Abstract
Summary
Generative AI produces text & images, spanning blog posts, program code, poetry, and artwork. It uses complex machine learning models to predict the next word based on previous word sequences. In other words, it allows computers to abstract the underlying pattern related to the input, and then use that to generate similar content. In addition, generative AI produces a targeted summary after searching through various legal study sources. Therefore, countless hours of human investigation can be reduced through technology. Moreover, it generates code in-editor in real-time and offers whole functions, snippets, and even fully working modules, which is anticipated to help the industry expand in the approaching years. 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 are 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 a powerful tool that can be used to create new ideas, solve problems, and create new products. In addition, it can help organizations save money and time, increase efficiency, and enhance the quality of content generated.
The generative AI market has experienced significant growth due to the advancements in deep learning. Generative models are type of machine learning that uses AI, probability, and statistics to produce a computer-generated representation of a targeted variable calculated from prior observations, input, or datasets. These improvements make deep learning models more intelligent and capable, enabling them to perform complex tasks such as image recognition, language translation, and content generation more accurately and effectively. In addition, the rise of generative AI is driven by the desire to provide users and consumers with more personalized, engaging and relevant content and experiences, have further fueled the market growth. However, ethical and privacy concerns pose significant challenges and barriers to the development and adoption of generative AI technologies, with one major concern being the creation of false content. These realistic-looking images or videos can mislead people into believing that things never happened. This can lead to the spread and manipulation of disinformation, which is harmful to individuals and society. On the contrary, the demand for generative AI applications in industries such as entertainment, healthcare, engineering, finance, and defense is driven by the growing use of innovative solutions such as super-resolution, text-to-image conversion, and text-to-video conversion. Moreover, the growing application of artificial intelligence is a result of its increased computing power and ability to solve problems in different industrial sectors. Expanding into these industries will provide major lucrative opportunities for the growth of the generative AI market.
The generative AI market is segmented on the basis of component, technology, end user, and region. On the basis of component, the market is bifurcated into software and services. By technology, it is segmented into generative adversarial networks (GANs), transformer, variational autoencoder (VAE), diffusion networks, and retrieval augmented generation. On the basis of end user, it is classified into media & entertainment, BFSI, IT & telecom, healthcare, automotive & transportation, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the generative AI market such as Adobe, Inc., Amazon Web Services, Inc., D-ID, Genie AI Ltd., Google LLC, IBM Corporation, Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai and Synthesia. These players have adopted various strategies to increase their market penetration and strengthen their position in the generative AI market.
Key Benefits for Stakeholders
●The study provides in-depth analysis of the global generative AI market along with the current & future trends to illustrate the imminent investment pockets.
●Information about key drivers, restrains, & opportunities and their impact analysis on the global generative AI market size are provided in the report.
●Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
●The quantitative analysis of the global generative AI market from 2022 to 2032 is provided to determine the market potential.
Additional benefits you will get with this purchase are:
● Quarterly Update and* (only available with a corporate license, on listed price)
● 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
● Free Upcoming Version on the Purchase of Five and Enterprise User License.
● 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 20% is equivalent to 3 working days of free work, applicable once)
● Free data Pack on the Five and Enterprise User License. (Excel version of the report)
● Free Updated report if the report is 6-12 months old or older.
● 24-hour priority response*
● Free Industry updates and white papers.
Possible Customization with this report (with additional cost and timeline talk to the sales executive to know more)
● Investment Opportunities
● Market share analysis of players by products/segments
● Regulatory Guidelines
● Additional company profiles with specific to client's interest
● Additional country or region analysis- market size and forecast
● Market share analysis of players at global/region/country level
● SWOT Analysis
Key Market Segments
By Component
● Software
● Service
By Technology
● Generative Adversarial Networks (GANs)
● Transformer
● Variational Autoencoder (VAE)
● Diffusion Networks
● Retrieval Augmented Generation
By End User
● Media and Entertainment
● BFSI
● IT and Telecom
● Healthcare
● Automotive and Transportation
● Others
By Region
● North America
○ U.S.
