
An ERP system with AI (Artificial Intelligence) refers to an enterprise resource planning (ERP) software that incorporates AI technologies and techniques to enhance its capabilities and performance. AI-driven ERP systems leverage machine learning, natural language processing, and other AI technologies to automate tasks, provide real-time insights, and enable more accurate and efficient decision-making. These systems can include features like predictive analytics, automated data analysis, and chatbots for improved customer service and streamlined business processes.
The global ERP System with AI market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029.
The industry trend of ERP system with AI is towards increased adoption, integration, and innovation. As AI technologies continue to advance and become more accessible, businesses are increasingly recognizing the benefits of AI-driven ERP solutions. These systems can help improve operational efficiency, reduce costs, and enhance customer experience. Additionally, the growing demand for real-time insights and predictive analytics in business decision-making is driving the adoption of AI-powered ERP systems.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global ERP System with AI market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Oracle
Infor
Epicor Kinetic
IFS
Global Shop Solutions
Cetec ERP
Dassault Systems (Enterprise IQ)
EOXS
Aptean
Microsoft Dynamics
RealSTEEL
Sage
SAP
SYSPRO
Segment by Type
Predictive Analytics
Chatbot Enabled
Automated Decision Making
Other
Segment by Application
Large Enterprise
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The ERP System with AI report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global ERP System with AI Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Predictive Analytics
1.2.3 Chatbot Enabled
1.2.4 Automated Decision Making
1.2.5 Other
1.3 Market by Application
1.3.1 Global ERP System with AI Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Enterprise
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global ERP System with AI Market Perspective (2018-2029)
2.2 ERP System with AI Growth Trends by Region
2.2.1 Global ERP System with AI Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 ERP System with AI Historic Market Size by Region (2018-2023)
2.2.3 ERP System with AI Forecasted Market Size by Region (2024-2029)
2.3 ERP System with AI Market Dynamics
2.3.1 ERP System with AI Industry Trends
2.3.2 ERP System with AI Market Drivers
2.3.3 ERP System with AI Market Challenges
2.3.4 ERP System with AI Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top ERP System with AI Players by Revenue
3.1.1 Global Top ERP System with AI Players by Revenue (2018-2023)
3.1.2 Global ERP System with AI Revenue Market Share by Players (2018-2023)
3.2 Global ERP System with AI Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by ERP System with AI Revenue
3.4 Global ERP System with AI Market Concentration Ratio
3.4.1 Global ERP System with AI Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by ERP System with AI Revenue in 2022
3.5 ERP System with AI Key Players Head office and Area Served
3.6 Key Players ERP System with AI Product Solution and Service
3.7 Date of Enter into ERP System with AI Market
3.8 Mergers & Acquisitions, Expansion Plans
4 ERP System with AI Breakdown Data by Type
4.1 Global ERP System with AI Historic Market Size by Type (2018-2023)
4.2 Global ERP System with AI Forecasted Market Size by Type (2024-2029)
5 ERP System with AI Breakdown Data by Application
5.1 Global ERP System with AI Historic Market Size by Application (2018-2023)
5.2 Global ERP System with AI Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America ERP System with AI Market Size (2018-2029)
6.2 North America ERP System with AI Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America ERP System with AI Market Size by Country (2018-2023)
6.4 North America ERP System with AI Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe ERP System with AI Market Size (2018-2029)
7.2 Europe ERP System with AI Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe ERP System with AI Market Size by Country (2018-2023)
7.4 Europe ERP System with AI Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific ERP System with AI Market Size (2018-2029)
