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市場調查報告書
商品編碼
1623802
人工智慧 (AI) 平台市場規模、佔有率、成長分析,按組件、部署模式、組織規模、地區 - 產業預測,2025-2032 年Artificial Intelligence (AI) Platform Market Size, Share, Growth Analysis, By Component (Software, Services), By Deployment Mode (Cloud, On-Premises), By Organization Size, By Region - Industry Forecast 2025-2032 |
2023 年,全球人工智慧(AI) 平台市場規模預估為113 億美元,預測期內(2025-2032 年)複合年成長率為23.9%,從2024 年的140 億美元增至2032 年的777.5 億美元。
在持續的技術創新和領先科技公司的大量投資的推動下,全球人工智慧平台市場正在經歷一場轉型演變。谷歌推出的突破性多模態人工智慧模型 Gemini 體現了這一趨勢,並致力於提高汽車、醫療保健、零售、金融和製造等多個領域的人工智慧能力。此外,麥當勞 2020 計畫等對人工智慧的策略性投資凸顯了人們對人工智慧改善客戶體驗的能力的日益認知。隨著求職者積極宣傳他們的專業知識,對具有人工智慧技能的專業人士的需求正在迅速增加。黑莓的 Cylance AI 平台透過分析使用者情境以增強威脅評估(尤其是在網路安全方面),進一步展示了人工智慧不斷擴大的作用。隨著資料來源激增,人工智慧自動化和洞察力的潛力仍然巨大,預計企業應用程式和安全解決方案的市場將強勁成長。
Global Artificial Intelligence (AI) Platform Market size was valued at USD 11.3 billion in 2023 and is poised to grow from USD 14.0 billion in 2024 to USD 77.75 billion by 2032, growing at a CAGR of 23.9% during the forecast period (2025-2032).
The global AI platform market is undergoing a transformative evolution driven by relentless innovation and substantial investments from major tech companies. Google's launch of Gemini, a groundbreaking multimodal AI model, exemplifies this trend and signals a commitment to advancing AI capabilities across various sectors, including automotive, healthcare, retail, finance, and manufacturing. Additionally, strategic investments in AI, like McDonald's 2020 initiative, highlight the increasing recognition of AI's ability to enhance customer experiences. The demand for AI-skilled professionals is surging, as job seekers actively showcase their expertise. BlackBerry's Cylance AI Platform further illustrates AI's expanding role, particularly in cybersecurity by analyzing user context for enhanced threat assessment. As data sources proliferate, AI's potential for automation and insights remains vast, promising robust market growth in enterprise applications and security solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (Ai) Platform market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence (Ai) Platform Market Segmental Analysis
Global Artificial Intelligence (AI) Platform Market is segmented by Component, Deployment Mode, Organization Size, Application, End User and region. Based on Component, the market is segmented into Software and Services. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Organization Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on Application, the market is segmented into Forecast and Prescriptive Models, Chat Bots, Speech Recognition, Text Recognition and Others. Based on End User, the market is segmented into Manufacturing, Healthcare, Banking Financial Services and Insurance, Research and Academia Transportation, Retail and Ecommerce and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Artificial Intelligence (Ai) Platform Market
A key driver propelling the Global Artificial Intelligence (AI) Platform market is the increasing focus on data-driven decision-making across diverse sectors. Organizations are increasingly recognizing the value of leveraging data to gain insights into consumer behavior, current market trends, and enhance operational efficiencies. Consequently, the adoption of AI platforms is becoming essential, as they facilitate the collection, processing, and analysis of vast amounts of data that underpin informed decision-making processes. This shift towards data-centric strategies underscores the critical role of AI in enabling businesses to navigate the complexities of the modern marketplace successfully.
Restraints in the Global Artificial Intelligence (Ai) Platform Market
One of the primary factors hindering the growth of the global artificial intelligence (AI) platform market is the growing apprehension surrounding data privacy and security. Organizations often handle highly sensitive information, making them susceptible to data breaches and unauthorized access. As digital intelligence platforms become more prevalent, they will necessitate the implementation of stringent data protection regulations and security measures, particularly in regions with rigorous data privacy legislations. This challenge poses significant barriers for companies seeking to leverage AI technologies while ensuring compliance with evolving security standards and maintaining the trust of consumers in an increasingly digital landscape.
Market Trends of the Global Artificial Intelligence (Ai) Platform Market
The Global Artificial Intelligence (AI) Platform market is increasingly gravitating towards real-time analytics, reflecting a significant trend where businesses prioritize instant, data-driven decision-making capabilities. Organizations are recognizing the essential role of digital intelligence systems that facilitate swift access to analytics, allowing them to respond proactively to dynamic market changes, shifting consumer preferences, and emerging trends. This demand for real-time insights is driving innovation within AI platforms, pushing vendors to enhance their offerings with advanced machine learning and predictive analytics features. Consequently, companies are harnessing these capabilities to achieve a competitive edge, ultimately propelling market growth as they adapt to an ever-evolving digital landscape.