RPA market seen reaching $19.5 billion by 2027
The global robotic process automation market is projected to grow from $1.64 billion in 2019 to $19.53 billion by 2027, driven by enterprise spending on automation, AI and digital transformation. The forecast points to fast adoption across finance, customer service, supply chain and other business functions as companies push to cut costs and improve efficiency. Why it matters: - The projected jump in the robotic process automation market signals continued enterprise spending on tools that cut manual work and speed up operations. - RPA is moving from back-office automation into broader business workflows, which could reshape how companies manage customer service, finance, HR and IT. - The market’s growth also reflects a wider shift toward intelligent automation, where software bots work alongside AI and analytics. What happened: - Allied Market Research estimated the global robotic process automation market at $1.64 billion in 2019 and projects it will reach $19.53 billion by 2027. - The forecast implies a 36.4% compound annual growth rate through 2027. - The report was published June 15, 2026, in Wilmington, Delaware. - A downloadable sample brochure is available. - A full report purchase option is also offered. The details: - RPA uses software bots to automate repetitive, rule-based tasks across applications, systems and databases. - Common uses include data entry, invoice processing, customer onboarding, report generation and transaction verification. - Enterprises are deploying RPA across finance, customer service, supply chain management, human resources, procurement and IT operations. - The market is being lifted by pressure to improve efficiency, reduce operating costs and increase productivity. - Cloud-based automation is helping adoption by lowering infrastructure costs and improving scalability. - AI is expanding RPA’s capabilities by helping platforms process unstructured data, identify patterns and support more intelligent decisions. - The report says leading use cases now include hyperautomation, intelligent document processing, AI-powered bots and process mining. - Industries highlighted in the report include banking, healthcare, manufacturing, telecommunications, retail and logistics. - The report says North America currently leads the global market, while Asia-Pacific is expected to post the fastest growth. - Southeast Asia is also highlighted as a growth area, with activity in Singapore, Malaysia, Thailand, Indonesia and Vietnam. - The report also identifies enterprise RPA, the U.S. market, smartphone manufacturing and MRO services as important subsegments. Between the lines: - The report frames RPA less as a point solution and more as an entry point to broader enterprise automation strategies. - That matters because vendors that combine RPA with AI, analytics and workflow orchestration may be better positioned than standalone automation tools. - The report also notes adoption barriers, including upfront implementation costs, integration complexity, cybersecurity concerns, data privacy issues, workforce resistance and automation skill shortages. - Competition is likely to stay intense as larger vendors and specialized providers try to win industry-specific deployments. What’s next: - The report expects future growth to come from wider use of hyperautomation, intelligent document processing, conversational AI and process mining. - More enterprises are expected to shift from isolated automation projects to company-wide automation programs. - The strongest demand is expected in healthcare, manufacturing, financial services, telecommunications, retail and public sector organizations. - The report also points to continued M&A activity and more partnerships between automation vendors and cloud providers. The bottom line: - RPA is evolving from a cost-saving tool into a core enterprise automation layer, and the market forecast suggests that shift still has room to run.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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