기업 인공지능(AI) 시장 보고서 : 구성요소별, 전개 방식별, 기술별, 조직 규모별, 업계별, 지역별(2025-2033년)

The global enterprise artificial intelligence market size reached USD 30.5 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 426.7 Billion by 2033, exhibiting a growth rate (CAGR) of 32.34% during 2025-2033. 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 (AI) is a technology that allows businesses to leverage advanced machine and cognitive capabilities to discover and deliver organizational knowledge, data, and information. The software mirrors the human brain to solve problems through logic, make decisions, respond to evolving scenarios, and communicate with decision-makers in an organization. Enterprise AI saves valuable time, enhances workflow, improves user experience, enables faster innovation cycles, eliminates room for human error, reduces overall costs, and promotes efficiency. As a result, it finds extensive applications across the automotive, media and advertising, healthcare, information technology (IT), telecommunications, and banking, financial services, and insurance (BFSI) industries.

Enterprise Artificial Intelligence Market Trends:

The increasing digitization of end-use industries is one of the key factors driving the market growth. Additionally, the significant expansion in the manufacturing sector due to emerging trends such as industrial robots, self-driving vehicles, digital manufacturing, Industrial Internet of Things (IIOT), edge computing, and augmented and virtual reality (AR/VR), is favoring the market growth. Such solutions assist in making manufacturing processes more agile, flexible, and personalized. Apart from this, the introduction of reliable cloud computing infrastructures and improvements in dynamic AI solutions for preventive maintenance, customer behavior analysis, and detection of fraud and risks are providing a considerable boost to the market growth. Furthermore, the widespread product adoption among several organizations for analyzing and interpreting large amounts of data is positively influencing the market growth. Besides this, the increasing demand for AI in the healthcare industry, owing to its ability to analyze vast amounts of genomic data and ensure more accurate treatment and prevention of medical mishaps, is acting as another growth-inducing factor. Apart from this, ongoing developments in robots and smart virtual assistants, rising disposable incomes, and implementation of various government initiatives promoting industrial automation, are anticipated to drive the market toward growth.

Key Market Segmentation:

Breakup by Component:

• Solution
• Services

Breakup by Deployment Mode:

• Cloud
• On-premises

Breakup by Technology:

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

Breakup by Organization Size:

• Large Enterprises
• Small and Medium-sized Enterprises

Breakup by Industry Vertical:

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

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

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Amazon Web Services Inc. (Amazon.com Inc.), C3.ai Inc., DataRobot Inc., Google LLC, Hewlett Packard Enterprise Company, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP SE, Sentient.io Pte Ltd, Verint Systems Inc. and Wipro Limited.

Key Questions Answered in This Report

• 1.What was the size of the global enterprise artificial intelligence market in 2024?
• 2.What is the expected growth rate of the global enterprise artificial intelligence market during 2025-2033?
• 3.What are the key factors driving the global enterprise artificial intelligence market?
• 4.What has been the impact of COVID-19 on the global enterprise artificial intelligence market?
• 5.What is the breakup of the global enterprise artificial intelligence market based on the component?
• 6.What is the breakup of the global enterprise artificial intelligence market based on the deployment mode?
• 7.What is the breakup of the global enterprise artificial intelligence market based on the technology?
• 8.What is the breakup of the global enterprise artificial intelligence market based on the organization size?
• 9.What is the breakup of the global enterprise artificial intelligence market based on the industry vertical?
• 10.What are the key regions in the global enterprise artificial intelligence market?
• 11.Who are the key players/companies in the global enterprise artificial intelligence market?

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. (Amazon.com 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 Company
    • 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 International Business Machines 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 Microsoft 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 NVIDIA Corporation
    • 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 Oracle Corporation
    • 16.3.9.1 Company Overview
    • 16.3.9.2 Product Portfolio
    • 16.3.9.3 Financials
    • 16.3.9.4 SWOT Analysis
  • 16.3.10 SAP SE
    • 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 Sentient.io Pte Ltd
    • 16.3.11.1 Company Overview
    • 16.3.11.2 Product Portfolio
  • 16.3.12 Verint Systems Inc.
    • 16.3.12.1 Company Overview
    • 16.3.12.2 Product Portfolio
    • 16.3.12.3 Financials
    • 16.3.12.4 SWOT Analysis
  • 16.3.13 Wipro Limited
    • 16.3.13.1 Company Overview
    • 16.3.13.2 Product Portfolio
    • 16.3.13.3 Financials
    • 16.3.13.4 SWOT Analysis