Enterprise AI Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Report Covers Enterprise AI Market Statistics and It is Segmented by Type (Solution, Service), Deployment (On-Premise, Cloud), End-User Industry (Manufacturing, Automotive, BFSI, IT and Telecommunications, Media and Advertising), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

Enterprise AI Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Enterprise AI Software Market Size

Enterprise AI Market Summary
Study Period 2019 - 2030
Market Size (2025) USD 58.11 Billion
Market Size (2030) USD 474.16 Billion
CAGR (2025 - 2030) 52.17 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Medium

Major Players

Enterprise AI Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Enterprise AI Market with other markets in Technology, Media and Telecom Industry

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Enterprise AI Software Market Analysis

The Enterprise AI Market size is estimated at USD 58.11 billion in 2025, and is expected to reach USD 474.16 billion by 2030, at a CAGR of 52.17% during the forecast period (2025-2030).

Enterprises recognize the value of incorporating artificial intelligence into their business processes, improving efficiency and reducing costs by automating process flows. Most importantly, it has helped enterprises predict business outcomes, driving profitability.

  • The digitalization of enterprises is the most dominant trend in the market. The fourth industrial revolution (Industry 4.0) is characterized by physical and advanced digital technologies, such as the Internet of Things, artificial intelligence, intelligent robots, ubiquitous mobile supercomputing, information management, and analytics, which significantly impact various industries. 
  • The boom of industrial automation, with the widespread adoption of Industry 4.0, is driving the adoption of robots and automated technologies to enhance the efficiency of manufacturing processes. For instance, according to Bank of America, the industrial robot segment of robotics and AI is expected to be valued at about USD 24 billion by 2025. This trend has augmented robotic process automation (RPA) among enterprises, a significant aspect of AI.
  • Additionally, in June 2022, Critical Manufacturing, a provider of an Industry 4.0-focused Manufacturing Execution System (MES), announced that it was selected by SwissSEM to optimize its production processes. This decision is made to move towards greater digital automation based on minimizing operating costs and enhancing operating efficiency for its highly complex production line. The new Manufacturing Execution System (MES) from Critical Manufacturing will facilitate accurate, real-time information about production processes, establishing a basis for continuous process improvement, enhanced quality, and reduced costs.
  • Various manufacturing industries have experienced tremendous development due to new technologies, including edge computing, augmented and virtual reality, industrial robots, self-driving cars, digital manufacturing, IIOT, and digital manufacturing. These solutions enhance production processes' personalization, adaptability, and agility, which may further drive market growth.
  • In February 2022, United States Steel and Carnegie Foundry, a robotics and AI studio, announced a strategic investment and relationship. The two Pittsburgh-based startups will work together to accelerate and expand industrial automation using cutting-edge robotics and artificial intelligence. Carnegie Foundry will use this funding to market and scale its industrial automation portfolio of robotics and AI technologies in advanced manufacturing, industrial robots, integrated systems, autonomous mobility, speech analytics, and other areas. 
  • According to US Steel, the collaboration keeps the company at the forefront of growing innovation in robotics and independent solutions for the industry. According to the steelmaker, highly advanced technology will be required to meet its client's expectations for a robust and resilient supply chain.
  • Furthermore, Enterprise AI is a significant enabler of digital transformation. Nearly every enterprise software application will be AI-enabled in the years to come. Developing competencies in the capability to build, deploy, and operate enterprise AI applications at scale, therefore, is becoming imperative for business survival. 
  • According to O'Reilly's 2022 report on enterprise AI adoption (based on the answers given by recipients of its newsletters to a questionnaire on enterprise AI adoption), 31% of companies report not using AI (up from 13% recently), 43% are evaluating adoption, and 26% have implemented AI applications. The immediate increase, from 18% to 31%, in manufacturing respondents with AI was in Oceania. A considerable number of organizations lack AI governance. Of the 26% of respondents with AI products in production, only 49% have a governance plan to oversee how projects are created, measured, and observed (versus 51% for those without).
  • In recent years, various partnerships focused on solutions related to Industry 4.0 have further accelerated the studied market's growth. For instance, in January 2022, Telefónica Tech, the digital services arm of Telefónica, signed a deal with Spanish engineering services company Grupo Álava to introduce a predictive analytics solution for the Industry 4.0 market that also leverages private 5G, big-data 'AI' analytics, and cloud and edge computing from the Spanish operator.

Enterprise AI Software Industry Overview

The competitive rivalry in the Enterprise AI Market is high due to many significant players. Players like IBM, SAP SE, Hewlett Packard Enterprise, Google Inc., Microsoft Corporation, Oracle Corporation, and many more are trying to achieve maximum market share by designing new and innovative products for users. Their significant investments in research and Development, mergers & acquisitions, strategic expansion, funding, strategic partnership, etc., have allowed them to gain a competitive advantage.

August 2024: Sarvam AI, a startup based in Bengaluru and established just last year, unveiled a range of B2B products powered by its generative AI models. Targeting sectors such as financial services, legal services, consumer goods, technology, media, and telecom, Sarvam introduced a diverse product lineup on Tuesday. This lineup features Sarvam Agents, Sarvam 2B, Shuka 1.0, A1, and multiple Sarvam models tailored for various Indic languages.

