Industry: Service & Software
Published Date: 2026-06-16
Pages: 136 Pages
Report ld: 6767197
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The global market for Artificial Intelligence (AI) Engineering was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.106%, including software, hardware and services.
This report provides a comprehensive view of the global market for Artificial Intelligence (AI) Engineering, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Artificial Intelligence (AI) Engineering market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) Engineering.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Artificial Intelligence (AI) Engineering companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Artificial Intelligence (AI) Engineering revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Artificial Intelligence (AI) Engineering revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
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All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Artificial Intelligence (AI) Engineering Product Introduction
1.2 Global Artificial Intelligence (AI) Engineering Market Size Forecast (2021–2032)
1.3 Artificial Intelligence (AI) Engineering Market Trends & Drivers
1.3.1 Artificial Intelligence (AI) Engineering Industry Trends
1.3.2 Artificial Intelligence (AI) Engineering Market Drivers & Opportunities
1.3.3 Artificial Intelligence (AI) Engineering Market Challenges
1.3.4 Artificial Intelligence (AI) Engineering Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence (AI) Engineering Players Revenue Ranking (2025)
2.2 Global Artificial Intelligence (AI) Engineering Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Artificial Intelligence (AI) Engineering Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Artificial Intelligence (AI) Engineering
2.6 Artificial Intelligence (AI) Engineering Market Competitive Analysis
2.6.1 Artificial Intelligence (AI) Engineering Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Artificial Intelligence (AI) Engineering Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Artificial Intelligence (AI) Engineering revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Artificial Intelligence (AI) Engineering Market Classification
3.1 Introduction by Type
3.1.1 Software
3.1.2 Services
3.1.3 Global Artificial Intelligence (AI) Engineering Sales Value by Type
3.1.3.1 Global Artificial Intelligence (AI) Engineering Sales Value by Type (2021 vs 2025 vs 2032)
3.1.3.2 Global Artificial Intelligence (AI) Engineering Sales Value, by Type (2021–2032)
3.1.3.3 Global Artificial Intelligence (AI) Engineering Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 On-Cloud
4.1.2 On-Premise
4.2 Global Artificial Intelligence (AI) Engineering Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) Engineering Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Artificial Intelligence (AI) Engineering Sales Value by Application (2021–2032)
4.2.3 Global Artificial Intelligence (AI) Engineering Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) Engineering Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) Engineering Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Artificial Intelligence (AI) Engineering Sales Value by Region (2021–2026)
5.1.3 Global Artificial Intelligence (AI) Engineering Sales Value by Region (2027–2032)
5.1.4 Global Artificial Intelligence (AI) Engineering Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
5.2.2 North America Artificial Intelligence (AI) Engineering Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
5.3.2 Europe Artificial Intelligence (AI) Engineering Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
5.4.2 Asia Pacific Artificial Intelligence (AI) Engineering Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
5.5.2 South America Artificial Intelligence (AI) Engineering Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
5.6.2 Middle East & Africa Artificial Intelligence (AI) Engineering Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) Engineering Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.3 United States
6.3.1 United States Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.3.2 United States Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.4.2 Europe Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.5.2 China Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.5.3 China Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.6.2 Japan Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.7.2 South Korea Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.8.2 Southeast Asia Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Artificial Intelligence (AI) Engineering Sales Value, 2021–2032
6.9.2 India Artificial Intelligence (AI) Engineering Sales Value by Type (%), 2025 vs 2032
6.9.3 India Artificial Intelligence (AI) Engineering Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Microsoft Corp
