Global Quantum Computing in Agriculture 麻豆原创 Research Report 2024

Publication ID:

PB506245571

Publication Date:

June 20, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

Quantum technology has emerged as a transformational tool that can revolutionize the farming industry. Quantum sensing and computing offer superior detection sensitivities and data processing capabilities compared to conventional methods.
The global Quantum Computing in Agriculture market was valued at US$ 159 million in 2023 and is anticipated to reach US$ 311.6 million by 2030, witnessing a CAGR of 10.2% during the forecast period 2024-2030.
The Quantum Computing market covers Hardware, Software, etc. The typical players include D-Wave Solutions, IBM, Google, etc.
The global Quantum Computing market size is expected to reach US$ 1987.6 million by 2029, growing at a CAGR of 35.2% from 2023 to 2029. The market is mainly driven by the significant applications of Quantum Computing in various end use industries.
This report aims to provide a comprehensive presentation of the global market for Quantum Computing in Agriculture, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Quantum Computing in Agriculture.
Report Scope
The Quantum Computing in Agriculture market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Quantum Computing in Agriculture market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Quantum Computing in Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
BOLTZ
IBM
Google
D-Wave Solutions
Microsoft
Rigetti Computing
Intel
Anyon Systems Inc.
Cambridge Quantum Computing Limited
Segment by Type
Quantum Hardware
Quantum Software
Segment by Application
Crop Planting Management
Crop Health Monitoring
Smart Irrigation
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Quantum Computing in Agriculture companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Quantum Computing in Agriculture 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Quantum Hardware
1.2.3 Quantum Software
1.3 麻豆原创 by Application
1.3.1 Global Quantum Computing in Agriculture 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Crop Planting Management
1.3.3 Crop Health Monitoring
1.3.4 Smart Irrigation
1.3.5 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Quantum Computing in Agriculture 麻豆原创 Perspective (2019-2030)
2.2 Quantum Computing in Agriculture Growth Trends by Region
2.2.1 Global Quantum Computing in Agriculture 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Quantum Computing in Agriculture Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Quantum Computing in Agriculture Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Quantum Computing in Agriculture 麻豆原创 Dynamics
2.3.1 Quantum Computing in Agriculture Industry Trends
2.3.2 Quantum Computing in Agriculture 麻豆原创 Drivers
2.3.3 Quantum Computing in Agriculture 麻豆原创 Challenges
2.3.4 Quantum Computing in Agriculture 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Quantum Computing in Agriculture Players by Revenue
3.1.1 Global Top Quantum Computing in Agriculture Players by Revenue (2019-2024)
3.1.2 Global Quantum Computing in Agriculture Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Quantum Computing in Agriculture 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Quantum Computing in Agriculture Revenue
3.4 Global Quantum Computing in Agriculture 麻豆原创 Concentration Ratio
3.4.1 Global Quantum Computing in Agriculture 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Quantum Computing in Agriculture Revenue in 2023
3.5 Quantum Computing in Agriculture Key Players Head office and Area Served
3.6 Key Players Quantum Computing in Agriculture Product Solution and Service
3.7 Date of Enter into Quantum Computing in Agriculture 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Quantum Computing in Agriculture Breakdown Data by Type
4.1 Global Quantum Computing in Agriculture Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Quantum Computing in Agriculture Forecasted 麻豆原创 Size by Type (2025-2030)
5 Quantum Computing in Agriculture Breakdown Data by Application
5.1 Global Quantum Computing in Agriculture Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Quantum Computing in Agriculture Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Quantum Computing in Agriculture 麻豆原创 Size (2019-2030)
6.2 North America Quantum Computing in Agriculture 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Quantum Computing in Agriculture 麻豆原创 Size by Country (2019-2024)
6.4 North America Quantum Computing in Agriculture 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Quantum Computing in Agriculture 麻豆原创 Size (2019-2030)
7.2 Europe Quantum Computing in Agriculture 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Quantum Computing in Agriculture 麻豆原创 Size by Country (2019-2024)
7.4 Europe Quantum Computing in Agriculture 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Quantum Computing in Agriculture 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Quantum Computing in Agriculture 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Quantum Computing in Agriculture 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Quantum Computing in Agriculture 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Quantum Computing in Agriculture 麻豆原创 Size (2019-2030)
9.2 Latin America Quantum Computing in Agriculture 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Quantum Computing in Agriculture 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Quantum Computing in Agriculture 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Quantum Computing in Agriculture 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Quantum Computing in Agriculture 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Quantum Computing in Agriculture 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Quantum Computing in Agriculture 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 BOLTZ
11.1.1 BOLTZ Company Detail
11.1.2 BOLTZ Business Overview
11.1.3 BOLTZ Quantum Computing in Agriculture Introduction
11.1.4 BOLTZ Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.1.5 BOLTZ Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Quantum Computing in Agriculture Introduction
11.2.4 IBM Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Quantum Computing in Agriculture Introduction
11.3.4 Google Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.3.5 Google Recent Development
11.4 D-Wave Solutions
11.4.1 D-Wave Solutions Company Detail
11.4.2 D-Wave Solutions Business Overview
11.4.3 D-Wave Solutions Quantum Computing in Agriculture Introduction
11.4.4 D-Wave Solutions Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.4.5 D-Wave Solutions Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Quantum Computing in Agriculture Introduction
11.5.4 Microsoft Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Rigetti Computing
11.6.1 Rigetti Computing Company Detail
11.6.2 Rigetti Computing Business Overview
11.6.3 Rigetti Computing Quantum Computing in Agriculture Introduction
11.6.4 Rigetti Computing Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.6.5 Rigetti Computing Recent Development
11.7 Intel
11.7.1 Intel Company Detail
11.7.2 Intel Business Overview
11.7.3 Intel Quantum Computing in Agriculture Introduction
11.7.4 Intel Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.7.5 Intel Recent Development
11.8 Anyon Systems Inc.
11.8.1 Anyon Systems Inc. Company Detail
11.8.2 Anyon Systems Inc. Business Overview
11.8.3 Anyon Systems Inc. Quantum Computing in Agriculture Introduction
11.8.4 Anyon Systems Inc. Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.8.5 Anyon Systems Inc. Recent Development
11.9 Cambridge Quantum Computing Limited
11.9.1 Cambridge Quantum Computing Limited Company Detail
11.9.2 Cambridge Quantum Computing Limited Business Overview
11.9.3 Cambridge Quantum Computing Limited Quantum Computing in Agriculture Introduction
11.9.4 Cambridge Quantum Computing Limited Revenue in Quantum Computing in Agriculture Business (2019-2024)
11.9.5 Cambridge Quantum Computing Limited Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

BOLTZ
IBM
Google
D-Wave Solutions
Microsoft
Rigetti Computing
Intel
Anyon Systems Inc.
Cambridge Quantum Computing Limited

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