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市場調查報告書
商品編碼
1500213
生成式人工智慧市場:按產品、按生成模型類型、按功能、按應用、按最終用途 - 2024-2030 年全球預測Generative AI Market by Offering (Services, Software), Generative Model Type (Autoencoders, Convolutional Neural Networks, Deep Learning Models), Function, Application, End-use - Global Forecast 2024-2030 |
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預計2023年生成式人工智慧市場規模為145.8億美元,預計2024年將達192.1億美元,2030年將達1,087.2億美元,複合年成長率為33.24%。
生成式人工智慧(Generative AI)是人工智慧技術的一部分,專注於產生與原始輸入相似的新內容、資料和資訊。它結合了機器學習演算法來產生包括文字、圖像、音樂、音訊和其他形式媒體的輸出。這些技術正在應用於娛樂、汽車和醫療保健等各個領域的內容創建、藥物發現和個人化客戶體驗等任務。更強大、更具成本效益的運算資源(包括 GPU)和雲端服務的可用性使得在大型資料集上訓練複雜的生成人工智慧模型成為可能,這正在推動市場成長。線上產生的資料的快速增加為生成式人工智慧模型提供了充足的學習材料,使它們能夠學習和模仿各種模式,為市場成長創造了平台。公共和私營部門日益成長的興趣和投資,以及學術界和工業界之間的合作,正在加速生成式人工智慧技術的開發和應用。與使用生成人工智慧相關的資料隱私和安全問題正在阻礙市場成長。深度學習架構的不斷探索和改進,尤其是為生成式人工智慧提供支援的神經網路,預計將為市場成長創造機會。
主要市場統計 | |
---|---|
基準年[2023] | 145.8億美元 |
預測年份 [2024] | 192.1億美元 |
預測年份 [2030] | 1087.2億美元 |
複合年成長率(%) | 33.24% |
區域洞察
在美洲,美國作為生成式人工智慧開發的關鍵中心脫穎而出,擁有越來越多的科技公司和充滿活力的Start-Ups系統。加拿大也發揮著重要作用,特別是在學術和研究方面,其研究機構以人工智慧和機器學習的突破而聞名。南美國家在採用生成式人工智慧方面正在取得進展,其中巴西和墨西哥擴大了金融、媒體和零售等領域的採用。亞太地區的生成人工智慧呈現出充滿活力和多樣化的格局,其特點是快速採用和創新。在中國,政府將人工智慧作為未來發展的核心技術予以戰略重視。中國是許多人工智慧巨頭和新興企業在娛樂、製造和醫療保健等各個領域開拓了生成式人工智慧應用。韓國和日本以其技術力而聞名,在機器人和人工智慧方面進行了廣泛的研究和開發,並將生成模型整合到各種工業和消費應用中。由於文化、經濟和監管的多樣性,歐洲、中東和非洲地區非常複雜。歐洲處於領先地位,多個國家對人工智慧研究和開發表現出了堅定的承諾。歐盟(EU)對人工智慧的投資,以及對《人工智慧法案》等道德標準和法規的重視,確保該地區採取平衡的方法來促進創新,同時確保負責任地部署人工智慧。英國、德國和法國以其充滿活力的學術界、新興企業和老牌公司生態系統而聞名,專注於金融、醫療保健和汽車領域的生成式人工智慧應用。在中東,阿拉伯聯合大公國和以色列等國家正在投資人工智慧技術,包括生成式人工智慧,以推動經濟多元化和創新。尤其是阿拉伯聯合大公國,推出了多項舉措,將生成式人工智慧融入公共服務、醫療保健和教育,成為世界人工智慧中心。南非對生成式人工智慧的參與正處於成長階段,南非、埃及和奈及利亞主要專注於將人工智慧應用於醫療保健、農業和金融普惠計劃。
FPNV定位矩陣
FPNV 定位矩陣對於評估生成式 AI 市場供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一個綜合工具,可以對產生人工智慧市場中供應商的現狀進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他關鍵指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在生成人工智慧市場中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[192 Pages Report] The Generative AI Market size was estimated at USD 14.58 billion in 2023 and expected to reach USD 19.21 billion in 2024, at a CAGR 33.24% to reach USD 108.72 billion by 2030.
