Augmented Intelligence Market Synopsis

Augmented Intelligence Market Size Was Valued at USD 23.57 Billion in 2023 and is Projected to Reach USD 192.76 Billion by 2032, Growing at a CAGR of 26.3% From 2023-2032.

Augmented Intelligence more concisely known as intelligence augmentation (IA), is an umbrella concept that highlights the increase of people’s intellect by technology. While artificial intelligence focuses on the development of machines with the ability to reason independently and make their own decisions augmented intelligence on the other hand involve a harmonious partnership between people and their tools. Its cooperative partnership aims at capitalizing on the benefits of both, deploying the computing, data and analytical capacity and warto, while at the same time, tapping on the decision-making, creativity and work efficiency of the human side.

• Augmented intelligence differs from artificial intelligence in that the focus of augmented intelligence is not the substitution of human skills but rather the enhancements of these skills. This involves the utilization of artificial intelligence such as machine learning, natural language processing and data analytics where in terms of aiding humans, it offers them insights that may help in reformed decision making hence making or improving the quality and efficiency of decisions made by human beings.
• For example, in healthcare, the use of augmented intelligent systems can use large volumes of gathered medical data to facilitate physicians’ diagnoses and eventually come up with the right prognosis and treatment plan. It can be valuable in acquiring details about the market and providing data support for business executive decisions, determining industry patterns, and managing operational expenses.
• Augmented intelligence is a ubiquitous concept that is applied to different sectors of society such as the healthcare, finance sector, education and so on. Its significance is evident because it not only enhances qualifications for employees, but also acts to alter organizational processes. Augmenting intelligence: making sense of data and empowering people to interconnect with it in order to generate creative ideas and propel change. Moreover, it works to potential ethical issues in applying AI by positioning human beings as the core decision-makers, thereby preventing the emergence of AI-based technologies as mere tools that augment human efforts but rather tools that improve human existence and foster progress of society.

Augmented Intelligence Market Trend Analysis

Integration of AI and AR/VR technologies

• The combination with other technologies is the key to development within the emerging market of Augmented Intelligence, accompanied by AI together with AR and VR systems. Such a convergence thus creates opportunities for the development of more complex environments that are smarter and offer users/ clientele better living/using experiences as well as lower operating cost across the various pertinent industrial sectors. Using AI algorithms the precise data evaluation in real-time is possible, which can thus make the AR/VR applications much more responsive and interactive. For example, in the context of healthcare AI-based AR technologies may provide surgeons with some relevant information in the form of an overlay over surgery where some additional features concerning the surgery, patient, or a tool may be incorporated in the real time.
• Moreover, the integration of reflexivity techniques such as AI with AR/VR technologies continues propelling substantial impacts in training and education. computer assisted education can take into account learning preferences as well as learning rates for delivering the content effectively; on the other hand, AR/VR enhances participation and motivation by offering practical experience-based training platform. This is especially useful in areas with application in areas like aviation, military and technical trainings because realistic simulations can be used to promote acquisition and recall. For instance, in using an AI-based virtual reality system, pilots can rehearse numerous flight scenarios and receive prompt guidance and scores, which will enhance their responsiveness and effectiveness when handling real-life challenges.
• In the commercial sector, they are changing ways of interacting with consumers and ways of performing business through AI-integrated AR and VR technologies. Fashion retailers embrace AR to offer customers a virtual dressing area, and optimize it through AI about the consumer’s behavior. In manufacturing, AI-driven AR can greatly help the workers by display guiding instructions and simultaneously highlight errors on the objects which the workers are constructing and as such, enhance the speed of work and also, minimize on the time that the workers may take to notice those errors. This integration is beneficial and does not just improve efficiency, Ai and AR/VR innovations also pave the way for more technological developments in the augmented intelligence market.

