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Service & Software Global Generative AI for Business Market 2024 by Company, Regions, Type and Application, Forecast to 2030

  • RnM4579516
    • |
  • 29 March, 2024
    • |
  • Global
    • |
  • 108 Pages
    • |
  • GIR (Global Info Research)
    • |
  • Service & Software

According to our (Global Info Research) latest study, the global Generative AI for Business market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
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 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.
The Global Info Research report includes an overview of the development of the Generative AI for Business industry chain, the market status of Automotive (Language Generation, Audio Generation), Natural Sciences (Language Generation, Audio Generation), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Generative AI for Business.
Regionally, the report analyzes the Generative AI for Business markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Generative AI for Business market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Generative AI for Business market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Generative AI for Business industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Language Generation, Audio Generation).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Generative AI for Business market.
Regional Analysis: The report involves examining the Generative AI for Business market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Generative AI for Business market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Generative AI for Business:
Company Analysis: Report covers individual Generative AI for Business players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Generative AI for Business This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Automotive, Natural Sciences).
Technology Analysis: Report covers specific technologies relevant to Generative AI for Business. It assesses the current state, advancements, and potential future developments in Generative AI for Business areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Generative AI for Business market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Generative AI for Business 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 in terms of value.
Market segment by Type
Language Generation
Audio Generation
Visual Generation
Synthetic Data Generation
Market segment by Application
Automotive
Natural Sciences
Entertainment
Others
Market segment by players, this report covers
Google
OpenAI
Meta
Baidu
Microsoft
Stability AI
IBM
NVIDIA
Adobe
Blue Yonder
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, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and 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 for Business product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Generative AI for Business, with revenue, gross margin and global market share of Generative AI for Business from 2019 to 2024.
Chapter 3, the Generative AI for Business 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 application, with consumption value and growth rate by Type, 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 for Business market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Generative AI for Business.
Chapter 13, to describe Generative AI for Business research findings and conclusion.


1 Market Overview

  • 1.1 Product Overview and Scope of Generative AI for Business
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of Generative AI for Business by Type
    • 1.3.1 Overview: Global Generative AI for Business Market Size by Type: 2019 Versus 2023 Versus 2030
    • 1.3.2 Global Generative AI for Business Consumption Value Market Share by Type in 2023
    • 1.3.3 Language Generation
    • 1.3.4 Audio Generation
    • 1.3.5 Visual Generation
    • 1.3.6 Synthetic Data Generation
  • 1.4 Global Generative AI for Business Market by Application
    • 1.4.1 Overview: Global Generative AI for Business Market Size by Application: 2019 Versus 2023 Versus 2030
    • 1.4.2 Automotive
    • 1.4.3 Natural Sciences
    • 1.4.4 Entertainment
    • 1.4.5 Others
  • 1.5 Global Generative AI for Business Market Size & Forecast
  • 1.6 Global Generative AI for Business Market Size and Forecast by Region
    • 1.6.1 Global Generative AI for Business Market Size by Region: 2019 VS 2023 VS 2030
    • 1.6.2 Global Generative AI for Business Market Size by Region, (2019-2030)
    • 1.6.3 North America Generative AI for Business Market Size and Prospect (2019-2030)
    • 1.6.4 Europe Generative AI for Business Market Size and Prospect (2019-2030)
    • 1.6.5 Asia-Pacific Generative AI for Business Market Size and Prospect (2019-2030)
    • 1.6.6 South America Generative AI for Business Market Size and Prospect (2019-2030)
    • 1.6.7 Middle East and Africa Generative AI for Business Market Size and Prospect (2019-2030)

