Decision Intelligence Market

Decision Intelligence Market (Platforms, Solutions (Integrated & Standalone), and Services), Deployment Type (Cloud, On-premises), Organization Size, Vertical (BFSI, Healthcare & Life Sciences, and Retail & eCommerce) and Region - Global Forecast to 2027

Report Code: TC 8547 Jan, 2023, by marketsandmarkets.com

[242 Pages Report] The global decision intelligence market is projected to grow from USD 10.0 billion in 2022 to USD 22.7 billion by 2027, at a CAGR of 17.8% during the forecast period. Due to its efficacy, decision intelligence is becoming more and more popular among enterprises. Businesses that apply it can enhance organizational performance while giving customers a greater experience. It is an accurate and economical method for enhancing decision-making. The decision intelligence market is segmented based on components, deployment modes, organization sizes, verticals, and regions.

Decision Intelligence Market

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Market Dynamics

Driver: Advent of ML and AI helping various industries to maximize the potential of decision intelligence

Decision intelligence is emerging as a solution that may combine decision support, decision management, and complex systems applications in response to the urgent need to digitize and benefit from new technologies such as AI and ML. AI and ML both support decision intelligence by improving forecasting and predictive ability. Decision intelligence is used by organizations to help automate and accelerate decision-making processes across a wide range of use cases and industries. Decision intelligence fills the gap between data and better decision making for organizations struggling to survive in a sea of data. Decision intelligence may help industries such as financial services, healthcare, and supply chain make the most of their data and maximize the potential of AI. These industries currently have a pressing need for accurate decision-making. The introduction and implementation of ML and AI have helped providers in understanding customer perceptions by analyzing the data collected from multiple sources. Enterprises have shifted their focus to deliver a unified customer experience across all channels and provide offers in real-time by analyzing customer buying patterns.

Restraint: Information overload and dependence on Decision Support Systems

Sometimes an automated decision-making system might lead to information overload. Since it examines every facet of a problem, a user is left unsure of what to consider and what to disregard. Not all information is required for decision-making. However, when it's there, a decision-maker finds it challenging to disregard information that isn't important. It is accurate to say that decision support systems (DSS) are incorporated into enterprises to facilitate and speed up routine decisions. Some decision-makers have a propensity to rely too heavily on automated decision-making and refuse to use their own judgement. There is undoubtedly a change in emphasis, and decision-makers may not be able to further develop their skills due to an overwhelming reliance on DSS.

Opportunity: Surge in the developments of big data technology for actionable business intelligence

Decision intelligence is a rapidly developing field of artificial intelligence and data science, many decisions intelligence-related software tasks have been successfully solved and integrated that are used on the internet, such as morphological and syntactic analysis. Decision intelligence and Big Data analytics can work together and form powerful systems for handling big data at massive scales to discover knowledge, perform text analysis and opinion mining, and facilitate decision-making for business and management.

Decision intelligence for big data can be leveraged to automatically find relevant information and summarize the content of documents in large volumes of information for collective insight. Users are no longer limited by having to choose or know the “right” keywords to retrieve what they are looking for but can interact with the content through search using queries in their own words. It helps faster access to information, speeds up all downstream processes that depend on timely information, and enables its use for real-time, actionable business intelligence. Thus, decision intelligence for big data presents an opportunity to take advantage of what is contained in large and growing stores of content to reveal patterns, connections, and trends across different sources of data. Moreover, decision intelligence is seen as the next big buzz in data analytics that can harness big data to derive information using innovative methods to produce useful insights on existing or projected market trends.

Challenge: Security of data and concerns on privacy to hinder the widespread adoption of Decision Intelligence

The backbone of Decision Intelligence solutions, data, remains a critically important aspect that most organizations find difficult to manage. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. In today’s competitive marketplace, marketing teams require real-time and secure data to deliver an outstanding customer experience. Organizations are gathering data through multiple touchpoints and measure them virtually. Such data is used in support and communication and may include a variety of data types. These data types comprise public information, big data, and small data collected from customers.

This data can include permissions, individual preferences, and updated contact information on products, services, and communication platforms. Hence, vendors need to ensure high-level data security to maintain customer trust. Recently, cybercriminals have gained access to widespread tools to obtain anything from passwords to secret questions and token-generated passwords. In such situations, marketing and IT teams need to work concurrently, providing each other with insights on when and how the data is gathered, processed, and used in operations.

Such potent cyber-attacks continue to hinder the widespread adoption of Decision Intelligence across data-intensive industrial sectors. However, this scenario is expected to gradually change throughout the forecast period as the benefits of technology adoption continue to outweigh the risks associated and with overall developments on the data security front.

Healthcare and Life Sciences vertical to register at the highest CAGR during the forecast period

The decision intelligence market by vertical is segmented into: BFSI, telecom, healthcare and life sciences, retail and e-commerce, government and defense, manufacturing, IT and ITeS, energy and utilities, transportation and logistics, and others (media and entertainment, travel and hospitality, and education and research). Among vertical, the healthcare & life sciences vertical registered to grow at a highest CAGR during the forecast period. The Decision Intelligence market is witnessing increased growth opportunities in the healthcare and life sciences vertical. AI has captivated the healthcare industry as the creative analytics tactics become increasingly accurate and relevant to a variety of jobs. The immediate demand driving AI development in the healthcare industry today is decision intelligence. AI, analytics, and data integration enable decision-making platforms to hold, augment, automate, and speed up judgments.

Platform segments register to account for the largest market size during the forecast period

The requirement for combining information from several independent sources expands quickly along with the number of data that businesses create and gather. IT giants like IBM, Microsoft, and Google were compelled to create and construct decision intelligence platform to assist IT teams in streamlining and managing the process due to the abundance of data that amounts to big data. Organizations must assess their data requirements considering the numerous decision intelligence available before deploying the program.

North America to account for the largest market size during the forecast period

North America is expected to have the largest market share in the decision intelligence market. North America is one of the leading marketrs for Decision Intelligence in terms of market share. Decision intelligence is expanding in this region as a result of the adoption of the technologies in nations like the US and Canada across a wide range of industry sectors. The region is expected to grow at a faster rate throughout the anticipated time due to rising expenditure in the procedure of research & development. The decision intelligence industry's expanding regional player base is anticipated to fuel additional market expansion. Moreover, the market is predicted to be supported by rising expenditures made by prominent vendors in product capabilities and company growth.

Decision Intelligence Market Size, and Share

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Key Market Players

The decision intelligence vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global decision intelligence market include Google (US), IBM (US), Oracle (US), Microsoft (US), Board International (Switzerland), Cerebra (US), Clarifai (US), Diwo.ai (US), Domo (US), H2O.AI (US), Intel (US), Metaphacts  (Germany), Pace Revenue (UK), Paretos (Germany), Peak.ai (UK), Provenir (US), Quantellia (US), Systems Technology Group (US), Pyramid Analytics (Netherlands), Tellius (US) and Course5i (India).

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Scope of the Report

Report Metrics

Details

Market size available for years

2018–2027

Base year considered

2022

Forecast period

2022–2027

Forecast units

USD Million/Billion

Segments covered

Component, Deployment Mode, Organization Size, Industry Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

Google (US), IBM (US), Oracle (US), Microsoft (US), Board International (Switzerland), Cerebra (US), Clarifai (US), Diwo.ai (US), Domo (US), H2O.AI (US), Intel (US), Metaphacts  (Germany), Pace Revenue (UK), Paretos (Germany), Peak.ai (UK), Provenir (US), Quantellia (US), Systems Technology Group (US), Pyramid Analaytics  (Netherlands), Tellius (US) and Course5i (India).

This research report categorizes the decision intelligence market based on components, solution, type, application, deployment mode, organization size, application, vertical, and regions.

By Component:
  • Platform
  • Solutions
  • Services
By Solutions:
  • Integrated
  • Standalone
By Services:
  • Consulting
  • Deployment and Integrations
  • Support and Maintenance
By Deployment Mode:
  • Cloud
  • On-premises
By Organization Size:
  • Large Enterprises
  • SMEs
By Vertical:
  • BFSI
  • Retail & eCommerce
  • Government & Defense
  • Healthcare & Life Sciences
  • Manufacturing
  • Telecom
  • IT & ITeS
  • Energy & Utilities
  • Transportation & Logistics
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Rest of Asia Pacific
  • Middle East & Africa
    • Middle East
    • Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In September 2022, Provenir Partnered with Inovatec. Through the Partnership, car borrowers will have access to Provenir's risk decisioning solutions through the LOS platform from Inovatec.
  • In June 2022, Microsoft Collaborated with P&G. Through the partnership, P&G can digitize and integrate information from more than 100 production facilities worldwide and improve its edge computing, AI, and machine learning services for real-time visibility. Employees at P&G will be able to assess production data and use artificial intelligence to make fast decisions that enhance development and have an exponential effect.
  • In June 2022, IBM acquired Databand.ai. Through the acquisition, Databand.ai will be able to increase the scope of its observability capabilities enabling deeper connections with more open source and for-profit products that drive the modern data stack, with the additional resources made available by this purchase. Additionally, businesses will have complete control over how Databand.ai is used, whether as a software-as-a-service (SaaS) or a self-hosted subscription.
  • In April 2022, Sopra Steria and IBM launched the Sopra Steria Alive Intelligence (SSAI) offering. The IBM Watson Assistant, a customizable virtual agent for all fields, powers the Sopra Steria Alive Intelligence (SSAI) solution. This data is utilized to enhance decision-making and create new services that are tailored to the needs of consumers and users. The new artificial intelligence services will be accessible on Sopra Steria's Trusted Digital Platform in France for businesses and governmental organizations around Europe.
  • In March 2022, Provenir with Francisco Franch declared to assist the rising number of financial services businesses looking for AI-powered risk decisioning tools. Franch will oversee managing Spain's sales operations, company growth, and marketing plans.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 37)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATE, 2019–2021
    1.5 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 42)
    2.1 RESEARCH DATA 
           FIGURE 1 DECISION INTELLIGENCE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 DECISION INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM DECISION INTELLIGENCE PLATFORMS/SOLUTIONS/SERVICES
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL DECISION INTELLIGENCE PLATFORMS/SOLUTIONS/SERVICES
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL DECISION INTELLIGENCE PLATFORMS/SERVICES
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF DECISION INTELLIGENCE THROUGH OVERALL DECISION INTELLIGENCE SPENDING
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 COMPANY EVALUATION MATRIX METHODOLOGY 
           FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 
           FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.7 ASSUMPTIONS 
    2.8 LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 55)
    TABLE 4 GLOBAL DECISION INTELLIGENCE MARKET SIZE AND GROWTH RATE,  2018–2021 (USD MILLION, Y-O-Y%) 
    TABLE 5 GLOBAL DECISION INTELLIGENCE MARKET SIZE AND GROWTH RATE,  2022–2027 (USD MILLION, Y-O-Y%) 
    FIGURE 10 PLATFORMS SEGMENT TO HOLD LARGER MARKET SIZE IN 2022 
    FIGURE 11 CONSULTING SEGMENT TO HOLD LARGEST MARKET SHARE IN 2022 
    FIGURE 12 INTEGRATED SOLUTIONS TO HOLD LARGER MARKET SIZE IN 2022 
    FIGURE 13 CLOUD SEGMENT TO HOLD LARGER MARKET SIZE IN 2022 
    FIGURE 14 LARGE ENTERPRISES SEGMENT TO HOLD LARGER MARKET SHARE IN 2022 
    FIGURE 15 BFSI VERTICAL TO HOLD LARGEST MARKET SIZE IN 2022 
    FIGURE 16 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2022 
 
