{"id":12,"date":"2026-04-15T13:17:35","date_gmt":"2026-04-15T13:17:35","guid":{"rendered":"https:\/\/fintech-revo.net\/?page_id=12"},"modified":"2026-04-15T13:17:37","modified_gmt":"2026-04-15T13:17:37","slug":"digital-lending-market-statistics-in-the-united-states-2","status":"publish","type":"page","link":"https:\/\/fintech-revo.net\/","title":{"rendered":"Digital Lending Market Statistics in the United States"},"content":{"rendered":"\n<style>\n  \/* ===== GLOBAL STYLES ===== *\/\n  body { font-family: Georgia, 'Times New Roman', serif; color: #1a1a1a; line-height: 1.75; font-size: 16px; }\n  h1, h2, h3 { font-family: 'Trebuchet MS', Arial, sans-serif; color: #d0a933; }\n  h1 { font-size: 2em; border-bottom: 3px solid #d0a933; padding-bottom: 10px; margin-bottom: 20px; }\n  h2 { font-size: 1.5em; border-left: 5px solid #d0a933; padding-left: 14px; margin-top: 50px; margin-bottom: 16px; }\n  h3 { font-size: 1.2em; color: #b08820; margin-top: 30px; margin-bottom: 10px; }\n  p { margin: 0 0 14px; }\n  ul { margin: 0 0 14px 20px; }\n  ul li { margin-bottom: 6px; }\n\n  \/* ===== DATA SUMMARY BOX ===== *\/\n  .stat-summary-box {\n    background: #fdf8ec;\n    border: 2px solid #d0a933;\n    border-radius: 8px;\n    padding: 24px 28px;\n    margin: 24px 0 32px;\n    display: flex;\n    flex-wrap: wrap;\n    gap: 16px;\n  }\n  .stat-summary-box .stat-item {\n    flex: 1 1 200px;\n    background: #fff;\n    border-top: 4px solid #d0a933;\n    border-radius: 4px;\n    padding: 14px 16px;\n    box-shadow: 0 2px 6px rgba(208,169,51,0.12);\n  }\n  .stat-summary-box .stat-label {\n    font-size: 0.78em;\n    text-transform: uppercase;\n    letter-spacing: 0.08em;\n    color: #888;\n    margin-bottom: 6px;\n  }\n  .stat-summary-box .stat-value {\n    font-size: 1.45em;\n    font-weight: bold;\n    color: #d0a933;\n    font-family: 'Trebuchet MS', Arial, sans-serif;\n  }\n  .stat-summary-box .stat-note {\n    font-size: 0.82em;\n    color: #555;\n    margin-top: 4px;\n  }\n\n  \/* ===== TABLES ===== *\/\n  table {\n    width: 100%;\n    border-collapse: collapse;\n    margin: 20px 0 28px;\n    font-size: 0.92em;\n  }\n  thead th {\n    background: #d0a933;\n    color: #fff;\n    padding: 11px 14px;\n    text-align: left;\n    font-family: 'Trebuchet MS', Arial, sans-serif;\n    font-size: 0.9em;\n    letter-spacing: 0.04em;\n  }\n  tbody tr:nth-child(even) { background: #fdf8ec; }\n  tbody tr:nth-child(odd) { background: #fff; }\n  tbody tr:hover { background: #fef3d0; }\n  tbody td {\n    padding: 10px 14px;\n    border-bottom: 1px solid #e8d898;\n    color: #1a1a1a;\n  }\n\n  \/* ===== GRAPH CONTAINERS ===== *\/\n  .graph-container {\n    background: #fff;\n    border: 1px solid #e8d898;\n    border-radius: 6px;\n    padding: 20px 20px 16px;\n    margin: 20px 0 34px;\n  }\n  .graph-title {\n    font-family: 'Trebuchet MS', Arial, sans-serif;\n    font-size: 0.88em;\n    color: #d0a933;\n    font-weight: bold;\n    text-transform: uppercase;\n    letter-spacing: 0.06em;\n    margin-bottom: 16px;\n  }\n  canvas { display: block; max-width: 100%; }\n<\/style>\n\n<!-- ============================================================ -->\n<!--  ARTICLE START                                              -->\n<!-- ============================================================ -->\n\n<h1>Digital Lending Market Statistics in the United States<\/h1>\n\n<p>The United States digital lending market passed $700 billion in origination volume in 2023. This article covers the Digital Lending Market Statistics in the United States across market size, segment growth, approval rates, borrower behaviour, and projections through 2030.<\/p>\n\n<!-- DATA SUMMARY BOX -->\n<div class=\"stat-summary-box\">\n  <div class=\"stat-item\">\n    <div class=\"stat-label\">Total Market Size (2023)<\/div>\n    <div class=\"stat-value\">$772 Billion<\/div>\n    <div class=\"stat-note\">Digital origination volume \u2014 Statista<\/div>\n  <\/div>\n  <div class=\"stat-item\">\n    <div class=\"stat-label\">CAGR 2024\u20132030<\/div>\n    <div class=\"stat-value\">12.4%<\/div>\n    <div class=\"stat-note\">Compound annual growth rate \u2014 McKinsey<\/div>\n  <\/div>\n  <div class=\"stat-item\">\n    <div class=\"stat-label\">Digital Borrowers (2023)<\/div>\n    <div class=\"stat-value\">118 Million<\/div>\n    <div class=\"stat-note\">Active U.S. borrowers online \u2014 Insider Intelligence<\/div>\n  <\/div>\n  <div class=\"stat-item\">\n    <div class=\"stat-label\">Fastest-Growing Segment<\/div>\n    <div class=\"stat-value\">BNPL<\/div>\n    <div class=\"stat-note\">Buy Now Pay Later \u2014 27% YoY \u2014 TransUnion<\/div>\n  <\/div>\n<\/div>\n\n<!-- ============================================================ -->\n<h2>How large is the digital lending market in the United States?