Thematic Intelligence: Intelligent Automation

Intelligent automation goes beyond traditional enterprise automation, incorporating artificial intelligence (AI) to manage complex business processes. It does not just improve efficiency; it drives innovation, making it essential for any organization aiming to advance its automation strategies to remain competitive. The COVID-19 pandemic highlighted the importance of digital transformation, pushing businesses to adopt automation on a broader scale. This new era of automation goes beyond simple task execution, allowing systems to analyze data, make decisions, and learn from interactions. This increases efficiency and fosters innovation, potentially leading to a future where software bots not only perform tasks but also drive strategic growth and creativity. The analyst estimates the intelligent automation market will be worth $47 billion by 2030.

Key Highlights

• AI is now integrated across most facets of intelligent automation. AI helps intelligent automation tools handle unstructured information and supports decision-making processes, enhancing system adaptability and reducing the need for frequent human intervention. Key AI technologies, including machine learning and conversational platforms, drive this transformation.
• Generative AI is the hottest trend within intelligent automation, capable of generating new, contextually relevant content from simple prompts. Most intelligent automation players have integrated generative AI capabilities through solutions like OpenAI’s ChatGPT and developed bespoke tools. These advancements have expanded the scope of automatable tasks and democratized access to automation technology, enabling non-technical employees to craft solutions despite their lack of coding skills. Following its rapid adoption, generative AI will face many challenges, including the need for stringent governance to ensure compliance and maintain security.

Scope

• This report provides an overview of the intelligent automation theme.
• It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.
• It includes a global market forecast for the intelligent automation software and services market, alongside analysis of the analyst's signals data, including M&As, venture financing, patents, company filings, and hiring.
• It contains a timeline highlighting milestones in the development of intelligent automation.
• The detailed value chain comprises five main segments: process discovery, process optimization, process management, process automation, and process enhancement. Leading and challenging companies are identified for each value chain segment.

Reasons to Buy

• The COVID-19 pandemic underscored the need to digitize manual processes and highlighted the benefits of coordinating automation across enterprises. Automation providers have responded by consolidating their platforms or forming partnerships under the intelligent automation umbrella to address every aspect of the automation value chain, moving away from offering stand-alone capabilities.
• In the analyst's intelligent automation value chain, RPA and AI are integrated alongside other key technologies, such as process mining, low-code/no-code development, and business process management. These technologies are categorized into five broad areas to provide a comprehensive framework for deploying enterprise-wide automation. This report is an invaluable guide to a disruptive theme that will impact companies across industries.