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市场调查报告书

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全球生成人工智能市场 - 2023-2030

Global Generative AI Market - 2023-2030

出版日期: 2023年08月22日 | 出版商:

DataM Intelligence | 英文 205 Pages | 商品交期: 约2个工作天内

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简介目录

市场概况

2022年，全球生成式人工智能市场规模达到111亿美元，预计到2030年将达到526亿美元，2023-2030年预测期间年复合成长率为35.7%。由于生成人工智能，系统可以变得多功能，这使得它们能够同时解释多种形式，例如图像和文本，从而扩大了它们的使用范围并增强了它们的多功能性。生成式人工智能允许人类使用自然语言而不是编程语言与计算机对话，从而改善人机交互。

在预测期内，媒体和娱乐类别预计将占全球市场的1/3左右。越来越多地使用生成式人工智能来创建更好的商业活动，预计将推动媒体和娱乐行业的市场需求。美国互联网媒体、新闻和娱乐公司 BuzzFeed, Inc. 于 2023 年 1 月表示，将使用美国人工智能公司 Open AI 提供的人工智能功能来增强和个性化某些内容产品。

市场动态

人工智能的采用率不断上升

超分辨率、文本到图像转换和文本到视频转换等创新解决方案的使用不断增加，加上各行业对现代化工作流程的需求不断增加，娱乐、医药、医疗等行业对生成式人工智能的需求不断增加。工程、金融和国防。此外，人工智能的使用增加是由于其处理能力的提高以及解决广泛工业领域困难的能力。

同样，生成式人工智能在各种行业中都有用途，以帮助图像处理和电影修復。它还有助于低分辨率照片智能升级为高分辨率照片。它通常是通过将旧照片和电影缩放至 4K 或更高来实现的，这会导致每秒 60 帧。

例如，2023 年 1 月，Alethea AI 和 Polygon 在 Polygon 上发起了生成式 AI 收藏品活动，允许快速创建、训练和交易 AI 角色作为 NFT。 Polygon 为 Alethea AI 的生成人工智能角色项目提供了开发资金。借助生成式人工智能，计算机可以根据查询生成原始材料、利用获取的数据以及与用户的交互来展示创造力。这一进步有助于生成人工智能市场的扩大。

人们对虚拟世界的兴趣与日俱增

由于生成式 AI 使虚拟现实 (VR) 开发人员能够开发出无限的独特且引人入胜的游戏环境库，因此将其集成到 VR 游戏和 VR 训练模拟等相关用例中，有可能显着提高其效率。因此，生成式人工智能在商业中的初步应用预计将集中在劳动力方面的人类人工智能增强，这将极大地促进全球市场的增长。

在元宇宙中，生成式人工智能涉及一些人类创造的资产，例如照片、声音或 3D 模型，然后添加计算机随机性和处理能力来创建同等的原始产品。例如，Nvidia 于 2023 年 1 月为企业提供了 AR 和 VR 等新的元宇宙技术，以及一套生成式人工智能工具，如全宇宙门户。它首次推出了具有 3D 和 RTX 生成人工智能功能的 Omniverse 门户，以及 Omniverse Enterprise 平台的升级。

技术资源和法规的要求

对于尝试利用这项技术的公司来说，寻找和维持具有生成式人工智能知识的有能力的人工智能研究人员、数据科学家和工程师是一个持续存在的问题。训练生成式 AI 模型，特别是像 GPT-3 这样的大型模型，需要对计算机资源进行大量投资。这些模型包含数百万甚至数十亿个参数，导致昂贵的硬件、能源和维护费用。

生成式人工智能模型的复杂性需要专门的技能，这使得小公司很难正确接受和利用这些技术。随着人工智能技术的应用越来越广泛，许多监管机构已经开始评估其影响和危害。公司可能不愿意投资法律影响不确定的技术，这可能会阻碍生成人工智能领域的创新和投资。

COVID-19 影响分析

在经济不确定时期，企业寻求简化流程、消除体力劳动并寻找具有成本效益的替代方案的方法。由于大流行，企业被迫采用远程工作模式，这增加了对促进虚拟协作、内容开发和通信的人工智能技术的需求。远程工作工作极大地受益于生成式人工智能技术。

人工智能在大流行中的应用不断增长，因为它包括用于识别未戴口罩的人的口罩检测系统，以及用于远程监控患者和维持社会控制的人体存在系统。此外，在大流行期间，人工智能驱动的计算机系统或平台被用来监测和预测冠状病毒的变异。因此，COVID-19疫情对生成人工智能技术领域产生了有利影响。

