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Artificial Intelligence (AI) Market Size, Growth, Demands Outlook and Forecasts to 2030

Precedence Research - January 31, 2023

According to the research report, the global artificial intelligence (AI) market size is expected to touch USD 1,597.1 Billion by 2030, from USD 119.78 Billion in 2022, growing with a significant CAGR of 2% from 2022 to 2030. 


Artificial Intelligence Market Size, Statistics 2022 to 2030

The artificial intelligence (AI) report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence (AI) in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence (AI) market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence (AI) during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/1635

 Report Scope of the Artificial Intelligence Market

Report CoverageDetails
Market Size by 2030USD 1,597.1 Billion
Growth Rate from 2022 to 2030

CAGR of 38.1%

North America Market Share in 202142%
Software Segment Market Share in 202139%
Base Year2022
Forecast Period2023 to 2030
Segments CoveredType, Technology, Solution, End User, Business Function, Deployment Mode, Organization Size, System Type, Geography

This study covers a detailed segmentation of the global artificial intelligence (AI) market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence (AI) market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players    

  • Intel Corporation
  • Microsoft
  • IBM
  • Google
  • Amazon Web Services
  • Baidu, Inc.
  • NVIDIA Corporation
  • H2O.ai.
  • Lifegraph
  • Sensely, Inc.
  • Enlitic, Inc.
  • AiCure
  • HyperVerge, Inc.
  • Arm Limited
  • Clarifai, Inc.

Market Segmentation

 By Type

  • Narrow/Weak AI
  • General/Strong AI

By Technology

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Other Technology
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision

By Solution

  • Software
  • Hardware
  • Services

By End User

  • BFSI
    • Risk Assessment
    • Financial Analysis/Research
    • Investment/Portfolio Management
    • Others
  • Retail
  • Law
  • Healthcare
    • Robot Assisted Surgery
    • Virtual Nursing Assistants
    • Hospital Workflow Management
    • Dosage Error Reduction
    • Clinical Trial Participant Identifier
    • Preliminary Diagnosis
    • Automated Image Diagnosis
  • Advertising & Media
  • Manufacturing
  • Automotive and Transportation
  • Others

By Business Function

  • Marketing and Sales
  • Security
  • Finance
  • Law
  • Human Resource
  • Other

By Deployment Mode

  • Cloud
  • On-premises

By Organization Size

  • Large enterprises
  • Small and medium-sized enterprises (SMEs)

By System Type

  • Artificial Neural Networks
  • Digital Assistant
  • Automotive Robotics System
  • Embedded System

By Geography

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Malaysia
    • Philippines
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC
    • North Africa
    • South Africa
    • Rest of the Middle East & Africa

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence (AI) report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence (AI) market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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. Market Dynamics Analysis and Trends

5.1. Market Dynamics

5.1.1. Market Drivers

5.1.2. Market Restraints

5.1.3. Market Opportunities

5.2. Porter’s Five Forces Analysis

5.2.1. Bargaining power of suppliers

5.2.2. Bargaining power of buyers

5.2.3. Threat of substitute

5.2.4. Threat of new entrants

5.2.5. Degree of competition

Chapter 6. Competitive Landscape

6.1.1. Company Market Share/Positioning Analysis

6.1.2. Key Strategies Adopted by Players

6.1.3. Vendor Landscape

6.1.3.1. List of Suppliers

6.1.3.2. List of Buyers

Chapter 7. Global Artificial Intelligence Market, By Type

7.1. Artificial Intelligence Market, by Type, 2022-2030

7.1.1. Narrow/Weak AI

7.1.1.1. Market Revenue and Forecast (2017-2030)

7.1.2. General/Strong AI

7.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 8. Global Artificial Intelligence Market, By Technology

8.1. Artificial Intelligence Market, by Technology, 2022-2030

8.1.1. Machine Learning

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Natural Language Processing

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Context-Aware Computing

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. Computer Vision

8.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence Market, By Solution

9.1. Artificial Intelligence Market, by Solution, 2022-2030

9.1.1. Software

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Hardware

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Services

9.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence Market, By Business Function

10.1. Artificial Intelligence Market, by Business Function, 2022-2030

10.1.1. Marketing and Sales

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Security

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Finance

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Human Resource

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Law

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.6. Others

10.1.6.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence Market, By End-use