Development of new augmented intelligence applications for various industries

• The emergence of new AI applications opens the door for development of new augmented intelligence applications which will be beneficial as well as challenging for the Augmented Intelligence Market, as it paves the way for advancement of many different industries through efficiency increase. Augmenting intelligence of modes of operation, which is the idea of blending artificial intelligence with human intelligence, allow industries to harness higher level of technology to enhance their decision-making. For instance, in the health sector, augmen-ted intelligence solutions can be used to help doctors diagnose diseases effectively and in a faster way than what is possible to achieve through manual evaluation and analysis of piles of data or recognizing possible patterns that the human eye cannot. It not only benefits the patients but also provides a solitaire solution to establish various new effective work processes to lessen the load on the doctors and other health care workers.
• Augmented intelligence applications are being used in the financial sector to help institutions make better decisions in risk management and in the identification and prevention of fraud, as well as, for selecting the best investments. These applications are designed to work on big data and data analytics algorithms, for machine learning to help financial analysts in real time by processing large quantities of data in order to augment the decision making capacities. This results to good risk management and enhanced performance, thereby putting the companies in a vantage point in business market that is constantly dynamic. Also, the initiative of augmented intelligence in the customer service provides results in increasing interactivity, customer satisfaction, and loyalty.
• The manufacturing industry will also get to reap significant gains from the use of augmented intelligence applications. These applications can help businesses to enhance productivity, reduce scrap, improve quality and timely predict the maintenance requirements which will lower the chances of wastage of time and money. Through the implementation of augmented intelligence in manufacturing systems, manufacturing businesses are in a position to attain increased levels of accuracy, resulting to improvement of productivity and thus the firm’s profitability. Moreover, augmented intelligence helps build smart production lines, to achieve efficient integration of computerized systems and data to innovate production lines and their overall management. In general, the continuously increasing use of augmented intelligence in various sectors seems to hold the key to the redefining of conventional patterns of doing business and the subsequent generation of massive market prospects.

Augmented Intelligence Market Segment Analysis:

Augmented Intelligence Market Segmented on the basis of Component, Technology, Enterprise Size, and End Use.

By Component, solutions segment is expected to dominate the market during the forecast period

• This market’s major portion is held by solutions and is influenced by the interaction of growth of key technologies and emerging applications. This segment includes software applications that help to improve decision-making process with the use of benefits of data analytics, machine learning and artificial intelligence tools. Solution in this segment consists of an array of capabilities such as chat bots for customers support, analytics, personalized suggestions, and other AI-enabled automation mechanisms. These solutions are being incorporated more frequently into the management and execution of business processes in an effort to enhance efficiency and to cut expenses. The demand for such complicated augment intelligence approaches like cognitive computing, natural language processing, and biometric recognition has been propelled by giants such as IBM, Microsoft, and Google.
• The solutions segment is set to dominate the global market has been stimulated by the increasing instances of AI technology application in diverse sectors. Businesses are using these solutions to create competitive advantage from the raw data through offering solutions that would help in processing the data. For instance, in the healthcare area, AI solutions help in identifying the disease, suggest the proper treatment trampoline, as well as forecast the outcome of a particular therapy. In the same way, the solutions are applied in assessment of risks, and in fighting of fraud, and in dealing through applications of automated trading in the financial services industry. By option for scaled, accurate and real-time analysis, augmented intelligence solutions are however quite crucial in enabling business organizations to come up with better solutions that help them compete in the highly competitive business environment.
• Moreover, the constant growth in economy and AI technology is extending the performance of augmented intelligence solutions while introducing easier to use interfaces and functions. This means that there is increased likelihood of the adoption and deployment of these technologies in the course of business operations. That is why companies are keen on implementing augmented intelligence solutions in order to meet the customer needs, manage resources effectively, and introduce automation. Therefore, the solutions segment is highly evolving and the company is unlikely to witness any shift from this segment in the near future in the augmented intelligence market.

