Decision Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Deployment Mode (Cloud, On-Premises), By Component (Hardware, Software and Services), By End-User Industry (Retail, Finance, Healthcare, Telecommunications, Manufacturing, Others), By Region, and By Competition
The Global Decision Intelligence Market is currently experiencing robust growth and is projected to maintain its strong momentum in the forecast period. With a projected Compound Annual Growth Rate (CAGR) of 17.2% by 2028, the market is expected to surpass from USD 10.53 billion in 2022.
Decision Intelligence Deployment Modes play a pivotal role across diverse industries by leveraging satellites, aircraft, and other sensing devices to provide invaluable insights and data. These Deployment Modes enable businesses to gather critical information about the Earth's surface and atmosphere without the need for physical contact, facilitating efficient monitoring and analysis of various parameters.
The increasing demand for Decision Intelligence can be attributed to several key drivers. Firstly, there is a growing necessity for precise, real-time data across sectors such as agriculture, forestry, environmental monitoring, and healthcare. Decision Intelligence empowers businesses to access accurate information concerning crop health, land utilization, weather patterns, and natural resource management, thereby enhancing their decision-making processes.
Furthermore, the rising adoption of Decision Intelligence stems from an increased awareness of its benefits and the imperative for efficient data collection and analysis. Businesses are increasingly recognizing the value of remote sensing in optimizing operations, reducing costs, and gaining a competitive edge in their respective markets.
The market's growth is further propelled by significant advancements in Decision Intelligence technology. These include the development of high-resolution imaging systems, enhanced data processing techniques, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms. These innovations elevate the precision, efficiency, and reliability of remote sensing data, further fueling the expansion of the market.
Moreover, the growing emphasis on sustainable development and environmental conservation is expected to bolster the demand for Decision Intelligence. Organizations and businesses are progressively harnessing remote sensing data to monitor and mitigate the environmental impact of human activities. This trend is driving an increased demand for remote sensing Deployment Modes.
In conclusion, the Global Decision Intelligence Market is currently witnessing substantial growth, driven by factors such as the imperative for accurate data, technological advancements, and a heightened focus on sustainability. As businesses across various industries recognize the immense value of Decision Intelligence, the market is poised for significant expansion in the foreseeable future. This presents a compelling opportunity for businesses to leverage Decision Intelligence Deployment Modes to enhance their operations, decision-making processes, and overall competitiveness in the global marketplace.
Please note that the information provided is based on general knowledge and understanding of the topic. It's always recommended to conduct thorough market research and analysis specific to your industry and business needs before making any strategic decisions.
Key Market Drivers
Increasing Demand for Real-Time Data in Various Industries
In today's fast-paced business environment, the need for precise, real-time data has become paramount across diverse industries. The Global Decision Intelligence Market is being driven by this increasing demand for timely and accurate information. Sectors such as agriculture, forestry, environmental monitoring, and healthcare require up-to-date data on crop health, land utilization, weather patterns, and natural resource management to make informed decisions. Decision Intelligence enables businesses to access this critical information, empowering them to optimize operations, enhance productivity, and gain a competitive edge in their respective markets.
Growing Awareness of the Benefits of Decision Intelligence
Another significant driver behind the growth of the Global Decision Intelligence Market is the rising awareness of its benefits. Businesses are increasingly recognizing the value of remote sensing and data analysis in improving operational efficiency and reducing costs. Decision Intelligence allows organizations to optimize their processes, identify potential risks, and uncover new opportunities. By leveraging remote sensing technologies, businesses can gain valuable insights into their operations, enabling them to make data-driven decisions that lead to improved outcomes and increased profitability.
Technological Advancements in Decision Intelligence
The Global Decision Intelligence Market is experiencing substantial growth due to significant advancements in technology. High-resolution imaging systems, enhanced data processing techniques, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms have revolutionized the field of Decision Intelligence. These innovations have elevated the precision, efficiency, and reliability of remote sensing data, enabling businesses to extract valuable insights and make more accurate predictions. The integration of AI and ML algorithms further enhances the capabilities of Decision Intelligence systems, enabling businesses to automate processes, detect patterns, and generate actionable intelligence.
In conclusion, the Global Decision Intelligence Market is being driven by several key factors. The increasing demand for real-time data, growing awareness of the benefits of Decision Intelligence, and technological advancements in the field are propelling the market's growth. As businesses across various industries recognize the immense value of Decision Intelligence, the market is poised for significant expansion. By leveraging Decision Intelligence, organizations can enhance their operations, improve decision-making processes, and gain a competitive advantage in the global marketplace.
Key Market Challenges
Data Privacy and Security Concerns
One of the significant challenges facing the Global Decision Intelligence Market is the increasing concern over data privacy and security. As Decision Intelligence relies heavily on the collection and analysis of vast amounts of data, businesses and individuals are becoming more cautious about how their data is being used and protected. The potential risks of data breaches, unauthorized access, and misuse of sensitive information pose significant challenges to the widespread adoption of Decision Intelligence solutions.
To address this challenge, businesses operating in the Decision Intelligence space must prioritize robust data protection measures. This includes implementing stringent security protocols, encryption techniques, and compliance with relevant data privacy regulations such as the General Data Protection Regulation (GDPR). Building trust with customers and stakeholders by demonstrating a commitment to data privacy and security will be crucial for the long-term success of Decision Intelligence solutions.
Integration and Interoperability Issues
Another challenge facing the Global Decision Intelligence Market is the complexity of integrating Decision Intelligence systems with existing infrastructure and technologies. Many organizations already have established systems and processes in place, making it challenging to seamlessly integrate Decision Intelligence solutions into their operations. Additionally, interoperability issues arise when different Decision Intelligence platforms and tools need to communicate and share data effectively.
