Artificial Intelligence (AI) Software Market (By Deployment Model: On-premises, Cloud; By Offering: Hardware, Software, Services; By Application: Voice Processing, Text Processing, Image Processing; By End-User: Healthcare, BFSI, Law, Retail, Advertising and Media, Automotive & Transportation, Agriculture, Manufacturing, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

The global artificial intelligence (AI) software market size was exhibited at USD 138.4 billion in 2022 and is projected to hit around USD 1,094.52 billion by 2032, growing at a CAGR of 22.97% during the forecast period 2023 to 2032.

Key Pointers:

  • By deployment model, the cloud segment is projected to boost the market from 2023-2032.
  • By offering, the software segment is likely to hold the largest market revenue share from 2023-2032.
  • By application, the voice processing segment holds the largest market revenue share from 2023-2032.
  • By end-user, the advertising and media segment contributed to a revenue share of around 22% in 2022. 
  • By geography, The North America holds the largest revenue share of more than 44% in 2022.

COVID-19 Scenario Analysis: 

Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the WHO declaring it a public health emergency. The global impacts of the disease are already starting to be felt, and expected to significantly affect the artificial intelligence software market in 2020.

Worldwide lockdowns have resulted into business shutdowns, however, AI software based chatbots help businesses to resolve their clients queries without letting them know to whom they are talking and help them to improve their efficiency.

To stop the spread of COVID-19, all schools, colleges, and educational institutions are shut down. Thus, the education sector has adopted AI software, which helps institutions to get better data insights about their students to know how they are performing and where they need to improve.

AI software also help in the healthcare sector by learning from data insights and use of predictive analysis for better patient monitoring and improved care.  

Artificial Intelligence (AI) Software Market Report Scope

Report Coverage

Details

Market Size in 2023

USD 138.4 Billion

Market Size by 2032

USD 1,094.52 Billion

Growth Rate From 2023 to 2032

CAGR of 22.97%

Base Year

2022

Forecast Period

2023 to 2032

Segments Covered

By Deployment Model, By Offering, By Application, By End-User

Market Analysis (Terms Used)

Value (US$ Million/Billion) or (Volume/Units)

Regional Scope

North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa

Key Companies Profiled

Advanced Micro Devices, Baidu, Inc., Atomwise, Inc., International Business Machines Corporation, Oracle, Cisco, Google LLC, Intel Corporation, Microsoft, Lifegraph, Cyrcadia Health and Others.

 

 

Artificial intelligence (AI) software is a mainframe program that duplicates human behavior by learning from different insights and data patterns. Various types of AI software include artificial intelligence platforms, chatbots, deep learning software, and machine learning software. Furthermore, AI software have number of features such as virtual assistant, voice and speech recognition, and machine learning. Various types of businesses use artificial intelligence software integrated with machine learning to streamline their business processes and structure their data to get better data insights. In addition, owing to rise in technology advancements, the AI software market is expected to witness exponential growth in the future.

Rise in adoption of cloud-based applications and services and focus on improvement of operational efficiency in enterprises are the major factors that drive artificial intelligence software market growth. In addition, increase in demand for intelligent virtual assistants and growth in adoption of big data analytics among SMEs are expected to supplement the artificial intelligence software market growth. However, lack of technical expertise and management of complex software hamper the market growth. Furthermore, adoption of various technologies such as internet of things (IoT), machine learning, and industry 4.0. is expected to provide lucrative opportunities for the global artificial intelligence software market.

Big data has a key role in data mining and handling enormous amount of data generated. It is considered among the emerging trends in the artificial intelligence market. In addition, rise in amount of structured and unstructured data in organizations creates demand for big data applications. AI and big data help in analyzing information by learning from patterns and helping companies to take smart decisions. Hence, enterprises are implementing big data enabled AI solutions.

By region, the artificial intelligence software market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East & Africa. Geographically, North America holds the largest revenue share of more than 43% in 2022 due to rising investments. The North American region's manufacturing, retail, and healthcare industries have shown significant growth in the artificial intelligence software market during the post-Covid-19 pandemic. The implementation of 5G technology is projected to boost the artificial intelligence software market in the Asia Pacific region. The presence of major key players in China, such as Huawei, Baidu, Inc. & Alibaba Cloud, push the artificial intelligence software market towards growth. 

The market in the Middle East region is expected to grow in upcoming years with the government's noticeable initiatives. The Saudi Arabian government has developed Saudi Data and AI Authority (SDAIA), which aims to position Saudi Arabia in the top 10 countries in artificial intelligence.