○ Canada
● Europe
○ UK
○ Germany
○ France
○ Italy
○ Spain
○ Rest of Europe
● Asia-Pacific
○ China
○ Japan
○ India
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa
● Key Market Players
○ Adobe.
○ Amazon Web Services, Inc.
○ D-ID
○ Genie AI Ltd.
○ Google LLC
○ IBM Corporation
○ Microsoft Corporation
○ MOSTLY AI Inc.
○ Rephrase.ai
○ Synthesia
Table of Contents
1 INTRODUCTION
1.1 Report description
1.2 Key market segments
1.3 Key benefits to the stakeholders
1.4 Research Methodology
1.4.1 Primary research
1.4.2 Secondary research
1.4.3 Analyst tools and models
2 EXECUTIVE SUMMARY
2.1 CXO Perspective
3 MARKET OVERVIEW
3.1 Market definition and scope
3.2 Key findings
3.2.1 Top impacting factors
3.2.2 Top investment pockets
3.3 Porter’s five forces analysis
3.3.1 High to moderate bargaining power of suppliers
3.3.2 High to moderate threat of new entrants
3.3.3 Moderate to high threat of substitutes
3.3.4 High to moderate intensity of rivalry
3.3.5 High o moderate bargaining power of buyers
3.4 Market dynamics
3.4.1 Drivers
- 3.4.1.1 Advancements in deep learning
- 3.4.1.2 Growing demand for AI-generated content
- 3.4.1.3 Personalization and customization needs
3.4.2 Restraints
- 3.4.2.1 Ethical and privacy concerns
- 3.4.2.2 High computational complexity
3.4.3 Opportunities
- 3.4.3.1 Integration of generative AI in industry-specific applications
3.5 COVID-19 Impact Analysis on the market
4 GENERATIVE AI MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Software
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market share analysis by country
4.3 Service
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market share analysis by country
5 GENERATIVE AI MARKET, BY TECHNOLOGY
5.1 Overview
5.1.1 Market size and forecast
5.2 Generative Adversarial Networks (GANs)
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market share analysis by country
5.3 Transformer
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market share analysis by country
5.4 Variational Autoencoder (VAE)
5.4.1 Key market trends, growth factors and opportunities
5.4.2 Market size and forecast, by region
5.4.3 Market share analysis by country
5.5 Diffusion Networks
5.5.1 Key market trends, growth factors and opportunities
5.5.2 Market size and forecast, by region
5.5.3 Market share analysis by country
5.6 Retrieval Augmented Generation
5.6.1 Key market trends, growth factors and opportunities
5.6.2 Market size and forecast, by region
5.6.3 Market share analysis by country
6 GENERATIVE AI MARKET, BY END USER
6.1 Overview
6.1.1 Market size and forecast
6.2 Media and Entertainment
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market share analysis by country
6.3 BFSI
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market share analysis by country
6.4 IT and Telecom
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market share analysis by country
6.5 Healthcare
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market share analysis by country
6.6 Automotive and Transportation
6.6.1 Key market trends, growth factors and opportunities
6.6.2 Market size and forecast, by region
6.6.3 Market share analysis by country
6.7 Others
6.7.1 Key market trends, growth factors and opportunities
6.7.2 Market size and forecast, by region
6.7.3 Market share analysis by country
7 GENERATIVE AI MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast By Region
7.2 North America
7.2.1 Key trends and opportunities
7.2.2 Market size and forecast, by Component
7.2.3 Market size and forecast, by Technology