To overcome this challenge, businesses need to invest in robust integration frameworks and standardized protocols that facilitate seamless data exchange between different systems. Collaboration between Decision Intelligence solution providers and existing technology vendors can help streamline integration efforts and ensure compatibility. Furthermore, industry-wide standards and best practices for interoperability should be developed to enable smooth integration of Decision Intelligence solutions across various sectors.
In conclusion, the Global Decision Intelligence Market faces challenges related to data privacy and security concerns, as well as integration and interoperability issues. Addressing these challenges will require a proactive approach from businesses, including implementing robust data protection measures and investing in integration frameworks. By overcoming these challenges, the Decision Intelligence Market can unlock its full potential and provide businesses with valuable insights for informed decision-making.
Key Market Trends
Adoption of Cloud-Based Decision Intelligence Solutions
Cloud computing has revolutionized the way businesses store, access, and analyze data. In the Global Decision Intelligence Market, there is a growing trend towards adopting cloud-based solutions. Cloud-based Decision Intelligence platforms offer several advantages, including scalability, flexibility, and cost-effectiveness. By leveraging cloud infrastructure, businesses can easily access and process large volumes of data, enabling real-time decision-making and analysis. Additionally, cloud-based solutions facilitate collaboration and data sharing across teams and departments, enhancing overall organizational efficiency.
Integration of Decision Intelligence with Internet of Things (IoT)
The Internet of Things (IoT) has gained significant traction across industries, connecting devices and enabling data exchange. In the Global Decision Intelligence Market, there is a notable trend towards integrating Decision Intelligence with IoT technologies. By combining Decision Intelligence with IoT, businesses can gather real-time data from connected devices, sensors, and machines. This integration allows for more accurate and timely decision-making, as organizations can leverage insights from IoT-generated data to optimize processes, improve operational efficiency, and enhance customer experiences. The synergy between Decision Intelligence and IoT opens up new possibilities for businesses to gain deeper insights and drive innovation.
Rise of Explainable and Ethical Decision Intelligence
As Decision Intelligence becomes more prevalent, there is a growing emphasis on the need for explainable and ethical decision-making processes. Businesses are increasingly recognizing the importance of understanding how decisions are made and ensuring transparency in the Decision Intelligence algorithms and models used. This trend is driven by the need to build trust with customers, stakeholders, and regulatory bodies. Explainable Decision Intelligence enables businesses to provide clear justifications for decisions, enhancing accountability and mitigating potential biases. Ethical considerations in Decision Intelligence involve ensuring fairness, privacy, and responsible use of data. Adhering to ethical principles in Decision Intelligence is crucial for maintaining public trust and avoiding reputational risks.
In conclusion, the Global Decision Intelligence Market is witnessing several notable trends. The adoption of cloud-based solutions, integration with IoT technologies, and the focus on explainable and ethical decision-making are shaping the future of Decision Intelligence. By staying abreast of these trends, businesses can leverage Decision Intelligence to gain a competitive edge, drive innovation, and make informed decisions in an increasingly data-driven business landscape.
Segmental Insights
Deployment Mode Insights
In 2022, the cloud-based deployment mode segment dominated the Global Decision Intelligence Market and is expected to maintain its dominance during the forecast period. The increasing adoption of cloud computing across industries has been a key driver for the growth of cloud-based Decision Intelligence solutions. Cloud deployment offers several advantages, including scalability, flexibility, and cost-effectiveness, which have resonated with businesses seeking efficient and accessible decision-making capabilities. Cloud-based Decision Intelligence solutions enable organizations to store, process, and analyze large volumes of data in real-time, empowering them to make informed decisions quickly and effectively. Additionally, cloud deployment facilitates seamless collaboration and data sharing across teams and departments, enhancing overall organizational efficiency. The scalability of cloud infrastructure allows businesses to easily scale their Decision Intelligence capabilities as their data requirements grow. Furthermore, cloud-based solutions offer the advantage of remote accessibility, enabling decision-makers to access critical insights from anywhere, at any time. These factors have contributed to the dominance of the cloud-based deployment mode segment in the Global Decision Intelligence Market in 2022, and this trend is expected to continue in the forecast period as more businesses recognize the benefits of cloud-based Decision Intelligence solutions and embrace the shift towards cloud computing for their decision-making needs.
Component Insights
In 2022, the software segment dominated the Global Decision Intelligence Market and is expected to maintain its dominance during the forecast period. The software component plays a crucial role in enabling organizations to leverage the power of Decision Intelligence by providing the necessary tools and algorithms for data analysis, modeling, and decision-making. The increasing demand for advanced analytics and machine learning capabilities has been a key driver for the growth of the software segment. Decision Intelligence software offers a wide range of functionalities, including data integration, visualization, predictive modeling, and optimization, empowering businesses to extract valuable insights from complex datasets and make informed decisions. Additionally, the software segment benefits from continuous advancements in AI and ML technologies, enabling organizations to leverage sophisticated algorithms and models for enhanced decision-making. The availability of user-friendly and customizable software solutions has also contributed to the dominance of the software segment. Businesses can choose from a variety of software options tailored to their specific needs, allowing for seamless integration with existing systems and workflows. Furthermore, the software segment offers the advantage of scalability, allowing organizations to expand their Decision Intelligence capabilities as their data requirements grow. With the increasing emphasis on data-driven decision-making and the growing adoption of Decision Intelligence across industries, the demand for software solutions is expected to remain high in the forecast period. As organizations continue to prioritize digital transformation and invest in advanced analytics capabilities, the software segment is poised to maintain its dominance in the Global Decision Intelligence Market, driving innovation and enabling businesses to gain a competitive edge through data-driven insights and informed decision-making.
