AI Engineers Demand Outlook Size, Share, Opportunities, And Trends By Age (25 – 40 Years, 40 - 50 Years, 50– 60 Years, >60 Years), By Gender (Male, Female), By Field (Natural Language Processing (NLP), Computer Vision, Machine Learning Applications, Robotics, Others), And By Geography - Forecasts From 2024 To 2029

The AI Engineers Demand Outlook is expected to grow at a CAGR of 20.17%, reaching a market size of US$9.460 million in 2029 from US$3.775 million in 2024.

AI engineers are tasked with developing, programming, and training advanced algorithmic networks, which form the basis for Artificial Intelligence, allowing for such systems to emulate the functions of human brains. Based on their areas of specialization in AI, professionals can be divided into various categories, including Natural Language Processing (NLP), Computer Vision, Machine Learning applications, and Robotics. AI engineers have been given an extensive scope owing to the rapidly growing adoption of AI across several sectors, investments in research and development, and strong government policies on it.

AI Engineers Demand Outlook Drivers:

• Increasing use of artificial intelligence is anticipated to increase the demand

The increasing usage of artificial intellect also widens its scope to meet the rising demand for skilled professionals who design, develop, and implement such systems in different fields. Moreover, corporations and organizations use artificial intelligence to boost efficiency, automate processes, or aid decision-making, leading to increased recruitment within this profession. Consequently, AI technicians are now taking a lead role in defining how technology will look in the future amidst multiple transformations across diverse industries today.

• Increased research and development are anticipated to drive the market growth

A friendly atmosphere for AI-driven projects and start-ups has been achieved through increased funding for AI research and development, sound policies, and incentives. These initiatives encourage more people to take up AI engineering careers and receive specialized education and training programs that provide a skilled workforce that can cater to the growing demand in the industry. Therefore, state support and investments by private stakeholders have considerably raised the number of engineers specializing in this field. For example, in February 2023, the Union Budget was announced by the Minister of Finance in India, who indicated that three centers of excellence on Artificial Intelligence would be established in some of the best universities in the country.

• Growing adoption of big data is increasing the market growth

The global AI engineering market is seeing increasing income stemming from the growing appetite for big data, which serves as a yardstick for decision-making purposes. Big data refers to very large and complex data sets that traditional database management tools and data processing applications find hard to cope with. Organizations use big data to maximize profits, improve general performance, and make crucial business decisions.

All stages of the big data process, including collecting, storing, and acquiring different types of information from various sources, require the incorporation of AI. In addition, AI can help with data model generation, exploratory data analysis (EDA), automation, and speeding up data processing tasks. As a result, this element also fuels the need for AI engineering.

AI Engineers Demand Outlook Restraints:

• Increased cyber threats are anticipated to impede market growth

The global artificial intelligence engineering market faces difficulties associated with the increasing rate of cyberattacks. AI is used globally in government and other industries and is hence more susceptible to malicious cyber attacks. Attackers exploit corporate IT networks and advanced AI technology vulnerabilities to carry out data breaches, losses of money, and injury to one's name. Thus, these challenges hinder the global artificial intelligence engineering market growth.

AI Engineers Demand Outlook Geographical Outlook

• North America is witnessing exponential growth during the forecast period

Several factors account for the surge in AI engineers in America, such as government initiatives, financial support from the US government, and increasing employment opportunities in AI. For instance, it is projected that there will be about 40,500 openings for jobs requiring skills in data science between 2021 and 2031, according to the Bureau of Labour Statistics report. In collaboration with various federal bodies and colleges, the National Science Foundation of the USA announced their plan to establish seven artificial intelligence research institutes in America, with a budget of $140 million, by May 2023.

AI Engineers Demand Outlook Key Launches

• In June 2023, Accenture Cloud First acquired Nextira, which works with AWS Premier Partners, to enhance its engineering skill set. Using AWS, Nextira offers immersive experiences, predictive analytics, and cloud solutions. As a result of this acquisition, clients now have access to various unlimited cloud services and tools, saving them time during their operations.
• In April 2023, Deloitte unveiled a new service enabling customers to leverage Foundation Models. Deloitte has launched a new service that allows customers to harness Foundation Models and Generative AI for improved productivity and business innovation. In doing so, it aids business leaders in formulating successful strategies on how best they can use generative artificial intelligence (AI) along with creative applications driven by AI through the use of high-quality data, algorithms, and sometimes even consultancy based on machine learning models.
• In March 2023, Amazon and IIT Bombay jointly established the Amazon IIT-Bombay AI-ML Initiative. This initiative's overarching intention is to finance community engagements, PhD scholarships, and research projects. The venture, hosted by the Department of Computer Science and Engineering at IIT Bombay, strives to promote advancements in ML and AI technology, emphasizing speech recognition, natural language processing, and multimodal AI aspects. 

The AI Engineers Demand Outlook is segmented and analyzed as follows:

• By Age
  • 25 – 40 Years
  • 40 - 50 Years
  • 50– 60 Years
  • >60 Years
• By Gender
  • Male
  • Female
• By Field
  • Natural Language Processing (NLP)
  • Computer Vision
  • Machine Learning Applications
  • Robotics
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Thailand
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI ENGINEERS DEMAND OUTLOOK BY AGE

5.1. Introduction

5.2. 25 – 40 Years

5.3. 40 - 50 Years

5.4. 50– 60 Years

5.5. >60 Years

6. AI ENGINEERS DEMAND OUTLOOK  BY GENDER

6.1. Introduction

6.2. Male

6.3. Female

7. AI ENGINEERS DEMAND OUTLOOK  BY FIELD

7.1. Introduction

7.2. Natural Language Processing (NLP)

7.3. Computer Vision

7.4. Machine Learning Applications

7.5. Robotics

7.6. Others

8. AI ENGINEERS DEMAND OUTLOOK  BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Age

8.2.2. By Gender

8.2.3. By Field

8.2.4. By Country

8.2.4.1. United States

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Age

8.3.2. By Gender

8.3.3. By Field

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Age

8.4.2. By Gender

8.4.3. By Field

8.4.4. By Country

8.4.4.1. United Kingdom

8.4.4.2. Germany

8.4.4.3. France

8.4.4.4. Italy

8.4.4.5. Spain   

8.4.4.6. Others

8.5. Middle East and Africa

8.5.1. By Age

8.5.2. By Gender

8.5.3. By Field

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Others

8.6. Asia Pacific

8.6.1. By Age

8.6.2. By Gender

8.6.3. By Field

8.6.4. By Country

8.6.4.1. Japan

8.6.4.2. China

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Taiwan

8.6.4.6. Thailand

8.6.4.7. Indonesia

8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Google LLC 

10.2. IBM Corporation 

10.3. Amazon Web Services, Inc.

10.4. Cisco Systems Inc. 

10.5. Nvidia Corporation 

10.6. Microsoft Corporation 

10.7. Siemens AG 

10.8. Oracle Corporation 

10.9. SAP SE 

10.10. Alibaba Cloud 

Google LLC 

IBM Corporation 

Amazon Web Services, Inc.

Cisco Systems Inc. 

Nvidia Corporation 

Microsoft Corporation 

Siemens AG 

Oracle Corporation 

SAP SE 

Alibaba Cloud