Content Intelligence Market Synopsis

Content Intelligence Market Size Was Valued at USD 2.01 Billion in 2023, and is Projected to Reach USD 15.76 Billion by 2032, Growing at a CAGR of 25.7% From 2024-2032.

Content intelligence can be defined as the process of harnessing such techniques as AI, and machine learning in the enhancement of content. It includes the collection of information from different sources, analysis of the information about the performance of the content and creation of report containing useful information for fine tuning the content strategy. With content intelligence applied, organizations can develop material that is more captivating, relevant, and helpful to achieve the intended target audience’s goals.

• CI is revolutionalizing how organizations deal with content development and delivery in their communication strategies. Earlier, content marketing strategies were guessed and largely unsupported by statistics. But, it is good to know that with the disclosure of content intelligence, organizations can take advantage of big data news analysis when it comes to decision-making. It change enables marketers to focus on the quality of content while at the same time targeting specific audience and specific trends in the market.
•  Data collection and analysis is one of the principal parts of content intelligence. This process entails the collation of data outcomes of various facets of the organization such as its website visitors’ analytics, its social media engagements, and the users’ behaviors. Further, these data are subjected to higher level algorithms to obtain trends and prospects for the business. For instance, content intelligence can show which topics are popular at the moment, what kind of content is popular in various networks, and the behavior in relation to content. This information is particularly useful when trying to potential of the content to be developed.
•  However, another equally important characteristic of content intelligence is all about content distribution. Therefore, knowing the habits and the orientations of various target audiences will create an opportunity for using an appropriate communication strategy. This may include tailoring the content to the readers, the best time to release the content and the best media to use. Further, content intelligence can assist in recognizing content deficiencies and potential areas for creating new content and therefore, the content strategy is always evolving as required by the market environment.
•  In conclusion, content intelligence is the new phenomenon that is aiding the businesses in developing proper content strategy. Thus, with the help of providing better technological facilities for analyzing the content, companies can deliver better content that will be more efficient and which will allow generating better results. Since content intelligence covers the content collection and processing process, content optimization and distribution, it became a powerful tool to make decisions in content marketing with the help of data analysis.

Content Intelligence Market Trend Analysis

AI-powered content insights

• The emerging field of Content Intelligence is dramatically changing the Content Intelligence Market with the help of AI-powered content insights that give deeper and more useful information about content performance. With the help of machine learning algorithms, NLP and big data analytics, these systems can examine large amount of texts, audios and videos and find patterns, trends and audience preferences that could hardly be found manually. With this technology, companies are helpful in finding which forms of content work best with their audiences, and hence increase participation and the level of sales.
•  Another advantage of using AI in producing and analyzing content is the possibility of giving a specific content feed. Using data of users’ behavior, choices and activity, AI can suggest content that a person could be more interested in and engage with more often. This includes social media posts and tweets as well as articles that appear in e-mail subscriptions and on the websites, so customers get what they need when they need it. Also self-learning feature of AI makes it possible to foresee next content patterns to see what trends can occur and how businesses can better adapt to these patterns and constantly improve their content delivery based on viewers’ expectations.
•  Besides, content insights by use of artificial intelligence make content creation and management less expensive and more precise. This has the advantage of deciding and preparing ordinary day work, such as keyword optimization, content tagging, and performance tracking, and provide more human power to fresh and positive activities. Machine learning and AI enhance understanding of how content performs; identifying problems, and the best times and channels at which to publish. Looking at these, AI not only improves the quality and relevancy of content but also gets a better return on marketer’s investment making AI a vital asset to the Content Intelligence Market.

Expanding demand in developing economies

• Growing customer base in the developing countries can prove to be a major benefit for the fuel oxygenates market. These economies expand which automatically demands a rise in car use as well as the industrial sector which in turn calls for high fuel demand. Fuel oxygenates are additizes that are essential in improving the oxygen content in gasoline; they include MTBE and ETBE.
• This enhancement seeks to raise the fuel combustion efficiency, emissions and suits compliance with strict environmental standards. Hence, increasing energy demand to support the growing population’s energy needs in developing regions and the drive to find cleaner fuel types provide a favorable environment for the expansion of the fuel oxygenates market.
• Most of the emerging markets are now in the process of urbanization and industrialization, thus increasing the need for energy and consequently fuel oxygenates. Such governments are nowadays shifting their attention towards cutting measures of air pollution and energy security. It is quite normal to notice or observe some new regulations that force organizations to use cleaner fuels.
• They assist in lowering of damaging emissions, specifically, carbon monoxide and unburned hydrocarbons since they enhance the combustion of fuel. Therefore, the increasing consciousness and the promoting legislations for clean air and eco-friendly power sources in budding nations are boosting the market for fuel oxygenates.
•  Also, it can be mentioned the advantages for the developing countries in terms of economic impact on the usage of fuel oxygenates. The additives listed below can boost the octane number of gasoline, which is needed for the proper functioning of contemporary engines.
• Higher octane fuels do not cause engine knocking, increase fuel economy, and the durability of engines. To the developing economies where cheap and efficient fuel solutions are well valued, fuel oxygenates make so much sense. Because of the growing demand for better quality of fuel and advanced automotive and industrial sectors these countries present a great opportunity for the growth of its fuel oxygenates market.

