세계의 인공지능(AI) 플랫폼 시장 규모는 2023년 113억 달러로 평가되었고, 예측 기간(2025-2032) 동안 23.9%의 연평균 복합 성장률(CAGR)로 2024년 140억 달러에서 2032년 777억 5,000만 달러로 성장할 것으로 예상됩니다.
세계 AI 플랫폼 시장은 끊임없는 기술 혁신과 주요 하이테크 기업의 막대한 투자로 혁신적으로 진화하고 있으며, 구글의 획기적인 멀티모달 AI 모델인 Gemini의 발표는 이러한 추세를 잘 보여주고 있으며, 자동차, 헬스케어, 리테일, 금융, 제조 등 다양한 분야에서 AI 역량을 강화하기 위해 노력하고 있음을 보여줍니다. 금융, 제조 등 다양한 분야에서 AI 능력 향상에 힘쓰고 있음을 보여줍니다. 또한 맥도날드의 2020 비전과 같은 AI에 대한 전략적 투자는 AI가 고객 경험을 향상시킬 수 있는 능력에 대한 인식이 높아지고 있음을 보여줍니다. 구직자들이 자신의 전문성을 적극적으로 어필하는 가운데, AI 기술을 가진 전문가에 대한 수요가 급증하고 있습니다. 블랙베리의 Cylance AI 플랫폼은 특히 사이버 보안 분야에서 위협 평가를 강화하기 위해 사용자의 컨텍스트를 분석함으로써 AI의 역할이 확대되고 있음을 보여줍니다. 데이터 소스가 급증하는 가운데, AI의 자동화 및 인사이트에 대한 잠재력은 여전히 크며, 기업 용도 및 보안 솔루션의 견고한 시장 성장이 예상됩니다.
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.