The SNL Insurance Regulatory Data dataset provides insurance data regulated by various bodies, requiring companies across different regions and countries to disclose specific financial data on a periodic basis.

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Insurance Analytics Market 2024-2028

The insurance analytics market size is projected to increase by USD 13.14 billion, at a CAGR of 15.96% between 2023 and 2028. The growth rate of the market depends on several factors, including the increasing government regulations on mandatory insurance coverage in developing countries, the increasing availability of big data tools, and the growing need for insurers to make data-driven decisions. Insurance analytics involves the use of data analysis and statistical techniques to gain insights into the insurance industry. It helps insurers make informed decisions, assess risks, detect fraudulent activities, and enhance overall operational efficiency. This technology leverages data from various sources, including customer information, claims data, and market trends, to optimize underwriting, pricing, and claims processing activities.

The report includes a comprehensive outlook on the Insurance Analytics Market, offering forecasts for the industry segmented by Deployment, which comprises cloud and on-premises. Additionally, it categorizes Component into tools and services and covers Regions, including North America, Europe, APAC, Middle East and Africa, and South America. The report provides market size, historical data spanning from 2018 to 2022, and future projections, all presented in terms of value in USD billion for each of the mentioned segments.

What will be the size of the Insurance Analytics Market During the Forecast Period?

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Insurance Analytics Market Overview

Insurance Analytics Market Driver

Increasing government regulations on mandatory insurance coverage in developing countries is the key factor driving market growth. Third-party motor insurance is compulsory for vehicles that run on public roads in some countries. For example, anyone who owns or operates a vehicle in the state of Maine in the US must have at least the minimum amount of insurance required by law. Similarly, health insurance is mandatory in most developed countries. Travel insurance is mandatory for a person traveling to a foreign country (in most developed countries).

Furthermore, the travel Insurance industry is expected to grow at a rapid pace due to the increase in cross-country tourism. The health insurance analytics industry is growing slowly in developing countries because of the increased awareness about the importance of having health insurance. As a result, the growth of various types of insurance is resulting in the rapid expansion of the global insurance analytics market.

Insurance Analytics Market Trends

Increasing adoption of insurance in developing countries is the primary trend shaping market growth. The market is currently expanding at a fast pace because of the increasing awareness about the importance of insurance. Emerging markets, mainly China and India, are expected to contribute to the rapid growth of the insurance industry.

In addition, the digital transformation in the insurance industry has resulted in a rapid increase in the demand for upgraded customer-facing insurance analytics solutions. With the increasing demand for insurance in developing countries, the demand for insurance analytics is also growing at a fast pace. Traditional methods of insurance are not favored anymore.

Insurance Analytics Market Restrain

The complexity of integrating diverse data sources is a challenge that affects market growth. Insurers often deal with vast amounts of data generated by various channels, and integrating this data seamlessly can be complex and complicated. Standardizing data formats, ensuring data quality, and establishing interoperability between different systems are crucial aspects. Overcoming these integration challenges is essential for insurers to harness the full potential of analytics and derive meaningful insights from the diverse datasets available to them.

Furthermore, the insurance sector is a heavily regulated industry, and data use and integration must comply with various regional and industry-specific regulations. Ensuring adherence to compliance standards adds complexity to the overall integration process. In addition, inaccuracies or inconsistencies can lead to flawed insights and decisions.

Insurance Analytics Market Segmentation By Deployment

The market share growth by the cloud segment will be significant during the forecast period. Cloud-based insurance analytics refers to the use of cloud computing services to store, analyze, and process insurance-related data. By leveraging cloud platforms, insurers can benefit from enhanced scalability, flexibility, and accessibility. This enables the efficient handling of large datasets, faster analytics processing, and the ability to access insights from virtually anywhere.

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Insurtech Market Size 2025-2029

The insurtech market size is forecast to increase by USD 114.39 billion at a CAGR of 43.6% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing need for businesses to enhance operational efficiency and reduce costs. Traditional insurance processes are being revolutionized through digital transformation, automation, and data analytics. This shift is particularly evident in areas such as underwriting, claims processing, and customer engagement. Moreover, investors are recognizing the potential of InsurTech firms and are collaborating to bring innovative solutions to market. However, the high cost of investment in technology and regulatory compliance remains a challenge for market entrants. Despite this, the market presents substantial opportunities for companies seeking to capitalize on the digitalization of the insurance industry. Strategic partnerships, collaborations, and mergers and acquisitions are key strategies for companies looking to navigate this dynamic landscape and stay competitive. Overall, the market is poised for continued growth, offering significant potential for companies that can effectively address market challenges and capitalize on emerging trends.

