Artificial Intelligence Engineering Market Size, Share Report by 2033

According to a recent research report titled “Artificial Intelligence Engineering Market (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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024-2033″ published by Precedence Research, the global artificial intelligence engineering market size is projected to touch around USD 229.61 billion by 2033 and growing at a CAGR of 38% over the forecast period 2024 to 2033. This comprehensive study examines various factors and their impact on the growth of the artificial intelligence engineering market.

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.

The report primarily focuses on the volume and value of the artificial intelligence engineering market at the global, regional, and company levels. At the global level, the report analyzes historical data and future prospects to present an overview of the overall market size. Regionally, the study emphasizes key regions such as North America, Europe, the Middle East & Africa, Latin America, and others.

Furthermore, the research report provides specific segmentations based on regions (countries), companies, and all market segments. This analysis offers insights into the growth and revenue trends during the historical period of 2017 to 2032, as well as the projected period. By understanding these segments, it becomes possible to identify the significance of different factors that contribute to market growth.

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The research also highlights significant progressions in both organic and inorganic growth strategies within the global artificial intelligence engineering market. Numerous companies are placing emphasis on new product launches, gaining product approvals, and implementing various business expansion tactics. Moreover, the report presents detailed profiles of firms operating in the artificial intelligence engineering market, along with their respective market strategies. Additionally, the study concentrates on prominent industry participants, furnishing details such as company profiles, product offerings, financial updates, and noteworthy advancements.

Artificial Intelligence Engineering Market Scope

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Major Key Points Covered in Report:

Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.

Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.

Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.

Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.

Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.

Market Key Players

The report incorporates company profiles of key players in the market. These profiles encompass vital information such as product portfolio, key strategies, and a comprehensive SWOT analysis for each player. Additionally, the report presents a matrix illustrating the presence of each prominent player, enabling readers to gain actionable insights. This facilitates a thoughtful assessment of the market status and aids in predicting the level of competition in the artificial intelligence engineering market.

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)

Segments Covered in the Report

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

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

Why should you invest in this report?

This report presents a compelling investment opportunity for those interested in the global artificial intelligence engineering market. It serves as an extensive and informative guide, offering clear insights into this niche market. By delving into the report, you will gain a comprehensive understanding of the various major application areas for artificial intelligence engineering. Furthermore, it provides crucial information about the key regions worldwide that are expected to experience substantial growth within the forecast period of 2023-2030. Armed with this knowledge, you can strategically plan your market entry approaches.

Moreover, this report offers a deep analysis of the competitive landscape, equipping you with valuable insights into the level of competition prevalent in this highly competitive market. If you are already an established player, it will enable you to assess the strategies employed by your competitors, allowing you to stay ahead as market leaders. For newcomers entering this market, the extensive data provided in this report is invaluable, providing a solid foundation for informed decision-making.

Some of the key questions answered in this report:       

• What is the size of the overall Artificial intelligence engineering market and its segments?
• What are the key segments and sub-segments in the market?
• What are the key drivers, restraints, opportunities and challenges of the Artificial intelligence engineering market and how they are expected to impact the market?
• What are the attractive investment opportunities within the Artificial intelligence engineering market?
• What is the Artificial intelligence engineering market size at the regional and country-level?
• Who are the key market players and their key competitors?
• What are the strategies for growth adopted by the key players in Artificial intelligence engineering market?
• What are the recent trends in Artificial intelligence engineering market? (M&A, partnerships, new product developments, expansions)?
• What are the challenges to the Artificial intelligence engineering market growth?
• What are the key market trends impacting the growth of Artificial intelligence engineering market?

 

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