by The artificial intelligence engineering market size is poised to grow by USD 229.61 billion by 2033 from USD 9.2 billion in 2023, exhibiting a CAGR of 38% during the forecast period 2024 to 2033.
Key Points
- North America held the largest share of the market in 2023.
- Asia Pacific is forecasted to be the fastest-growing regional market.
- By solution, the services segment held the largest market share of the artificial intelligence engineering market.
- By solution, the software segment is expected to witness significant growth over the forecast period.
- By technology, the machine learning segment dominated the market in 2023.
- By technology, the deep learning segment is expected to witness significant growth over the forecast period.
- By deployment mode, the cloud segment is expected to dominate the market over the forecasted period.
- By deployment, the on-premise segment is expected to witness significant growth during the forecast period.
- By vertical, the IT & telecom segment held the largest share of the market in 2023.
- By vertical, the automotive and transportation segment is expected to witness significant growth during the forecast period.
Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Artificial intelligence engineering market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.
To begin with, the Artificial intelligence engineering Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.
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Artificial Intelligence Engineering Market Scope
| Report Coverage | Details |
| Growth Rate from 2024 to 2033 | CAGR of 38% |
| Global Market Size in 2023 | USD 9.2 Billion |
| Global Market Size by 2033 | USD 229.61 Billion |
| Largest Market | North America |
| Base Year | 2023 |
| Forecast Period | 2024 to 2033 |
| Segments Covered | By Solution, By Technology, By Deployment Mode, and By Vertical |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
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The empirical study on the global Artificial intelligence engineering market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Artificial intelligence engineering Market. Our market report for the Artificial intelligence engineering market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.
Artificial Intelligence Engineering Market Companies
- Google LLC (United States)
- IBM Corporation (United States)
- Amazon Web Services, Inc. (United States)
- Cisco Systems Inc. (United States)
- Nvidia Corporation (United States)
- Microsoft Corporation (United States)
- Siemens AG (Germany)
- Oracle Corporation (United States)
- SAP SE (Germany)
- Alibaba Cloud (China)
Data Sources and Methodology
To gather comprehensive insights on the Global Artificial intelligence engineering Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.
We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Artificial intelligence engineering Market.
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- The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.
Key Features of the Report:
- Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
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- Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.
Market Segmentation:
By Solution
- Hardware
- Software
- Services
By Technology
- Deep Learning
- Machine Learning
- Natural Language Processing
- Computer Vision
By Deployment Mode
- Cloud
- On-Premises
By Vertical
- Healthcare
- Automotive and Transportation
- Agriculture
- Information Technology (IT) & telecom
- Business Management
- Other End-Users
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Reasons to Consider Purchasing the Report:
- Enhance your market research capabilities by accessing this comprehensive and precise report on the global Artificial intelligence engineering market.
- Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
- Benefit from in-depth research and analysis of the latest trends shaping the global Artificial intelligence engineering market.
- Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Artificial intelligence engineering market.
- Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
- Discover not only the cutting-edge technological advancements in the global Artificial intelligence engineering market but also the strategic plans of industry leaders.
