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市場調查報告書

商品編碼

1336662

全球人工智慧市場 - 2023-2030

Global Artificial Intelligence Market - 2023-2030

出版日期: 2023年08月22日 | 出版商:

DataM Intelligence | 英文 181 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

市場概況

全球人工智慧市場在2022年達到1391億美元，預計到2030年將達到13.99億美元，2023-2030年預測期間年複合成長率為33.5%。

各種人工智慧研究人員創造了先進的算法和技術，例如深度學習和強化學習。醫療保健、金融、零售和製造等各個行業的人工智慧市場需求不斷增加，這些行業已經認知到人工智慧的潛力，並開始將人工智慧解決方案整合到其營運中。這種廣泛的採用創造了一個積極的反饋循環，推動了人工智慧技術的進一步投資和進步。

亞太地區見證了人工智慧初創企業的崛起，企業家的推動導致該地區的佔有率超過一半。這些初創公司正在醫療保健、金融、電子商務和製造等各個行業的人工智慧領域開發各種創新。例如，2023 年 6 月 26 日，印度 IT 領導者對其 IT 基礎設施為人工智慧技術做好的準備充滿信心，85% 的人相信其能夠滿足人工智慧的需求。調查還顯示，印度各行業的人工智慧採用率正在上升，超過 90% 的 IT 決策者計劃在各種功能中使用人工智慧。

市場動態

政府採用人工智慧的舉措

各國政府將人工智慧視為經濟發展和創新的關鍵驅動力。隨著各行業大力投入人工智慧研發，政府旨在為企業採用人工智慧技術創造有利環境，吸引投資，促進人工智慧驅動產業的發展。

例如，印度教育、技能發展和創業聯盟部長 Shri Dharmendra Pradhan 於 2023 年 7 月 15 日世界青年技能日啟動了印度人工智慧 2.0，這是一項關於人工智慧的免費線上培訓計劃。該項目是 Skill India 和 GUVI 的聯合計劃，旨在為年輕人提供前沿技能，並獲得了 NCVET 和 IIT Madras 的認可。

Shri Pradhan 強調了印度語言技術課程對於打破語言障礙並確保技術教育包容性的重要性，特別是在農村地區。他讚揚了印度的技術進步，例如數位支付的成功，並讚揚了 GUVI 在教育民眾掌握尖端技術方面所做的努力。 GUVI 的該項目提供九種印度語言的人工智慧學習，使其在全國範圍內都能使用。

自主人工智慧的採用率上升

自主人工智慧駕駛員有潛力顯著改善人為錯誤並消除乾擾。此外，它們還可以最佳化交通流量、減少堵塞並提高燃油效率，從而形成更永續的交通系統。這些因素將增加人工智慧市場的需求。

華為推出自動駕駛網路（ADN），作為網路和運維智慧的協同演進。例如，2023年7月17日，ADN基於三層開放架構，融合了雲智慧、網路智慧和NE（網元）智慧。該架構旨在幫助電信營運商加速數位化轉型，實現有效的ADN。

過度依賴人工智慧系統的風險

在沒有人類監督的情況下盲目依賴人工智慧系統可能會導致過度依賴和潛在的偏見。不受控制的自動化可能會導致歧視性結果長期存在，或者在沒有適當人為干涉的情況下做出關鍵決策。開發和實施人工智慧技術可能成本高昂，使得較小的組織或發展中地區更難獲得這些技術。

機器可以處理大量文本數據並做出預測，但它們很難理解人類語言的複雜性。他們可能無法掌握比喻語言並且難以理解上下文。對於人工智慧來說，理解慣用語和文化參考也可能具有挑戰性。

COVID-19 影響分析

COVID-19 加速了自動化和機器人技術在各行業的採用。人工智慧驅動的機器人已被部署來執行消毒、運送醫療用品和監控安全協議遵守情況等任務。自動化還應用於製造和物流等行業，以最大限度地減少人際接觸並確保業務連續性。

此次大流行產生了與 COVID-19 病例、檢測和疫苗接種相關的大量數據。人工智慧在分析這些數據以識別趨勢、做出預測並為醫療機構和政策制定者的決策提供資訊方面發揮了重要作用。這場大流行提高了人工智慧使用的重要性，包括追踪和生成醫療保健算法。

俄羅斯-烏克蘭戰爭影響

俄羅斯和烏克蘭之間的政治危機可能會擾亂人工智慧領域的區域合作。由於外交關係緊張和地緣政治因素，聯合研究項目、資源共享和跨境夥伴關係等合作方式可能會面臨延誤。這種衝突可能會給市場帶來不確定性，從而影響人工智慧的採用和投資決策。企業可能會猶豫是否投資人工智慧技術或與公司建立合作夥伴關係。

這些衝突可能會引發對該地區穩定與安全的擔憂。考慮投資人工智慧技術的企業可能會認為在受衝突影響地區營運存在更高的風險。地緣政治風險包括供應鏈潛在中斷、知識產權盜竊、政治干涉和監管不確定性等因素。這些風險可能會讓企業在分配資源和投資於衝突地區公司內部或與衝突地區公司合作的人工智慧項目方面猶豫不決。

