The global autonomous agents market size is predicted to gain swift growth from 2023 to 2033. According to the research report published by Future Market Insights, the global market is predicted to surpass a valuation of US$ 1,790.4 million in 2023. It is anticipated to achieve a valuation of US$ 210,664.3 million by 2033. The market is projected to thrive at an astronomical CAGR of 32.6% from 2023 to 2033.
With the growing need to handle unstructured and complex data sets, the deployment of autonomous agents has boosted the market growth for consumer automation. An increase in reliance on cloud-based solutions and artificial intelligence technologies is a contributing factor to the market growth. As financial conditions improve due to improvements in technology, and as demand increases for enhanced agility and automation, the market is likely to keep expanding.
Computer agents (AI) are autonomous, that make decisions based on the circumstances they are faced with independently and without the direct involvement of humans. Currently, autonomous agents perform various functions including trading on financial markets, operating vehicles, and controlling machinery. As the scope of these systems may significantly increase in the near future, it is imperative to understand the risks and benefits of these systems, and, most importantly, to develop new methods for predicting and controlling them.
The applicability of AAs to creating decentralized finance applications (DeFi) is best defined in circumstances where a high degree of certainty about the performance of the applications is required in extreme situations.
Brands across the globe are seeking solutions to meet the increased need for online services as customers adapt to the post-pandemic normal and prefer to stay at home. Companies have found it challenging to maintain a workforce for customer assistance in light of the sudden, significant increase in e-commerce. A growing online customer base is forcing brands to rely on technological advancements to counteract a lack of manpower.
The use of AI-powered virtual autonomous agents is becoming common in helping brands ease the customer journey. The development of virtual autonomous agents is helping them find applications in the personal sector, which helps users keep up with day-to-day activities like home maintenance and gardening to budgeting and investing.
| Attribute | Details |
|---|---|
| Autonomous Agents Market Share (2022) | US$ 1,366.7 million |
| Autonomous Agents Market Share (2023) | US$ 1,790.4 million |
| Autonomous Agents Market Share (2033) | US$ 210,664.3 million |
| Autonomous Agents Market Share (2023 to 2033) | 32.6% |
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The global autonomous agents industry size developed at a CAGR of 24.0% from 2018 to 2022. In 2018, the global market size stood at US$ 470.5 million. In the following years, the market witnessed tremendous growth, accounting for US$ 1,366.7 million in 2022.
Use of autonomous agents can assist reduce hazards and improve safety in sectors including transportation, manufacturing, and healthcare. Autonomous cars, for instance, can lower the possibility of human mistake when driving, resulting in few accidents.
Autonomous robots can carry out activities that might be risky for people to conduct in unsafe locations. Autonomous agents become valuable as a result of their capacity to operate in such settings.
According to this report, the huge reason behind the exponential growth of the AI industry can be attributed to the factors such as:
Investments and adoption work as a means of increasing their productivity and efficiency. AI applications from various industries are gaining prominence in the autonomous agent market, and this is an important factor driving the growth of the market.
An increase in the speed and capability of parallel computing is a key factor that promotes market growth. Similarly, a few more key factors that contribute greatly toward fueling market growth include:
There are several business verticals where mobile platforms and decision-making autonomy are becoming increasingly important in the future. Assembling autonomous agents to perform tasks may improve the quality of the user's experience. In addition, autonomous agents are becoming increasingly popular with end users, due to their constant improvement in performance, a great ability to access information in real time, and scalability.
A rise in the number of autonomous agents being used in intelligent factories, smart homes, robots, and self-driving vehicles has provided significant opportunities for market growth. There are a few more factors that are estimated to offer vital opportunities for the market are:
Principal Consultant
Autonomous agents are known to be highly capital-intensive, and this is one of the reasons why their market growth has slowed down in the market. Additionally, AA's market share has declined further due to issues related to unsupervised learning, the high investment needed in converting unstructured data into structured data, and other business considerations.
The lack of skilled workers and standard procedures are among the main constraints affecting market growth. In addition, the increasing complexity of networks as well as the security concerns regarding consumer data had a direct impact on the slowdown of the market growth.
Among the deployment types, the on-premises segment is anticipated to contribute hugely to the autonomous agents market growth in the forecast period. It is due to the growing adoption of artificial intelligence across several enterprise organizations. In 2022, the on-premise deployment segment captured 65.5% share in the global market.
Organizations that deploy autonomous agent solutions on premises require a substantial initial investment by the enterprise, however, they do not incur incremental costs after the first few months of ownership, as they do for cloud deployments. As security prices continue to rise and maintenance costs of on-premises solutions increase, the market for on-premises autonomous agents have seen a steady rise in sales.
