Generative AI in Process Mining Market size is expected to be worth around USD 164.4 Mn by 2032 from USD 8.5 Mn in 2022, growing at a CAGR of 35.5% during the forecast period from 2023 to 2032.
The generative AI in process mining refers to the market for technologies, solutions, and services combining generative artificial intelligence (AI) techniques with process mining methodologies. Process mining involves analyzing event logs and data from business processes to extract insights, identify patterns, and optimize process efficiency. Generative AI, on the other hand, focuses on creating new data or models based on existing data.
Generative AI in process mining brings together the power of AI-driven generation & process analysis to provide organizations with deeper insights into their operational processes. This approach can generate synthetic event logs or simulate process behavior by leveraging generative AI techniques such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), allowing organizations to explore alternative process scenarios, predict outcomes, and optimize their operations.
Every process has multiple relevant perspectives. Generative AI can provide contextualized process views for sharper analysis. Based on analyst prompts like “supply chain viewpoint focused on shipping,” generators produce custom event logs filtered to specific process facets. Tailored synthetic data highlights details invisible in raw logs, enabling focused mining. Analysts gain precision through context, revealing insights that apply within particular operating environments. Generative techniques can also extrapolate beyond available data, simulating previously unseen scenarios to broaden perspective. Contextual process mining with AI will permeate analytics across functions, levels, and use cases.
Generative AI in Process Mining Market: https://marketresearch.biz/report/generative-ai-in-process-mining-market/
