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Artificial Intelligence

Global Autonomous Farm Equipment Market to Reach US$135.4 Billion by the Year 2026

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New York, Jan. 18, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Autonomous Farm Equipment Industry” – https://www.reportlinker.com/p05818534/?utm_source=GNW
Automation of farming equipment offers numerous benefits in the form of faster and more precise operations regardless of weather conditions and time, along with ability to take up heavy and highly complex operations like ploughing and harvesting. Supported by steady technological advancements and growing importance of artificial intelligence, the autonomous farming equipment market is poised for robust growth in the coming years. Driven by rapid pace of mechanization and increasing role of autonomy in agricultural operations, the demand for fully autonomous farm equipment continues to expand. Growing focus on sustainable agriculture and the need for efficient resource management also augur well for the market. The growing integration of AI and IoT in agricultural operations are further expanding growth opportunities for the autonomous farm equipment. AI in particular proves beneficial as it enables precision farming, provides advanced solutions for ensuring timely harvesting, enables use of predictive analytics for improving crop production quality, and offers solutions for optimal planting and soil management. The combination of advanced robotics and electronics with GPS and navigation systems are facilitating developing of fully autonomous farm equipment. Growing use of tractors and combine harvesters that are integrated with auto-steering capabilities and increasingly role of drones in farming activities are presenting growth opportunities for the market.

Amid the COVID-19 crisis, the global market for Autonomous Farm Equipment estimated at US$65.7 Billion in the year 2020, is projected to reach a revised size of US$135.4 Billion by 2026, growing at a CAGR of 13.1% over the analysis period. Partially Autonomous, one of the segments analyzed in the report, is projected to grow at a 11.7% CAGR to reach US$99.3 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Fully Autonomous segment is readjusted to a revised 15.8% CAGR for the next 7-year period. This segment currently accounts for a 30.4% share of the global Autonomous Farm Equipment market. The semi or partially autonomous machinery helps in bringing the labor cost down, at the same time getting more work done in shorter period of time. Also, the power and mobility can be integrated in a modular fashion into the tool itself, which would help in easier movement and better control at the same time bring down the equipment operational cost.

The U.S. Market is Estimated at $21.6 Billion in 2021, While China is Forecast to Reach $23.6 Billion by 2026

The Autonomous Farm Equipment market in the U.S. is estimated at US$21.6 Billion in the year 2021. The country currently accounts for a 30.1% share in the global market. China, the world`s second largest economy, is forecast to reach an estimated market size of US$23.6 Billion in the year 2026 trailing a CAGR of 16.7% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 9.9% and 10.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.3% CAGR while Rest of European market (as defined in the study) will reach US$27.8 Billion by the end of the analysis period. North America and Europe represent leading regional markets. Growing investments into advanced farming sector, technological advancements in manufacturing operations, new programs to boost agriculture industry are fueling growth in the autonomous farm equipment market in these regions. The adoption of autonomous or driverless tractors is high in developed economies of North America and Europe. Larger fields, issues with labor availability and presence of massive grasslands constitute the major factors pushing adoption of the tractors in these markets.

Select Competitors (Total 66 Featured)

  • AGCO Corporation
  • AgEagle Aerial Systems Inc.
  • Autonomous Solutions, Inc.
  • Autonomous Tractor Corporation
  • Bobcat Company
  • Claas KGaA GmbH
  • Clearpath Robotics Inc.
  • CNH Industrial N.V.
  • Case IH
  • Deere & Company
  • Kinze Manufacturing Inc.
  • KUBOTA Corporation
  • Naïo Technologies
  • Rowbot Systems
  • Yanmar Holdings Co., Ltd.

Read the full report: https://www.reportlinker.com/p05818534/?utm_source=GNW

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW
Impact of COVID-19 Pandemic and Looming Global Recession
2020: A Year of Disruption & Transformation
As the Race between the Virus & Vaccines Intensifies, Where is
the World Economy Headed in 2021?
EXHIBIT 1: World Economic Growth Projections (Real GDP, Annual %
Change) for 2020 through 2022
Pandemic Slows Down Demand for Agricultural Equipment
EXHIBIT 2: COVID-19 Related Issues Impacting Agriculture Industry
COVID-19 Effect on Supply Chain & Shift to Automation Hail New
Era for Autonomous Vehicle & Equipment Makers
An Introduction to Autonomous Farm Equipment
Types of Autonomous Farm Equipment
Benefits of Autonomous Machinery to Farmers
Global Market Prospects & Outlook
Autonomous Tractors to Experience High Growth
Developed Regions Lead, Developing Economies Poised for High
Growth
Competition
EXHIBIT 3: Autonomous Farm Equipment Competitor Market Share
Scenario Worldwide (in %): 2020
Recent Market Activity

