Table of Contents
Historical Data, Premium Insights, Market Dynamic, Analysis and Projection, By Product, Analysis and Projection, By Application, Analysis and Projection, By End-Use, Analysis and Projection, By Regional Analysis, Competitive Landscape, Company Profiles, Market Revenue, Sale & Price Analysis
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According to a research report published by Spherical Insights & Consulting, The Global Enterprise Generative AI Market Size is Expected to Grow from USD 19.8 Billion in 2023 to USD 486.25 Billion by 2033, at a CAGR of 37.73% during the forecast period 2023-2033.
Browse 210 market data Tables and 45 Figures spread through 190 Pages and in-depth TOC on the Global Enterprise Generative AI Market Size, Share, and COVID-19 Impact Analysis, By Model Type (Text, Image, Audio, Code), By Application (Marketing and Sales, Customer Service, Product Development, Supply Chain Management, Others), and By Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 - 2033
The enterprise generative AI market is the industry that specializes in AI-based solutions generating content, insights, and automation for enterprises. This encompasses text, image, code, and data synthesis use cases across sectors such as marketing, customer service, software development, and supply chain management. Enterprises use generative AI to increase productivity, decision-making, and operational effectiveness while minimizing costs. Moreover, the enterprise generative AI market is boosted by surging needs for automation, tailored customer experience, and greater productivity. Firms look to AI-based content creation, software creation, and analytics. Technology development in deep learning, NLP, and cloud computing spur growth. Optimization of costs, competition differentiation, and decision-making powered by AI enhance market development further. Compliance enablement and increased AI investment further drive growing enterprise AI implementations. Furthermore, major opportunities within the enterprise generative AI market are workflow automation through AI, industry-specific solutions for AI, and fusion with cloud computing and edge computing. Trends include multimodal models of AI, adopting ethical AI, AI-based security, and increased demand for content generated by AI in marketing and customer interaction. However, Major constraints in the enterprise-generative AI market are high deployment costs, data privacy, ethical threats, regulatory issues, possible bias in AI models, and the requirement of trained professionals to operate and optimize AI systems.
The text segment accounted for the greatest share of the global enterprise generative AI market in 2023 and is anticipated to grow at a significant CAGR during the forecast period.
On the basis of the model type, the global enterprise generative AI market is divided into text, image, audio, and code. Among these, the text segment accounted for the greatest share of the global enterprise generative AI market in 2023 and is anticipated to grow at a significant CAGR during the forecast period. This is driven by its extensive application in content generation, chatbots, document automation, and code generation. Companies value AI-powered text solutions for marketing, customer service, and productivity, making text-based generative AI the most prevalent model type in companies.
The marketing and sales segment accounted for the largest share of the global enterprise generative AI market in 2023 and is anticipated to grow at a substantial CAGR during the projected period.
On the basis of the application, the global enterprise generative AI market is divided into marketing and sales, customer service, product development, supply chain management, and others. Among these, the marketing and sales segment accounted for the largest share of the global enterprise generative AI market in 2023 and is anticipated to grow at a substantial CAGR during the projected period. This is because of the extensive use of AI for content generation, personalized marketing, chatbots, and customer interactions. Companies utilize generative AI to maximize campaign effectiveness, optimize lead generation, and fuel revenue growth.
North America is projected to hold the largest share of the global enterprise generative AI market over the forecast period.
North America is projected to hold the largest share of the global enterprise generative AI market over the forecast period. This is boosted by rapid AI adoption in industries, extensive investments by technology giants, and sophisticated AI infrastructure. The United States is the leader in AI research, cloud computing, and enterprise AI deployment. Supportive government policies, a robust startup ecosystem, and high demand for AI-powered automation add to market expansion in the region.
Asia Pacific is expected to grow at the fastest CAGR growth of the global enterprise generative AI market during the forecast period. Regional growth due to digital growth at a fast pace, high AI spending, and aggressive government programs in China, India, and Japan are driving growth. Increased IT infrastructure, a flourishing startup environment, and AI adoption in marketing, customer care, and automation are also contributing factors that further speed up the market. The emerging need for AI-powered solutions across industries such as e-commerce and finance is also driving the market.
Company Profiling
Major vendors in the global enterprise generative AI market are AWS Inc., Google LLC, H20.ai, IBM Corporation, Intel Corporation, Jasper.ai, Microsoft Corporation, Nvidia Corporation, OpenAI, Oracle Corporation, Synthesis AI, and Others.
Key Target Audience
Recent Development
Market Segment
This study forecasts revenue at global, regional, and country levels from 2023 to 2033. Spherical Insights has segmented the global enterprise generative AI market based on the below-mentioned segments:
Global Enterprise Generative AI Market, By Model Type
Global Enterprise Generative AI Market, By Application
Global Enterprise Generative AI Market, By Regional
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