What will be the Size of the Insurtech Market during the forecast period?

Request Free SampleThe market, a dynamic intersection of insurance and technology, continues to evolve at an unprecedented pace. This sector's growth is driven by the increasing demand for ultra-customized insurance policies and advanced risk assessment capabilities. Leveraging technologies such as machine learning, artificial intelligence, and cloud computing, insurtech companies are revolutionizing the industry. These innovations enable more accurate underwriting, streamlined claims processing, and personalized customer experiences. Insurance products, including auto, marine, liability, buildings, and home insurance, are being transformed. Machine learning algorithms analyze vast amounts of customer data to tailor policies and pricing based on individual risk profiles. Social insurance, a subset of insurtech, is also gaining traction, utilizing data from various sources to assess risk and provide more comprehensive coverage. Business analytics and deployment models like Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) are increasingly adopted for their scalability and cost-effectiveness. Insurtech's future lies in continued innovation, with a focus on enhancing customer engagement and optimizing operational efficiency.

How is this Insurtech Industry segmented?

The insurtech industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationMarketing and distributionIT supportClaim managementPolicy administration and managementOthersDeploymentOn-premisesCloudGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyUKAPACChinaIndiaMiddle East and AfricaSouth AmericaBrazil

By Application Insights

The marketing and distribution segment is estimated to witness significant growth during the forecast period.The market is experiencing significant growth due to the increasing adoption of digital solutions in the insurance industry. Customer needs are at the forefront of this transformation, with insurance companies leveraging technology to improve decision-making, insurance planning, and real-time tracking and monitoring. Machine learning and artificial intelligence are key technologies driving innovation, enabling predictive modeling, fraud detection, and usage-based insurance. Cloud computing and data integration facilitate seamless data access and processing, while blockchain security ensures data privacy and security. InsurTech platforms offer a range of digital tools, including policy automation, risk analytics, claims processing, customer portals, and telematics devices. These solutions cater to various business lines and niche customers, with applications in auto, marine, liability, buildings, and home insurance. The integration of AI chatbots, premium calculators, insurance APIs, and smart contracts further enhances the customer experience. Overall, the market is revolutionizing the insurance industry by streamlining processes, improving efficiency, and meeting evolving consumer needs.

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The Marketing and distribution segment was valued at USD 3.22 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 51% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape

Lithuania LT: Foreign Direct Investment Financial Flows: Outward: USD: Total: Insurance, Reinsurance and Pension Funding Except Compulsory Social Security data was reported at 0.854 USD mn in 2023. This records an increase from the previous number of 0.012 USD mn for 2022. Lithuania LT: Foreign Direct Investment Financial Flows: Outward: USD: Total: Insurance, Reinsurance and Pension Funding Except Compulsory Social Security data is updated yearly, averaging 0.000 USD mn from Dec 2005 (Median) to 2023, with 11 observations. The data reached an all-time high of 0.854 USD mn in 2023 and a record low of -1.095 USD mn in 2016. Lithuania LT: Foreign Direct Investment Financial Flows: Outward: USD: Total: Insurance, Reinsurance and Pension Funding Except Compulsory Social Security data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Financial Flows: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Lithuania LT: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Financial and Insurance Activities data was reported at 36.448 % in 2023. This records an increase from the previous number of 35.121 % for 2022. Lithuania LT: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Financial and Insurance Activities data is updated yearly, averaging 28.045 % from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 38.011 % in 2020 and a record low of 13.941 % in 2005. Lithuania LT: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Financial and Insurance Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Explore the Data Collection And Labeling Global Market Report 2025 Market trends! Covers key players, growth rate 28.4% CAGR, market size $12.08 Billion, and forecasts to 2033. Get insights now!

Lithuania LT: Foreign Direct Investment Income: Outward: USD: Total: Activities Auxiliary To Financial Services and Insurance Activities data was reported at 7.904 USD mn in 2023. This records an increase from the previous number of 1.525 USD mn for 2022. Lithuania LT: Foreign Direct Investment Income: Outward: USD: Total: Activities Auxiliary To Financial Services and Insurance Activities data is updated yearly, averaging 0.405 USD mn from Dec 2005 (Median) to 2023, with 14 observations. The data reached an all-time high of 7.904 USD mn in 2023 and a record low of -0.929 USD mn in 2019. Lithuania LT: Foreign Direct Investment Income: Outward: USD: Total: Activities Auxiliary To Financial Services and Insurance Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

The Relational Database Software Market size was estimated at USD 21.97 Billion in 2024 and is projected to reach USD 45.23 Billion by 2031, growing at a CAGR of 9.4 % from 2024 to 2031

Global Relational Database Software Market Drivers

Rising Demand for Efficient Data Management: Organizations across industries are generating and collecting ever-increasing volumes of data. This necessitates efficient and secure data management solutions. Relational databases, with their structured format and robust querying capabilities, offer a valuable tool to organize, manage, and analyze this data, leading to increased demand for this software.

