Market Size of Enterprise AI Industry
Study Period | 2019 - 2029 |
Market Size (2024) | USD 38.19 Billion |
Market Size (2029) | USD 311.64 Billion |
CAGR (2024 - 2029) | 52.17 % |
Fastest Growing Market | Asia Pacific |
Largest Market | North America |
Major Players*Disclaimer: Major Players sorted in no particular order |
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Enterprise AI Software Market Analysis
The Enterprise AI Market size is estimated at USD 38.19 billion in 2024, and is expected to reach USD 311.64 billion by 2029, growing at a CAGR of 52.17% during the forecast period (2024-2029).
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 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 |
Enterprise AI Market Size Summary
The Enterprise AI market is experiencing significant growth as businesses increasingly recognize the benefits of integrating artificial intelligence into their operations. This integration is primarily driven by the need to enhance efficiency, reduce costs, and improve profitability through automation and predictive analytics. The digital transformation of enterprises, fueled by the fourth industrial revolution, is a key trend shaping the market. Technologies such as the Internet of Things, intelligent robots, and advanced analytics are becoming integral to various industries, promoting the adoption of AI-driven solutions. The rise of industrial automation, particularly through robotic process automation, is further propelling market expansion, as companies seek to optimize manufacturing processes and improve operational efficiency.
The market is also witnessing a surge in the adoption of AI cloud solutions, which combine AI capabilities with cloud computing to offer scalable and cost-effective data storage and processing options. This trend is democratizing AI, making it more accessible to organizations of all sizes and facilitating innovation and co-creation. The European region, in particular, is seeing increased demand for enterprise AI solutions, supported by government funding and investments in automation technologies. Major players in the market, including IBM, SAP SE, and Microsoft Corporation, are actively investing in research and development, strategic partnerships, and acquisitions to maintain a competitive edge. These efforts are aimed at enhancing their product offerings and expanding their market share in the rapidly evolving enterprise AI landscape.
Enterprise AI Market Size - Table of Contents
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1. MARKET DYNAMICS
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1.1 Market Overview
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1.2 Introduction to Market Drivers and Restraints
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1.3 Market Drivers
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1.3.1 Increasing Demand for Automation and AI-based Solutions
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1.3.2 Increasing Need to Analyze Exponentially Growing Data Sets
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1.4 Market Restraints
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1.4.1 Sluggish Adoption Rates
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1.5 Industry Attractiveness - Porter's Five Forces Analysis
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1.5.1 Bargaining Power of Buyers
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1.5.2 Bargaining Power of Suppliers
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1.5.3 Threat of New Entrants
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1.5.4 Threat of Substitute Products
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1.5.5 Intensity of Competitive Rivalry
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1.6 Technology Snapshot
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1.6.1 Major Component Analysis
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1.6.2 Impact of AI on the Semicondu
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1.7 Assessment of the impact of COVID-19 on the market
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2. MARKET SEGMENTATION
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2.1 By Type
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2.1.1 Solution
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2.1.2 Service
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2.2 By Deployment
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2.2.1 On-premise
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2.2.2 Cloud
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2.3 By End-user Industry
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2.3.1 Manufacturing
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2.3.2 Automotive
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2.3.3 BFSI
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2.3.4 IT and Telecommunication
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2.3.5 Media and Advertising
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2.3.6 Other End-user Industries
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2.4 By Geography***
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2.4.1 North America
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2.4.2 Europe
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2.4.3 Asia
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2.4.4 Australia and New Zealand
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2.4.5 Latin America
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2.4.6 Middle East and Africa
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Enterprise AI Market Size FAQs
How big is the Enterprise AI Market?
The Enterprise AI Market size is expected to reach USD 38.19 billion in 2024 and grow at a CAGR of 52.17% to reach USD 311.64 billion by 2029.
What is the current Enterprise AI Market size?
In 2024, the Enterprise AI Market size is expected to reach USD 38.19 billion.