12 Emerging IT Automation Trends to Keep an Eye on

IT automation is transforming businesses and reshaping industries worldwide. It enables organizations to streamline operations, boost efficiency, reduce costs, and deliver exceptional customer experiences.

The field of IT automation continues to rapidly evolve with new trends and innovations. Staying updated on the latest developments is crucial for companies aiming to remain competitive and maximize the benefits of intelligent automation.

This comprehensive guide will explore the top 12 emerging IT automation trends that technology leaders should keep on their radar.

An Overview of IT Automation

Before diving into the key trends, let‘s first establish a clear understanding of what IT automation entails.

IT automation refers to using technology and intelligent systems to automate and optimize IT processes, workflows, and operations. It aims to modernize and streamline tasks that were previously handled manually.

IT automation encompasses a vast range of tools and methodologies, from simple scripting to cutting-edge technologies like artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA).

It carries out repetitive, rules-based tasks with minimal or no human intervention. The primary objectives include:

Increasing efficiency and productivity
Reducing costs
Minimizing errors
Improving customer satisfaction
Enabling scalability

With intelligent automation, IT teams can focus their efforts on high-value responsibilities that drive innovation, strategy, and competitive advantage.

Various industries are implementing automation solutions to optimize large volumes of manual tasks. This empowers data-driven decision making and enhances operational agility.

Now let‘s explore some of the key trends reshaping IT automation across sectors.

Emerging IT Automation Trends

1. Low-Code and No-Code Platforms

Low-code platforms enable developers with limited coding skills to quickly build custom applications. On the other hand, no-code platforms allow non-technical users to independently address their automation and development needs without any coding knowledge.

These easy-to-use visual platforms minimize the effort required for development. Users can simply drag-and-drop interface components to create workflows, integrate systems, and automate tasks.

According to Statista, the global low-code market is predicted to reach approximately $187 billion by 2030. Low-code and no-code platforms empower organizations to rapidly deliver innovations and maintain competitiveness. They also enable non-technical employees to contribute directly to automation initiatives. Leading options include Microsoft Power Apps, Appian, and Zoho Creator.

2. AI and Hyperautomation

AI-driven hyperautomation is an emerging trend combining technologies like RPA, ML, natural language processing (NLP), process mining, and more. It aims to automate increasingly complex workflows.

This advanced form of automation extends beyond basic robotic task execution. It leverages AI capabilities to handle unstructured data, learn from user inputs, understand natural language, and mimic human judgement.

According to Grand View Research, the global hyperautomation market will reach $22.84 billion by 2030, expanding at a CAGR of 22.2%. Key solutions include Microsoft Power Automate, UiPath, SolveXia, and Automation Anywhere.

Hyperautomation delivers various benefits: improved efficiency, increased scalability, reduced errors, and accelerated digital transformation across departments. It also elevates the customer experience.

3. Cloud Automation

Cloud automation refers to using tools and scripts to automate the provisioning, deployment, management, and monitoring of cloud-based infrastructure and application resources.

It aims to optimize and simplify cloud operations that were previously handled manually. This enables organizations to rapidly scale cloud platforms and ensures consistency, compliance, and cost efficiency.

According to Grand View Research, the global cloud automation market size will reach $23.93 billion by 2030, expanding at a CAGR of 22.3%. Top options include Terraform, Red Hat Ansible, and VMware vRealize Automation.

Automating cloud management allows administrators to focus on high-value tasks instead of repetitive configuration and deployment work. It also helps align cloud resources with business demands.

4. Data Pipeline Automation

With vast volumes of data being generated today, organizations are automating their data pipelines for efficient processing. This involves coordinating and monitoring task sequences, detecting issues, and ensuring reliable data delivery.

Data pipeline automation provides transparency into end-to-end workflows. It also enables governance and enhances productivity. Leading tools include Apache Airflow, Prefect, Azkaban, and Kubeflow Pipelines.

Forrester predicts data pipeline automation will become a $3 billion market by 2023. As data volumes and complexity rise, automated data orchestration will be critical for gaining insights.

5. Modern Orchestration Platforms

Enterprise IT environments comprise diverse systems, tools, and technologies. Modern orchestration platforms help coordinate and integrate automated workflows between these components.

They provide a centralized interface to define, schedule, manage, and monitor complex multi-step processes involving both IT and business units. Top options include VMware vRealize Automation, Red Hat Ansible, and BMC Automation.

According to Gartner, over 75% of large organizations will leverage a modern orchestration platform by 2024, improving productivity by 30%.

6. Intelligent Chatbots

Advancements in AI and natural language processing are enabling a new generation of smart chatbots for customer service, HR, IT support, and other business functions.

These bots can understand requests, automate workflows, provide recommendations, and deliver personalized customer experiences. They use techniques like sentiment analysis and contextual awareness to hold human-like conversations.

