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1336662

全球人工智能市场 - 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个工作天内

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简介目录

市场概况

全球人工智能市场在2022年达到1391亿美元，预计到2030年将达到13.99亿美元，2023-2030年预测期间年复合成长率为33.5%。

各种人工智能研究人员创造了先进的算法和技术，例如深度学习和强化学习。医疗保健、金融、零售和製造等各个行业的人工智能市场需求不断增加，这些行业已经认识到人工智能的潜力，并开始将人工智能解决方案整合到其运营中。这种广泛的采用创造了一个积极的反馈循环，推动了人工智能技术的进一步投资和进步。

亚太地区见证了人工智能初创企业的崛起，企业家的推动导致该地区的份额超过一半。这些初创公司正在医疗保健、金融、电子商务和製造等各个行业的人工智能领域开发各种创新。例如，2023 年 6 月 26 日，印度 IT 领导者对其 IT 基础设施为人工智能技术做好的准备充满信心，85% 的人相信其能够满足人工智能的需求。调查还显示，印度各行业的人工智能采用率正在上升，超过 90% 的 IT 决策者计划在各种功能中使用人工智能。

市场动态

政府采用人工智能的倡议

各国政府将人工智能视为经济发展和创新的关键驱动力。随着各行业大力投入人工智能研发，政府旨在为企业采用人工智能技术创造有利环境，吸引投资，促进人工智能驱动产业的发展。

例如，印度教育、技能发展和创业联盟部长 Shri Dharmendra Pradhan 于 2023 年 7 月 15 日世界青年技能日启动了印度人工智能 2.0，这是一项关于人工智能的免费在线培训计划。该项目是 Skill India 和 GUVI 的联合倡议，旨在为年轻人提供前沿技能，并获得了 NCVET 和 IIT Madras 的认可。

Shri Pradhan 强调了印度语言技术课程对于打破语言障碍并确保技术教育包容性的重要性，特别是在农村地区。他讚扬了印度的技术进步，例如数字支付的成功，并讚扬了 GUVI 在教育民众掌握尖端技术方面所做的努力。 GUVI 的该项目提供九种印度语言的人工智能学习，使其在全国范围内都能使用。

自主人工智能的采用率上升

自主人工智能驾驶员有潜力显着改善人为错误并消除干扰。此外，它们还可以优化交通流量、减少拥堵并提高燃油效率，从而形成更可持续的交通系统。这些因素将增加人工智能市场的需求。

华为推出自动驾驶网络（ADN），作为网络和运维智能的协同演进。例如，2023年7月17日，ADN基于三层开放架构，融合了云智能、网络智能和NE（网元）智能。该架构旨在帮助电信运营商加速数字化转型，实现有效的ADN。

过度依赖人工智能係统的风险

在没有人类监督的情况下盲目依赖人工智能係统可能会导致过度依赖和潜在的偏见。不受控制的自动化可能会导致歧视性结果长期存在，或者在没有适当人为干预的情况下做出关键决策。开发和实施人工智能技术可能成本高昂，使得较小的组织或发展中地区更难获得这些技术。

机器可以处理大量文本数据并做出预测，但它们很难理解人类语言的复杂性。他们可能无法掌握比喻语言并且难以理解上下文。对于人工智能来说，理解惯用语和文化参考也可能具有挑战性。

COVID-19 影响分析

COVID-19 加速了自动化和机器人技术在各行业的采用。人工智能驱动的机器人已被部署来执行消毒、运送医疗用品和监控安全协议遵守情况等任务。自动化还应用于製造和物流等行业，以最大限度地减少人际接触并确保业务连续性。

此次大流行产生了与 COVID-19 病例、检测和疫苗接种相关的大量数据。人工智能在分析这些数据以识别趋势、做出预测并为医疗机构和政策制定者的决策提供信息方面发挥了重要作用。这场大流行提高了人工智能使用的重要性，包括追踪和生成医疗保健算法。

俄罗斯-乌克兰战争影响

俄罗斯和乌克兰之间的政治危机可能会扰乱人工智能领域的区域合作。由于外交关係紧张和地缘政治因素，联合研究项目、资源共享和跨境伙伴关係等合作方式可能会面临延误。这种衝突可能会给市场带来不确定性，从而影响人工智能的采用和投资决策。企业可能会犹豫是否投资人工智能技术或与公司建立合作伙伴关係。

这些衝突可能会引发对该地区稳定与安全的担忧。考虑投资人工智能技术的企业可能会认为在受衝突影响地区运营存在更高的风险。地缘政治风险包括供应链潜在中断、知识产权盗窃、政治干预和监管不确定性等因素。这些风险可能会让企业在分配资源和投资于衝突地区公司内部或与衝突地区公司合作的人工智能项目方面犹豫不决。

人工智能影响分析

人工智能 (AI) 一直在给各行各业带来革命性的变化，并改变全球企业的运营方式。人工智能对人工智能市场本身的影响是深远的，影响着其增长、采用和技术进步。自动化是人工智能采用的关键驱动因素之一。人工智能驱动的自动化解决方案帮助企业简化运营、降低成本并提高生产力。这反过来又推动了人工智能市场的增长，特别是在寻求优化流程的行业中。

人工智能对市场的影响包括对道德和监管考虑的日益关注。随着人工智能变得越来越普遍，对数据隐私、偏见和透明度的担忧促使人工智能道德框架和法规的发展，从而塑造了人工智能市场格局。

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

13. Appendix

13.1. About Us and Services
13.2. Contact Us

02-2729-4219

+886-2-2729-4219

License/价格

全球人工智能市场 - 2023-2030

Global Artificial Intelligence Market - 2023-2030

市场概况

市场动态

COVID-19 影响分析

目录

第 1 章：方法和范围

第 2 章：定义和概述

第 3 章：执行摘要

第 4 章：动力学

第 5 章：行业分析

第 6 章：COVID-19 分析

第 7 章：按组件

第 8 章：按技术

第 9 章：最终用户

第 10 章：按地区

第 11 章：竞争格局

第 12 章：公司简介

第 13 章：附录