Regional Insights
In 2022, North America dominated the Global Decision Intelligence Market by region and is expected to maintain its dominance during the forecast period. North America has been at the forefront of technological advancements and digital transformation, driving the adoption of Decision Intelligence across various industries. The region is home to several key players in the Decision Intelligence market, including technology giants and innovative startups, which have contributed to the growth and dominance of the market in North America. The presence of a robust infrastructure, including advanced data centers and cloud computing capabilities, has facilitated the implementation and scalability of Decision Intelligence solutions in the region. Additionally, North America has a strong ecosystem of research and development, fostering innovation and driving the development of cutting-edge Decision Intelligence technologies. The region's emphasis on data-driven decision-making, coupled with a high level of awareness and understanding of the benefits of Decision Intelligence, has further fueled its dominance in the market. Moreover, North America has a diverse range of industries, including healthcare, finance, retail, and manufacturing, which have recognized the value of Decision Intelligence in optimizing operations, improving customer experiences, and gaining a competitive edge. The region's strong regulatory framework and focus on data privacy and security have also instilled confidence in businesses to adopt Decision Intelligence solutions. With ongoing investments in AI and analytics technologies, as well as the increasing demand for advanced decision-making capabilities, North America is expected to maintain its dominance in the Global Decision Intelligence Market during the forecast period.
Key Market Players
IBM Corporation
Microsoft Corporation
Google LLC
Salesforce.com, Inc
SAS Institute Inc.
Oracle Corporation
SAP SE
Intel Corporation
Amazon Web Services, Inc.
Accenture plc
Report Scope:
In this report, the Global Decision Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Decision Intelligence Market.
Available Customizations:
Global Decision Intelligence market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Decision Intelligence Deployment Modes play a pivotal role across diverse industries by leveraging satellites, aircraft, and other sensing devices to provide invaluable insights and data. These Deployment Modes enable businesses to gather critical information about the Earth's surface and atmosphere without the need for physical contact, facilitating efficient monitoring and analysis of various parameters.
The increasing demand for Decision Intelligence can be attributed to several key drivers. Firstly, there is a growing necessity for precise, real-time data across sectors such as agriculture, forestry, environmental monitoring, and healthcare. Decision Intelligence empowers businesses to access accurate information concerning crop health, land utilization, weather patterns, and natural resource management, thereby enhancing their decision-making processes.
Furthermore, the rising adoption of Decision Intelligence stems from an increased awareness of its benefits and the imperative for efficient data collection and analysis. Businesses are increasingly recognizing the value of remote sensing in optimizing operations, reducing costs, and gaining a competitive edge in their respective markets.
The market's growth is further propelled by significant advancements in Decision Intelligence technology. These include the development of high-resolution imaging systems, enhanced data processing techniques, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms. These innovations elevate the precision, efficiency, and reliability of remote sensing data, further fueling the expansion of the market.
Moreover, the growing emphasis on sustainable development and environmental conservation is expected to bolster the demand for Decision Intelligence. Organizations and businesses are progressively harnessing remote sensing data to monitor and mitigate the environmental impact of human activities. This trend is driving an increased demand for remote sensing Deployment Modes.
In conclusion, the Global Decision Intelligence Market is currently witnessing substantial growth, driven by factors such as the imperative for accurate data, technological advancements, and a heightened focus on sustainability. As businesses across various industries recognize the immense value of Decision Intelligence, the market is poised for significant expansion in the foreseeable future. This presents a compelling opportunity for businesses to leverage Decision Intelligence Deployment Modes to enhance their operations, decision-making processes, and overall competitiveness in the global marketplace.
Please note that the information provided is based on general knowledge and understanding of the topic. It's always recommended to conduct thorough market research and analysis specific to your industry and business needs before making any strategic decisions.
Key Market Drivers
Increasing Demand for Real-Time Data in Various Industries
In today's fast-paced business environment, the need for precise, real-time data has become paramount across diverse industries. The Global Decision Intelligence Market is being driven by this increasing demand for timely and accurate information. Sectors such as agriculture, forestry, environmental monitoring, and healthcare require up-to-date data on crop health, land utilization, weather patterns, and natural resource management to make informed decisions. Decision Intelligence enables businesses to access this critical information, empowering them to optimize operations, enhance productivity, and gain a competitive edge in their respective markets.
Growing Awareness of the Benefits of Decision Intelligence
Another significant driver behind the growth of the Global Decision Intelligence Market is the rising awareness of its benefits. Businesses are increasingly recognizing the value of remote sensing and data analysis in improving operational efficiency and reducing costs. Decision Intelligence allows organizations to optimize their processes, identify potential risks, and uncover new opportunities. By leveraging remote sensing technologies, businesses can gain valuable insights into their operations, enabling them to make data-driven decisions that lead to improved outcomes and increased profitability.
Technological Advancements in Decision Intelligence
The Global Decision Intelligence Market is experiencing substantial growth due to significant advancements in technology. High-resolution imaging systems, enhanced data processing techniques, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms have revolutionized the field of Decision Intelligence. These innovations have elevated the precision, efficiency, and reliability of remote sensing data, enabling businesses to extract valuable insights and make more accurate predictions. The integration of AI and ML algorithms further enhances the capabilities of Decision Intelligence systems, enabling businesses to automate processes, detect patterns, and generate actionable intelligence.
In conclusion, the Global Decision Intelligence Market is being driven by several key factors. The increasing demand for real-time data, growing awareness of the benefits of Decision Intelligence, and technological advancements in the field are propelling the market's growth. As businesses across various industries recognize the immense value of Decision Intelligence, the market is poised for significant expansion. By leveraging Decision Intelligence, organizations can enhance their operations, improve decision-making processes, and gain a competitive advantage in the global marketplace.
Key Market Challenges
Data Privacy and Security Concerns
One of the significant challenges facing the Global Decision Intelligence Market is the increasing concern over data privacy and security. As Decision Intelligence relies heavily on the collection and analysis of vast amounts of data, businesses and individuals are becoming more cautious about how their data is being used and protected. The potential risks of data breaches, unauthorized access, and misuse of sensitive information pose significant challenges to the widespread adoption of Decision Intelligence solutions.
To address this challenge, businesses operating in the Decision Intelligence space must prioritize robust data protection measures. This includes implementing stringent security protocols, encryption techniques, and compliance with relevant data privacy regulations such as the General Data Protection Regulation (GDPR). Building trust with customers and stakeholders by demonstrating a commitment to data privacy and security will be crucial for the long-term success of Decision Intelligence solutions.
Integration and Interoperability Issues
Another challenge facing the Global Decision Intelligence Market is the complexity of integrating Decision Intelligence systems with existing infrastructure and technologies. Many organizations already have established systems and processes in place, making it challenging to seamlessly integrate Decision Intelligence solutions into their operations. Additionally, interoperability issues arise when different Decision Intelligence platforms and tools need to communicate and share data effectively.
To overcome this challenge, businesses need to invest in robust integration frameworks and standardized protocols that facilitate seamless data exchange between different systems. Collaboration between Decision Intelligence solution providers and existing technology vendors can help streamline integration efforts and ensure compatibility. Furthermore, industry-wide standards and best practices for interoperability should be developed to enable smooth integration of Decision Intelligence solutions across various sectors.
In conclusion, the Global Decision Intelligence Market faces challenges related to data privacy and security concerns, as well as integration and interoperability issues. Addressing these challenges will require a proactive approach from businesses, including implementing robust data protection measures and investing in integration frameworks. By overcoming these challenges, the Decision Intelligence Market can unlock its full potential and provide businesses with valuable insights for informed decision-making.
Key Market Trends
Adoption of Cloud-Based Decision Intelligence Solutions
Cloud computing has revolutionized the way businesses store, access, and analyze data. In the Global Decision Intelligence Market, there is a growing trend towards adopting cloud-based solutions. Cloud-based Decision Intelligence platforms offer several advantages, including scalability, flexibility, and cost-effectiveness. By leveraging cloud infrastructure, businesses can easily access and process large volumes of data, enabling real-time decision-making and analysis. Additionally, cloud-based solutions facilitate collaboration and data sharing across teams and departments, enhancing overall organizational efficiency.
Integration of Decision Intelligence with Internet of Things (IoT)
The Internet of Things (IoT) has gained significant traction across industries, connecting devices and enabling data exchange. In the Global Decision Intelligence Market, there is a notable trend towards integrating Decision Intelligence with IoT technologies. By combining Decision Intelligence with IoT, businesses can gather real-time data from connected devices, sensors, and machines. This integration allows for more accurate and timely decision-making, as organizations can leverage insights from IoT-generated data to optimize processes, improve operational efficiency, and enhance customer experiences. The synergy between Decision Intelligence and IoT opens up new possibilities for businesses to gain deeper insights and drive innovation.
Rise of Explainable and Ethical Decision Intelligence
As Decision Intelligence becomes more prevalent, there is a growing emphasis on the need for explainable and ethical decision-making processes. Businesses are increasingly recognizing the importance of understanding how decisions are made and ensuring transparency in the Decision Intelligence algorithms and models used. This trend is driven by the need to build trust with customers, stakeholders, and regulatory bodies. Explainable Decision Intelligence enables businesses to provide clear justifications for decisions, enhancing accountability and mitigating potential biases. Ethical considerations in Decision Intelligence involve ensuring fairness, privacy, and responsible use of data. Adhering to ethical principles in Decision Intelligence is crucial for maintaining public trust and avoiding reputational risks.
In conclusion, the Global Decision Intelligence Market is witnessing several notable trends. The adoption of cloud-based solutions, integration with IoT technologies, and the focus on explainable and ethical decision-making are shaping the future of Decision Intelligence. By staying abreast of these trends, businesses can leverage Decision Intelligence to gain a competitive edge, drive innovation, and make informed decisions in an increasingly data-driven business landscape.
Segmental Insights
Deployment Mode Insights
In 2022, the cloud-based deployment mode segment dominated the Global Decision Intelligence Market and is expected to maintain its dominance during the forecast period. The increasing adoption of cloud computing across industries has been a key driver for the growth of cloud-based Decision Intelligence solutions. Cloud deployment offers several advantages, including scalability, flexibility, and cost-effectiveness, which have resonated with businesses seeking efficient and accessible decision-making capabilities. Cloud-based Decision Intelligence solutions enable organizations to store, process, and analyze large volumes of data in real-time, empowering them to make informed decisions quickly and effectively. Additionally, cloud deployment facilitates seamless collaboration and data sharing across teams and departments, enhancing overall organizational efficiency. The scalability of cloud infrastructure allows businesses to easily scale their Decision Intelligence capabilities as their data requirements grow. Furthermore, cloud-based solutions offer the advantage of remote accessibility, enabling decision-makers to access critical insights from anywhere, at any time. These factors have contributed to the dominance of the cloud-based deployment mode segment in the Global Decision Intelligence Market in 2022, and this trend is expected to continue in the forecast period as more businesses recognize the benefits of cloud-based Decision Intelligence solutions and embrace the shift towards cloud computing for their decision-making needs.
