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Global Artificial Intelligence (AI) Industry Report 2023-2026: Economic Impact of AI, Productivity Gains from AI, Increase in Consumer Demand, Job Loss or New Job Opportunities

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Dublin, June 08, 2023 (GLOBE NEWSWIRE) -- The "Global Artificial Intelligence Industry - Forecast and Analysis 2023" report has been added to's offering.

The global AI market was valued at around $62.35 billion in 2020, and it is expected to grow at a compound annual growth rate (CAGR) of nearly 40% during the forecast period from 2021 to 2026.

This report serves as a valuable resource for industry stakeholders, investors, researchers, and professionals seeking comprehensive insights into the global AI industry, its market dynamics, and future prospects.

In recent years, the global artificial intelligence (AI) industry has experienced remarkable growth and transformation, revolutionizing various sectors and driving technological advancements. The industry has witnessed significant investments, with both established tech giants and emerging start-ups contributing to its development.


Multiple sectors have been rapidly adopting AI technologies to enhance their operations and decision-making processes. Industries such as healthcare, finance, military, and retail have all shown significant interest and investment in AI applications.

While North America remains a prominent market for AI, with the United States being a key contributor to the industry, Europe and the Asia Pacific region have also witnessed substantial growth and adoption of AI technologies.

Looking ahead, the global AI market is expected to continue its upward trajectory, driven by many emerging technologies. Moreover, the market outlook highlights the potential for AI to reshape industries further, opening up new possibilities and creating exciting opportunities for businesses worldwide.

The publisher presents a comprehensive analysis of the Global Artificial Intelligence (AI) Industry in its research report Global Artificial Intelligence Industry - Forecast and Analysis 2023.

The report contains the following:

  • It delves into the various aspects of AI, including its definition, evolution, and working principles. The report explores the differentiation between AI, machine learning, and deep learning, while highlighting the significance and potential impact of AI across industries.

  • With an extensive market analysis, the report offers insights into the current state and future growth of the global AI industry up to 2026. It examines market segmentation, trends, and the impact of COVID-19 on AI adoption.

  • The technology landscape section outlines the key components such as machine learning algorithms, natural language processing, computer vision, robotics, and emerging technologies in AI.

  • To provide a holistic view, the report conducts a SWOT analysis, PEST analysis, and Porter's Five Forces Strategy Analysis of the AI industry.

  • The regulatory landscape and regional analysis sections shed light on the global regulatory environment and the adoption of AI across different regions. The report also presents case studies and examples of real-world applications of AI, ranging from deepfake detection to speech recognition and automatic translation.

  • The report covers the major AI markets worldwide, including China, Germany, India, Japan, the United States, and others, highlighting their contributions to the AI industry. It examines investment trends, corporate investment, and the rise of AI start-ups.

  • Strategic recommendations are provided for market entry, growth strategies, partnerships, and collaborations in the AI industry. The report identifies key technology trends such as cloud computing, big data, and the Internet of Things (IoT) that are driving AI advancements. Additionally, it emphasizes the importance of addressing AI bias and ethical considerations.

  • The research concludes with a market outlook, highlighting future applications and emerging trends in the AI industry.

  • The competitive landscape section showcases major industry players, including Alibaba Cloud, Amazon Web Services, Baidu, Google, IBM, Nvidia, Microsoft, and others.

Competitive Landscape

  • Alibaba Cloud

  • Amazon Web Services Inc.

  • Apple Inc.

  • Baidu Inc.

  • Cisco Systems

  • DataRobot, Inc.

  • Meta Platforms, Inc. (Facebook)

  • General Electric Company

  • Google/Alphabet Inc.


  • Huawei

  • IBM Corporation

  • Intel Corporation

  • Microsoft Corporation

  • NEC Corporation

  • NVIDIA Corporation


  • Oracle Corporation


  • Inc.

  • Samsung Electronics

  • SAP SE

  • SAS Institute Inc.

