Meticulous Research Unveils Comprehensive Forecast for Enterprise AI Market, Anticipating $171.2 Billion by 2031



Meticulous Research®, a leading global market research firm, has released a new report titled, “Enterprise AI Market by Offering (Solutions, Services), Deployment Mode, Organization Size, Technology (ML, NLP), End-use Industry (IT & Telecom, Healthcare, Retail & E-commerce, Media & Advertisement) and Geography – Global Forecast to 2031.”

The latest insights from Meticulous Research® reveal that the global enterprise AI market is set to soar to $171.2 billion by 2031, reflecting a robust CAGR of 32.9% from 2024 to 2031. This growth trajectory is fueled by enterprises’ growing need to enhance customer satisfaction and the increasing adoption of AI solutions within the IT & telecom sectors. However, the market expansion faces challenges from the high costs associated with enterprise AI solutions and significant concerns regarding data privacy and security.

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Market Segmentation and Highlights

By Offering:

Solutions: Dominating the market in 2024, driven by the need for productivity improvements and customer experience enhancements. Noteworthy is Wipro Limited’s collaboration with IBM, launching the Wipro Enterprise AI-Ready Platform to facilitate customized AI environments.

Services: Projected to exhibit a higher CAGR, propelled by the increasing demand for AI consulting, development, and support services.

By Deployment Mode:

On-premise Deployment: Leading the market share in 2024, attributed to its preference among large enterprises for risk management and compliance efficiency.

Cloud-based Deployment: Expected to grow at a higher CAGR, thanks to benefits like cost-effectiveness, scalability, and the rising trend of multi-cloud AI solutions. For instance, NVIDIA’s DGX Cloud provides essential AI infrastructure for advanced model training.

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By Organization Size:

Large Enterprises: Anticipated to hold the largest market share, driven by strategic IT initiatives and the need for managing vast customer data.

Small & Medium-sized Enterprises (SMEs): Forecasted to grow at a higher CAGR due to increasing adoption of AI chatbots and the need for operational efficiency.

By Technology:

Machine Learning (ML): Leading the technology segment with substantial adoption for data analysis, threat detection, and pattern recognition. NVIDIA’s collaboration with Microsoft to enhance generative AI capabilities exemplifies this trend.

Natural Language Processing (NLP): Expected to register the highest CAGR, driven by the need for understanding and generating human language data for personalized content delivery.

By End-use Industry:

IT & Telecom: Holding the largest market share in 2024, driven by AI’s role in personalized customer experiences and operational optimization. Notably, ServiceNow and NVIDIA’s partnership for telco-specific AI solutions is a significant development.

Healthcare, Retail & E-commerce, BFSI, Government, Automotive: Other significant sectors with increasing AI adoption for diverse applications.

Geographical Insights:

North America: Expected to lead the global market with substantial adoption across various sectors, including retail, healthcare, and finance. Key initiatives like Pegasystems’ partnership with Google Cloud to enhance healthcare data analytics highlight regional advancements.

Asia-Pacific: Predicted to experience the highest CAGR, driven by a surge in AI-powered customer support solutions and the launch of virtual assistants.

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Leading Market Players

Key players in the enterprise AI market include NVIDIA Corporation, Google LLC (Alphabet Inc.), Amazon Web Services, IBM, Microsoft Corporation, Verint Systems Inc., SAP SE, Pegasystems Inc., Wipro Limited, Intel Corporation, Oracle Corporation, Hewlett Packard Enterprise, MicroStrategy Incorporated, Amelia US LLC, and

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