7.1.1 Microsoft Corp Profile
7.1.2 Microsoft Corp Main Business
7.1.3 Microsoft Corp Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.1.4 Microsoft Corp Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.1.5 Microsoft Corp Recent Developments
7.2 Intel Corp
7.2.1 Intel Corp Profile
7.2.2 Intel Corp Main Business
7.2.3 Intel Corp Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.2.4 Intel Corp Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.2.5 Intel Corp Recent Developments
7.3 Oracle Corporation
7.3.1 Oracle Corporation Profile
7.3.2 Oracle Corporation Main Business
7.3.3 Oracle Corporation Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.3.4 Oracle Corporation Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.3.5 Oracle Corporation Recent Developments
7.4 Alphabet Inc
7.4.1 Alphabet Inc Profile
7.4.2 Alphabet Inc Main Business
7.4.3 Alphabet Inc Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.4.4 Alphabet Inc Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.4.5 Alphabet Inc Recent Developments
7.5 IBM Corp
7.5.1 IBM Corp Profile
7.5.2 IBM Corp Main Business
7.5.3 IBM Corp Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.5.4 IBM Corp Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.5.5 IBM Corp Recent Developments
7.6 Nvidia Corp
7.6.1 Nvidia Corp Profile
7.6.2 Nvidia Corp Main Business
7.6.3 Nvidia Corp Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.6.4 Nvidia Corp Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.6.5 Nvidia Corp Recent Developments
7.7 Cisco Systems
7.7.1 Cisco Systems Profile
7.7.2 Cisco Systems Main Business
7.7.3 Cisco Systems Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.7.4 Cisco Systems Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.7.5 Cisco Systems Recent Developments
7.8 Baidu Inc
7.8.1 Baidu Inc Profile
7.8.2 Baidu Inc Main Business
7.8.3 Baidu Inc Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.8.4 Baidu Inc Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.8.5 Baidu Inc Recent Developments
7.9 Verint Systems
7.9.1 Verint Systems Profile
7.9.2 Verint Systems Main Business
7.9.3 Verint Systems Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.9.4 Verint Systems Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.9.5 Verint Systems Recent Developments
7.10 Salesforce.com Inc
7.10.1 Salesforce.com Inc Profile
7.10.2 Salesforce.com Inc Main Business
7.10.3 Salesforce.com Inc Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.10.4 Salesforce.com Inc Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.10.5 Salesforce.com Inc Recent Developments
7.11 Meta Platforms Inc
7.11.1 Meta Platforms Inc Profile
7.11.2 Meta Platforms Inc Main Business
7.11.3 Meta Platforms Inc Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.11.4 Meta Platforms Inc Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.11.5 Meta Platforms Inc Recent Developments
7.12 SAP SE
7.12.1 SAP SE Profile
7.12.2 SAP SE Main Business
7.12.3 SAP SE Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.12.4 SAP SE Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.12.5 SAP SE Recent Developments
7.13 Dolbey Systems
7.13.1 Dolbey Systems Profile
7.13.2 Dolbey Systems Main Business
7.13.3 Dolbey Systems Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.13.4 Dolbey Systems Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.13.5 Dolbey Systems Recent Developments
7.14 People.ai
7.14.1 People.ai Profile
7.14.2 People.ai Main Business
7.14.3 People.ai Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.14.4 People.ai Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.14.5 People.ai Recent Developments
7.15 Netbase Solutions
7.15.1 Netbase Solutions Profile
7.15.2 Netbase Solutions Main Business
7.15.3 Netbase Solutions Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.15.4 Netbase Solutions Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.15.5 Netbase Solutions Recent Developments
7.16 Lexalytics
7.16.1 Lexalytics Profile
7.16.2 Lexalytics Main Business
7.16.3 Lexalytics Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.16.4 Lexalytics Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.16.5 Lexalytics Recent Developments
7.17 Siemens AG
7.17.1 Siemens AG Profile
7.17.2 Siemens AG Main Business
7.17.3 Siemens AG Artificial Intelligence (AI) Engineering Products, Services, and Solutions
7.17.4 Siemens AG Artificial Intelligence (AI) Engineering Revenue (US$ Million), 2021–2026
7.17.5 Siemens AG Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) Engineering Value Chain
8.2 Artificial Intelligence (AI) Engineering Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Artificial Intelligence (AI) Engineering Sales Model
8.5.2 Sales Channels
8.5.3 Artificial Intelligence (AI) Engineering Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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