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS
Growing Population & Rising Food Security Concerns Drive Demand
for Autonomous Tractors
EXHIBIT 4: Long-term Focus on Feeding the World?s Expanding
Population to Sustain the Growth of Mechanized Farm Equipment:
World Population (in Thousands) by Geographic Region for the
Years 2019, 2030, 2050, and 2100
EXHIBIT 5: Food Demand Growth Worldwide: Demand Growth in
Million Tonnes for Select Foods for the Period 2008-2017 and
2018-2027
Climate Change Adds Fuel to the Already Burning Issue of Food
Security
EXHIBIT 6: Negative Impact of Rising Surface Temperatures on
Agriculture Industry Increases Reliance on Advanced Farming
Technologies to Sustain Crop Production: Average Global
Surface Temperature (In Degrees Fahrenheit) for the Years
1940, 2000 and 2020
Increasing Mechanization of Agricultural Operations Boosts
Autonomous Farm Equipment Market
EXHIBIT 7: Percentage of Mechanization in Agriculture in Select
Countries
Declining Agricultural Land Productivity Sets the Stage for
Transformation in Farming
EXHIBIT 8: Global Availability of Arable Land in Hectares Per
Person for the Years 1990, 2000, 2018 and 2020
EXHIBIT 9: Arable Land Worldwide as a % of Total Land Area for
the Years 1990, 2000, 2018 and 2020
Growing Investments in Smart Farming & Increased Use of IoT in
Agriculture Preps the Market for Robust Growth
EXHIBIT 10: Rise of Smart Agriculture Sets the Stage for
Adoption of Automated Farming Techniques: Global Smart
Agriculture Market Worldwide (In US$ Billion) by Region/
Country for the Years 2020 & 2027
EXHIBIT 11: Increased Deployment of IoT in Agriculture
Strengthens the Business Case for Autonomous Farm Equipment:
Global Agricultural IoT Market (In US$ Billion) for the Years
2020, 2023 & 2026
Innovation in Advanced Robotics Plays a Key Role in the
Commercialization of Autonomous Farm Equipment
EXHIBIT 12: Continuous R&D in Robotics & the Ensuing Expansion
of the Robotics Market Fuels Market for Agricultural Robotic
Solutions: Global Market for Agricultural Robotics (In US$
Million) for the Years 2020, 2022 & 2024
Autonomous Robotics Find Growing Use in Farms
GPS Systems & Navigation Emerge to Be Indispensable in
Autonomous Farm Equipment
EXHIBIT 13: Technology Penetration of High-Precision GPS Vital
in Making Autonomous Vehicles a Reality: Global Positioning
Systems (GPS) Market Worldwide (In US$ Billion) for the Years
2019, 2022 and 2025
ISOBUS ISO11783 Standard Streamlines Development of Smart
Farming Equipment
Developments in Artificial Intelligence (AI), Machine Vision &
Machine Learning Remain Critical to Commercialization & Growth
EXHIBIT 14: Emerging Opportunities for AI in Agriculture to
Push Up the Innovation Index in the Market: Artificial
Intelligence (AI) in Agriculture Worldwide (In US$ Million)
for the Years 2019, 2022 and 2026
Rising Significance of Precision Agriculture: Potential
Opportunities for Autonomous Farm Equipment
EXHIBIT 15: Global Precision Farming Market (in US$ Million)
for the Years 2020, 2022, 2024 and 2026
EXHIBIT 16: Global Precision Farming Market by Application
(in %) for 2020
Government Budgets for Autonomous Agricultural Technology in
Support of Food Security Goals to Benefit Market Growth
EXHIBIT 17: Backed by Government Funding & Support, Automation
in Agriculture Gains Ground: Percentage Share (%) of
Government Expenditure on Agriculture in Total Budgets by
Region for the Years 2010, 2015, 2019 and 2021
Worsening Labor Shortages & Rising Labor Costs Drives Interest
in Autonomous Equipment
EXHIBIT 18: Shrinking Labor for Agriculture Raises the Need for
Automation: Percentage (%) of Agricultural Workers in the
Global Workforce for the Years 1992, 2019 & 2022
EXHIBIT 19: Contracting Agricultural Labor Drives Demand for
Autonomous Farm Equipment: Agricultural Employment as % of
Total Employment for the Period 2000-2020
EXHIBIT 20: Real Wages of Hired Farmworkers in the US (in $ Per
Hour) for the Period 2002-2019
Growing Farm Sizes and Increase in Corporate Farming Raises
Importance of Autonomous Farm Equipment
EXHIBIT 21: Farm Consolidation & Increase in Average Size of
Farm Pave the Way for the Deployment of Autonomous Farm
Equipment: Percentage Breakdown of Farm Land by Size and
Region
As a Bridge to Fully Autonomous Vehicles, Partially Autonomous
Vehicles Enjoy Significant Market Dominance
Driverless Tractors: The Future of Farming on Large Farmlands
Efficiency and Productivity Benefits of Autonomous Tractors
Translate into Better Crop Yields, Driving Market
Autonomous Vineyard Tractors to Provide Assistance to Growers
Increasing Need to Minimize Greenhouse Gas Emissions Fuel
Demand for Sustainable Autonomous Tractors
Advances in Autonomous Tractor Technologies to Fuel Market
Prospects
Agricultural Drones & Robots Emerge to Revolutionize Farming in
the 21st Century
EXHIBIT 22: Expanding Applications of Commercial Drones
Supported by Progressive Improvements in Functionality to Help
Autonomous Farm Equipment Cross the Chasm Between Early
Adoption to Mass Adoption: Global Commercial Drone Market:
(In US$ Billion) for the Years 2019, 2022 and 2024
Myriad Benefits Drive the Popularity of Automated Harvesters
EXHIBIT 23: Grain Loss During Harvesting Caused by Current
Generation Machines Drives Demand for Smart Autonomous
Harvesting Machines: Corn Head Kernel Loss While Harvesting
With a Combine Harvester
Technological Advancements in Autonomous Technologies to Boost
Market Prospects
Tractor Autopilot for Enhancing Farmer Productivity & Efficiency
Key Challenges Facing Autonomous Farm Equipment Market

