cloud-Based, On-Premises), By Application (Peer-to-Peer Payments, Group Travel, Roommate Expense Sharing, Corporate Expense Management), By End-User (Individuals, SMEs, Enterprises), By Region, Competitive Landscape, Digital Payment Trends, Investment Insights & Forecast 2025–2034

The Global Bill Splitting Apps Market was valued at approximately USD 0.63 billion in 2024 and is projected to reach nearly USD 1.41 billion by 2034, driven by increasing digital payment adoption, peer-to-peer transaction growth, and the rising popularity of shared economy platforms. Based on the established growth trajectory, the market size for 2025 is estimated at approximately USD 0.68 billion. From 2026 onward, the market is expected to expand at a compound annual growth rate (CAGR) of approximately 8.4% during 2026–2034, ultimately reaching around USD 1.41 billion by 2034.

4/5
( 105 )
| Pages : 214 | US $3350 Onwards | Published Date : 2026-02-24 | Report Code : IR508

Global Internet Service Provider (ISP) Market Size, Share & Strategic Outlook – By Connection Type (Fiber Optic Broadband, DSL, Cable, Fixed Wireless Access, Satellite Internet), By Service Type (Residential, Commercial, Enterprise), By Speed Tier (Below 100 Mbps, 100–500 Mbps, 500 Mbps–1 Gbps, Above 1 Gbps), By End-User (Households, SMEs, Large Enterprises), By Region, Competitive Landscape, Industry Trends, Investment Analysis & Forecast 2025–2034

The Global Internet Service Provider (ISP) Market was valued at approximately US$ 850 billion in 2024 and is projected to reach nearly US$ 1.65 trillion by 2034, reflecting sustained expansion driven by rising broadband penetration, fiber network rollouts, and increasing data consumption. Based on the established growth trajectory, the market size for 2025 is estimated at approximately US$ 909 billion. From 2026 onward, the market is expected to continue expanding at a compound annual growth rate (CAGR) of approximately 6.9% during 2026–2034, ultimately reaching around US$ 1.65 trillion by 2034.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2026-02-24 | Report Code : IR506

Global AI Server Security Market Size, Share & Strategic Growth Analysis – By Component (Hardware, AI-Optimized Servers, GPU-Accelerated Systems, FPGA-Based Solutions, Software, AI-Powered Intrusion Detection, ML-Based Threat Analytics, AI-Driven Firewalls, Services), By Deployment (On-Premises, Cloud-Based), By Enterprise Size, By Industry Vertical, Global Region, Competitive Landscape, Cybersecurity Trends, Investment Insights & Forecast 2025–2034

The Global AI Server Security Market was valued at approximately USD 7.8 billion in 2024 and is projected to reach nearly USD 616.3 billion by 2034, reflecting an extraordinary expansion driven by the rapid deployment of AI data centers and escalating cyber risks targeting AI workloads. Based on the stated 54.8% growth trajectory, the market size for 2025 is estimated at approximately USD 12.1 billion. From 2026 onward, the market is expected to accelerate from an estimated USD 18.7 billion in 2026 to USD 616.3 billion by 2034, registering a compound annual growth rate (CAGR) of approximately 54.8% during 2026–2034.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2026-02-24 | Report Code : IR505

Global AI in Language Translation Market Size, Share & Industry Analysis By Component (Software, Services), By Deployment Mode (Cloud-Based, On-Premise), By End-Use (BFSI, IT & Telecommunications, Healthcare, Travel & Tourism, Education, Commercial Use), By Language Type & Application Industry Region & Key Players – Industry Segment Overview, Market Drivers, Restraints, Competitive Strategies, Technology Trends & Forecast 2025–2034

The AI in Language Translation Market is valued at approximately USD 2.6 billion in 2025 and is projected to reach around USD 18.2 billion by 2034, expanding at a compound annual growth rate (CAGR) of about 23.1% during the forecast period from 2026 to 2034. Market growth is driven by rising global digital content consumption, increasing demand for real-time multilingual communication, and rapid adoption of AI-powered translation tools across enterprises, e-commerce, and media platforms. In addition, advancements in neural machine translation, large language models, and speech-to-text integration are enhancing accuracy and contextual understanding, positioning the market for sustained expansion across business, education, and cross-border communication applications.