4 PREMIUM INSIGHTS (Page No. - 59)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN DECISION INTELLIGENCE MARKET 
           FIGURE 17 HIGH DEMAND FOR PLATFORMS TRANSFERRING DATA FROM ON-PREMISES TO CLOUD TO DRIVE MARKET
    4.2 DECISION INTELLIGENCE MARKET, BY VERTICAL 
           FIGURE 18 BFSI VERTICAL TO HOLD THE LARGEST MARKET SIZE
    4.3 DECISION INTELLIGENCE MARKET, BY REGION 
           FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE BY 2027
    4.4 DECISION INTELLIGENCE MARKET: TOP TWO BUSINESS SOLUTIONS AND VERTICALS 
           FIGURE 20 INTEGRATED SOLUTIONS AND BFSI TO HOLD LARGEST MARKET SHARES  BY 2027
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 61)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES:  DECISION INTELLIGENCE MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Advent of ML and AI to maximize potential of decision intelligence
                    5.2.1.2 Increasing need to lower risks associated with human decisions
           5.2.2 RESTRAINTS
                    5.2.2.1 Information overload and dependence on decision support systems
                    5.2.2.2 Inability to quantify RoI
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Surge in developments of big data technology for actionable business intelligence
                    5.2.3.2 Elimination of mistakes and biases from decision-making process to boost adoption
           5.2.4 CHALLENGES
                    5.2.4.1 Integration of data from data silos
                    5.2.4.2 Security of data and concerns about privacy to hinder widespread adoption of decision intelligence
    5.3 DECISION INTELLIGENCE MARKET: ECOSYSTEM 
           TABLE 6 DECISION INTELLIGENCE MARKET: ECOSYSTEM
    5.4 CASE STUDY ANALYSIS 
           5.4.1 BFSI
                    5.4.1.1 Use Case 1: Humana used Watson Assistant to address customer queries
                    5.4.1.2 Use Case 2: H2O Driverless AI used by various financial institutions to detect and prevent fraud
           5.4.2 MANUFACTURING
                    5.4.2.1 Use Case: Coca-Cola used IBM Watson services for Core ML to identify equipment issues, diagnose problems, and troubleshoot repairs
           5.4.3 IT & TELECOM
                    5.4.3.1 Use Case: FreeAndSingle generated 5x more value from existing user base with Peak.AI
           5.4.4 GOVERNMENT & PUBLIC SECTOR
                    5.4.4.1 Use Case: Broward County’s Fort Lauderdale-Hollywood International Airport takes decision intelligence to new heights
           5.4.5 RETAIL & ECOMMERCE
                    5.4.5.1 Use Case: Peak.AI helped PrettyLittleThing to find new audiences during COVID-19
           5.4.6 HEALTHCARE & LIFE SCIENCES
                    5.4.6.1 Use Case: Improved healthcare operations through data analysis
           5.4.7 ENERGY & UTILITIES
                    5.4.7.1 Use Case: 10xDS modernized Budget Transfer and Updating Process in Saudi Arabia
    5.5 TECHNOLOGY ANALYSIS 
           5.5.1 DECISION INTELLIGENCE AND BIG DATA
           5.5.2 DECISION INTELLIGENCE AND ARTIFICIAL INTELLIGENCE
           5.5.3 DECISION INTELLIGENCE AND DATA ANALYTICS
    5.6 SUPPLY/VALUE CHAIN ANALYSIS 
           FIGURE 22 SUPPLY/VALUE CHAIN ANALYSIS
    5.7 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 23 DECISION INTELLIGENCE: PORTER’S FIVE FORCES ANALYSIS
           TABLE 7 DECISION INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.7.1 THREAT OF NEW ENTRANTS
           5.7.2 THREAT OF SUBSTITUTES
           5.7.3 BARGAINING POWER OF SUPPLIERS
           5.7.4 BARGAINING POWER OF BUYERS
           5.7.5 INTENSITY OF COMPETITIVE RIVALRY
    5.8 PRICING MODEL ANALYSIS 
    5.9 PATENT ANALYSIS 
           5.9.1 METHODOLOGY
           5.9.2 DOCUMENT TYPE
                    TABLE 8 PATENTS FILED, 2018–2021
           5.9.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED ANNUALLY, 2018–2021
                    5.9.3.1 Top applicants
                               FIGURE 25 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021
                               TABLE 9 TOP TEN PATENT OWNERS (US) IN DECISION INTELLIGENCE MARKET, 2018–2021
    5.10 KEY CONFERENCES AND EVENTS, 2022–2023 
           TABLE 10 DECISION INTELLIGENCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
    5.11 TARIFF AND REGULATORY LANDSCAPE 
           5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 14 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 15 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.11.2 NORTH AMERICA: REGULATIONS
                    5.11.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
                    5.11.2.2 Gramm-Leach-Bliley (GLB) Act
                    5.11.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
                    5.11.2.4 Federal Information Security Management Act (FISMA)
                    5.11.2.5 Federal Information Processing Standards (FIPS)
                    5.11.2.6 California Consumer Privacy Act (CSPA)
           5.11.3 EUROPE: TARIFFS AND REGULATIONS
                    5.11.3.1 GDPR 2016/679
                    5.11.3.2 General Data Protection Regulation
                    5.11.3.3 European Committee for Standardization (CEN)
                    5.11.3.4 European Technical Standards Institute (ETSI)
    5.12 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    TABLE 16 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%)
           5.12.2 BUYING CRITERIA
                    TABLE 17 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
 