4. GLOBAL MARKET PERSPECTIVE
Table 1: World Current & Future Analysis for Autonomous Farm
Equipment by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2020 through
2027 and % CAGR

Table 2: World 7-Year Perspective for Autonomous Farm Equipment
by Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets for Years 2021 & 2027

Table 3: World Current & Future Analysis for Partially
Autonomous by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2020 through
2027 and % CAGR

Table 4: World 7-Year Perspective for Partially Autonomous by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027

Table 5: World Current & Future Analysis for Fully Autonomous
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027
and % CAGR

Table 6: World 7-Year Perspective for Fully Autonomous by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027

Table 7: World Current & Future Analysis for Tractors by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027
and % CAGR

Table 8: World 7-Year Perspective for Tractors by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2021 & 2027

Table 9: World Current & Future Analysis for Harvesters by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027
and % CAGR

Table 10: World 7-Year Perspective for Harvesters by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2021 & 2027

Table 11: World Current & Future Analysis for Other Product
Types by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027
and % CAGR

Table 12: World 7-Year Perspective for Other Product Types by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027

III. MARKET ANALYSIS

UNITED STATES
Autonomous Farm Equipment Market in the US: An Overview
Driverless Tractors Poised for Growth in the Long Run
Market Analytics
Table 13: USA Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 14: USA 7-Year Perspective for Autonomous Farm Equipment
by Type – Percentage Breakdown of Value Sales for Partially
Autonomous and Fully Autonomous for the Years 2021 & 2027

Table 15: USA Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 16: USA 7-Year Perspective for Autonomous Farm Equipment
by Product Type – Percentage Breakdown of Value Sales for
Tractors, Harvesters and Other Product Types for the Years 2021 &
2027

CANADA
Table 17: Canada Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 18: Canada 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 19: Canada Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 20: Canada 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

JAPAN
Market Overview
Market Analytics
Table 21: Japan Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 22: Japan 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 23: Japan Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 24: Japan 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

CHINA
Table 25: China Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 26: China 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 27: China Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 28: China 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

