기업 AI 시장 보고서 : 구성 요소, 도입 형태, 기술, 조직 규모, 업종, 지역별(2026-2034년)

The global enterprise artificial intelligence market size reached USD 40.4 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 492.4 Billion by 2034, exhibiting a growth rate (CAGR) of 31.06% during 2026-2034. The rising trends of using digital manufacturing, Industrial Internet of Things (IIOT), edge computing, industrial robots, and self-driving vehicles across the manufacturing sector are propelling the market.

ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET ANALYSIS:

• Major Market Drivers: The increasing digitalization across various end-use industries is stimulating the market.
• Key Market Trends: The development of reliable cloud computing infrastructures in dynamic AI solutions for customer behavior analysis, preventive maintenance, and detection of fraud and risks is acting as a significant growth-inducing factor.
• Competitive Landscape: Some of the prominent companies in the global market include Amazon Web Services Inc., C3.ai Inc., DataRobot Inc., Google LLC, Hewlett Packard Enterprise Development LP, Microsoft Corporation, NVIDIA Corporation, SAP SE, Sentient.io, Verint Systems Inc., and Wipro Limited, among many others.
• Geographical Trends: Ongoing improvements in robots and smart virtual assistants are stimulating the market in North America.
• Challenges and Opportunities: The lack of skilled talent to develop and manage AI systems is hampering the market. However, robust upskilling initiatives for the existing workforce are anticipated to fuel the market in the coming years.

ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET TRENDS:

Rising Integration of Advanced Technologies

Extensive applications of AI that enable predictive analytics and smart data analysis are propelling the market. Additionally, this integration allows for more efficient operations. In August 2024, Contextual AI raised US$80 Million in a Series A funding round to scale operations and accelerate the go-to-market for its production-grade large language models (LLMs) for enterprises. Its platform also lets enterprises build RAG 2.0 applications in minutes and customize them with end-to-end machine learning (ML).

Popularity of AI-Powered Automation

The inflating need for streamlining repetitive and time-consuming tasks is acting as a significant growth-inducing factor. AI algorithms can handle tasks, such as invoice processing, data entry, and customer service interactions with greater accuracy, which is expanding the enterprise artificial intelligence market analysis report. In August 2024, TerraZero collaborated with enterprise artificial intelligence specialists Qeleo to accelerate the scalability of TerraZero's core product, intraverse, and other operational initiatives.

Increasing Focus on Personalized Customer Experiences

Enterprises are leveraging AI to deliver highly personalized customer experiences, which is stimulating the market. AI-driven analytics and machine learning algorithms analyze customer data to understand behaviors, preferences, and purchasing patterns. In July 2024, HCL Technologies Ltd. introduced its enterprise AI foundry on Microsoft Azure to help enterprises combine their artificial intelligence assets to drive generative AI adoption.

GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE INDUSTRY SEGMENTATION:

Breakup by Component:

• Solution
• Services

Solution dominates the market

The rising demand for comprehensive tools designed to enhance business operations across various industries is propelling the segment growth. For example, Google Cloud's AI solution offers robust tools for data analysis.

Breakup by Deployment Mode:

• Cloud
• On-premises

Cloud currently holds most of the total enterprise artificial intelligence market share

Continuous technological innovations drive the segment. Microsoft's Azure AI, for instance, offers a comprehensive suite of AI tools and services that integrate with the Azure cloud platform.

Breakup by Technology:

• Natural Language Processing (NLP)
• Machine Learning
• Computer Vision
• Speech Recognition
• Others

Machine learning holds the majority of the global enterprise artificial intelligence market demand

Advanced machine learning capabilities offer enterprises powerful tools for developing custom models, which is augmenting the market. IBM unveiled Watson machine learning, a comprehensive platform that allows businesses to deploy, build, and manage ML models at scale.