Cloud Adoption and Scalability: The proliferation of cloud computing has significantly impacted the relational database market. Cloud-based database solutions offer scalability, flexibility, and reduced IT infrastructure burden for businesses. This makes them particularly attractive for small and medium-sized enterprises (SMEs) and facilitates easier data access for geographically dispersed teams.

Growing Importance of Data Security and Compliance: Data breaches and cyberattacks pose significant threats to businesses. Relational database software vendors are constantly innovating to enhance security features like encryption and access controls. Additionally, stringent data privacy regulations like GDPR and CCPA are driving the need for compliant data storage and management solutions, further propelling the market for secure relational databases.

Luxembourg LU: Foreign Direct Investment Income: Outward: USD: Total: Insurance, Reinsurance and Pension Funding Except Compulsory Social Security data was reported at 55.147 USD mn in 2023. This records an increase from the previous number of 54.685 USD mn for 2022. Luxembourg LU: Foreign Direct Investment Income: Outward: USD: Total: Insurance, Reinsurance and Pension Funding Except Compulsory Social Security data is updated yearly, averaging 55.147 USD mn from Dec 2012 (Median) to 2023, with 11 observations. The data reached an all-time high of 468.605 USD mn in 2013 and a record low of -12.400 USD mn in 2017. Luxembourg LU: Foreign Direct Investment Income: Outward: USD: Total: Insurance, Reinsurance and Pension Funding Except Compulsory Social Security data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Procurement Analytics Market size was valued at USD 4.85 Billion in 2024 and is projected to reach USD 25.18 Billion by 2031, growing at a CAGR of 25.21% during the forecast period 2024-2031.

Global Procurement Analytics Market Drivers

Data-Driven Decision Making: Businesses are realizing the value of data-driven decision-making procedures in a variety of departments, including purchasing. With the help of insights from data analysis, procurement analytics helps businesses reduce risks, find cost-saving possibilities, streamline their purchasing procedures, and enhance overall procurement performance.

Growing Complexity and Globalization of Supply Chains: As supply chains becoming more intricate and international, businesses must deal with issues including risk reduction, supplier management, and regulatory compliance. Advanced capabilities to track supply chain interruptions, analyze supplier performance, and optimize sourcing strategies across several geographies and suppliers are provided by procurement analytics solutions.

Demand for Cost Reduction and Efficiency Improvement: Companies are under pressure to lower costs and boost operational efficiency in the cutthroat business world of today. Through spend analysis, supplier consolidation, contract optimization, and demand forecasting, procurement analytics helps businesses find cost-saving options that eventually result in bottom-line benefits.

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Healthcare Analytics Market Size 2025-2029

The healthcare analytics market size is forecast to increase by USD 81.28 billion, at a CAGR of 25% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. The integration of big data with healthcare analytics is a major growth factor, enabling healthcare providers to make data-driven decisions and improve patient outcomes.
Another trend is the increasing use of Internet-enabled mobile devices in healthcare services, allowing for remote monitoring and real-time data access. However, data security and privacy concerns remain a challenge, with the need for strong security measures to protect sensitive patient information. These trends are shaping the future of patient engagement and driving growth in the global healthcare analytics market as well.

What will be the Size of the Healthcare Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing adoption of digital solutions for improving patient care and reducing treatment costs. Healthcare organizations are leveraging descriptive analytics to gain insights from clinical data, while predictive and prescriptive analytics enable the development of personalized treatment plans and optimal therapeutic strategies. Financial analytics help manage healthcare expenses, ensuring cost-effective patient care. The National Institutes of Health (NIH) and other research institutions are driving innovation in health data analytics, leading to advancements in areas such as patient compliance, medication selection, and disease management. Industry leaders are utilizing artificial intelligence and machine learning to enhance clinical care, outreach, and disease management, ultimately leading to better treatment consistency and optimal outcomes for patients.

How is this Healthcare Analytics Industry segmented and which is the largest segment?

