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Transformative Trends Impacting the Generative AI In Analytics Market Landscape: Intelligent Video Analytics Systems Market
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.How Large Will the Generative AI In Analytics Market Size By 2025?
In recent times, the market size for generative AI in analytics has seen significant expansion. A rise from $1.3 billion in 2024 to $1.7 billion in 2025 is predicted, marking a compound annual growth rate (CAGR) of 31.2%. This surge in the historical phase can be linked to the escalation of data volumes, progress in deep learning algorithms, enhanced computational capacity, the proliferation of cloud computing structure, and the emergence of big data analytics.
How Big Is the Generative AI In Analytics Market Size Expected to Grow by 2029?
The market size for generative AI in analytics is set to witness phenomenal growth in the upcoming years. It's projected to soar to $4.98 billion by 2029, at a compound annual growth rate (CAGR) of 30.9%. Factors contributing to growth during this period include integration with IoT gadgets, the rise of explainable AI (XAI), the implementation of federated learning methods, the surge of AI-based automation in business operations, and the fusion of generative AI with natural language processing (NLP) applications. Key trends during this period are an increase in the democratization of generative AI tools, a heightened focus on ethical AI production, the proliferation of generative adversarial networks (GANs), the emergence of AI-enhanced creativity in content creation, and the broadening applications of generative AI in the healthcare and life sciences sectors.
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Which Key Market Drivers Powering Generative AI In Analytics Market Expansion and Growth?
The increase in the need for content produced by artificial intelligence is likely to stimulate the expansion of the generative AI in analytics market. AI-generated content encompasses digital materials such as text, pictures, and videos, generated or created using AI algorithms and technologies. The intensified demand for AI-generated content is attributed to its proficiency in offering personalized and relevant content on a large scale, boosting user interactions and lowering business production expense. Generative AI models are capable of analyzing extensive data sets to pinpoint patterns, trends, and insights that can be employed to generate content like articles, reports, and creative works. For example, in February 2024, DOIT Software, a US-centered business software and AI tools company, reported that their generative AI platform ChatGPT had an estimated engagement of 57 million individuals in 2022, which dramatically increased to 100 million by January 2023. Consequently, the escalating requirement for AI-produced content fuels the expansion of the generative AI in analytics market.
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Which Fast-Growing Trends Are Poised to Disrupt the Generative AI In Analytics Market?
Key companies in the generative AI in analytics sector are advancing technologies such as AI-powered video analytics to maintain market prominence. AI-enhanced video analytics tools are software applications that leverage machine and deep learning algorithms to examine video data for actionable insights and findings. For example, in September 2022, Dallmeier Electronic GmbH & Co. KG, a German firm specializing in video security technology solutions, unveiled Sedor AI, an AI-driven video analytics solution for maritime uses. Sedor AI is designed to detect vessels on clear water surfaces in both regular and challenging conditions, including waves and water reflections. The software complies with legal standards such as the ISPS (International Ship and Port Facility Security) Code and assists port handlers and refineries in averting unauthorized access from the water side and associated risks such as piracy and terrorist threats.
What Are the Emerging Segments in the Generative AI In Analytics Market?
The generative AI in analytics market covered in this report is segmented -
1) By Technology: Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Robotic Process Automation
2) By Deployment: Cloud-Based, On-Premise
3) By Application: Data Augmentation, Anomaly Detection, Text Generation, Simulation And Forecasting
Subsegments:
1) By Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Semi-Supervised Learning
2) By Natural Language Processing (NLP): Text Generation, Sentiment Analysis, Language Translation, Speech Recognition
3) By Deep Learning: Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (Gans)
4) By Computer Vision: Image Classification, Object Detection, Image Generation, Facial Recognition
5) By Robotic Process Automation (RPA): Workflow Automation, Intelligent Process Automation, Cognitive Automation, Chatbot Integration
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Who Are the Global Leaders in the Generative AI In Analytics Market?
Major companies operating in the generative AI in analytics market report are Amazon Inc.; Apple Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; accenture* PLC; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; NVIDIA Corporation; Adobe Inc.; Block Inc.; Automatic Data Processing Inc.; ServiceNow Inc.; Workday Inc.; Atlassian Corporation; Slack Technologies Inc.; OpenAI; MongoDB Inc.; Box Inc.; SG Analytics Pvt. Ltd.; Decimal Point Analytics Pvt; Gramener Inc.; Anthropic PBC; Valiance Solutions Inc.
Which are the Top Profitable Regional Markets for the Generative AI In Analytics Industry?
North America was the largest region in the generative AI in analytics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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