Component Insights
In 2022, the software segment dominated the Global Decision Intelligence Market and is expected to maintain its dominance during the forecast period. The software component plays a crucial role in enabling organizations to leverage the power of Decision Intelligence by providing the necessary tools and algorithms for data analysis, modeling, and decision-making. The increasing demand for advanced analytics and machine learning capabilities has been a key driver for the growth of the software segment. Decision Intelligence software offers a wide range of functionalities, including data integration, visualization, predictive modeling, and optimization, empowering businesses to extract valuable insights from complex datasets and make informed decisions. Additionally, the software segment benefits from continuous advancements in AI and ML technologies, enabling organizations to leverage sophisticated algorithms and models for enhanced decision-making. The availability of user-friendly and customizable software solutions has also contributed to the dominance of the software segment. Businesses can choose from a variety of software options tailored to their specific needs, allowing for seamless integration with existing systems and workflows. Furthermore, the software segment offers the advantage of scalability, allowing organizations to expand their Decision Intelligence capabilities as their data requirements grow. With the increasing emphasis on data-driven decision-making and the growing adoption of Decision Intelligence across industries, the demand for software solutions is expected to remain high in the forecast period. As organizations continue to prioritize digital transformation and invest in advanced analytics capabilities, the software segment is poised to maintain its dominance in the Global Decision Intelligence Market, driving innovation and enabling businesses to gain a competitive edge through data-driven insights and informed decision-making.
Regional Insights
In 2022, North America dominated the Global Decision Intelligence Market by region and is expected to maintain its dominance during the forecast period. North America has been at the forefront of technological advancements and digital transformation, driving the adoption of Decision Intelligence across various industries. The region is home to several key players in the Decision Intelligence market, including technology giants and innovative startups, which have contributed to the growth and dominance of the market in North America. The presence of a robust infrastructure, including advanced data centers and cloud computing capabilities, has facilitated the implementation and scalability of Decision Intelligence solutions in the region. Additionally, North America has a strong ecosystem of research and development, fostering innovation and driving the development of cutting-edge Decision Intelligence technologies. The region's emphasis on data-driven decision-making, coupled with a high level of awareness and understanding of the benefits of Decision Intelligence, has further fueled its dominance in the market. Moreover, North America has a diverse range of industries, including healthcare, finance, retail, and manufacturing, which have recognized the value of Decision Intelligence in optimizing operations, improving customer experiences, and gaining a competitive edge. The region's strong regulatory framework and focus on data privacy and security have also instilled confidence in businesses to adopt Decision Intelligence solutions. With ongoing investments in AI and analytics technologies, as well as the increasing demand for advanced decision-making capabilities, North America is expected to maintain its dominance in the Global Decision Intelligence Market during the forecast period.
Key Market Players
IBM Corporation
Microsoft Corporation
Google LLC
Salesforce.com, Inc
SAS Institute Inc.
Oracle Corporation
SAP SE
Intel Corporation
Amazon Web Services, Inc.
Accenture plc
Report Scope:
In this report, the Global Decision Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Decision Intelligence Market, By Deployment Mode:
- Cloud
- On-Premises
- Decision Intelligence Market, By Component:
- Hardware
- Software
- Services
- Decision Intelligence Market, By End-User Industry:
- Retail
- Finance
- Healthcare
- Telecommunications
- Manufacturing
- Others
- Decision Intelligence Market, By Region:
- North America
- United States
- Canada
- Mexico
- Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
- Netherlands
- Belgium
- Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
- Thailand
- Malaysia
- South America
- Brazil
- Argentina
- Colombia
- Chile
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Turkey
Company Profiles: Detailed analysis of the major companies present in the Global Decision Intelligence Market.
Available Customizations:
Global Decision Intelligence market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1. Secondary Research
2.5.2. Primary Research
2.6. Approach for the Market Study
2.6.1. The Bottom-Up Approach
2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1. Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON GLOBAL DECISION INTELLIGENCE MARKET
5. VOICE OF CUSTOMER
6. GLOBAL DECISION INTELLIGENCE MARKET OVERVIEW
7. GLOBAL DECISION INTELLIGENCE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Mode (Cloud, On-Premises)
7.2.2. By Component (Hardware, Software, and Services)
7.2.3. By End-User Industry (Retail, Finance, Healthcare, Telecommunications, Manufacturing, Others)
7.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
7.3. By Company (2022)
7.4. Market Map
8. NORTH AMERICA DECISION INTELLIGENCE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Mode
8.2.2. By Component
8.2.3. By End-User Industry
8.2.4. By Country
8.3. North America: Country Analysis
8.3.1. United States Decision Intelligence Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Deployment Mode
8.3.1.2.2. By Component
8.3.1.2.3. By End-User Industry
8.3.2. Canada Decision Intelligence Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Deployment Mode
8.3.2.2.2. By Component
8.3.2.2.3. By End-User Industry
8.3.3. Mexico Decision Intelligence Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Deployment Mode
8.3.3.2.2. By Component
8.3.3.2.3. By End-User Industry
9. EUROPE DECISION INTELLIGENCE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Mode
9.2.2. By Component
9.2.3. By End-User Industry
9.2.4. By Country
9.3. Europe: Country Analysis
9.3.1. Germany Decision Intelligence Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Deployment Mode
9.3.1.2.2. By Component
9.3.1.2.3. By End-User Industry
9.3.2. France Decision Intelligence Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Deployment Mode
9.3.2.2.2. By Component
9.3.2.2.3. By End-User Industry
9.3.3. United Kingdom Decision Intelligence Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Deployment Mode
9.3.3.2.2. By Component
9.3.3.2.3. By End-User Industry
9.3.4. Italy Decision Intelligence Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Deployment Mode
9.3.4.2.2. By Component
9.3.4.2.3. By End-User Industry
9.3.5. Spain Decision Intelligence Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Deployment Mode
9.3.5.2.2. By Component
9.3.5.2.3. By End-User Industry
9.3.6. Netherlands Decision Intelligence Market Outlook
9.3.6.1. Market Size & Forecast
9.3.6.1.1. By Value
9.3.6.2. Market Share & Forecast
9.3.6.2.1. By Deployment Mode
9.3.6.2.2. By Component
9.3.6.2.3. By End-User Industry
9.3.7. Belgium Decision Intelligence Market Outlook
9.3.7.1. Market Size & Forecast
9.3.7.1.1. By Value
9.3.7.2. Market Share & Forecast
9.3.7.2.1. By Deployment Mode
9.3.7.2.2. By Component
9.3.7.2.3. By End-User Industry
10. SOUTH AMERICA DECISION INTELLIGENCE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Mode
10.2.2. By Component
10.2.3. By End-User Industry
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Decision Intelligence Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Deployment Mode
10.3.1.2.2. By Component
10.3.1.2.3. By End-User Industry
10.3.2. Colombia Decision Intelligence Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Deployment Mode
10.3.2.2.2. By Component
10.3.2.2.3. By End-User Industry
10.3.3. Argentina Decision Intelligence Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Deployment Mode
10.3.3.2.2. By Component
10.3.3.2.3. By End-User Industry
10.3.4. Chile Decision Intelligence Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Deployment Mode
10.3.4.2.2. By Component
10.3.4.2.3. By End-User Industry
11. MIDDLE EAST & AFRICA DECISION INTELLIGENCE MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Mode
11.2.2. By Component
11.2.3. By End-User Industry
11.2.4. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. Saudi Arabia Decision Intelligence Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Deployment Mode