人工智慧影響分析

人工智慧 (AI) 一直在給各行各業帶來革命性的變化，並改變全球企業的營運方式。人工智慧對人工智慧市場本身的影響是深遠的，影響著其成長、採用和技術進步。自動化是人工智慧採用的關鍵促進因素之一。人工智慧驅動的自動化解決方案幫助企業簡化營運、降低成本並提高生產力。這反過來又推動了人工智慧市場的成長，特別是在尋求最佳化流程的行業中。

人工智慧對市場的影響包括對道德和監管考慮的日益關注。隨著人工智慧變得越來越普遍，對數據隱私、偏見和透明度的擔憂促使人工智慧道德框架和法規的發展，從而塑造了人工智慧市場格局。

Market Overview

Global Artificial Intelligence Market reached US$ 139.1 billion in 2022 and is expected to reach US$ 1,399.0 million by 2030, growing with a CAGR of 33.5% during the forecast period 2023-2030.

Various AI researchers led to the creation of advanced algorithms and techniques, such as deep learning and reinforcement learning. The AI market demand increases from various sectors, including healthcare, finance, retail and manufacturing, which have recognized the potential of AI and started integrating AI solutions into their operations. This widespread adoption has created a positive feedback loop, driving further investment and advancements in AI technologies.

Asia-Pacific witnessed a rise in AI startups, which is fueled by entrepreneurs leading to a regional share of more than half. These startups are developing various innovations in the field of AI across various industries that include healthcare, finance, e-commerce and manufacturing. For instance, On 26 Jun 2023, Indian IT leaders are highly confident in the readiness of their IT infrastructure for AI technology, with 85% believing it can meet the demands of AI. The survey also reveals that AI adoption is on the rise across industries in India, with over 90% of IT decision-makers planning to use AI in various functions.

Market Dynamics

Government Initiatives for Adoption of AI

Governments witnesses AI as a key driver of economic development and innovation. As various industries heavily invest in AI research and development, governments aim to create a conducive environment for businesses to adopt AI technologies, attract investments and foster the growth of AI-driven industries.

Union Minister of Education and Skill Development and Entrepreneurship (India), Shri Dharmendra Pradhan, launched AI for India 2.0, For instance, On 15 July 2023, a free online training program on Artificial Intelligence, on World Youth Skills Day. The program, a joint initiative of Skill India and GUVI aims to provide frontier skills to the youth and is accredited by NCVET and IIT Madras.

Shri Pradhan emphasized the importance of technology courses in Indian languages to break language barriers and ensure inclusivity in technology education, particularly in rural areas. He praised India's technological advancements, such as the success of digital payments and commended GUVI for their efforts to educate the population in cutting-edge technologies. The program by GUVI offers AI learning in nine Indian languages, making it accessible across the nation.

Rise in Adoption of Autonomous Artificial Intelligence

Autonomous AI drivers have the potential to significantly improve human errors and eliminate distractions. Additionally, they also can optimize traffic flow, reduce congestion and enhance fuel efficiency, leading to a more sustainable transportation system. These factors will increase the demand for the AI market.

Huawei has introduced the Autonomous Driving Network (ADN) as a collaborative evolution of network and O&M intelligence. For instance, on 17 July 2023, The ADN is based on a three-layered open architecture that incorporates cloud intelligence, network intelligence and NE (Network Element) intelligence. This architecture aims to enable telecom operators to accelerate their digital transformation and achieve effective ADN.

Risks of Overreliance on AI Systems

Blindly relying on AI systems without human oversight can lead to overreliance and potential biases. Unchecked automation may perpetuate discriminatory outcomes or make critical decisions without appropriate human intervention. Developing and implementing AI technologies can be costly, making them less accessible to smaller organizations or developing regions.

Machines can process large amounts of text data and make predictions, but they struggle with understanding the complexities of human language. They may not grasp figurative language and struggle with context. Understanding idiomatic expressions and cultural references can also be challenging for AI.

COVID-19 Impact Analysis

COVID-19 has accelerated the adoption of automation and robotics in various industries. AI-powered robots have been deployed for tasks such as disinfection, delivery of medical supplies and monitoring compliance with safety protocols. Automation has also been utilized in industries like manufacturing and logistics to minimize human contact and ensure business continuity.

The pandemic has generated massive amounts of data related to COVID-19 cases, testing and vaccination. AI has been instrumental in analyzing this data to identify trends, make predictions and inform decision-making by healthcare authorities and policymakers. The pandemic raised the importance of AI usage including tracing and also generating algorithms for health care.

Russia-Ukraine War Impact

Political crises between Russia and Ukraine could disturb regional collaboration in the field of AI. Collaborative methods like joint research projects, sharing of resources and cross-border partnerships, may face delays due to strained diplomatic relations and geopolitical factors. The conflict can create uncertainty in the market, which could impact AI adoption and investment decisions. Businesses may hesitate to invest in AI technologies or establish partnerships with companies.

