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市場調查報告書

商品編碼

1336687

全球生成人工智慧市場 - 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: 約2個工作天內

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簡介目錄

市場概況

2022年，全球生成式人工智慧市場規模達到111億美元，預計到2030年將達到526億美元，2023-2030年預測期間年複合成長率為35.7%。由於生成人工智慧，系統可以變得多功能，這使得它們能夠同時解釋多種形式，例如圖像和文本，從而擴大了它們的使用範圍並增強了它們的多功能性。生成式人工智慧允許人類使用自然語言而不是編程語言與電腦對話，從而改善人機交互。

在預測期內，媒體和娛樂類別預計將佔全球市場的1/3左右。擴大使用生成式人工智慧來創建更好的商業活動，預計將推動媒體和娛樂行業的市場需求。美國網際網路媒體、新聞和娛樂公司 BuzzFeed, Inc. 於 2023 年 1 月表示，將使用美國人工智慧公司 Open AI 提供的人工智慧功能來增強和個性化某些內容產品。

市場動態

人工智慧的採用率不斷上升

超解析度、文本到圖像轉換和文本到影片轉換等創新解決方案的使用不斷增加，加上各行業對現代化工作流程的需求不斷增加，娛樂、醫藥、醫療等行業對生成式人工智慧的需求不斷增加。工程、金融和國防。此外，人工智慧的使用增加是由於其處理能力的提高以及解決廣泛工業領域困難的能力。

同樣，生成式人工智慧在各種行業中都有用途，以幫助圖像處理和電影修復。它還有助於低解析度照片智慧升級為高解析度照片。它通常是通過將舊照片和電影縮放至 4K 或更高來實現的，這會導致每秒 60 幀。

例如，2023 年 1 月，Alethea AI 和 Polygon 在 Polygon 上發起了生成式 AI 收藏品活動，允許快速創建、訓練和交易 AI 角色作為 NFT。 Polygon 為 Alethea AI 的生成人工智慧角色項目提供了開發資金。借助生成式人工智慧，電腦可以根據查詢生成原始材料、利用獲取的數據以及與用戶的交互來展示創造力。這一進步有助於生成人工智慧市場的擴大。

人們對虛擬世界的興趣與日俱增

由於生成式 AI 使虛擬實境 (VR) 開發人員能夠開發出無限的獨特且引人入勝的遊戲環境庫，因此將其整合到 VR 遊戲和 VR 訓練模擬等相關用例中，有可能顯著提高其效率。因此，生成式人工智慧在商業中的初步應用預計將集中在勞動力方面的人類人工智慧增強，這將極大地促進全球市場的成長。

在元宇宙中，生成式人工智慧涉及一些人類創造的資產，例如照片、聲音或 3D 模型，然後添加電腦隨機性和處理能力來創建同等的原始產品。例如，Nvidia 於 2023 年 1 月為企業提供了 AR 和 VR 等新的元宇宙技術，以及一套生成式人工智慧工具，如全宇宙門戶。它首次推出了具有 3D 和 RTX 生成人工智慧功能的 Omniverse 門戶，以及 Omniverse Enterprise 平台的升級。

技術資源和法規的要求

對於嘗試利用這項技術的公司來說，尋找和維持具有生成式人工智慧知識的有能力的人工智慧研究人員、數據科學家和工程師是一個持續存在的問題。訓練生成式 AI 模型，特別是像 GPT-3 這樣的大型模型，需要對電腦資源進行大量投資。這些模型包含數百萬甚至數十億個參數，導致昂貴的硬體、能源和維護費用。

生成式人工智慧模型的複雜性需要專門的技能，這使得小公司很難正確接受和利用這些技術。隨著人工智慧技術的應用越來越廣泛，許多監管機構已經開始評估其影響和危害。公司可能不願意投資法律影響不確定的技術，這可能會阻礙生成人工智慧領域的創新和投資。

COVID-19 影響分析

在經濟不確定時期，企業尋求簡化流程、消除體力勞動並尋找具有成本效益的替代方案的方法。由於大流行，企業被迫採用遠程工作模式，這增加了對促進虛擬協作、內容開發和通訊的人工智慧技術的需求。遠程工作工作極大地受益於生成式人工智慧技術。

人工智慧在大流行中的應用不斷成長，因為它包括用於識別未戴口罩的人的口罩檢測系統，以及用於遠程監控患者和維持社會控制的人體存在系統。此外，在大流行期間，人工智慧驅動的電腦系統或平台被用來監測和預測冠狀病毒的變異。因此，COVID-19疫情對生成人工智慧技術領域產生了有利影響。

俄羅斯-烏克蘭戰爭影響

這場衝突有可能對區域生成人工智慧市場產生更大的影響。無人機是助長烏克蘭衝突的最重要技術進步之一。烏克蘭衝突讓無人機走上了公眾對現代戰爭的認知和認知的前沿。總部位於美國的軟體公司 Palantir 聲稱已向烏克蘭提供人工智慧技術，以改進瞄準系統。

據說 Palantir 的 Skykit 自主情報中心已交給烏克蘭。內置監控和可充電電源使房屋能夠處理地面資訊和數據。 Palantir 的軟體為 Skykit 提供支持，使士兵能夠評估戰場上任何地方的數據，以便更好地做出決策和無人機引導。

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