According to Future Market Insights, the insights-as-a-service market is expected to total US$ 3,493.2 million in 2023. From 2023 and 2033, the market is expected to register growth at a CAGR of 23.5% to reach a valuation of US$ 29,911 million.
As per research done by Future Market Research (FMI) on the insights-as-a-service market, it has been revealed that North America is the market leader with over 60% of the global share. Meanwhile, the report has identified the BFSI as the largest end user.
| Report Attribute | Details |
|---|---|
| Base year (2022) Market Value | US$ 2,865.5 million |
| Projected year (2023) Market Value | US$ 3,493.2 million |
| Projected year (2033) Market Value | US$ 29,911 million |
| CAGR% (2023 to 2033) | 23.5% |
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The global market for the insights-as-a-service market has grown at the rate of 21.4% from 2018 to 2022. Increasing the focus of businesses to scale up to achieve their business goals will result in higher prospects for growth.
A focus on improving customer lifecycle management among SMEs and large enterprises will result in increasing the application of insights-as-a-service across organizations.
FMI identifies Europe, followed by North America, as the leading market. Expansion in Europe is supported by the region’s developed infrastructure that encourages the adoption of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) in data analytics. Driven by these factors, the global market is projected to reach a valuation of US$ 29,911 million by 2033, rising at a CAGR of 23.5%.
Cloud services and digital transformation help companies to increase agility, improve efficiencies and ROI, and curb unnecessary expenses in small and mid-sized enterprises.
The adoption of insights-as-a-service burgeoned as remote working became highly prevalent following the COVID-19 outbreak. This trend is expected to continue even as the pandemic passes, creating demand for remote and mobile access applications, services, systems, and data both in the cloud and on premise.
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In recent years, the growth of big data analytics has been significant. Insights-as-a-Service solutions provide insights to companies that help them to create unprecedented opportunities. It provides companies with predictive analytics and business intelligence with the help of company data such as stocks, financial data and results, keyword performance, employee details, and business process data.
Such insights help the company to increase the sales of products and services. It also uses different data types such as company data, usage data, and syndicated data, and provides insights on the ROI, and important decisions to be taken in the future. Therefore Insights-as-a-Service solutions help companies/SMEs to scale up to achieve their business goals in coming years fueling the demand for the insights-as-a-service platform.
The rise in the adoption of IoT technology across diverse industries is expected to drive the demand for insights-as-a-service. Insights-as-a-service is a cloud based service offered to companies, which helps them to increase their ROI. Demand for insights-as-a-service solutions is expected to increase as a result of the integration of advanced technologies such as 5G and 4G Internet across industries.
As per the New Eclipse Foundation’s IoT commercial adoption survey, about 40% of industry leaders responding to the survey say that their organizations are using IoT solutions, and 22 percent more plan to deploy IoT in the coming years.
In addition, IoT investment is expected to increase as 40 percent of organizations are planning to spend more on IoT solutions from 2022 to 2023. Rising adoption of IoT ultimately propels the demand for insights-as-a-service solutions in coming years.
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IaaS is a cloud-mediated tool that interacts with a company and processes the data. It helps companies to provide insights and business intelligence in real time and figure out future steps. IaaS increases data prioritization from collected data and identifies challenges that need a company needs to overcome.
It focuses on the higher-level strategy and reduces the in-house cost which ultimately results in better decisions. IaaS provides the most effective path for the company to capture insights, which ultimately increases returns on all investments. Also, up-front cost of IaaS is lower as compared to traditional methods of data analysis. Owing to lower up-front costs and the high ROI of insights-as-a-service solutions, their demand is expected to rise.