Some of the prominent players in the Artificial Intelligence (AI) Software Market include:

  • Advanced Micro Devices,
  • Baidu, Inc.
  • Atomwise, Inc.
  • International Business Machines Corporation
  • Oracle
  • Cisco
  • Google LLC
  • Intel Corporation
  • Microsoft
  • Lifegraph
  • Cyrcadia Health.

Segments Covered in the Report

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Artificial Intelligence (AI) Software market.

By Deployment Model 

  • On-premises
  • Cloud

By Offering

  • Hardware
  • Software
  • Services

By Application

  • Voice Processing
  • Text Processing
  • Image Processing

By End-User

  • Law
  • Retail
  • Healthcare
  • BFSI
  • Advertising and Media
  • Automotive & Transportation
  • Agriculture
  • Manufacturing
  • Others

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

Frequently Asked Questions

The global artificial intelligence (AI) software market size was exhibited at USD 138.4 billion in 2022 and is projected to hit around USD 1,094.52 billion by 2032

The global artificial intelligence (AI) software market is poised to grow at a CAGR of 22.97% from 2023 to 2032.

The major players operating in the artificial intelligence (AI) software market are Advanced Micro Devices, Baidu, Inc., Atomwise, Inc., International Business Machines Corporation, Oracle, Cisco, Google LLC, Intel Corporation, Microsoft, Lifegraph, Cyrcadia Health and Others.

North America region will lead the global artificial intelligence (AI) software market during the forecast period 2023 to 2032.

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. COVID 19 Impact on Artificial Intelligence (AI) Software Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) Software Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) Software Market, By Deployment Model

8.1. Artificial Intelligence (AI) Software Market, by Deployment Model, 2022-2032

8.1.1. On-premises

8.1.1.1. Market Revenue and Forecast (2022-2032)

8.1.2. Cloud

8.1.2.1. Market Revenue and Forecast (2022-2032)

Chapter 9. Global Artificial Intelligence (AI) Software Market, By Offering

9.1. Artificial Intelligence (AI) Software Market, by Offering, 2022-2032

9.1.1. Hardware

9.1.1.1. Market Revenue and Forecast (2022-2032)

9.1.2. Software

9.1.2.1. Market Revenue and Forecast (2022-2032)

9.1.3. Services

9.1.3.1. Market Revenue and Forecast (2022-2032)

Chapter 10. Global Artificial Intelligence (AI) Software Market, By Application 

10.1. Artificial Intelligence (AI) Software Market, by Application, 2022-2032

10.1.1. Voice Processing

10.1.1.1. Market Revenue and Forecast (2022-2032)

10.1.2. Text Processing

10.1.2.1. Market Revenue and Forecast (2022-2032)

10.1.3. Image Processing

10.1.3.1. Market Revenue and Forecast (2022-2032)

Chapter 11. Global Artificial Intelligence (AI) Software Market, By End-User 

11.1. Artificial Intelligence (AI) Software Market, by End-User, 2022-2032

11.1.1. Healthcare

11.1.1.1. Market Revenue and Forecast (2022-2032)

11.1.2. BFSI

11.1.2.1. Market Revenue and Forecast (2022-2032)

11.1.3. Law

11.1.3.1. Market Revenue and Forecast (2022-2032)

11.1.4. Retail

11.1.4.1. Market Revenue and Forecast (2022-2032)

11.1.5. Automotive & Transportation

11.1.5.1. Market Revenue and Forecast (2022-2032)

11.1.6. Agriculture

11.1.6.1. Market Revenue and Forecast (2022-2032)

11.1.7. Manufacturing

11.1.7.1. Market Revenue and Forecast (2022-2032)

11.1.8. Others

11.1.8.1. Market Revenue and Forecast (2022-2032)

Chapter 12. Global Artificial Intelligence (AI) Software Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.1.2. Market Revenue and Forecast, by Offering (2022-2032)

12.1.3. Market Revenue and Forecast, by Application (2022-2032)

12.1.4. Market Revenue and Forecast, by End-User (2022-2032)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.1.5.2. Market Revenue and Forecast, by Offering (2022-2032)

12.1.5.3. Market Revenue and Forecast, by Application (2022-2032)

12.1.5.4. Market Revenue and Forecast, by End-User (2022-2032)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.1.6.2. Market Revenue and Forecast, by Offering (2022-2032)

12.1.6.3. Market Revenue and Forecast, by Application (2022-2032)

12.1.6.4. Market Revenue and Forecast, by End-User (2022-2032)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.2.2. Market Revenue and Forecast, by Offering (2022-2032)

