市场调查报告书
商品编码
1623802
人工智慧 (AI) 平台市场规模、份额、成长分析,按组件、部署模式、组织规模、地区 - 产业预测,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) 平台市场规模预估为113 亿美元,预测期内(2025-2032 年)复合年增长率为23.9%,从2024 年的140 亿美元增至2032 年的777.5 亿美元。
在持续的技术创新和领先科技公司的大量投资的推动下,全球人工智慧平台市场正在经历一场转型演变。谷歌推出的突破性多模态人工智慧模型 Gemini 体现了这一趋势,并致力于提高汽车、医疗保健、零售、金融和製造等多个领域的人工智慧能力。此外,麦当劳 2020 计画等对人工智慧的策略性投资凸显了人们对人工智慧改善客户体验的能力的日益认识。随着求职者积极宣传他们的专业知识,对具有人工智慧技能的专业人士的需求正在迅速增加。黑莓的 Cylance AI 平台透过分析使用者情境以增强威胁评估(尤其是在网路安全方面),进一步展示了人工智慧不断扩大的作用。随着资料来源激增,人工智慧自动化和洞察力的潜力仍然巨大,预计企业应用程式和安全解决方案的市场将强劲成长。
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.