Content Intelligence Market Segment Analysis:

Content Intelligence Market Segmented based on Enterprise Size, Deployment, Component and Industry Vertical

By Deployment, hardware is expected to dominate the market during the forecast period

• In Content Intelligence Market the deployment model that is being followed is the cloud based deployment model. Such a trend can be explained by such factors as cost efficiency, possibilities for expansion and availability. As with any deployment model, cloud solutions provide the opportunity to control the scope of activities within a company and quickly increase or decrease it according to the needs without investing huge money in the infrastructure. This is especially great for the SMEs who, most likely, cannot afford to invest in and maintain large hardware and software throughout their business.
• Also, content intelligence services for clouds allow organizations to access their utility and analyses anytime and from any place. This level of accessibility is important in today’s world which is characterized by globalization and remote working environments. In turn, this fosters easier Internal and External communications, multipartite climate collaboration and sharing of ideas between employees from different premises, improving the efficiency and effectiveness of decision making. Also, it is noted that cloud providers often incorporate superior security mechanisms and frequent updates, which means that only the most advanced features and safeguards are provided to the consumers.
• The final key benefit of cloud-based deployment is the options for including other related applications and systems. Most of the cloud-based content intelligence applications can conveniently connect with marketing, CRM, and content management applications to enhance automation. This interoperability is particularly important for companies that seek to expand upon the current technologies that they are utilizing to create better content with the help of analytics and insights. Thus, the market share of cloud solutions will remain an upward trend because the latter are versatile, inexpensive, and easy to manage.

By Type, RBAC segment held the largest share

• In the CIM, the software segment is now the most significant part of the structure than the other three mentioned indices. This is largely due to the trends that see organizations increasing their calls for better analytics and automation of their content creation, organization, and optimization. Measures that content IIP provides to marketers include data analysis, content rating, customization, and performance monitoring, which are imperative for strategies on content creation and interaction.
• The dominance of software segment is also driven by the innovative AI and ML technologies which evolves at a faster pace. They help content intelligence software to process a big amount of data to identify trends and in its minimum possible time come up with the best recommendations. For example, intelligent tools for content analysis can estimate the audiences’ preferences and actions, thus enabling businesses to adjust their content to reflect the goals of target segments. Such level of accuracy and individualization is becoming more valuable in the contemporary web environment that provides increased possibilities for persuading the customer with the help of personalizable content.
• Also, the fact that content intelligence software is very versatile and portable also enhances its use across the market. Software providers offer solutions that are easily adoptable by organizations of all sizes right from start-ups to the giant corporate. The above solutions are readily available and can easily fit any organizational practices and expand with the business as it expands. Also, most of the content intelligence software vendors provide options for the deployment environment with cloud-based choices, which adds to the software’s flexibility. The flexibility that comes with the implementation of the software segment, where changes can quickly be done without the need for large capital investment in physical structures makes the segment the most sought after especially in organizations that require quick and fast solutions to adapt to changes in the market.

Content Intelligence Market Regional Insights:

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

• The geographical segment analyzer has estimated that the Asia Pacific region will have a significant share in the Content Intelligence market. The market of Content Intelligence in the area is increasing because businesses are accepting solutions based on AI and ML. Some of the solutions have been fortunately adopted by most SME-sized enterprises in the region to enhance their content marketing approaches.
• Diversity in the population of the province is now driving the need for program differentiation, which the AI can create in text, pictures, videos, and audio material. This makes it possible for firms to develop interesting and targeted social media updates, commercials, and hashtags. The services segment within the Content Intelligence demand is also increasing because of the enlarging importance of Artificial Intelligence Chatbots. Such chatbots are applied to give prompt answers to frequently asked questions, recommend products to buyers, perform the tasks that take a lot of time for employees, and improve the customers’ experience.
• Also, the growth of the e-commerce sector in the region is using AI solutions to offer better recommendations of products to customers, precise search results to increase the client’s perfect experience. AI and ML are gaining importance in Asia Pacific; governments, and businesses make large investments to enhance content marketing strategy and out-competitors.
• The primary drivers for the growth of the Indian advertisement industry include; urbanization, growing technology awareness, growing population, and favorable government polices. Therefore, because of the greater market newcomers that relate to the advanced types of digital technologies, the sector of advertising in India is in a good condition to soar even higher. Gone is the small advertisement stature that India once boasted of; now, it ranges for the position of the second fastest growing advertisement market in Asia.

