
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 market for Quantum Computing in Agriculture was estimated to be worth US$ 159 million in 2023 and is forecast to a readjusted size of US$ 311.6 million by 2030 with 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Quantum Computing in Agriculture, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Quantum Computing in Agriculture by region & country, by Type, and by Application.
The Quantum Computing in Agriculture market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
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
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Quantum Computing in Agriculture manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Quantum Computing in Agriculture in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Quantum Computing in Agriculture in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 麻豆原创 Overview
1.1 Quantum Computing in Agriculture Product Introduction
1.2 Global Quantum Computing in Agriculture 麻豆原创 Size Forecast
1.3 Quantum Computing in Agriculture 麻豆原创 Trends & Drivers
1.3.1 Quantum Computing in Agriculture Industry Trends
1.3.2 Quantum Computing in Agriculture 麻豆原创 Drivers & Opportunity
1.3.3 Quantum Computing in Agriculture 麻豆原创 Challenges
1.3.4 Quantum Computing in Agriculture 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Quantum Computing in Agriculture Players Revenue Ranking (2023)
2.2 Global Quantum Computing in Agriculture Revenue by Company (2019-2024)
2.3 Key Companies Quantum Computing in Agriculture Manufacturing Base Distribution and Headquarters
2.4 Key Companies Quantum Computing in Agriculture Product Offered
2.5 Key Companies Time to Begin Mass Production of Quantum Computing in Agriculture
2.6 Quantum Computing in Agriculture 麻豆原创 Competitive Analysis
2.6.1 Quantum Computing in Agriculture 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Quantum Computing in Agriculture Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Quantum Computing in Agriculture as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Quantum Hardware
3.1.2 Quantum Software
3.2 Global Quantum Computing in Agriculture Sales Value by Type
3.2.1 Global Quantum Computing in Agriculture Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Quantum Computing in Agriculture Sales Value, by Type (2019-2030)
3.2.3 Global Quantum Computing in Agriculture Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Crop Planting Management
4.1.2 Crop Health Monitoring
4.1.3 Smart Irrigation
4.1.4 Other
4.2 Global Quantum Computing in Agriculture Sales Value by Application
4.2.1 Global Quantum Computing in Agriculture Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Quantum Computing in Agriculture Sales Value, by Application (2019-2030)
4.2.3 Global Quantum Computing in Agriculture Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Quantum Computing in Agriculture Sales Value by Region
5.1.1 Global Quantum Computing in Agriculture Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Quantum Computing in Agriculture Sales Value by Region (2019-2024)
5.1.3 Global Quantum Computing in Agriculture Sales Value by Region (2025-2030)
5.1.4 Global Quantum Computing in Agriculture Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Quantum Computing in Agriculture Sales Value, 2019-2030
5.2.2 North America Quantum Computing in Agriculture Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Quantum Computing in Agriculture Sales Value, 2019-2030
5.3.2 Europe Quantum Computing in Agriculture Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Quantum Computing in Agriculture Sales Value, 2019-2030
5.4.2 Asia Pacific Quantum Computing in Agriculture Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Quantum Computing in Agriculture Sales Value, 2019-2030
5.5.2 South America Quantum Computing in Agriculture Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Quantum Computing in Agriculture Sales Value, 2019-2030
5.6.2 Middle East & Africa Quantum Computing in Agriculture Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Quantum Computing in Agriculture Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Quantum Computing in Agriculture Sales Value
6.3 United States
6.3.1 United States Quantum Computing in Agriculture Sales Value, 2019-2030
6.3.2 United States Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Quantum Computing in Agriculture Sales Value, 2019-2030
6.4.2 Europe Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Quantum Computing in Agriculture Sales Value, 2019-2030
6.5.2 China Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.5.3 China Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Quantum Computing in Agriculture Sales Value, 2019-2030
6.6.2 Japan Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Quantum Computing in Agriculture Sales Value, 2019-2030
6.7.2 South Korea Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Quantum Computing in Agriculture Sales Value, 2019-2030
6.8.2 Southeast Asia Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Quantum Computing in Agriculture Sales Value, 2019-2030
6.9.2 India Quantum Computing in Agriculture Sales Value by Type (%), 2023 VS 2030
6.9.3 India Quantum Computing in Agriculture Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 BOLTZ
7.1.1 BOLTZ Profile
7.1.2 BOLTZ Main Business
7.1.3 BOLTZ Quantum Computing in Agriculture Products, Services and Solutions
7.1.4 BOLTZ Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.1.5 BOLTZ Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Quantum Computing in Agriculture Products, Services and Solutions
7.2.4 IBM Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Google
7.3.1 Google Profile
7.3.2 Google Main Business
7.3.3 Google Quantum Computing in Agriculture Products, Services and Solutions
7.3.4 Google Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.3.5 D-Wave Solutions Recent Developments
7.4 D-Wave Solutions
7.4.1 D-Wave Solutions Profile
7.4.2 D-Wave Solutions Main Business
7.4.3 D-Wave Solutions Quantum Computing in Agriculture Products, Services and Solutions
7.4.4 D-Wave Solutions Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.4.5 D-Wave Solutions Recent Developments
7.5 Microsoft
7.5.1 Microsoft Profile
7.5.2 Microsoft Main Business
7.5.3 Microsoft Quantum Computing in Agriculture Products, Services and Solutions
7.5.4 Microsoft Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.5.5 Microsoft Recent Developments
7.6 Rigetti Computing
7.6.1 Rigetti Computing Profile
7.6.2 Rigetti Computing Main Business
7.6.3 Rigetti Computing Quantum Computing in Agriculture Products, Services and Solutions
7.6.4 Rigetti Computing Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.6.5 Rigetti Computing Recent Developments
7.7 Intel
7.7.1 Intel Profile
7.7.2 Intel Main Business
7.7.3 Intel Quantum Computing in Agriculture Products, Services and Solutions
7.7.4 Intel Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.7.5 Intel Recent Developments
7.8 Anyon Systems Inc.
7.8.1 Anyon Systems Inc. Profile
7.8.2 Anyon Systems Inc. Main Business
7.8.3 Anyon Systems Inc. Quantum Computing in Agriculture Products, Services and Solutions
7.8.4 Anyon Systems Inc. Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.8.5 Anyon Systems Inc. Recent Developments
7.9 Cambridge Quantum Computing Limited
7.9.1 Cambridge Quantum Computing Limited Profile
7.9.2 Cambridge Quantum Computing Limited Main Business
7.9.3 Cambridge Quantum Computing Limited Quantum Computing in Agriculture Products, Services and Solutions
7.9.4 Cambridge Quantum Computing Limited Quantum Computing in Agriculture Revenue (US$ Million) & (2019-2024)
7.9.5 Cambridge Quantum Computing Limited Recent Developments
8 Industry Chain Analysis
8.1 Quantum Computing in Agriculture Industrial Chain
8.2 Quantum Computing in Agriculture Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Quantum Computing in Agriculture Sales Model
8.5.2 Sales Channel
8.5.3 Quantum Computing in Agriculture Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
BOLTZ
IBM
Google
D-Wave Solutions
Microsoft
Rigetti Computing
Intel
Anyon Systems Inc.
Cambridge Quantum Computing Limited
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*If Applicable.