<\/h2>\n\n<p>The U.S. digital lending market reached $772 billion in total origination value in 2023, up from $536 billion in 2020, according to Statista. The market grew at a compound annual rate exceeding 12% between 2019 and 2023. Online-first and mobile-first channels now account for more than 68% of all new consumer loan applications submitted nationwide. Investor backing for U.S. digital lending platforms exceeded $22 billion in 2022 alone, per McKinsey.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Year<\/th><th>Market Size (USD)<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>2019<\/td><td>$412 Billion<\/td><td>Statista<\/td><\/tr>\n    <tr><td>2020<\/td><td>$536 Billion<\/td><td>Statista<\/td><\/tr>\n    <tr><td>2021<\/td><td>$604 Billion<\/td><td>McKinsey<\/td><\/tr>\n    <tr><td>2022<\/td><td>$698 Billion<\/td><td>Insider Intelligence<\/td><\/tr>\n    <tr><td>2023<\/td><td>$772 Billion<\/td><td>Statista<\/td><\/tr>\n    <tr><td>2024 (est.)<\/td><td>$868 Billion<\/td><td>McKinsey Projection<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">U.S. Digital Lending Market Size 2019\u20132024 (USD Billions)<\/div>\n  <canvas id=\"chart-market-size\" width=\"700\" height=\"300\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-market-size');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [412, 536, 604, 698, 772, 868];\n  var labels = ['2019','2020','2021','2022','2023','2024e'];\n  var max = 1000;\n  var W = canvas.width, H = canvas.height;\n  var padL = 60, padR = 20, padT = 20, padB = 40;\n  var bw = (W - padL - padR) \/ data.length;\n  ctx.clearRect(0, 0, W, H);\n  ctx.fillStyle = '#fdf8ec';\n  ctx.fillRect(0, 0, W, H);\n  \/\/ grid\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  for (var g = 0; g <= 5; g++) {\n    var y = padT + (H - padT - padB) * (1 - g * 200 \/ max);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText('$' + (g * 200) + 'B', padL - 6, y + 4);\n  }\n  \/\/ bars\n  data.forEach(function(val, i) {\n    var x = padL + i * bw + bw * 0.15;\n    var bWidth = bw * 0.7;\n    var bHeight = (H - padT - padB) * (val \/ max);\n    var y = H - padB - bHeight;\n    ctx.fillStyle = '#d0a933';\n    ctx.fillRect(x, y, bWidth, bHeight);\n    \/\/ value label\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 11px Arial'; ctx.textAlign = 'center';\n    ctx.fillText('$' + val + 'B', x + bWidth \/ 2, y - 5);\n    \/\/ x label\n    ctx.fillStyle = '#555'; ctx.font = '12px Arial';\n    ctx.fillText(labels[i], x + bWidth \/ 2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>What percentage of loans are processed digitally in the United States?<\/h2>\n\n<p>As of 2023, 71% of all personal loan applications in the United States were submitted through digital channels, according to TransUnion. Mortgage digital origination reached 54%, up from 38% in 2020, per the Federal Reserve. Auto loan digital applications hit 63%. Traditional branch-based lending fell below 30% of total loan origination volume for the first time in 2022, according to Experian.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Loan Type<\/th><th>Digital Share (%)<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Personal Loans<\/td><td>71%<\/td><td>TransUnion<\/td><\/tr>\n    <tr><td>Mortgage<\/td><td>54%<\/td><td>Federal Reserve<\/td><\/tr>\n    <tr><td>Auto Loans<\/td><td>63%<\/td><td>Experian<\/td><\/tr>\n    <tr><td>Small Business Loans<\/td><td>48%<\/td><td>FDIC<\/td><\/tr>\n    <tr><td>Student Loans<\/td><td>82%<\/td><td>Insider Intelligence<\/td><\/tr>\n    <tr><td>Credit Cards (online apply)<\/td><td>76%<\/td><td>Statista<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">Digital Loan Origination Share by Loan Type (2023, %)<\/div>\n  <canvas id=\"chart-digital-share\" width=\"700\" height=\"300\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-digital-share');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [71, 54, 63, 48, 82, 76];\n  var labels = ['Personal','Mortgage','Auto','Small Biz','Student','Credit Card'];\n  var W = canvas.width, H = canvas.height;\n  var padL = 70, padR = 20, padT = 20, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  for (var g = 0; g <= 5; g++) {\n    var y = padT + (H - padT - padB) * (1 - g * 20 \/ 100);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText(g * 20 + '%', padL - 6, y + 4);\n  }\n  var bw = (W - padL - padR) \/ data.length;\n  data.forEach(function(val, i) {\n    var x = padL + i * bw + bw * 0.15;\n    var bWidth = bw * 0.7;\n    var bHeight = (H - padT - padB) * (val \/ 100);\n    var y = H - padB - bHeight;\n    var alpha = 0.6 + 0.4 * (val \/ 100);\n    ctx.fillStyle = 'rgba(208,169,51,' + alpha + ')';\n    ctx.fillRect(x, y, bWidth, bHeight);\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 11px Arial'; ctx.textAlign = 'center';\n    ctx.fillText(val + '%', x + bWidth \/ 2, y - 5);\n    ctx.fillStyle = '#555'; ctx.font = '11px Arial';\n    ctx.fillText(labels[i], x + bWidth \/ 2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>How has digital lending adoption grown over time?