Global Generative AI for Business Market Research Report 2024

Publication ID:

PB502240160

Publication Date:

March 5, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Generative AI for business refers to the application of generative artificial intelligence technologies in various business processes to create, simulate, or generate content, data, or solutions. Unlike traditional AI systems that rely on predefined rules and patterns, generative AI has the capability to autonomously produce new and unique outputs based on the patterns it learns from existing data. In a business context, generative AI can be utilized for tasks such as content creation, data synthesis, product design, and problem-solving. It often involves advanced neural network architectures, such as Generative Adversarial Networks (GANs) or recurrent neural networks, enabling the model to generate realistic and contextually relevant outputs. This technology holds the potential to enhance creativity, automate certain decision-making processes, and streamline innovation within businesses by providing novel solutions and insights. As generative AI continues to evolve, its applications in business settings are expanding, offering opportunities for improved efficiency, creativity, and strategic decision-making.
The global Generative AI for Business market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
The market for Generative AI in business has been witnessing significant growth, driven by various factors. Generative AI, encompassing technologies like GANs (Generative Adversarial Networks) and language models, is increasingly being adopted by businesses for creative content generation, data synthesis, and process optimization. The ability of Generative AI to generate realistic content, automate tasks, and facilitate decision-making processes has fueled its integration across diverse industries. The future development trends of Generative AI for business are expected to be shaped by ongoing advancements in AI research and technology. Continued improvements in natural language processing (NLP) and computer vision will likely lead to more sophisticated and context-aware generative models. Additionally, increased focus on ethical AI practices and responsible AI deployment may influence the development of Generative AI solutions that prioritize fairness, accountability, and transparency. However, challenges such as data privacy concerns, ethical considerations, and the potential for bias in AI-generated content remain inhibitors to widespread adoption. Businesses will need to navigate these challenges, ensuring that Generative AI applications align with ethical standards and regulatory requirements. Overall, the future trajectory of Generative AI for business is likely to be dynamic, with ongoing innovation and a growing emphasis on responsible AI practices shaping its market evolution.
This report aims to provide a comprehensive presentation of the global market for Generative AI for Business, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Generative AI for Business.
Report Scope
The Generative AI for Business market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Generative AI for Business market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI for Business companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Google
OpenAI
Meta
Baidu
Microsoft
Stability AI
IBM
NVIDIA
Adobe
Blue Yonder
Segment by Type
Language Generation
Audio Generation
Visual Generation
Synthetic Data Generation
Segment by Application
Automotive
Natural Sciences
Entertainment
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI for Business companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Generative AI for Business Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Language Generation
1.2.3 Audio Generation
1.2.4 Visual Generation
1.2.5 Synthetic Data Generation
1.3 Market by Application
1.3.1 Global Generative AI for Business Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automotive
1.3.3 Natural Sciences
1.3.4 Entertainment
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI for Business Market Perspective (2019-2030)
2.2 Generative AI for Business Growth Trends by Region
2.2.1 Global Generative AI for Business Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Generative AI for Business Historic Market Size by Region (2019-2024)
2.2.3 Generative AI for Business Forecasted Market Size by Region (2025-2030)
2.3 Generative AI for Business Market Dynamics
2.3.1 Generative AI for Business Industry Trends
2.3.2 Generative AI for Business Market Drivers
2.3.3 Generative AI for Business Market Challenges
2.3.4 Generative AI for Business Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI for Business Players by Revenue
3.1.1 Global Top Generative AI for Business Players by Revenue (2019-2024)
3.1.2 Global Generative AI for Business Revenue Market Share by Players (2019-2024)
