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市場調查報告書
商品編碼
1499382
企業人工智慧市場:按組件、技術、部署、組織規模、應用程式、最終用戶分類 - 2024-2030 年全球預測Enterprise AI Market by Component (Service, Solution), Technology (Computer Vision, Deep Learning, Edge Computing), Deployment, Organization Size, Application, End-User - Global Forecast 2024-2030 |
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預計2023年企業人工智慧市場規模為177.8億美元,預計2024年將達230.5億美元,2030年將達到1,236.8億美元,複合年成長率為31.92%。
企業人工智慧是指在組織內策略實施人工智慧(AI)技術,以提高效率、簡化業務和增強決策流程。它包含一套由人工智慧驅動的應用程式和工具,旨在滿足從預測分析和客戶服務自動化到供應鏈最佳化和個人化行銷的各種業務需求。企業人工智慧的主要驅動力是提高生產力、競爭差異化和提高客戶滿意度的需求。隨著市場變得越來越資料主導,公司正在利用人工智慧來處理大量資料並獲得為策略決策提供資訊的見解。此外,自動化複雜流程和降低營運成本的願望正在推動企業採用人工智慧。然而,缺乏能夠實施和管理人工智慧解決方案的熟練人員正在影響企業對人工智慧的採用。對資料隱私的擔憂、不確定的法規環境以及人工智慧實施的高昂初始成本也是普及的主要挑戰。此外,人工智慧演算法的創新和不斷增強的資料處理能力正在推動市場成長。將人工智慧與物聯網設備和邊緣運算相結合可以徹底改變即時資料處理和分析。
主要市場統計 | |
---|---|
基準年[2023] | 177.8億美元 |
預測年份 [2024] | 230.5億美元 |
預測年份 [2030] | 1236.8億美元 |
複合年成長率(%) | 31.92% |
區域洞察
美洲,特別是美國和加拿大,正在對人工智慧技術進行大量投資,企業人工智慧由於其增強業務營運和客戶體驗的潛力而處於主導。該地區是許多積極投資人工智慧研發的人工智慧Start-Ups和大公司的所在地。由於需要提高效率和競爭優勢,美洲地區的特點是醫療保健、金融和零售等產業對人工智慧工具的採用率很高。歐盟國家正在展示一種以強調道德標準、隱私和安全的政策為指導的人工智慧協作方法。在政府機構的大力支持下,歐洲企業正在加速採用人工智慧,以提高業務效率和永續性,特別是在製造業和汽車業。中東的戰略重點是實現經濟多元化,擺脫對石油的依賴,對人工智慧進行重大投資,作為其數位轉型策略的一部分。儘管非洲公司正處於實施人工智慧的早期階段,但他們已經開始探索諸如預測農業作物產量、預測醫療保健疾病以及增強金融數位服務等應用。在強調技術進步促進經濟成長的政府和國際援助的支持下,投資不斷增加。在亞太地區,中國、日本和印度是人工智慧投資和採用的主要參與者。政府雄心勃勃的人工智慧發展計畫正在向人工智慧研究和技術基礎設施投入大量資源,使得企業在監控、電子商務和智慧城市等領域採用人工智慧的時機已經成熟。日本專注於機器人和深度學習技術,並將其融入汽車和電子等行業。印度正經歷充滿活力的局勢,IT 和軟體服務業推動快速普及。
FPNV定位矩陣
FPNV 定位矩陣對於評估供應商在企業 AI 市場的定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與商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種綜合工具,可對企業人工智慧市場中供應商的現狀進行深入而詳細的評估。對供應商貢獻的徹底比較和分析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力的寶貴見解,包括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。對企業人工智慧市場當前地位的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。
[182 Pages Report] The Enterprise AI Market size was estimated at USD 17.78 billion in 2023 and expected to reach USD 23.05 billion in 2024, at a CAGR 31.92% to reach USD 123.68 billion by 2030.