4/5
( 105 )
| Pages : 197 | US $3350 Onwards | Published Date : 2026-02-04 | Report Code : IR486

Global Generative AI in Chemical Market Size, Share & Industry Analysis By Technology (Machine Learning, Deep Learning, Generative Models, Quantum Computing, Reinforcement Learning, NLP), By Application (Molecular Design & Drug Discovery, Process Optimization, Chemical Engineering, Market Trend & Pricing Analysis), Industry Region & Key Players – Industry Segment Overview, Market Drivers, Challenges, Competitive Strategies, Innovation Trends & Forecast 2025–2034

The Generative AI in Chemical Market is valued at approximately USD 290.0 million in 2025 and is projected to reach around USD 3.25 billion by 2034, expanding at a robust compound annual growth rate (CAGR) of about 29.1% during the forecast period from 2026 to 2034. Market growth is fueled by accelerating adoption of AI-driven molecular design, reaction optimization, and predictive analytics across specialty chemicals, pharmaceuticals, and materials science. In addition, rising R&D automation, increasing demand for faster product development cycles, and growing integration of generative models in sustainable chemistry and green manufacturing workflows are positioning the market for exponential long-term expansion.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2026-02-04 | Report Code : IR485

Global AI in Predictive Policing Market Size, Share & Growth Analysis By Offering (Predictive Analytics Solutions, Risk & Crime Analytics, Real-Time Monitoring Platforms, Professional & Managed Services), By Deployment Mode (Cloud-Based, On-Premises), By Organization Size (Large Enterprises, SMEs), By Technology (Machine Learning, Deep Learning, NLP, Computer Vision), By Vertical & Region – Industry Overview, Market Dynamics, Ethical & Regulatory Landscape, Competitive Strategies, Emerging Trends & Forecast 2026–2034

The AI in Predictive Policing Market is estimated to reach approximately USD 4.1 billion in 2025 and is projected to surge to around USD 162.8 billion by 2034, registering a very strong compound annual growth rate (CAGR) of about 47.2% during the forecast period from 2026 to 2034. This rapid expansion is driven by increasing adoption of AI-powered crime forecasting, real-time risk assessment, and data-driven patrol optimization across law enforcement agencies worldwide. Governments and public safety organizations are leveraging predictive analytics to reduce response times, allocate resources more efficiently, and improve crime prevention outcomes. Additionally, the integration of predictive policing platforms with smart city infrastructure, surveillance networks, and cloud-based analytics is accelerating deployment, positioning AI as a core pillar of next-generation public safety and security strategies.

4/5
( 105 )
| Pages : 197 | US $3350 Onwards | Published Date : 2026-02-02 | Report Code : IR481

Global Agentic AI in Law Enforcement & Surveillance Market Size, Share & Growth Analysis By Offering (Security & Surveillance AI, Law Enforcement Software Solutions, Services), By Technology (Computer Vision, Machine Learning, Deep Learning, NLP), By Deployment Model (Cloud-Based, On-Premises), By Enterprise Size (SMEs, Large Enterprises), By Region & Key Players – Industry Overview, Regulatory Landscape, Market Dynamics, Competitive Strategies, Emerging Trends & Forecast 2026–2034

The Agentic AI in Law Enforcement & Surveillance Market is estimated to reach approximately USD 3.4 billion in 2025 and is projected to surge to around USD 79.6 billion by 2034, registering a very strong compound annual growth rate (CAGR) of about 39.1% during the forecast period from 2026 to 2034. This exceptional growth is driven by rising adoption of autonomous and semi-autonomous AI systems for real-time threat detection, predictive policing, facial recognition, and large-scale video analytics. Law enforcement agencies and public safety organizations increasingly deploy agentic AI to reduce response times, automate surveillance workflows, and enhance situational awareness across smart cities and critical infrastructure.

