查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1527114

2024 年量子机器学习全球市场报告

Quantum Machine Learning Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

量子机器学习市场规模预计在未来几年将呈指数级增长。 2028年，将以33.6%的复合年增长率成长至35.8亿美元。预测期内的成长动力将由对先进运算能力的偏好不断增长、对软体即服务（SaaS）模式的日益偏好、量子计算硬体和软体以及银行和金融服务领域的进步推动。快速发展。这段时期的主要趋势包括量子人工智慧技术的进步、技术的持续增强、量子演算法的改进、基于云端基础的量子运算的兴起以及量子机器学习框架的出现。

资料产生的增加预计将在短期内推动量子机器学习市场的成长。资料生成涉及创建反映现实世界资料的合成资料。连网型设备的激增、数位平台和服务的扩展以及物联网 (IoT) 技术在各行业的采用都导致了资料生成的爆炸性增长。量子机器学习演算法能够比传统演算法更有效地分析资料，从而能够更快地处理大型资料集并提取有价值的见解。例如，2024年3月，美国软体公司Edge Delta透露，2020年用户产生的资料量为64.2Zetta位元组（ZB），预计2024年终将增加到147 ZB。此外，到 2032 年，这项资料量预计将比 2027 年收集的资料增加 300 倍。因此，增加资料生成是量子机器学习市场成长的关键驱动力。

量子机器学习 (QML) 市场的领先公司正在引领量子机器学习倡议，利用量子运算的潜力来增强机器学习演算法和资料分析。与 Masu 相比，这些倡议利用量子运算的独特功能来改进机器学习演算法，并促进更有效率的资料分析、模式识别和最佳化任务。例如，2023 年 11 月，奥地利机器学习与量子运算专家联盟Quantum Connect推出了第一个奥地利量子机器学习社群。该倡议旨在培育一个活跃的社区，致力于量子机器学习应用的研究和开发，以便未来在奥地利各个工业和政府部门进行部署。

目录

第一章执行概述

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球量子机器学习市场：驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球量子机器学习市场表现：规模与成长，2018-2023
  • 全球量子机器学习市场预测：规模与成长，2023-2028 年、2033 年

第六章 市场细分

  • 全球量子机器学习市场：按组成部分、性能和预测，2018-2023、2023-2028、2033
  • 硬体
  • 软体
  • 服务
  • 全球量子机器学习市场：依部署、效能和预测划分，2018-2023、2023-2028、2033
  • 本地
  • 云端基础
  • 全球量子机器学习市场：按最终用户、实际和预测，2018-2023、2023-2028、2033
  • 医疗保健
  • 银行、金融服务和保险 (BFSI)
  • 车
  • 研究员
  • 能源和公共
  • 化学品
  • 製造业
  • 其他的

第 7 章 区域/国家分析

  • 全球量子机器学习市场：按地区、表现和预测，2018-2023、2023-2028、2033
  • 全球量子机器学习市场：按国家、表现和预测，2018-2023、2023-2028、2033

第八章亚太市场

第九章 中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第14章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章 义大利市场

第20章 西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章加拿大市场

第26章 南美洲市场

第27章 巴西市场

第28章 中东市场

第29章 非洲市场

第三十章 竞争格局及公司概况

  • 量子机器学习市场：竞争格局
  • 量子机器学习市场：公司简介
    • Google LLC
    • Microsoft Corporation
    • Alibaba Cloud
    • Amazon Web Services
    • Intel Corporation

第三十一章 其他重大及创新企业

  • Accenture plc
  • International Business Machines Corporation
  • Honeywell International Inc.
  • Fujitsu
  • Atos SE
  • PsiQuantum Corp.
  • Quantinuum Ltd.
  • Xanadu
  • Quantum Machines
  • 1QB Information Technologies Inc.
  • Multiverse Computing
  • Q-CTRL
  • Rigetti & Co LLC
  • IonQ Inc.
  • QC Ware

第32章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来展望与潜力分析

第36章附录

简介目录
Product Code: r18719

Quantum machine learning explores the convergence of quantum computing and machine learning, utilizing quantum algorithms and computing techniques to enhance the efficiency of solving complex computational problems compared to classical computers. Its objective is to apply the principles of quantum mechanics to process extensive datasets and optimize machine learning model performance.

The primary elements of quantum machine learning encompass hardware, software, and services. Hardware pertains to the physical devices and components essential for constructing and operating quantum computers. These systems are deployed through on-premise and cloud-based models across various sectors, including healthcare, BFSI, automotive, research, energy, chemical, manufacturing, among others.

