Intelligent Automation Market Size, Share, Growth, Trends, and Global Industry Analysis: By Technology (Natural Language Processing, Machine And Deep Learning, Neural Networks, Virtual Agents, Mini Boats, Computer Vision, and Others), By Component (Service, and Solution), By Deployment Mode (Cloud, and On-Premise), By Application (Enterprise Content Management, Business Process Management, Customer Experience Management, Business Intelligence And Analytics, Enterprise Mobility, and Others), By Industry (BFSI, IT and Telecom, Automotive, Education, Retail, Agriculture, Healthcare, and Others), and Region Forecast 2019-2030

The intelligent automation market size was valued at US$ 12,467.3 million in 2023 and is projected to reach a value of US$ 29,696.0 million by 2030, at a CAGR of 13.2% from 2024-2030. Moreover, the U.S. intelligent automation market is projected to grow significantly, reaching an estimated value of US$ 17,668.1 million by 2032.

The increasing efficiency and cost savings, along with the advancements in AI and machine learning, increasing demand for data analysis, and improvements in customer experience are some key factors fueling the market growth. Intelligent automation also experiences restraints such as high initial investment and integration complexities, lack of skilled professionals, and security concerns. Rising adoption by SMEs, expansion into emerging markets, and increasing demand for customizable solutions provides opportunities for market growth. However, rapid changes in technology, regulatory challenges, and severe competition will affect the market growth negatively.

Key Players

Key players in the intelligent automation market include UiPath, Automation Anywhere, Blue Prism, IBM, Microsoft, Pega Systems, WorkFusion, Appian, Kofax, ServiceNow, SAP, Oracle, Nintex, Zoho, Celonis, AntWorks, ThoughtSpot, TIBCO Software, Kryon Systems, HelpSystems, Inflectra, Integromat (now Make), AutomationEdge, ABBYY, DataRobot, and Onfido. These companies are significantly impacting the development and adoption of intelligent automation solutions across various industries.

Key Takeaways

• The Fastest growing region in intelligent automation is the Asia-Pacific (APAC) region.
• The largest region in market terms is usually North America
• Based on the technology, machine, and deep learning segment holds a 29.3% market share
• Based on the component, the service segment holds a 58.9% market share
• Based on the deployment mode, the cloud segment holds a 63.2% market share
• Based on the application, the business intelligence, and analytics segment hold 32.1% market share
• Based on the industry, BFSI segment holds 27.3% market share

Facts & Figures

• As of April 2023, 80% of companies in the BFSI sector have implemented some form of robotic process automation.
• By mid-2024, it is estimated that 40% of all customer interactions will be automated using intelligent technologies
• As of January 2024, 55% of organizations indicated they were using cloud-based automation solutions

Key Developments

• In April 2024: IBM released Watson Assistant with new automation capabilities to streamline customer service processes
• In January 2024: UiPath introduced AI-driven features to improve process automation and decision-making.
• In June 2024: Pega Systems introduced AI-powered decisioning to improve real-time decision-making in automated workflows.

Intelligent Automation Market Segmentation

By Technology: The machine and deep learning segment are dominating the market. This is a core requirement to enhance the capabilities of automation systems with abilities to learn from data and make predictions while further improving decision-making processes. Growing demand for advanced analytics and predictive insights drives the adoption of technologies in these industries. In short, NLP follows close by wherein the role of NLP lies significantly in areas like automation of customer interactions through chatbots and virtual assistants enhancing the quality of customers' experience. Computer Vision also has gained much importance wherein it has become important for sectors like manufacturing, retail, and healthcare where visual data needs to be analyzed for automation purposes

By Components: Segmentation of the market into its Service and Solution component indicates that the Solution segment generally takes the lead. The segment includes a plethora of diverse forms of automation software and tools that would consist of RPA platforms and systems of artificial intelligence, all of them intended to fulfill certain business needs and enhance overall operational efficiency. Where the Service segment comprises consulting, implementation, and support services intended to help an organization adopt and optimize those automation solutions while it is the support services to ensure successful integration and a full realization of the benefits from automation; however, in case market shares are considered and increases are accounted for in terms of growth, then the Solutions segment usually captures a larger market share and exhibits more significant growth, owing to business fundamentals forcing them to increasingly depend on robust technology to enhance productivity and operational efficiencies.

By Deployment Mode: The deployment mode segmentation in the market would consist of two modes, Cloud and On-Premise. The market is generally dominated by the latter - Cloud. Typically, cloud solutions are preferred because they are scalable and flexible in usage, thereby keeping the costs of running and those of infrastructure relatively modest, allowing organizations to access and deploy automation tools effortlessly, without incurring heavy upfront investment in infrastructure. This trend is quite sharp in companies that adopt digital transformation and work to achieve the benefits of automation with full efficiency. On the other hand, On-Premise deployment may still be a preferable solution for those organizations that need strict data security and compliance requirements that would allow more control over sensitive information as well as infrastructure.

By Application: The market is segmented by Application: usually, the ECM and BPM. In this regard, the Business Process Management segment often comes first as organizations are more interested in optimizing and automating complex workflows to generate greater efficiency and lower operational costs. Some solutions for BPM include process design, execution, monitoring, and analysis; businesses can, therefore, enhance productivity and responsiveness. On the other side, Enterprise Content Management plays a very important role in managing and streamlining the overall information and documents of an organization. Although ECM is very important for good data management and compliance, the trend will be to favor BPM as an approach for the automation and fine-tuning of business processes across the board, thereby enhancing much better degrees of operational excellence.

By Industry: In the market, by Industry, there are individual sectors like BFSI (Banking, Financial Services, and Insurance), IT and Telecom, Automotive, Education, Retail, Agriculture, Healthcare, and Others. The sector BFSI usually takes the top spot in this industry segmentation as it highly demands automation processes primarily in fields like transaction processing, compliance, and customer service due to the extreme precision and efficiency required. The following companies belong to the Healthcare industry, automating in a manner that provides greater efficient patient care and simplifies administrative tasks while ensuring effective data management. Compared to other industries, the IT and Telecom sectors are quite aggressive when taking up automation to maintain infrastructure alongside optimized service delivery. Others under this category are Retail and Education as the two take on intelligent automation in the hope that this may improve the customer experience while simplifying the involved processes.