Active Key Players in the Content Intelligence Market

• Acrolinx GmbH (Germany)
• Adobe Systems (USA)
• Atomic Reach (Canada)
• BrightEdge (USA)
• BuzzSumo (UK)
• Ceralytics (USA)
• Concured (UK)
• Conductor, Inc. (USA)
• Content Insights (Serbia)
• Curata, Inc. (USA)
• Frase (USA)
• Idio Ltd. (UK)
• InboundWriter, Inc. (USA)
• MarketMuse (USA)
• OneSpot (USA)
• PathFactory (Canada)
• ScribbleLive (Canada)
• SnapApp (USA)
• Socialbakers (Czech Republic)
• Vennli, Inc. (USA), and Other Key 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: Content Intelligence Market by Component
 4.1 Content Intelligence Market Snapshot and Growth Engine
 4.2 Content Intelligence Market Overview
 4.3 Software
  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 Software: Geographic Segmentation Analysis
 4.4 Services
  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 Services: Geographic Segmentation Analysis

Chapter 5: Content Intelligence Market by Deployment
 5.1 Content Intelligence Market Snapshot and Growth Engine
 5.2 Content Intelligence Market Overview
 5.3 Cloud Based
  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 Cloud Based: Geographic Segmentation Analysis
 5.4 On-Premises
  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 On-Premises: Geographic Segmentation Analysis

Chapter 6: Content Intelligence Market by Enterprise Size
 6.1 Content Intelligence Market Snapshot and Growth Engine
 6.2 Content Intelligence Market Overview
 6.3 Large Enterprises
  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 Large Enterprises: Geographic Segmentation Analysis
 6.4 SMEs
  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 SMEs: Geographic Segmentation Analysis

Chapter 7: Content Intelligence Market by Industry Vertical
 7.1 Content Intelligence Market Snapshot and Growth Engine
 7.2 Content Intelligence Market Overview
 7.3 BFSI
  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 BFSI: Geographic Segmentation Analysis
 7.4 IT and Telecommunication
  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 IT and Telecommunication: Geographic Segmentation Analysis
 7.5 Manufacturing
  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 Manufacturing: Geographic Segmentation Analysis
 7.6 Media and Entertainment
  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 Media and Entertainment: Geographic Segmentation Analysis
 7.7 Retail and Consumer Goods
  7.7.1 Introduction and Market Overview
  7.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.7.3 Key Market Trends, Growth Factors and Opportunities
  7.7.4 Retail and Consumer Goods: Geographic Segmentation Analysis
 7.8 Travel and Hospitality
  7.8.1 Introduction and Market Overview
  7.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.8.3 Key Market Trends, Growth Factors and Opportunities
  7.8.4 Travel and Hospitality: Geographic Segmentation Analysis
 7.9 Government and Public Sector and Others
  7.9.1 Introduction and Market Overview
  7.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.9.3 Key Market Trends, Growth Factors and Opportunities
  7.9.4 Government and Public Sector and Others: Geographic Segmentation Analysis

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Benchmarking
  8.1.2 Content 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 ACROLINX GMBH (GERMANY)
  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 ADOBE SYSTEMS (USA)
 8.4 ATOMIC REACH (CANADA)
 8.5 BRIGHTEDGE (USA)
 8.6 BUZZSUMO (UK)
 8.7 CERALYTICS (USA)
 8.8 CONCURED (UK)
 8.9 CONDUCTOR
 8.10 INC (USA)
 8.11 CONTENT INSIGHTS (SERBIA)
 8.12 CURATA
 8.13 INC (USA)
 8.14 FRASE (USA)
 8.15 IDIO LTD (UK)
 8.16 INBOUNDWRITER
 8.17 INC (USA)
 8.18 MARKETMUSE (USA)
 8.19 ONESPOT (USA)
 8.20 PATHFACTORY (CANADA)
 8.21 SCRIBBLELIVE (CANADA)
 8.22 SNAPAPP (USA)
 8.23 SOCIALBAKERS (CZECH REPUBLIC)
 8.24 VENNLI
 8.25 INC (USA)
 8.26 OTHER MAJOR PLAYERS