EUROPE
Autonomous Tractors Market in Europe: Long-term Prospects
Remain Positive
Market Analytics
Table 29: Europe Current & Future Analysis for Autonomous Farm
Equipment by Geographic Region – France, Germany, Italy, UK and
Rest of Europe Markets – Independent Analysis of Annual Sales
in US$ Million for Years 2020 through 2027 and % CAGR

Table 30: Europe 7-Year Perspective for Autonomous Farm
Equipment by Geographic Region – Percentage Breakdown of Value
Sales for France, Germany, Italy, UK and Rest of Europe Markets
for Years 2021 & 2027

Table 31: Europe Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 32: Europe 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 33: Europe Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 34: Europe 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

FRANCE
Table 35: France Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 36: France 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 37: France Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 38: France 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

GERMANY
Table 39: Germany Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 40: Germany 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 41: Germany Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 42: Germany 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

ITALY
Table 43: Italy Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 44: Italy 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 45: Italy Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 46: Italy 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

UNITED KINGDOM
Table 47: UK Current & Future Analysis for Autonomous Farm
Equipment by Type – Partially Autonomous and Fully Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 48: UK 7-Year Perspective for Autonomous Farm Equipment
by Type – Percentage Breakdown of Value Sales for Partially
Autonomous and Fully Autonomous for the Years 2021 & 2027

Table 49: UK Current & Future Analysis for Autonomous Farm
Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 50: UK 7-Year Perspective for Autonomous Farm Equipment
by Product Type – Percentage Breakdown of Value Sales for
Tractors, Harvesters and Other Product Types for the Years 2021 &
2027

REST OF EUROPE
Table 51: Rest of Europe Current & Future Analysis for
Autonomous Farm Equipment by Type – Partially Autonomous and
Fully Autonomous – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 52: Rest of Europe 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 53: Rest of Europe Current & Future Analysis for
Autonomous Farm Equipment by Product Type – Tractors,
Harvesters and Other Product Types – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027
and % CAGR

Table 54: Rest of Europe 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

ASIA-PACIFIC
India Jumps on the Autonomous Tractors Bandwagon
Government Initiatives to Benefit Market
Market Analytics
Table 55: Asia-Pacific Current & Future Analysis for Autonomous
Farm Equipment by Type – Partially Autonomous and Fully
Autonomous – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 56: Asia-Pacific 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 57: Asia-Pacific Current & Future Analysis for Autonomous
Farm Equipment by Product Type – Tractors, Harvesters and Other
Product Types – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 58: Asia-Pacific 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

REST OF WORLD
Table 59: Rest of World Current & Future Analysis for
Autonomous Farm Equipment by Type – Partially Autonomous and
Fully Autonomous – Independent Analysis of Annual Sales in US$
Million for the Years 2020 through 2027 and % CAGR

Table 60: Rest of World 7-Year Perspective for Autonomous Farm
Equipment by Type – Percentage Breakdown of Value Sales for
Partially Autonomous and Fully Autonomous for the Years 2021 &
2027

Table 61: Rest of World Current & Future Analysis for
Autonomous Farm Equipment by Product Type – Tractors,
Harvesters and Other Product Types – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027
and % CAGR

Table 62: Rest of World 7-Year Perspective for Autonomous Farm
Equipment by Product Type – Percentage Breakdown of Value Sales
for Tractors, Harvesters and Other Product Types for the Years
2021 & 2027

IV. COMPETITION
Total Companies Profiled: 66
Read the full report: https://www.reportlinker.com/p05818534/?utm_source=GNW

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Artificial Intelligence

Exploring the Surge in Digital Infrastructure Spending Driven by Generative AI Innovations

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USA News Group Commentary Issued on behalf of Avant Technologies Inc.
VANCOUVER, BC, May 7, 2024 /PRNewswire/ — USA News Group – The rise of generative AI is currently adding considerable potential for accelerating economic growth across a wide array of sectors. In order to fully realize this potential, analysts at ING are highlighting how crucial investment in data and digital infrastructure will be moving forward. Citing estimates from Dell’Oro and Bank of America, ING has pointed out that investments from big tech companies in digital infrastructure is expected to grow between 15-22% this year alone. Another report from analysts at SNS Insider are projecting the AI Infrastructure Market to hit US$222.42 billion by 2030, growing at an explosive CAGR of 25.5%. Behind the scenes, developments in AI infrastructure are being made and provided by a variety of tech companies that include Avant Technologies Inc. (OTCQB: AVAI), Vertiv Holdings Co (NYSE: VRT), Equinix, Inc. (NASDAQ: EQIX), Innodata Inc. (NASDAQ: INOD), and Salesforce, Inc. (NYSE: CRM).