11.3.1.2.2. By Component
11.3.1.2.3. By End-User Industry
11.3.2. UAE Decision Intelligence Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Deployment Mode
11.3.2.2.2. By Component
11.3.2.2.3. By End-User Industry
11.3.3. South Africa Decision Intelligence Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Deployment Mode
11.3.3.2.2. By Component
11.3.3.2.3. By End-User Industry
11.3.4. Turkey Decision Intelligence Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Deployment Mode
11.3.4.2.2. By Component
11.3.4.2.3. By End-User Industry
12. ASIA PACIFIC DECISION INTELLIGENCE MARKET OUTLOOK
12.1. Market Size & Forecast
12.1.1. By Deployment Mode
12.1.2. By Component
12.1.3. By End-User Industry
12.1.4. By Country
12.2. Asia-Pacific: Country Analysis
12.2.1. China Decision Intelligence Market Outlook
12.2.1.1. Market Size & Forecast
12.2.1.1.1. By Value
12.2.1.2. Market Share & Forecast
12.2.1.2.1. By Deployment Mode
12.2.1.2.2. By Component
12.2.1.2.3. By End-User Industry
12.2.2. India Decision Intelligence Market Outlook
12.2.2.1. Market Size & Forecast
12.2.2.1.1. By Value
12.2.2.2. Market Share & Forecast
12.2.2.2.1. By Deployment Mode
12.2.2.2.2. By Component
12.2.2.2.3. By End-User Industry
12.2.3. Japan Decision Intelligence Market Outlook
12.2.3.1. Market Size & Forecast
12.2.3.1.1. By Value
12.2.3.2. Market Share & Forecast
12.2.3.2.1. By Deployment Mode
12.2.3.2.2. By Component
12.2.3.2.3. By End-User Industry
12.2.4. South Korea Decision Intelligence Market Outlook
12.2.4.1. Market Size & Forecast
12.2.4.1.1. By Value
12.2.4.2. Market Share & Forecast
12.2.4.2.1. By Deployment Mode
12.2.4.2.2. By Component
12.2.4.2.3. By End-User Industry
12.2.5. Australia Decision Intelligence Market Outlook
12.2.5.1. Market Size & Forecast
12.2.5.1.1. By Value
12.2.5.2. Market Share & Forecast
12.2.5.2.1. By Deployment Mode
12.2.5.2.2. By Component
12.2.5.2.3. By End-User Industry
12.2.6. Thailand Decision Intelligence Market Outlook
12.2.6.1. Market Size & Forecast
12.2.6.1.1. By Value
12.2.6.2. Market Share & Forecast
12.2.6.2.1. By Deployment Mode
12.2.6.2.2. By Component
12.2.6.2.3. By End-User Industry
12.2.7. Malaysia Decision Intelligence Market Outlook
12.2.7.1. Market Size & Forecast
12.2.7.1.1. By Value
12.2.7.2. Market Share & Forecast
12.2.7.2.1. By Deployment Mode
12.2.7.2.2. By Component
12.2.7.2.3. By End-User Industry
13. MARKET DYNAMICS
13.1. Drivers
13.2. Challenges
14. MARKET TRENDS AND DEVELOPMENTS
15. COMPANY PROFILES
15.1. IBM Corporation
15.1.1. Business Overview
15.1.2. Key Revenue and Financials
15.1.3. Recent Developments
15.1.4. Key Personnel/Key Contact Person
15.1.5. Key Product/Services Offered
15.2. Microsoft Corporation
15.2.1. Business Overview
15.2.2. Key Revenue and Financials
15.2.3. Recent Developments
15.2.4. Key Personnel/Key Contact Person
15.2.5. Key Product/Services Offered
15.3. Google LLC.
15.3.1. Business Overview
15.3.2. Key Revenue and Financials
15.3.3. Recent Developments
15.3.4. Key Personnel/Key Contact Person
15.3.5. Key Product/Services Offered
15.4. Salesforce.com, Inc
15.4.1. Business Overview
15.4.2. Key Revenue and Financials
15.4.3. Recent Developments
15.4.4. Key Personnel/Key Contact Person
15.4.5. Key Product/Services Offered
15.5. SAS Institute Inc.
15.5.1. Business Overview
15.5.2. Key Revenue and Financials
15.5.3. Recent Developments
15.5.4. Key Personnel/Key Contact Person
15.5.5. Key Product/Services Offered
15.6. Oracle Corporation
15.6.1. Business Overview
15.6.2. Key Revenue and Financials
15.6.3. Recent Developments
15.6.4. Key Personnel/Key Contact Person
15.6.5. Key Product/Services Offered
15.7. SAP SE
15.7.1. Business Overview
15.7.2. Key Revenue and Financials
15.7.3. Recent Developments
15.7.4. Key Personnel/Key Contact Person
15.7.5. Key Product/Services Offered
15.8. Intel Corporation
15.8.1. Business Overview
15.8.2. Key Revenue and Financials
15.8.3. Recent Developments
15.8.4. Key Personnel/Key Contact Person
15.8.5. Key Product/Services Offered
15.9. Amazon Web Services, Inc.
15.9.1. Business Overview
15.9.2. Key Revenue and Financials
15.9.3. Recent Developments
15.9.4. Key Personnel/Key Contact Person
15.9.5. Key Product/Services Offered
15.10. Accenture plc
15.10.1. Business Overview
15.10.2. Key Revenue and Financials
15.10.3. Recent Developments
