Energy & Power
Global Next Generation Biofuels Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Next Generation Biofuels Market, By Biofuel Type (Biodiesel, Biogas, Biobutanol, and Others), Process (Biochemical process and Thermochemical process), Raw Material (Lignocellulose, Jatropha, Camelina, Algae, and Others), Application (Transportation, Power Generation, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global next generation biofuels market size is valued to be USD 12.04 billion in 2023 and is expected to reach USD 99.22 billion by 2032, and it is expected to register a CAGR of 26.75% over the forecast period 2024-2032.
Next-generation biofuels are advanced biofuels made from non-food feedstocks and often employ advanced conversion processes. These biofuels are thought to be a step forward over first-generation biofuels, which are primarily derived from food crops such as maize and sugarcane. Next-generation biofuels aim to solve some of the limitations associated with first-generation biofuels, such as concerns about food competition, land use change, and overall production sustainability.
Advanced bioethanol, cellulose ethanol, biobutanol, sustainable diesel, and biojet fuels are examples of next-generation biofuels. The goal of this research and development is to increase the efficiency, cost-effectiveness, and sustainability of biofuel production in order to contribute to a more sustainable and low-carbon energy future.
Market Dynamics
DRIVERS
- Increasing urbanization in developing countries
- Increase in power demand and consumption across the globe
RESTRAINTS
- Insufficient financial and economic capabilities
- Dearth of awareness
OPPORTUNITIES
- Surging developments and increasing investments
- Rise in necessity to produce sustainable and clean energy
CHALLENGES
- High capital costs
SEGMENTATION
MARKET SEGMENTATION
- Biofuel Type
- Biodiesel
- Biogas
- Biobutanol
- Others
- Process
- Biochemical process
- Thermochemical process
- Raw Material
- Lignocellulose
- Jatropha
- Camelina
- Algae
- Others
- Application
- Transportation
- Power Generation
- Others
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Clean Coal Technologies Inc.
- General Electric
- Alstom
- Siemens
- ExxonMobil Corporation
- Shell PLC
- JaworskiEnergyServices
- ABB
- Tracxn Technologies Limited
- GreatPoint Energy
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Next Generation Biofuels Market, by Biofuel Type
- 3.2 Global Next Generation Biofuels Market, by Process
- 3.3 Global Next Generation Biofuels Market, by Raw Material
- 3.4 Global Next Generation Biofuels Market, by Application
- 3.5 Global Next Generation Biofuels Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Trend 1
- 5.1.2 Trend 2
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increasing urbanization in developing countries
- 5.2.2 Increase in power demand and consumption across the globe
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Insufficient financial and economic capabilities
- 5.3.2 Dearth of awareness
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Surging developments and increasing investments
- 5.4.2 Rise in necessity to produce sustainable and clean energy
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 High capital costs
- 5.5.2 Challenge 2
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL NEXT GENERATION BIOFUELS MARKET, BY BIOFUEL TYPE
- 6.1 Biofuel Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Next Generation Biofuels Market, by Biofuel Type (2019-2032)
- SECTION 7 - GLOBAL NEXT GENERATION BIOFUELS MARKET, BY PROCESS
- 7.1 Process Summary
- 7.2 Market Attractive Index
- 7.3 Global Next Generation Biofuels Market, by Process (2019-2032)
- SECTION 8 - GLOBAL NEXT GENERATION BIOFUELS MARKET, BY RAW MATERIAL
- 8.1 Raw Material Summary
- 8.2 Market Attractive Index
- 8.3 Global Next Generation Biofuels Market, by Raw Material (2019-2032)
- SECTION 9 - GLOBAL NEXT GENERATION BIOFUELS MARKET, BY APPLICATION
- 9.1 Application Summary
- 9.2 Market Attractive Index
- 9.3 Global Next Generation Biofuels Market, by Application (2019-2032)
- SECTION 10 - GLOBAL NEXT GENERATION BIOFUELS MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global Next Generation Biofuels Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA NEXT GENERATION BIOFUELS MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America Next Generation Biofuels Market, by Biofuel Type (2019-2032)
- 11.4 North America Next Generation Biofuels Market, by Process (2019-2032)
- 11.5 North America Next Generation Biofuels Market, by Raw Material (2019-2032)
- 11.6 North America Next Generation Biofuels Market, by Application (2019-2032)
- 11.7 North America Next Generation Biofuels Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE NEXT GENERATION BIOFUELS MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe Next Generation Biofuels Market, by Biofuel Type (2019-2032)
- 12.4 Europe Next Generation Biofuels Market, by Process (2019-2032)
- 12.5 Europe Next Generation Biofuels Market, by Raw Material (2019-2032)
- 12.6 Europe Next Generation Biofuels Market, by Application (2019-2032)
- 12.7 Europe Next Generation Biofuels Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC NEXT GENERATION BIOFUELS MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific Next Generation Biofuels Market, by Biofuel Type (2019-2032)
- 13.4 Asia-Pacific Next Generation Biofuels Market, by Process (2019-2032)
- 13.5 Asia-Pacific Next Generation Biofuels Market, by Raw Material (2019-2032)
- 13.6 Asia-Pacific Next Generation Biofuels Market, by Application (2019-2032)
- 13.7 Asia-Pacific Next Generation Biofuels Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA NEXT GENERATION BIOFUELS MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America Next Generation Biofuels Market, by Biofuel Type (2019-2032)
- 14.4 South America Next Generation Biofuels Market, by Process (2019-2032)
- 14.5 South America Next Generation Biofuels Market, by Raw Material (2019-2032)
- 14.6 South America Next Generation Biofuels Market, by Application (2019-2032)
- 14.7 South America Next Generation Biofuels Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA NEXT GENERATION BIOFUELS MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa Next Generation Biofuels Market, by Biofuel Type (2019-2032)
- 15.4 Middle East and Africa Next Generation Biofuels Market, by Process (2019-2032)
- 15.5 Middle East and Africa Next Generation Biofuels Market, by Raw Material (2019-2032)
- 15.6 Middle East and Africa Next Generation Biofuels Market, by Application (2019-2032)
- 15.7 Middle East and Africa Next Generation Biofuels Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global Next Generation Biofuels Market, Company Share Analysis
- 16.2 North America Next Generation Biofuels Market, Company Share Analysis
- 16.3 Europe Next Generation Biofuels Market, Company Share Analysis
- 16.4 Asia-Pacific Next Generation Biofuels Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 Clean Coal Technologies Inc.
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 General Electric
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 Alstom
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 Siemens
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 ExxonMobil Corporation
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 Shell PLC
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 JaworskiEnergyServices
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 ABB
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 Tracxn Technologies Limited
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 GreatPoint Energy
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.