Earlier this year, Avant Technologies Inc. (OTCQB: AVAI) took a significant step in expanding the capabilities of its flagship AvantAI platform, reinforcing its position as one of the first companies to market generative AI. So far, this enhancement has focused on advancing its high-performance data center infrastructure to accommodate the latest developments in AI technology, including the launch of its state-of-the-art supercomputing network and comprehensive licensable data set. As per the launch, Avant’s platform works in collaboration with tech partners Wired4Health, which the company would later acquire and name its former CFO William Hisey as its new CEO.
“Avant’s supercomputing network and our expansive licensable dataset will facilitate significant advancements in AIdriven solutions,” said Danny Rittman, Chief Information Officer of Avant of the launch. “By providing robust computational resources and a rich dataset, Avant is set to eliminate many of the technical and financial barriers that have traditionally hampered AI development. This initiative aims to empower developers with the tools necessary to create more sophisticated and efficient AI models, driving progress and innovation in innumerable fields.”
Providing even more security for its prospective clients, Avant Technologies has also announced its plans to implement AI-empowered, Zero Trust Architecture (ZTA) across its data center operations. In AI-empowered data centers, Zero Trust Architecture ensures that all users and devices are continuously authenticated and verified before accessing network resources.
“By integrating AI with Zero Trust Architecture, we are creating a robust and future-proof security framework for our data centers,” said William Hisey, Avant’s  newly-appointed CEO. “This combined approach ensures the highest level of security for our customers’ data while optimizing data center operations for efficiency and cost-effectiveness. Avant is committed to providing innovative technology to help businesses optimize data center operations, improve resource utilization, and enhance security.”
Recently, Avant Technologies also expanded its AvantAI™ platform to include smart, proactive monitoring and management for data centers. AvantAI™ boosts data center efficiency through real-time monitoring and proactive management, helping to ensure systems operate continuously and perform optimally. It also uses extensive data analysis to predict and prevent potential issues and dynamically adjusts resources to enhance data traffic efficiency and responsiveness.
Working to further bolster the AI revolution, Vertiv Holdings Co (NYSE: VRT) saw 60% growth in organic orders of its critical digital infrastructure and continuity solutions in Q1 2024 compared to the same time period the year prior, along with 8% higher net sales.
As well, Vertiv saw a 42% increase in its adjusted operating profit to $249 million, compared to Q1 2024, as the company pointed towards continued acceleration in the data center market, including the deployment of high-performance compute, and increased velocity in its opportunity pipeline to orders.
“We are seeing order patterns with longer lead times based on customer build schedules, largely in 2025 and beyond, suggesting AI is starting to scale,” said Giordano Albertazzi, CEO of Vertiv. “We are continuing to advance our portfolio to enable high-density and GPU based deployments. With our global capacity, the most complete portfolio of critical digital infrastructure solutions across the entire thermal and power technology spectrum, vast global service network and alignment with key technology partners, Vertiv is uniquely positioned and ready to bring scale and support development of the entire AI ecosystem.”
Digital infrastructure company Equinix, Inc. (NASDAQ: EQIX) recently announced a joint venture with PGIM Real Estate for a $600 million project to develop and operate the first xScale data center in the US, located in California’s Silicon Valley. Together, Equinix and PGIM had already successfully opened the first xScale data center in Australia in 2022, after a similar US$575 million JV was announced in 2021.
Under the terms of the agreement, PGIM Real Estate will control an 80% equity interest in the JV, while Equinix will own the remaining 20% equity interest. Equinix xScale data centers allow hyperscale companies to expand their core deployments within Equinix IBX data centers. This setup supports growth across more than 70 global metros on a unified platform that facilitates direct interconnections with over 10,000 customers.
The new joint venture, alongside Equinix’s existing hyperscale collaborations in Europe, Asia-Pacific, and the Americas, will enhance the global xScale data center portfolio. Once fully constructed, this expansion will exceed $8 billion across more than 35 facilities, providing over 725 megawatts of power capacity.
Building upon the confidence of one of its existing “Magnificent Seven” Big Tech customers, Innodata Inc. (NASDAQ: INOD) recently announced it has been awarded three new large language model (LLM) development programs, totaling approximately $20 million of additional annualized run rate revenue. Before these new awards, the annualized run rate revenue from the customer was about $23 million. Innodata anticipates signing an amendment to its agreement with this customer that will reflect these awards within the next few weeks. Work on the newly awarded programs has already started by Innodata.
“We are very excited to announce this significant expansion,” saidJack Abuhoff, CEO of Innodata. “Moreover, we anticipate potential opportunities for further expansion in 2024. The customer continues to express how our high-quality, large-scale, custom data results in superior fine-tuning of their LLMs and that their AI engineering teams greatly value the Innodata partnership.”
Innodata provides large technology companies with scaled data services for refining LLMs and offers LLM evaluation services. By the end of 2023, Innodata had secured five of the top seven major tech firms as clients for its LLM services.
With its own array of big tech allies, Salesforce, Inc. (NYSE: CRM) recently unveiled its Zero Copy Partner Network, a global ecosystem of technology and solution providers building secure, bidirectional zero copy integrations with Salesforce Data Cloud which integrates both structured and unstructured customer data into a comprehensive 360-degree view accessible within Salesforce itself. This integration enables teams to make informed decisions directly within their workflow.
“In today’s digital landscape, companies struggle with islands of data spread across various systems,” said Brian Millham, President and Chief Operating Officer at Salesforce. “With this global ecosystem of partners, companies can access all of their data, no matter where it resides, and unlock the power of all of that data within Salesforce — creating more personalized customer interactions and establishing a foundation for trusted AI, in less time and at lower cost.”
The network will feature a list of initial partners that will include such big names as Amazon Web Services (AWS), Databricks, Google Cloud, and Snowflake, while also adding Microsoft. Together, the network partners are all committed to zero copy integrations with Salesforce that give customers a secure and cost-effective way to connect and take action on all of their data.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/ 
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nodeQ Launches PQtunnel™: The Leading-Edge Cybersecurity Solution for Quantum-Safe Communication

