How much is the causal ai market worth, and how is it expected to expand?
The causal ai market size has grown exponentially in recent years. It will grow from $13.58 billion in 2024 to $20.27 billion in 2025 at a compound annual growth rate (CAGR) of 49.3%. The growth in the historic period can be attributed to agricultural practices evolution, oil degradation awareness, growing population, advancements in agriculture technology, micronutrient deficiency awareness.
The causal ai market size is expected to see exponential growth in the next few years. It will grow to $102.76 billion in 2029 at a compound annual growth rate (CAGR) of 50.0%. The growth in the forecast period can be attributed to sustainable agriculture practices, climate change effects, increasing demand for organic farming, government subsidies and regulations, technological innovations in micronutrient delivery. Major trends in the forecast period include changing dietary preferences, research and development in micronutrient formulations, expansion of the aquaculture industry, rising demand for biofortified crops, globalization of agriculture markets.
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Which industry factors have accelerated the causal ai market’s expansion?
The rise in demand for AI technologies is expected to propel the growth of the casual AI market going forward. AI technologies refer to a broad range of technologies and tools that leverage artificial intelligence (AI) to perform tasks that traditionally require human intelligence. Integrating AI technologies increases the demand for causal AI for offering solutions that enhance productivity, decision-making, and overall business performance. As AI capabilities advance, industries are likely to find new ways to leverage these technologies for innovation and competitive advantage. For instance, in January 2022, according to a study conducted by the Department for Digital, Culture, Media & Sport (DCMS), a UK-based government department, and Capital Economics, a UK-based information services company, there is a projected substantial rise in AI technology adoption to 22.7% in 2025, with an added 267,000 businesses integrating AI into their processes. By 2040, it’s anticipated that around 34.8% of businesses will have embraced AI, totalling approximately 1.3 million companies utilizing this technology. Therefore, the rise in demand for AI technologies is driving the growth of the casual AI market.
What are the primary segments of the causal ai market?
The causal ai market 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 firms are leading 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 market trends are set to define the future of the causal ai market?
Major companies operating in the casual AI market are focusing on developing innovative products such as DecisionOS to strengthen their position in the market. DecisionOS is an operating system for decision-making and is a software platform that transforms raw data into trusted decision-making workflows. For instance, in January 2023, CausaLens, a UK-based deep tech company and pioneer of causal AI, launched DecisionOS powered by Casual AI, which is designed to provide actionable and explainable insights for businesses by discovering cause-and-effect relationships within data and building trust using white-box causal models. It aims to empower data science teams to build powerful causal AI models. The platform also offers components for rendering causal graphs and models, allowing for the creation of expressive interfaces and seamless integration with databases and downstream enterprise systems.
Which geographic trends are shaping the causal ai market, and which region has the highest market share?
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.
What Does The Causal AI Market Report 2025 Offer?
The causal ai market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Causal AI or causal artificial intelligence refers to a subset of artificial intelligence focused on understanding and explaining cause-and-effect relationships. Causal AI aims to explain the underlying causes and effects of events or behaviors. It can be used to supplement human decision-making, quantify the impact of different interventions, and perform scenario planning.
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