The quantum machine learning market research report is one of a series of new reports from The Business Research Company that provides quantum machine learning market statistics, including the quantum machine learning industry global market size, regional shares, competitors with quantum machine learning market share, detailed quantum machine learning market segments, market trends, and opportunities, and any further data you may need to thrive in the quantum machine learning industry. These quantum machine learning market research reports deliver a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The quantum machine learning market size has grown exponentially in recent years. It will grow from $0.84 billion in 2023 to $1.12 billion in 2024 at a compound annual growth rate (CAGR) of 33.5%. The surge in the historical period is due to the heightened investments in quantum machine learning technologies, the adoption of such technologies, collaborative efforts, and increased funding.

The quantum machine learning market size is expected to see exponential growth in the next few years. It will grow to $3.58 billion in 2028 at a compound annual growth rate (CAGR) of 33.6%. The growth in the forecast period is driven by a growing demand for advanced computational capabilities, an increasing preference for software-as-a-service (SaaS) models, progress in quantum computing hardware and software, potential applications in the banking and financial services sector, and the rapid development of emerging economies. Key trends expected during this period include the advancement of quantum AI technologies, continuous technological enhancements, improved quantum algorithms, the rise of cloud-based quantum computing, and the emergence of quantum machine learning frameworks.

The increasing volume of data generation is expected to drive the growth of the quantum machine learning market in the foreseeable future. Data generation involves the creation of synthetic data that mirrors real-world data. The proliferation of connected devices, the expansion of digital platforms and services, and the adoption of IoT (Internet of Things) technologies across various industries contribute to the surge in data generation. Quantum machine learning algorithms have the capability to analyze data more efficiently than classical algorithms, enabling faster processing of large datasets and extraction of valuable insights. For example, in March 2024, Edge Delta, a US-based software company, disclosed that users had generated 64.2 Zettabytes (ZB) of data in 2020, with projections indicating an increase to 147 ZB by the end of 2024. Furthermore, by 2032, this volume is forecasted to skyrocket to 300 times higher than the data collected in 2027. Hence, the increased data generation is a key driver of the quantum machine learning market's growth.

Leading companies in the quantum machine learning (QML) market are spearheading quantum machine learning initiatives to harness the potential of quantum computing in enhancing machine learning algorithms and data analysis. These initiatives leverage the unique capabilities of quantum computing to improve machine learning algorithms, facilitating more efficient data analysis, pattern recognition, and optimization tasks compared to classical computing methods. For instance, in November 2023, Quantum Connect, an Austria-based consortium comprising machine learning and quantum computing experts, launched Austria's inaugural quantum machine learning community. The initiative aims to cultivate an active community dedicated to researching and developing quantum machine learning applications for future deployment across various Austrian industries and public administration sectors.

In January 2022, Pasqal, a Germany-based developer of neutral atom-based quantum technology, merged with Qu&Co for an undisclosed sum. This collaboration accelerates their joint efforts to gain a competitive edge through quantum computing by leveraging their complementary solutions. Qu & Co BV is a Netherlands-based developer of quantum computational software.

Major companies operating in the quantum machine learning market are Google LLC, Microsoft Corporation, Alibaba Cloud, Amazon Web Services, Intel Corporation, Accenture plc, International Business Machines Corporation, Honeywell International Inc., Fujitsu, Atos SE, PsiQuantum Corp., Quantinuum Ltd., Xanadu, Quantum Machines, 1QB Information Technologies Inc., Multiverse Computing, Q-CTRL, Rigetti & Co LLC, IonQ Inc., QC Ware, Alice & Bob, D-Wave Quantum Inc., Zapata Computing Inc., Equal1 Laboratories Ireland Limited, ProteinQure Inc.

North America was the largest region in the quantum machine learning market in 2023. The regions covered in the quantum machine learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the quantum machine learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The quantum machine learning market includes revenues earned by entities by providing services such as quantum algorithms, offering consulting services, and delivering training and cloud-based quantum computing solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The quantum machine learning market also includes sales of quantum processors, quantum gates, quantum memory, quantum interconnects, control electronics, quantum cooling systems, and classical computing interfaces. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Quantum Machine Learning Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on quantum machine learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for quantum machine learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The quantum machine learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Hardware; Software; Services
  • 2) By Deployment: On-Premise; Cloud-Based
  • 3) By End-User: Healthcare; Banking, Financial Services And Insurance (BFSI); Automotive; Researchers; Energy And Utilities; Chemical; Manufacturing; Other End-Users
  • Companies Mentioned: Google LLC; Microsoft Corporation; Alibaba Cloud; Amazon Web Services; Intel Corporation
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Quantum Machine Learning Market Characteristics