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nodeq-launches-pqtunnel™:-the-leading-edge-cybersecurity-solution-for-quantum-safe-communication

The latest application developed by nodeQ simplifies the migration to Post-Quantum Cryptography for both SMEs and large enterprises
YORK, England, May 7, 2024 /PRNewswire/ — The advent of Quantum Computing poses a significant threat to existing public-key cryptosystems. A large quantum computer can break algorithms like RSA or ECDH, which form the backbone of current internet security. Already today, confidential data is in danger: It can be harvested now to be decrypted later when a quantum computer can run Shor’s factorization quantum algorithm on a sufficiently large number of qubits.

This vulnerability exposes a large number of applications to potential security breaches, threatening our trillion-dollar digital economy. Multiple sectors are under threat: Financial Institutions, government entities, telecommunications companies, cloud providers, the healthcare industry, the defense sector, universities and research centers, and virtually any IT-based enterprise that relies on encrypted data.
Companies must transition IT infrastructures to quantum-resistant solutions, such as Post-Quantum Cryptography (PQC). In the US the transition to PQC is set to start in 2024, as a result of Biden’s 2022 Computing Cybersecurity Preparedness Act and the end of NIST standardization.
nodeQ has developed PQtunnel™, a groundbreaking tool designed to assist businesses – ranging from SMEs to large enterprises – in transitioning their end-to-end (E2E) secure communication to PQC. This innovative software application is available in two variants: PQtunnel™ TLS and PQtunnel™ SSH, meeting diverse business requirements.
PQtunnel™ TLS is an enterprise-oriented tunneling application that leverages the Transport Layer Security (TLS) protocol to secure traffic between a client (or a proxy) and the target application. This solution has been thoroughly tested on various enterprise-grade applications, such as GitLab EE, demonstrating its effectiveness and reliability.
On the other hand, PQtunnel™ SSH offers a comprehensive Quantum-Safe SSH server, alongside a client equipped with a user-friendly interface. This software suite is designed for secure shell operations, ensuring the highest level of security and ease of use.
Both PQtunnel™ variants utilize a wide range of PQC algorithms, including the most recent ones under standardization by NIST, and hybrid algorithms. This approach combines the stability of current cryptographic methods with the quantum-safeness of new cryptographic suites, offering unmatched security against emerging cyber threats.
Developed as cloud-native applications, both variants of PQtunnel™ are designed to facilitate easy distribution and provide flexibility in a wide range of scenarios. Secure Post-Quantum tunneling to your GitLab server, quantum-safe data transfer, secure cloud IT management, and PQC benchmarking are just a few of the use cases where PQtunnel™ can be applied, showcasing its versatility and significance for today’s cybersecurity landscape.
Ignazio Pedone, the cybersecurity lead at nodeQ, emphasized the significance of their latest security product, stating, “This security product represents an important step towards a more effective and robust application of quantum-safe cryptography for enterprises.”
Various early customers have already adopted PQtunnel™ to test their readiness to migrate to quantum-safe cryptography. PQC is going to play an important role for telecom operators.