11.1. Artificial Intelligence Market, by End-use, 2022-2030

11.1.1. BFSI

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Retail

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Law

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Healthcare

11.1.4.1. Market Revenue and Forecast (2017-2030)

11.1.5. Advertising & Media

11.1.5.1. Market Revenue and Forecast (2017-2030)

11.1.6. Manufacturing

11.1.6.1. Market Revenue and Forecast (2017-2030)

11.1.7. Automotive and Transportation

11.1.7.1. Market Revenue and Forecast (2017-2030)

11.1.8. Others

11.1.8.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Artificial Intelligence Market, By Deployment Mode

12.1. Artificial Intelligence Market, by Deployment Mode, 2022-2030

12.1.1. Cloud

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. On-premises

12.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Artificial Intelligence Market, By Company Size

13.1. Artificial Intelligence Market, by Company Size, 2022-2030

13.1.1. Small

13.1.1.1. Market Revenue and Forecast (2017-2030)

13.1.2. Medium

13.1.2.1. Market Revenue and Forecast (2017-2030)

13.1.3. Large

13.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 14. Global Artificial Intelligence Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Forecast, by Type (2017-2030)

14.1.2. Market Revenue and Forecast, by Technology (2017-2030)

14.1.3. Market Revenue and Forecast, by Solution (2017-2030)

14.1.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.1.5. Market Revenue and Forecast, by End-use (2017-2030)

14.1.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.1.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.1.8. U.S.

14.1.8.1. Market Revenue and Forecast, by Type (2017-2030)

14.1.8.2. Market Revenue and Forecast, by Technology (2017-2030)

14.1.8.3. Market Revenue and Forecast, by Solution (2017-2030)

14.1.8.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.1.8.5. Market Revenue and Forecast, by End-use (2017-2030)

14.1.8.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.1.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.1.9.2. Market Revenue and Forecast, by Technology (2017-2030)

14.1.9.3. Market Revenue and Forecast, by Solution (2017-2030)

14.1.9.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.1.9.5. Market Revenue and Forecast, by End-use (2017-2030)

14.1.9.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.1.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2. Europe

14.2.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.2. Market Revenue and Forecast, by Technology (2017-2030)

14.2.3. Market Revenue and Forecast, by Solution (2017-2030)

14.2.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.2.5. Market Revenue and Forecast, by End-use (2017-2030)

14.2.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.2.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.8. UK

14.2.8.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.8.2. Market Revenue and Forecast, by Technology (2017-2030)

14.2.8.3. Market Revenue and Forecast, by Solution (2017-2030)

14.2.8.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.2.8.5. Market Revenue and Forecast, by End-use (2017-2030)

14.2.8.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.2.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.9. Germany

14.2.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.9.2. Market Revenue and Forecast, by Technology (2017-2030)

14.2.9.3. Market Revenue and Forecast, by Solution (2017-2030)

14.2.9.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.2.9.5. Market Revenue and Forecast, by End-use (2017-2030)

14.2.9.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.2.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.10. France

14.2.10.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.10.2. Market Revenue and Forecast, by Technology (2017-2030)

14.2.10.3. Market Revenue and Forecast, by Solution (2017-2030)

14.2.10.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.2.10.5. Market Revenue and Forecast, by End-use (2017-2030)

14.2.10.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.2.10.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.11. Rest of Europe

14.2.11.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.11.2. Market Revenue and Forecast, by Technology (2017-2030)

14.2.11.3. Market Revenue and Forecast, by Solution (2017-2030)

14.2.11.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.2.11.5. Market Revenue and Forecast, by End-use (2017-2030)

14.2.11.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.2.11.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3. APAC

14.3.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.2. Market Revenue and Forecast, by Technology (2017-2030)

14.3.3. Market Revenue and Forecast, by Solution (2017-2030)

14.3.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.3.5. Market Revenue and Forecast, by End-use (2017-2030)

14.3.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.3.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.8. India

14.3.8.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.8.2. Market Revenue and Forecast, by Technology (2017-2030)

14.3.8.3. Market Revenue and Forecast, by Solution (2017-2030)

14.3.8.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.3.8.5. Market Revenue and Forecast, by End-use (2017-2030)

14.3.8.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.3.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.9. China

14.3.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.9.2. Market Revenue and Forecast, by Technology (2017-2030)

14.3.9.3. Market Revenue and Forecast, by Solution (2017-2030)

14.3.9.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.3.9.5. Market Revenue and Forecast, by End-use (2017-2030)

14.3.9.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.3.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.10. Japan

14.3.10.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.10.2. Market Revenue and Forecast, by Technology (2017-2030)

14.3.10.3. Market Revenue and Forecast, by Solution (2017-2030)

14.3.10.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.3.10.5. Market Revenue and Forecast, by End-use (2017-2030)

