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Autonomous enterprise market seen reaching $148.81 billion by 2030

an hour ago
By AI, Created 00:00 UTC, Oct 19, 2026, AGP -

The Business Research Company says the autonomous enterprise market is set to nearly double from 2026 to 2030 as companies push deeper into automation, AI agents and workflow orchestration. North America led the market in 2025, while Asia-Pacific is expected to grow fastest.

Why it matters: - The autonomous enterprise market is moving from concept to mainstream business infrastructure as companies look to automate decisions, workflows and operations with less human input. - The shift matters because vendors are positioning autonomous systems as a way to cut costs, improve accuracy, and increase speed and agility across enterprise operations.

What happened: - The Business Research Company projected the autonomous enterprise market will grow from $63.17 billion in 2025 to $75.2 billion in 2026. - The firm said the market is expected to reach $148.81 billion by 2030, implying an 18.6% compound annual growth rate over the forecast period. - The report was released Oct. 19, 2026, from London. - The company offered a free sample of the market report and the full autonomous enterprise market report.

The details: - The historical growth rate for the market is listed at 19.0% from 2025 to 2026. - The report ties near-term growth to broader adoption of automation solutions, demand to streamline business processes, lower operating costs, digital transformation, and wider use of workflow management systems. - Looking ahead, the company identified autonomous AI agents, real-time decision-making, scalable operations, intelligent business process platforms and autonomous workflow orchestration as major growth drivers. - The report also points to broader acceptance of AI-driven enterprise process execution, self-learning systems, real-time intelligence, adaptive workflows, cross-functional process platforms and human-machine collaboration. - In its definition, an autonomous enterprise uses AI, machine learning, automation and autonomous agents to perform and optimize business activities with minimal human oversight. - The company said these systems integrate data, applications and workflows to enable faster decisions and operational efficiency. - The report says autonomous enterprises can increase productivity, reduce costs, improve accuracy and give companies more agility. - The company said its 2026 reports include market attractiveness scoring, total addressable market analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technologies and future-trend analysis, plus updated graphics and tables.

Between the lines: - The forecast suggests enterprise automation is shifting from back-office efficiency tools toward broader operating models built around AI-driven orchestration. - The emphasis on real-time intelligence and self-learning systems shows the market is moving beyond simple task automation and toward systems that adapt as conditions change. - A separate data point cited in the report points to infrastructure readiness: The Cloud Native Computing Foundation said production Kubernetes use rose from 58% in 2022 to 66% in 2023.

What's next: - The Business Research Company expects the fastest growth to come from Asia-Pacific, while North America remained the largest market in 2025. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, and the Middle East and Africa. - Companies will likely keep investing in autonomous workflow systems, AI agents and digital infrastructure as the market expands through 2030.

The bottom line: - The autonomous enterprise market is projected to more than double by 2030, driven by AI, automation and the push for faster, more self-managing business operations.

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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