Generative AI Market (By Component: Software and Services; By Technology: Generative Adversarial Networks (GANs), Transformers; By End-use) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global generative AI market was surpassed at USD 10.77 billion in 2022 and is expected to hit around USD 210.52 billion by 2032, growing at a CAGR of 34.62% from 2023 to 2032.

Generative AI Market Size 2023 to 2032

Key Pointers

  • The software segment accounted for the largest revenue share of 65.04% in 2022 and is expected to continue to dominate the market over the forecast period.
  • The service segment is anticipated to witness the fastest growth rate of 35.54% during the forecast period.
  • The diffusion networks segment is expected to witness the fastest growth rate of 37.26% during the forecast period.
  • The media & entertainment segment accounted for the largest revenue of USD 1,527.65 million in 2022 and is projected to grow at a CAGR of 33.58% over the forecast period.
  • The BFSI segment is expected to witness the fastest growth rate of 36.4% during the forecast period.
  • North America dominated the market with a share of 40.24% in 2022 and is projected to grow at a CAGR of 34.78% over the forecast period.
  • Asia Pacific is anticipated to grow at the fastest CAGR of 35.66% during the forecast period.

Report Scope of the Generative AI Market

Report Coverage Details
Market Size in 2022 USD 10.77 billion
Revenue Forecast by 2032 USD 210.52 billion
Growth rate from 2023 to 2032 CAGR of 34.62%
Base Year 2022
Forecast Period 2023 to 2032
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Covered Synthesia; MOSTLY AI Inc.; Genie AI Ltd; Amazon Web Services, Inc.; IBM; Google LLC; Microsoft; Adobe, Rephrase.ai; D-ID

 

Factors such as the rising applications of technologies such as super-resolution, text-to-image conversion, & text-to-video conversion and growing demand to modernize workflow across industries are driving the demand for generative AI applications among industries. The COVID-19 pandemic had a positive impact on the generative AI market as businesses shifted to the online work model, increasing digitalization across industries. As per IBM’s Global AI Adoption Index 2022 report, over 53% of IT professionals commented that they have accelerated the roll-out of Artificial Intelligence (AI) in the last 24 months as a part of their response to the pandemic Moreover, during the pandemic advance diagnosing tools were developed using Artificial Intelligence (AI) to detect the COVID-19 virus and various other imaging systems.

Generative AI makes use of unsupervised learning algorithms for spam detection, image compression, and preprocessing data stage such as removing noise from visual data to improve picture quality. Moreover, supervised learning algorithms is used for medical imaging and image classification. Furthermore, it has applications in various industries such as BFSI, healthcare, automotive & transportation, IT & telecommunications, media & entertainment, and others.

Generative AI is at a developing stage which will require a skilled workforce and high investment in implementation for development. According to IBM’s global AI adoption index 2022 report, 34% of respondents believed that a lack of Artificial Intelligence (AI) skills, expertise, or knowledge was restricting the adoption of Artificial Intelligence (AI) for industries.  Hence, the unavailability of a skilled workforce and the high implementation costs are expected to slow down the pace of development of the market.

Major market players such as U.S.-based Microsoft and Apple Inc. are progressively investing in Research & Development (R&D) activities. Moreover, these companies are researching technologies such as Artificial Intelligence (AI) and Machine Learning (ML). For instance, in May 2020, World Wide Technology, a technology service provider started an initiative that is focused on artificial intelligence and machine learning and has some of the highest experiments and work programmed on generative AI. As an increasing number of companies continue to develop and experiment in the field and use generative AI in their products, the market is expected to witness promising growth opportunities.

Regional Insights

North America dominated the market with a share of 40.25% in 2022 and is projected to grow at a CAGR of 34.77% over the forecast period due to factors such as rising pseudo-imagination & medical care and increasing banking frauds. Also, the presence of prominent market players such as U.S.-based Meta, Microsoft, and Google LLC, developed technology organizations, and the presence of experts are likely to drive the growth generative AI market in the region.

Asia Pacific is anticipated to grow at the fastest CAGR of 35.61% during the forecast period. Increasing government initiatives in Artificial Intelligence (AI) in Asia Pacific and the increasing adoption of AI applications are driving the growth of generative AI in the region. 

Generative AI Market Segmentations:

By Component By Technology By End-use

Software

Services

Generative Adversarial Networks (GANs)

Transformers

Variational Auto-encoders

Diffusion Networks

Media & Entertainment

BFSI

IT & Telecommunication

Healthcare

Automotive & Transportation

Others

Frequently Asked Questions

The global generative AI market size was reached at USD 10.77 billion in 2022 and it is projected to hit around USD 210.52 billion by 2032.

The global generative AI market is growing at a compound annual growth rate (CAGR) of 34.62% from 2023 to 2032.

The North America region has accounted for the largest generative AI market share in 2022.

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 Generative AI Market 

5.1. COVID-19 Landscape: Generative AI 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 Generative AI Market, By Component

8.1. Generative AI Market, by Component, 2023-2032

8.1.1 Software

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Generative AI Market, By Technology

9.1. Generative AI Market, by Technology, 2023-2032

9.1.1. Generative Adversarial Networks (GANs)

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Transformers

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Variational Auto-encoders

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Diffusion Networks

9.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Generative AI Market, By End-use 

10.1. Generative AI Market, by End-use, 2023-2032

10.1.1. Media & Entertainment

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. BFSI

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. IT & Telecommunication

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Healthcare

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Automotive & Transportation

10.1.5.1. Market Revenue and Forecast (2020-2032)

10.1.6. Others

10.1.6.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Generative AI Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.2. Market Revenue and Forecast, by Technology (2020-2032)

11.1.3. Market Revenue and Forecast, by End-use (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.1.4.3. Market Revenue and Forecast, by End-use (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.1.5.3. Market Revenue and Forecast, by End-use (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.3. Market Revenue and Forecast, by End-use (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.4.3. Market Revenue and Forecast, by End-use (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.5.3. Market Revenue and Forecast, by End-use (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.6.3. Market Revenue and Forecast, by End-use (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.7.3. Market Revenue and Forecast, by End-use (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.3. Market Revenue and Forecast, by End-use (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.4.3. Market Revenue and Forecast, by End-use (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.5.3. Market Revenue and Forecast, by End-use (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.6.3. Market Revenue and Forecast, by End-use (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.7.3. Market Revenue and Forecast, by End-use (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.3. Market Revenue and Forecast, by End-use (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.4.3. Market Revenue and Forecast, by End-use (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.5.3. Market Revenue and Forecast, by End-use (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.6.3. Market Revenue and Forecast, by End-use (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.7.3. Market Revenue and Forecast, by End-use (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.5.3. Market Revenue and Forecast, by End-use (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.5.4.3. Market Revenue and Forecast, by End-use (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.5.5.3. Market Revenue and Forecast, by End-use (2020-2032)

Chapter 12. Company Profiles

12.1. Synthesia

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. MOSTLY AI Inc.

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Genie AI Ltd

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Amazon Web Services, Inc.

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. IBM

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Google LLC

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Microsoft

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Adobe

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Rephrase.ai

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. D-ID

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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