15.10.4. Key Personnel/Key Contact Person
15.10.5. Key Product/Services Offered
16. STRATEGIC RECOMMENDATIONS
About Us & Disclaimer
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1. Secondary Research
2.5.2. Primary Research
2.6. Approach for the Market Study
2.6.1. The Bottom-Up Approach
2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1. Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON GLOBAL DECISION INTELLIGENCE MARKET
5. VOICE OF CUSTOMER
6. GLOBAL DECISION INTELLIGENCE MARKET OVERVIEW
7. GLOBAL DECISION INTELLIGENCE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Mode (Cloud, On-Premises)
7.2.2. By Component (Hardware, Software, and Services)
7.2.3. By End-User Industry (Retail, Finance, Healthcare, Telecommunications, Manufacturing, Others)
7.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
7.3. By Company (2022)
7.4. Market Map
8. NORTH AMERICA DECISION INTELLIGENCE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Mode
8.2.2. By Component
8.2.3. By End-User Industry
8.2.4. By Country
8.3. North America: Country Analysis
8.3.1. United States Decision Intelligence Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Deployment Mode
8.3.1.2.2. By Component
8.3.1.2.3. By End-User Industry
8.3.2. Canada Decision Intelligence Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Deployment Mode
8.3.2.2.2. By Component
8.3.2.2.3. By End-User Industry
8.3.3. Mexico Decision Intelligence Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Deployment Mode
8.3.3.2.2. By Component
8.3.3.2.3. By End-User Industry
9. EUROPE DECISION INTELLIGENCE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Mode
9.2.2. By Component
9.2.3. By End-User Industry
9.2.4. By Country
9.3. Europe: Country Analysis
9.3.1. Germany Decision Intelligence Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Deployment Mode
9.3.1.2.2. By Component
9.3.1.2.3. By End-User Industry
9.3.2. France Decision Intelligence Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Deployment Mode
9.3.2.2.2. By Component
9.3.2.2.3. By End-User Industry
9.3.3. United Kingdom Decision Intelligence Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Deployment Mode
9.3.3.2.2. By Component
9.3.3.2.3. By End-User Industry
9.3.4. Italy Decision Intelligence Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Deployment Mode
9.3.4.2.2. By Component
9.3.4.2.3. By End-User Industry
9.3.5. Spain Decision Intelligence Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Deployment Mode
9.3.5.2.2. By Component
9.3.5.2.3. By End-User Industry
9.3.6. Netherlands Decision Intelligence Market Outlook
9.3.6.1. Market Size & Forecast
9.3.6.1.1. By Value
9.3.6.2. Market Share & Forecast
9.3.6.2.1. By Deployment Mode
9.3.6.2.2. By Component
9.3.6.2.3. By End-User Industry
9.3.7. Belgium Decision Intelligence Market Outlook
9.3.7.1. Market Size & Forecast
9.3.7.1.1. By Value
9.3.7.2. Market Share & Forecast
9.3.7.2.1. By Deployment Mode
9.3.7.2.2. By Component
9.3.7.2.3. By End-User Industry
10. SOUTH AMERICA DECISION INTELLIGENCE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Mode
10.2.2. By Component
10.2.3. By End-User Industry
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Decision Intelligence Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Deployment Mode
10.3.1.2.2. By Component
10.3.1.2.3. By End-User Industry
10.3.2. Colombia Decision Intelligence Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Deployment Mode
10.3.2.2.2. By Component
10.3.2.2.3. By End-User Industry
10.3.3. Argentina Decision Intelligence Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Deployment Mode
10.3.3.2.2. By Component
10.3.3.2.3. By End-User Industry
10.3.4. Chile Decision Intelligence Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Deployment Mode
10.3.4.2.2. By Component
10.3.4.2.3. By End-User Industry
11. MIDDLE EAST & AFRICA DECISION INTELLIGENCE MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Mode
11.2.2. By Component
11.2.3. By End-User Industry
11.2.4. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. Saudi Arabia Decision Intelligence Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Deployment Mode
11.3.1.2.2. By Component
11.3.1.2.3. By End-User Industry
11.3.2. UAE Decision Intelligence Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Deployment Mode