By Technology, Machine Learning (ML) segment held the largest share in 2023

• In terms of the Augmented Intelligence market, there is division in sectors such as Machine Learning (ML), and it remains the most prominent sector. Artificial Intelligence includes Machine Learning which means that the computer can build Own Programmes to find out given particular data to make Predictions Or Decisions. This technology is the foundation of various applications of augmented intelligence and is responsible for considerable progress in fields like, prescriptive analytics, recommender system, and automatization. This inability to handle data volumes and visualizations is where the ML becomes integral, creating a form of augmented intelligence.
• Owing to the fact that the Machine Learning segment is broad and can be applied in a vast number of industries and fields, it has continued to dominate other segments. For example, in managing inventory, analyzing customer data through retail ML algorithm can be used to guide inventory storage, or in the retail advertisement, through ML algorithms, customer data can be used in the determination of the best advertisement techniques to be employed. ML models in healthcare include outbreak of diseases, helps in diagnosing diseases at initial stage and suggest personalized treatments for patients. Automotive companies employ ML for accident reconstruction, route optimization, and an accurate estimation of arrival times. The versatility of Machine Learning mechanics, added to the fact that it provides recommendations and results for a variety of tasks, reinforces its extensive use and progress.
• Also, introducing much more sophisticated trends and capabilities of ML enhancing its leadership in Augmented Intelligence market. Advanced techniques like deep learning, reinforcement learning and neural network help in development of the advanced and more efficient ML models. It has been seen that firms are using ML technologies as a tool for competitiveness and to support not only strategic and tactical decisions but also to serve as a tool for innovation. The same idea is supported by the necessity of using big data and real time analytics in modern world. Thus, it is imperative to note that Machine Learning as the core component of intelligent decision making and automation processes remains the leader of the augmented intelligence space.

Augmented Intelligence Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast Period

• North America is expected to continue its reign as the leading market for augmented intelligence on account of its robust technological foundation and innovation environment. Advanced AI and augmented intelligence are still emerging technologies in the business world, and the United States is at the vanguard of utilizing them; key technology firms like Google, Microsoft, IBM, amazon, among others, are based in the United states. It can also be noted that these companies have considerable capital and experience that will allow for quicker progression of AI advancements. In addition, defensed companies and universities in North America are active in the most modern AI research and development initiatives allowing for steady technological progress.
• The third and fourth relevant factors include the strong commitment of regional private and public institutions to AI and augmented intelligence. AI has more prominent players, such as venture capital firms and corporate investors, investing in AI startup firms and well-established enterprises to enable the development and diversification of the market. Support from governments and funding bodies also come into play in a big way; these having promised billions towards AI research and development across many plans and schemes. This financial support provides for greater advancement in the technology which also helps to maintain North America with the relevant premier position in the matters of AI functions.
• In addition, there is a presence of acceptable regulatory frameworks in North America to fuel the augmented intelligence market. The general legal frameworks for IS research in Canada and particularly in the USA are moderate and permissive to a certain extent providing opportunities for IS researchers to try out new things while maintaining the ethical benchmarks and respecting the privacy of data subjects. Moreover, North America has a large and technologically engaging population, which provides augmented intelligence with a global audience. The increasing number of organisations in healthcare, financial services, manufacturing, and other industries implementing AI-based systems to improve current processes is a major driver fuelling the growth of the market in the region.

Active Key Players in the Augmented Intelligence Market

• Amazon Web Services, Inc. (United States)
• Apple Inc. (United States)
• Baidu, Inc. (China)
• CognitiveScale Inc. (United States)
• Darktrace (United Kingdom)
• DataRobot, Inc. (United States)
• Google LLC (United States)
• H2O.ai (United States)
• IBM Corporation (United States)
• Infosys Limited (India)
• Intel Corporation (United States)
• Microsoft Corporation (United States)
• NVIDIA Corporation (United States)
• Oracle Corporation (United States)
• Palantir Technologies Inc. (United States)
• PTC Inc. (United States)
• Salesforce.com, Inc. (United States)
• SAP SE (Germany)
• SAS Institute Inc. (United States)
• Xilinx, Inc. (United States), Other Major Players.

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: Augmented Intelligence Market by Component
 4.1 Augmented Intelligence Market Snapshot and Growth Engine
 4.2 Augmented Intelligence Market Overview
 4.3 Hardware
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 Hardware: Geographic Segmentation Analysis
 4.4 Software
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Software: Geographic Segmentation Analysis
 4.5 Services
  4.5.1 Introduction and Market Overview
  4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.5.3 Key Market Trends, Growth Factors and Opportunities
  4.5.4 Services: Geographic Segmentation Analysis

Chapter 5: Augmented Intelligence Market by Input Signal
 5.1 Augmented Intelligence Market Snapshot and Growth Engine
 5.2 Augmented Intelligence Market Overview
 5.3 Discrete
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Discrete: Geographic Segmentation Analysis
 5.4 Analog
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Analog: Geographic Segmentation Analysis
 5.5 Protocol
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Protocol: Geographic Segmentation Analysis

Chapter 6: Augmented Intelligence Market by Connectivity
 6.1 Augmented Intelligence Market Snapshot and Growth Engine
 6.2 Augmented Intelligence Market Overview
 6.3 Wired
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Wired: Geographic Segmentation Analysis
 6.4 Wireless
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Wireless: Geographic Segmentation Analysis

Chapter 7: Augmented Intelligence Market by Application
 7.1 Augmented Intelligence Market Snapshot and Growth Engine
 7.2 Augmented Intelligence Market Overview
 7.3 Vehicle Augmented Intelligence
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Vehicle Augmented Intelligence: Geographic Segmentation Analysis
 7.4 Building Augmented Intelligence
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Building Augmented Intelligence: Geographic Segmentation Analysis
 7.5 Equipment Monitoring
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Equipment Monitoring: Geographic Segmentation Analysis
 7.6 Environmental Monitoring
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Environmental Monitoring: Geographic Segmentation Analysis

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Benchmarking
  8.1.2 Augmented Intelligence Market Share by Manufacturer (2023)
  8.1.3 Industry BCG Matrix
  8.1.4 Heat Map Analysis
  8.1.5 Mergers and Acquisitions
  
 8.2 AMAZON WEB SERVICES INC (UNITED STATES)
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Role of the Company in the Market
  8.2.5 Sustainability and Social Responsibility
  8.2.6 Operating Business Segments
  8.2.7 Product Portfolio
  8.2.8 Business Performance
  8.2.9 Key Strategic Moves and Recent Developments
  8.2.10 SWOT Analysis
 8.3 APPLE INC (UNITED STATES)
 8.4 BAIDU INC (CHINA)
 8.5 COGNITIVESCALE INC (UNITED STATES)
 8.6 DARKTRACE (UNITED KINGDOM)
 8.7 DATAROBOT INC (UNITED STATES)
 8.8 GOOGLE LLC (UNITED STATES)
 8.9 H2O AI (UNITED STATES)
 8.10 IBM CORPORATION (UNITED STATES)
 8.11 INFOSYS LIMITED (INDIA)
 8.12 INTEL CORPORATION (UNITED STATES)
 8.13 MICROSOFT CORPORATION (UNITED STATES)
 8.14 NVIDIA CORPORATION (UNITED STATES)
 8.15 ORACLE CORPORATION (UNITED STATES)
 8.16 PALANTIR TECHNOLOGIES INC (UNITED STATES)
 8.17 PTC INC (UNITED STATES)
 8.18 SALESFORCE COM INC (UNITED STATES)
 8.19 SAP SE (GERMANY)
 8.20 SAS INSTITUTE INC (UNITED STATES)
 8.21 XILINX INC (UNITED STATES)

