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Key Trends Shaping the Future Generative AI In Analytics Market From 2025-2034: Intelligent Video Analytics Systems Market
Generative AI In Analytics Market Trends
The generative AI in analytics market will grow from $1.3 billion in 2024 to $1.7 billion in 2025, reflecting a CAGR of 31.2%. The growth is attributed to increasing data volumes, advancements in deep learning algorithms, enhanced computational power, cloud computing infrastructure expansion, and the rise of big data analytics.
The generative AI in analytics market is projected to grow to $4.98 billion by 2029 at a CAGR of 30.9%. Growth is driven by IoT integration, federated learning techniques, AI-driven automation, and NLP applications. Trends include ethical AI development, the rise of generative adversarial networks (GANs), and expanded applications in healthcare.
What Are the Forces Behind the Rapid Growth of the Generative AI In Analytics Market?
The increasing demand for AI-generated content is expected to drive the growth of the generative AI in analytics market moving forward. AI-generated content includes digital formats like text, images, and videos produced through artificial intelligence algorithms and technologies. This demand is growing due to AI's ability to create personalized and relevant content at scale, enhancing user engagement while cutting production costs. Generative AI models can analyze vast datasets to spot patterns, trends, and insights, generating content such as articles, reports, and creative works. For example, in February 2024, DOIT Software, a US-based company specializing in business software and AI tools, reported that ChatGPT saw 57 million users in 2022, with its usage reaching 100 million by January 2023. As such, the increasing demand for AI-generated content is boosting the growth of the generative AI in analytics market.
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Who Are the Dominant Companies Influencing Generative AI In Analytics Market Trends?
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.
How Is the Generative AI In Analytics Market Evolving?
In the generative AI in analytics market, companies are introducing advanced AI technologies like video analytics to maintain their market positions. For example, in September 2022, Dallmeier Electronic GmbH & Co. KG, a Germany-based company, introduced Sedor AI, a maritime video analytics software that uses AI to detect vessels on water, even in challenging conditions, helping port operators and refineries enhance security.
What Are the Different Segmentations 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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Which Region Is at the Forefront of 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.
What Is Covered In The Generative AI In Analytics Global Market Report?
- Market Size Analysis: Analyze the Generative AI In Analytics Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Generative AI In Analytics Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Generative AI In Analytics Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Generative AI In Analytics Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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