11.3.2.2.2. By Component
11.3.2.2.3. By End-User Industry
11.3.3. South Africa Decision Intelligence Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Deployment Mode
11.3.3.2.2. By Component
11.3.3.2.3. By End-User Industry
11.3.4. Turkey Decision Intelligence Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Deployment Mode
11.3.4.2.2. By Component
11.3.4.2.3. By End-User Industry
12. ASIA PACIFIC DECISION INTELLIGENCE MARKET OUTLOOK
12.1. Market Size & Forecast
12.1.1. By Deployment Mode
12.1.2. By Component
12.1.3. By End-User Industry
12.1.4. By Country
12.2. Asia-Pacific: Country Analysis
12.2.1. China Decision Intelligence Market Outlook
12.2.1.1. Market Size & Forecast
12.2.1.1.1. By Value
12.2.1.2. Market Share & Forecast
12.2.1.2.1. By Deployment Mode
12.2.1.2.2. By Component
12.2.1.2.3. By End-User Industry
12.2.2. India Decision Intelligence Market Outlook
12.2.2.1. Market Size & Forecast
12.2.2.1.1. By Value
12.2.2.2. Market Share & Forecast
12.2.2.2.1. By Deployment Mode
12.2.2.2.2. By Component
12.2.2.2.3. By End-User Industry
12.2.3. Japan Decision Intelligence Market Outlook
12.2.3.1. Market Size & Forecast
12.2.3.1.1. By Value
12.2.3.2. Market Share & Forecast
12.2.3.2.1. By Deployment Mode
12.2.3.2.2. By Component
12.2.3.2.3. By End-User Industry
12.2.4. South Korea Decision Intelligence Market Outlook
12.2.4.1. Market Size & Forecast
12.2.4.1.1. By Value
12.2.4.2. Market Share & Forecast
12.2.4.2.1. By Deployment Mode
12.2.4.2.2. By Component
12.2.4.2.3. By End-User Industry
12.2.5. Australia Decision Intelligence Market Outlook
12.2.5.1. Market Size & Forecast
12.2.5.1.1. By Value
12.2.5.2. Market Share & Forecast
12.2.5.2.1. By Deployment Mode
12.2.5.2.2. By Component
12.2.5.2.3. By End-User Industry
12.2.6. Thailand Decision Intelligence Market Outlook
12.2.6.1. Market Size & Forecast
12.2.6.1.1. By Value
12.2.6.2. Market Share & Forecast
12.2.6.2.1. By Deployment Mode
12.2.6.2.2. By Component
12.2.6.2.3. By End-User Industry
12.2.7. Malaysia Decision Intelligence Market Outlook
12.2.7.1. Market Size & Forecast
12.2.7.1.1. By Value
12.2.7.2. Market Share & Forecast
12.2.7.2.1. By Deployment Mode
12.2.7.2.2. By Component
12.2.7.2.3. By End-User Industry
13. MARKET DYNAMICS
13.1. Drivers
13.2. Challenges
14. MARKET TRENDS AND DEVELOPMENTS
15. COMPANY PROFILES
15.1. IBM Corporation
15.1.1. Business Overview
15.1.2. Key Revenue and Financials
15.1.3. Recent Developments
15.1.4. Key Personnel/Key Contact Person
15.1.5. Key Product/Services Offered
15.2. Microsoft Corporation
15.2.1. Business Overview
15.2.2. Key Revenue and Financials
15.2.3. Recent Developments
15.2.4. Key Personnel/Key Contact Person
15.2.5. Key Product/Services Offered
15.3. Google LLC.
15.3.1. Business Overview
15.3.2. Key Revenue and Financials
15.3.3. Recent Developments
15.3.4. Key Personnel/Key Contact Person
15.3.5. Key Product/Services Offered
15.4. Salesforce.com, Inc
15.4.1. Business Overview
15.4.2. Key Revenue and Financials
15.4.3. Recent Developments
15.4.4. Key Personnel/Key Contact Person
15.4.5. Key Product/Services Offered
15.5. SAS Institute Inc.
15.5.1. Business Overview
15.5.2. Key Revenue and Financials
15.5.3. Recent Developments
15.5.4. Key Personnel/Key Contact Person
15.5.5. Key Product/Services Offered
15.6. Oracle Corporation
15.6.1. Business Overview
15.6.2. Key Revenue and Financials
15.6.3. Recent Developments
15.6.4. Key Personnel/Key Contact Person
15.6.5. Key Product/Services Offered
15.7. SAP SE
15.7.1. Business Overview
15.7.2. Key Revenue and Financials
15.7.3. Recent Developments
15.7.4. Key Personnel/Key Contact Person
15.7.5. Key Product/Services Offered
15.8. Intel Corporation
15.8.1. Business Overview
15.8.2. Key Revenue and Financials
15.8.3. Recent Developments
15.8.4. Key Personnel/Key Contact Person
15.8.5. Key Product/Services Offered
15.9. Amazon Web Services, Inc.
15.9.1. Business Overview
15.9.2. Key Revenue and Financials
15.9.3. Recent Developments
15.9.4. Key Personnel/Key Contact Person
15.9.5. Key Product/Services Offered
15.10. Accenture plc
15.10.1. Business Overview
15.10.2. Key Revenue and Financials
15.10.3. Recent Developments
15.10.4. Key Personnel/Key Contact Person
15.10.5. Key Product/Services Offered
16. STRATEGIC RECOMMENDATIONS
About Us & Disclaimer
