Global Deep Learning in Machine Vision Market Research Report 2023
Global Deep Learning in Machine Vision Market Research Report 2023
Abstract
Global Deep Learning in Machine Vision Market Overview:
Global Deep Learning in Machine Vision Market Report 2022 comes with the extensive industry analysis by Introspective Market Research with development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2022-2028.This research study of Deep Learning in Machine Vision involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Deep Learning in Machine Vision Market
The Deep Learning in Machine Vision Market Research report incorporate value chain analysis for each of the product type. Value chain analysis offers in depth information about value addition at each stage.The study includes drivers and restraints for Deep Learning in Machine Vision Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Deep Learning in Machine Vision Market helps user to make precise decision in order to expand their market presence and increase market share.
Impact of COVID-19 on Deep Learning in Machine Vision Market
Report covers Impact of Coronavirus COVID-19: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Deep Learning in Machine Vision market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
Global Deep Learning in Machine Vision Market Segmentation
Global Deep Learning in Machine Vision Market Research report comprises of Porter's five forces analysis to do the detail study about its each segmentation like Product segmentation, End user/application segment analysis and Major key players analysis mentioned as below;
By Type, Deep Learning in Machine Vision market has been segmented into:
Hardware
Software
By Application, Deep Learning in Machine Vision market has been segmented into:
Automobile
Electronic
Food and Drink
Health Care
Aerospace and Defense
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Deep Learning in Machine Vision market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Deep Learning in Machine Vision market.
Top Key Players Covered in Deep Learning in Machine Vision market are:
IFLYTEK
NavInfo
NVIDIA
Qualcomm
Intel
Beijing Megvii
4Paradigm
Objective to buy this Report:
1. Deep Learning in Machine Vision analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Deep Learning in Machine Vision market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Content
Table of Contents
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Building Information Modeling (BIM) Market by Type
5.1 Building Information Modeling (BIM) Market Overview Snapshot and Growth Engine
5.2 Building Information Modeling (BIM) Market Overview
5.3 3D BIM Management of Design Models
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 3D BIM Management of Design Models: Geographic Segmentation
5.4 4D BIM Management of Schedule
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2028F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 4D BIM Management of Schedule: Geographic Segmentation
5.5 5D BIM Management of Costs
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2016-2028F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 5D BIM Management of Costs: Geographic Segmentation
5.6 Building Information Modeling (BIM)
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2016-2028F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Building Information Modeling (BIM): Geographic Segmentation
Chapter 6: Building Information Modeling (BIM) Market by Application
6.1 Building Information Modeling (BIM) Market Overview Snapshot and Growth Engine
6.2 Building Information Modeling (BIM) Market Overview
6.3 Architects
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2028F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Architects: Geographic Segmentation
6.4 AEC Engineering Offices
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2028F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 AEC Engineering Offices: Geographic Segmentation
6.5 Contractors
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2028F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Contractors: Geographic Segmentation
6.6 Owners
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2016-2028F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Owners: Geographic Segmentation
6.7 Other
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2016-2028F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Other: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Building Information Modeling (BIM) Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Building Information Modeling (BIM) Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Building Information Modeling (BIM) Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 AUTODESK
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 INC (US)
7.4 NEMETSCHEK AG (GERMANY)
7.5 BENTLEY SYSTEMS
7.6 INC (US)
7.7 TRIMBLE NAVIGATION LTD (US)
7.8 DASSAULT SYSTEMES S.A. (FRANCE)
7.9 RIB SOFTWARE AG (GERMANY)
7.10 ROBERT MCNEEL AND ASSOCIATES (US)
7.11 CADSOFT CORPORATION (US)
7.12 SIEMENS (GERMANY)
7.13 AVEVA GROUP (UK)
7.14 ACONEX (AUSTRALIA)
7.15 BECK TECHNOLOGY (US)
7.16 INOVAYA (US)
7.17 SYNCHRO (UK)
7.18 IES (UK)
7.19 HONGYE TECHNOLOGY (CHINA)
7.20 BEIJING EXPLORER SOFTWARE (CHINA)
7.21 LUBANSOFT (CHINA)
7.22 GLODON(CHINA)
7.23 PKPM (CHINA)
Chapter 8: Global Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 3D BIM Management of Design Models
8.2.2 4D BIM Management of Schedule
8.2.3 5D BIM Management of Costs
8.2.4 Building Information Modeling (BIM)
8.3 Historic and Forecasted Market Size By Application
8.3.1 Architects
8.3.2 AEC Engineering Offices
8.3.3 Contractors
8.3.4 Owners
8.3.5 Other
Chapter 9: North America Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 3D BIM Management of Design Models