6 DECISION INTELLIGENCE MARKET, BY COMPONENT (Page No. - 83)
    6.1 INTRODUCTION 
           6.1.1 COMPONENT: DECISION INTELLIGENCE MARKET DRIVERS
                    FIGURE 26 SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 18 DECISION INTELLIGENCE MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                    TABLE 19 DECISION INTELLIGENCE MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
    6.2 PLATFORMS 
           6.2.1 PLATFORMS TO HELP BOOST ORGANIZATIONAL PERFORMANCE AND ENHANCE EACH FUNCTION
                    TABLE 20 PLATFORMS: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 21 PLATFORMS: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.3 SOLUTIONS 
           6.3.1 DECISION INTELLIGENCE SOLUTIONS TO ENHANCE BUSINESS OPERATIONS AND OPERATIONAL EFFECTIVENESS
                    FIGURE 27 INTEGRATED SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 22 SOLUTIONS: DECISION INTELLIGENCE MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 23 SOLUTIONS: DECISION INTELLIGENCE MARKET, BY TYPE, 2022–2027 (USD MILLION)
                    6.3.1.1 Integrated
                               6.3.1.1.1 Machine learning algorithms to help businesses make better decisions using decision intelligence solutions
                               TABLE 24 INTEGRATED SOLUTIONS MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 25 INTEGRATED SOLUTIONS MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.1.2 Standalone
                               6.3.1.2.1 Self-service decision intelligence tools to drive adoption of standalone solutions
                               TABLE 26 STANDALONE SOLUTIONS MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 27 STANDALONE SOLUTIONS MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.4 SERVICES 
           6.4.1 GROWING PRODUCT ACCEPTANCE ESTIMATED TO DRIVE ADOPTION OF DECISION INTELLIGENCE SERVICES
                    FIGURE 28 DEPLOYMENT & INTEGRATION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 28 SERVICES: DECISION INTELLIGENCE MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 29 SERVICES: DECISION INTELLIGENCE MARKET, BY TYPE, 2022–2027 (USD MILLION)
                    TABLE 30 SERVICES: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 31 SERVICES: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.4.1.1 Consulting
                               6.4.1.1.1 Consulting services to enable companies lower risks and focus on business
                               TABLE 32 CONSULTING SERVICES MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 33 CONSULTING SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.4.1.2 Support & Maintenance
                               6.4.1.2.1 Demand for support & maintenance services to grow due to shifting economic situations
                               TABLE 34 SUPPORT & MAINTENANCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 35 SUPPORT & MAINTENANCE MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.4.1.3 Integration & deployment
                               6.4.1.3.1 Need to ensure minimum risks among companies to drive demand for integration & deployment services
                               TABLE 36 INTEGRATION & DEPLOYMENT MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 37 INTEGRATION & DEPLOYMENT MARKET, BY REGION, 2022–2027 (USD MILLION)
 
7 DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE (Page No. - 94)
    7.1 INTRODUCTION 
           7.1.1 DEPLOYMENT MODE: DECISION INTELLIGENCE MARKET DRIVERS
                    FIGURE 29 ON-PREMISES SEGMENT EXPECTED TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 38 DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2018–2021 (USD MILLION)
                    TABLE 39 DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
    7.2 ON-PREMISES 
           7.2.1 PROPER CONTROL AND REDUCED COMPLEXITIES OVER AI APPLICATIONS TO DRIVE GROWTH
                    TABLE 40 ON-PREMISES: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 41 ON-PREMISES: DECISION INTELLIGENCE MARKET, BY REGION,  2022–2027 (USD MILLION)
    7.3 CLOUD 
           7.3.1 ADOPTION OF DIGITAL SOLUTIONS FOR FLEXIBLE AND SCALED PRODUCTIVITY TO CONTRIBUTE TO MARKET GROWTH
                    TABLE 42 CLOUD: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 43 CLOUD: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
 
8 DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE (Page No. - 99)
    8.1 INTRODUCTION 
           8.1.1 ORGANIZATION SIZE: DECISION INTELLIGENCE MARKET DRIVERS
                    FIGURE 30 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT EXPECTED TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 44 DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                    TABLE 45 DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
    8.2 SMALL AND MEDIUM-SIZED ENTERPRISES 
           8.2.1 DECISION INTELLIGENCE TECHNOLOGY TO EXPEDITE BUSINESS OPERATIONS AND REDUCE OPERATIONAL COSTS
                    TABLE 46 SMES: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 47 SMES: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.3 LARGE ENTERPRISES 
           8.3.1 DECISION INTELLIGENCE PLATFORMS TO MEET REQUIREMENTS OF ENTERPRISES AND DIFFERENT INDUSTRIES
                    TABLE 48 LARGE ENTERPRISES: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 49 LARGE ENTERPRISES: DECISION INTELLIGENCE MARKET, BY REGION,  2022–2027 (USD MILLION)
 