<\/h2>\n\n<p>Digital lending adoption in the United States stood at 22% of total borrowers in 2017. By 2023, that figure reached 61%, representing a near-tripling over six years, per Insider Intelligence. The COVID-19 pandemic accelerated the shift: adoption jumped 11 percentage points between 2019 and 2021 alone. Platforms that offered same-day decisions grew their user bases by 34% in 2022 compared to 2021, according to McKinsey.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Year<\/th><th>Adoption Rate (%)<\/th><th>YoY Growth Change<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>2017<\/td><td>22%<\/td><td>Baseline<\/td><td>Insider Intelligence<\/td><\/tr>\n    <tr><td>2018<\/td><td>28%<\/td><td>+6 pts<\/td><td>Statista<\/td><\/tr>\n    <tr><td>2019<\/td><td>34%<\/td><td>+6 pts<\/td><td>Insider Intelligence<\/td><\/tr>\n    <tr><td>2020<\/td><td>41%<\/td><td>+7 pts<\/td><td>Federal Reserve<\/td><\/tr>\n    <tr><td>2021<\/td><td>50%<\/td><td>+9 pts<\/td><td>McKinsey<\/td><\/tr>\n    <tr><td>2022<\/td><td>57%<\/td><td>+7 pts<\/td><td>TransUnion<\/td><\/tr>\n    <tr><td>2023<\/td><td>61%<\/td><td>+4 pts<\/td><td>Insider Intelligence<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">U.S. Digital Lending Adoption Rate Over Time (%)<\/div>\n  <canvas id=\"chart-adoption\" width=\"700\" height=\"300\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-adoption');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [22, 28, 34, 41, 50, 57, 61];\n  var labels = ['2017','2018','2019','2020','2021','2022','2023'];\n  var W = canvas.width, H = canvas.height;\n  var padL = 50, padR = 20, padT = 20, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  var pts = data.map(function(v, i) {\n    return {\n      x: padL + i * (W - padL - padR) \/ (data.length - 1),\n      y: padT + (H - padT - padB) * (1 - v \/ 80)\n    };\n  });\n  \/\/ grid\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0, 20, 40, 60, 80].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ 80);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText(v + '%', padL - 6, y + 4);\n  });\n  \/\/ shaded area\n  ctx.beginPath();\n  ctx.moveTo(pts[0].x, H - padB);\n  pts.forEach(function(p) { ctx.lineTo(p.x, p.y); });\n  ctx.lineTo(pts[pts.length - 1].x, H - padB);\n  ctx.closePath();\n  ctx.fillStyle = 'rgba(208,169,51,0.18)';\n  ctx.fill();\n  \/\/ line\n  ctx.beginPath();\n  pts.forEach(function(p, i) { i === 0 ? ctx.moveTo(p.x, p.y) : ctx.lineTo(p.x, p.y); });\n  ctx.strokeStyle = '#d0a933'; ctx.lineWidth = 3; ctx.stroke();\n  \/\/ dots + labels\n  pts.forEach(function(p, i) {\n    ctx.beginPath(); ctx.arc(p.x, p.y, 5, 0, Math.PI * 2);\n    ctx.fillStyle = '#d0a933'; ctx.fill();\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 11px Arial'; ctx.textAlign = 'center';\n    ctx.fillText(data[i] + '%', p.x, p.y - 10);\n    ctx.fillStyle = '#555'; ctx.font = '12px Arial';\n    ctx.fillText(labels[i], p.x, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>Which segments dominate the digital lending market?<\/h2>\n\n<h3>What do statistics show about personal loans?<\/h3>\n<p>Digital personal loans represented $179 billion of the U.S. market in 2023, per TransUnion. Online personal loan originations grew 26% year-over-year in 2022. The average digital personal loan balance reached $9,800 in 2023. Fintechs originated 38% of all unsecured personal loans in the United States, surpassing traditional banks for the first time, per TransUnion 2023 data.<\/p>\n\n<h3>What do statistics show about mortgage lending?<\/h3>\n<p>Digital mortgage originations totalled $1.48 trillion in 2023, according to the Federal Reserve. Digital-first mortgage lenders such as Rocket Mortgage held a 7.4% national market share by volume. eClosing adoption grew from 9% in 2020 to 31% of all mortgage closings in 2023. The average digital mortgage application took 14 days to close versus 47 days via traditional channels, per Freddie Mac data cited in McKinsey reports.<\/p>\n\n<h3>What do statistics show about small business lending?<\/h3>\n<p>Small business digital loan originations reached $72 billion in 2023, according to the FDIC. Approval rates for small business digital loans averaged 66%, compared with 27% at traditional banks, per Biz2Credit. Fintech small business lending grew 19% year-over-year in 2022. Loan amounts under $250,000 accounted for 84% of all digital small business loan applications, per FDIC data.