Enterprise AI refers to the strategic implementation of artificial intelligence (AI) technologies within organizations to improve efficiency, streamline operations, and enhance decision-making processes. It encompasses a suite of AI-powered applications and tools designed to address various business needs, ranging from predictive analytics and customer service automation to supply chain optimization and personalized marketing. The primary drivers of Enterprise AI are the demand for enhanced productivity, competitive differentiation, and customer satisfaction. As markets become increasingly data-driven, enterprises are leveraging AI to process large volumes of data for insights that inform strategic decisions. Additionally, the desire to automate complex processes and reduce operational costs fuels the adoption of AI within corporate entities. However, the shortage of skilled personnel capable of deploying and managing AI solutions impacts AI adoption in enterprises. Data privacy concerns, unclear regulatory environments, and the high initial costs of AI implementation pose considerable challenges to widespread adoption. Furthermore, innovations in AI algorithms and the increased capabilities of data processing boost market growth. Combining AI with IoT devices and edge computing can lead to innovations in real-time data processing and analytics.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 17.78 billion |
Estimated Year [2024] | USD 23.05 billion |
Forecast Year [2030] | USD 123.68 billion |
CAGR (%) | 31.92% |
Regional Insights
In the Americas, particularly in the United States and Canada, there is significant investment in AI technologies, with enterprise AI in a leading position due to its potential to enhance business operations and customer experiences. The region hosts numerous AI startups and established tech giants actively investing in AI research and development. The Americas region is characterized by a high adoption rate of AI tools in sectors including healthcare, finance, and retail, driven by the need to improve efficiency and competitive advantage. EU countries show a collaborative approach towards AI, guided by policies that emphasize ethical standards, privacy, and security. With substantial support from government bodies, European enterprises are increasingly integrating AI to enhance operational efficiency and sustainability, particularly in the manufacturing and automotive industries. In the Middle East, there is a strategic focus on diversifying economies away from oil dependency, leading to significant investments in AI as part of their digital transformation strategies. African enterprises, albeit at an earlier stage of AI adoption, are beginning to explore uses in agriculture for predicting crop yields, healthcare for disease prediction, and finance for enhanced digital services. Investment is growing, assisted by governmental and international aid emphasizing technological advancement for economic growth. In the APAC, China, Japan, and India are significant countries in AI investment and implementation. The government's ambitious AI development plan has propelled vast resources into AI research and technological infrastructure, making it ripe for enterprise AI adoption in areas including surveillance, e-commerce, and smart cities. Japan focuses heavily on robotics and deep learning technologies, integrating these into industries such as automotive and electronics. India presents a dynamic landscape with rapid adoption driven by its IT and software service industries.
Market Insights
The market dynamics represent an ever-changing landscape of the Enterprise 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 Enterprise 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 Enterprise 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
Intel Advances Enterprise AI Landscape with Introduction of Gaudi 3 and Collaborative Open AI Systems
Intel announced the launch of Gaudi 3, a significant development in their AI open systems strategy aimed at enhancing enterprise AI capabilities. These efforts are designed to foster a more integrated and accessible AI ecosystem, ensuring that enterprises can fully leverage advanced AI solutions to drive innovation and efficiency in their operations. [Published On: 2024-04-09]
Wipro Launches Advanced AI Services Platform for Global Enterprises
Wipro has introduced a new platform designed to enhance its delivery of enterprise-level artificial intelligence (AI) services to clients worldwide. This platform aims to boost operational efficiencies, refine customer experiences, and foster innovation by integrating data management capabilities with AI and analytics. Recognized for aiming to tackle complex business challenges, Wipro's platform is equipped to serve various sectors, including banking, healthcare, and retail, marking a significant step in adapting next-generation technologies to meet diverse client needs effectively. [Published On: 2024-02-20]
Recorded Future Unveils New Enterprise AI Platform to Enhance Business Intelligence
Recorded Future has introduced a new Enterprise AI platform designed to significantly advance businesses' intelligence capabilities. The platform leverages state-of-the-art artificial intelligence to analyze vast datasets, enabling companies to uncover, interpret, and utilize actionable intelligence more effectively. By integrating real-time threat analysis and mitigation, this innovative solution promises to enhance security and improve overall business decision-making. [Published On: 2024-02-14]
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 Enterprise 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 Enterprise AI Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Adobe Inc., Alteryx, Inc., Amazon Web Services, Inc., C3.ai, Inc., Chetu Inc., Cisco Systems, Inc., Cognizant Technology Solutions Corporation, Databricks, Inc., Dataiku, Dell Inc., Fujitsu Limited, Genpact, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Hitachi, Ltd., Huawei Technologies Co., Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NEC Corporation, Nvidia Corporation, OpenAI OpCo, LLC, Oracle Corporation, Recorded Future, Salesforce, Inc., SAP SE, Siemens AG, Tata Consultancy Services, and Wipro Limited.
Market Segmentation & Coverage