12.2.3. Market Revenue and Forecast, by Application (2022-2032)

12.2.4. Market Revenue and Forecast, by End-User (2022-2032)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.2.5.2. Market Revenue and Forecast, by Offering (2022-2032)

12.2.5.3. Market Revenue and Forecast, by Application (2022-2032)

12.2.5.4. Market Revenue and Forecast, by End-User (2022-2032)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.2.6.2. Market Revenue and Forecast, by Offering (2022-2032)

12.2.6.3. Market Revenue and Forecast, by Application (2022-2032)

12.2.6.4. Market Revenue and Forecast, by End-User (2022-2032)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.2.7.2. Market Revenue and Forecast, by Offering (2022-2032)

12.2.7.3. Market Revenue and Forecast, by Application (2022-2032)

12.2.7.4. Market Revenue and Forecast, by End-User (2022-2032)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.2.8.2. Market Revenue and Forecast, by Offering (2022-2032)

12.2.8.3. Market Revenue and Forecast, by Application (2022-2032)

12.2.8.4. Market Revenue and Forecast, by End-User (2022-2032)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.3.2. Market Revenue and Forecast, by Offering (2022-2032)

12.3.3. Market Revenue and Forecast, by Application (2022-2032)

12.3.4. Market Revenue and Forecast, by End-User (2022-2032)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.3.5.2. Market Revenue and Forecast, by Offering (2022-2032)

12.3.5.3. Market Revenue and Forecast, by Application (2022-2032)

12.3.5.4. Market Revenue and Forecast, by End-User (2022-2032)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.3.6.2. Market Revenue and Forecast, by Offering (2022-2032)

12.3.6.3. Market Revenue and Forecast, by Application (2022-2032)

12.3.6.4. Market Revenue and Forecast, by End-User (2022-2032)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.3.7.2. Market Revenue and Forecast, by Offering (2022-2032)

12.3.7.3. Market Revenue and Forecast, by Application (2022-2032)

12.3.7.4. Market Revenue and Forecast, by End-User (2022-2032)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.3.8.2. Market Revenue and Forecast, by Offering (2022-2032)

12.3.8.3. Market Revenue and Forecast, by Application (2022-2032)

12.3.8.4. Market Revenue and Forecast, by End-User (2022-2032)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.4.2. Market Revenue and Forecast, by Offering (2022-2032)

12.4.3. Market Revenue and Forecast, by Application (2022-2032)

12.4.4. Market Revenue and Forecast, by End-User (2022-2032)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.4.5.2. Market Revenue and Forecast, by Offering (2022-2032)

12.4.5.3. Market Revenue and Forecast, by Application (2022-2032)

12.4.5.4. Market Revenue and Forecast, by End-User (2022-2032)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.4.6.2. Market Revenue and Forecast, by Offering (2022-2032)

12.4.6.3. Market Revenue and Forecast, by Application (2022-2032)

12.4.6.4. Market Revenue and Forecast, by End-User (2022-2032)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.4.7.2. Market Revenue and Forecast, by Offering (2022-2032)

12.4.7.3. Market Revenue and Forecast, by Application (2022-2032)

12.4.7.4. Market Revenue and Forecast, by End-User (2022-2032)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.4.8.2. Market Revenue and Forecast, by Offering (2022-2032)

12.4.8.3. Market Revenue and Forecast, by Application (2022-2032)

12.4.8.4. Market Revenue and Forecast, by End-User (2022-2032)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.5.2. Market Revenue and Forecast, by Offering (2022-2032)

12.5.3. Market Revenue and Forecast, by Application (2022-2032)

12.5.4. Market Revenue and Forecast, by End-User (2022-2032)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.5.5.2. Market Revenue and Forecast, by Offering (2022-2032)

12.5.5.3. Market Revenue and Forecast, by Application (2022-2032)

12.5.5.4. Market Revenue and Forecast, by End-User (2022-2032)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)

12.5.6.2. Market Revenue and Forecast, by Offering (2022-2032)

12.5.6.3. Market Revenue and Forecast, by Application (2022-2032)

12.5.6.4. Market Revenue and Forecast, by End-User (2022-2032)

Chapter 13. Company Profiles

13.1. Advanced Micro Devices

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Baidu, Inc.

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Atomwise, Inc.

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. International Business Machines Corporation

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Oracle

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Cisco

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Google LLC

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Intel Corporation

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Microsoft

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Lifegraph

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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