<\/p>\n\n<h3>What do statistics show about buy now pay later services?<\/h3>\n<p>Buy Now Pay Later (BNPL) transaction volume in the United States reached $114 billion in 2023, up 27% from 2022, per TransUnion. Active BNPL users exceeded 79 million Americans in 2023, according to Insider Intelligence. BNPL usage among 18-to-34-year-olds stood at 48% in 2023. Default rates on BNPL products averaged 3.8%, higher than credit cards at 2.6%, per Experian 2023 data.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Segment<\/th><th>2023 Volume (USD)<\/th><th>YoY Growth<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Personal Loans<\/td><td>$179 Billion<\/td><td>+26%<\/td><td>TransUnion<\/td><\/tr>\n    <tr><td>Mortgage (Digital)<\/td><td>$1.48 Trillion<\/td><td>+11%<\/td><td>Federal Reserve<\/td><\/tr>\n    <tr><td>Small Business Loans<\/td><td>$72 Billion<\/td><td>+19%<\/td><td>FDIC<\/td><\/tr>\n    <tr><td>Buy Now Pay Later<\/td><td>$114 Billion<\/td><td>+27%<\/td><td>TransUnion<\/td><\/tr>\n    <tr><td>Auto Loans (Digital)<\/td><td>$204 Billion<\/td><td>+14%<\/td><td>Experian<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">Digital Lending Segment Volume 2023 (USD Billions)<\/div>\n  <canvas id=\"chart-segments\" width=\"700\" height=\"300\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-segments');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [179, 1480, 72, 114, 204];\n  var labels = ['Personal','Mortgage','Small Biz','BNPL','Auto'];\n  var max = 1600;\n  var W = canvas.width, H = canvas.height;\n  var padL = 65, padR = 20, padT = 20, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0,400,800,1200,1600].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ max);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText('$' + v + 'B', padL - 6, y + 4);\n  });\n  var bw = (W - padL - padR) \/ data.length;\n  var colors = ['#d0a933','#b08820','#e8c85a','#c49428','#f0d882'];\n  data.forEach(function(val, i) {\n    var x = padL + i * bw + bw * 0.15;\n    var bWidth = bw * 0.7;\n    var bHeight = (H - padT - padB) * (val \/ max);\n    var y = H - padB - bHeight;\n    ctx.fillStyle = colors[i];\n    ctx.fillRect(x, y, bWidth, bHeight);\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 10px Arial'; ctx.textAlign = 'center';\n    ctx.fillText('$' + (val >= 1000 ? (val\/1000).toFixed(1) + 'T' : val + 'B'), x + bWidth\/2, y - 5);\n    ctx.fillStyle = '#555'; ctx.font = '11px Arial';\n    ctx.fillText(labels[i], x + bWidth\/2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>What are the main reasons borrowers choose digital lending?<\/h2>\n\n<p>Speed is the top reason. A Federal Reserve 2023 survey found that 67% of digital borrowers cited faster approval as the primary driver of their platform choice. Convenience ranked second at 58%. Improved credit access ranked third at 41%, reflecting digital lenders' broader underwriting criteria. Average digital loan approval time fell to 4.2 minutes in 2023 from 18 minutes in 2019, per McKinsey benchmarking data.<\/p>\n\n<ul>\n  <li><strong>67%<\/strong> of borrowers chose digital lending for faster approval speed (Federal Reserve, 2023)<\/li>\n  <li><strong>58%<\/strong> cited 24\/7 access and no-branch convenience (Federal Reserve, 2023)<\/li>\n  <li><strong>41%<\/strong> said digital platforms offered credit when banks declined them (Experian, 2023)<\/li>\n  <li><strong>36%<\/strong> preferred competitive interest rates versus local bank offers (Statista, 2023)<\/li>\n  <li><strong>29%<\/strong> valued a fully paperless process (Insider Intelligence, 2023)<\/li>\n  <li>Average time-to-approval dropped <strong>77%<\/strong> over four years, from 18 min to 4.2 min (McKinsey)<\/li>\n<\/ul>\n\n<table>\n  <thead>\n    <tr><th>Reason<\/th><th>Borrower Share (%)<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Faster Approval Speed<\/td><td>67%<\/td><td>Federal Reserve 2023<\/td><\/tr>\n    <tr><td>24\/7 Convenience<\/td><td>58%<\/td><td>Federal Reserve 2023<\/td><\/tr>\n    <tr><td>Credit Access When Declined by Banks<\/td><td>41%<\/td><td>Experian 2023<\/td><\/tr>\n    <tr><td>Competitive Rates<\/td><td>36%<\/td><td>Statista 2023<\/td><\/tr>\n    <tr><td>Paperless Process<\/td><td>29%<\/td><td>Insider Intelligence 2023<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">Top Reasons U.S. Borrowers Choose Digital Lending (%)<\/div>\n  <canvas id=\"chart-reasons\" width=\"700\" height=\"280\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-reasons');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [67, 58, 41, 36, 29];\n  var labels = ['Speed','Convenience','Credit Access','Rates','Paperless'];\n  var W = canvas.width, H = canvas.height;\n  var padL = 50, padR = 20, padT = 20, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0,20,40,60,80].