9 DECISION INTELLIGENCE MARKET, BY VERTICAL (Page No. - 103)
    9.1 INTRODUCTION 
           9.1.1 VERTICAL: DECISION INTELLIGENCE MARKET DRIVERS
                    FIGURE 31 BFSI SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SIZE BY 2027
                    TABLE 50 DECISION INTELLIGENCE MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                    TABLE 51 DECISION INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
    9.2 BFSI 
           9.2.1 DI TO HELP GAIN COMPETITIVE EDGE BY MAKING BETTER DECISIONS IN LESS TIME
                    TABLE 52 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
                    TABLE 53 BFSI: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 54 BFSI: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
           9.2.2 ASSET AND INVESTMENT MANAGEMENT
           9.2.3 RETAIL BANKING - SALES AND MARKETING
           9.2.4 CUSTOMER SUPPORT
           9.2.5 CREDIT DECISIONS
           9.2.6 FRAUD DETECTION
           9.2.7 INSURANCE PRODUCT AND POLICY DESIGN
    9.3 TELECOM 
           9.3.1 DI TO INCREASE CUSTOMER LIFETIME VALUE BY TRACKING NETWORK RELIABILITY
                    TABLE 55 TELECOM: USE CASES
                    TABLE 56 TELECOM: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 57 TELECOM: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
           9.3.2 AGENT SUPPORT AND CUSTOMER SERVICES
           9.3.3 SALES AND PERSONALIZED USER EXPERIENCE
           9.3.4 NETWORK ANALYSIS AND PREDICTIVE MAINTENANCE
    9.4 HEALTHCARE & LIFE SCIENCES 
           9.4.1 DI SOLUTIONS TO PROVIDE BETTER HEALTHCARE SYSTEM WITH DATA PROBLEMS SOLVED
                    TABLE 58 HEALTHCARE & LIFE SCIENCES: USE CASES
                    TABLE 59 HEALTHCARE & LIFE SCIENCES: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 60 HEALTHCARE & LIFE SCIENCES: DECISION INTELLIGENCE MARKET,  BY REGION, 2022–2027 (USD MILLION)
           9.4.2 MEDICAL IMAGING AND DIAGNOSTICS
           9.4.3 EMERGENCY SUPPORT
           9.4.4 DRUG DISCOVERY AND CLINICAL RESEARCH
           9.4.5 TECHNICAL DIAGNOSIS AND SUPPORT
    9.5 RETAIL & E-COMMERCE 
           9.5.1 SOLVING REAL-TIME INVENTORY PROBLEMS AND PROVIDING PERSONALIZED EXPERIENCE TO CONSUMERS
                    TABLE 61 RETAIL & E-COMMERCE: USE CASES
                    TABLE 62 RETAIL & E-COMMERCE: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 63 RETAIL & E-COMMERCE: DECISION INTELLIGENCE MARKET, BY REGION,  2022–2027 (USD MILLION)
           9.5.2 PRODUCT RECOMMENDATIONS
           9.5.3 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
           9.5.4 VIRTUAL ASSISTANT
    9.6 IT & ITES 
           9.6.1 INNOVATIONS TO DRIVE NEED FOR DECISION INTELLIGENCE TO MANAGE IT OPERATIONS EFFECTIVELY
                    TABLE 64 IT & ITES: USE CASES
                    TABLE 65 IT & ITES: DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 66 IT & ITES: DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
           9.6.2 PREDICTIVE MAINTENANCE
           9.6.3 AGENT SUPPORT
    9.7 MANUFACTURING 
           9.7.1 DI TO TACKLE MANUFACTURING CHALLENGES WITH FASTER AND SMARTER DECISION-MAKING
                    TABLE 67 MANUFACTURING: USE CASES
                    TABLE 68 MANUFACTURING: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 69 MANUFACTURING: DECISION INTELLIGENCE MARKET,  BY REGION, 2022–2027 (USD MILLION)
           9.7.2 PREDICTIVE MAINTENANCE AND ASSET MANAGEMENT
           9.7.3 SUPPLY CHAIN AND INVENTORY MANAGEMENT
           9.7.4 QUALITY CONTROL
           9.7.5 GENERATIVE DESIGN
           9.7.6 CUSTOMER SUPPORT
    9.8 ENERGY & UTILITIES 
           9.8.1 DECISION INTELLIGENCE SOLUTIONS TO ENHANCE EFFICIENCY, REDUCE WASTE, AND MEET ENVIRONMENTAL GOALS
                    TABLE 70 ENERGY & UTILITIES: USE CASES
                    TABLE 71 ENERGY & UTILITIES: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 72 ENERGY & UTILITIES: DECISION INTELLIGENCE MARKET,  BY REGION, 2022–2027 (USD MILLION)
           9.8.2 ASSET AND PREDICTIVE MAINTENANCE
           9.8.3 RESEARCH AND DEVELOPMENT
           9.8.4 BUSINESS AND CUSTOMER SUPPORT
           9.8.5 ENERGY MONITORING
    9.9 GOVERNMENT & DEFENSE 
           9.9.1 DI TO ENABLE MAKING MORE INFORMED DECISIONS AND HAVE OPERATIONAL ADVANTAGE
                    TABLE 73 GOVERNMENT & DEFENSE: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 74 GOVERNMENT & DEFENSE: DECISION INTELLIGENCE MARKET,  BY REGION, 2022–2027 (USD MILLION)
           9.9.2 TARGET RECOGNITION
           9.9.3 COMMAND AND CONTROL SYSTEMS
           9.9.4 INTELLIGENCE AND SURVEILLANCE
    9.10 TRANSPORTATION & LOGISTICS 
           9.10.1 DI SERVICES TO OPTIMIZE BUSINESS PROCESSES AND MAINTAIN SUSTAINABILITY WITH IMPROVED DECISION-MAKING
                    TABLE 75 TRANSPORTATION & LOGISTICS: USE CASES
                    TABLE 76 TRANSPORTATION & LOGISTICS: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 77 TRANSPORTATION & LOGISTICS: DECISION INTELLIGENCE MARKET,  BY REGION, 2022–2027 (USD MILLION)
           9.10.2 TRAFFIC OPERATIONS MANAGEMENT
           9.10.3 CARGO TRANSPORTATION
           9.10.4 URBAN PLANNING AND MAPPING
           9.10.5 SMART TRANSPORTATION
    9.11 OTHER VERTICALS 
           9.11.1 DECISION INTELLIGENCE TO HELP IN EVOLVING SECTORS BY PROVIDING ROBUST ENVIRONMENT
                    TABLE 78 OTHER VERTICALS: DECISION INTELLIGENCE MARKET, BY REGION,  2018–2021 (USD MILLION)
                    TABLE 79 OTHER VERTICALS: DECISION INTELLIGENCE MARKET, BY REGION,  2022–2027 (USD MILLION)
 
