AI Engineers Demand Outlook

AI Engineers Demand Outlook


The AI engineers demand 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.

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.

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Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub - segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
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Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

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

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