  • Siemens AG

  • Sift

Key Topics Covered:

A. Executive Summary

B. Introduction to the Global Artificial Intelligence Industry
B.1 What is Artificial Intelligence?
B.2 Industry Evolution and History
B.3 How does AI Work?
B.4 What is the difference between AI, Machine Learning, & Deep Learning?
B.5 Why is AI so Important?
B.6 Pros & Cons of Artificial Intelligence?
B.7 Weak AI vs. Strong AI
B.8 Stages of Artificial Intelligence
B.8.1 Artificial Narrow Intelligence
B.8.2 Artificial General Intelligence
B.8.3 Artificial Super Intelligence
B.9 Types of Artificial Intelligence
B.10 Rise of Generative AI

C. Global Artificial Intelligence Industry
C.1 Industry Definition
C.2 Market Analysis
C.3 Market Segmentation
C.4 Market Size and Growth
C.5 Market Trends and Outlook
C.6 Global Adoption of AI
C.7 Impact of COVID-19 on the Industry

D. Global Artificial Intelligence Industry: Technology Landscape
D.1 Overview of Technology Landscape
D.2 Machine Learning Algorithms
D.3 Natural Language Processing
D.4 Computer Vision
D.5 Robotics and Automation
D.6 Emerging Technologies in AI

E. Global Artificial Intelligence Industry: SWOT Analysis
E.1 Strengths to Build Upon
E.2 Weaknesses to Overcome
E.3 Opportunities to Exploit
E.4 Threats to Overcome

F. Global Artificial Intelligence Industry: Porter's Five Forces Strategy Analysis
F.1 Overview
F.2 Bargaining Power of Buyers
F.3 Bargaining Power of Suppliers
F.4 Competitive Rivalry in the Industry
F.5 Threat of New Entrants
F.6 Threat of Substitutes

G. Global Artificial Intelligence Industry: PEST Analysis
G.1 Political Factors
G.2 Economic Factors
G.3 Social Factors
G.4 Technological Factors

H. Market Dynamics
H.1 Market Trends & Challenges
H.2 Key Success Factors for Companies in AI
H.3 Mergers and Acquisitions in the Industry
H.4 Industry Outlook for Profitability in AI

I. Why AI Matters?
I.1 Economic Impact of AI
I.2 Productivity Gains from AI
I.3 Increase in Consumer Demand
I.4 Job Loss or New Job Opportunities?

J. Global Artificial Intelligence Industry: Regulatory Landscape

K. Global Artificial Intelligence Market Analysis by Application
K.1 Overview of Applications of AI
K.2 Agriculture
K.3 Automotive & Autonomous Vehicles
K.4 Aviation/Airlines
K.5 Chatbots
K.6 COVID-19 and AI-powered Drug Discovery
K.7 Defence
K.8 Education
K.9 Finance and Banking
K.10 Gaming
K.11 Industrial Applications
K.12 Industrial Robots
K.13 Manufacturing
K.14 Media and Entertainment
K.15 Pharmaceuticals and Healthcare
K.16 Retail
K.17 Space Exploration
K.18 Technology and Communications
K.19 Transportation and Logistics
K.20 Utilities & Smart Grid

L. Regional Analysis
L.1 North America
L.2 Europe
L.3 Asia Pacific
L.4 Latin America
L.5 Middle East and Africa

M. Major AI Markets
M.1 Overview of the Leading AI Markets
M.2 China
M.3 Germany
M.4 India
M.5 Israel
M.6 Japan
M.7 Russia
M.8 Singapore
M.9 South Korea
M.10 United Kingdom
M.11 United States

N. Global Investment in AI
N.1 Corporate Investment
N.2 Boom in AI Start-ups
N.3 Investment by Region
N.4 Investment by Application Areas
N.5 Major Investment Trends

O. Real-World Applications of AI: Case Studies and Examples
O.1 Deepfake Detection
O.2 Image Recognition
O.3 Estimation of Human Pose
O.4 Semantic Segmentation
O.5 Embodied Vision
O.6 Computer Vision - Video Analysis
O.7 SuperGLUE
O.8 Stanford Question Answering Dataset (SQuAD)
O.9 OpenAI and ChatGPT
O.10 Speech Recognition
O.11 Automatic Translation

P. Strategic Recommendations
P.1 Market Entry Strategies
P.2 Growth Strategies
P.3 Partnerships and Collaborations
P.4 Technology Trends that are Advancing AI
P.4.5 Internet of Thing (IoT)
P.5 Dealing with AI Bias

Q. Global Artificial Intelligence Industry: Market Outlook
Q.1 Global Market Outlook
Q.2 Future Applications
Q.3 Future AI Market Trends to Watch Out For

R. Global Artificial Intelligence Industry: Competitive Landscape
R.1 Competition in the Industry
R.2 Major Industry Players

For more information about this report visit

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