俄罗斯-乌克兰战争影响

这场衝突有可能对区域生成人工智能市场产生更大的影响。无人机是助长乌克兰衝突的最重要技术进步之一。乌克兰衝突让无人机走上了公众对现代战争的认识和认识的前沿。总部位于美国的软件公司 Palantir 声称已向乌克兰提供人工智能技术，以改进瞄准系统。

据说 Palantir 的 Skykit 自主情报中心已交给乌克兰。内置监控和可充电电源使房屋能够处理地面信息和数据。 Palantir 的软件为 Skykit 提供支持，使士兵能够评估战场上任何地方的数据，以便更好地做出决策和无人机引导。

Market Overview

Global Generative AI Market reached US$ 11.1 billion in 2022 and is expected to reach US$ 52.6 billion by 2030, growing with a CAGR of 35.7% during the forecast period 2023-2030. Systems can become multifunctional due to generative AI, which allows them to interpret multiple forms at the same time, such as images and text, widening their usage areas and enhancing their versatility. Generative AI improves human-computer interaction by allowing humans to speak with computers using natural language instead of programming languages.

During the forecast period, the media and entertainment category is estimated to account for around 1/3rd of the global market. The growing use of generative AI to create better commercial campaigns is expected to drive market demand in the media and entertainment industry. BuzzFeed, Inc., a U.S.-based internet media, news and entertainment company, stated in January 2023 that it will use AI capabilities given by Open AI, a U.S.-based AI company, to enhance and personalize certain content offerings.

Market Dynamics

The Rising Adoption of AI

The rising use of innovative solutions like super-resolution, text-to-image conversion, and text-to-video conversion, along with increased demand for modernized workflow across industries, are increasing demand for generative AI in industries like as entertainment, medicine, engineering, finance and defense. Furthermore, the increased use of AI is due to its improved processing capability and ability to address difficulties in a wide range of industrial sectors.

Similarly, generative AI finds uses in a variety of industries to aid with image processing and film restoration. It also helps in the intelligent upgrading of low-resolution photos to high-resolution ones. It is usually accomplished by scaling old photos and movies up to 4K or greater, which results in 60 frames per second.

For example, in January 2023, Alethea AI and Polygon launched a generative AI collectibles campaign on Polygon, allowing for the quick creation, training and trading of AI characters as NFTs. Polygon provided development funding to Alethea AI for the generative AI characters project. With generative AI, computers demonstrate creativity by producing original material in response to queries, drawing on ingested data and interactions with users. The advancement has contributed to the expansion of the generative AI market.

The Growing Interest for Virtual World

As generative AI enables virtual reality (VR) developers to develop an infinite library of unique and engaging gaming environments, integrating it into relevant use cases like VR games and VR training simulations have the potential to significantly boost their efficiency. As a result, the initial application of generative AI in business is expected to focus on human-AI augmentation with the workforce, which is significantly encouraging the market growth globally.

In the metaverse, generative AI involves a few human-created assets, such as photographs, sounds or 3D models and then adding computer randomness and processing power to create equivalent original products. Nvidia, for example, offered new metaverse technologies like as AR and VR for corporations in January 2023, along with a suite of generative AI tools such as omniverse portals. It debuted Omniverse portals featuring generative AI for 3D and RTX, as well as upgrades to the Omniverse Enterprise platform.

Requirement of Skilled Resources and Regulations

Finding and maintaining capable AI researchers, data scientists and engineers with generative AI knowledge is a constant problem for companies trying to utilize this technology. Training generative AI models, particularly large-scale models like GPT-3, necessitates a significant investment in computer resources. The models contain millions or even billions of parameters, resulting in expensive hardware, energy and maintenance expenses.

The complexity of generative AI models necessitates specialized skills, making it difficult for smaller companies to properly accept and utilize these technologies. As AI technologies become more widely used, many regulatory agencies have begun to assess their impact and hazards. Companies may be unwilling to invest in technology with uncertain legal implications, which can hamper innovation and investment in the generative AI sector.

COVID-19 Impact Analysis

In times of economic uncertainty, businesses sought ways to streamline processes, eliminate manual labor and find cost-effective alternatives. As a result of the pandemic, businesses were forced to take on remote work models, which increased the demand for AI technologies that promote virtual collaboration, content development and communication. The remote work efforts have benefited greatly from generative AI technologies.

Artificial intelligence applications in the pandemic grew as it included the face mask detection system to identify people who were not wearing masks and the human presence system to remotely monitor patients in and maintaining social control. Furthermore, during the pandemic, computer systems or platforms driven by artificial intelligence were used to monitor and forecast coronavirus mutation. As a result, the COVID-19 epidemic has a favorable effect for the generative AI technology sector.

