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Global Enterprise Generative AI Market Analysis 2025-2030: Growth Drivers, Challenges, And Opportunities
The Enterprise Generative AI Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].How Big Is the Enterprise Generative AI Market Size Expected to Be by 2034?
The enterprise generative AI market size has grown exponentially in recent years. It will grow from $3.33 billion in 2024 to $4.67 billion in 2025 at a compound annual growth rate (CAGR) of 40.3%. The growth in the historic period can be attributed to increased deep learning, increased computing power, generative adversarial networks, open-source initiatives, and research and academic contributions.
The enterprise generative AI market is expected to experience exponential growth, reaching $17.93 billion by 2029, with a CAGR of 39.9%. This growth is attributed to the development of explainable AI, the rise of edge computing, synthetic data generation, quantum computing, and growing regulatory and ethical considerations. Trends include expansion into new industries, advancements in multimodal capabilities, ethical AI practices, the rise of AI-as-a-service, and real-time adaptive learning.
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What Are the Emerging Segments Within the Enterprise Generative AI Market?
The enterprise generative AI market covered in this report is segmented -
1) By Components: Software, Services
2) By Model Type: Text, Image or Video, Audio, Code
3) By Application: Marketing And Sales, Customer Service, Product Development, Supply Chain Management, Other Applications
4) By End-User: Information Technology And Telecommunications, Banking, Financial Services, And Insurance (BFSI), Retail And E-Commerce, Healthcare, Manufacturing, Media And Entertainment, Other End-Users
Subsegments:
1) By Software: Generative AI Platforms, AI Model Development Tools, AI-Powered Automation Software, Natural Language Processing (NLP) Software, Generative Design Software
2) By Services: Consulting Services, Integration And Implementation Services, Managed Services, Training And Support Services, Custom AI Solution Development
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What Long-Term Drivers Are Shaping Enterprise Generative AI Market Trends?
The growing number of new startups is expected to boost the growth of the enterprise-generative AI market. Startups are newly established companies that rapidly grow, often driven by entrepreneurs with innovative ideas or solutions. The increase in new startups is attributed to better access to funding, a growing culture of entrepreneurship, shifting market demands, and the trend toward remote work. Startups use enterprise-generative AI to quickly create content and prototypes, which fosters innovation, speeds up product development cycles, and reduces resource expenditures, enhancing competitiveness. For example, in May 2022, the US Small Business Administration reported that there were 31.7 million small businesses and 20,139 large businesses in the United States. Over the past 20 years, small businesses have created 10.5 million new jobs, while large businesses contributed 5.6 million jobs. These figures are expected to keep growing in the coming years. Therefore, the increase in new startups is contributing to the expansion of the enterprise generative AI market.
Who Are the Top Competitors in Key Enterprise Generative AI Market Segments?
Major companies operating in the enterprise generative ai market are Google LLC, accenture* Plc, International Business Machines Corporation, PricewaterhouseCoopers International Limited, Oracle Corporation, Capgemini SE, McKinsey & Company, Klaviyo Inc., Scale AI Inc., C3.ai Inc., Smartly.io Inc., DataRobot Inc., Prophecy Labs Inc., Coveo Solutions Inc., Bubble Group Inc., Grammarly Inc., Jasper.ai Inc., Aisera Inc., Kensho Technologies Inc., OpenAI Technologies Inc., Mix book Inc., Lily AI Inc., Cohere Technologies Inc., Test Fit Inc., Symbl.ai Inc.
What Are the Major Trends Shaping the Enterprise Generative AI Market?
Leading corporations in the enterprise generative AI market are concentrating on the introduction of technologically superior solutions, such as generative AI product suites, to establish a competitive advantage. A generative AI product suite is composed of a variety of software tools and solutions powered by generative artificial intelligence algorithms. Take for example, in January 2023, American technology company C3.AI Inc. rolled out the C3 Generative AI Product Suite. This suite was crafted to incorporate the most recent AI abilities from establishments like OpenAI, Google, and academia, along with sophisticated models such as ChatGPT and GPT-3, into C3 AI's enterprise AI products. Its purpose is to support the revitalization of business functions and various industries including supply chain, aerospace, oil and gas, healthcare, financial services, defense, and intelligence. The suite merges the strength and functionality of the reliable and efficient C3 AI Platform with the newest breakthroughs in large language models (LLMs).
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Which Regions Are Becoming Hubs for Enterprise Generative AI Market Innovation?
North America was the largest region in the enterprise generative AI market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the enterprise generative ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Enterprise Generative AI Market?
2. What is the CAGR expected in the Enterprise Generative AI Market?
3. What Are the Key Innovations Transforming the Enterprise Generative AI Industry?
4. Which Region Is Leading the Enterprise Generative AI Market?
Why This Report Matters:
Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.
Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.
Efficient Research: Quickly identify market growth, leading players, and major segments.
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