The AI Workflow Orchestration Market is being driven by Increasing complexity and scale of AI and machine learning models
The AI Workflow Orchestration Market is expected to grow at a CAGR of 32.2% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 14013 million. The AI workflow orchestration market is experiencing a significant shift from Machine Learning Operations (MLOps) to Large Language Model Operations (LLM-Ops). This evolution is driven by the increasing complexity of generative AI applications, which require dynamic, multi-step workflows that go beyond the traditional data-in-model-out pipeline. These workflows may involve conversational patterns, such as Retrieval-Augmented Generation (RAG), where models interact with knowledge bases to retrieve relevant information before generating responses. Additionally, the emergence of AI agents adds another layer of intricacy, as they perform actions, utilize tools via function calling, and engage with external systems. This transition signifies a move towards more sophisticated AI workflow management solutions.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
237 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 32.2% |
Market growth 2025-2029 |
USD 14013 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
27.0 |
Key countries |
US, China, India, Germany, UK, Brazil, France, Japan, Canada, and Italy |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI Workflow Orchestration Market encompasses solutions that automate and manage complex workflows involving task scheduling, parallel processing, error handling, and exception management. Additionally, it offers features for data validation, compliance requirements, version control, change management, and deployment pipeline. Continuous integration and delivery, monitoring alerts, incident management, capacity planning, and resource allocation are also integral parts. Advanced capabilities include performance tuning, cost optimization, SLA management, workflow governance, process standardization, data governance, security auditing, risk management, business continuity, and disaster recovery. Furthermore, it incorporates knowledge graph, semantic technologies, graph database, ontology modeling, and metadata management for enhanced functionality.
The global IT software market encompasses businesses specializing in the development and production of application, system, and database management software. Notably, the application software sector focuses on creating software for specific business or consumer needs, including enterprise and technical applications, as well as cloud-based solutions. Technavio determines the market size by aggregating the revenues of companies providing various IT software offerings, including AI workflow orchestration tools featuring workflow automation, intelligent task routing, and AI-driven orchestration. These solutions streamline business processes, enhancing efficiency and productivity.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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