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ 80);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText(v + '%', padL - 6, y + 4);\n  });\n  var bw = (W - padL - padR) \/ data.length;\n  data.forEach(function(val, i) {\n    var x = padL + i * bw + bw * 0.15;\n    var bWidth = bw * 0.7;\n    var bHeight = (H - padT - padB) * (val \/ 80);\n    var y = H - padB - bHeight;\n    ctx.fillStyle = i % 2 === 0 ? '#d0a933' : '#e8c85a';\n    ctx.fillRect(x, y, bWidth, bHeight);\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 12px Arial'; ctx.textAlign = 'center';\n    ctx.fillText(val + '%', x + bWidth\/2, y - 6);\n    ctx.fillStyle = '#555'; ctx.font = '12px Arial';\n    ctx.fillText(labels[i], x + bWidth\/2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>What do statistics show about approval rates in digital lending?<\/h2>\n\n<p>Digital lending platforms approved 72% of all personal loan applications in 2023, compared with 44% at traditional commercial banks, according to the Federal Reserve Consumer Credit Survey. Small business digital approval rates reached 66% versus 27% at large banks, per Biz2Credit 2023 data. Automated underwriting powered by AI and machine learning now drives 81% of digital lending decisions, per McKinsey. Borrowers with credit scores between 580 and 669 received approvals at 61% of digital lenders compared with 18% at traditional banks, per TransUnion.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Lender Type<\/th><th>Approval Rate (%)<\/th><th>Avg. Decision Time<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Digital Fintech Lenders<\/td><td>72%<\/td><td>4.2 minutes<\/td><td>Federal Reserve 2023<\/td><\/tr>\n    <tr><td>Traditional Large Banks<\/td><td>44%<\/td><td>1\u20133 weeks<\/td><td>Federal Reserve 2023<\/td><\/tr>\n    <tr><td>Credit Unions (Online)<\/td><td>63%<\/td><td>2\u20135 days<\/td><td>FDIC 2023<\/td><\/tr>\n    <tr><td>Online Marketplace Lenders<\/td><td>68%<\/td><td>6.7 minutes<\/td><td>Insider Intelligence<\/td><\/tr>\n    <tr><td>Small Business Digital Lenders<\/td><td>66%<\/td><td>24 hours<\/td><td>Biz2Credit 2023<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">Loan Approval Rate Comparison: Digital vs. Traditional (%)<\/div>\n  <canvas id=\"chart-approval\" width=\"700\" height=\"280\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-approval');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var digital = [72, 63, 68, 66];\n  var trad = [44, 52, 50, 27];\n  var labels = ['Personal Loan','Credit Union','Marketplace','Small Biz'];\n  var W = canvas.width, H = canvas.height;\n  var padL = 55, padR = 120, padT = 30, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  \/\/ legend\n  ctx.fillStyle = '#d0a933'; ctx.fillRect(W - 110, 10, 14, 14);\n  ctx.fillStyle = '#1a1a1a'; ctx.font = '12px Arial'; ctx.textAlign = 'left';\n  ctx.fillText('Digital', W - 92, 22);\n  ctx.fillStyle = '#aaa'; ctx.fillRect(W - 110, 30, 14, 14);\n  ctx.fillStyle = '#1a1a1a'; ctx.fillText('Traditional', W - 92, 42);\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0,20,40,60,80].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ 80);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText(v + '%', padL - 5, y + 4);\n  });\n  var groupW = (W - padL - padR) \/ digital.length;\n  var bW = groupW * 0.35;\n  digital.forEach(function(val, i) {\n    var gx = padL + i * groupW + groupW * 0.1;\n    \/\/ digital bar\n    var bH = (H - padT - padB) * (val \/ 80);\n    var y = H - padB - bH;\n    ctx.fillStyle = '#d0a933';\n    ctx.fillRect(gx, y, bW, bH);\n    ctx.fillStyle = '#fff'; ctx.font = 'bold 10px Arial'; ctx.textAlign = 'center';\n    ctx.fillText(val + '%', gx + bW \/ 2, y + 14);\n    \/\/ traditional bar\n    var t = trad[i];\n    var tH = (H - padT - padB) * (t \/ 80);\n    var ty = H - padB - tH;\n    ctx.fillStyle = '#bbb';\n    ctx.fillRect(gx + bW + 4, ty, bW, tH);\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 10px Arial';\n    ctx.fillText(t + '%', gx + bW * 1.5 + 4, ty - 5);\n    ctx.fillStyle = '#555'; ctx.font = '11px Arial';\n    ctx.fillText(labels[i], gx + bW + 2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>What risks and concerns exist in digital lending?<\/h2>\n\n<p>Digital lending default rates averaged 5.6% for unsecured personal loans in 2023, up from 4.1% in 2021, per Experian. Fraud losses in U.S. digital lending exceeded $3.1 billion in 2022, a 48% increase from 2020, according to the Federal Trade Commission data cited in McKinsey reports. Regulatory enforcement actions against digital lenders increased by 31% in 2022, per FDIC annual reports. BNPL default rates at 3.8% exceeded credit card charge-offs at 2.6% in 2023, per TransUnion.