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市場調查報告書
商品編碼
1690845
人工智慧 -市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）Artificial Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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簡介目錄
預計預測期內人工智慧市場將以 31.22% 的複合年成長率成長。
人工智慧 (AI)，尤其是電腦視覺和機器學習 (ML)，正在改變工業格局。由於深度學習和資料驅動人工智慧的突破，人工智慧市場正在全球擴張，而機器人獲得自主權以在全球市場競爭的需求預計將推動人工智慧產品和服務的採用。
關鍵亮點
- 近年來，數位科技和網路的應用不斷擴大，為全球人工智慧產業的擴張做出了巨大貢獻。各行各業的技術突破，往往離不開科技巨頭大規模的研發投入。
- 預計由基於人工智慧的機器學習技術支援的預測分析解決方案的擴展將在預測期內推動人工智慧市場的發展。許多最終用戶公司在全球範圍內使用預測模型進行工業規劃和成長。
- 網際網路的廣泛使用和新技術的興起導致全球產生的資料量呈指數級成長。物聯網、工業 4.0 和 5G 等技術正在推動人工智慧的發展——關鍵資料將來自技術突破所產生的大量資料。
- 例如，人工智慧使公共部門能夠將流程、人員和服務在線化，從而刺激地方、區域和國家政府採用人工智慧。在短短幾個月內，世界各國政府已經學會使用人工智慧作為對抗病毒的武器。這包括教育公眾和篩檢患者以追蹤和追蹤他們的接觸者。
- 無論是 IT 問題、人力資源請求還是有關公司支出政策的問題，員工都需要快速的幫助才能在「隨時隨地工作」的世界中提高工作效率。傳統服務台缺乏規模和速度，無法為混合員工提供全天候即時協助。
人工智慧市場趨勢
預計雲端基礎應用程式和服務的日益普及將推動市場成長
- 雲端基礎的解決方案是當今數位環境的重要組成部分。多重雲端營運的日益成長的趨勢以及對雲端基礎的智慧服務日益成長的需求正在推動所調查市場的需求。新興的人工智慧 (AI) 技術以獨特的方式為雲端運算增加了價值，並使其更有價值。這方面對於提高整體流程的可行性和採用新技術是必要的。
- 人工智慧軟體也有助於彌合雲端運算與最新突破之間的差距。它也有助於滿足新興新興企業的需求。據 IBM 稱，到 2022 年，25% 的受訪者將使用多重雲端來利用各種應用服務，包括 AI/ML、巨量資料分析、商業智慧和物聯網。
- 持續的營運和基礎設施需求正在推動對混合運算模型的需求，以降低長期成本、安全性和可擴展性。為了擴展和管理 IT，組織正在投資跨越私有、公有和邊緣環境的混合公有公共雲端部署模式。例如，甲骨文於2023年2月宣布將在沙烏地阿拉伯建立其第三個公共雲端，以滿足快速成長的雲端服務需求。新的雲端區域位於利雅德，是甲骨文 15 億美元投資計畫的一部分，旨在增強其在該國的雲端基礎設施能力。
- 分析先驅 SAS 與 Moro Hub 合作，利用 Moro Hub 領先的雲端服務為杜拜的企業提供基於人工智慧的解決方案，加速他們的數位轉型之旅。 2022 年 7 月，SAS 宣布與杜拜電力和水務局的數位部門 Digital Dewa 的一個部門 Molo Hub 合作。作為新協議的一部分，SAS 將在單一平台上採用 Moro Hub 的多種雲端服務，使其資料管理服務更加靈活、可擴展和安全。
- 此外，由於其可擴展性、提高生產力和降低成本等優勢，基於雲端的解決方案在金融服務、電子商務和工業等各個行業中越來越受歡迎。
- 雲端運算在 3D 列印等應用領域的使用，包括外包 3D 原型、組件和產品，正在迅速成長。 3D列印製造商的新平台也在推動雲端的擴張。金屬和碳纖維 3D 列印機製造商 Markforged 最近宣布推出工業 3D 列印軟體平台 Digital Forge。該平台旨在連接目前全球運作的數千個 Markforged 系統。
預計北美將佔據較大的市場佔有率
- 美國擁有來自世界各地的頂尖科學家和企業家，擁有加速北美人工智慧發展的知名研究中心，以及由聯邦政府對最尖端科技的戰略投資所支持的強大的創新生態系統。
- 預計該行業將受益於美國政府的許多與人工智慧相關的舉措。例如，2022年12月，美國國家科學基金會與美國農業部、美國國防安全保障部、科學技術美國、國家標準與技術實驗室、美國食品與農業實驗室以及美國負責研究與技術的副部長辦公室合作，啟動了「透過能力建設擴大人工智慧創新規模，第二部分」計畫。
- ExpandAI 致力於透過能力建構計劃和 NSF主導的國家人工智慧研究機構生態系統內的合作，大幅增加來自代表性不足群體的教育機構在人工智慧教育、研究和勞動力發展方面的參與度。
- 此外，美國正在努力製定國家人工智慧（AI）舉措，舉措計劃以六大戰略支柱為中心：這些目標包括推進值得信賴的人工智慧、加強人工智慧創新、利用新技術加強現有基礎設施、透過人工智慧開發新的教育和培訓機會、鼓勵私營和聯邦部門使用人工智慧改進現有系統，以及營造支持人工智慧進一步發展的國際環境。
- 由於加拿大頂尖的研究人員、充滿活力的新興企業、開放的移民規則、慷慨的研發稅收補貼以及進入國際市場的機會，Google、Facebook 和 Uber 等大公司都在加拿大建立了卓越實驗室，並與全國各地的眾多機構合作。加拿大政府透過加拿大高級研究中心（CIFAR）資助了多項舉措，以展示加拿大在人工智慧領域的領導地位。