3. Quantum Machine Learning Market Trends And Strategies

4. Quantum Machine Learning Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Quantum Machine Learning Market Size and Growth

  • 5.1. Global Quantum Machine Learning Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Quantum Machine Learning Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Quantum Machine Learning Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Quantum Machine Learning Market Segmentation

  • 6.1. Global Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premise
  • Cloud-Based
  • 6.3. Global Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Healthcare
  • Banking, Financial Services And Insurance (BFSI)
  • Automotive
  • Researchers
  • Energy And Utilities
  • Chemical
  • Manufacturing
  • Other End-Users

7. Quantum Machine Learning Market Regional And Country Analysis

  • 7.1. Global Quantum Machine Learning Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Quantum Machine Learning Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Quantum Machine Learning Market

  • 8.1. Asia-Pacific Quantum Machine Learning Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Quantum Machine Learning Market

  • 9.1. China Quantum Machine Learning Market Overview
  • 9.2. China Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Quantum Machine Learning Market

  • 10.1. India Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Quantum Machine Learning Market

  • 11.1. Japan Quantum Machine Learning Market Overview
  • 11.2. Japan Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Quantum Machine Learning Market

  • 12.1. Australia Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Quantum Machine Learning Market

  • 13.1. Indonesia Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Quantum Machine Learning Market

  • 14.1. South Korea Quantum Machine Learning Market Overview
  • 14.2. South Korea Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Quantum Machine Learning Market

  • 15.1. Western Europe Quantum Machine Learning Market Overview
  • 15.2. Western Europe Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Quantum Machine Learning Market

  • 16.1. UK Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Quantum Machine Learning Market

  • 17.1. Germany Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Quantum Machine Learning Market

  • 18.1. France Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Quantum Machine Learning Market

  • 19.1. Italy Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Quantum Machine Learning Market

  • 20.1. Spain Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Quantum Machine Learning Market

  • 21.1. Eastern Europe Quantum Machine Learning Market Overview
  • 21.2. Eastern Europe Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Quantum Machine Learning Market

  • 22.1. Russia Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Quantum Machine Learning Market

  • 23.1. North America Quantum Machine Learning Market Overview
  • 23.2. North America Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Quantum Machine Learning Market

  • 24.1. USA Quantum Machine Learning Market Overview
  • 24.2. USA Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Quantum Machine Learning Market

  • 25.1. Canada Quantum Machine Learning Market Overview
  • 25.2. Canada Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Quantum Machine Learning Market

  • 26.1. South America Quantum Machine Learning Market Overview
  • 26.2. South America Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Quantum Machine Learning Market

  • 27.1. Brazil Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Quantum Machine Learning Market

  • 28.1. Middle East Quantum Machine Learning Market Overview
  • 28.2. Middle East Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Quantum Machine Learning Market

  • 29.1. Africa Quantum Machine Learning Market Overview
  • 29.2. Africa Quantum Machine Learning Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Quantum Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Quantum Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Quantum Machine Learning Market Competitive Landscape And Company Profiles

  • 30.1. Quantum Machine Learning Market Competitive Landscape
  • 30.2. Quantum Machine Learning Market Company Profiles
    • 30.2.1. Google LLC
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Alibaba Cloud
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Amazon Web Services
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Intel Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Quantum Machine Learning Market Other Major And Innovative Companies

  • 31.1. Accenture plc
  • 31.2. International Business Machines Corporation
  • 31.3. Honeywell International Inc.
  • 31.4. Fujitsu
  • 31.5. Atos SE
  • 31.6. PsiQuantum Corp.
  • 31.7. Quantinuum Ltd.
  • 31.8. Xanadu
  • 31.9. Quantum Machines
  • 31.10. 1QB Information Technologies Inc.
  • 31.11. Multiverse Computing
  • 31.12. Q-CTRL
  • 31.13. Rigetti & Co LLC
  • 31.14. IonQ Inc.
  • 31.15. QC Ware

32. Global Quantum Machine Learning Market Competitive Benchmarking

33. Global Quantum Machine Learning Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Quantum Machine Learning Market

35. Quantum Machine Learning Market Future Outlook and Potential Analysis

  • 35.1 Quantum Machine Learning Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Quantum Machine Learning Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Quantum Machine Learning Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer