This market research report includes a detailed segmentation of the global AgriTech market by type (bio tech and chemicals, analytics, sensors, mobility, and others), application (irrigation, production and maintenance, marketplace, supply chain, and others), and region (North America, Europe, APAC, Middle East Africa, and Latin America). The market research report identifies Impossible Foods, Mei Cai, Indigo, ProducePay, PivotBio, and Plenty as the market leaders operating in the global AgriTech market.
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The demand for agricultural robots is growing owing to the increasing applications in smart farming areas including precision crop farming, livestock monitoring and management, indoor farming, aquaculture, forestry, and orchids, among others. Farmers across the world are using semi-autonomous tractors to reduce multiple trips for farm monitoring, hence reducing crop damage, and fuel consumption. Moreover, there has been a surge in the utilization of milking robots by livestock producers. Automatic imaging, sensing, handling, and processing of agricultural produce for harvesting and weeding is becoming common with the introduction of picking robots in the agricultural industry.
This market research report includes a detailed segmentation of the global AgriTech market by type (bio tech and chemicals, analytics, sensors, mobility, and others), application (irrigation, production and maintenance, marketplace, supply chain, and others), and region (North America, Europe, APAC, Middle East Africa, and Latin America). The market research report identifies Impossible Foods, Mei Cai, Indigo, ProducePay, PivotBio, and Plenty as the market leaders operating in the global AgriTech market.
#AgriTechIndia - Current Scenario of Agri & Food StartupsDeepak Pareek
A presentation delivered on Enabling Next Generation Revolution Through Emerging New Technology Wave by Deepak Pareek at All India AgriStartup Convention and Awards 2018 in session on "Current Scenario of Agri & Food Startups".
The demand for agricultural robots is growing owing to the increasing applications in smart farming areas including precision crop farming, livestock monitoring and management, indoor farming, aquaculture, forestry, and orchids, among others. Farmers across the world are using semi-autonomous tractors to reduce multiple trips for farm monitoring, hence reducing crop damage, and fuel consumption. Moreover, there has been a surge in the utilization of milking robots by livestock producers. Automatic imaging, sensing, handling, and processing of agricultural produce for harvesting and weeding is becoming common with the introduction of picking robots in the agricultural industry.
Spielman et al, digital tools and agricultural markets in africa, ifpri 21Ahmed Ali
IFPRI and USAID are discussing the potential of digital tools to support farmers in Egypt, launching a new digital app repository that aims to provide a list of agriculture digital tools meant to support smallholder farmers in Egypt.
Building the next generation of farmers
Supporting capacity-development of African Farmer’s Organisations through improved Policies, Technologies and Capabilities
Workshop , 6-7 November 2018, Brussels
[Webinar recording in last slide or at https://youtu.be/DMg9UI7Ur0M, 26/3/2018]
As part of its work on farmers’ data rights and following up on the face-to-face course on Farmers’ Access to Data organized in Centurion in November 2017, GFAR collaborates with the Global Open Data for Agriculture and Nutrition initiative (GODAN) and the Technical Center for Agricultural and Rural Cooperarion (CTA) on a series of webinars on data-driven agriculture, its opportunities and its challenges.
Overview of webinar #3
This webinar is a continuation of exploring digital agriculture for smallholder farmers. The first webinar provided an overview of digital agriculture, the trends impacting it, and it advantages and challenges for smallholder farmers. The second identified specific data needed by farmers, as well as potential sources.
“Crossing the Donga” will provide smallholder farmers, and those who support them, specific methods for ensuring farmer-centric solutions. The webinar will examine some of the key challenges that are blocking adoption of digital architecture by smallholder farmers. Attendees will learn a process for mapping their data needs, based on their goals and key tasks. Attendees will learn the foundational market model, and how to create value for success.
About the presenter
Dan Berne is a highly regarded professional business growth strategist with over 30 years’ experience. Dan led the effort to create an Ag Irrigation market strategy for the Northwest Energy Efficiency Alliance (NEEA). He also conducted grower experience studies to help identify barriers to grower adoption of energy saving practices. Dan wrote or co-wrote many of the NEEA Ag Irrigation reports. Dan serves as the Project Manager on AgGateway’s Precision Ag Irrigation Language data standards project. He is an affiliate of the Chasm Institute, and a certified practitioner of Innovation Games.