- 此外，到2022年11月，人工智慧（AI）已成為最具革命性的技術領域之一。加拿大是全球創新領導者，創造和利用人工智慧等技術為所有加拿大人創造更美好的未來。據創新、科學和工業部長稱，政府已向總部位於溫哥華的 Sanctuary Cognitive Systems Corporation 公司投資 3,000 萬美元，該公司開發先進的人工智慧機器人技術。戰略創新基金正在利用這筆資金資助一項價值 1.208 億美元的計劃，以打造第一個具有類似人類智慧和能力的通用機器人。加拿大政府持續支持擁有豐富智慧財產權的公司，因為它致力於讓加拿大人能夠充分發揮他們的想法。
人工智慧產業概覽
人工智慧市場高度細分，主要參與者包括 IBM 公司、英特爾公司、微軟公司、Google有限責任公司（Alphabet Inc.）和亞馬遜網路服務公司。市場參與企業正在採用夥伴關係、創新、併購等策略來增強其產品供應並獲得永續的競爭優勢。
- 2024 年 3 月—IBM 宣布擴大在印度的技術實驗室容量，強調其在激烈競爭環境中加強業務的決心。該公司將致力於幫助客戶充分利用人工智慧、混合雲端和網路安全技術的潛力。
- 2024 年 1 月－Oracle 宣佈在 Oracle 雲端基礎架構 (OCI) 上廣泛提供生成式人工智慧服務。該服務包含許多新功能，旨在簡化企業如何利用生成式人工智慧的尖端功能。 OCI 生成式人工智慧服務是完全託管的，並順利整合了來自 Cohere 和 Meta Llama 2 的大規模語言模型 (LLM)，以滿足各種業務需求。
其他福利
- Excel 格式的市場預測 (ME) 表
- 3個月的分析師支持
目錄
第1章 引言
- 研究假設和市場定義
- 研究範圍
第2章調查方法
第3章執行摘要
第4章 市場洞察
- 市場概覽
- 產業吸引力-波特五力分析
- 供應商的議價能力
- 買家的議價能力
- 新進入者的威脅
- 替代品的威脅
- 競爭對手之間的競爭
- 技術簡介
- 機器學習
- 電腦視覺
- 自然語言處理（NLP）
- 情境感知計算及其他技術
第5章市場動態
- 市場促進因素
- 對預測分析解決方案的需求不斷增加
- 技術進步導致資料產生量大幅增加
- 雲端基礎的應用程式和服務的採用率不斷提高
- 改善消費者體驗的需求不斷增加
- 市場問題
- 初始成本高且擔心勞動替代
- 缺乏熟練的人工智慧工程師
- 資料隱私問題
- 主要使用案例/應用
- 銷售和行銷
- 物流管理
- 自動化客戶服務
- 自動化威脅情報
- IT自動化等
- COVID-19對市場的影響
第6章市場區隔
- 按組件
- 硬體
- 軟體和服務
- 按最終用戶產業
- BFSI
- 時尚與零售
- 醫學生命科學
- 製造業
- 車
- 航太與國防
- 建造
- 其他
- 按地區
- 北美洲
- 美國
- 加拿大
- 歐洲
- 英國
- 德國
- 法國
- 亞洲
- 中國
- 印度
- 日本
- 韓國
- 澳洲和紐西蘭
- 拉丁美洲
- 中東和非洲
- 北美洲
第7章競爭格局
- 公司簡介
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Google LLC（Alphabet Inc.）
- Amazon Web Services Inc.（amazon.com Inc.）
- Oracle Corporation
- Salesforce Inc.
- SAP SE
- SAS Institute Inc.
- Cisco Systems Inc.
- Siemens AG
- Nvidia Corporation
- Hewlett Packard Enterprise
第8章投資分析
第9章 市場機會與未來趨勢
簡介目錄
Product Code: 72056
The Artificial Intelligence Market is expected to register a CAGR of 31.22% during the forecast period.
Artificial intelligence (AI), particularly computer vision and machine learning (ML), is transforming the landscape of industries. The artificial intelligence market is expanding globally due to breakthroughs in deep learning and data-driven AI, and the necessity to acquire robotic autonomy to compete in a global market is projected to promote the adoption of AI products and services.
Key Highlights
- In recent years, the growing use of digital technologies and the Internet considerably aided the expansion of the worldwide AI industry. Technology breakthroughs in various industries are constantly fueled by the extensive research and development investments made by tech giants.