These conflicts may raise concerns about the stability and security of the region. Businesses considering investments in AI technologies may perceive higher risks associated with operating in conflict-affected areas. Geopolitical risks include factors like potential disruptions to supply chains, intellectual property theft, political interference and regulatory uncertainties. Such risks can make businesses hesitant to allocate resources and invest in AI initiatives within or in partnership with companies based in the conflict zone.

AI Impact Analysis

Artificial Intelligence (AI) has been revolutionizing industries and transforming the way businesses operate across the globe. The impact of AI on the AI market itself has been profound, shaping its growth, adoption and technological advancements. Automation is one of the key drivers of AI adoption. AI-powered automation solutions have helped businesses streamline operations, reduce costs and increase productivity. This, in turn, has fueled the growth of the AI market, especially in industries seeking to optimize processes.

The impact of AI on the market includes an increasing focus on ethical and regulatory considerations. As AI becomes more pervasive, concerns about data privacy, bias and transparency have prompted the development of AI ethics frameworks and regulations that shape the AI market landscape.

Segment Analysis

The global artificial intelligence market is segmented based on component, technology, end-user and region.

Advancements in AI have Revolutionized Virtual Assistants

Integration of AI with other advanced technology such as natural language processing, computer vision and sentiment analysis has expanded its capabilities for virtual assistants. Advancement in technology in virtual assistance which performs various tasks such as generating reports, analyzing data and recognizing the emotions of an individual. The growing advancements are expected to create future growth prospects for the segment-leading it to cover more than 33.3% in the forecast period.

The rise in the advancement of artificial intelligence has led to growth in the development of virtual assistants Call Annie, For instance, On 26 April 2023, an AI-powered chatbot that offers users an always-available virtual assistant. These chatbots are capable of performing various tasks and improving human experiences in areas such as language learning, customer service and disease diagnosis.

Geographical Penetration

Rise in Research and Development Boost the Growth of AI in Asia Pacific

Asia-Pacific witnessed a large number of research institutes and leading universities in countries like China, India and Japan. As they play a vital role in driving advancements in AI technology leading these countries to contribute more than 65.5% in the region. Collaboration between various institutes boosts the growth and development of the artificial intelligence market.

China has issued new regulations for generative artificial intelligence (AI), making it one of the first countries to provide guidelines for this technology. For instance, On 14 July 2023, The Chinese government encourages the innovative use of generative AI and supports the development of secure and trustworthy infrastructure. The rules also urge platforms to contribute to the formulation of international standards for generative AI.

Competitive Landscape

The major global players include AT and T Inc., Google Inc, Facebook, Inc., IBM Corporation., Apple Inc., Intel Corporation., Salesforce., Ayasdi Inc., Nuance Communication., Digital Reasoning Systems, Inc.

Why Purchase the Report?

To visualize the global artificial intelligence market segmentation based on component, technology, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of artificial intelligence market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as Excel consisting of key products of all the major players.

The global artificial intelligence market report would provide approximately 61 tables, 66 figures and 181 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Technology
3.3. Snippet by End-User
3.4. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Government Initiatives for Adoption of AI
  - 4.1.1.2. Rise in Adoption of Autonomous Artificial Intelligence
- 4.1.2. Restraints
  - 4.1.2.1. Risks of Overreliance on AI Systems
  - 4.1.2.2. Lack of Interpretability
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Hardware *
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Software
7.4. Services
7.5. Others

8. By Technology

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 8.1.2. Market Attractiveness Index, By Technology
8.2. Virtual Assistance *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Machine Learning
8.4. Computer Vision
8.5. Natural Language Processing (NLP)
8.6. Voice Recognition
8.7. Others

9. By End-User

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.1.2. Market Attractiveness Index, By End-User
9.2. Industrial *
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. IT & Telecom
9.4. Healthcare
9.5. Retail
9.6. BFSI
9.7. Automotive
9.8. Advertising and Media
9.9. Others

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.6.1. U.S.
  - 10.2.6.2. Canada
  - 10.2.6.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.6.1. Germany
  - 10.3.6.2. UK
  - 10.3.6.3. France
  - 10.3.6.4. Italy
  - 10.3.6.5. Russia
  - 10.3.6.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.6.1. Brazil
  - 10.4.6.2. Argentina
  - 10.4.6.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.6.1. China
  - 10.5.6.2. India
  - 10.5.6.3. Japan
  - 10.5.6.4. Australia
  - 10.5.6.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. AT and T Inc. *
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. Google Inc
12.3. Facebook, Inc.
12.4. IBM Corporation
12.5. Apple Inc.
12.6. Intel Corporation
12.7. Salesforce
12.8. Ayasdi Inc.
12.9. Nuance Communication
12.10. Digital Reasoning Systems, Inc

LIST NOT EXHAUSTIVE