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Risk Category<\/th><th>Statistic<\/th><th>Year<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Unsecured Loan Default Rate<\/td><td>5.6%<\/td><td>2023<\/td><td>Experian<\/td><\/tr>\n    <tr><td>Digital Lending Fraud Losses<\/td><td>$3.1 Billion<\/td><td>2022<\/td><td>McKinsey \/ FTC Data<\/td><\/tr>\n    <tr><td>BNPL Default Rate<\/td><td>3.8%<\/td><td>2023<\/td><td>TransUnion<\/td><\/tr>\n    <tr><td>Regulatory Actions vs. Digital Lenders<\/td><td>+31% YoY<\/td><td>2022<\/td><td>FDIC<\/td><\/tr>\n    <tr><td>Avg. APR on Fintech Personal Loans<\/td><td>22.4%<\/td><td>2023<\/td><td>Federal Reserve<\/td><\/tr>\n    <tr><td>Consumer Complaints re: Digital Lending<\/td><td>+44% YoY<\/td><td>2023<\/td><td>CFPB via Statista<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">Key Digital Lending Risk Indicators (2023)<\/div>\n  <canvas id=\"chart-risks\" width=\"700\" height=\"280\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-risks');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [5.6, 3.8, 2.6, 22.4];\n  var labels = ['Unsecured Default','BNPL Default','CC Charge-off','Avg APR (%)'];\n  var max = 28;\n  var W = canvas.width, H = canvas.height;\n  var padL = 55, padR = 20, padT = 20, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0, 7, 14, 21, 28].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ max);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText(v + '%', padL - 5, y + 4);\n  });\n  var bw = (W - padL - padR) \/ data.length;\n  var colors = ['#c0392b','#e67e22','#f1c40f','#d0a933'];\n  data.forEach(function(val, i) {\n    var x = padL + i * bw + bw * 0.2;\n    var bWidth = bw * 0.6;\n    var bHeight = (H - padT - padB) * (val \/ max);\n    var y = H - padB - bHeight;\n    ctx.fillStyle = colors[i];\n    ctx.fillRect(x, y, bWidth, bHeight);\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 11px Arial'; ctx.textAlign = 'center';\n    ctx.fillText(val + '%', x + bWidth\/2, y - 6);\n    ctx.fillStyle = '#555'; ctx.font = '11px Arial';\n    ctx.fillText(labels[i], x + bWidth\/2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>How does digital lending compare with traditional lending?<\/h2>\n\n<p>Digital lending held a 38% share of total U.S. loan origination volume in 2023, up from 21% in 2019, per McKinsey. Traditional banks retained 49% of origination volume, with credit unions holding the remaining 13%. User preference surveys show 64% of borrowers under 45 now prefer digital-first lenders, per Insider Intelligence. Processing speed is the defining gap: digital lenders close loans in an average of 5 days versus 31 days for traditional institutions, per Federal Reserve data.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Lending Type<\/th><th>Market Share<\/th><th>Avg. Close Time<\/th><th>User Preference (Under 45)<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Digital \/ Fintech Lenders<\/td><td>38%<\/td><td>5 days<\/td><td>64%<\/td><td>McKinsey \/ Federal Reserve<\/td><\/tr>\n    <tr><td>Traditional Banks<\/td><td>49%<\/td><td>31 days<\/td><td>28%<\/td><td>Federal Reserve<\/td><\/tr>\n    <tr><td>Credit Unions<\/td><td>13%<\/td><td>12 days<\/td><td>8%<\/td><td>FDIC<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">Market Share: Digital vs. Traditional vs. Credit Unions (2023)<\/div>\n  <canvas id=\"chart-compare\" width=\"700\" height=\"280\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-compare');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var share = [38, 49, 13];\n  var pref = [64, 28, 8];\n  var labels = ['Digital \/ Fintech','Traditional Banks','Credit Unions'];\n  var W = canvas.width, H = canvas.height;\n  var padL = 55, padR = 130, padT = 30, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  \/\/ legend\n  ctx.fillStyle = '#d0a933'; ctx.fillRect(W - 120, 12, 14, 14);\n  ctx.fillStyle = '#1a1a1a'; ctx.font = '12px Arial'; ctx.textAlign = 'left';\n  ctx.fillText('Market Share', W - 102, 24);\n  ctx.fillStyle = '#6cb3d4'; ctx.fillRect(W - 120, 34, 14, 14);\n  ctx.fillStyle = '#1a1a1a'; ctx.fillText('User Pref.', W - 102, 46);\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0,20,40,60,80].