The Causal AI Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Causal AI Global Market Report 2024, 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.
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.
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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
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.
The causal ai market report table of contents includes:
1. Executive Summary
2. Market Characteristics
3. Market Trends And Strategies
4. Impact Of COVID-19
5. Market Size And Growth
6. Segmentation
7. Regional And Country Analysis
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27. Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
Major Players:
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