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Global AI in Construction and Agriculture Market Future Trend Insights, 2023-2029

Length- 97 Pages | Published Date - 2022-09-17 | Report Id- 6126
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Description Table of Contents Table of Figures
This report aims to provide a comprehensive presentation of the global market for AI in Construction and Agriculture, with 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 AI in Construction and Agriculture.

The AI in Construction and Agriculture market size considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI in Construction and 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 AI in Construction and Agriculture manufacturers, new entrants, and industry chain related companies in this market with information for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.

The global AI in Construction and Agriculture market size in 2022 is 1250.00 million US dollars, and it is expected to be 5927.17 million US dollars by 2029, with a compound annual growth rate of 24.90% expected in 2023-2029.

MARKET COMPETITIVE LANDSCAPE:
The main players in the AI in Construction and Agriculture market include IBM Corporation (US), Microsoft Corporation (US), Bayer AG (Germany), Google LLC (US), and John Deere & Company (US). The share of the top 3 players in the AI in Construction and Agriculture market is XX%.

REGION SHARE:
The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, and North America accounted for XX%, Europe accounted for XX% of AI in Construction and Agriculture market, and Asia Pacific accounted for XX%.

SEGMENT OVERVIEW:
The report segments the market by Type and Application. Machine Learning accounted for XX% of AI in Construction and Agriculture market in 2022. PredInternet and Communicationive Analytics share of XX%.
Precision Farming accounted for XX% of the AI in Construction and Agriculture market in 2022. Agricultural Robots accounts for XX%.

Chapter Outline
Chapter 1: Introduces the product overview, market scope, product classification, application, and regional division, and then includes inflation analysis, the impact of the Russo-Ukrainian war on the market, and the global impact of the coronavirus disease (COVID-19).
Chapter 2: Analysis of the competitive environment of AI in Construction and Agriculture market participants. This mainly includes the revenue and market share of the top players, along with the players” M&A and expansion in recent years.
Chapter 3: Analyzes the main companies in the AI in Construction and Agriculture industry, including their main businesses, products/services, revenue, gross margin, and the latest developments.
Chapters 4-6: Segmented the global AI in Construction and Agriculture market by type, application and region. Analyze the revenue of market segments from different perspectives.
Chapters 7-10: Provide Americas, Europe, Asia Pacific and Middle East and Africa AI in Construction and Agriculture market country segmentation data.
Chapter 11: Introduces the market dynamics, the trends factors and drivers factors of the market, and the challenges and restraints faced by manufacturers in the industry.
Chapters 12-13: Segmented the global AI in Construction and Agriculture market by type, and application. Analyze the revenue of market segments from different perspectives.
Chapter 14: Provide AI in Construction and Agriculture market forecast data, broken down by region to help understand future growth trends.
Chapter 15: The main points and conclusions of the report.
Chapter 16: Concludes with an explanation of the data sources and research methods.

Highlights-Regions

Americas
United States
Canada
Brazil
Argentina
Mexico
Europe
Germany
France
UK
Italy
Russia
Asia Pacific
China
Japan
South Korea
India
Southeast Asia
Australia
MEA
Saudi Arabia
UAE
Turkey

Player list
IBM Corporation (US)
Microsoft Corporation (US)
Bayer AG (Germany)
Google LLC (US)
John Deere & Company (US)
A.A.A Taranis Visual Ltd. (Israel)
AgEagle Aerial Systems Ltd. (US)
Gamaya SA (Switzerland)
AGCO Corporation (US)
AG Leader Technology (US)
Trimble Inc. (US)
Granular Inc. (US)

Types list
Machine Learning
PredInternet and Communicationive Analytics
Computer Vision

Application list
Precision Farming
Agricultural Robots
Livestock Monitoring

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Global AI in Construction and Agriculture Market Future Trend Insights, 2023-2029

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