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ 80);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText(v + '%', padL - 5, y + 4);\n  });\n  var groupW = (W - padL - padR) \/ share.length;\n  var bW = groupW * 0.35;\n  share.forEach(function(val, i) {\n    var gx = padL + i * groupW + groupW * 0.1;\n    var bH = (H - padT - padB) * (val \/ 80);\n    var y = H - padB - bH;\n    ctx.fillStyle = '#d0a933';\n    ctx.fillRect(gx, y, bW, bH);\n    ctx.fillStyle = '#fff'; ctx.font = 'bold 10px Arial'; ctx.textAlign = 'center';\n    ctx.fillText(val + '%', gx + bW\/2, y + 14);\n    var p = pref[i];\n    var pH = (H - padT - padB) * (p \/ 80);\n    var py = H - padB - pH;\n    ctx.fillStyle = '#6cb3d4';\n    ctx.fillRect(gx + bW + 4, py, bW, pH);\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 10px Arial';\n    ctx.fillText(p + '%', gx + bW * 1.5 + 4, py - 5);\n    ctx.fillStyle = '#555'; ctx.font = '10px Arial';\n    ctx.fillText(labels[i], gx + bW + 2, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>What other fintech tools can support loan planning and financial decisions?<\/h2>\n\n<p>Borrowers planning a digital loan benefit from running the numbers before they apply. The <a href=\"https:\/\/fintechrevo.us\/\" target=\"_blank\" rel=\"noopener\">FinTech Revo .Com Fintech EMI Calculator<\/a> helps break down monthly repayment schedules so borrowers can see whether a loan fits their budget before committing. For those tracking how savings or interest accumulates over time alongside a loan, the <a href=\"https:\/\/thefintechrevo.com\/\" target=\"_blank\" rel=\"noopener\">FinTech Revo .Com Fintech Compound Interest Calculator<\/a> provides a clear picture of long-term cost. Anyone comparing fixed-rate short-term products can use the <a href=\"https:\/\/fintech-revo.us\/\" target=\"_blank\" rel=\"noopener\">FinTech Revo .Com Fintech Simple Interest Calculator<\/a> to verify quoted costs instantly. Before starting any application, the <a href=\"https:\/\/fintech-revo.org\/\" target=\"_blank\" rel=\"noopener\">FinTech Revo .Com Fintech Loan Eligibility Checker<\/a> gives a pre-qualification estimate based on income, existing debts, and credit profile.<\/p>\n\n<!-- ============================================================ -->\n<h2>What do future projections say about digital lending in the United States?<\/h2>\n\n<p>The U.S. digital lending market is projected to reach $1.68 trillion by 2030, growing at a CAGR of 12.4% from 2024, per McKinsey. Digital borrower numbers are expected to exceed 190 million by 2027, according to Insider Intelligence. AI-driven underwriting adoption will reach 94% of all fintech originations by 2026, per Statista projections. Embedded lending \u2014 credit integrated directly inside e-commerce and SaaS platforms \u2014 is forecast to capture a 22% market share by 2028, per McKinsey research.<\/p>\n\n<table>\n  <thead>\n    <tr><th>Projection Area<\/th><th>Statistic<\/th><th>Timeline<\/th><th>Source Reference<\/th><\/tr>\n  <\/thead>\n  <tbody>\n    <tr><td>Total Market Size<\/td><td>$1.68 Trillion<\/td><td>By 2030<\/td><td>McKinsey<\/td><\/tr>\n    <tr><td>CAGR (2024\u20132030)<\/td><td>12.4%<\/td><td>2024\u20132030<\/td><td>McKinsey<\/td><\/tr>\n    <tr><td>Active Digital Borrowers<\/td><td>190+ Million<\/td><td>By 2027<\/td><td>Insider Intelligence<\/td><\/tr>\n    <tr><td>AI Underwriting Adoption<\/td><td>94% of Fintech Originations<\/td><td>By 2026<\/td><td>Statista<\/td><\/tr>\n    <tr><td>BNPL Market Size<\/td><td>$233 Billion<\/td><td>By 2028<\/td><td>TransUnion<\/td><\/tr>\n    <tr><td>Embedded Lending Market Share<\/td><td>22%<\/td><td>By 2028<\/td><td>McKinsey<\/td><\/tr>\n  <\/tbody>\n<\/table>\n\n<div class=\"graph-container\">\n  <div class=\"graph-title\">U.S. Digital Lending Market Projections 2024\u20132030 (USD Billions)<\/div>\n  <canvas id=\"chart-projections\" width=\"700\" height=\"300\"><\/canvas>\n<\/div>\n\n<script>\n(function(){\n  var canvas = document.getElementById('chart-projections');\n  if (!canvas) return;\n  var ctx = canvas.getContext('2d');\n  var data = [868, 976, 1097, 1233, 1387, 1559, 1680];\n  var labels = ['2024','2025','2026','2027','2028','2029','2030'];\n  var max = 1800;\n  var W = canvas.width, H = canvas.height;\n  var padL = 65, padR = 20, padT = 20, padB = 40;\n  ctx.fillStyle = '#fdf8ec'; ctx.fillRect(0, 0, W, H);\n  var pts = data.map(function(v, i) {\n    return {\n      x: padL + i * (W - padL - padR) \/ (data.length - 1),\n      y: padT + (H - padT - padB) * (1 - v \/ max)\n    };\n  });\n  ctx.strokeStyle = '#e8d898'; ctx.lineWidth = 1;\n  [0,450,900,1350,1800].forEach(function(v) {\n    var y = padT + (H - padT - padB) * (1 - v \/ max);\n    ctx.beginPath(); ctx.moveTo(padL, y); ctx.lineTo(W - padR, y); ctx.stroke();\n    ctx.fillStyle = '#888'; ctx.font = '11px Arial'; ctx.textAlign = 'right';\n    ctx.fillText('$' + v + 'B', padL - 6, y + 4);\n  });\n  \/\/ gradient fill\n  var grad = ctx.createLinearGradient(0, padT, 0, H - padB);\n  grad.addColorStop(0, 'rgba(208,169,51,0.35)');\n  grad.addColorStop(1, 'rgba(208,169,51,0.03)');\n  ctx.beginPath();\n  ctx.moveTo(pts[0].x, H - padB);\n  pts.forEach(function(p) { ctx.lineTo(p.x, p.y); });\n  ctx.lineTo(pts[pts.length - 1].x, H - padB);\n  ctx.closePath();\n  ctx.fillStyle = grad;\n  ctx.fill();\n  ctx.beginPath();\n  pts.forEach(function(p, i) { i === 0 ? ctx.moveTo(p.x, p.y) : ctx.lineTo(p.x, p.y); });\n  ctx.strokeStyle = '#d0a933'; ctx.lineWidth = 3; ctx.stroke();\n  pts.forEach(function(p, i) {\n    ctx.beginPath(); ctx.arc(p.x, p.y, 5, 0, Math.PI * 2);\n    ctx.fillStyle = '#d0a933'; ctx.fill();\n    ctx.fillStyle = '#1a1a1a'; ctx.font = 'bold 10px Arial'; ctx.textAlign = 'center';\n    ctx.fillText('$' + (data[i] >= 1000 ? (data[i]\/1000).toFixed(2) + 'T' : data[i] + 'B'), p.x, p.y - 10);\n    ctx.fillStyle = '#555'; ctx.font = '12px Arial';\n    ctx.fillText(labels[i], p.x, H - padB + 16);\n  });\n})();\n<\/script>\n\n<!