Global Generative AI Engineering Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR082412220

Publication Date:

August 20, 2024

Pages:

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

Generative AI Engineering is a field that involves the design, development, and application of artificial intelligence models that can generate new content, such as text, images, music, and other forms of data. This involves various techniques and tools that enable AI systems to create new and original outputs based on learned patterns and inputs.
The global Generative AI Engineering market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.
This report is a detailed and comprehensive analysis for global Generative AI Engineering market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global Generative AI Engineering market size and forecasts, in consumption value ($ Million), 2019-2030
Global Generative AI Engineering market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global Generative AI Engineering market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global Generative AI Engineering market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Generative AI Engineering
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Generative AI Engineering market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include OpenAI, Google DeepMind, NVIDIA, Adobe, IBM, Microsoft, Facebook AI Research (FAIR), Amazon Web Services (AWS), Baidu, Huawei, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Generative AI Engineering market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segmentation
Generative AI Engineering market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Text Generation Model
Image Generation Model
Audio Generation Model
Multimodal Generative Models
Market segment by Application
SMEs
Large Enterprises
Market segment by players, this report covers
OpenAI
Google DeepMind
NVIDIA
Adobe
IBM
Microsoft
Facebook AI Research (FAIR)
Amazon Web Services (AWS)
Baidu
Huawei
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Generative AI Engineering product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Generative AI Engineering, with revenue, gross margin, and global market share of Generative AI Engineering from 2019 to 2024.
Chapter 3, the Generative AI Engineering competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Generative AI Engineering market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Generative AI Engineering.
Chapter 13, to describe Generative AI Engineering research findings and conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Generative AI Engineering by Type
1.3.1 Overview: Global Generative AI Engineering Market Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Generative AI Engineering Consumption Value Market Share by Type in 2023
1.3.3 Text Generation Model
1.3.4 Image Generation Model
1.3.5 Audio Generation Model
1.3.6 Multimodal Generative Models
1.4 Global Generative AI Engineering Market by Application
1.4.1 Overview: Global Generative AI Engineering Market Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 SMEs
1.4.3 Large Enterprises
1.5 Global Generative AI Engineering Market Size & Forecast
1.6 Global Generative AI Engineering Market Size and Forecast by Region
1.6.1 Global Generative AI Engineering Market Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Generative AI Engineering Market Size by Region, (2019-2030)
1.6.3 North America Generative AI Engineering Market Size and Prospect (2019-2030)
1.6.4 Europe Generative AI Engineering Market Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Generative AI Engineering Market Size and Prospect (2019-2030)
1.6.6 South America Generative AI Engineering Market Size and Prospect (2019-2030)
1.6.7 Middle East & Africa Generative AI Engineering Market Size and Prospect (2019-2030)
2 Company Profiles
2.1 OpenAI
2.1.1 OpenAI Details
2.1.2 OpenAI Major Business
2.1.3 OpenAI Generative AI Engineering Product and Solutions
2.1.4 OpenAI Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 OpenAI Recent Developments and Future Plans
2.2 Google DeepMind
2.2.1 Google DeepMind Details
2.2.2 Google DeepMind Major Business
2.2.3 Google DeepMind Generative AI Engineering Product and Solutions
2.2.4 Google DeepMind Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 Google DeepMind Recent Developments and Future Plans
2.3 NVIDIA
2.3.1 NVIDIA Details
2.3.2 NVIDIA Major Business
2.3.3 NVIDIA Generative AI Engineering Product and Solutions
2.3.4 NVIDIA Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 NVIDIA Recent Developments and Future Plans
2.4 Adobe
2.4.1 Adobe Details
2.4.2 Adobe Major Business
2.4.3 Adobe Generative AI Engineering Product and Solutions
2.4.4 Adobe Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 Adobe Recent Developments and Future Plans
2.5 IBM
2.5.1 IBM Details
2.5.2 IBM Major Business
2.5.3 IBM Generative AI Engineering Product and Solutions
2.5.4 IBM Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 IBM Recent Developments and Future Plans
2.6 Microsoft
2.6.1 Microsoft Details
2.6.2 Microsoft Major Business
2.6.3 Microsoft Generative AI Engineering Product and Solutions
2.6.4 Microsoft Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 Microsoft Recent Developments and Future Plans
2.7 Facebook AI Research (FAIR)
2.7.1 Facebook AI Research (FAIR) Details
2.7.2 Facebook AI Research (FAIR) Major Business
2.7.3 Facebook AI Research (FAIR) Generative AI Engineering Product and Solutions