Generative AI, a part of artificial intelligence technologies, focuses on generating new content, data, and information similar to original inputs. It incorporates machine learning algorithms to produce outputs that can include text, images, music, voice, and other forms of media. These technologies have found applications across various sectors, including entertainment, automotive, and healthcare, for tasks such as content creation, drug discovery, and personalized customer experiences. The availability of more powerful and cost-effective computing resources, both in terms of hardware, including GPUs and cloud services, has made it feasible to train complex generative AI models on large datasets, fostering market growth. The exponential growth of data generated online provides ample training material for generative AI models, enabling them to learn and mimic various patterns, creating a platform for market growth. Increased interest and investment from both public and private sectors, coupled with collaborations between academia and industry, are accelerating the development and application of generative AI technologies. Data privacy and security issues with the usage of generative AI hamper the market growth. Continuous research and improvements in deep learning architectures, particularly in neural networks that enhance the capabilities of generative AI, are expected to create opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 14.58 billion |
Estimated Year [2024] | USD 19.21 billion |
Forecast Year [2030] | USD 108.72 billion |
CAGR (%) | 33.24% |
Regional Insights
In the Americas, the United States stands out as a pivotal hub for generative AI development with the rising presence of technology companies and a dynamic startup ecosystem. Canada also plays a crucial role, particularly in academic and research contributions, with its institutions being renowned for breakthroughs in AI and machine learning. South American countries are progressively embracing generative AI, with Brazil and Mexico expanding adoption across sectors such as finance, media, and retail. The APAC region exhibits a vibrant and diverse landscape for generative AI, characterized by rapid adoption and innovation. China, with its government's strategic focus on AI as a core technology for future development. The country is home to numerous AI giants and startups pioneering generative AI applications across various sectors, including entertainment, manufacturing, and healthcare. South Korea and Japan are notable for their technological prowess, with extensive research and development in robotics and AI, integrating generative models in various industrial and consumer applications. The EMEA region presents a complex picture due to its cultural, economic, and regulatory diversity. Europe is at the forefront, with several countries exhibiting strong commitments to AI research and development. The European Union's investment in AI, along with a focus on ethical standards and regulations such as the AI Act, underscores the region's balanced approach towards fostering innovation while ensuring responsible AI deployment. The UK, Germany, and France are notable for their vibrant ecosystems comprising academia, startups, and established companies focusing on generative AI applications in finance, healthcare, and automotive sectors. In the Middle East, countries such as the UAE and Israel are investing in AI technologies, including generative AI, to drive economic diversification and innovation. The UAE, in particular, has launched several initiatives to become a global AI hub, integrating generative AI in public services, healthcare, and education. South Africa's engagement with generative AI is in growing stages, with South Africa, Egypt, and Nigeria focusing primarily on applying AI in healthcare, agricultural, and financial inclusion projects.
Market Insights
The market dynamics represent an ever-changing landscape of the Generative AI Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Generative AI Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Generative AI Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Strategic Acquisition of Clipdrop by Jasper Amplifies Multimodal Marketing Capabilities for Enterprises
Jasper acquired Clipdrop from Stability AI, marking a monumental leap in Jasper's journey towards delivering an all-encompassing, multimodal support system specifically tailored for enterprise marketing teams. The fusion of Clipdrop's technology with Jasper's AI-driven marketing solutions is anticipated to revolutionize personalized marketing strategies, offering unparalleled automation and optimization capabilities. The acquisition underscores Jasper's expansion into the European market and its commitment to nurturing the AI ecosystem in Paris. [Published On: 2024-02-22]
Visa Ventures into Generative Artificial Intelligence with a USD 100 Million Investment Fund
Visa announced the initiation of a substantial USD 100 million venture fund dedicated to nurturing startups in the generative artificial intelligence (AI) domain, marking a significant endorsement of the field alongside technology giants. This move underscores the burgeoning interest in AI technologies, particularly following the widespread acclaim of the chatbot ChatGPT. Visa aims to explore and understand the transformative potential of generative AI beyond its current applications in tasks and content creation, particularly its impact on commerce. [Published On: 2023-10-03]
Infosys and Microsoft Embark on a Pioneering AI-Driven Collaboration
Infosys announced its strategic collaboration with Microsoft to craft solutions by harnessing the power of Infosys Topaz, together with Azure OpenAI Service and Azure Cognitive Services. Uniting their AI expertise, both corporations aspire to revolutionize enterprise operations by offering AI-enhanced solutions across various sectors. The synergy with Microsoft enhances Infosys Topaz's capabilities, propelling businesses towards adopting AI-centric solutions, thereby strengthening operational efficiency, reducing processing times, safeguarding investments, and paving the way for innovative business models. [Published On: 2023-09-26]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Generative AI Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Generative AI Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, AI21 Labs Ltd., Amazon Web Services, Inc., Anthropic PBC, AssemblyAI, Inc., Clarifai, Inc., Databricks, Inc., DeepL SE, Dialpad, Inc., Genie AI Ltd., Google LLC by Alphabet Inc., Infosys Limited, International Business Machines Corporation, Lighttricks, Markovate, Inc., Meta Platforms, Inc., Microsoft Corporation, Midjourney, Inc., Mostly AI Solutions MP GmbH, OpenAI OpCo, LLC, Paige AI, Inc., Persado, Inc., Revery AI Inc., and Theai, Inc..
Market Segmentation & Coverage