-- ============================================================ -->\n<h2>FAQs<\/h2>\n\n<p><strong>Q: What is the current size of the digital lending market in the United States?<\/strong><br>\nA: The U.S. digital lending market reached $772 billion in total origination volume in 2023. It has grown at a compound annual rate of approximately 12% since 2019, per Statista and McKinsey. This figure includes personal loans, mortgages, auto loans, BNPL, and small business digital credit. The market is projected to reach $1.68 trillion by 2030.<\/p>\n\n<p><strong>Q: What percentage of U.S. loans are now processed digitally?<\/strong><br>\nA: Approximately 71% of personal loan applications were submitted digitally in 2023, per TransUnion. Mortgage digital originations reached 54% and auto loans reached 63% in the same period. Student loan applications are the most digitised segment at 82%, per Insider Intelligence. These percentages vary by loan type and borrower age group.<\/p>\n\n<p><strong>Q: Are approval rates higher with digital lenders than traditional banks?<\/strong><br>\nA: Digital lenders approved 72% of personal loan applications in 2023, compared with 44% at traditional commercial banks, per the Federal Reserve. The gap widens for near-prime borrowers: those with credit scores between 580 and 669 saw approval rates of 61% at fintechs versus 18% at banks, per TransUnion. Automated underwriting systems drive most of this difference. Approval rates still depend on income, debt-to-income ratio, and platform-specific criteria.<\/p>\n\n<p><strong>Q: What is the fastest-growing segment in U.S. digital lending?<\/strong><br>\nA: Buy Now Pay Later grew 27% year-over-year in 2023, reaching $114 billion in transaction volume, per TransUnion. That growth rate exceeded every other digital lending segment. BNPL adoption among Americans aged 18 to 34 stands at 48%, making it the dominant fintech credit product for younger consumers. Default rates for BNPL products are higher than credit cards, which remains a key concern for regulators.<\/p>\n\n<p><strong>Q: What are the biggest risks in digital lending?<\/strong><br>\nA: Default rates on unsecured digital loans averaged 5.6% in 2023, per Experian, higher than secured credit products. Fraud losses exceeded $3.1 billion in 2022, a 48% rise from 2020. Average APRs on fintech personal loans hit 22.4% in 2023, per the Federal Reserve, which raises affordability concerns for borrowers with limited alternatives. Regulatory actions against digital lenders grew 31% in 2022, per FDIC, signalling increased oversight pressure.<\/p>\n\n<p><strong>Q: How long does it take to get approved for a digital loan?<\/strong><br>\nA: The average digital lending decision takes 4.2 minutes as of 2023, down from 18 minutes in 2019, per McKinsey. Full loan disbursement from application to funding averages 5 business days for digital lenders. Traditional banks average 31 days for the same process. Some digital lenders offer same-day funding for qualified borrowers on amounts under $25,000.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digital Lending Market Statistics in the United States The United States digital lending market passed $700 billion in origination volume in 2023. This article covers the Digital Lending Market Statistics in the United States across market size, segment growth, approval rates, borrower behaviour, and projections through 2030. Total Market Size (2023) $772 Billion Digital origination&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_kad_post_transparent":"","_kad_post_title":"hide","_kad_post_layout":"right","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/pages\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":1,"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/pages\/12\/revisions"}],"predecessor-version":[{"id":13,"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/pages\/12\/revisions\/13"}],"wp:attachment":[{"href":"https:\/\/fintech-revo.net\/index.php\/wp-json\/wp\/v2\/media?parent=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}