2 Company Profiles

  • 2.1 Google
    • 2.1.1 Google Details
    • 2.1.2 Google Major Business
    • 2.1.3 Google Generative AI for Business Product and Solutions
    • 2.1.4 Google Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.1.5 Google Recent Developments and Future Plans
  • 2.2 OpenAI
    • 2.2.1 OpenAI Details
    • 2.2.2 OpenAI Major Business
    • 2.2.3 OpenAI Generative AI for Business Product and Solutions
    • 2.2.4 OpenAI Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.2.5 OpenAI Recent Developments and Future Plans
  • 2.3 Meta
    • 2.3.1 Meta Details
    • 2.3.2 Meta Major Business
    • 2.3.3 Meta Generative AI for Business Product and Solutions
    • 2.3.4 Meta Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.3.5 Meta Recent Developments and Future Plans
  • 2.4 Baidu
    • 2.4.1 Baidu Details
    • 2.4.2 Baidu Major Business
    • 2.4.3 Baidu Generative AI for Business Product and Solutions
    • 2.4.4 Baidu Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.4.5 Baidu Recent Developments and Future Plans
  • 2.5 Microsoft
    • 2.5.1 Microsoft Details
    • 2.5.2 Microsoft Major Business
    • 2.5.3 Microsoft Generative AI for Business Product and Solutions
    • 2.5.4 Microsoft Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.5.5 Microsoft Recent Developments and Future Plans
  • 2.6 Stability AI
    • 2.6.1 Stability AI Details
    • 2.6.2 Stability AI Major Business
    • 2.6.3 Stability AI Generative AI for Business Product and Solutions
    • 2.6.4 Stability AI Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.6.5 Stability AI Recent Developments and Future Plans
  • 2.7 IBM
    • 2.7.1 IBM Details
    • 2.7.2 IBM Major Business
    • 2.7.3 IBM Generative AI for Business Product and Solutions
    • 2.7.4 IBM Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.7.5 IBM Recent Developments and Future Plans
  • 2.8 NVIDIA
    • 2.8.1 NVIDIA Details
    • 2.8.2 NVIDIA Major Business
    • 2.8.3 NVIDIA Generative AI for Business Product and Solutions
    • 2.8.4 NVIDIA Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.8.5 NVIDIA Recent Developments and Future Plans
  • 2.9 Adobe
    • 2.9.1 Adobe Details
    • 2.9.2 Adobe Major Business
    • 2.9.3 Adobe Generative AI for Business Product and Solutions
    • 2.9.4 Adobe Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.9.5 Adobe Recent Developments and Future Plans
  • 2.10 Blue Yonder
    • 2.10.1 Blue Yonder Details
    • 2.10.2 Blue Yonder Major Business
    • 2.10.3 Blue Yonder Generative AI for Business Product and Solutions
    • 2.10.4 Blue Yonder Generative AI for Business Revenue, Gross Margin and Market Share (2019-2024)
    • 2.10.5 Blue Yonder Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global Generative AI for Business Revenue and Share by Players (2019-2024)
  • 3.2 Market Share Analysis (2023)
    • 3.2.1 Market Share of Generative AI for Business by Company Revenue
    • 3.2.2 Top 3 Generative AI for Business Players Market Share in 2023
    • 3.2.3 Top 6 Generative AI for Business Players Market Share in 2023
  • 3.3 Generative AI for Business Market: Overall Company Footprint Analysis
    • 3.3.1 Generative AI for Business Market: Region Footprint
    • 3.3.2 Generative AI for Business Market: Company Product Type Footprint
    • 3.3.3 Generative AI for Business 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 for Business Consumption Value and Market Share by Type (2019-2024)
  • 4.2 Global Generative AI for Business Market Forecast by Type (2025-2030)

5 Market Size Segment by Application

  • 5.1 Global Generative AI for Business Consumption Value Market Share by Application (2019-2024)
  • 5.2 Global Generative AI for Business Market Forecast by Application (2025-2030)

6 North America

  • 6.1 North America Generative AI for Business Consumption Value by Type (2019-2030)
  • 6.2 North America Generative AI for Business Consumption Value by Application (2019-2030)
  • 6.3 North America Generative AI for Business Market Size by Country
    • 6.3.1 North America Generative AI for Business Consumption Value by Country (2019-2030)
    • 6.3.2 United States Generative AI for Business Market Size and Forecast (2019-2030)
    • 6.3.3 Canada Generative AI for Business Market Size and Forecast (2019-2030)
    • 6.3.4 Mexico Generative AI for Business Market Size and Forecast (2019-2030)

