AI in ERP market seen reaching $10.95 billion by 2030

5 hours ago
By AI, Created 06:52 UTC, Jun 30, 2026, AGP -

The Business Research Company says the AI in enterprise resource planning market will grow from $4.68 billion in 2025 to $10.95 billion by 2030 as businesses push harder into digital transformation and automation. North America led the market in 2025, while Asia-Pacific is expected to post the fastest growth.

Why it matters: - AI is becoming a core layer inside ERP systems, changing how companies automate workflows, analyze data and make decisions. - The shift could affect operational efficiency, forecasting, compliance and risk management across industries. - The market’s rapid growth signals continued demand for AI-powered business software.

What happened: - The Business Research Company released a market outlook on AI in enterprise resource planning. - The report estimates the market will rise from $4.68 billion in 2025 to $5.54 billion in 2026. - The report projects the market will reach $10.95 billion by 2030. - The forecast implies an 18.4% CAGR from 2025 to 2026 and an 18.6% CAGR through 2030. - The release was dated June 29, 2026. - A free sample report and the full report were promoted in the release.

The details: - AI in ERP uses machine learning, predictive analytics and related tools inside ERP platforms. - The technology is designed to automate complex business processes. - The technology also aims to improve operational efficiency and deliver real-time insights. - The report says growth is being driven by digital transformation, cloud ERP adoption, stronger cost-cutting efforts, rising enterprise data volumes and broader automation. - Looking ahead, the report points to demand for AI-powered real-time analytics, intelligent process automation, scalable ERP environments, predictive maintenance and operational forecasting. - The report also highlights compliance and risk management as areas where AI will add value. - Key trends cited for the next few years include predictive analytics, automated workflow management, real-time business intelligence integration, AI-driven decision support tools and personalized ERP experiences. - North America was the largest market in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period. - The report also covers South East Asia, Western Europe, Eastern Europe, South America and the Middle East and Africa. - The 2026 report update includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, and updated graphics and tables.

Between the lines: - The report frames AI in ERP less as a niche add-on and more as a platform shift for enterprise software. - The strongest demand appears tied to companies trying to do more with existing systems, not just add new features. - Regional growth expectations suggest the market is moving from early adoption in North America to broader expansion in faster-digitizing markets. - Backlinko LLC said in January 2025 that global digital transformation investment reached $2.5 trillion in 2024 and is projected to hit $3.9 trillion by 2027, underscoring the scale of the modernization spend behind the trend.

What's next: - The market is expected to keep expanding through 2030 as companies increase spending on AI-enabled ERP capabilities. - Vendors are likely to focus on analytics, automation, forecasting and user experience improvements. - The fastest gains appear poised to come from markets and sectors still accelerating digital modernization.

The bottom line: - AI is moving deeper into ERP software, and the market outlook points to sustained double-digit growth as companies chase automation, insight and efficiency.

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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