Generative AI Market, By Technology (Deep Learning, Machine Learning, and Natural Language Processing), By Deployment Mode (Cloud-based and On-premises), By Application (Content Creation, Chatbots and Virtual Assistants, Image and Video Generation, Music

Generative AI Market, By Technology (Deep Learning, Machine Learning, and Natural Language Processing), By Deployment Mode (Cloud-based and On-premises), By Application (Content Creation, Chatbots and Virtual Assistants, Image and Video Generation, Music Generation, and Others), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

Generative AI refers to artificial intelligence systems that are created to generate new content such as images, videos, speech, text, music, and others based on sample training data. Increasing demand for AI generation in domains such as digital art, deepfakes, natural language generation, programming and research can drive the global generative AI market growth. Growing investments and initiatives pertaining to AI technology innovations across various sectors can drive the market growth. However, concerns regarding deepfakes and manipulation along with technical limitations can pose challenges for wider adoption of generative AI in some applications. Advancements in deep learning algorithms coupled with rising data volumes can offer new growth opportunities for generative AI technology.

Market Dynamics:

Global generative AI market growth is driven by growing investment and initiative towards AI innovation across different sectors. Increasing social media usage and rising demand for digital art generation have stimulated investments in generative AI startups. However, technical challenges pertaining to complex deep learning models and data requirements can hamper the market growth. Deepfake concerns and risks of AI manipulation if misused can impede broader commercialization of generative AI. Continued deep learning breakthroughs expand generative AI applications in novel areas. Growing ability to synthesize human-level texts, images and videos provide new growth opportunities. Use of generative modeling for drug discovery, quantum computing research and enhancing creativity are opening up new vistas for generative AI. Such advancing applications coupled with rising investments can present lucrative prospects over the forecast period.

Key features of the study:

This report provides in-depth analysis of the global generative AI market, and provides market size (US$ Billion) and compound annual growth rate (CAGR%) for the forecast period (2024–2031), considering 2023 as the base year

It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market

This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players

It profiles key players in the global generative AI market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies

Key companies covered as a part of this study include Abacus.AI, Accenture, Adobe, Adept, AI21 Labs, Amazon Web Services (AWS), Anthropic, Character.ai, Cohere, Google, Hugging Face, IBM, Insilico Medicine, Microsoft, and NVIDIA

Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics

Global generative AI market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global generative AI market

Detailed Segmentation-

By Technology Insights (Revenue, USD Bn, 2019 - 2031)

Deep Learning

Machine Learning

Natural Language Processing (NLP)

By Deployment Mode Insights (Revenue, USD Bn, 2019 - 2031)

Cloud-based

On-premises

By Application Insights (Revenue, USD Bn, 2019 - 2031)

Content Creation

Chatbots and Virtual Assistants

Image and Video Generation

Music Generation

Others

Regional Insights (Revenue, USD Bn, 2019 - 2031)

North America

U.S.

Canada

Latin America

Brazil

Argentina

Mexico

Rest of Latin America

Europe

Germany

U.K.

Spain

France

Italy

Russia

Rest of Europe

Asia Pacific

China

India

Japan

Australia

South Korea

ASEAN

Rest of Asia Pacific

Middle East

GCC Countries

Israel

Rest of Middle East

Africa

South Africa

North Africa

Central Africa

Key Players Insights

Abacus.AI

Accenture

Adobe

Adept

AI21 Labs

Amazon Web Services (AWS)

Anthropic

Character.ai

Cohere

Google

Hugging Face

IBM

Insilico Medicine

Microsoft

NVIDIA