Market analysts estimate that the market is likely to reach a CAGR of 32.3% during the forecast period. There is a risk associated with the use of customers' private data which is one of the main reasons why companies prefer to use on-premises deployments over cloud-based deployments. There is a growing trend for large enterprises to deploy these types of deployments in the market.
Based on verticals, autonomous agents have been classified into BFSI, IT, and telecommunications, healthcare, manufacturing, transportation, and mobility. In the global market for autonomous agents, the IT and telecommunications segments are predicted to grow swiftly.
With the advent of coordinated infrastructures, the telecommunications industry has been able to create sophisticated systems, including software-based network architecture and virtualizing web applications. The growth of artificial intelligence and cloud computing, as well as the use of machine learning to automate networks in sales forces, have also been key factors driving the growth of the autonomous agents market.
Intelligent and optimized network operations are key for the vertical as they cater to the needs of communications service providers. The IT and telecommunications market is forecasted to expand at a CAGR of 29.2% during the forecast period. Nevertheless, most of the AI in these applications is limited to statistical analysis and big data tools, however, the need for autonomous agents is expected to skyrocket in the upcoming years.
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A rising number of IT firms in developing nations as well as the development of technology have further boosted the demand for autonomous agents. With efforts in both the private and public sectors, China is offering leadership in AI investment and adoption in EMs. . China accounted for 30.4% share in the global market in 2022.
The government of China has launched a comprehensive AI strategy for 2030 and companies such as Baidu and Didi have notably invested in AI research, which may lead to new opportunities for Asia Pacific market.
Over the forecast period, Japan is projected to achieve a CAGR of 30.6% in 2033. South Korea's market is predicted to expand by 29.7% CAGR in the coming years due to the increase in cloud storage and the growth of SMEs in this region. On the other hand, technological companies are turning toward cloud-based deployment models to enable fast deployment, enhanced data security, and great market reliability.
North American region is projected to experience significant growth in the upcoming period. In this region, companies are buying and forming alliances with key companies in the autonomous agent industry to enhance their customer base. Furthermore, Canada and the United States are among the world's advanced countries and are thus increasingly contributing to the implementation of emerging technologies.
By 2033, the United States autonomous agents market is expected to flourish at a CAGR of 32.4%, mainly because cloud-based solutions are being increasingly deployed and many companies are using robots in various verticals of the market. In 2022, the United States captured a 17.3% share of the global market.
Based on the region's early adoption of AI automation and subsequent technological innovations, autonomous agents in the transportation industry market are experiencing notable growth in the United States.
The global autonomous agents market is forecasted to be dominated by Europe over the forecast period. As a result of the in-depth development of economies in the region, there is an expected increase in funding opportunities in the autonomous agent technology sector. During the forecast period, the autonomous agents market in the United Kingdom is predicted to expand at a compound annual growth rate of 31.3%.
In 2022, the United Kingdom captured a 32.9% share in the global market. The growth of companies’ manufacturing robots in the United Kingdom and the high use of automation agents in the e-commerce industry is likely to lead to a growing demand for autonomous agents in the region.
| Countries | CAGR Share in Global Market (2022) |
|---|---|
| The United States | 17.3% |
| The United Kingdom | 32.9% |
| China | 30.4% |
| Japan | 6.5% |
| India | 34.5% |
What is the Level of Competition for Autonomous Agents in the Market?
By partnering with strategic organizations, manufacturers can increase production and meet consumer demands, thereby increasing their revenues as well as market share. End-users can reap the benefits of new technologies through the introduction of new products and technologies. A strategic partnership has the potential to increase the production capacity of a company.
Recent Developments Observed by FMI:
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ million for Value |
| Key Regions Covered | North America; Latin America; Europe; Asia Pacific; The Middle East & Africa (MEA) |
| Key Countries Covered | The United States, Canada, Germany, The United Kingdom, Nordic, Russia, BENELUX, Poland, France, Spain, Italy, Czech Republic, Hungary, Rest of EMEAI, Brazil, Peru, Argentina, Mexico, South Africa, Northern Africa, GCC Countries, China, Japan, South Korea, India, ASIAN, Thailand, Malaysia, Indonesia, Australia, New Zealand, Others |
| Key Segments Covered | Deployment Type, Organization Size, Vertical, Region |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Trend Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The global market value is pegged at US$ 1,790.4 million for the year 2023.
The global market size was around US$ 1,366.7 million in 2022.