- Expanding predictive analytics solutions based on AI-based ML technology will boost the artificial intelligence market over the forecast period. Many end-user firms are using predictive modeling worldwide for industry planning and growth.
- With increased Internet penetration and new technology, there is a tremendous increase in the amount of data created globally. AI is being encouraged by technologies such as the Internet of Things, Industry 4.0, 5G, and others-significant data results from a massive increase in data created due to technological breakthroughs.
- For example, AI enables the public sector to bring processes, people, and services online and encourages local, regional, and national governments to adopt AI. In only a few months, governments throughout the globe have learned to employ artificial intelligence as a weapon in combating the virus. This includes educating the public and screening patients to track and trace contacts.
- Employees need rapid assistance to be productive with the move to "work from anywhere," whether they have an IT problem, an HR request, or a question regarding the company's expenditure policy. Due to a lack of size or speed, traditional service desks can no longer provide round-the-clock real-time assistance to a hybrid workforce.
Artificial Intelligence Market Trends
Growth in Adoption of Cloud-based Applications and Services is Expected to Drives the Market Growth
- Cloud-based solutions are an essential component of today's digital environment. The expanding trend of multi-cloud operation and the growing need for cloud-based intelligence services drive the demand in the market under study. The latest artificial intelligence (AI) technologies add unique and increased value to cloud computing. This aspect improves overall process viability and is necessary for incorporating new technology.
- AI software can also help bridge the gap between cloud computing and modern breakthroughs. It also assists in satisfying the needs of new enterprises and startups. According to IBM, In 2022, 25 percent of respondents said they were using multi-cloud to leverage different application services like AI/ML, big data analytics, business intelligence, IoT, etc.