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence Engineering Market
5.1. COVID-19 Landscape: Artificial Intelligence Engineering Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence Engineering Market, By Solution
8.1. Artificial Intelligence Engineering Market, by Solution, 2024-2033
8.1.1. Hardware
8.1.1.1. Market Revenue and Forecast (2021-2033)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2021-2033)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2021-2033)
Chapter 9. Global Artificial Intelligence Engineering Market, By Technology
9.1. Artificial Intelligence Engineering Market, by Technology, 2024-2033
9.1.1. Deep Learning
9.1.1.1. Market Revenue and Forecast (2021-2033)
9.1.2. Machine Learning
9.1.2.1. Market Revenue and Forecast (2021-2033)
9.1.3. Natural Language Processing
9.1.3.1. Market Revenue and Forecast (2021-2033)
9.1.4. Computer Vision
9.1.4.1. Market Revenue and Forecast (2021-2033)
Chapter 10. Global Artificial Intelligence Engineering Market, By Deployment Mode
10.1. Artificial Intelligence Engineering Market, by Deployment Mode, 2024-2033
10.1.1. Cloud
10.1.1.1. Market Revenue and Forecast (2021-2033)
10.1.2. On-Premises
10.1.2.1. Market Revenue and Forecast (2021-2033)
Chapter 11. Global Artificial Intelligence Engineering Market, By Vertical
11.1. Artificial Intelligence Engineering Market, by Vertical, 2024-2033
11.1.1. Healthcare
11.1.1.1. Market Revenue and Forecast (2021-2033)
11.1.2. Automotive and Transportation
11.1.2.1. Market Revenue and Forecast (2021-2033)
11.1.3. Agriculture
11.1.3.1. Market Revenue and Forecast (2021-2033)
11.1.4. Information Technology (IT) & telecom
11.1.4.1. Market Revenue and Forecast (2021-2033)
11.1.5. Business Management
11.1.5.1. Market Revenue and Forecast (2021-2033)
11.1.6. Other End-Users
11.1.6.1. Market Revenue and Forecast (2021-2033)
Chapter 12. Global Artificial Intelligence Engineering Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Solution (2021-2033)
12.1.2. Market Revenue and Forecast, by Technology (2021-2033)
12.1.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.1.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Solution (2021-2033)
12.1.5.2. Market Revenue and Forecast, by Technology (2021-2033)
12.1.5.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.1.5.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Solution (2021-2033)
12.1.6.2. Market Revenue and Forecast, by Technology (2021-2033)
12.1.6.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.1.6.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Solution (2021-2033)
12.2.2. Market Revenue and Forecast, by Technology (2021-2033)
12.2.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.2.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Solution (2021-2033)
12.2.5.2. Market Revenue and Forecast, by Technology (2021-2033)
12.2.5.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.2.5.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Solution (2021-2033)
12.2.6.2. Market Revenue and Forecast, by Technology (2021-2033)
12.2.6.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.2.6.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Solution (2021-2033)
12.2.7.2. Market Revenue and Forecast, by Technology (2021-2033)
12.2.7.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.2.7.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Solution (2021-2033)
12.2.8.2. Market Revenue and Forecast, by Technology (2021-2033)
12.2.8.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.2.8.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Solution (2021-2033)
12.3.2. Market Revenue and Forecast, by Technology (2021-2033)
12.3.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.3.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Solution (2021-2033)
12.3.5.2. Market Revenue and Forecast, by Technology (2021-2033)
12.3.5.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.3.5.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Solution (2021-2033)
12.3.6.2. Market Revenue and Forecast, by Technology (2021-2033)
12.3.6.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.3.6.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Solution (2021-2033)
12.3.7.2. Market Revenue and Forecast, by Technology (2021-2033)
12.3.7.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.3.7.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Solution (2021-2033)
12.3.8.2. Market Revenue and Forecast, by Technology (2021-2033)
12.3.8.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.3.8.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Solution (2021-2033)
12.4.2. Market Revenue and Forecast, by Technology (2021-2033)
12.4.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.4.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Solution (2021-2033)
12.4.5.2. Market Revenue and Forecast, by Technology (2021-2033)
12.4.5.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.4.5.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Solution (2021-2033)
12.4.6.2. Market Revenue and Forecast, by Technology (2021-2033)
12.4.6.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.4.6.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Solution (2021-2033)
12.4.7.2. Market Revenue and Forecast, by Technology (2021-2033)
12.4.7.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.4.7.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Solution (2021-2033)
12.4.8.2. Market Revenue and Forecast, by Technology (2021-2033)
12.4.8.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.4.8.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Solution (2021-2033)
12.5.2. Market Revenue and Forecast, by Technology (2021-2033)
12.5.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.5.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Solution (2021-2033)
12.5.5.2. Market Revenue and Forecast, by Technology (2021-2033)
12.5.5.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.5.5.4. Market Revenue and Forecast, by Vertical (2021-2033)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Solution (2021-2033)
12.5.6.2. Market Revenue and Forecast, by Technology (2021-2033)
12.5.6.3. Market Revenue and Forecast, by Deployment Mode (2021-2033)
12.5.6.4. Market Revenue and Forecast, by Vertical (2021-2033)
Chapter 13. Company Profiles
13.1. Google LLC (United States)
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. IBM Corporation (United States)
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Amazon Web Services, Inc. (United States)
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Cisco Systems Inc. (United States)
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Nvidia Corporation (United States)
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Microsoft Corporation (United States)
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Siemens AG (Germany)
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Oracle Corporation (United States)
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. SAP SE (Germany)
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Alibaba Cloud (China)
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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