10 DECISION INTELLIGENCE MARKET, BY REGION (Page No. - 131)
     10.1 INTRODUCTION 
             10.1.1 DECISION INTELLIGENCE MARKET: IMPACT OF RECESSION
                       FIGURE 32 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
                       FIGURE 33 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 80 DECISION INTELLIGENCE MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 81 DECISION INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: DECISION INTELLIGENCE MARKET DRIVERS
             10.2.2 NORTH AMERICA: REGULATIONS
                       10.2.2.1 Personal Information Protection and Electronic Documents Act
                       10.2.2.2 Gramm–Leach–Bliley Act
                       10.2.2.3 Federal Information Security Management Act
                       10.2.2.4 Health Insurance Portability and Accountability Act of 1996
                       10.2.2.5 Health Level Seven
                       10.2.2.6 Occupational Safety and Health Administration
                       10.2.2.7 California Consumer Privacy Act
                                   FIGURE 34 NORTH AMERICA: MARKET SNAPSHOT
                                   TABLE 82 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2018–2021 (USD MILLION)
                                   TABLE 83 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 84 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2018–2021 (USD MILLION)
                                   TABLE 85 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2022–2027 (USD MILLION)
                                   TABLE 86 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY SERVICE,  2018–2021 (USD MILLION)
                                   TABLE 87 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                                   TABLE 88 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2018–2021 (USD MILLION)
                                   TABLE 89 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                                   TABLE 90 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2018–2021 (USD MILLION)
                                   TABLE 91 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                                   TABLE 92 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2018–2021 (USD MILLION)
                                   TABLE 93 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                                   TABLE 94 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY,  2018–2021 (USD MILLION)
                                   TABLE 95 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             10.2.3 US
                       10.2.3.1 Rapid adoption of digitally innovative solutions and presence of tech giants to drive market
             10.2.4 CANADA
                       10.2.4.1 Startup ecosystem and transformation into data-driven organizations to drive growth of decision intelligence solutions
     10.3 EUROPE 
             10.3.1 EUROPE: DECISION INTELLIGENCE MARKET DRIVERS
             10.3.2 EUROPE: REGULATIONS
                       10.3.2.1 European Market Infrastructure Regulation
                       10.3.2.2 General Data Protection Regulation
                       10.3.2.3 European Committee for Standardization
                       10.3.2.4 European Technical Standards Institute
                                   TABLE 96 EUROPE: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2018–2021 (USD MILLION)
                                   TABLE 97 EUROPE: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 98 EUROPE: DECISION INTELLIGENCE MARKET, BY SOLUTION, 2018–2021 (USD MILLION)
                                   TABLE 99 EUROPE: DECISION INTELLIGENCE MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
                                   TABLE 100 EUROPE: DECISION INTELLIGENCE MARKET, BY SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 101 EUROPE: DECISION INTELLIGENCE MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 102 EUROPE: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2018–2021 (USD MILLION)
                                   TABLE 103 EUROPE: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                                   TABLE 104 EUROPE: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2018–2021 (USD MILLION)
                                   TABLE 105 EUROPE: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                                   TABLE 106 EUROPE: DECISION INTELLIGENCE MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 107 EUROPE: DECISION INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                                   TABLE 108 EUROPE: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
                                   TABLE 109 EUROPE: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             10.3.3 UK
                       10.3.3.1 Advanced IT infrastructure, technologies, and continued transition toward online services to drive market
             10.3.4 GERMANY
                       10.3.4.1 Government initiatives for technological developments in manufacturing vertical to drive decision intelligence solutions’ growth
             10.3.5 FRANCE
                       10.3.5.1 High potential client base through startups and heavy R&D activity from various investors to boost market growth
             10.3.6 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: DECISION INTELLIGENCE MARKET DRIVERS
             10.4.2 ASIA PACIFIC: REGULATIONS
                       10.4.2.1 Privacy Commissioner for Personal Data
                       10.4.2.2 Act on the Protection of Personal Information
                       10.4.2.3 Critical Information Infrastructure
                       10.4.2.4 International Organization for Standardization 27001
                       10.4.2.5 Personal Data Protection Act
                                   FIGURE 35 ASIA PACIFIC: MARKET SNAPSHOT
                                   TABLE 110 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2018–2021 (USD MILLION)
                                   TABLE 111 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 112 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2018–2021 (USD MILLION)
                                   TABLE 113 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2022–2027 (USD MILLION)
                                   TABLE 114 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY SERVICE,  2018–2021 (USD MILLION)
                                   TABLE 115 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                                   TABLE 116 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2018–2021 (USD MILLION)
                                   TABLE 117 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                                   TABLE 118 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2018–2021 (USD MILLION)
                                   TABLE 119 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                                   TABLE 120 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2018–2021 (USD MILLION)
                                   TABLE 121 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                                   TABLE 122 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY COUNTRY,  2018–2021 (USD MILLION)
                                   TABLE 123 ASIA PACIFIC: DECISION INTELLIGENCE MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             10.4.3 CHINA
                       10.4.3.1 Use of decision intelligence services for driving policy support and technological investments to fuel its adoption
             10.4.4 JAPAN
                       10.4.4.1 Rise of innovative technologies and collaboration between governments and businesses to boost market growth
             10.4.5 INDIA
                       10.4.5.1 Technological shift and high investments in decision intelligence to drive market
             10.4.6 REST OF ASIA PACIFIC
     10.5 MIDDLE EAST AND AFRICA 
             10.5.1 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET DRIVERS
             10.5.2 MIDDLE EAST AND AFRICA: REGULATIONS
                       10.5.2.1 Israeli Privacy Protection Regulations (Data Security),  5777-2017
                       10.5.2.2 Cloud Computing Framework
                       10.5.2.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA)
                       10.5.2.4 Protection of Personal Information Act
                                   TABLE 124 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2018–2021 (USD MILLION)
                                   TABLE 125 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 126 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2018–2021 (USD MILLION)
                                   TABLE 127 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2022–2027 (USD MILLION)
                                   TABLE 128 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY SERVICE,  2018–2021 (USD MILLION)
                                   TABLE 129 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                                   TABLE 130 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 131 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 132 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 133 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                                   TABLE 134 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2018–2021 (USD MILLION)
                                   TABLE 135 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                                   TABLE 136 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY SUBREGION,  2018–2021 (USD MILLION)
                                   TABLE 137 MIDDLE EAST AND AFRICA: DECISION INTELLIGENCE MARKET, BY SUBREGION,  2022–2027 (USD MILLION)
             10.5.3 MIDDLE EAST
                       10.5.3.1 Demand for growth of innovative technologies to drive market
             10.5.4 SOUTH AFRICA
                       10.5.4.1 Steps taken by government to educate and create awareness regarding advanced technologies to boost market growth
             10.5.5 REST OF MIDDLE EAST AND AFRICA
     10.6 LATIN AMERICA 
             10.6.1 LATIN AMERICA: DECISION INTELLIGENCE MARKET DRIVERS
             10.6.2 LATIN AMERICA: REGULATIONS
                       10.6.2.1 Brazil Data Protection Law
                                   TABLE 138 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2018–2021 (USD MILLION)
                                   TABLE 139 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 140 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2018–2021 (USD MILLION)
                                   TABLE 141 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY SOLUTION,  2022–2027 (USD MILLION)
                                   TABLE 142 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY SERVICE,  2018–2021 (USD MILLION)
                                   TABLE 143 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                                   TABLE 144 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2018–2021 (USD MILLION)
                                   TABLE 145 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                                   TABLE 146 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2018–2021 (USD MILLION)
                                   TABLE 147 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                                   TABLE 148 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2018–2021 (USD MILLION)
                                   TABLE 149 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                                   TABLE 150 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY,  2018–2021 (USD MILLION)
                                   TABLE 151 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             10.6.3 BRAZIL
                       10.6.3.1 Increased use of internet, technologies, and government organizations to increase demand for decision intelligence
             10.6.4 MEXICO
                       10.6.4.1 Increasing trade, rising customer base, and government initiatives to fuel growth of decision intelligence solutions
             10.6.5 REST OF LATIN AMERICA
 
