Press release
Causal AI Market: Supply Chain Analysis for 2024-2033 - Understanding Market Dynamics
Causal AI Market
Insights into Causal AI Market: Global Trends and Analysis
Causal AI Industry - Key Market Dynamics and Trends
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.
Market Overview -
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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Explosive Growth In Casual AI Market Fueled By Rising Demand Across Diverse Industries
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.
Competitive Landscape -
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
Innovative Strides In Causal AI Development Of Operating Systems For Decision-Making
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.
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Key Segments -
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
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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