What Has Been The Evolution of the Generative AI In Analytics Market in Recent Years?
The generative ai in analytics market has seen considerable growth due to a variety of factors.
• The market for generative AI in analytics has seen remarkable growth in the past few years, expanding from a size of $1.3 billion in 2024 to $1.7 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 31.2%.
This significant development in the historical period has been driven by a range of factors, including the surge in data volumes, refinement of deep learning algorithms, elevation in computational potential, the widespread of cloud computing services, and the dominance of big data analytics.
What Is the Forecasted Market Size and Growth Rate for The Generative AI In Analytics Market Size In The Coming Years?
The generative ai in analytics market is expected to maintain its strong growth trajectory in upcoming years.
• The market size for generative AI in analytics is projected to experience an immense increase in the coming years. It is anticipated to reach $4.98 billion in 2029 with a compound annual growth rate (CAGR) of 30.9%.
The aforementioned growth in the projection period is credited to the integration of IoT devices, advent of explainable AI (XAI), the application of federated learning practices, the implementation of AI-driven automation in business procedures, and the coupling of generative AI with natural language processing (NLP) applications. Noteworthy trends within the projection period consist of the democratization of generative AI tools, increased emphasis on the ethical development of AI, propagation of generative adversarial networks (GANs), an upsurge of AI-enhanced creativity in content production, and the widening of generative AI applications in the healthcare and life science sectors.
What Factors Are Driving Growth In The Generative AI In Analytics Market?
The surge in the need for content created by AI is predicted to boost the generative AI in the analytics market. AI-created content refers to digital assets like text, images, or videos, which are made or produced using AI algorithms and technologies. Its ability to deliver customized and relevant content at scale efficiently is fueling demand, leading to better user engagement and lower business production costs. Generative AI models are capable of analyzing vast datasets to detect patterns, trends, and insights, which can be used to create content like articles, reports, and creative works. As an illustration, DOIT Software, a U.S. company that excels in business software and AI tools, reported that in February 2024, the generative AI platform ChatGPT had an estimated 57 million users in 2022, a figure that skyrocketed to 100 million by January 2023. Consequently, the increasing need for AI-created content is advancing the generative AI's growth in the analytics market.
What Are The Main Segments Of The Global 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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What Emerging Trends Are Influencing The Growth Of The Generative AI In Analytics Market?
Prominent businesses in the generative AI in analytics market are turning to innovative technologies such as AI-based video analytics to maintain their market standing. These applications, which use machine learning and deep learning algorithms, analyze video data to provide critical insights and conclusions. For example, Dallmeier Electronic GmbH & Co. KG, a German firm specializing in the creation and production of video security solutions, launched Sedor AI, an AI-based video analytics tool for maritime use in September 2022. The Sedor AI program is designed to detect vessels on clear water surfaces under normal as well as challenging conditions, such as waves and water reflections. The application is compliant with legal standards such as the ISPS (International Ship and Port Facility Security) Code, assisting port operators and refineries in averting unauthorized waterside entry and associated risks such as piracy and terrorist attacks.
Who Are the Key Players 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.
What Is The Most Dominant Region In The Generative AI In Analytics Market?
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.