4/5
( 105 )
| Pages : 197 | US $3350 Onwards | Published Date : 2026-02-02 | Report Code : IR479

Global AI in Space Exploration Market Size, Share & Growth Analysis By Type (Rovers, Robotic Arms, Space Probes), By Application (Robotics, Remote Sensing & Monitoring, Data Analytics, Asteroid Mining, Manned Vehicles & Reusable Launch Systems, Communications, Remote Missions), By End-User (Government, Commercial), By Region & Key Players – Industry Overview, Market Dynamics, Technology Trends, Competitive Landscape & Forecast 2026–2034

The AI in Space Exploration Market is estimated to reach approximately USD 3.1 billion in 2025 and is projected to expand to around USD 48.6 billion by 2034, registering a very strong compound annual growth rate (CAGR) of about 33.2% during the forecast period from 2026 to 2034. Market growth is fueled by rising deployment of AI-driven autonomous navigation, mission planning, and data analytics across satellite operations, deep-space missions, and planetary exploration programs. Space agencies and private players increasingly rely on AI to process massive volumes of satellite imagery, optimize spacecraft performance, and enable real-time decision-making in remote environments. Additionally, growing investments in space commercialization, defense space programs, and AI-enabled robotics are accelerating adoption, positioning AI as a critical enabler of next-generation space exploration and long-term market expansion.

4/5
( 105 )
| Pages : 197 | US $3350 Onwards | Published Date : 2026-02-02 | Report Code : IR478

Global Generative AI in Media and Entertainment Market Size, Share, Growth & Analysis By Type (Text-to-Image, Image-to-Image, Video Generation, Music Generation, 3D Modeling & Animation), By Deployment Mode (Cloud-Based, On-Premise), By Application (Gaming, Film & Television, Advertising & Marketing, Music Production, VR & AR), By Region & Key Players – Industry Overview, Market Dynamics, Competitive Strategies, Emerging Trends & Forecast 2025–2034

The Generative AI in Media and Entertainment Market is estimated to reach approximately USD 2.05 billion in 2025 and is projected to surge to around USD 19.8 billion by 2034, registering an accelerated compound annual growth rate (CAGR) of about 27.1% during the forecast period from 2026 to 2034. This rapid expansion is driven by increasing adoption of AI-powered content creation tools across film, television, gaming, music, and digital advertising platforms. Media companies are leveraging generative AI for scriptwriting, visual effects, animation, personalized content, and virtual production to reduce production costs and shorten development timelines. Additionally, rising demand for immersive experiences, real-time personalization, and scalable content generation is positioning generative AI as a transformative force reshaping creative workflows and monetization models across the global entertainment ecosystem.

4/5
( 105 )
| Pages : 211 | US $3350 Onwards | Published Date : 2026-01-31 | Report Code : IR476

Global Conversational AI and Virtual Agents Market Size, Share, and In-Depth Analysis By Component (Solutions, Services, Professional Services, Managed Services), By Deployment (Cloud, On-Premises), By Technology (NLP, Machine Learning, ASR, Text-to-Speech), By End User (BFSI, Healthcare, IT & Telecom, Retail & eCommerce, Education) Industry Outlook, Regional Analysis, Key Players, Market Dynamics, Competitive Strategies, Trends & Forecast 2025–2034

The Conversational AI and Virtual Agents Market is estimated to reach approximately USD 16.2 billion in 2025 and is projected to expand significantly to around USD 185.0 billion by 2034. Based on an estimated USD 18.0 billion market size in 2026, the market is expected to register a robust CAGR of about 33.8% during the forecast period from 2026 to 2034. This rapid expansion is driven by accelerating enterprise adoption of AI-powered customer engagement solutions, rising deployment of virtual agents across contact centers, banking, healthcare, and e-commerce, and continuous advances in natural language processing and generative AI. Growing demand for scalable, always-on customer support and cost-efficient automation further positions conversational AI as a core component of enterprise digital transformation strategies, supporting strong market momentum across global platforms.

