Global Intelligent Automation Market Size, Forecast and Trend Highlights Over 2025-2037
Intelligent Automation Market size was valued at USD 9.1 billion in 2024 and is projected to reach USD 84.2 billion by the end of 2037, rising at a CAGR of 18.6% during the forecast period, i.e., 2025–2037. In 2025, the industry size of intelligent automation is estimated at USD 11.2 billion.
The market functions across the global supply chain and requires AI chip manufacturers, industrial automation integrators, software developers, and cloud infrastructure providers. The key material hardware, such as sensors and semiconductors, is procured from the U.S., Taiwan, South Korea, and Germany. According to the data published by the U.S. Census Bureau in 2023, the import of semiconductors surpassed USD 55.6 billion. The data shows the reliance on precision components for the automation applications.
Additionally, the parameters such as the Consumer Price Index (CPI) for the IT and associated services have remained steady, remarking a stable pricing for enterprise users. The public-private partnership has been propelled by federal investment in intelligent automation in executing programs such as the National Artificial Intelligence Initiative Act of 2020. Additionally, in 2023, over USD 1.5 billion was budgeted for research and development in automation and AI technologies via the National Institute of Standards and Technology. Similarly, on the factory floor, the assembly line optimization is becoming highly dependent on adaptive automation. The data published by the U.S. Department of Commerce shows that investments made in the production of intelligent robots and automation grew by USD 4.6 billion in U.S. manufacturing facilities. Also, the pharmaceutical and automotive sectors remained the largest adopters of automation and AI. These advancements are hugely supported by initiatives such as the Manufacturing USA network, which has accelerated the deployment of smart automation pilots across almost 15 national innovative institutes.
Intelligent Automation Sector: Growth Drivers and Challenges
Growth Drivers
- Rise of Intelligent Process Automation (IPA) and Cognitive AI: The intelligent automation is an amalgamation of ultra-advanced technologies such as process mining, AI/ML, and natural language processing. The adoption of IPA enables the automation of repetitive tasks and enhances decision-making in real time. Research Nester found that the adoption of IPA eradicates the operational cost by up to 3.5%. Software such as IBM Watson Orchestrate enables organizations to automate workflows using NLP, eradicating HR processing time by 41%. Various companies are demanding a dynamic workflow to manage the unstructured data, particularly in sectors such as healthcare and finance.
- Digital transformation acceleration post-pandemic: The advent of the pandemic compelled companies to adopt digital technologies, and automation became the foundation in successfully enduring this transition. It has been estimated that global expenditure on automation-associated digital transformation is projected to surpass USD 2.1 trillion by 2026. For instance, Amazon implemented intelligent automation in logistics and garnered 25.3% faster turnaround during the surge of the pandemic. Various market players are prioritizing automation in customer support and implementing e-commerce operations.
- Smart manufacturing and industry 4.0: The intelligent automation fuels the efficiency across the integrated smart manufacturing ecosystem. For instance, Siemens utilizes intelligent automation to eradicate downtime by 18.2% in its electronics manufacturing. Also, the deployment of predictive maintenance with the use of IoT and RPA leads to a 25.3% reduction in the failure of the equipment. Countries such as South Korea, Germany, and Japan are the trailblazers in including intelligent automation with public-private partnership in the rollout of Industry 4.0.
Technological Trends Shaping the Intelligent Automation Market
The AI and ML technologies are integrated into intelligent automation solutions to increase the operational workflows. For example, prominent companies are utilizing AI-driven simulation tools to shorten the product development cycles and predictive analytics for the maintenance of the equipment. The inclusion of such applications is delivering almost 20.5% of cost savings in logistics and a 16-30% reduction in development time. Companies such as Siemens are using AI tools to reduce supply chain latency by 20.5%, and ABB witnessed 18.5% asset uptime by leveraging machine learning for predictive maintenance.