Higher adoption of AI technologies in businesses is driving the market.
The global market value is expected to follow 32.6% CAGR through 2033.
Top market players are IBM, SAP, Infosys, and AWS.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Development Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Development Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Development Type, 2023 to 2033
5.3.1. On-premises
5.3.2. Cloud-based
5.4. Y-o-Y Growth Trend Analysis By Development Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Development Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033
6.3.1. SMEs
6.3.2. Large Enterprises
6.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
7.3.1. BFSI
7.3.2. IT and Telecom
7.3.3. Manufacturing
7.3.4. Healthcare
7.3.5. Transportation and Mobility
7.3.6. Others
7.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. South Asia
8.3.5. East Asia
8.3.6. Oceania
8.3.7. MEA
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. The USA
9.2.1.2. Canada
9.2.2. By Development Type
9.2.3. By Organization Size
9.2.4. By Vertical
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Development Type
9.3.3. By Organization Size
9.3.4. By Vertical
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Development Type
10.2.3. By Organization Size
10.2.4. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Development Type
10.3.3. By Organization Size
10.3.4. By Vertical
10.4. Key Takeaways
11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. United Kingdom
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Development Type
11.2.3. By Organization Size
11.2.4. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Development Type
11.3.3. By Organization Size
11.3.4. By Vertical
11.4. Key Takeaways
12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Malaysia
12.2.1.3. Singapore
12.2.1.4. Thailand
12.2.1.5. Rest of South Asia
12.2.2. By Development Type
12.2.3. By Organization Size
12.2.4. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Development Type
12.3.3. By Organization Size
12.3.4. By Vertical
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Development Type
13.2.3. By Organization Size
13.2.4. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Development Type
13.3.3. By Organization Size
13.3.4. By Vertical
13.4. Key Takeaways
14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Australia
14.2.1.2. New Zealand
14.2.2. By Development Type
14.2.3. By Organization Size
14.2.4. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Development Type
14.3.3. By Organization Size
14.3.4. By Vertical
14.4. Key Takeaways
15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Development Type
15.2.3. By Organization Size
15.2.4. By Vertical
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Development Type
15.3.3. By Organization Size
15.3.4. By Vertical
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Development Type
16.1.2.2. By Organization Size
16.1.2.3. By Vertical
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Development Type
16.2.2.2. By Organization Size
16.2.2.3. By Vertical
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Development Type
16.3.2.2. By Organization Size
16.3.2.3. By Vertical
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Development Type
16.4.2.2. By Organization Size
16.4.2.3. By Vertical
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Development Type
16.5.2.2. By Organization Size
16.5.2.3. By Vertical
16.6. United Kingdom
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Development Type
16.6.2.2. By Organization Size
16.6.2.3. By Vertical
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Development Type
16.7.2.2. By Organization Size
16.7.2.3. By Vertical
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Development Type
16.8.2.2. By Organization Size
16.8.2.3. By Vertical
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Development Type
16.9.2.2. By Organization Size
16.9.2.3. By Vertical
16.10. India
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Development Type
16.10.2.2. By Organization Size
16.10.2.3. By Vertical
16.11. Malaysia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Development Type
16.11.2.2. By Organization Size
16.11.2.3. By Vertical
16.12. Singapore
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Development Type
16.12.2.2. By Organization Size
16.12.2.3. By Vertical
16.13. Thailand
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Development Type
16.13.2.2. By Organization Size
16.13.2.3. By Vertical
16.14. China
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Development Type
16.14.2.2. By Organization Size
16.14.2.3. By Vertical
16.15. Japan
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Development Type
16.15.2.2. By Organization Size
16.15.2.3. By Vertical
16.16. South Korea
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Development Type
16.16.2.2. By Organization Size
16.16.2.3. By Vertical
16.17. Australia
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Development Type
16.17.2.2. By Organization Size
16.17.2.3. By Vertical
16.18. New Zealand
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Development Type
16.18.2.2. By Organization Size
16.18.2.3. By Vertical
16.19. GCC Countries
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Development Type
16.19.2.2. By Organization Size
16.19.2.3. By Vertical
16.20. South Africa
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Development Type
16.20.2.2. By Organization Size
16.20.2.3. By Vertical
16.21. Israel
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Development Type
16.21.2.2. By Organization Size
16.21.2.3. By Vertical
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Development Type
17.3.3. By Organization Size
17.3.4. By Vertical
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. IBM
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. SAP
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. AWS
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. SAS
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Infosys
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Nuance Communications
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Fico
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Affectiva
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Intel
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Fetch.ai
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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Autonomous Agents Market