2.7.4 Facebook AI Research (FAIR) Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.7.5 Facebook AI Research (FAIR) Recent Developments and Future Plans
2.8 Amazon Web Services (AWS)
2.8.1 Amazon Web Services (AWS) Details
2.8.2 Amazon Web Services (AWS) Major Business
2.8.3 Amazon Web Services (AWS) Generative AI Engineering Product and Solutions
2.8.4 Amazon Web Services (AWS) Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.8.5 Amazon Web Services (AWS) Recent Developments and Future Plans
2.9 Baidu
2.9.1 Baidu Details
2.9.2 Baidu Major Business
2.9.3 Baidu Generative AI Engineering Product and Solutions
2.9.4 Baidu Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.9.5 Baidu Recent Developments and Future Plans
2.10 Huawei
2.10.1 Huawei Details
2.10.2 Huawei Major Business
2.10.3 Huawei Generative AI Engineering Product and Solutions
2.10.4 Huawei Generative AI Engineering Revenue, Gross Margin and Market Share (2019-2024)
2.10.5 Huawei Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Generative AI Engineering Revenue and Share by Players (2019-2024)
3.2 Market Share Analysis (2023)
3.2.1 Market Share of Generative AI Engineering by Company Revenue
3.2.2 Top 3 Generative AI Engineering Players Market Share in 2023
3.2.3 Top 6 Generative AI Engineering Players Market Share in 2023
3.3 Generative AI Engineering Market: Overall Company Footprint Analysis
3.3.1 Generative AI Engineering Market: Region Footprint
3.3.2 Generative AI Engineering Market: Company Product Type Footprint
3.3.3 Generative AI Engineering Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Generative AI Engineering Consumption Value and Market Share by Type (2019-2024)
4.2 Global Generative AI Engineering Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
5.1 Global Generative AI Engineering Consumption Value Market Share by Application (2019-2024)
5.2 Global Generative AI Engineering Market Forecast by Application (2025-2030)
6 North America
6.1 North America Generative AI Engineering Consumption Value by Type (2019-2030)
6.2 North America Generative AI Engineering Market Size by Application (2019-2030)
6.3 North America Generative AI Engineering Market Size by Country
6.3.1 North America Generative AI Engineering Consumption Value by Country (2019-2030)
6.3.2 United States Generative AI Engineering Market Size and Forecast (2019-2030)
6.3.3 Canada Generative AI Engineering Market Size and Forecast (2019-2030)
6.3.4 Mexico Generative AI Engineering Market Size and Forecast (2019-2030)
7 Europe
7.1 Europe Generative AI Engineering Consumption Value by Type (2019-2030)
7.2 Europe Generative AI Engineering Consumption Value by Application (2019-2030)
7.3 Europe Generative AI Engineering Market Size by Country
7.3.1 Europe Generative AI Engineering Consumption Value by Country (2019-2030)
7.3.2 Germany Generative AI Engineering Market Size and Forecast (2019-2030)
7.3.3 France Generative AI Engineering Market Size and Forecast (2019-2030)
7.3.4 United Kingdom Generative AI Engineering Market Size and Forecast (2019-2030)
7.3.5 Russia Generative AI Engineering Market Size and Forecast (2019-2030)
7.3.6 Italy Generative AI Engineering Market Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Generative AI Engineering Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Generative AI Engineering Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Generative AI Engineering Market Size by Region
8.3.1 Asia-Pacific Generative AI Engineering Consumption Value by Region (2019-2030)
8.3.2 China Generative AI Engineering Market Size and Forecast (2019-2030)
8.3.3 Japan Generative AI Engineering Market Size and Forecast (2019-2030)
8.3.4 South Korea Generative AI Engineering Market Size and Forecast (2019-2030)
8.3.5 India Generative AI Engineering Market Size and Forecast (2019-2030)
8.3.6 Southeast Asia Generative AI Engineering Market Size and Forecast (2019-2030)
8.3.7 Australia Generative AI Engineering Market Size and Forecast (2019-2030)
9 South America
9.1 South America Generative AI Engineering Consumption Value by Type (2019-2030)
9.2 South America Generative AI Engineering Consumption Value by Application (2019-2030)
9.3 South America Generative AI Engineering Market Size by Country
9.3.1 South America Generative AI Engineering Consumption Value by Country (2019-2030)
9.3.2 Brazil Generative AI Engineering Market Size and Forecast (2019-2030)
9.3.3 Argentina Generative AI Engineering Market Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Generative AI Engineering Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Generative AI Engineering Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Generative AI Engineering Market Size by Country
10.3.1 Middle East & Africa Generative AI Engineering Consumption Value by Country (2019-2030)
10.3.2 Turkey Generative AI Engineering Market Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Generative AI Engineering Market Size and Forecast (2019-2030)
10.3.4 UAE Generative AI Engineering Market Size and Forecast (2019-2030)
11 Market Dynamics
11.1 Generative AI Engineering Market Drivers
11.2 Generative AI Engineering Market Restraints
11.3 Generative AI Engineering Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Generative AI Engineering Industry Chain
12.2 Generative AI Engineering Upstream Analysis
12.3 Generative AI Engineering Midstream Analysis
12.4 Generative AI Engineering Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

OpenAI
Google DeepMind
NVIDIA
Adobe
IBM
Microsoft
Facebook AI Research (FAIR)
Amazon Web Services (AWS)
Baidu
Huawei

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