“At Fibraweb, PQtunnel demonstrated our readiness for quantum-security migration,” says Walid Bounassif, CEO of Fibraweb (an Italian telco). “The software created quantum-resistant connections between external clients and our internal servers, showing that post-quantum encrypted communication can efficiently be implemented for remote IT administration and secure file transfer.”
PQC is essential for medium to large enterprises, including educational institutions like universities, where maintaining data confidentiality at various levels is crucial. At the University of York (UK), PQtunnel™ has been deployed for the quantum-safe transfer of documents. This pioneering demonstration, the first of its kind in the world within the education sector, actively involved staff and students from the Department of Computer Science.
“PQtunnel has effectively established high-speed, quantum-resistant connections both within and beyond the campus perimeter,” says Prof Paul Cairns (Head of the Computer Science Department at the University of York, UK). “This technology has clearly demonstrated its capacity for facilitating quantum-secure data transfers, affirming its readiness to enhance our university’s digital infrastructure.”
For additional information about PQtunnel™, nodeQ, and their range of products, the reader can visit their website at www.nodequantum.com.
 Key Features

Crypto-Agility: implements all NIST PQC algorithms to counteract the quantum threat.
Cross-Platform: available for the most adopted operating systems and hardware architectures.
Easy Setup: no need for long or complex installation procedures to get started.
On-the-Fly Benchmarking and Optimization: can benchmark and optimize high-level security protocols against all the available combinations of PQC algorithms for key exchange and digital signature.

Target Customers

Financial Institutions
Telecommunications Companies
Universities and Research Centers
Cloud Providers
Healthcare Industry
Government Entities
Defense Sector
Manufacturing Companies
SMEs handling confidential data

About nodeQ
At nodeQ, we are pioneering the future of computer networks, leveraging our deep expertise in quantum communication, artificial intelligence, and software-defined networking. Our primary objective is to transition computer networks to quantum security, placing a critical emphasis on maintaining speed, performance, and usability at the heart of this transformation.
Contacts
Stefano Pirandola
[email protected]
Request a demo or a brochure at [email protected] or visit www.nodequantum.com.
Photo – https://mma.prnewswire.com/media/2406722/PQtunnel_Graphics.jpg
View original content:https://www.prnewswire.co.uk/news-releases/nodeq-launches-pqtunneltm-the-leading-edge-cybersecurity-solution-for-quantum-safe-communication-302138586.html

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Artificial Intelligence

nodeQ Launches PQtunnelTM: The Leading-Edge Cybersecurity Solution for Quantum-Safe Communication

Published

on

nodeq-launches-pqtunneltm:-the-leading-edge-cybersecurity-solution-for-quantum-safe-communication

The latest application developed by nodeQ simplifies the migration to Post-Quantum Cryptography for both SMEs and large enterprises
YORK, England, May 7, 2024 /PRNewswire/ — The advent of Quantum Computing poses a significant threat to existing public-key cryptosystems. A large quantum computer can break algorithms like RSA or ECDH, which form the backbone of current internet security. Already today, confidential data is in danger: It can be harvested now to be decrypted later when a quantum computer can run Shor’s factorization quantum algorithm on a sufficiently large number of qubits.