Russia- Ukraine War Impact

The conflict has the potential to have a larger impact on the regional generative AI market. Drones are one of the most significant technological advances fueling the conflict in Ukraine. The conflict in Ukraine has brought drones to the forefront of the public's awareness and awareness of modern warfare. Palantir, a software corporation based in U.S., claims to have provided Ukraine with AI technologies to improve targeting systems.

Palantir's Skykit autonomous intelligence centers are said to have been given to Ukraine. Built-in monitoring and rechargeable power supply enable the house to handle information and data on the ground. Palantir's software powers the Skykit, allowing soldiers to evaluate data anywhere on the battlefield to better decision-making and drone guidance.

Segment Analysis

The global generative AI market is segmented based on component, technology, model, application, end-user and region.

The Rising Penetration of AI Software in Various Industries

Software component is expected to hold more than 1/3rd of the global generative AI market during the forecast period 2023-2030. AI software is utilized in a variety of applications, including smartphone assistants, ATMs, ad-serving software and speech and image recognition. The expansion of the software market can be attributed to increased fraud activities, overestimation of capabilities, unexpected outcomes and increasing concerns about data protection.

As generative AI software becomes more powerful through robust ML models, it is expected to play a key role in a variety of businesses and sectors, including fashion, entertainment and transportation. H&M and Adidas, for example, have employed generative AI to develop clothing designs and custom sneakers. Furthermore, this technology has been used to create one-of-a-kind patterns for fabrics and prints, reducing designers time and effort.

Geographical Analysis

The Growing Adoption of AI in Asia-Pacific

Asia-Pacific is anticipated to have the highest growth holding around 1/4th of the global generative AI market during the forecast period 2023-2030. The growing number of government initiatives in AI in Asia-Pacific, as well as the growing usage of AI applications, are driving market growth in the region. The fast digitizing companies, which strain cloud networks and data centers, are also contributing to regional market growth.

Furthermore, AI adoption helps organizations empower civil society members to be responsible and knowledgeable users of AI equipment. IDC analyzes the generative AI field and its implications for customer experience (CX) in its recent research, Applications of Generative AI in Customer Experience. According to the results of IDC's FERS 2023 Survey Wave 2 APJ, 70% of Asia-Pacific C-suite executives are exploring or have already invested in generative AI use cases.

Competitive Landscape

The major global players include Adobe Inc., Amazon Web Services, Inc., Genie AI Ltd., Google LLC, IBM Corporation, Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, Synthesia and Speechify.

Why Purchase the Report?

To visualize the global generative AI market segmentation based on component, technology, model, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of generative AI market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as Excel consisting of key products of all the major players.

The global generative AI market report would provide approximately 77 tables, 86 figures and 205 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Technology
3.3. Snippet by Model
3.4. Snippet by Application
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. The Growing Popularity of Generative AI in Helathcare
  - 4.1.1.2. The Rising Government Initiatives
  - 4.1.1.3. The Rising Adoption of AI
  - 4.1.1.4. The Growing Demand of Virtual World
- 4.1.2. Restraints
  - 4.1.2.1. Data Limitations and Legal Concerns
  - 4.1.2.2. Requirement of Skilled Resources and Regulations
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Software*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services

8. By Technology

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 8.1.2. Market Attractiveness Index, By Technology
8.2. Generative Adversarial Networks (GANs)*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Transformers
8.4. Variational Auto-encoders
8.5. Diffusion Networks

9. By Model

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
- 9.1.2. Market Attractiveness Index, By Model
9.2. Large Language Models*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Image & Video Generative Models
9.4. Multi-modal Generative Models
9.5. Others

10. By Application

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.1.2. Market Attractiveness Index, By Application
10.2. Computer Vision*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Natural Language Processing (NLP)
10.4. Robotics and Automation
10.5. Content Generation
10.6. Chatbots and Intelligent Virtual Assistants
10.7. Predictive Analytics
10.8. Others

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. Media & Entertainment*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. BFSI
11.4. IT & Telecommunication
11.5. Automotive & Transportation
11.6. Healthcare
11.7. Gaming
11.8. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Russia
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Adobe Inc.*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Recent Developments
14.2. Amazon Web Services, Inc.
14.3. Genie AI Ltd.
14.4. Google LLC
14.5. IBM Corporation
14.6. Microsoft Corporation
14.7. MOSTLY AI Inc.
14.8. Rephrase.ai
14.9. Synthesia
14.10. Speechify

LIST NOT EXHAUSTIVE