8.2 Asia-Pacific ERP System with AI Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific ERP System with AI Market Size by Region (2018-2023)
8.4 Asia-Pacific ERP System with AI Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America ERP System with AI Market Size (2018-2029)
9.2 Latin America ERP System with AI Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America ERP System with AI Market Size by Country (2018-2023)
9.4 Latin America ERP System with AI Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa ERP System with AI Market Size (2018-2029)
10.2 Middle East & Africa ERP System with AI Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa ERP System with AI Market Size by Country (2018-2023)
10.4 Middle East & Africa ERP System with AI Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Oracle
11.1.1 Oracle Company Detail
11.1.2 Oracle Business Overview
11.1.3 Oracle ERP System with AI Introduction
11.1.4 Oracle Revenue in ERP System with AI Business (2018-2023)
11.1.5 Oracle Recent Development
11.2 Infor
11.2.1 Infor Company Detail
11.2.2 Infor Business Overview
11.2.3 Infor ERP System with AI Introduction
11.2.4 Infor Revenue in ERP System with AI Business (2018-2023)
11.2.5 Infor Recent Development
11.3 Epicor Kinetic
11.3.1 Epicor Kinetic Company Detail
11.3.2 Epicor Kinetic Business Overview
11.3.3 Epicor Kinetic ERP System with AI Introduction
11.3.4 Epicor Kinetic Revenue in ERP System with AI Business (2018-2023)
11.3.5 Epicor Kinetic Recent Development
11.4 IFS
11.4.1 IFS Company Detail
11.4.2 IFS Business Overview
11.4.3 IFS ERP System with AI Introduction
11.4.4 IFS Revenue in ERP System with AI Business (2018-2023)
11.4.5 IFS Recent Development
11.5 Global Shop Solutions
11.5.1 Global Shop Solutions Company Detail
11.5.2 Global Shop Solutions Business Overview
11.5.3 Global Shop Solutions ERP System with AI Introduction
11.5.4 Global Shop Solutions Revenue in ERP System with AI Business (2018-2023)
11.5.5 Global Shop Solutions Recent Development
11.6 Cetec ERP
11.6.1 Cetec ERP Company Detail
11.6.2 Cetec ERP Business Overview
11.6.3 Cetec ERP ERP System with AI Introduction
11.6.4 Cetec ERP Revenue in ERP System with AI Business (2018-2023)
11.6.5 Cetec ERP Recent Development
11.7 Dassault Systems (Enterprise IQ)
11.7.1 Dassault Systems (Enterprise IQ) Company Detail
11.7.2 Dassault Systems (Enterprise IQ) Business Overview
11.7.3 Dassault Systems (Enterprise IQ) ERP System with AI Introduction
11.7.4 Dassault Systems (Enterprise IQ) Revenue in ERP System with AI Business (2018-2023)
11.7.5 Dassault Systems (Enterprise IQ) Recent Development
11.8 EOXS
11.8.1 EOXS Company Detail
11.8.2 EOXS Business Overview
11.8.3 EOXS ERP System with AI Introduction
11.8.4 EOXS Revenue in ERP System with AI Business (2018-2023)
11.8.5 EOXS Recent Development
11.9 Aptean
11.9.1 Aptean Company Detail
11.9.2 Aptean Business Overview
11.9.3 Aptean ERP System with AI Introduction
11.9.4 Aptean Revenue in ERP System with AI Business (2018-2023)
11.9.5 Aptean Recent Development
11.10 Microsoft Dynamics
11.10.1 Microsoft Dynamics Company Detail
11.10.2 Microsoft Dynamics Business Overview
11.10.3 Microsoft Dynamics ERP System with AI Introduction
11.10.4 Microsoft Dynamics Revenue in ERP System with AI Business (2018-2023)
11.10.5 Microsoft Dynamics Recent Development
11.11 RealSTEEL
11.11.1 RealSTEEL Company Detail
11.11.2 RealSTEEL Business Overview
11.11.3 RealSTEEL ERP System with AI Introduction
11.11.4 RealSTEEL Revenue in ERP System with AI Business (2018-2023)
11.11.5 RealSTEEL Recent Development
11.12 Sage
11.12.1 Sage Company Detail
11.12.2 Sage Business Overview
11.12.3 Sage ERP System with AI Introduction
11.12.4 Sage Revenue in ERP System with AI Business (2018-2023)
11.12.5 Sage Recent Development
11.13 SAP
11.13.1 SAP Company Detail
11.13.2 SAP Business Overview
11.13.3 SAP ERP System with AI Introduction
11.13.4 SAP Revenue in ERP System with AI Business (2018-2023)
11.13.5 SAP Recent Development
11.14 SYSPRO
11.14.1 SYSPRO Company Detail
11.14.2 SYSPRO Business Overview
11.14.3 SYSPRO ERP System with AI Introduction
11.14.4 SYSPRO Revenue in ERP System with AI Business (2018-2023)
11.14.5 SYSPRO Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Oracle
Infor
Epicor Kinetic
IFS
Global Shop Solutions
Cetec ERP
Dassault Systems (Enterprise IQ)
EOXS
Aptean
Microsoft Dynamics
RealSTEEL
Sage
SAP
SYSPRO
Ěý
Ěý
*If Applicable.