9.4.2 4D BIM Management of Schedule
9.4.3 5D BIM Management of Costs
9.4.4 Building Information Modeling (BIM)
9.5 Historic and Forecasted Market Size By Application
9.5.1 Architects
9.5.2 AEC Engineering Offices
9.5.3 Contractors
9.5.4 Owners
9.5.5 Other
9.6 Historic and Forecast Market Size by Country
9.6.1 U.S.
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Europe Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 3D BIM Management of Design Models
10.4.2 4D BIM Management of Schedule
10.4.3 5D BIM Management of Costs
10.4.4 Building Information Modeling (BIM)
10.5 Historic and Forecasted Market Size By Application
10.5.1 Architects
10.5.2 AEC Engineering Offices
10.5.3 Contractors
10.5.4 Owners
10.5.5 Other
10.6 Historic and Forecast Market Size by Country
10.6.1 Germany
10.6.2 U.K.
10.6.3 France
10.6.4 Italy
10.6.5 Russia
10.6.6 Spain
10.6.7 Rest of Europe
Chapter 11: Asia-Pacific Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 3D BIM Management of Design Models
11.4.2 4D BIM Management of Schedule
11.4.3 5D BIM Management of Costs
11.4.4 Building Information Modeling (BIM)
11.5 Historic and Forecasted Market Size By Application
11.5.1 Architects
11.5.2 AEC Engineering Offices
11.5.3 Contractors
11.5.4 Owners
11.5.5 Other
11.6 Historic and Forecast Market Size by Country
11.6.1 China
11.6.2 India
11.6.3 Japan
11.6.4 Singapore
11.6.5 Australia
11.6.6 New Zealand
11.6.7 Rest of APAC
Chapter 12: Middle East & Africa Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 3D BIM Management of Design Models
12.4.2 4D BIM Management of Schedule
12.4.3 5D BIM Management of Costs
12.4.4 Building Information Modeling (BIM)
12.5 Historic and Forecasted Market Size By Application
12.5.1 Architects
12.5.2 AEC Engineering Offices
12.5.3 Contractors
12.5.4 Owners
12.5.5 Other
12.6 Historic and Forecast Market Size by Country
12.6.1 Turkey
12.6.2 Saudi Arabia
12.6.3 Iran
12.6.4 UAE
12.6.5 Africa
12.6.6 Rest of MEA
Chapter 13: South America Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 3D BIM Management of Design Models
13.4.2 4D BIM Management of Schedule
13.4.3 5D BIM Management of Costs
13.4.4 Building Information Modeling (BIM)
13.5 Historic and Forecasted Market Size By Application
13.5.1 Architects
13.5.2 AEC Engineering Offices
13.5.3 Contractors
13.5.4 Owners
13.5.5 Other
13.6 Historic and Forecast Market Size by Country
13.6.1 Brazil
13.6.2 Argentina
13.6.3 Rest of SA
Chapter 14 Investment Analysis
Chapter 15 Analyst Viewpoint and Conclusion
Global Deep Learning in Machine Vision Market Report 2022 comes with the extensive industry analysis by Introspective Market Research with development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2022-2028.This research study of Deep Learning in Machine Vision involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Deep Learning in Machine Vision Market
The Deep Learning in Machine Vision Market Research report incorporate value chain analysis for each of the product type. Value chain analysis offers in depth information about value addition at each stage.The study includes drivers and restraints for Deep Learning in Machine Vision Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Deep Learning in Machine Vision Market helps user to make precise decision in order to expand their market presence and increase market share.
Impact of COVID-19 on Deep Learning in Machine Vision Market
Report covers Impact of Coronavirus COVID-19: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Deep Learning in Machine Vision market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
Global Deep Learning in Machine Vision Market Segmentation
Global Deep Learning in Machine Vision Market Research report comprises of Porter's five forces analysis to do the detail study about its each segmentation like Product segmentation, End user/application segment analysis and Major key players analysis mentioned as below;
By Type, Deep Learning in Machine Vision market has been segmented into:
Hardware
Software
By Application, Deep Learning in Machine Vision market has been segmented into:
Automobile
Electronic
Food and Drink
Health Care
Aerospace and Defense
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Deep Learning in Machine Vision market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Deep Learning in Machine Vision market.
