Global Generative Artificial Intelligence (AI) In Automation Market
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Generative Artificial Intelligence (AI) In Automation Market 2025-2034: Key Highlights, Growth Dynamics, and Emerging Trends

2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!

What External and Internal Drivers Are Contributing to the Growth of theGenerative Artificial Intelligence (AI) In Automation Market?

The broader use of industrial robots is anticipated to accelerate generative AI in automation. These robots perform precise manufacturing tasks and help improve efficiency. Their growing adoption stems from cost reduction and quality improvement. Generative AI enables robots to adapt quickly, plan efficiently, and simulate operations. According to the International Federation of Robotics, Europe saw 72,000 new robot installations in 2022, a 6% increase from 2021, driving growth in generative AI in automation.

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#What is the Anticipated CAGR of theGenerative Artificial Intelligence (AI) In Automation Market, and What Factors Will Drive It?

The generative AI in automation market size will grow from $1.53 billion in 2024 to $1.79 billion in 2025, with a CAGR of 17.2%. The historic growth is driven by increased computational power, the rise of big data, improvements in natural language processing, demand for personalized solutions, widespread cloud computing adoption, and advances in neural networks.

The generative AI in automation market size is expected to grow to $3.33 billion in 2029 at a CAGR of 16.9%. This growth is due to demand for intelligent process automation, cross-industry adoption, AI investments, operational efficiency, and customer experience enhancement. Key trends include enhanced machine learning models, IoT integration, improved NLP capabilities, AI-driven decision-making, personalized AI solutions, and ethical AI development.

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Which Upcoming Market Trends and Innovations Are Set to Influence theGenerative Artificial Intelligence (AI) In Automation Market’s Path Forward?

Companies in the generative AI in the automation market are developing workflow automation platforms to simplify complex workflows by automating repetitive tasks and decision-making processes. Workflow automation platforms help organizations optimize operations by automating business processes, increasing efficiency, reducing manual effort, and ensuring consistent execution. For example, in February 2024, Tungsten Automation, a US-based software company, launched TotalAgility 8, a business process management (BPM) and workflow automation platform. The platform includes AI-powered Copilots and extensive document libraries, enabling users at all skill levels to streamline operations. With this launch, Tungsten Automation strengthens its position as a leader in the Intelligent Automation space, driving significant organizational transformation.

Who Are the Dominant Market Players Pushing the Boundaries of theGenerative Artificial Intelligence (AI) In Automation Market?

Major companies operating in the generative artificial intelligence (AI) in automation market are Microsoft Corporation, Amazon Web Services Inc., Siemens AG, General Electric Company, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Salesforce Inc., Nvidia Corporation, Zebra Technologies Corp., Autodesk Inc., SAS Institute Inc., OpenAI, Databricks Inc., UiPath Inc., Quantiphi, Darktrace plc, Automation Anywhere Inc., C3.ai Inc., Blue Prism, Google DeepMind Technologies Limited, Cerebras Systems Inc., Syntiant Corp., Clarifai Inc., Trifacta

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What Are the Core Segments of the Generative Artificial Intelligence (AI) In Automation Market, and How Do They Contribute to Growth?

The generative artificial intelligence (AI) in automation market covered in this report is segmented –

1) By Technology: Computer Vision, Natural Language Processing (NLP), Reinforcement Learning, Deep Learning, Other Technologies

2) By Application: Robotic Process Automation (RPA), Process Optimization, Intelligent Chatbots, Predictive Maintenance, Quality Control And Anomaly Detection, Other Applications

3) By End Users: Automotive, Aerospace, Electronics, Consumer Goods, Other End Users

Subsegments:

1) By Computer Vision: Image Recognition, Object Detection, Facial Recognition, Image Segmentation, Optical Character Recognition (OCR)

2) By Natural Language Processing (NLP): Text Analysis, Speech Recognition, Sentiment Analysis, Chatbots and Virtual Assistants, Machine Translation

3) By Reinforcement Learning: Model-Based Reinforcement Learning, Model-Free Reinforcement Learning, Deep Reinforcement Learning, Multi-Agent Reinforcement Learning

4) By Deep Learning: Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (GANs), Autoencoders

5) By Other Technologies: Robotic Process Automation (RPA), Edge AI, Quantum Computing in AI, Federated Learning, Explainable AI (XAI)

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What Regions Are Dominating the Generative Artificial Intelligence (AI) In Automation Market Growth?

North America was the largest region in the generative artificial intelligence (AI) in automation market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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