Insights-As-A-Service Market:
| Differentiating Aspects | Insights-As-A-Service Market |
|---|---|
| CAGR (2023 to 2033) | 23.5% |
| Market Valuation in 2023 | US$ 3,493.2 million |
| Projected Market Value in 2033 | US$ 29,911 million |
| Growth Factors | The rise in the adoption of IoT technology across diverse industries is expected to drive the demand for insights-as-a-service. |
| Opportunities | Emergence of new vendors and increasing investment in cloud based offerings by key players |
| Key Trends | The adoption of new technologies such as Artificial Intelligence (AI), Machine Learning (ML), and other digital technologies that are pushing the frontier of applications in the private, public, and social sectors. |
Managed Services Market:
| Differentiating Aspects | Managed Services Market |
|---|---|
| CAGR (2023 to 2033) | 14% |
| Market Valuation in 2023 | US$ 268 billion |
| Projected Market Value in 2033 | US$ 993.5 billion |
| Growth Factors | The market is expanding due to factors like increased usage of cloud-based systems including automation, IoT, blockchain, and cloud computing, as well as factors like reducing operating costs and enhancing operating effectiveness. |
| Opportunities | It is projected that the increased demand for outsourcing management tasks to managed services suppliers and cloud service providers would create new market opportunities. |
| Key Trends | Utilizing cutting-edge technologies like artificial intelligence (AI), cloud computing, and others is ultimately assisting firms in meeting a variety of functional company requirements while promoting efficient business processes. |
Device As A Service Market:
| Differentiating Aspects | Device As A Service Market |
|---|---|
| CAGR (2023 to 2033) | 30% |
| Market Valuation in 2023 | US$ 84 billion |
| Projected Market Value in 2033 | US$ 1,158 billion |
| Growth Factors | The market's potential for expansion can be ascribed to an increasing need for a subscription service that allows end-users to transition from a capital expenditure-based model to a functioning expenses-based one while acquiring the most up-to-date technology. |
| Opportunities | Increased awareness of the device-as-a-service model and its advantages, as well as a preference for the OpEx model in order to save the expense of IT infrastructure, are creating new market opportunities. |
| Key Trends | Small and medium-sized businesses' consumption of contact-based solutions as well as services. |
The Indonesia market is expected to be one of the leading markets for insights-as-a-service and is anticipated to surge at a CAGR of 35% over the forecasted period.
As per the Indonesian Internet Service Providers Association (APJII) survey, the number of internet users has increased by 14.6%. Also, the internet penetration rate of the country has increased from 64.8% to 73.7%. Thus increasing the internet penetration rate in the country will augment the demand for the insights-as-a-service offering.
Government support also will emerge as a chief growth driver. For instance, in August 2021, the Indonesia government announced the allocation of US$2.1 billion budget for Information and Communication Technology (ICT) development to accelerate the digital transformation.
Insights-as-a-service solutions are cloud based and the cloud is directly dependent on the availability of the infrastructure for internet connectivity. Thus, favorable initiatives adopted by the government are expected to fuel the demand for the insights-as-a-service in the country.
Currently, the United States market accounts for the largest consumption of insights-as-a-service in North America and is expected to expand at a CAGR of around 23%.
Demand for insights-as-a-service is increasing in the United States due to factors such as increasing adoption of advanced technology like IoT, use of AI and ML in data analytics, and increasing investment in insights-as-a-service in the region. The United States has also developed infrastructure for the cloud based solutions.
The United States has a presence in major tech companies such as C3, AWS, and Google which promotes their products and analytics toolsets. These vendors offer cloud based solutions or services which help SMEs to grow at a significant rate. Thus rapid-adoption of cloud computing solutions in almost every sector ultimately fuels the demand for the insights-as-a-service offering.
Stringent rules and regulations of the United States government to develop ICT propels the demand for insights-as-a-service in the country. In June 2019, according to the United States Federal Cloud Computing Strategy, the government instituted the CloudFirst policy to accelerate the pace of cloud adoption. It also promotes the innovation, service management, and adoption of emerging advanced technologies. Such initiatives taken by the United States government are developing advanced technologies that fuel the demand for insights-as-a-service.
The German market accounts for the largest consumption of insights-as-a-service in Europe and is expected to expand at a CAGR of around 27% by 2033.
Germany has been forecast to register high adoption of advanced telecommunication infrastructure and technological innovations. This trend is more prevalent across large telecom companies in the country. Germany has developed infrastructure for the adoption of new technologies such as Artificial Intelligence (AI), Machine Learning (ML), and other digital technologies that are pushing the frontier of applications in the private, public, and social sectors in Germany. This in turn is driving the demand for insights-as-a-service solutions.
The segment insights-as-a-Service Platforms accounted for a market share of around 58.1% in 2022, owing to reasons such as the increase in adoption of IoT technology by many industries is expected to drive the demand for the insights-as-a-service market.
The customer analytics segment accounted for a market share of around 27.1% in 2022 owing to the emergence of new vendors in insights-as-a-service and the investment in cloud based offerings by the key vendors in recent years.
The use of insights-as-a-service solutions in industries such as business, finance, retail, media, and telecommunications has increased in recent years. As per the study, the investments towards other cloud-based and insights-as-a-service offerings are expected to increase wing to stringent government rules and regulations to promote start-ups in developed as well as developing countries.