3.2 Global Generative AI for Business Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Generative AI for Business Revenue
3.4 Global Generative AI for Business Market Concentration Ratio
3.4.1 Global Generative AI for Business Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI for Business Revenue in 2023
3.5 Generative AI for Business Key Players Head office and Area Served
3.6 Key Players Generative AI for Business Product Solution and Service
3.7 Date of Enter into Generative AI for Business Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI for Business Breakdown Data by Type
4.1 Global Generative AI for Business Historic Market Size by Type (2019-2024)
4.2 Global Generative AI for Business Forecasted Market Size by Type (2025-2030)
5 Generative AI for Business Breakdown Data by Application
5.1 Global Generative AI for Business Historic Market Size by Application (2019-2024)
5.2 Global Generative AI for Business Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Generative AI for Business Market Size (2019-2030)
6.2 North America Generative AI for Business Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Generative AI for Business Market Size by Country (2019-2024)
6.4 North America Generative AI for Business Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI for Business Market Size (2019-2030)
7.2 Europe Generative AI for Business Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Generative AI for Business Market Size by Country (2019-2024)
7.4 Europe Generative AI for Business Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Generative AI for Business Market Size (2019-2030)
8.2 Asia-Pacific Generative AI for Business Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Generative AI for Business Market Size by Region (2019-2024)
8.4 Asia-Pacific Generative AI for Business Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Generative AI for Business Market Size (2019-2030)
9.2 Latin America Generative AI for Business Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Generative AI for Business Market Size by Country (2019-2024)
9.4 Latin America Generative AI for Business Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI for Business Market Size (2019-2030)
10.2 Middle East & Africa Generative AI for Business Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Generative AI for Business Market Size by Country (2019-2024)
10.4 Middle East & Africa Generative AI for Business Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Generative AI for Business Introduction
11.1.4 Google Revenue in Generative AI for Business Business (2019-2024)
11.1.5 Google Recent Development
11.2 OpenAI
11.2.1 OpenAI Company Detail
11.2.2 OpenAI Business Overview
11.2.3 OpenAI Generative AI for Business Introduction
11.2.4 OpenAI Revenue in Generative AI for Business Business (2019-2024)
11.2.5 OpenAI Recent Development
11.3 Meta
11.3.1 Meta Company Detail
11.3.2 Meta Business Overview
11.3.3 Meta Generative AI for Business Introduction
11.3.4 Meta Revenue in Generative AI for Business Business (2019-2024)
11.3.5 Meta Recent Development
11.4 Baidu
11.4.1 Baidu Company Detail
11.4.2 Baidu Business Overview
11.4.3 Baidu Generative AI for Business Introduction
11.4.4 Baidu Revenue in Generative AI for Business Business (2019-2024)
11.4.5 Baidu Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Generative AI for Business Introduction
11.5.4 Microsoft Revenue in Generative AI for Business Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Stability AI
11.6.1 Stability AI Company Detail
11.6.2 Stability AI Business Overview
11.6.3 Stability AI Generative AI for Business Introduction
11.6.4 Stability AI Revenue in Generative AI for Business Business (2019-2024)
11.6.5 Stability AI Recent Development
11.7 IBM
11.7.1 IBM Company Detail
11.7.2 IBM Business Overview
11.7.3 IBM Generative AI for Business Introduction
11.7.4 IBM Revenue in Generative AI for Business Business (2019-2024)
11.7.5 IBM Recent Development
11.8 NVIDIA
11.8.1 NVIDIA Company Detail
11.8.2 NVIDIA Business Overview
11.8.3 NVIDIA Generative AI for Business Introduction
11.8.4 NVIDIA Revenue in Generative AI for Business Business (2019-2024)
11.8.5 NVIDIA Recent Development
11.9 Adobe
11.9.1 Adobe Company Detail
11.9.2 Adobe Business Overview
11.9.3 Adobe Generative AI for Business Introduction
11.9.4 Adobe Revenue in Generative AI for Business Business (2019-2024)
11.9.5 Adobe Recent Development
11.10 Blue Yonder
11.10.1 Blue Yonder Company Detail
11.10.2 Blue Yonder Business Overview
11.10.3 Blue Yonder Generative AI for Business Introduction
11.10.4 Blue Yonder Revenue in Generative AI for Business Business (2019-2024)
11.10.5 Blue Yonder Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Google
OpenAI
Meta
Baidu
Microsoft
Stability AI
IBM
NVIDIA
Adobe
Blue Yonder

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