- The continuous operations and infrastructure requirement raises the demand for hybrid computing models to reduce long-term costs, security, and scalability. To extend and manage IT, investment in hybrid public cloud deployment models that span private, public, and edge environments has flourished. For example, in February 2023, Oracle announced it would establish a third public cloud in Saudi Arabia to address the fast-expanding demand for its cloud services. The new cloud region, located in Riyadh, is part of Oracle's projected USD 1.5 billion investment to increase cloud infrastructure capabilities in the country.
- SAS, a pioneer in analytics, entered into an arrangement with Moro Hub to leverage Moro Hub's superior cloud services to strengthen its AI-based solutions for businesses in Dubai and accelerate its journey toward digital transformation. SAS announced cooperation with Moro Hub, a branch of Dubai Electricity and Water Authority's digital arm, Digital Dewa, in July 2022 to accomplish this. As part of the new arrangement, SAS will employ Moro Hub's multiple cloud services on a single platform to increase its data management products' agility, scalability, and security.
- Furthermore, due to its benefits, such as scalability, increased productivity, and cost reduction, the cloud method is gaining popularity in various industries, such as financial services, e-commerce, industrial, and others.
- The use of cloud computing to power applications, such as 3D printing for outsourcing 3D prototypes, components, and products, is rapidly expanding. New platforms from 3D printing makers are also assisting cloud expansion. Markforged, a metal and carbon fiber 3D printer maker, recently introduced Digital Forge, an industrial 3D printing software platform. The platform is intended to connect all of the Markforged systems now in operation worldwide, which number in the thousands.
North America is Expected to Hold Significant Market Share
- The United States has a robust innovation ecosystem supported by strategic federal investments in cutting-edge technology, in addition to the presence of forward-thinking scientists and entrepreneurs who come together from around the world and renowned research centers that have accelerated the development of artificial intelligence in the North American region.
- The industry is anticipated to benefit from many US government initiatives related to AI. For instance, the Expanding AI Innovation through Capacity Building and Part II program was launched by the US National Science Foundation in December 2022 in coordination with the US Department of Agriculture, the US Department of Homeland Security, the Science and Technology Directorate, the National Institute Institute of Standards and Technology, National Institute of Food and Agriculture, and the US Department of Defense, Office of the Under Secretary of Defense for Research and Engineering.
- ExpandAI seeks to significantly increase the participation of institutions that serve underrepresented groups in artificial intelligence education, research, and workforce development through capacity-building projects and collaboration within the NSF-led National AI Research Institutes ecosystem.
- Moreover, the United States has been working to formalize the National Artificial Intelligence (AI) Initiative, which concentrates on six strategic pillars: advancing trustworthy AI, enhancing AI innovation, enhancing current infrastructure through new technologies, developing new opportunities for education and training through AI, facilitating private and federal sector utilization of AI to improve existing systems, and fostering an international environment that supports further advancements in AI.
- Major corporations like Google, Facebook, and Uber have established core research laboratories that work with numerous institutions all over Canada thanks to the country's top researchers, vibrant start-ups, open immigration rules, considerable tax subsidies for R&D, and access to international markets. The Canadian government finances several initiatives to demonstrate Canada's leadership in AI through the Canadian Institute for Advanced Research (CIFAR).
- Moreover, in November 2022, artificial intelligence (AI) was one of the most revolutionary technological fields. Canada, a worldwide innovator leader, is creating and utilizing technology like AI to help all Canadians have a better future. A USD 30 million investment has been made in Vancouver-based Sanctuary Cognitive Systems Corporation, an advanced AI and robotics business, according to the Minister of Innovation, science, and Industry. The Strategic Innovation Fund will use this funding to finance a USD 120.8 million initiative to build the first general-purpose robots with human-like intelligence that function. The Canadian government continues to support businesses with a wealth of intellectual property because it is dedicated to ensuring that Canadians can capitalize on their ideas.
Artificial Intelligence Industry Overview
The artificial intelligence market is highly fragmented, with the presence of major players like IBM Corporation, Intel Corporation, Microsoft Corporation, Google LLC (Alphabet Inc.), and Amazon Web Services Inc. Players in the market are adopting strategies such as partnerships, innovations, mergers, and acquisitions to enhance their product offerings and gain sustainable competitive advantage.