4/5
( 105 )
| Pages : 214 | US $3350 Onwards | Published Date : 2026-01-30 | Report Code : IR470

Global Cloud Telephony Service Market Size, Share, and Strategic Analysis By Deployment (Hosted, Cloud), By Enterprise Size (Small & Medium Enterprises, Large Enterprises), By Network (PSTN, VoIP), By Application (Conferencing, Multi-Level IVR, Sales & Marketing, CRM), By Industry Vertical (BFSI, Healthcare, Retail, Telecom & IT, Government, Education) Industry Outlook, Competitive Landscape, Technology Trends & Forecast 2025–2034

The Global Cloud Telephony Service Market is valued at approximately USD 26.1 billion in 2025 and is projected to reach around USD 63.5 billion by 2034. The market is expected to expand from an estimated USD 27.0 billion in 2026, registering a compound annual growth rate (CAGR) of 11.2% during the forecast period from 2026 to 2034.

4/5
( 105 )
| Pages : 211 | US $3350 Onwards | Published Date : 2026-01-30 | Report Code : IR469

Global Fraud Detection and Prevention Market Size, Share, and Growth Analysis by Component (Solutions, Services), by Technology (AI & Machine Learning, Big Data Analytics, Biometrics, Behavioral Analytics), by Deployment Mode (Cloud-Based, On-Premise), by Application (Payment Fraud, Identity Theft, Cyber Fraud, Insurance Fraud), by End User (Banking & Financial Services, Retail & E-commerce, Healthcare, Government), Regional Outlook, Competitive Landscape, Market Dynamics, Trends, and Forecast 2025–2034

The Fraud Detection and Prevention Market is estimated at USD 43.8 billion in 2024 and is on track to reach roughly USD 271.2 billion by 2034, implying a compound annual growth rate of 20.0% over 2025–2034. This rapid expansion is driven by the surge in digital transactions, real-time payments, and e-commerce activities, which have significantly increased exposure to cyber fraud and financial crimes. Growing adoption of AI, machine learning, and behavioral analytics across banking, retail, healthcare, and government sectors is further accelerating demand. As regulatory scrutiny tightens and fraud techniques become more sophisticated, organizations are prioritizing advanced, scalable fraud prevention platforms as a core component of their digital risk management strategies.

4/5
( 105 )
| Pages : 211 | US $3350 Onwards | Published Date : 2026-01-09 | Report Code : IR467

Global Software Protection Dongle Market Size, Share & Industry Analysis By Type (USB Dongles, Parallel Port Dongles, Network Dongles), By Application (Engineering & CAD Software, Industrial Automation, Healthcare IT, Media & Entertainment, Professional & Enterprise Software), By End User (SMEs, Large Enterprises, Government & Defense), By Security Level (Standard, Advanced Encryption, Cloud-Integrated Licensing), Regional Outlook, Competitive Landscape, Market Dynamics, Emerging Trends & Forecast 2025–2034

The Software Protection Dongle Market is estimated at USD 505.4 million in 2024 and is projected to reach approximately USD 2,180.6 million by 2034, registering a compound annual growth rate (CAGR) of 9.3% over 2025–2034. This robust expansion is driven by the rising need to combat software piracy, license misuse, and unauthorized access across engineering, industrial automation, healthcare, and professional software applications. Increasing adoption of hardware-based security solutions, combined with the growth of high-value proprietary software and subscription licensing models, is reinforcing demand for secure dongle-based protection. Additionally, integration of encryption, cloud authentication, and IoT-enabled license management is positioning software protection dongles as a critical component of modern digital rights management strategies, supporting sustained market momentum over the forecast period.

