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Global Causal AI Market Projected to Grow at 49.9% CAGR, Reaching $101.62 Billion by 2029

10-22-2025 07:01 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Causal AI Market

Causal AI Market

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What Is the Expected CAGR for the Causal AI Market Through 2025?
The size of the causal AI market has witnessed significant growth in the past years. The market, which was worth $13.58 billion in 2024, is anticipated to rise to $20.15 billion in 2025, showcasing a Compound Annual Growth Rate (CAGR) of 48.4%. Factors contributing to this expansion during the historic timeframe include the evolution of farming practices, heightened awareness about oil degradation, a growing global populace, breakthroughs in agricultural technology, and increased consciousness about micronutrient deficiencies.

What's the Projected Size of the Global Causal AI Market by 2029?
The market size for causal ai is anticipated to experience rapid growth in the coming years, rising to $101.62 billion in 2029 with a compound annual growth rate (CAGR) of 49.9%. This forecasted growth can be credited to factors such as sustainable farming methods, the impacts of climate change, a rising preference for organic agriculture, government support and regulations, along with technological advancements in micronutrient delivery. The projected period will also witness significant trends including the shift in dietary habits, investment and advancement in micronutrient solutions, aquaculture industry growth, an increased need for biofortified crops, and the global expansion of agriculture markets.

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https://www.thebusinessresearchcompany.com/report/causal-ai-global-market-report

Top Growth Drivers in the Causal AI Industry: What's Accelerating the Market?
The increasing need for AI technologies is poised to fuel the expansion of the casual AI market in the future. AI technologies encompass a wide array of tools and techniques that employ artificial intelligence (AI) to carry out tasks typically necessitating human intellect. The incorporation of AI technologies augments the need for causal AI to provide solutions optimizing productivity, decision-making, and overall corporate performance. As AI competencies progress, various sectors are expected to discover novel ways to deploy these technologies for innovation and gaining a competitive edge. For example, a study by the Department for Digital, Culture, Media & Sport (DCMS), a UK-based government agency, and Capital Economics, a UK-based data services firm, in January 2022 projected a significant upsurge in AI technology uptake to 22.7% by 2025, with an additional 267,000 companies integrating AI into their operations. By 2040, around 34.8% of businesses, equivalent to roughly 1.3 million companies, are expected to adopt AI. Consequently, this increasing demand for AI technologies is boosting the growth of the casual AI market.

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What Trends Will Shape the Causal AI Market Through 2029 and Beyond?
Leading entities in the casual AI market are prioritizing the advancement of innovative products like DecisionOS to reinforce their market standing. DecisionOS functions as a decision-making operating system and is a software stage that converts raw data into dependable decision-making processes. In an example, CausaLens, a UK deep tech firm and inventor of causal AI, released DecisionOS powered by Casual AI in January 2023. It is constructed to deliver operational and interpretable insights to businesses by discerning cause-and-effect associations within data, fostering trust using transparent causal models. The aim is to enable data science squads to construct robust causal AI models. Additionally, the platform presents components for producing causal diagrams and models, facilitating the establishment of expressive interfaces and smooth incorporation with databases and other corporate systems to follow.

What Are the Main Segments in the Causal AI Market?
The causal aimarket covered in this report is segmented -

1) By Component: Solution, Services
2) By Deployment Platforms: Cloud, On-Premises
3) By Vertical: Healthcare And Life Sciences, Banking, Financial Services And Insurance (BFSI), Retail And eCommerce, Transportation And Logistics, Manufacturing, Other Verticals

Subsegments:
1) By Solution: Causal Inference Software, Predictive Modeling Tools, Data Visualization Solutions, Causal Analysis Platforms
2) By Services: Consulting Services, Implementation Services, Maintenance And Support Services, Training And Education Services

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Which Top Companies are Driving Growth in the Causal AI Market?
Major companies operating in the causal AI market report are Apple Inc., Google LLC, Microsoft Corporation, Alibaba Group Holding Limited, Facebook Inc., Huawei Technologies Co. Ltd., Amazon Web Services Inc., Intel Corporation, The International Business Machines Corporation, Adobe Inc., Cognizant, Dynatrace Inc., DataRobot Inc., Logility Inc., CausaLens, Modzy, Nexosis Inc., Infinite Analytics, Incremental, Parabole.ai

Which Regions Will Dominate the Causal AI Market Through 2029?
North America was the largest region in the casual AI market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the causal ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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This Report Supports:
1.Business Leaders & Investors - To identify growth opportunities, assess risks, and guide strategic decisions.
2.Manufacturers & Suppliers - To understand market trends, customer demand, and competitive positioning.
3.Policy Makers & Regulators - To track industry developments and align regulatory frameworks.
4.Consultants & Analysts - To support market entry, expansion strategies, and client advisory work.

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Email: saumyas@tbrc.info

Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

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