The healthcare analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Services
  Software
  Hardware


Deployment

  On-premise
  Cloud-based


Type

  Descriptive Analysis
  Predictive Analysis
  Prescriptive and Diagnostics


Application

  Financial Analytics
  Clinical Analytics
  Operations and Administrative Analytics
  Population Health Analytics


End-User

  Insurance Company
  Government Agencies
  Healthcare Providers
  Pharmaceutical and Medical Device Companies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By Component Insights

The services segment is estimated to witness significant growth during the forecast period. Healthcare analytics services encompass consulting, learning and training, development and integration, hardware maintenance and support, IT management, process management, and software support. The consulting and software support segments are experiencing significant growth due to the increasing demand for advanced healthcare delivery systems and cost-effective models. The healthcare sector's ongoing transition from on-premises to cloud-based software and IT infrastructure deployment is another growth driver. This shift is expected to increase the demand for IT education and training services. End-users of these services range from individual doctor offices to full-service hospitals and multi-location clinics, including large hospitals and tissue and blood processing organizations.

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The services segment was valued at USD 6.7 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 36% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American market is driven by the increasing demand for secure data access and effective patient information management. The US and Canada are the primary contributors to this market due to their early adoption of advanced technologies, such as machine learning, predictive analytics, and quantum computing, across various industries. These technologies enable the healthcare sector to optimize patient compliance, medication selection, and therapeutic strategies and, ultimately, achieve optimal outcomes. Major companies in this market provide solutions to help healthcare organizations manage and

Luxembourg LU: Foreign Direct Investment Income: Inward: USD: Total: Financial and Insurance Activities data was reported at 95.820 USD bn in 2023. This records an increase from the previous number of 93.376 USD bn for 2022. Luxembourg LU: Foreign Direct Investment Income: Inward: USD: Total: Financial and Insurance Activities data is updated yearly, averaging 116.913 USD bn from Dec 2012 (Median) to 2023, with 11 observations. The data reached an all-time high of 145.490 USD bn in 2018 and a record low of 79.174 USD bn in 2012. Luxembourg LU: Foreign Direct Investment Income: Inward: USD: Total: Financial and Insurance Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Lithuania LT: Foreign Direct Investment Position: Inward: Total: Financial Service Activities Except Insurance and Pension Funding data was reported at 11,896.600 EUR mn in 2023. This records an increase from the previous number of 10,718.430 EUR mn for 2022. Lithuania LT: Foreign Direct Investment Position: Inward: Total: Financial Service Activities Except Insurance and Pension Funding data is updated yearly, averaging 3,824.810 EUR mn from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 11,896.600 EUR mn in 2023 and a record low of 884.910 EUR mn in 2005. Lithuania LT: Foreign Direct Investment Position: Inward: Total: Financial Service Activities Except Insurance and Pension Funding data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Position: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

The Case Management Market is projected to grow at 11.5% CAGR, reaching $12.4 Billion by 2029. Where is the industry heading next? Get the sample report now!

Customer Engagement Solutions Market Size And Forecast

Customer Engagement Solutions Market size was valued at USD 21.67 Billion in 2024 and is projected to reach USD 56.30 Billion by 2031, growing at a CAGR of 13.98% during the forecast period 2024-2031.

Global Customer Engagement Solutions Market Drivers

Putting More Focus on Customer Experience: In order to obtain a competitive advantage, companies in all sectors are putting more focus on providing outstanding customer experiences. Through the use of customer engagement solutions, businesses may communicate with clients at different points of contact, increasing client happiness and loyalty.

Rapid Digital Transformation: Consumer expectations and preferences have changed as a result of the broad use of digital technologies. The demand for customer engagement solutions is being driven by the use of digital channels like social media, smartphone apps, and online chat to connect with customers in real-time.

Customer expectations for smooth and consistent experiences across many channels, including as email, phone, web, social media, and in-person contacts, are driving the demand for omnichannel communication. Through the use of customer engagement technologies, organizations can plan omnichannel communication campaigns that accommodate a wide range of customer preferences and behaviors.

Growing Significance of Personalization: Engaging and loyal customers are fueled by personalized interactions. Customer engagement solutions improve the overall customer experience by delivering personalized content, offers, and recommendations through the use of artificial intelligence (AI) and data analytics.

Businesses acknowledge the importance of data-driven insights in comprehending the behavior, preferences, and sentiment of their customers. Through the collection and analysis of consumer data from several sources, customer engagement solutions give businesses the useful information they need to improve their engagement tactics and spur expansion.

Pay Attention to Customer Retention and Lifetime Value: It costs more to acquire new customers than it does to keep current ones. Personalized interactions and focused engagement campaigns are two ways that customer engagement solutions assist businesses in strengthening their customer connections, raising retention rates, and maximizing customer lifetime value.

Abstract copyright UK Data Service and data collection copyright owner.