Dan started the “Lagom Ag Initiative” within his company to help accelerate the adoption of precision farming practices and improve the use of digital agricultural methodologies. Lagom is a Swedish word that means “just enough.” It is also used to mean “simply perfect.” It fits our philosophy of helping farmers use just enough water, just enough fertilizers, just enough energy to be profitable while increasing or maintaining yield.
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IFPRI and USAID are discussing the potential of digital tools to support farmers in Egypt, launching a new digital app repository that aims to provide a list of agriculture digital tools meant to support smallholder farmers in Egypt.
Building the next generation of farmers
Supporting capacity-development of African Farmer’s Organisations through improved Policies, Technologies and Capabilities
Workshop , 6-7 November 2018, Brussels
[Webinar recording in last slide or at https://youtu.be/DMg9UI7Ur0M, 26/3/2018]
As part of its work on farmers’ data rights and following up on the face-to-face course on Farmers’ Access to Data organized in Centurion in November 2017, GFAR collaborates with the Global Open Data for Agriculture and Nutrition initiative (GODAN) and the Technical Center for Agricultural and Rural Cooperarion (CTA) on a series of webinars on data-driven agriculture, its opportunities and its challenges.
Overview of webinar #3
This webinar is a continuation of exploring digital agriculture for smallholder farmers. The first webinar provided an overview of digital agriculture, the trends impacting it, and it advantages and challenges for smallholder farmers. The second identified specific data needed by farmers, as well as potential sources.
“Crossing the Donga” will provide smallholder farmers, and those who support them, specific methods for ensuring farmer-centric solutions. The webinar will examine some of the key challenges that are blocking adoption of digital architecture by smallholder farmers. Attendees will learn a process for mapping their data needs, based on their goals and key tasks. Attendees will learn the foundational market model, and how to create value for success.
About the presenter
Dan Berne is a highly regarded professional business growth strategist with over 30 years’ experience. Dan led the effort to create an Ag Irrigation market strategy for the Northwest Energy Efficiency Alliance (NEEA). He also conducted grower experience studies to help identify barriers to grower adoption of energy saving practices. Dan wrote or co-wrote many of the NEEA Ag Irrigation reports. Dan serves as the Project Manager on AgGateway’s Precision Ag Irrigation Language data standards project. He is an affiliate of the Chasm Institute, and a certified practitioner of Innovation Games.
Dan started the “Lagom Ag Initiative” within his company to help accelerate the adoption of precision farming practices and improve the use of digital agricultural methodologies. Lagom is a Swedish word that means “just enough.” It is also used to mean “simply perfect.” It fits our philosophy of helping farmers use just enough water, just enough fertilizers, just enough energy to be profitable while increasing or maintaining yield.
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How will the market for agricultural M2M and IoT applications evolve in 2018 and beyond? Berg Insight covers the latest trends and developments in the emerging smart farming market. Berg Insight forecasts that the number of installed wireless devices for applications in agricultural production is forecasted to grow at a CAGR of 10.0 percent from 17.0 million connections at the end of 2016 to 27.4 million connected devices by 2021. Cellular connections amounted to 0.8 million at the end of 2016 and is expected to grow at a CAGR of 30.2 percent to reach 3.1 million in 2021. Get up to date with the latest information about vendors, products and markets.