Leading intelligent chatbot platforms include IBM Watson Assistant, Oracle Digital Assistant, and AWS Lex. According to Grand View Research, the global chatbot market will exceed $102 billion by 2028.

Intelligent chatbots allow organizations to automate customer interactions and support services at scale. They drive productivity and satisfaction by providing 24/7 availability.

7. Robotic Process Automation (RPA)

RPA is one of the fastest growing enterprise automation technologies today. It uses software robots or bots to imitate user actions and automate repetitive, rules-based business processes.

RPA bots interact with applications and systems to perform a vast range of tasks like data entry, report generation, email communication, file transfers, and more. Leading solutions include UiPath, Blue Prism, and Microsoft Power Automate.

According to Grand View Research, the global RPA market will reach $13.74 billion by 2028 at an impressive CAGR of 32.8%. RPA improves efficiency, consistency, compliance, and customer experience across departments.

8. Process Mining

Process mining is an emerging methodology that analyzes system logs and user events to automatically discover and map business processes. This insight enables process enhancement.

It also ensures compliance, identifies bottlenecks, and highlights automation opportunities. Top options include Celonis Process Mining, UiPath Process Mining, and Minit Process Mining.

Per Global Market Insights, the process mining industry will grow from $595 million in 2025 to $10.3 billion by 2032. Process mining and automation are powerful complements.

9. Digital Twin Technology

A digital twin is a virtual representation of a physical product, asset, or system, mirrored with real-time data and insights. This enables simulation, monitoring, and optimization.

Digital twins have diverse automation use cases across manufacturing, energy, healthcare, aviation, and smart cities. Leading platforms include Microsoft Azure Digital Twins, GE Digital Twin, and Siemens Xcelerator.

According to MarketsandMarkets, the digital twin industry will grow from $6.9 billion in 2025 to $106.8 billion by 2030, at a CAGR of 46%. Digital twins allow "what if" scenario modeling to evaluate innovations.

10. AIOps Platforms

AIOps platforms leverage artificial intelligence and machine learning to automate IT operations processes like event correlation, anomaly detection, and predictive analytics.

This enables rapid insights and intelligent automation across infrastructure monitoring, service management, application performance, and cybersecurity. Top options include Moogsoft, Broadcom DX AIOps, and IBM Cloud Pak for Watson AIOps.

According to MarketsandMarkets, the global AIOps platform market will grow from $2.55 billion in 2019 to $35.81 billion by 2027 at a CAGR of 33.7%. AIOps-driven automation enhances IT resilience, efficiency, and service delivery.

11. Low-Code Test Automation

Low-code test automation solutions allow non-developers to automate testing processes and workflows using simple visual interfaces and pre-built integrations.

They minimize the complex scripting traditionally required for test automation. Leading options include Tricentis Tosca, Eggplant Digital Automation Intelligence, and Ranorex Studio.

According to the 2022 World Quality Report, test automation adoption saw 10% year-over-year growth, with increasing priority on enabling low-code access for wider business teams.

12. Automation Ops Platforms

Automation Ops platforms provide MLOps capabilities tailored for scaling enterprise automation like RPA bots, test automation, and process automation.

They enable tools like version control, CI/CD pipelines, bot monitoring, and model governance to operationalize automation at scale. Leading options include Microsoft‘s Azure Machine Learning, UiPath Automation Cloud, and IBM Cloud Pak for Watson AIOps.

According to Gartner, 60% of organizations will have comprehensive MLOps and AIOps disciplines in place by 2025, up from less than 20% in 2021. Automation Ops platforms will be integral enablers.

Key Takeaways

IT automation continues to rapidly evolve, shaped by emerging innovations in AI, ML, RPA, data analytics, cloud platforms, and more.

Here are the key trends that technology leaders should track:

Low-code and no-code solutions are empowering wider business teams to participate in automation.
AI-driven hyperautomation tackles increasingly complex digital transformation initiatives.
Cloud automation brings agility, consistency, and scalability to cloud platforms.
Data pipeline automation enables data orchestration and governance.
Modern orchestration connects workflows between diverse systems and tools.
Intelligent chatbots are transforming customer and employee experiences.
RPA is bringing dramatic productivity improvements.
Process mining combined with automation drives business optimization.
Digital twins allow virtual modeling of assets and processes.
AIOps applies intelligence for automated IT operations.
Low-code test automation expands quality assurance.
Automation Ops platforms provide MLOps for scaling enterprise automation.

These innovations mark an era where technologies can interact with the world similarly to humans. This makes systems more flexible, resilient, and capable of excelling at both routine and complex work.

Adopting the trends that align with strategic priorities will be vital for boosting agility and establishing competitive advantage. IT leaders must continue exploring the latest advancements to harness automation‘s full transformative power.