- March 2024 - IBM has announced an expansion of its technical expert laboratory capacity in India, emphasizing its commitment to bolstering businesses in a fiercely competitive landscape. The focus is on enabling clients to harness the full potential of artificial intelligence, hybrid cloud, and cybersecurity technologies.
- January 2024 - Oracle unveiled the widespread availability of its Oracle Cloud Infrastructure (OCI) Generative AI service. This service comes with new features designed to simplify how businesses harness the cutting-edge capabilities of generative AI. The OCI Generative AI service, a fully managed offering, smoothly incorporates large language models (LLMs) sourced from Cohere and Meta Llama 2, catering to a spectrum of business needs.
Additional Benefits:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
- 4.1 Market Overview
- 4.2 Industry Attractiveness - Porter's Five Forces Analysis
- 4.2.1 Bargaining Power of Suppliers
- 4.2.2 Bargaining Power of Buyers
- 4.2.3 Threat of New Entrants
- 4.2.4 Threat of Substitutes
- 4.2.5 Intensity of Competitive Rivalry
- 4.3 Technology Snapshot
- 4.3.1 Machine Learning
- 4.3.2 Computer Vision
- 4.3.3 Natural Language Processing (NLP)
- 4.3.4 Context-aware Computing and Other Technologies
5 MARKET DYNAMICS
- 5.1 Market Drivers
- 5.1.1 Increasing Demand for Predictive Analytics Solutions
- 5.1.2 Massive Growth in Data Generation due to Technological Advancements
- 5.1.3 Growth in Adoption of Cloud-based Applications and Services
- 5.1.4 Rising Demand for Enhanced Consumer Experience
- 5.2 Market Challenges
- 5.2.1 High Initial Costs and Concerns over Replacement of Human Workforce
- 5.2.2 Lack of Skilled and Expert AI Technicians
- 5.2.3 Concerns Regarding Data Privacy
- 5.3 Key Use-cases/Applications
- 5.3.1 Sales and Marketing
- 5.3.2 Logistics Management
- 5.3.3 Automated Customer Service
- 5.3.4 Automated Threat Intelligence
- 5.3.5 IT Automation, Among Others
- 5.4 Impact of COVID-19 on the Market
6 MARKET SEGMENTATION
- 6.1 By Components
- 6.1.1 Hardware
- 6.1.2 Software and Services
- 6.2 By End-user Industry
- 6.2.1 BFSI
- 6.2.2 Fashion and Retail
- 6.2.3 Healthcare and Lifesciences
- 6.2.4 Manufacturing
- 6.2.5 Automotive
- 6.2.6 Aerospace and Defense
- 6.2.7 Construction
- 6.2.8 Other End-user Industries
- 6.3 By Geography
- 6.3.1 North America
- 6.3.1.1 United States
- 6.3.1.2 Canada
- 6.3.2 Europe
- 6.3.2.1 United Kingdom
- 6.3.2.2 Germany
- 6.3.2.3 France
- 6.3.3 Asia
- 6.3.3.1 China
- 6.3.3.2 India
- 6.3.3.3 Japan
- 6.3.3.4 South Korea
- 6.3.4 Australia and New Zealand
- 6.3.5 Latin America
- 6.3.6 Middle East and Africa
- 6.3.1 North America
7 COMPETITIVE LANDSCAPE
- 7.1 Company Profiles
- 7.1.1 IBM Corporation
- 7.1.2 Intel Corporation
- 7.1.3 Microsoft Corporation
- 7.1.4 Google LLC (Alphabet Inc.)
- 7.1.5 Amazon Web Services Inc. (amazon.com Inc.)
- 7.1.6 Oracle Corporation
- 7.1.7 Salesforce Inc.
- 7.1.8 SAP SE
- 7.1.9 SAS Institute Inc.
- 7.1.10 Cisco Systems Inc.
- 7.1.11 Siemens AG
- 7.1.12 Nvidia Corporation
- 7.1.13 Hewlett Packard Enterprise