Breakup by Organization Size:

• Large Enterprises
• Small and Medium-sized Enterprises

Large enterprises dominate the enterprise artificial intelligence market outlook

Large enterprises derive actionable insights from vast datasets and drive innovation, which is contributing to the market. Google Cloud's Enterprise AI platform delivers cutting-edge capabilities in natural language processing.

Breakup by Industry Vertical:

• BFSI
• Media and Advertising
• IT and Telecom
• Retail
• Healthcare
• Automotive and Transportation
• Others

IT and telecom dominate the enterprise artificial intelligence market outlook report

The increasing need to streamline operations, enhance network reliability, and deliver superior customer service is acting as a significant growth-inducing factor.

Breakup by Region:

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

North America exhibits a clear dominance in the market

The enterprise artificial intelligence market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America holds a dominant share of the market, driven by the rising demand for AI tools that are designed for data-driven predictive analytics, decision-making, and automation. Additionally, extensive R&D activities are also propelling the regional market. In July 2024, tech consulting and digital solutions company LTIMindtree Ltd. developed Canvas.ai, its enterprise-ready artificial intelligence platform, on the Snowflake AI Data Cloud.

COMPETITIVE LANDSCAPE:

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major market companies have also been provided. Some of the key players in the market include:

• Amazon Web Services Inc.
• C3.ai Inc.
• DataRobot Inc.
• Google LLC
• Hewlett Packard Enterprise Development LP
• Microsoft Corporation
• NVIDIA Corporation
• SAP SE
• Sentient.io
• Verint Systems Inc.
• Wipro Limited

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Enterprise Artificial Intelligence Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Solution
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Services
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

• 7.1 Cloud
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 On-premises
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Technology

• 8.1 Natural Language Processing (NLP)
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Machine Learning
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Computer Vision
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Speech Recognition
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast
• 8.5 Others
  • 8.5.1 Market Trends
  • 8.5.2 Market Forecast

9 Market Breakup by Organization Size

• 9.1 Large Enterprises
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Small and Medium-sized Enterprises
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Industry Vertical

• 10.1 BFSI
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Media and Advertising
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast
• 10.3 IT and Telecom
  • 10.3.1 Market Trends
  • 10.3.2 Market Forecast
• 10.4 Retail
  • 10.4.1 Market Trends
  • 10.4.2 Market Forecast
• 10.5 Healthcare
  • 10.5.1 Market Trends
  • 10.5.2 Market Forecast
• 10.6 Automotive and Transportation
  • 10.6.1 Market Trends
  • 10.6.2 Market Forecast
• 10.7 Others
  • 10.7.1 Market Trends
  • 10.7.2 Market Forecast

11 Market Breakup by Region

• 11.1 North America
  • 11.1.1 United States
    • 11.1.1.1 Market Trends
    • 11.1.1.2 Market Forecast
  • 11.1.2 Canada
    • 11.1.2.1 Market Trends
    • 11.1.2.2 Market Forecast
• 11.2 Asia-Pacific
  • 11.2.1 China
    • 11.2.1.1 Market Trends
    • 11.2.1.2 Market Forecast
  • 11.2.2 Japan
    • 11.2.2.1 Market Trends
    • 11.2.2.2 Market Forecast
  • 11.2.3 India
    • 11.2.3.1 Market Trends
    • 11.2.3.2 Market Forecast
  • 11.2.4 South Korea
    • 11.2.4.1 Market Trends
    • 11.2.4.2 Market Forecast
  • 11.2.5 Australia
    • 11.2.5.1 Market Trends
    • 11.2.5.2 Market Forecast
  • 11.2.6 Indonesia
    • 11.2.6.1 Market Trends
    • 11.2.6.2 Market Forecast
  • 11.2.7 Others
    • 11.2.7.1 Market Trends
    • 11.2.7.2 Market Forecast
• 11.3 Europe
  • 11.3.1 Germany
    • 11.3.1.1 Market Trends
    • 11.3.1.2 Market Forecast
  • 11.3.2 France
    • 11.3.2.1 Market Trends
    • 11.3.2.2 Market Forecast
  • 11.3.3 United Kingdom
    • 11.3.3.1 Market Trends
    • 11.3.3.2 Market Forecast
  • 11.3.4 Italy
    • 11.3.4.1 Market Trends
    • 11.3.4.2 Market Forecast
  • 11.3.5 Spain
    • 11.3.5.1 Market Trends
    • 11.3.5.2 Market Forecast
  • 11.3.6 Russia
    • 11.3.6.1 Market Trends
    • 11.3.6.2 Market Forecast
  • 11.3.7 Others
    • 11.3.7.1 Market Trends
    • 11.3.7.2 Market Forecast
• 11.4 Latin America
  • 11.4.1 Brazil
    • 11.4.1.1 Market Trends
    • 11.4.1.2 Market Forecast
  • 11.4.2 Mexico
    • 11.4.2.1 Market Trends
    • 11.4.2.2 Market Forecast
  • 11.4.3 Others
    • 11.4.3.1 Market Trends
    • 11.4.3.2 Market Forecast
• 11.5 Middle East and Africa
  • 11.5.1 Market Trends
  • 11.5.2 Market Breakup by Country
  • 11.5.3 Market Forecast

