封面
市場調查報告書
商品編碼
1527114

2024 年量子機器學習全球市場報告

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個工作天內

價格
簡介目錄

量子機器學習市場規模預計在未來幾年將呈指數級成長。 2028年,將以33.6%的複合年成長率成長至35.8億美元。預測期內的成長動力將由對先進運算能力的偏好不斷成長、對軟體即服務(SaaS)模式的日益偏好、量子計算硬體和軟體以及銀行和金融服務領域的進步推動。快速發展。這段時期的主要趨勢包括量子人工智慧技術的進步、技術的持續增強、量子演算法的改進、基於雲端基礎的量子運算的興起以及量子機器學習框架的出現。

資料產生的增加預計將在短期內推動量子機器學習市場的成長。資料生成涉及創建反映現實世界資料的合成資料。連網型設備的激增、數位平台和服務的擴展以及物聯網 (IoT) 技術在各行業的採用都導致了資料生成的爆炸性成長。量子機器學習演算法能夠比傳統演算法更有效地分析資料,從而能夠更快地處理大型資料集並提取有價值的見解。例如,2024年3月,美國軟體公司Edge Delta透露,2020年用戶產生的資料量為64.2Zetta位元組(ZB),預計2024年終將增加到147 ZB。此外,到 2032 年,這項資料量預計將比 2027 年收集的資料增加 300 倍。因此,增加資料生成是量子機器學習市場成長的關鍵驅動力。

量子機器學習 (QML) 市場的領先公司正在引領量子機器學習舉措,利用量子運算的潛力來增強機器學習演算法和資料分析。與 Masu 相比,這些舉措利用量子運算的獨特功能來改進機器學習演算法,並促進更有效率的資料分析、模式識別和最佳化任務。例如,2023 年 11 月,奧地利機器學習與量子運算專家聯盟Quantum Connect推出了第一個奧地利量子機器學習社群。該舉措旨在培育一個活躍的社區,致力於量子機器學習應用的研究和開發,以便未來在奧地利各個工業和政府部門進行部署。

目錄

第1章執行概述

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球量子機器學習市場:促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 全球量子機器學習市場表現:規模與成長,2018-2023
  • 全球量子機器學習市場預測:規模與成長,2023-2028 年、2033 年

第6章 市場細分

  • 全球量子機器學習市場:按組成部分、性能和預測,2018-2023、2023-2028、2033
  • 硬體
  • 軟體
  • 服務
  • 全球量子機器學習市場:依部署、效能和預測分類,2018-2023、2023-2028、2033
  • 本地
  • 雲端基礎
  • 全球量子機器學習市場:按最終用戶、實際和預測,2018-2023、2023-2028、2033
  • 醫療保健
  • 銀行、金融服務和保險 (BFSI)
  • 研究員
  • 能源和公共
  • 化學品
  • 製造業
  • 其他

第 7 章 區域/國家分析

  • 全球量子機器學習市場:按地區、表現和預測,2018-2023、2023-2028、2033
  • 全球量子機器學習市場:按國家、表現和預測,2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭格局及公司概況

  • 量子機器學習市場:競爭格局
  • 量子機器學習市場:公司簡介
    • Google LLC
    • Microsoft Corporation
    • Alibaba Cloud
    • Amazon Web Services
    • Intel Corporation

第31章 其他重大及創新企業

  • 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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來展望與潛力分析

第36章附錄

簡介目錄
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