7.2.4 Market size and forecast, by End User
7.2.5 Market size and forecast, by country
- 7.2.5.1 U.S
- 7.2.5.1.1 Key market trends, growth factors and opportunities
- 7.2.5.1.2 Market size and forecast, by Component
- 7.2.5.1.3 Market size and forecast, by Technology
- 7.2.5.1.4 Market size and forecast, by End User
- 7.2.5.2 Canada
- 7.2.5.2.1 Key market trends, growth factors and opportunities
- 7.2.5.2.2 Market size and forecast, by Component
- 7.2.5.2.3 Market size and forecast, by Technology
- 7.2.5.2.4 Market size and forecast, by End User
- 7.2.5.1 U.S
7.3 Europe
7.3.1 Key trends and opportunities
7.3.2 Market size and forecast, by Component
7.3.3 Market size and forecast, by Technology
7.3.4 Market size and forecast, by End User
7.3.5 Market size and forecast, by country
- 7.3.5.1 UK
- 7.3.5.1.1 Key market trends, growth factors and opportunities
- 7.3.5.1.2 Market size and forecast, by Component
- 7.3.5.1.3 Market size and forecast, by Technology
- 7.3.5.1.4 Market size and forecast, by End User
- 7.3.5.2 Germany
- 7.3.5.2.1 Key market trends, growth factors and opportunities
- 7.3.5.2.2 Market size and forecast, by Component
- 7.3.5.2.3 Market size and forecast, by Technology
- 7.3.5.2.4 Market size and forecast, by End User
- 7.3.5.3 France
- 7.3.5.3.1 Key market trends, growth factors and opportunities
- 7.3.5.3.2 Market size and forecast, by Component
- 7.3.5.3.3 Market size and forecast, by Technology
- 7.3.5.3.4 Market size and forecast, by End User
- 7.3.5.4 Italy
- 7.3.5.4.1 Key market trends, growth factors and opportunities
- 7.3.5.4.2 Market size and forecast, by Component
- 7.3.5.4.3 Market size and forecast, by Technology
- 7.3.5.4.4 Market size and forecast, by End User
- 7.3.5.5 Spain
- 7.3.5.5.1 Key market trends, growth factors and opportunities
- 7.3.5.5.2 Market size and forecast, by Component
- 7.3.5.5.3 Market size and forecast, by Technology
- 7.3.5.5.4 Market size and forecast, by End User
- 7.3.5.6 Rest of Europe
- 7.3.5.6.1 Key market trends, growth factors and opportunities
- 7.3.5.6.2 Market size and forecast, by Component
- 7.3.5.6.3 Market size and forecast, by Technology
- 7.3.5.6.4 Market size and forecast, by End User
- 7.3.5.1 UK
7.4 Asia-Pacific
7.4.1 Key trends and opportunities
7.4.2 Market size and forecast, by Component
7.4.3 Market size and forecast, by Technology
7.4.4 Market size and forecast, by End User
7.4.5 Market size and forecast, by country
- 7.4.5.1 China
- 7.4.5.1.1 Key market trends, growth factors and opportunities
- 7.4.5.1.2 Market size and forecast, by Component
- 7.4.5.1.3 Market size and forecast, by Technology
- 7.4.5.1.4 Market size and forecast, by End User
- 7.4.5.2 Japan
- 7.4.5.2.1 Key market trends, growth factors and opportunities
- 7.4.5.2.2 Market size and forecast, by Component
- 7.4.5.2.3 Market size and forecast, by Technology
- 7.4.5.2.4 Market size and forecast, by End User
- 7.4.5.3 India
- 7.4.5.3.1 Key market trends, growth factors and opportunities
- 7.4.5.3.2 Market size and forecast, by Component
- 7.4.5.3.3 Market size and forecast, by Technology
- 7.4.5.3.4 Market size and forecast, by End User
- 7.4.5.4 Australia
- 7.4.5.4.1 Key market trends, growth factors and opportunities
- 7.4.5.4.2 Market size and forecast, by Component
- 7.4.5.4.3 Market size and forecast, by Technology
- 7.4.5.4.4 Market size and forecast, by End User
- 7.4.5.5 South Korea
- 7.4.5.5.1 Key market trends, growth factors and opportunities
- 7.4.5.5.2 Market size and forecast, by Component
- 7.4.5.5.3 Market size and forecast, by Technology
- 7.4.5.5.4 Market size and forecast, by End User
- 7.4.5.6 Rest of Asia-Pacific
- 7.4.5.6.1 Key market trends, growth factors and opportunities
- 7.4.5.6.2 Market size and forecast, by Component
- 7.4.5.6.3 Market size and forecast, by Technology
- 7.4.5.6.4 Market size and forecast, by End User
- 7.4.5.1 China
7.5 LAMEA
7.5.1 Key trends and opportunities
7.5.2 Market size and forecast, by Component
7.5.3 Market size and forecast, by Technology
7.5.4 Market size and forecast, by End User
7.5.5 Market size and forecast, by country
- 7.5.5.1 Latin America
- 7.5.5.1.1 Key market trends, growth factors and opportunities
- 7.5.5.1.2 Market size and forecast, by Component
- 7.5.5.1.3 Market size and forecast, by Technology
- 7.5.5.1.4 Market size and forecast, by End User
- 7.5.5.2 Middle East
- 7.5.5.2.1 Key market trends, growth factors and opportunities
- 7.5.5.2.2 Market size and forecast, by Component
- 7.5.5.2.3 Market size and forecast, by Technology
- 7.5.5.2.4 Market size and forecast, by End User
- 7.5.5.3 Africa
- 7.5.5.3.1 Key market trends, growth factors and opportunities
- 7.5.5.3.2 Market size and forecast, by Component
- 7.5.5.3.3 Market size and forecast, by Technology
- 7.5.5.3.4 Market size and forecast, by End User
- 7.5.5.1 Latin America
8 COMPETITIVE LANDSCAPE
8.1 Introduction
8.2 Top winning strategies
8.3 Product Mapping of Top 10 Player
8.4 Competitive Dashboard
8.5 Competitive Heatmap
8.6 Top player positioning, 2022
9 COMPANY PROFILES
9.1 IBM Corporation
9.1.1 Company overview
9.1.2 Key Executives
9.1.3 Company snapshot
9.1.4 Operating business segments
9.1.5 Product portfolio
9.1.6 Business performance
9.1.7 Key strategic moves and developments
9.2 Genie AI Ltd
9.2.1 Company overview
9.2.2 Key Executives
9.2.3 Company snapshot
9.2.4 Operating business segments
9.2.5 Product portfolio
9.2.6 Key strategic moves and developments
9.3 MOSTLY AI Inc
9.3.1 Company overview
9.3.2 Key Executives
9.3.3 Company snapshot
9.3.4 Operating business segments
9.3.5 Product portfolio
9.3.6 Key strategic moves and developments
9.4 Google LLC
9.4.1 Company overview
9.4.2 Key Executives
9.4.3 Company snapshot
9.4.4 Operating business segments
9.4.5 Product portfolio
9.4.6 Business performance
9.4.7 Key strategic moves and developments
9.5 D-ID
9.5.1 Company overview
9.5.2 Key Executives
9.5.3 Company snapshot
9.5.4 Operating business segments
9.5.5 Product portfolio
9.5.6 Key strategic moves and developments
9.6 Rephrase.ai
9.6.1 Company overview
9.6.2 Key Executives
9.6.3 Company snapshot
9.6.4 Operating business segments
9.6.5 Product portfolio
9.6.6 Key strategic moves and developments
9.7 Amazon Web Services, Inc
9.7.1 Company overview
9.7.2 Key Executives
9.7.3 Company snapshot
9.7.4 Operating business segments
9.7.5 Product portfolio
9.7.6 Business performance
9.7.7 Key strategic moves and developments
9.8 Microsoft Corporation
9.8.1 Company overview
9.8.2 Key Executives
9.8.3 Company snapshot
9.8.4 Operating business segments
9.8.5 Product portfolio
9.8.6 Business performance
9.8.7 Key strategic moves and developments
9.9 Adobe
9.9.1 Company overview
9.9.2 Key Executives
9.9.3 Company snapshot
9.9.4 Operating business segments
9.9.5 Product portfolio
9.9.6 Business performance
9.9.7 Key strategic moves and developments
9.10 Synthesia
9.10.1 Company overview
9.10.2 Key Executives
9.10.3 Company snapshot
9.10.4 Operating business segments
9.10.5 Product portfolio
9.10.6 Key strategic moves and developments