2028 Global Causal Artificial Intelligence (AI) Market Share Analysis: Leading Key Players and Forecast


 

A comprehensive industry overview and market perspective are included in the latest study from MarkNtel Advisors titled Global Causal Artificial Intelligence (AI) Market. The research provides a detailed overview of the current market state, including market trends and the most recent advancements made globally. In-depth analysis of market size, share, industry trends, forecast, and competitive environment is covered in the report that presents clear picture of the market with relevant statistical data.

The report combines in-depth quantitative analysis with qualitative analysis; it ranges from macro-overviews of the overall market size, industry chain, and market dynamics to micro details of segment markets. This, as a result, provides a thorough overview of the industry under study as well as a profound understanding of all of its important features.

Global Causal Artificial Intelligence (AI) Market Definition:

Causal Artificial Intelligence (AI) is a branch of AI that focuses on understanding & modeling causal relationships between variables or events. Unlike traditional AI methods, which are focused mainly on correlational relationships, causal AI involves techniques & methodologies that enable the identification, estimation, and analysis of causal relationships within complex systems.

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Global Causal Artificial Intelligence (AI) Market Insights:

The Global Causal Artificial Intelligence (AI) Market is still emerging and is anticipated to grow at a CAGR of around 38.46% during the forecast period, i.e., 2023-28.

Global Causal Artificial Intelligence (AI) Market Key Driver:

Rapidly Growing Demand for Explainable AI - AI is becoming increasingly prevalent & crucial in several industries, owing to which there's a mounting demand for AI solutions that offer transparent & interpretable results. Causal AI has an immense potential to provide explanations for relationships & causal factors behind AI predictions & decisions, i.e., crucial in industries like healthcare, BFSI, and legal domains where trust, accountability, & regulatory compliance are critical. Hence, its ability to help understand the cause-and-effect relationships between variables is the most prominent driver for the Global Causal Artificial Intelligence (AI) Market.

Global Causal Artificial Intelligence (AI) Market Leading Key Players:

IBM Corporation, Microsoft Corporation, Amazon Web Services, Causality Link, Aitia, DataRobot, Inc., causaLens, Google Corporation, H2O.ai, Dynatrace, Cognizant, Geminos, Cognino.ai, Omnics Data Automation, Logility and Others

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Global Causal Artificial Intelligence (AI) Market Segmentation:

Based on Offering

- Deployment (Platform) - Market Size & Forecast 2018-2028, (USD Million)

-- Cloud - Market Size & Forecast 2018-2028, (USD Million)

-- On-Premise - Market Size & Forecast 2018-2028, (USD Million)

- Services - Market Size & Forecast 2018-2028, (USD Million)

-- Consulting Services

-- Deployment & Integration

-- Training, Support, and Maintenance

Based on End-User

- BFSI- Market Size & Forecast 2018-2028, (USD Million)

- Healthcare and Life Sciences- Market Size & Forecast 2018-2028, (USD Million)

- Retail and E-commerce- Market Size & Forecast 2018-2028, (USD Million)

- Transportation and Logistics- Market Size & Forecast 2018-2028, (USD Million)

- Manufacturing- Market Size & Forecast 2018-2028, (USD Million)

- Others-- Market Size & Forecast 2018-2028, (USD Million)

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Global Causal Artificial Intelligence (AI) Market Geographical Analysis

By Region

- North America

- South America

- Europe

- The Middle East & Africa

- Asia-Pacific

Recent Development of Global Causal Artificial Intelligence (AI) Market:

On 23 May 2023, DataRobot Inc., the leader in Value-Driven AI, announced a partnership with Microsoft to accelerate AI adoption in the enterprise, which will include integrations with Microsoft Azure OpenAI Service, Azure Machine Learning, and Azure Kubernetes Service (AKS), to enable data scientists to use LLMs (Large Language Models) to assist with writing code.

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About Us:

MarkNtel Advisors is a leading research, consulting, & data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, & individuals, among others.

Our specialization in niche industries & emerging geographies allows our clients to formulate their strategies in a much more informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others, for 15 diverse industrial verticals.

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