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Adaptive AI Market Size, Share & Trends Analysis Report by Component (Platform and Services), by Technology (Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing (NLP) and Computer Vision), by Application (Real-time Adaptive AI, Offline Learning and Adaptation, Context-aware Adaptation and Autonomous Decision-Making) and by End-User (BFSI, Healthcare & Life Sciences, IT & Telecommunications, Aerospace & Defense, Manufacturing, Retail & E-commerce and Others) Forecast Period (2024-2031)

Adaptive AI market is anticipated to grow at a CAGR of 11.8% during the forecast period (2024-2031). The market growth is attributed to the increasing adoption of adaptive AI to automate and optimize repetitive processes and resource allocation drives the growth of the market. By empowering companies to make more accurate and efficient decisions, adaptive AI has the potential to completely transform the way that decisions are made. Companies may reach their maximum potential and successfully navigate new opportunities by implementing adaptive AI and realizing its vast potential.

May 7, 2024

AI as a Service Market Size, Share & Trends Analysis Report by Technology (Machine Learning, Natural Language Processing, Context Awareness, and Computer Vision), by Cloud Type (PublicCloud, HybridCloud, and PrivateCloud), by Offering (Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), and by Vertical (BFSI, Healthcare and Life Sciences, Retail, IT & Telecommunication, Government and Defense, Manufacturing, Energy & Utility, Others) Forecast Period (2024-2031)

AI as a service market is anticipated to grow at a significant CAGR of 17.7% during the forecast period (2024-2031). The market growth is attributed to the growing adoption of AI as a service in no-code or low-code Machine Learning (ML) services, ML frameworks, and Application Programming Interfaces (APIs). With little risk and no significant upfront costs, AI as a service (AIaaS) empowers people and organizations to experiment with AI and deploy it for large-scale use cases.

May 7, 2024

AI Deepfake Detector Tool Market Size, Share & Trends Analysis Report by Type (Voice Detector, Image Detector and Video Detector), by Application (Media & Entertainment, Telecom, Legal, Healthcare, Government, BFSI and Retail & E-commerce), and by Technology (Generative Adversarial Networks, Autoencoders, Recurrent Neural Networks(RNNS), Transformative Models and Natural Language Processing (NLP)) Forecast Period (2024-2031)

AI deepfake detector tool market is anticipated to grow at an exponential CAGR of 32.4% during the forecast period (2024-2031). The detection of photos or videos that have been altered or made fraudulently to trick viewers is known as deepfake detection. Deepfake identification is essential for ensuring the legitimacy and dependability of visual content in a variety of industries, including cybersecurity, law enforcement, social media, and journalism.