Causal AI Market By Product Type, By Manufacturers, By End-User And Market Trend Analysis Forecast 2033

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.

Aug 19, 2024 - 00:16

Causal AI Market By Product Type, By Manufacturers, By End-User And Market Trend Analysis Forecast 2033

Overview and Scope
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.

Sizing and Forecast
The causal ai market size has grown exponentially in recent years. It will grow from $9.01 billion in 2023 to $13.58 billion in 2024 at a compound annual growth rate (CAGR) of 50.7%. 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 $68.36 billion in 2028 at a compound annual growth rate (CAGR) of 49.8%. 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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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

North America was the largest region in the casual AI market in 2023. 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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Major Driver Impacting Market Growth
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, according to the US Bureau of Labor Statistics, jobs for software developers focused on conversational AI are expected to grow 21% between 2020-2030. Therefore, the rise in demand for AI technologies is driving the growth of the casual AI market.

Key Industry Players
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, Incrmntal, Parabole.ai

The causal ai market report table of contents includes:

1. Executive Summary

2. Causal AI Market Characteristics

3. Causal AI Market Trends And Strategies

4. Causal AI Market - Macro Economic Scenario

5. Global Causal AI Market Size and Growth
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32. Global Causal AI Market Competitive Benchmarking

33. Global Causal AI Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Causal AI Market

35. Causal AI Market Future Outlook and Potential Analysis

36. Appendix

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