4/5
( 105 )
| Pages : 211 | US $3350 Onwards | Published Date : 2026-01-07 | Report Code : IR457

Global AI in Event Management Market Size, Share, and Industry Analysis by Component (Software, Services), by Deployment Mode (Cloud-Based, On-Premise), by Application (Event Planning & Scheduling, Attendee Engagement, Marketing & Promotion, Ticketing & Registration, Analytics & Reporting), by Event Type (Corporate Events, Entertainment & Sports, Conferences & Exhibitions, Virtual & Hybrid Events), by End User (Enterprises, Event Organizers, Venues), Regional Insights, Competitive Landscape, Technology Trends, Market Dynamics, and Forecast 2025–2034

The AI in Event Management Market is estimated at USD 3.1 billion in 2024 and is projected to reach approximately USD 18.6 billion by 2034, registering a compound annual growth rate (CAGR) of 19.8% during 2025–2034. This strong expansion is driven by the rapid adoption of AI-powered tools for event planning, audience engagement, and real-time analytics across corporate, entertainment, and large-scale public events. Event organizers are increasingly leveraging AI for personalized attendee experiences, predictive demand forecasting, automated scheduling, and dynamic pricing. In parallel, the rise of hybrid and virtual events, coupled with growing demand for data-driven decision-making and cost optimization, is accelerating AI integration and positioning the market for sustained long-term growth across global event ecosystems.

4/5
( 105 )
| Pages : 208 | US $3350 Onwards | Published Date : 2026-01-06 | Report Code : IR450

Global Wireless Telecom Infrastructure Market Size, Share & Network Analysis By Infrastructure Type (Towers, Small Cells, DAS, Base Stations), By Technology (4G, 5G, Open RAN), By End User (Telecom Operators, Enterprises, Governments), Network Densification Trends, AI-Driven Optimization, Regional Outlook, Key Players & Forecast 2025–2034

The Wireless Telecom Infrastructure Market is estimated at USD 205.6 billion in 2024 and is projected to reach approximately USD 585.4 billion by 2034, registering a compound annual growth rate (CAGR) of about 11.0% during 2025–2034. This sustained expansion is driven by accelerated 5G rollouts, rising mobile data traffic, and continuous investments in network densification through small cells and fiber backhaul. Governments and telecom operators are also prioritizing rural connectivity, private 5G networks, and infrastructure upgrades to support IoT, smart cities, and Industry 4.0 applications. As a result, wireless infrastructure remains a core enabler of digital economies and next-generation communication ecosystems worldwide.

4/5
( 105 )
| Pages : 211 | US $3350 Onwards | Published Date : 2026-01-03 | Report Code : IR440

Global AI Dubbing Tools Market Size, Share & Media Localization Analysis By Type (HPC, SCC, Specialty Concretes), By Deployment (On-Premise, Cloud), By Application (Pavers (Roads & Walkways), Retaining Walls (Soil Stabilization & Landscaping), Precast Elements, Structural Components), By End-Use (Residential, Commercial, Industrial), Multilingual Content Demand, Creator Economy Impact, Key Platforms & Forecast 2025–2034

The AI dubbing tools market is estimated at USD 950.0 million in 2024 and is projected to reach approximately USD 6,150.0 million by 2034, registering a compound annual growth rate (CAGR) of about 20.4% during 2025–2034. This accelerated expansion reflects the rapid globalization of digital content across streaming platforms, gaming, advertising, and e-learning, where demand for fast, scalable multilingual localization is intensifying. Advances in generative AI voice synthesis, real-time translation, and emotion-aware speech models are significantly improving output quality, widening acceptance beyond cost-driven use cases. As content owners prioritize simultaneous global releases and creators seek to monetize international audiences, AI dubbing tools are becoming a core component of modern content production workflows.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2026-01-02 | Report Code : IR436

Global AI in Regtech Market Size, Share & Compliance Automation Analysis By Type (Solutions, Services), By Application (Regulatory Compliance, Risk Management, Financial Crime, Identity Management, Compliance Support, Analytics, Automated Trading), By Operation Model (Unsupervised Learning, Supervised Learning, Reinforced Learning, Semi-Supervised Learning), Regulatory Complexity Trends, Competitive Landscape & Forecast 2025–2034