Chapter 9: Global Content Intelligence Market By Region
 9.1 Overview
 9.2. North America Content 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 Software
   9.2.4.2 Services
  9.2.5 Historic and Forecasted Market Size By Deployment
   9.2.5.1 Cloud Based
   9.2.5.2 On-Premises
  9.2.6 Historic and Forecasted Market Size By Enterprise Size
   9.2.6.1 Large Enterprises
   9.2.6.2 SMEs
  9.2.7 Historic and Forecasted Market Size By Industry Vertical
   9.2.7.1 BFSI
   9.2.7.2 IT and Telecommunication
   9.2.7.3 Manufacturing
   9.2.7.4 Media and Entertainment
   9.2.7.5 Retail and Consumer Goods
   9.2.7.6 Travel and Hospitality
   9.2.7.7 Government and Public Sector and Others
  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 Content 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 Software
   9.3.4.2 Services
  9.3.5 Historic and Forecasted Market Size By Deployment
   9.3.5.1 Cloud Based
   9.3.5.2 On-Premises
  9.3.6 Historic and Forecasted Market Size By Enterprise Size
   9.3.6.1 Large Enterprises
   9.3.6.2 SMEs
  9.3.7 Historic and Forecasted Market Size By Industry Vertical
   9.3.7.1 BFSI
   9.3.7.2 IT and Telecommunication
   9.3.7.3 Manufacturing
   9.3.7.4 Media and Entertainment
   9.3.7.5 Retail and Consumer Goods
   9.3.7.6 Travel and Hospitality
   9.3.7.7 Government and Public Sector and Others
  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 Content 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 Software
   9.4.4.2 Services
  9.4.5 Historic and Forecasted Market Size By Deployment
   9.4.5.1 Cloud Based
   9.4.5.2 On-Premises
  9.4.6 Historic and Forecasted Market Size By Enterprise Size
   9.4.6.1 Large Enterprises
   9.4.6.2 SMEs
  9.4.7 Historic and Forecasted Market Size By Industry Vertical
   9.4.7.1 BFSI
   9.4.7.2 IT and Telecommunication
   9.4.7.3 Manufacturing
   9.4.7.4 Media and Entertainment
   9.4.7.5 Retail and Consumer Goods
   9.4.7.6 Travel and Hospitality
   9.4.7.7 Government and Public Sector and Others
  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 Content 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 Software
   9.5.4.2 Services
  9.5.5 Historic and Forecasted Market Size By Deployment
   9.5.5.1 Cloud Based
   9.5.5.2 On-Premises
  9.5.6 Historic and Forecasted Market Size By Enterprise Size
   9.5.6.1 Large Enterprises
   9.5.6.2 SMEs
  9.5.7 Historic and Forecasted Market Size By Industry Vertical
   9.5.7.1 BFSI
   9.5.7.2 IT and Telecommunication
   9.5.7.3 Manufacturing
   9.5.7.4 Media and Entertainment
   9.5.7.5 Retail and Consumer Goods
   9.5.7.6 Travel and Hospitality
   9.5.7.7 Government and Public Sector and Others
  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 Content 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 Software
   9.6.4.2 Services
  9.6.5 Historic and Forecasted Market Size By Deployment
   9.6.5.1 Cloud Based
   9.6.5.2 On-Premises
  9.6.6 Historic and Forecasted Market Size By Enterprise Size
   9.6.6.1 Large Enterprises
   9.6.6.2 SMEs
  9.6.7 Historic and Forecasted Market Size By Industry Vertical
   9.6.7.1 BFSI
   9.6.7.2 IT and Telecommunication
   9.6.7.3 Manufacturing
   9.6.7.4 Media and Entertainment
   9.6.7.5 Retail and Consumer Goods
   9.6.7.6 Travel and Hospitality
   9.6.7.7 Government and Public Sector and Others
  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 Content 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 Software
   9.7.4.2 Services
  9.7.5 Historic and Forecasted Market Size By Deployment
   9.7.5.1 Cloud Based
   9.7.5.2 On-Premises
  9.7.6 Historic and Forecasted Market Size By Enterprise Size
   9.7.6.1 Large Enterprises
   9.7.6.2 SMEs
  9.7.7 Historic and Forecasted Market Size By Industry Vertical
   9.7.7.1 BFSI
   9.7.7.2 IT and Telecommunication
   9.7.7.3 Manufacturing
   9.7.7.4 Media and Entertainment
   9.7.7.5 Retail and Consumer Goods
   9.7.7.6 Travel and Hospitality
   9.7.7.7 Government and Public Sector and Others
  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