Thus the emergence of new vendors and increasing investment in cloud based offerings by key players is expected to fuel the demand for insights-as-s-service solutions.
The large enterprises' segment is expected to contribute a maximum revenue share of 71.6% in the global demand for insights-as-s-Service in 2022.
IaaS provides the most effective path for the company to capture insights it ultimately increases the returns on all investments. In addition, up-front cost of IaaS is lower as compared to traditional methods of data analysis.
Thus owing to lower up-front cost and high ROI of insights-as-a-service solutions fuels the demand for insights-as-s-service in the large enterprise's segment.
The BFSI segment accounts for the largest consumption of insights-as-a-service and is expected to expand at a CAGR of around 19.6%. The BFSI segment held a 19.7% share of the total market share of insights-as-a-service in 2022.
There are many key vendors across the globe that offers insights-as-a-service solutions to clients and it helps to increase their ROI and customer lifecycle management. In recent years, along with such key vendors the emergence of new vendors in insights-as-a-service solutions has been increased and it’s been one of the driving factors for the BFSI segment.
Many key cloud-based service suppliers are inclined at investing heavily in innovation, research, and development practices to uncover increased applications of insights-as-a-service. With the use of technology, players are also focusing on ensuring safety, quality, and customer satisfaction for captivating an increased customer base.
| Attribute | Details |
|---|---|
| Market Value in 2023 | US$ 3,493.2 million |
| Market Value in 2033 | US$ 29,911 million |
| Market CAGR 2023 to 2033 | 23.5% |
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ Million for Value |
| Key regions covered |
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| Key countries covered |
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| Key market segments covered |
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| Key companies profiled |
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| Customization & Pricing | Available upon request |
The market is valued at US$ 3,493.2 million in 2023.
Civica, Analytics Wise, Deloitte are the prominent industry players.
The market is forecast to register a CAGR of 23.5% through 2033.
The market is forecast to capture a 27% CAGR in Germany through 2033.
The customer analytics segment accounted for a market share of around 27.1% in 2022.
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 Solution 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033 5.3.1. Services 5.3.1.1. Consulting & Advisory 5.3.1.2. Implementation & Integration 5.3.1.3. Support & Maintenance 5.3.2. Platform (SaaS-based) 5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 6.3.1. Branding & Marketing Management 6.3.2. Supply Chain Analytics 6.3.3. Competition Benchmarking 6.3.4. Governance, Risk & Compliance 6.3.5. Customer Analytics 6.3.6. Others 6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033 7.3.1. Small & Medium Enterprises (SMEs) 7.3.2. Large Enterprises 7.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033 8.3.1. BFSI 8.3.2. Retail & CPG 8.3.3. IT & Telecom 8.3.4. Media & Entertainment 8.3.5. Education 8.3.6. Healthcare and Life Sciences 8.3.7. Government 8.3.8. Manufacturing 8.3.9. Others 8.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. South Asia 9.3.5. East Asia 9.3.6. Oceania 9.3.7. MEA 9.4. Market Attractiveness Analysis By Region 10. North 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. The USA 10.2.1.2. Canada 10.2.2. By Solution 10.2.3. By Application 10.2.4. By Enterprise Size 10.2.5. By Industry 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Solution 10.3.3. By Application 10.3.4. By Enterprise Size 10.3.5. By Industry 10.4. Key Takeaways 11. Latin America 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. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Solution 11.2.3. By Application 11.2.4. By Enterprise Size 11.2.5. By Industry 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Solution 11.3.3. By Application 11.3.4. By Enterprise Size 11.3.5. By Industry 11.4. Key Takeaways 12. Europe 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. Germany 12.2.1.2. United Kingdom 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Europe 12.2.2. By Solution 12.2.3. By Application 12.2.4. By Enterprise Size 12.2.5. By Industry 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Solution 12.3.3. By Application 12.3.4. By Enterprise Size 12.3.5. By Industry 12.4. Key Takeaways 13. South 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. India 13.2.1.2. Malaysia 13.2.1.3. Singapore 13.2.1.4. Thailand 13.2.1.5. Rest of South Asia 13.2.2. By Solution 13.2.3. By Application 13.2.4. By Enterprise Size 13.2.5. By Industry 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Solution 13.3.3. By Application 13.3.4. By Enterprise Size 13.3.5. By Industry 13.4. Key Takeaways 14. East Asia 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. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Solution 14.2.3. By Application 14.2.4. By Enterprise Size 14.2.5. By Industry 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Solution 14.3.3. By Application 14.3.4. By Enterprise Size 14.3.5. By Industry 14.4. Key Takeaways 15. Oceania 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. Australia 15.2.1.2. New Zealand 15.2.2. By Solution 15.2.3. By Application 15.2.4. By Enterprise Size 15.2.5. By Industry 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Solution 15.3.3. By Application 15.3.4. By Enterprise Size 15.3.5. By Industry 15.4. Key Takeaways 16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Solution 16.2.3. By Application 16.2.4. By Enterprise Size 16.2.5. By Industry 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Solution 16.3.3. By Application 16.3.4. By Enterprise Size 16.3.5. By Industry 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. USA 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Solution 17.1.2.2. By Application 17.1.2.3. By Enterprise Size 17.1.2.4. By Industry 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Solution 17.2.2.2. By Application 17.2.2.3. By Enterprise Size 17.2.2.4. By Industry 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Solution 17.3.2.2. By Application 17.3.2.3. By Enterprise Size 17.3.2.4. By Industry 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Solution 17.4.2.2. By Application 17.4.2.3. By Enterprise Size 17.4.2.4. By Industry 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Solution 17.5.2.2. By Application 17.5.2.3. By Enterprise Size 17.5.2.4. By Industry 17.6. United Kingdom 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Solution 17.6.2.2. By Application 17.6.2.3. By Enterprise Size 17.6.2.4. By Industry 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Solution 17.7.2.2. By Application 17.7.2.3. By Enterprise Size 17.7.2.4. By Industry 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Solution 17.8.2.2. By Application 17.8.2.3. By Enterprise Size 17.8.2.4. By Industry 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Solution 17.9.2.2. By Application 17.9.2.3. By Enterprise Size 17.9.2.4. By Industry 17.10. India 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Solution 17.10.2.2. By Application 17.10.2.3. By Enterprise Size 17.10.2.4. By Industry 17.11. Malaysia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Solution 17.11.2.2. By Application 17.11.2.3. By Enterprise Size 17.11.2.4. By Industry 17.12. Singapore 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Solution 17.12.2.2. By Application 17.12.2.3. By Enterprise Size 17.12.2.4. By Industry 17.13. Thailand 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Solution 17.13.2.2. By Application 17.13.2.3. By Enterprise Size 17.13.2.4. By Industry 17.14. China 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Solution 17.14.2.2. By Application 17.14.2.3. By Enterprise Size 17.14.2.4. By Industry 17.15. Japan 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Solution 17.15.2.2. By Application 17.15.2.3. By Enterprise Size 17.15.2.4. By Industry 17.16. South Korea 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Solution 17.16.2.2. By Application 17.16.2.3. By Enterprise Size 17.16.2.4. By Industry 17.17. Australia 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Solution 17.17.2.2. By Application 17.17.2.3. By Enterprise Size 17.17.2.4. By Industry 17.18. New Zealand 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Solution 17.18.2.2. By Application 17.18.2.3. By Enterprise Size 17.18.2.4. By Industry 17.19. GCC Countries 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Solution 17.19.2.2. By Application 17.19.2.3. By Enterprise Size 17.19.2.4. By Industry 17.20. South Africa 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Solution 17.20.2.2. By Application 17.20.2.3. By Enterprise Size 17.20.2.4. By Industry 17.21. Israel 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Solution 17.21.2.2. By Application 17.21.2.3. By Enterprise Size 17.21.2.4. By Industry 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Solution 18.3.3. By Application 18.3.4. By Enterprise Size 18.3.5. By Industry 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Capgemini 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. GoodData 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. GAVS Technologies 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Oracle Corporation 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. IBM Corporation 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Accenture 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Crediwatch 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Civica 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Analytics Wise 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Deloitte 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. thinkbridge Software 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. Totango 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 19.1.13. 9Lenses 19.1.13.1. Overview 19.1.13.2. Product Portfolio 19.1.13.3. Profitability by Market Segments 19.1.13.4. Sales Footprint 19.1.13.5. Strategy Overview 19.1.13.5.1. Marketing Strategy 19.1.14. JBara 19.1.14.1. Overview 19.1.14.2. Product Portfolio 19.1.14.3. Profitability by Market Segments 19.1.14.4. Sales Footprint 19.1.14.5. Strategy Overview 19.1.14.5.1. Marketing Strategy 19.1.15. ACTICO GmbH 19.1.15.1. Overview 19.1.15.2. Product Portfolio 19.1.15.3. Profitability by Market Segments 19.1.15.4. Sales Footprint 19.1.15.5. Strategy Overview 19.1.15.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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