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Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
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The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
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Global smart agriculture market outlook
1. Report Code :HICT1002
2016-2024
Global Smart Agriculture Market Outlook 2024: Global Opportunity & Growth
Analysis, 2016-2024
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2. XX%
XX%
XX%
XX%
XX%
2016
Asia-Pacific LatinAmerica Middle East &Africa
XX%
XX%
XX%
XX%
XX%
2024
North America Europe
Source: GoldsteinResearch
In 2016, Hardware accounted for the highest market share XX%
in Global Smart AgricultureMarket
2018f 2019f 2020f 2021f 2022f 2023f
Global Smart Agriculture Market Size USD (Billion). 2016-2024
XX%
CAGR:(2016-2024)
Global Smart Agriculture Market Share(%), By Region-2016-
2024
With XX% share in 2016, North America region dominated the Global
Smart Agriculture Market
xx%
xx%xx%
xx%
Connectivity/M2M
Platforms
Infrastructure-as-a-
Service (Iaas)
BackendPlatforms
Hardware specific
softwarePlatforms
Consumer/Enterprise
Software Extension
Platforms
Source: GoldsteinResearch
XX%
XX%
XX%
XX%
XX%
DataManagement
Network Management
Security
RemoteMonitoring
Real Time Streaming
Analysis
Source: GoldsteinResearch
Global Smart Agriculture Market
Share(%), By Software-2016
lGobal Smart Agriculture Market
Share(%), ByPlatform-2016
FigGlobal Smart Agriculture Market
Share(%), ByHardware-2016
XX%
XX%
XX%
XX%
Drones
Sensors
RFIDTags
Others(Transmit
ters,Sprinklers)
Source: GoldsteinResearch
2015e 2016f 2017f
Source: GoldsteinResearch
Executive Summary
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3. Major Players/
Industries
NorthAmerica APAC Europe LatinAmerica
Middle East &
Africa
ROW
AGCOCorporation
Deere &Company
LeicaGeosystems
Trimble
Navigation Ltd.
AgJunction Inc.
Cisco Systems
Hexagon AB
AG Leader
Technology
High Penetration Medium Penetration Low Penetration
Major Players Presence-Regional Analysis
Source: GoldsteinResearch
Copyright All Rights Reserved, Goldstein Research www.goldsteinresearch.com
4. Global Smart Agriculture Market Size (USD Billion) & Y-O-Y Growth Analysis
(%), 2016-2024
XX%
XX% XX% XX%
XX% XX% XX% XX% XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
2016 2017 2018 2019 2020 2021 2022 2023 2024
Source: Goldstein Research Source: GoldsteinResearch
Adoption of robotic and GPS technology with computer imaging in farming is transforming the agriculture industry by
improving the agricultural production
Leading market players are investing farm business network to expand their product portfolio. Moreover, application of
IoT in agriculture is giving opportunities for many startups, In last 3 years, over USD 270 million is invested by startups
in agriculture and food technology deals
Due to high initial investment in the implementation of digital technologies for farming is restriction the adoption of
smart farming among farmers. Over 75% of farmers are not able to adopt smart farming mainly in developing economies
due to high cost hardware devices and lack accessibility to internet
Global Smart Agriculture Market Y-o-Y Growth (%),
2016-2024
Global Smart Agriculture Market (USD Billion), 2016- 2024
XX
Copyright Goldstein Research, All Rights Reserved www.goldsteinresearch.com
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
XX
2016 2017 2018 2019 2020 2021 2022 2023 2024
6. High initial investments, fragmentation in agriculture and lack of internet connectivity
High cost of IoT based solutions for farming is a major concern for farmers majorly in
developing countries such as China, India and Brazil. Huge initial investment in digital farming
technology is a key factor which is hindering the growth of global smart agriculture market
Agriculture sector is majorly dominated by small enterprises, lack of involvement of dominating
players of IoT based solution in agriculture is impacting the expansion of smart agriculture
business. Agriculture sector generates huge amount of data and data management is a major
obstacle for smart agriculture
Many famers are not able to adopt IoT based technology for farming due to lack of accessibility
of connectivity services. Also lack of knowledge about wireless technology mainly in emerging
economies is also hindering the growth of smart agriculture business
As agriculture needs wide connectivity, adoption of LPWA technologies is expected to decline
due to its high-cost and narrow-area connectivity that can not cover the remote locations
High Medium Low
ImpactAnalysis:-
The population living in rural areas across the globe are unable
to get internet connectivity due to less awareness are some of
the factors which is restraining the growth of smart agriculture
market.
