April 18, 2024
ICT

Artificial Intelligence Engineering Market Size To Rake USD 229.61 Bn By 2033

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.

Artificial intelligence engineering Market Size 2024 To 2033

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

Read More: U.S. Fertility Market Size to Hit USD 8.69 Billion by 2033

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.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Artificial intelligence engineering market report exclusively from precedence research

  • 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.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • 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.
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  • 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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