市場調查報告書
商品編碼
1466652
複合人工智慧市場:按組件、應用程式和最終用戶分類 - 2024-2030 年全球預測Composite AI Market by Component (Hardware, Services, Software), Application (Predictive Maintenance, Product Design & Development, Quality Control), End-User - Global Forecast 2024-2030 |
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預計2023年複合人工智慧市場規模為15.4億美元,2024年達20.6億美元,2030年預計將達到116.8億美元,複合年成長率為33.45%。
複合人工智慧整合了多種人工智慧(AI)技術、機器學習演算法和資料處理技術,建構能夠理解、分析和解決複雜問題的複雜系統。複雜人工智慧正在應用於各個行業,包括醫療保健、金融、零售、製造、汽車和通訊。對能夠解決傳統特定產業方法局限性的創新人工智慧主導解決方案的需求不斷成長,正在推動複合人工智慧市場的成長。資料隱私和監管合規性問題會出現,尤其是在處理資料敏感資訊時。此外,將多種人工智慧技術整合到複合解決方案中可能會帶來相容性問題、系統管理複雜性增加和潛在技術故障等挑戰。此外,人工智慧演算法和機器學習技術的不斷進步,幫助企業將多種人工智慧功能整合到全面的解決方案中,以及跨產業數位轉型的快速採用,有利於市場成長。
主要市場統計 | |
---|---|
基準年[2023] | 15.4億美元 |
預測年份 [2024] | 20.6億美元 |
預測年份 [2030] | 116.8億美元 |
複合年成長率(%) | 33.45% |
零件公司擴大複雜人工智慧軟體的使用
硬體組件是在設備和系統中啟用人工智慧功能的基礎。硬體組件包括處理器(GPU、CPU、FPGA)、感測器、儲存設備和其他旨在高效執行人工智慧任務的專用硬體模組。對自動駕駛汽車、機器人和智慧城市的需求不斷成長正在推動這一類別的成長。服務包括公司提供的一系列支持,幫助客戶有效實施複雜的人工智慧解決方案。這包括諮詢服務、系統整合服務、培訓計劃、維護服務等。軟體元件由平台、應用程式和工具組成,允許公司設計、開發和部署複雜的人工智慧解決方案。硬體領域也取得了重大進展,推出了尖端處理器來滿足人工智慧任務日益成長的運算需求。
消費者擴大採用人工智慧驅動的安全和監控系統
預測性維護使用先進的分析和建模技術來主動識別潛在的設備故障。在產品設計和開發中,我們在創意產生、概念規劃、原型製作和測試的每個階段都利用人工智慧技術創造新產品。這使得製造商能夠更快地生產更好的產品,同時最大限度地降低失敗風險。品管使用人工智慧演算法來確保製造的產品始終滿足行業標準和客戶要求。該技術使自動化檢測系統能夠比傳統手動流程更準確地檢測缺陷和規格偏差。人工智慧驅動的安全和監控系統分析視訊來源以進行物件識別、行為識別和異常檢測,以加強安全措施並改善公共。人工智慧技術正在透過預測性維護、產品設計和開發、品管、安全和監控等應用來改變產業,提供資料主導的見解,從而提高效率和生產力,同時降低成本。
最終用戶:持續努力實現能源和公共產業部門的數位化,以實現能源管理和高效維護
由於需要改善客戶體驗、確保監管合規性和最佳化業務效率,銀行和金融部門擴大採用複雜的人工智慧。在能源和電力領域,複雜的人工智慧用於預測性資產維護、能源管理最佳化和需求預測。醫療保健組織正在採用複雜的人工智慧,透過個人化護理計劃、疾病早期診斷、加速藥物開發和改善遠端醫療服務來改善患者治療結果。在製造業中,複雜的人工智慧正在幫助增強精益流程自動化、最佳化品管和簡化供應鏈。媒體和娛樂公司正在採用複雜的人工智慧技術來實現內容個人化、自動影片編輯、目標受眾分析和版權執法。在零售業,複雜的人工智慧解決方案被用來提高需求預測準確性、制定動態定價策略、細化客戶細分並增強虛擬購物體驗。在交通運輸產業,複雜的人工智慧被用來最佳化路線、加速自動駕駛汽車的開發、改善物流管理並加強交通模式分析。
區域洞察
北美市場的特徵是電商普及高、經濟成熟。由於技術進步,消費者的偏好多種多樣且不斷變化。該地區在研發 (R&D) 方面投入巨資,領先企業尋求透過專利保護其創新。由於成員國基礎設施發達且產品種類繁多,歐盟地區的零售競爭格局極為嚴峻。此外,歐盟各國政府也積極參與資助與人工智慧(AI)和區塊鏈技術相關的研究計劃。在亞太地區,在大型科技公司的主導,全部區域對人工智慧研究的投資正在迅速增加。此外,該地區的行動普及很高,消費者也廣泛採用數位付款管道。
FPNV定位矩陣
FPNV定位矩陣對於評估複合AI市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限: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,可以對複雜人工智慧市場中供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1.複合AI市場規模及預測是多少?
2.複合人工智慧市場預測期內需要考慮投資的產品、細分市場、應用程式和領域有哪些?
3.複雜的人工智慧市場的技術趨勢和法規結構是什麼?
4.複雜AI市場主要廠商的市場佔有率為何?
5.進入複雜的人工智慧市場的適當型態和策略手段是什麼?
