AI 엔지니어 수요 전망

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.

Reasons for buying this report:-

• 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.
• Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
• Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

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

TABLE OF CONTENTS

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