14.3.10.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.3.10.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.11. Rest of APAC

14.3.11.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.11.2. Market Revenue and Forecast, by Technology (2017-2030)

14.3.11.3. Market Revenue and Forecast, by Solution (2017-2030)

14.3.11.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.3.11.5. Market Revenue and Forecast, by End-use (2017-2030)

14.3.11.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.3.11.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4. MEA

14.4.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.2. Market Revenue and Forecast, by Technology (2017-2030)

14.4.3. Market Revenue and Forecast, by Solution (2017-2030)

14.4.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.4.5. Market Revenue and Forecast, by End-use (2017-2030)

14.4.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.4.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.8. GCC

14.4.8.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.8.2. Market Revenue and Forecast, by Technology (2017-2030)

14.4.8.3. Market Revenue and Forecast, by Solution (2017-2030)

14.4.8.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.4.8.5. Market Revenue and Forecast, by End-use (2017-2030)

14.4.8.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.4.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.9. North Africa

14.4.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.9.2. Market Revenue and Forecast, by Technology (2017-2030)

14.4.9.3. Market Revenue and Forecast, by Solution (2017-2030)

14.4.9.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.4.9.5. Market Revenue and Forecast, by End-use (2017-2030)

14.4.9.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.4.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.10. South Africa

14.4.10.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.10.2. Market Revenue and Forecast, by Technology (2017-2030)

14.4.10.3. Market Revenue and Forecast, by Solution (2017-2030)

14.4.10.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.4.10.5. Market Revenue and Forecast, by End-use (2017-2030)

14.4.10.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.4.10.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.11. Rest of MEA

14.4.11.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.11.2. Market Revenue and Forecast, by Technology (2017-2030)

14.4.11.3. Market Revenue and Forecast, by Solution (2017-2030)

14.4.11.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.4.11.5. Market Revenue and Forecast, by End-use (2017-2030)

14.4.11.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.4.11.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.5. Latin America

14.5.1. Market Revenue and Forecast, by Type (2017-2030)

14.5.2. Market Revenue and Forecast, by Technology (2017-2030)

14.5.3. Market Revenue and Forecast, by Solution (2017-2030)

14.5.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.5.5. Market Revenue and Forecast, by End-use (2017-2030)

14.5.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.5.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.5.8. Brazil

14.5.8.1. Market Revenue and Forecast, by Type (2017-2030)

14.5.8.2. Market Revenue and Forecast, by Technology (2017-2030)

14.5.8.3. Market Revenue and Forecast, by Solution (2017-2030)

14.5.8.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.5.8.5. Market Revenue and Forecast, by End-use (2017-2030)

14.5.8.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.5.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.5.9.2. Market Revenue and Forecast, by Technology (2017-2030)

14.5.9.3. Market Revenue and Forecast, by Solution (2017-2030)

14.5.9.4. Market Revenue and Forecast, by Business Function (2017-2030)

14.5.9.5. Market Revenue and Forecast, by End-use (2017-2030)

14.5.9.6. Market Revenue and Forecast, by Company Size (2017-2030)

14.5.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)

Chapter 15. Company Profiles

15.1. Intel Corporation

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Microsoft

15.2.1. Company Overview

15.2.2. Product Offerings

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. IBM

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. Google

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. Amazon Web Services

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. Baidu, Inc.

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. NVIDIA Corporation

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

15.8. H2O.ai.

15.8.1. Company Overview

15.8.2. Product Offerings

15.8.3. Financial Performance

15.8.4. Recent Initiatives

15.9. Lifegraph

15.9.1. Company Overview

15.9.2. Product Offerings

15.9.3. Financial Performance

15.9.4. Recent Initiatives

15.10. Sensely, Inc.

15.10.1. Company Overview

15.10.2. Product Offerings

15.10.3. Financial Performance

15.10.4. Recent Initiatives

15.11. Enlitic, Inc.

15.11.1. Company Overview

15.11.2. Product Offerings

15.11.3. Financial Performance

15.11.4. Recent Initiatives

15.12. AiCure

15.12.1. Company Overview

15.12.2. Product Offerings

15.12.3. Financial Performance

15.12.4. Recent Initiatives

15.13. HyperVerge, Inc.

15.13.1. Company Overview

15.13.2. Product Offerings

15.13.3. Financial Performance

15.13.4. Recent Initiatives

Chapter 16. Research Methodology

16.1. Primary Research

16.2. Secondary Research

16.3. Assumptions

Chapter 17. Appendix

17.1. About Us

17.2. Glossary of Terms

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