Table: AI & ML Adoption in the Global Intelligent Automation Market
|
Company |
Integration of AI and Machine Learning |
Outcome |
|
Siemens (2024) |
Artificial Intelligence for the optimization of the supply chain |
Reduced logistics costs by 20.5% and enhanced demand accuracy by 18.6% |
|
Honeywell (2024) |
Vision AI in smart factory automation to detect defects |
Enhanced product quality by 31% and reduced inspection time by 40.5% |
|
ABB (2023) |
Machine learning based predictive maintenance in industrial automation systems |
Surge in asset uptime by 18.5%, less maintenance costs by 22.5% |
|
UiPath (2023) |
AI simulations for process automation design |
25.5% reduction in the time for both deployment |
|
Schnieder Electric |
AI-driven workflow, orchestration, and NLP-powered virtual assistants |
35.4% reduction in the customer query resolution and enhanced consumer satisfaction |
Rising Cybersecurity Threats in Intelligent Automation:
Enterprises are becoming susceptible to vulnerabilities as intelligent automation is embedded into numerous operations. There has been a humongous integration of AI, ML, RPA, and IoT technologies, resulting in expanded threat surfaces. Research Nester found that 60.1% of the intelligent automation deployments witnessed at least one attempt at phishing. Companies are adopting cyber resilience infrastructure by adopting AI-driven threat detection and comprehensive response playbooks. This could reduce the occurrence of cyberattacks and phishing by up to 30.2%.
Challenges
- Regulatory compliance and data protection laws: The increasing development of stringent laws for data protection in various countries is emerging as a challenge to market growth. For instance, the Digital Personal Data Protection Act (2023) in India and the General Data Protection Act in the European Union create compliance issues. For instance, in 2022, the recent data laws made in India resulted in a 6-month delay in the rollout of a prominent U.S. intelligent automation platform.
- Gaps in digital infrastructure in emerging markets: The limited access of people to broadband, unreliable power grids, and outdated systems emerge as a challenge in the adoption of intelligent-automated systems in parts of Africa and the Southeast Asia region. For example, in 2023, 39.7% of the organizations situated in Sub-Saharan Africa lacked digital infrastructure for implementing automation.
Intelligent Automation Market: Key Insights
| Report Attribute | Details |
|---|---|
|
Base Year |
2024 |
|
Forecast Year |
2025-2037 |
|
CAGR |
18.6% |
|
Base Year Market Size (2024) |
USD 9.1 billion |
|
Forecast Year Market Size (2037) |
USD 84.2 billion |
|
Regional Scope |
|
Intelligent Automation Segmentation
End user (Defense & Aerospace, Healthcare, BFSI, Manufacturing)
The defense and aerospace sub-segment is set to register 35.2% of the revenue share in the intelligent automation market, owing to high global defense budgets and a rise in demand for autonomous systems. Countries such as China, the United States, the United Kingdom, South Korea, and Japan are the pioneers in adopting automation technologies in aerospace and defense. According to the data published by the U.S. Department of Defense in the 2022 report, intelligent automation systems have become an intrinsic part of military advancements, with over USD 1.69 billion allocated to the automation and AI research. Additionally, the Stockholm International Peace Research Institute brought robotic platforms and drones to the fore in garnering strategic advantages.
Component (Robotic Process Automation, AI & Machine Learning, Biometrics, Natural Language Processing)
The AI and Machine Learning are expected to garner 28.6% revenue share during the forecasted period, owing to rising efforts to decrease operational costs. According to data published by the U.S. Department of Commerce in 2022, over 80.2% of large enterprises have included AI-based tools to streamline the complex business workflows in healthcare, finance, and manufacturing sectors. The National Institute of Standards and Technology (NIST) stated in 2023 that systems incorporating Artificial Intelligence enhance process efficiency by 40.5%, remarkably bolstering the demand for intelligent automation platforms. Additionally, the inclusion of intelligent automation enables steady decision-making without the intervention of humans. For instance, by 2025, the Department of Defense is estimating cost savings of USD 2 billion by adopting AI-based automation to upgrade maintenance and logistics.
