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Augmented Analytics Market: Market Size & Forecast 2026

The global augmented analytics market is a software-and-services segment that uses machine learning, natural-language processing and generative AI to automate data preparation, insight generation and explanation. Valued at roughly USD 25.0 billion in 2025, it is expanding at a compound annual growth rate of about 22.3%, which would lift the market well above USD 70 billion by the end of the decade. Demand is being pulled by enterprise data overload, the shortage of data-science talent, the mainstreaming of generative-AI assistants, and tighter governance requirements.

Market size · 2025
$25 billion
CAGR · 2025–2030
22.3%
Forecast · 2030
$68.4 billion
Basis
Claight Analysis
Market size (USD)
Base year 2025
Official data · Claight AnalysisForecast
Market size and forecast are Claight Analysis, informed by public research.
Forecast
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2025 base: $25bn2030 est: $68.4bn
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Market Overview

Augmented analytics embeds AI capabilities into business intelligence and analytics platforms so that non-technical users can explore data, surface anomalies and receive narrative explanations without writing queries or models. In 2025 the global market is worth about USD 25.0 billion and is on track to reach roughly USD 70.2 billion by 2030 at a 22.3% CAGR, making it one of the faster-growing enterprise software categories. Capital spending is concentrated in large enterprises, but adoption is widening into mid-market firms as cloud-native offerings lower the entry barrier.

  • Market valued at approximately USD 25.0 billion in 2025
  • Forecast CAGR of 22.3% through 2030, putting the market near USD 70.2 billion
  • Core technology stack combines NLP, machine learning, and generative AI for automated insight generation

Growth Drivers

Three forces are sustaining double-digit growth. First, exploding enterprise data volumes have outpaced the supply of trained data scientists, so organizations are turning to automated insight engines to close the skills gap. Second, generative-AI copilots are now being embedded directly into analytics workflows, accelerating time-to-insight. Third, tightening data-governance and regulatory requirements are pushing buyers toward platforms that combine analytics with explainability and lineage.

  • Persistent shortage of data-science and analytics talent driving automation
  • Integration of generative-AI copilots into BI and analytics platforms
  • Regulatory pressure for explainable, governed, and auditable analytics
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Segmentation and Regional Analysis

The market splits into software (the larger share) and services for implementation and managed analytics, and by business function across sales and marketing, finance, IT, and operations. Vertically, banking, retail, healthcare, manufacturing and the public sector are the heaviest adopters because they sit on large, structured datasets. North America leads on revenue thanks to early enterprise adoption, while Asia-Pacific is the fastest-growing region as cloud build-out accelerates in India, China, Japan and Southeast Asia.

  • Software accounts for the majority of revenue, with services growing alongside implementations
  • Banking, retail, healthcare and manufacturing are the leading verticals
  • Asia-Pacific is the fastest-growing region; North America holds the largest share

Trends and Outlook

What are the recent trends and outlook?

Through 2030, augmented analytics is moving from a stand-alone feature into a default layer inside every BI, ERP and CRM platform, which is broadening the addressable user base well beyond professional analysts. Generative-AI assistants that translate questions in plain language into dashboards and narratives are becoming a standard expectation rather than a premium add-on. The combination of strong secular demand, AI feature velocity and expanding geographic reach supports a continued 22%-plus growth trajectory.

  • Generative-AI assistants for plain-language querying are becoming table stakes
  • Augmented capabilities are being embedded directly into ERP, CRM and BI suites
  • Sustained 22%-plus CAGR is expected through 2030 as adoption broadens
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Market size and forecast are Claight Analysis, informed by public research and industry data. Historical years before 2025 and all forecast years are Claight estimates at the stated CAGR. Retrieved 2026.