The research had two major objectives:

examining the implications of the growing foreign ownership in the London market for the way this market operates and for the competitive position of London as a leading global centre. The shares of foreign firms in the City have been growing continuously, to reach a point in which the competitive position of London as a leading centre for financial services is based largely on foreign ownership. The study sought to gain insights into the reasons for this situation, and to draw their implications for the continuous vitality of London as a leading global centre, and for the competitiveness of British-owned insurance firms;

examining the London Market as a cluster of related business activities and the value of local linkages between firms for their competitive performance in London and elsewhere. In this context, the study sought to identify the major factors that may threaten the continuing survival and success of this cluster. It also sought to understand the linkages of this London cluster with global financial centres elsewhere and to assess the value of linkages that take place at different geographic levels for the competitive performance of London firms and the London market as a whole.



Main Topics:

The dataset comprises a number of sections:

general characteristics of firms – documents areas of specialisation, ownership structure, size, age, etc.;

the competitive position of firms – inquires regarding the operating routines of the organisation and their impact on its competitive position. More specifically, data refer to revenue distribution, local institutional influences, labour practices, firms’ perceptions of the internal and external determinants of their competitive performance;

the operation of firms in the London market – this section gathers data on the linkages of firms with clients, suppliers, other insurance companies and employees in the London market and elsewhere, and seeks to establish the local embeddedness of firms in the London market;

the international activities of the organisation - this section gathers data only on foreign affiliates and contains information regarding the nature of the international activity of multinational companies and the advantages they may derive from them. It contains data regarding the linkages between the London office and its foreign parents, the nature of control and sharing of responsibilities between them;

open questions – this section contains qualitative information on the views of respondents on the issue of foreign nationality in the City and its implications for competitiveness of the firms involved. These have been coded in to quantitative responses.

Luxembourg LU: Foreign Direct Investment Financial Flows: Inward: Total: Financial Service Activities Except Insurance and Pension Funding data was reported at -318,758.000 EUR mn in 2023. This records an increase from the previous number of -383,974.000 EUR mn for 2022. Luxembourg LU: Foreign Direct Investment Financial Flows: Inward: Total: Financial Service Activities Except Insurance and Pension Funding data is updated yearly, averaging 15,978.000 EUR mn from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 500,112.000 EUR mn in 2015 and a record low of -383,974.000 EUR mn in 2022. Luxembourg LU: Foreign Direct Investment Financial Flows: Inward: Total: Financial Service Activities Except Insurance and Pension Funding data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Financial Flows: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Luxembourg LU: Foreign Direct Investment Income: Outward: USD: Total: Financial Service Activities Except Insurance and Pension Funding data was reported at 99.314 USD bn in 2023. This records an increase from the previous number of 98.670 USD bn for 2022. Luxembourg LU: Foreign Direct Investment Income: Outward: USD: Total: Financial Service Activities Except Insurance and Pension Funding data is updated yearly, averaging 125.185 USD bn from Dec 2012 (Median) to 2023, with 11 observations. The data reached an all-time high of 163.197 USD bn in 2018 and a record low of 69.269 USD bn in 2012. Luxembourg LU: Foreign Direct Investment Income: Outward: USD: Total: Financial Service Activities Except Insurance and Pension Funding data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Ireland IE: Foreign Direct Investment Income: Inward: USD: Total: Activities Auxiliary To Financial Services and Insurance Activities data was reported at 1.749 USD bn in 2023. This records an increase from the previous number of 1.645 USD bn for 2022. Ireland IE: Foreign Direct Investment Income: Inward: USD: Total: Activities Auxiliary To Financial Services and Insurance Activities data is updated yearly, averaging 1.350 USD bn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 1.818 USD bn in 2019 and a record low of 879.177 USD mn in 2012. Ireland IE: Foreign Direct Investment Income: Inward: USD: Total: Activities Auxiliary To Financial Services and Insurance Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ireland – Table IE.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are not excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Luxembourg LU: Foreign Direct Investment Financial Flows: Outward: USD: Total: Activities Other Than Financial and Insurance data was reported at 867.215 USD mn in 2023. This records a decrease from the previous number of 13.759 USD bn for 2022. Luxembourg LU: Foreign Direct Investment Financial Flows: Outward: USD: Total: Activities Other Than Financial and Insurance data is updated yearly, averaging 13.759 USD bn from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 194.727 USD bn in 2014 and a record low of -163.907 USD bn in 2017. Luxembourg LU: Foreign Direct Investment Financial Flows: Outward: USD: Total: Activities Other Than Financial and Insurance data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Financial Flows: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.