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:
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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