Our in-depth analysis of the Intelligent Automation market includes the following segments:
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Component |
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Application |
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End User |
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Deployment |
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Organization Size |
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Customize this ReportIntelligent Automation Industry - Regional Analysis
North America Market Analysis
North America leads the intelligent automation market with an anticipated 34.2% market share by 2037. The growth of the market is driven by government investments in digital transformation across various sectors such as healthcare, manufacturing, and public administration. The government body, such as the National Telecommunication and Information Administration, launched a program named Broadband Equity, Access, and Deployment under which a budget of USD 42 billion was allocated to speed up automation initiatives. North America is anticipated to lead advancements in cross-sector automation, particularly in logistics, healthcare, and finance, with the support of organizations such as Canada’s Association of Information Technology professionals.
In the U.S., the market is registering significant growth due to high federal investments in technologies such as cloud, 5G, and AI. In 2023, the hospitals in the U.S. included automation in administrative operations and minimized the wait time for patients by 22.2%. Additionally, the adoption of intelligent automation is also favored by the National AI Research Resource Task Force, which renders structures for safe and flexible deployment. Additionally, in Canada, the market is anticipated to register a CAGR of 12.9%, with robust traction in various prominent sectors.
Asia Pacific Market Analysis
The Asia Pacific market is anticipated to lead worldwide, driven by digital transformation, Industry 4.0, and supportive ICT strategies by the government. Research Nester found that China is dominating the market with a 30% share, followed by Japan with 18.4% and India with 16.4%. in 2023, the Ministry of Industry and Information Technology in China reported that 11.2 million companies have included automated tools in their operations. Additionally, Malaysia Digital Economy Corporation (MDEC) witnessed a 2x surge in companies utilizing automation during the period 2013-2023.
Companies Dominating the Intelligent Automation Landscape
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
The competitive landscape of the intelligent automation market is rapidly evolving as established key players, automotive giants, and new entrants are investing in including AI and ML. Key players in the market are focused on developing new technologies and products that cater to the stringent regulatory norms and consumer demand. These key players are adopting several strategies such as mergers and acquisitions, joint ventures, partnerships, and novel product launches to enhance their product base and strengthen their market position.
Top 15 Global Manufacturers in the Intelligent Automation Market
|
Company Name |
Country of Origin |
Estimated Market Share (2037) |
|
UiPath Inc. |
USA |
11.1% |
|
Automation Anywhere, Inc. |
USA |
9.3% |
|
Blue Prism Limited (SS&C) |
UK |
6.2% |
|
ABB Ltd. |
Switzerland |
5.6% |
|
Siemens AG |
Germany |
5.2% |
|
IBM Corporation |
USA |
xx |
|
Microsoft Corporation |
USA |
xx |
|
Hitachi, Ltd. |
Japan |
xx |
|
Samsung SDS |
South Korea |
xx |
|
Tata Consultancy Services (TCS) |
India |
xx |
|
Infosys Limited |
India |
xx |
|
Wipro Limited |
India |
xx |
|
Aboitiz Data Innovation (ADI) |
Malaysia |
xx |
|
Appen Limited |
Australia |
xx |
|
Capgemini SE |
France |
xx |
Below are the areas covered for each company in the intelligent automation market:
Recent Developments
- In February 2024, the UiPath Autopilot test suite was launched. It is AI-driven testing automation for software development and further reduces manual QA efforts. After the launch, the stock of UiPath rose 18.2% post-launch due to high demand.
- In March 2024, IBM launched AI-powered workflow automation, Watsonx Orchestrate. The software is an AI-powered workflow automation tool for the automation of business processes and IT services. The company reported a 22.2% YoY surge in AI and automation software revenue in Q1 2024.
Author Credits: Abhishek Verma
- Report ID: 7728
- Published Date: Jun 09, 2025
- Report Format: PDF, PPT