This vulnerability exposes a large number of applications to potential security breaches, threatening our trillion-dollar digital economy. Multiple sectors are under threat: Financial Institutions, government entities, telecommunications companies, cloud providers, the healthcare industry, the defense sector, universities and research centers, and virtually any IT-based enterprise that relies on encrypted data.
Companies must transition IT infrastructures to quantum-resistant solutions, such as Post-Quantum Cryptography (PQC). In the US the transition to PQC is set to start in 2024, as a result of Biden’s 2022 Computing Cybersecurity Preparedness Act and the end of NIST standardization.
nodeQ has developed PQtunnel™, a groundbreaking tool designed to assist businesses – ranging from SMEs to large enterprises – in transitioning their end-to-end (E2E) secure communication to PQC. This innovative software application is available in two variants: PQtunnel™ TLS and PQtunnel™ SSH, meeting diverse business requirements.
PQtunnel™ TLS is an enterprise-oriented tunneling application that leverages the Transport Layer Security (TLS) protocol to secure traffic between a client (or a proxy) and the target application. This solution has been thoroughly tested on various enterprise-grade applications, such as GitLab EE, demonstrating its effectiveness and reliability.
On the other hand, PQtunnel™ SSH offers a comprehensive Quantum-Safe SSH server, alongside a client equipped with a user-friendly interface. This software suite is designed for secure shell operations, ensuring the highest level of security and ease of use.
Both PQtunnel™ variants utilize a wide range of PQC algorithms, including the most recent ones under standardization by NIST, and hybrid algorithms. This approach combines the stability of current cryptographic methods with the quantum-safeness of new cryptographic suites, offering unmatched security against emerging cyber threats.
Developed as cloud-native applications, both variants of PQtunnel™ are designed to facilitate easy distribution and provide flexibility in a wide range of scenarios. Secure Post-Quantum tunneling to your GitLab server, quantum-safe data transfer, secure cloud IT management, and PQC benchmarking are just a few of the use cases where PQtunnel™ can be applied, showcasing its versatility and significance for today’s cybersecurity landscape.
Ignazio Pedone, the cybersecurity lead at nodeQ, emphasized the significance of their latest security product, stating, “This security product represents an important step towards a more effective and robust application of quantum-safe cryptography for enterprises.”
Various early customers have already adopted PQtunnel™ to test their readiness to migrate to quantum-safe cryptography. PQC is going to play an important role for telecom operators.
“At Fibraweb, PQtunnel demonstrated our readiness for quantum-security migration,” says Walid Bounassif, CEO of Fibraweb (an Italian telco). “The software created quantum-resistant connections between external clients and our internal servers, showing that post-quantum encrypted communication can efficiently be implemented for remote IT administration and secure file transfer.”
PQC is essential for medium to large enterprises, including educational institutions like universities, where maintaining data confidentiality at various levels is crucial. At the University of York (UK), PQtunnel™ has been deployed for the quantum-safe transfer of documents. This pioneering demonstration, the first of its kind in the world within the education sector, actively involved staff and students from the Department of Computer Science.
“PQtunnel has effectively established high-speed, quantum-resistant connections both within and beyond the campus perimeter,” says Prof Paul Cairns (Head of the Computer Science Department at the University of York, UK). “This technology has clearly demonstrated its capacity for facilitating quantum-secure data transfers, affirming its readiness to enhance our university’s digital infrastructure.”
For additional information about PQtunnel™, nodeQ, and their range of products, the reader can visit their website at www.nodequantum.com.
 Key Features
Crypto-Agility: implements all NIST PQC algorithms to counteract the quantum threat.Cross-Platform: available for the most adopted operating systems and hardware architectures.Easy Setup: no need for long or complex installation procedures to get started.On-the-Fly Benchmarking and Optimization: can benchmark and optimize high-level security protocols against all the available combinations of PQC algorithms for key exchange and digital signature.Target Customers
Financial InstitutionsTelecommunications CompaniesUniversities and Research CentersCloud ProvidersHealthcare IndustryGovernment EntitiesDefense SectorManufacturing CompaniesSMEs handling confidential dataAbout nodeQ
At nodeQ, we are pioneering the future of computer networks, leveraging our deep expertise in quantum communication, artificial intelligence, and software-defined networking. Our primary objective is to transition computer networks to quantum security, placing a critical emphasis on maintaining speed, performance, and usability at the heart of this transformation.
Contacts
Stefano [email protected]
Request a demo or a brochure at [email protected] or visit www.nodequantum.com.
Photo – https://mma.prnewswire.com/media/2406722/PQtunnel_Graphics.jpg

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