Decision intelligence market seen tripling to $39.3 billion by 2031
A new Allied Market Research report projects the decision intelligence market will grow from $9.8 billion in 2021 to $39.3 billion by 2031, driven by wider use of AI, machine learning and big data tools. North America led the market in 2021, while cloud deployment and Asia-Pacific are expected to post the fastest growth.
Why it matters: - Decision intelligence is moving from a niche analytics tool to a core business and government decision-making layer. - The market’s projected rise to $39.3 billion by 2031 signals growing demand for systems that combine data, AI and machine learning to improve decisions, reduce bias and automate routine choices. - Privacy and security concerns could slow adoption, but rapid big data advances may offset some of that drag.
What happened: - Allied Market Research said the global decision intelligence market was valued at $9.8 billion in 2021 and is projected to reach $39.3 billion by 2031. - The report pegs growth at a 15.2% compound annual rate from 2022 to 2031. - The report was published June 11, 2026. - The study includes market estimates, segment trends and regional outlooks for the decision intelligence industry. - The company offered a research report sample and a purchase page.
The details: - Decision intelligence uses data and AI to help organizations decide how to respond to business requirements and problems. - The approach also uses data collection and machine learning modeling to forecast outcomes and support business decision-making. - Businesses use decision intelligence to process and forecast data, gain operational insight and improve results across the organization. - The report says companies are using the technology to improve reliability in day-to-day operations and reduce bias while keeping human judgment in the loop. - Big data technology advances and the rise of machine learning and artificial intelligence are key growth drivers. - Data security and privacy concerns remain a restraint because of information abundance, reliance on decision support systems and wider adoption of decision intelligence. - The report says rapid big data progress should create more actionable business information and new opportunities during the forecast period. - By component, the platform segment led revenue in 2021. - By component, the solution segment is projected to reach $13,476.88 million by 2031 at a 17.0% CAGR. - By deployment mode, on-premise held the largest share in 2021 and is expected to keep that lead through 2031. - On-premise deployment remains attractive because it offers practical options and substantial customization. - By deployment mode, the cloud segment is expected to grow the fastest, at about 16.7% CAGR. - Cloud decision intelligence is gaining use because cloud data warehouses can scale to support many concurrent users. - North America dominated the market in 2021 and is expected to retain the lead through the forecast period. - Asia-Pacific is expected to record the highest growth rate in the coming years. - Europe is also expected to see strong growth during the forecast period. - Key players profiled in the report include Google LLC, Oracle Corporation, Microsoft Corporation, Board International, Metaphacts GmbH, H2O.ai, International Business Machines Corporation, Intel Corporation, Diwo.ai and Clarifai, Inc. - Market players are using product launches, collaborations, joint ventures and acquisitions to expand their presence.
Between the lines: - The report frames decision intelligence as a practical answer to messy data and slower decision cycles, not just another analytics category. - North America’s lead suggests early enterprise adoption, while Asia-Pacific’s growth outlook points to a broader buildout of automation and AI projects. - Government use cases add another growth path, especially where agencies want cleaner data and faster fraud detection. - In August 2022, Quantexa and the U.K. government partnered on a big data and analytics framework for government departments and local authorities. - The framework is meant to help public agencies choose specialist suppliers and improve public sector services. - The U.K. government is also using decision intelligence to track fraud and recover taxpayer money. - The COVID-19 pandemic accelerated adoption as many organizations shifted to intelligence software to monitor workflows and make remote decisions.
What’s next: - The on-premise segment is expected to stay the largest through 2031, but cloud deployment should capture more growth. - Asia-Pacific and Europe are positioned for faster expansion as enterprises increase AI and automation investments. - Government adoption and fraud-prevention use cases may provide additional demand beyond private-sector analytics. - The market’s next phase will likely hinge on whether vendors can balance automation gains with security and privacy concerns.
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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