Many regions across the globe are underdeveloped and
viewing low economies . These regions are unable to embrace
advanced agriculture facilities which is curbing the growth of
global smart agriculturemarket.
XX
XX
XX
XX
XX
Germany Russia SouthAfrica
Rural population (%) of the total population(%)- By
Countries,2016
Rural & Urban Population (%)- World
48%
52%
China India
Source: World Bank Data
• 12.7% of the total population of the world
population is lived at or below USD 1.90 per
day in the year 2012
• In China, 753 Million people living at or
below USD1.90 per day
• In East-Asia region, 18.7% of the total
population of this region living below
poverty line in2012
• In United States, the population lies below
poverty line is 15.2% of the total population
of thecountry
Source:XXXX
Impact on Smart AgricultureMarket
Market Restraints
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7. Opportunities for Smart Agriculture Market
Future Scope for IoT Application in SmartAgriculture Opportunities for Smart Agriculture
Smart
Agriculture
CropWater
Management
Precision
Agriculture
Crop
Productionand
Safety
Management
Pest
Management
and Control
Work
Smart
Farming
Collaboration of
PrivateCompanies
with Government
Rising Penetration
of Internet and
Adoption of Smart
Phones
Increasing
implementation of
Communication
Technologies
Source: Goldstein Research Source: GoldsteinResearch
CLASS a leading agricultural machinery manufacturer collaborated with 365FarmNet , to facilitate the farmers with
remote services which they can manage via Smartphone or computer
CleanGrow Ltd. launced Carbon Nanotube Probe which helps in measuring ion concentration in liquid and nutrient
planning for field
Hexagon AB, acquired iLab Sistemas in 2014, to provide optimization solutions for agriculture sector, primarily for
sugarcane and ethanol industries
Copyright Goldstein Research, All Rights Reserved www.goldsteinresearch.com
8. Impact Analysis (%) of Communication Technology on Global Smart
Agriculture Market, 2016-2024
Source: Goldstein Research Source: GoldsteinResearch
In global smart Agriculture Market Growing penetration of communication technology is positively impacting the
business opportunities for smart agriculture. These communication technology is used in application such as automated
irrigation, water sprinkling, farm navigation and greenhouse farming
Over 82% of U.S. farmers are using GPS technology for monitoring farm machinery and navigation. Rising penetration
of communication technology is helping in improving the precision livestock monitoring and farm management which is
likely to boost the demand of precision farming during the forecast period
As agriculture needs wide connectivity, adoption of LPWA technologies is expected to rise due to its low-cost and wide-
area connectivity that can cover the remote locations
toreach.
Smart Agriculture Market, Adoption Rate(%), By
Communication Technology,2016
Communication Technologies Used in SmartAgriculture
XX%
XX%
XX%
XX%
XX%
XX%
XX%
2G/3G/4G
Satellite
Bluetooth
ZigBee
LPWA (LORA,Sigfox)
WIFI
NB-IoT
XX%
XX%
XX%
XX%
XX%
XX%
LWPA
Bluetooth
Satellite
2G/3G/4G
ZigBee
Others
Copyright Goldstein Research, All Rights Reserved www.goldsteinresearch.com
9. XX%
XX%
Hardware
XX%
XX%
Software
Global Smart Agriculture Market Share (%), By Component, 2016-2024
Rising demand of drones for remote monitoring of field and livestock and help in improving crop management.
However, less adoption of RFID tags and transmitters are likely to impact the market demand of hardware segment
In 2010, Food and Agriculture Organization introduced Climate Agriculture Policies for food security and mitigation in
U.S.. This has significantly increased the adoption of connectivity and hardware specific software based platforms for
agriculturalpurpose
Rising adoption of data management and remote monitoring software for capacity development, field monitoring and
analysis of climatic changes is boosting the growth of smart agriculture software market
XX%
XX%
Platforms
Source: GoldsteinResearch
Global Smart Agriculture Market Share (%) Analysis, By Component,2016-2024
Copyright Goldstein Research, All Rights Reserved www.goldsteinresearch.com
2016 2024
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