[190 Pages Report] The Composite AI Market size was estimated at USD 1.54 billion in 2023 and expected to reach USD 2.06 billion in 2024, at a CAGR 33.45% to reach USD 11.68 billion by 2030.
Composite AI integrates multiple artificial intelligence (AI) technologies, machine learning algorithms, and data processing methodologies to create advanced systems capable of understanding, analyzing, and solving complex problems. Composite AI applications across various healthcare, finance, retail, manufacturing, automotive, and telecommunications industries. Increasing demand for innovative AI-driven solutions that can address the limitations of traditional industry-specific approaches driving the growth of the composite AI market. Data privacy and regulatory compliance concerns emerge, especially when dealing with sensitive information such as personal or financial data. Moreover, integrating multiple AI technologies into a composite solution may pose challenges in terms of compatibility issues, increased complexity in system management, and potential technical failures. Furthermore, continuous advancements in AI algorithms and machine learning techniques that help businesses to integrate multiple AI capabilities into one comprehensive solution and rapid adoption of digital transformation across industries have created lucrative opportunities for market growth.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 1.54 billion |
Estimated Year [2024] | USD 2.06 billion |
Forecast Year [2030] | USD 11.68 billion |
CAGR (%) | 33.45% |
Component: Growing utilization of composite AI software by businesses
Hardware components are the foundation for enabling AI capabilities in devices or systems. They include processors (GPUs, CPUs, FPGAs), sensors, memory devices, and other specialized hardware modules designed to execute AI tasks efficiently. The increasing demand for autonomous vehicles, robotics, and smart cities drives growth in this category. Services encompass various support offerings provided by companies to help clients implement composite AI solutions effectively. These include consulting services, system integration services, training programs, maintenance services, and others aimed at facilitating successful deployment and adaptation of advanced AI technologies across industries. Software components comprise platforms, applications, and tools that allow organizations to design, develop, and deploy composite AI solutions. The hardware segment is also witnessing significant advancements, with cutting-edge processors being launched to cater to increasing computational demands of AI tasks.
Application: Increasing consumer adoption of AI-powered security & surveillance systems
Predictive maintenance involves the use of advanced analytics and modeling techniques to identify potential equipment failures before they happen, allowing businesses to save time and money by addressing issues proactively. Product design & development leverages AI technology in the ideation, conceptualization, prototyping, and testing phases of new product creation. This enables manufacturers to create better products faster while minimizing risks associated with failure. Quality control uses AI algorithms to ensure that manufactured products meet industry standards and customer requirements consistently. The technology allows for automated inspection systems that can detect defects or variations from specifications with high accuracy rates compared to traditional manual processes. AI-powered security & surveillance systems analyze video feeds for object identification, behavior recognition, and anomaly detection to enhance security measures and improve public safety. AI technology is transforming industries through applications such as predictive maintenance, product design & development, quality control, and security & surveillance by providing data-driven insights that drive efficiency and productivity while reducing costs.
End-User: Ongoing efforts to digitize the energy & utility sector for energy management and efficient maintenance
In the banking & finance sector, composite AI adoption is driven by the need to improve customer experience, ensure regulatory compliance, and optimize operational efficiency. The energy & power sector leverages composite AI for predictive maintenance of assets, energy management optimization, and demand forecasting. Healthcare organizations employ composite AI to enhance patient outcomes through personalized care plans, early diagnosis of diseases, drug development acceleration, and telemedicine services improvement. In manufacturing environments, composite AI finds utility in process automation enhancement to reduce waste, quality control optimization, and improve supply chain efficiency. Media & entertainment companies adopt composite AI techniques for content personalization, automated video editing, target audience analysis, and copyright enforcement. The retail sector relies on composite AI solutions for demand forecasting accuracy improvement, dynamic pricing strategy development, customer segmentation refinement, and virtual shopping experiences enhancement. In the transportation industry, composite AI has been employed for route optimization purposes, autonomous vehicle development acceleration, logistics management improvement, and traffic pattern analysis enrichment.
Regional Insights
The North American market is characterized by a mature economy with high levels of e-commerce penetration. Consumer preferences are diverse and constantly evolving due to technological advancements. The region is witnessing significant investment in research and development (R&D), with major corporations seeking to protect their innovations through patents. The EU region has a highly competitive retail landscape due to its well-developed infrastructure and diverse range of products available throughout its member states. Additionally, EU governments are actively involved in funding research projects related to artificial intelligence (AI) and blockchain technology. In the APAC region, investment in AI research has surged across the region, with major tech companies leading the charge. Moreover, mobile penetration rates are high in this area, which has led to significant adoption of digital payment platforms among consumers.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Composite AI Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Composite AI Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Composite AI Market, highlighting leading vendors and their innovative profiles. These include ACTICO GmbH, Amazon Web Service, Inc., BST LABS, CognitiveScale by Tecnotree Corporation, DataRobot, Inc., Diwo, Google LLC by Alphabet Inc., H2O.ai, Inc., HP Development Company, L.P., Intel Corporation, International Business Machines Corporation, Microsoft, Inc., Netra Ltd. by Claravine, Open Text Corporation, Oracle Corporation, Salesforce, Inc., SAS Institute Inc., Squirro AG, UiPath, and ZestFinance Inc..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Composite AI Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Composite AI Market?
3. What are the technology trends and regulatory frameworks in the Composite AI Market?
4. What is the market share of the leading vendors in the Composite AI Market?
5. Which modes and strategic moves are suitable for entering the Composite AI Market?