7 Europe

  • 7.1 Europe Generative AI for Business Consumption Value by Type (2019-2030)
  • 7.2 Europe Generative AI for Business Consumption Value by Application (2019-2030)
  • 7.3 Europe Generative AI for Business Market Size by Country
    • 7.3.1 Europe Generative AI for Business Consumption Value by Country (2019-2030)
    • 7.3.2 Germany Generative AI for Business Market Size and Forecast (2019-2030)
    • 7.3.3 France Generative AI for Business Market Size and Forecast (2019-2030)
    • 7.3.4 United Kingdom Generative AI for Business Market Size and Forecast (2019-2030)
    • 7.3.5 Russia Generative AI for Business Market Size and Forecast (2019-2030)
    • 7.3.6 Italy Generative AI for Business Market Size and Forecast (2019-2030)

8 Asia-Pacific

  • 8.1 Asia-Pacific Generative AI for Business Consumption Value by Type (2019-2030)
  • 8.2 Asia-Pacific Generative AI for Business Consumption Value by Application (2019-2030)
  • 8.3 Asia-Pacific Generative AI for Business Market Size by Region
    • 8.3.1 Asia-Pacific Generative AI for Business Consumption Value by Region (2019-2030)
    • 8.3.2 China Generative AI for Business Market Size and Forecast (2019-2030)
    • 8.3.3 Japan Generative AI for Business Market Size and Forecast (2019-2030)
    • 8.3.4 South Korea Generative AI for Business Market Size and Forecast (2019-2030)
    • 8.3.5 India Generative AI for Business Market Size and Forecast (2019-2030)
    • 8.3.6 Southeast Asia Generative AI for Business Market Size and Forecast (2019-2030)
    • 8.3.7 Australia Generative AI for Business Market Size and Forecast (2019-2030)

9 South America

  • 9.1 South America Generative AI for Business Consumption Value by Type (2019-2030)
  • 9.2 South America Generative AI for Business Consumption Value by Application (2019-2030)
  • 9.3 South America Generative AI for Business Market Size by Country
    • 9.3.1 South America Generative AI for Business Consumption Value by Country (2019-2030)
    • 9.3.2 Brazil Generative AI for Business Market Size and Forecast (2019-2030)
    • 9.3.3 Argentina Generative AI for Business Market Size and Forecast (2019-2030)

10 Middle East & Africa

  • 10.1 Middle East & Africa Generative AI for Business Consumption Value by Type (2019-2030)
  • 10.2 Middle East & Africa Generative AI for Business Consumption Value by Application (2019-2030)
  • 10.3 Middle East & Africa Generative AI for Business Market Size by Country
    • 10.3.1 Middle East & Africa Generative AI for Business Consumption Value by Country (2019-2030)
    • 10.3.2 Turkey Generative AI for Business Market Size and Forecast (2019-2030)
    • 10.3.3 Saudi Arabia Generative AI for Business Market Size and Forecast (2019-2030)
    • 10.3.4 UAE Generative AI for Business Market Size and Forecast (2019-2030)

11 Market Dynamics

  • 11.1 Generative AI for Business Market Drivers
  • 11.2 Generative AI for Business Market Restraints
  • 11.3 Generative AI for Business 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 for Business Industry Chain
  • 12.2 Generative AI for Business Upstream Analysis
  • 12.3 Generative AI for Business Midstream Analysis
  • 12.4 Generative AI for Business Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    Summary:
    Get latest Market Research Reports on Generative AI for Business. Industry analysis & Market Report on Generative AI for Business is a syndicated market report, published as Global Generative AI for Business Market 2024 by Company, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of Generative AI for Business market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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