12 SWOT Analysis

• 12.1 Overview
• 12.2 Strengths
• 12.3 Weaknesses
• 12.4 Opportunities
• 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

• 14.1 Overview
• 14.2 Bargaining Power of Buyers
• 14.3 Bargaining Power of Suppliers
• 14.4 Degree of Competition
• 14.5 Threat of New Entrants
• 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

• 16.1 Market Structure
• 16.2 Key Players
• 16.3 Profiles of Key Players
  • 16.3.1 Amazon Web Services Inc.
    • 16.3.1.1 Company Overview
    • 16.3.1.2 Product Portfolio
    • 16.3.1.3 Financials
    • 16.3.1.4 SWOT Analysis
  • 16.3.2 C3.ai Inc.
    • 16.3.2.1 Company Overview
    • 16.3.2.2 Product Portfolio
    • 16.3.2.3 Financials
  • 16.3.3 DataRobot Inc.
    • 16.3.3.1 Company Overview
    • 16.3.3.2 Product Portfolio
  • 16.3.4 Google LLC
    • 16.3.4.1 Company Overview
    • 16.3.4.2 Product Portfolio
    • 16.3.4.3 SWOT Analysis
  • 16.3.5 Hewlett Packard Enterprise Development LP
    • 16.3.5.1 Company Overview
    • 16.3.5.2 Product Portfolio
    • 16.3.5.3 Financials
    • 16.3.5.4 SWOT Analysis
  • 16.3.6 Microsoft Corporation
    • 16.3.6.1 Company Overview
    • 16.3.6.2 Product Portfolio
    • 16.3.6.3 Financials
    • 16.3.6.4 SWOT Analysis
  • 16.3.7 NVIDIA Corporation
    • 16.3.7.1 Company Overview
    • 16.3.7.2 Product Portfolio
    • 16.3.7.3 Financials
    • 16.3.7.4 SWOT Analysis
  • 16.3.8 SAP SE
    • 16.3.8.1 Company Overview
    • 16.3.8.2 Product Portfolio
    • 16.3.8.3 Financials
    • 16.3.8.4 SWOT Analysis
  • 16.3.9 Sentient.io
    • 16.3.9.1 Company Overview
    • 16.3.9.2 Product Portfolio
  • 16.3.10 Verint Systems Inc.
    • 16.3.10.1 Company Overview
    • 16.3.10.2 Product Portfolio
    • 16.3.10.3 Financials
    • 16.3.10.4 SWOT Analysis
  • 16.3.11 Wipro Limited
    • 16.3.11.1 Company Overview
    • 16.3.11.2 Product Portfolio
    • 16.3.11.3 Financials
    • 16.3.11.4 SWOT Analysis