11 COMPETITIVE LANDSCAPE (Page No. - 171)
     11.1 OVERVIEW 
     11.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 152 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN DECISION INTELLIGENCE MARKET
     11.3 REVENUE ANALYSIS 
               FIGURE 36 REVENUE ANALYSIS FOR KEY COMPANIES IN PAST FIVE YEARS
     11.4 MARKET SHARE ANALYSIS 
               FIGURE 37 DECISION INTELLIGENCE MARKET SHARE ANALYSIS FOR KEY PLAYERS IN 2022
               TABLE 153 DECISION INTELLIGENCE MARKET: DEGREE OF COMPETITION
     11.5 COMPANY EVALUATION QUADRANT 
             11.5.1 STARS
             11.5.2 EMERGING LEADERS
             11.5.3 PERVASIVE PLAYERS
             11.5.4 PARTICIPANTS
                       FIGURE 38 COMPANY EVALUATION MATRIX OF KEY DECISION INTELLIGENCE MARKET PLAYERS, 2022
     11.6 STARTUP/SME EVALUATION MATRIX 
             11.6.1 PROGRESSIVE COMPANIES
             11.6.2 RESPONSIVE COMPANIES
             11.6.3 DYNAMIC COMPANIES
             11.6.4 STARTING BLOCKS
                       FIGURE 39 STARTUPS/SMES: DECISION INTELLIGENCE MARKET EVALUATION MATRIX, 2022
     11.7 COMPETITIVE BENCHMARKING 
               TABLE 154 DECISION INTELLIGENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 155 DECISION INTELLIGENCE MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES)
     11.8 COMPETITIVE SCENARIO 
             11.8.1 PRODUCT LAUNCHES
                       TABLE 156 PRODUCT LAUNCHES, 2018–2022
             11.8.2 DEALS
                       TABLE 157 DEALS, 2018–2022
             11.8.3 OTHERS
                       TABLE 158 OTHERS, 2018–2022
 
12 COMPANY PROFILES (Page No. - 181)
     12.1 KEY PLAYERS 
(Business overview, Products/Solutions/Services offered, Recent developments, MnM View, Right to win, Strategic choices made, and Weaknesses and competitive threats)*
             12.1.1 ORACLE
                       TABLE 159 ORACLE: BUSINESS OVERVIEW
                       FIGURE 40 ORACLE: COMPANY SNAPSHOT
                       TABLE 160 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 161 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 162 ORACLE: DEALS
                       TABLE 163 ORACLE: OTHERS
             12.1.2 IBM
                       TABLE 164 IBM: BUSINESS OVERVIEW
                       FIGURE 41 IBM: COMPANY SNAPSHOT
                       TABLE 165 IBM: SOLUTIONS OFFERED
                       TABLE 166 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 167 IBM: DEALS
                       TABLE 168 IBM: OTHERS
             12.1.3 GOOGLE
                       TABLE 169 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 42 GOOGLE: COMPANY SNAPSHOT
                       TABLE 170 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 171 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 172 GOOGLE: DEALS
             12.1.4 INTEL
                       TABLE 173 INTEL: BUSINESS OVERVIEW
                       FIGURE 43 INTEL: COMPANY SNAPSHOT
                       TABLE 174 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 175 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 176 INTEL: DEALS
             12.1.5 MICROSOFT
                       TABLE 177 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 44 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 178 MICROSOFT: PRODUCTS OFFERED
                       TABLE 179 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 180 MICROSOFT: DEALS
                       TABLE 181 MICROSOFT: OTHERS
             12.1.6 DOMO
                       TABLE 182 DOMO: BUSINESS OVERVIEW
                       FIGURE 45 DOMO: COMPANY SNAPSHOT
                       TABLE 183 DOMO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 184 DOMO: PRODUCT LAUNCHES AND ENHANCEMENTS
             12.1.7 BOARD INTERNATIONAL
                       TABLE 185 BOARD INTERNATIONAL: BUSINESS OVERVIEW
                       TABLE 186 BOARD INTERNATIONAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 187 BOARD INTERNATIONAL: DEALS
             12.1.8 H2O.AI
                       TABLE 188 H2O.AI: BUSINESS OVERVIEW
                       TABLE 189 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 190 H2O.AI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 191 H2O.AI: DEALS
             12.1.9 PROVENIR
                       TABLE 192 PROVENIR: BUSINESS OVERVIEW
                       TABLE 193 PROVENIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 194 PROVENIR: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 195 PROVENIR: DEALS
                       TABLE 196 PROVENIR: OTHERS
             12.1.10 PYRAMID ANALYTICS
                       TABLE 197 PYRAMID ANALYTICS: BUSINESS OVERVIEW
                       TABLE 198 PYRAMID ANALYTICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 199 PYRAMID ANALYTICS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 200 PYRAMID ANALYTICS: DEALS
     12.2 STARTUPS/SMES 
             12.2.1 REMI.AI
             12.2.2 QUANTELLIA
             12.2.3 PEAK.AI
             12.2.4 DIWO
             12.2.5 CEREBRA
             12.2.6 CLARIFAI
             12.2.7 PACE REVENUE
             12.2.8 METAPHACTS
             12.2.9 PARETOS
             12.2.10 SYSTEMS TECHNOLOGY GROUP (STG)
             12.2.11 COURSE5I
             12.2.12 TELLIUS
*Details on Business overview, Products/Solutions/Services offered, Recent developments, MnM View,  Right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.
 