In July 2024, Fujitsu entered into a strategic partnership with Cohere Inc., an enterprise AI company specializing in security and data privacy, with offices in Toronto and San Francisco. This partnership aims to develop and provide a large language model (LLM) that equips enterprises with advanced Japanese language capabilities, thereby enhancing customer and employee experiences.

Enterprise AI Software Market Leaders

  1. IBM Corporation

  2. Oracle Corporation

  3. Wipro Limited

  4. Hewlett Packard Enterprise

  5. Microsoft Corporation

  6. *Disclaimer: Major Players sorted in no particular order
Enterprise AI Market Concentration
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Enterprise AI Software Market News

  • June 2024: HCLTech, a prominent global technology firm, unveiled the HCLTech Enterprise AI Foundry. This initiative aims to streamline and expand enterprise AI endeavors. The comprehensive suite merges data engineering and AI with cognitive infrastructure, propelling a transformation driven by Generative AI (GenAI) throughout business value chains.
  • June 2024: Persistent Systems, a global firm in Digital Engineering and Enterprise Modernization, has introduced GenAI Hub, an innovative platform aimed at accelerating the development and deployment of Generative AI (GenAI) applications within enterprises. This platform seamlessly integrates with an organization's existing infrastructure, applications, and data, enabling the rapid creation of customized, industry-specific GenAI solutions. GenAI Hub also supports the adoption of GenAI across various Large Language Models (LLMs) and cloud platforms, ensuring no provider lock-in.

Enterprise AI Software Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Increasing Demand for Automation and AI-based Solutions
    • 4.3.2 Increasing Need to Analyze Exponentially Growing Data Sets
  • 4.4 Market Restraints
    • 4.4.1 Sluggish Adoption Rates
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Bargaining Power of Buyers
    • 4.5.2 Bargaining Power of Suppliers
    • 4.5.3 Threat of New Entrants
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Technology Snapshot
    • 4.6.1 Major Component Analysis
    • 4.6.2 Impact of AI on the Semicondu
  • 4.7 Assessment of the impact of COVID-19 on the market

5. MARKET SEGMENTATION

  • 5.1 By Type
    • 5.1.1 Solution
    • 5.1.2 Service
  • 5.2 By Deployment
    • 5.2.1 On-premise
    • 5.2.2 Cloud
  • 5.3 By End-user Industry
    • 5.3.1 Manufacturing
    • 5.3.2 Automotive
    • 5.3.3 BFSI
    • 5.3.4 IT and Telecommunication
    • 5.3.5 Media and Advertising
    • 5.3.6 Other End-user Industries
  • 5.4 By Geography***
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia
    • 5.4.4 Australia and New Zealand
    • 5.4.5 Latin America
    • 5.4.6 Middle East and Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles*
    • 6.1.1 IBM Corporation
    • 6.1.2 Oracle Corporation
    • 6.1.3 Wipro Limited
    • 6.1.4 Hewlett Packard Enterprise
    • 6.1.5 Microsoft Corporation
    • 6.1.6 Amazon Web Services
    • 6.1.7 Google Inc.
    • 6.1.8 Intel Corporation
    • 6.1.9 SAP SE
    • 6.1.10 Sentient Technologies
    • 6.1.11 AiCure LLC
    • 6.1.12 NEC Corporation
    • 6.1.13 NVIDIA Corporation

7. INVESTMENT ANALYSIS

8. FUTURE OF THE MARKET

**Subject to Availability
*** In the Final Report Asia, Australia and New Zealand will be Studied Together as 'Asia Pacific'
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Enterprise AI Software Industry Segmentation

Enterprise AI is the combination of artificial intelligence, the ability of a machine to learn, interact, and understand in a very human form with software designed to meet organizational needs. In recent years, AI has moved on to become a key component for enterprise applications and has posed an essential factor for successful business strategies. 

The Enterprise AI Market is segmented by type (solution, service), by deployment (on-premise, cloud), by end-user industry (manufacturing, automotive, BFSI, IT and telecommunications, media and advertising), and by Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

By Type Solution
Service
By Deployment On-premise
Cloud
By End-user Industry Manufacturing
Automotive
BFSI
IT and Telecommunication
Media and Advertising
Other End-user Industries
By Geography*** North America
Europe
Asia
Australia and New Zealand
Latin America
Middle East and Africa
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Enterprise AI Software Market Research FAQs

How big is the Enterprise AI Market?

The Enterprise AI Market size is expected to reach USD 58.11 billion in 2025 and grow at a CAGR of 52.17% to reach USD 474.16 billion by 2030.

What is the current Enterprise AI Market size?

In 2025, the Enterprise AI Market size is expected to reach USD 58.11 billion.

Who are the key players in Enterprise AI Market?

IBM Corporation, Oracle Corporation, Wipro Limited, Hewlett Packard Enterprise and Microsoft Corporation are the major companies operating in the Enterprise AI Market.

Which is the fastest growing region in Enterprise AI Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Enterprise AI Market?

In 2025, the North America accounts for the largest market share in Enterprise AI Market.

What years does this Enterprise AI Market cover, and what was the market size in 2024?

In 2024, the Enterprise AI Market size was estimated at USD 27.79 billion. The report covers the Enterprise AI Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Enterprise AI Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Enterprise AI Industry Report

Statistics for the 2025 Enterprise AI market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Enterprise AI analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.