Top Key Players Covered in Deep Learning in Machine Vision market are:
IFLYTEK
NavInfo
NVIDIA
Qualcomm
Intel
Beijing Megvii
4Paradigm
Objective to buy this Report:
1. Deep Learning in Machine Vision analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Deep Learning in Machine Vision market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Building Information Modeling (BIM) Market by Type
5.1 Building Information Modeling (BIM) Market Overview Snapshot and Growth Engine
5.2 Building Information Modeling (BIM) Market Overview
5.3 3D BIM Management of Design Models
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 3D BIM Management of Design Models: Geographic Segmentation
5.4 4D BIM Management of Schedule
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2028F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 4D BIM Management of Schedule: Geographic Segmentation
5.5 5D BIM Management of Costs
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2016-2028F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 5D BIM Management of Costs: Geographic Segmentation
5.6 Building Information Modeling (BIM)
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2016-2028F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Building Information Modeling (BIM): Geographic Segmentation
Chapter 6: Building Information Modeling (BIM) Market by Application
6.1 Building Information Modeling (BIM) Market Overview Snapshot and Growth Engine
6.2 Building Information Modeling (BIM) Market Overview
6.3 Architects
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2028F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Architects: Geographic Segmentation
6.4 AEC Engineering Offices
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2028F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 AEC Engineering Offices: Geographic Segmentation
6.5 Contractors
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2028F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Contractors: Geographic Segmentation
6.6 Owners
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2016-2028F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Owners: Geographic Segmentation
6.7 Other
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2016-2028F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Other: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Building Information Modeling (BIM) Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Building Information Modeling (BIM) Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Building Information Modeling (BIM) Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 AUTODESK
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 INC (US)
7.4 NEMETSCHEK AG (GERMANY)
7.5 BENTLEY SYSTEMS
7.6 INC (US)
7.7 TRIMBLE NAVIGATION LTD (US)
7.8 DASSAULT SYSTEMES S.A. (FRANCE)
7.9 RIB SOFTWARE AG (GERMANY)
7.10 ROBERT MCNEEL AND ASSOCIATES (US)
7.11 CADSOFT CORPORATION (US)
7.12 SIEMENS (GERMANY)
7.13 AVEVA GROUP (UK)
7.14 ACONEX (AUSTRALIA)
7.15 BECK TECHNOLOGY (US)
7.16 INOVAYA (US)
7.17 SYNCHRO (UK)
7.18 IES (UK)
7.19 HONGYE TECHNOLOGY (CHINA)
7.20 BEIJING EXPLORER SOFTWARE (CHINA)
7.21 LUBANSOFT (CHINA)
7.22 GLODON(CHINA)
7.23 PKPM (CHINA)
Chapter 8: Global Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 3D BIM Management of Design Models
8.2.2 4D BIM Management of Schedule
8.2.3 5D BIM Management of Costs
8.2.4 Building Information Modeling (BIM)
8.3 Historic and Forecasted Market Size By Application
8.3.1 Architects
8.3.2 AEC Engineering Offices
8.3.3 Contractors
8.3.4 Owners
8.3.5 Other
Chapter 9: North America Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 3D BIM Management of Design Models
9.4.2 4D BIM Management of Schedule
9.4.3 5D BIM Management of Costs
9.4.4 Building Information Modeling (BIM)
9.5 Historic and Forecasted Market Size By Application
9.5.1 Architects
9.5.2 AEC Engineering Offices
9.5.3 Contractors
9.5.4 Owners
9.5.5 Other
9.6 Historic and Forecast Market Size by Country
9.6.1 U.S.
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Europe Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 3D BIM Management of Design Models
10.4.2 4D BIM Management of Schedule
10.4.3 5D BIM Management of Costs
10.4.4 Building Information Modeling (BIM)
10.5 Historic and Forecasted Market Size By Application
10.5.1 Architects
10.5.2 AEC Engineering Offices
10.5.3 Contractors
10.5.4 Owners
10.5.5 Other
10.6 Historic and Forecast Market Size by Country
10.6.1 Germany
10.6.2 U.K.
10.6.3 France
10.6.4 Italy
10.6.5 Russia
10.6.6 Spain
10.6.7 Rest of Europe
Chapter 11: Asia-Pacific Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 3D BIM Management of Design Models
11.4.2 4D BIM Management of Schedule
11.4.3 5D BIM Management of Costs
11.4.4 Building Information Modeling (BIM)
11.5 Historic and Forecasted Market Size By Application
11.5.1 Architects
11.5.2 AEC Engineering Offices
11.5.3 Contractors
11.5.4 Owners
11.5.5 Other
11.6 Historic and Forecast Market Size by Country
11.6.1 China
11.6.2 India
11.6.3 Japan
11.6.4 Singapore
11.6.5 Australia
11.6.6 New Zealand
11.6.7 Rest of APAC
Chapter 12: Middle East & Africa Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 3D BIM Management of Design Models
12.4.2 4D BIM Management of Schedule
12.4.3 5D BIM Management of Costs
12.4.4 Building Information Modeling (BIM)
12.5 Historic and Forecasted Market Size By Application
12.5.1 Architects
12.5.2 AEC Engineering Offices
12.5.3 Contractors
12.5.4 Owners
12.5.5 Other
12.6 Historic and Forecast Market Size by Country
12.6.1 Turkey
12.6.2 Saudi Arabia
12.6.3 Iran
12.6.4 UAE
12.6.5 Africa
12.6.6 Rest of MEA
Chapter 13: South America Building Information Modeling (BIM) Market Analysis, Insights and Forecast, 2016-2028
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 3D BIM Management of Design Models
13.4.2 4D BIM Management of Schedule
13.4.3 5D BIM Management of Costs
13.4.4 Building Information Modeling (BIM)
13.5 Historic and Forecasted Market Size By Application
13.5.1 Architects
13.5.2 AEC Engineering Offices
13.5.3 Contractors
13.5.4 Owners
13.5.5 Other
13.6 Historic and Forecast Market Size by Country
13.6.1 Brazil
13.6.2 Argentina
13.6.3 Rest of SA
Chapter 14 Investment Analysis
Chapter 15 Analyst Viewpoint and Conclusion
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