13 ADJACENT AND RELATED MARKETS (Page No. - 220)
     13.1 INTRODUCTION 
     13.2 ARTIFICIAL INTELLIGENCE MARKET—GLOBAL FORECAST TO 2027 
             13.2.1 MARKET DEFINITION
             13.2.2 MARKET OVERVIEW
             13.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
                       TABLE 201 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
                       TABLE 202 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
             13.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
                       TABLE 203 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                       TABLE 204 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
             13.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE
                       TABLE 205 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                       TABLE 206 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
             13.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
                       TABLE 207 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
                       TABLE 208 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
             13.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
                       TABLE 209 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
                       TABLE 210 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
             13.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL
                       TABLE 211 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 212 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
             13.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
                       TABLE 213 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 214 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)
     13.3 BUSINESS INTELLIGENCE MARKET - GLOBAL FORECAST TO 2025 
             13.3.1 MARKET DEFINITION
             13.3.2 MARKET OVERVIEW
             13.3.3 BUSINESS INTELLIGENCE MARKET, BY COMPONENT
                       TABLE 215 BUSINESS INTELLIGENCE MARKET, BY COMPONENT, 2016–2019 (USD MILLION)
                       TABLE 216 BUSINESS INTELLIGENCE MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
             13.3.4 BUSINESS INTELLIGENCE MARKET, BY SOLUTION
                       TABLE 217 BUSINESS INTELLIGENCE MARKET, BY SOLUTION, 2016–2019 (USD MILLION)
                       TABLE 218 BUSINESS INTELLIGENCE MARKET, BY SOLUTION, 2019–2025 (USD MILLION)
             13.3.5 BUSINESS INTELLIGENCE MARKET, BY SERVICE
                       TABLE 219 BUSINESS INTELLIGENCE MARKET, BY SERVICE, 2016–2019 (USD MILLION)
                       TABLE 220 BUSINESS INTELLIGENCE MARKET, BY SERVICE, 2019–2025 (USD MILLION)
             13.3.6 BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE
                       TABLE 221 BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2016–2019 (USD MILLION)
                       TABLE 222 BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE,  2019–2025 (USD MILLION)
             13.3.7 BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE
                       TABLE 223 BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016–2019 (USD MILLION)
                       TABLE 224 BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE,  2019–2025 (USD MILLION)
             13.3.8 BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION
                       TABLE 225 BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION,  2016–2019 (USD MILLION)
                       TABLE 226 BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2025 (USD MILLION)
             13.3.9 BUSINESS INTELLIGENCE MARKET, BY INDUSTRY VERTICAL
                       TABLE 227 BUSINESS INTELLIGENCE MARKET, BY INDUSTRY VERTICAL,  2016–2019 (USD MILLION)
                       TABLE 228 BUSINESS INTELLIGENCE MARKET, BY INDUSTRY VERTICAL, 2019–2025 (USD MILLION)
             13.3.10 BUSINESS INTELLIGENCE MARKET, BY REGION
                       TABLE 229 BUSINESS INTELLIGENCE MARKET, BY REGION, 2016–2019 (USD MILLION)
                       TABLE 230 BUSINESS INTELLIGENCE MARKET, BY REGION, 2019–2025 (USD MILLION)
 
14 APPENDIX (Page No. - 235)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

This comprehensive research study on the decision intelligence market involved the use of extensive secondary sources, directories, and several magazines and journals to identify and collect relevant information; these included Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities, Intelligent Decision Technologies - An International Journal. Other publications referred to include: The ultimate decision intelligence guide, and Decision Analytics Journal, Primary sources included industry experts from the core and related industries, preferred decision intelligence providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering decision intelligence solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as Omni-channel management in the new retailing era: A systematic review and future research agenda Journals and magazines, and Journal/Forums for Machine Learning (ML), AI India magazine, Customer Experience magazine, and other magazines. The decision intelligence spending of various countries was extracted from respective sources. Secondary research was mainly used to obtain key information about the industry’s value chain and supply chain to identify key players based on solutions; services; market classification, and segmentation according to offerings of major players; industry trends related to solutions, services, deployment modes, applications, verticals, and regions; and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, product development/innovation teams; related key executives from decision intelligence solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using decision intelligence solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of decision intelligence solutions and services, which would impact the overall decision intelligence.

The following is the breakup of primary profiles:

Decision Intelligence Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches were used to estimate and validate the size of the global decision intelligence market and various other dependent subsegments. In the top-down approach, an exhaustive list of all the vendors offering tools and services in the decision intelligence was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on breadth of solutions and services, deployment modes, applications, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.  In the bottom-up approach, the adoption rate of decision intelligence solutions among different end users in key countries with respect to their regions that contribute the most to the market share was identified. For cross-validation, the adoption of decision intelligence solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on decision intelligence solutions based on some of the key use cases. These factors for the decision intelligence tool industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and predict the decision intelligence by component (software and services), application, deployment mode, organization size, vertical, and region.
  • To provide detailed information about major factors (drivers, restraints, opportunities, and challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders.
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the decision intelligence

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American decision intelligence market
  • Further breakup of the European decision intelligence market
  • Further breakup of the Asia Pacific decision intelligence market
  • Further breakup of the Latin American decision intelligence market
  • Further breakup of the Middle East & Africa decision intelligence market

Company Information

  • Detailed analysis and profiling of additional market players up to 5
Report Code
TC 8547
Published ON
Jan, 2023
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