Chapter 9: Global Augmented Intelligence Market By Region
 9.1 Overview
 9.2. North America Augmented Intelligence Market
  9.2.1 Key Market Trends, Growth Factors and Opportunities
  9.2.2 Top Key Companies
  9.2.3 Historic and Forecasted Market Size by Segments
  9.2.4 Historic and Forecasted Market Size By Component
   9.2.4.1 Hardware
   9.2.4.2 Software
   9.2.4.3 Services
  9.2.5 Historic and Forecasted Market Size By Input Signal
   9.2.5.1 Discrete
   9.2.5.2 Analog
   9.2.5.3 Protocol
  9.2.6 Historic and Forecasted Market Size By Connectivity
   9.2.6.1 Wired
   9.2.6.2 Wireless
  9.2.7 Historic and Forecasted Market Size By Application
   9.2.7.1 Vehicle Augmented Intelligence
   9.2.7.2 Building Augmented Intelligence
   9.2.7.3 Equipment Monitoring
   9.2.7.4 Environmental Monitoring
  9.2.8 Historic and Forecast Market Size by Country
   9.2.8.1 US
   9.2.8.2 Canada
   9.2.8.3 Mexico
 9.3. Eastern Europe Augmented Intelligence Market
  9.3.1 Key Market Trends, Growth Factors and Opportunities
  9.3.2 Top Key Companies
  9.3.3 Historic and Forecasted Market Size by Segments
  9.3.4 Historic and Forecasted Market Size By Component
   9.3.4.1 Hardware
   9.3.4.2 Software
   9.3.4.3 Services
  9.3.5 Historic and Forecasted Market Size By Input Signal
   9.3.5.1 Discrete
   9.3.5.2 Analog
   9.3.5.3 Protocol
  9.3.6 Historic and Forecasted Market Size By Connectivity
   9.3.6.1 Wired
   9.3.6.2 Wireless
  9.3.7 Historic and Forecasted Market Size By Application
   9.3.7.1 Vehicle Augmented Intelligence
   9.3.7.2 Building Augmented Intelligence
   9.3.7.3 Equipment Monitoring
   9.3.7.4 Environmental Monitoring
  9.3.8 Historic and Forecast Market Size by Country
   9.3.8.1 Bulgaria
   9.3.8.2 The Czech Republic
   9.3.8.3 Hungary
   9.3.8.4 Poland
   9.3.8.5 Romania
   9.3.8.6 Rest of Eastern Europe
 9.4. Western Europe Augmented Intelligence Market
  9.4.1 Key Market Trends, Growth Factors and Opportunities
  9.4.2 Top Key Companies
  9.4.3 Historic and Forecasted Market Size by Segments
  9.4.4 Historic and Forecasted Market Size By Component
   9.4.4.1 Hardware
   9.4.4.2 Software
   9.4.4.3 Services
  9.4.5 Historic and Forecasted Market Size By Input Signal
   9.4.5.1 Discrete
   9.4.5.2 Analog
   9.4.5.3 Protocol
  9.4.6 Historic and Forecasted Market Size By Connectivity
   9.4.6.1 Wired
   9.4.6.2 Wireless
  9.4.7 Historic and Forecasted Market Size By Application
   9.4.7.1 Vehicle Augmented Intelligence
   9.4.7.2 Building Augmented Intelligence
   9.4.7.3 Equipment Monitoring
   9.4.7.4 Environmental Monitoring
  9.4.8 Historic and Forecast Market Size by Country
   9.4.8.1 Germany
   9.4.8.2 UK
   9.4.8.3 France
   9.4.8.4 Netherlands
   9.4.8.5 Italy
   9.4.8.6 Russia
   9.4.8.7 Spain
   9.4.8.8 Rest of Western Europe
 9.5. Asia Pacific Augmented Intelligence Market
  9.5.1 Key Market Trends, Growth Factors and Opportunities
  9.5.2 Top Key Companies