The AI in Regtech market is estimated at USD 1.6 billion in 2024 and is projected to reach approximately USD 32.4 billion by 2034, registering a robust CAGR of about 34.8% during 2025–2034. This strong growth trajectory reflects escalating regulatory complexity, rising compliance costs, and increased enforcement actions across banking, fintech, and capital markets. Financial institutions are rapidly adopting AI-driven solutions for real-time AML monitoring, fraud detection, and automated reporting to reduce false positives and operational risk. As regulators push for faster, more transparent compliance frameworks, AI-powered Regtech platforms are becoming a core component of digital governance and risk management strategies worldwide.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2026-01-01 | Report Code : IR429

Global AI in Supply Chain Market Size, Share & Digital Logistics Analysis By Component (Software, Hardware, Services), By Technology (Machine Learning, Computer Vision, Natural Language Processing), Application (Inventory Management, Demand Forecasting, Fleet Management, Supplier Management), End-Use (Retail, Transportation & Logistics, Automotive, Food & Beverage, Consumer Goods & Electronics, Healthcare), ROI Impact, Key Vendors & Forecast 2025–2034

The AI in Supply Chain Market is estimated at USD 6.1 billion in 2024 and is projected to reach approximately USD 170.4 billion by 2034, registering a robust CAGR of about 41.9% during 2025–2034. This exceptional growth reflects accelerating adoption of AI-driven demand forecasting, inventory optimization, and autonomous planning tools as enterprises respond to persistent supply disruptions and cost pressures. Integration of generative AI, real-time analytics, and digital twins is enabling faster decision-making across procurement, logistics, and warehousing. As global supply chains prioritize resilience, visibility, and efficiency, AI is rapidly shifting from pilot deployments to mission-critical infrastructure across manufacturing, retail, and logistics networks.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2026-01-01 | Report Code : IR428

Global AI and RAN Traffic Optimization Market Size, Share & Telecom Analytics Analysis By Solution (Traffic Prediction, Load Balancing, Energy Optimization), By Network Type (4G, 5G, Open RAN), By End User (Telecom Operators, Enterprises), AI-Native RAN Trends, Key Vendors & Forecast 2025–2034

The AI and RAN Traffic Optimization Market is estimated at USD 3.3 billion in 2024 and is projected to reach approximately USD 30.1 billion by 2034, registering a robust CAGR of about 30.8% during 2025–2034. This rapid expansion is driven by accelerating 5G rollouts, rising mobile data traffic, and the need for real-time network intelligence to manage increasingly dense and heterogeneous radio access networks. Telecom operators are adopting AI-driven optimization to improve spectral efficiency, reduce latency, and lower operating costs, while supporting advanced use cases such as network slicing, massive IoT, and ultra-reliable low-latency communications. As automation becomes central to self-organizing networks (SON), AI-enabled RAN optimization is emerging as a critical enabler of next-generation telecom performance and scalability.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2025-12-30 | Report Code : IR421

Global Engineering Design Software Market Size, Share & Industry Analysis By Software Type (CAD, CAE, CAM, PLM), By Deployment (Cloud, On-Premise), By Application (Automotive, Aerospace, Construction, Electronics), Digital Twin & AI Integration, Competitive Landscape, Regional Insights, Innovation Trends & Forecast 2025–2034

The Engineering Design Software Market is estimated at USD 47.6 billion in 2024 and is projected to reach approximately USD 152.8 billion by 2034, registering a compound annual growth rate (CAGR) of about 12.4% during 2025–2034. This sustained expansion is driven by accelerating adoption of cloud-based CAD/CAE platforms, AI-enabled generative design, and digital twin technologies across automotive, aerospace, construction, and electronics industries. Enterprises are increasingly leveraging simulation-driven workflows to shorten development cycles, reduce physical prototyping costs, and meet stricter sustainability and compliance requirements. As product complexity rises and time-to-market pressures intensify, engineering design software is becoming a mission-critical investment, supporting long-term demand growth across both developed and emerging markets.

4/5
( 105 )
| Pages : 210 | US $3350 Onwards | Published Date : 2025-12-30 | Report Code : IR419

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