  9.5.3 Historic and Forecasted Market Size by Segments
  9.5.4 Historic and Forecasted Market Size By Component
   9.5.4.1 Hardware
   9.5.4.2 Software
   9.5.4.3 Services
  9.5.5 Historic and Forecasted Market Size By Input Signal
   9.5.5.1 Discrete
   9.5.5.2 Analog
   9.5.5.3 Protocol
  9.5.6 Historic and Forecasted Market Size By Connectivity
   9.5.6.1 Wired
   9.5.6.2 Wireless
  9.5.7 Historic and Forecasted Market Size By Application
   9.5.7.1 Vehicle Augmented Intelligence
   9.5.7.2 Building Augmented Intelligence
   9.5.7.3 Equipment Monitoring
   9.5.7.4 Environmental Monitoring
  9.5.8 Historic and Forecast Market Size by Country
   9.5.8.1 China
   9.5.8.2 India
   9.5.8.3 Japan
   9.5.8.4 South Korea
   9.5.8.5 Malaysia
   9.5.8.6 Thailand
   9.5.8.7 Vietnam
   9.5.8.8 The Philippines
   9.5.8.9 Australia
   9.5.8.10 New Zealand
   9.5.8.11 Rest of APAC
 9.6. Middle East & Africa Augmented Intelligence Market
  9.6.1 Key Market Trends, Growth Factors and Opportunities
  9.6.2 Top Key Companies
  9.6.3 Historic and Forecasted Market Size by Segments
  9.6.4 Historic and Forecasted Market Size By Component
   9.6.4.1 Hardware
   9.6.4.2 Software
   9.6.4.3 Services
  9.6.5 Historic and Forecasted Market Size By Input Signal
   9.6.5.1 Discrete
   9.6.5.2 Analog
   9.6.5.3 Protocol
  9.6.6 Historic and Forecasted Market Size By Connectivity
   9.6.6.1 Wired
   9.6.6.2 Wireless
  9.6.7 Historic and Forecasted Market Size By Application
   9.6.7.1 Vehicle Augmented Intelligence
   9.6.7.2 Building Augmented Intelligence
   9.6.7.3 Equipment Monitoring
   9.6.7.4 Environmental Monitoring
  9.6.8 Historic and Forecast Market Size by Country
   9.6.8.1 Turkey
   9.6.8.2 Bahrain
   9.6.8.3 Kuwait
   9.6.8.4 Saudi Arabia
   9.6.8.5 Qatar
   9.6.8.6 UAE
   9.6.8.7 Israel
   9.6.8.8 South Africa
 9.7. South America Augmented Intelligence Market
  9.7.1 Key Market Trends, Growth Factors and Opportunities
  9.7.2 Top Key Companies
  9.7.3 Historic and Forecasted Market Size by Segments
  9.7.4 Historic and Forecasted Market Size By Component
   9.7.4.1 Hardware
   9.7.4.2 Software
   9.7.4.3 Services
  9.7.5 Historic and Forecasted Market Size By Input Signal
   9.7.5.1 Discrete
   9.7.5.2 Analog
   9.7.5.3 Protocol
  9.7.6 Historic and Forecasted Market Size By Connectivity
   9.7.6.1 Wired
   9.7.6.2 Wireless
  9.7.7 Historic and Forecasted Market Size By Application
   9.7.7.1 Vehicle Augmented Intelligence
   9.7.7.2 Building Augmented Intelligence
   9.7.7.3 Equipment Monitoring
   9.7.7.4 Environmental Monitoring
  9.7.8 Historic and Forecast Market Size by Country
   9.7.8.1 Brazil
   9.7.8.2 Argentina
   9.7.8.3 Rest of SA

Chapter 10 Analyst Viewpoint and Conclusion
10.1 Recommendations and Concluding Analysis
10.2 Potential Market Strategies

Chapter 11 Research Methodology
11.1 Research Process
11.2 Primary Research
11.3 Secondary Research